Serveur d'exploration Chloroquine

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

TLR expression in peripheral monocyte subsets of patients with idiopathic inflammatory myopathies: association with clinical and immunological features

Identifieur interne : 000125 ( Pmc/Corpus ); précédent : 000124; suivant : 000126

TLR expression in peripheral monocyte subsets of patients with idiopathic inflammatory myopathies: association with clinical and immunological features

Auteurs : Jiram Torres-Ruiz ; Daniel Alberto Carrillo-Vazquez ; Diana Marcela Padilla-Ortiz ; Ricardo Vazquez-Rodriguez ; Carlos Nu Ez-Alvarez ; Guillermo Juarez-Vega ; Diana Gomez-Martin

Source :

RBID : PMC:7066841

Abstract

Background

Monocytes and toll-like receptors (TLR) have been found in the inflammatory infiltrate of muscle biopsies in patients with idiopathic inflammatory myopathies (IIM), suggesting an important role of these cells in the pathogenesis of myositis. The monocyte subsets, their TLR expression in peripheral blood and their relationship with the clinical characteristics of patients with IIM has not been addressed.

Methods

We recruited 45 patients with IIM diagnosis and 15 age and sex-adjusted healthy controls. We assessed the disease activity and damage, performed a nailfold capillaroscopy and registered the cardio-pulmonary parameters from the medical charts. Monocyte subsets, their expression of TLR2 and TLR4 and the serum Th1/Th2/Th17 cytokines levels were evaluated by flow cytometry. We expressed quantitative variables as medians and interquartile ranges (IQR) or minimum and maximum (min–max). Differences between groups were assessed with Mann–Whitney U and the Kruskal–Wallis tests. Correlation between quantitative variables was assessed with Spearman Rho.

Results

Twenty-nine patients were women (64.4%) and 32 (71.1%) had dermatomyositis. In comparison to healthy controls, patients with active IIM had a higher percentage of intermediate monocytes and lower amounts of classical monocytes. Patients with IIM had a higher expression of TLR4 in all their monocyte subsets, regardless of disease activity and prednisone treatment. Serum IL-6 correlated with the TLR2 expression in every monocyte subset and the expression of TLR2 in intermediate monocytes was higher among patients with dysphagia. Subjects with nailfold capillaroscopy abnormalities had a higher amount of TLR2+ classical and non-classical monocytes and those with interstitial lung disease (ILD) had a higher percentage of TLR4+ non-classical monocytes. The classical and intermediate monocytes from patients with anti Mi2 antibodies had a higher expression of TLR4. The percentage of intermediate monocytes and the expression of TLR4 in all monocyte subsets showed a good diagnostic capacity in patients with IIM.

Conclusion

Patients with IIM have a differential pool of monocyte subsets with an enhanced expression of TLR2 and TLR4, which correlates with disease activity and distinctive clinical features including dysphagia, ILD, vasculopathy, and pro-inflammatory cytokines. These immunological features might be useful as a potential diagnostic tool as well as novel disease activity biomarkers in IIM.


Url:
DOI: 10.1186/s12967-020-02290-3
PubMed: 32164729
PubMed Central: 7066841

Links to Exploration step

PMC:7066841

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">TLR expression in peripheral monocyte subsets of patients with idiopathic inflammatory myopathies: association with clinical and immunological features</title>
<author>
<name sortKey="Torres Ruiz, Jiram" sort="Torres Ruiz, Jiram" uniqKey="Torres Ruiz J" first="Jiram" last="Torres-Ruiz">Jiram Torres-Ruiz</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Emergency Medicine Department,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Carrillo Vazquez, Daniel Alberto" sort="Carrillo Vazquez, Daniel Alberto" uniqKey="Carrillo Vazquez D" first="Daniel Alberto" last="Carrillo-Vazquez">Daniel Alberto Carrillo-Vazquez</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Padilla Ortiz, Diana Marcela" sort="Padilla Ortiz, Diana Marcela" uniqKey="Padilla Ortiz D" first="Diana Marcela" last="Padilla-Ortiz">Diana Marcela Padilla-Ortiz</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="Aff3">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.466717.5</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 0447 449X</institution-id>
<institution>Universidad de La Sabana, Hospital Militar Central,</institution>
</institution-wrap>
Bogotá, DC Colombia</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Vazquez Rodriguez, Ricardo" sort="Vazquez Rodriguez, Ricardo" uniqKey="Vazquez Rodriguez R" first="Ricardo" last="Vazquez-Rodriguez">Ricardo Vazquez-Rodriguez</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nu Ez Alvarez, Carlos" sort="Nu Ez Alvarez, Carlos" uniqKey="Nu Ez Alvarez C" first="Carlos" last="Nu Ez-Alvarez">Carlos Nu Ez-Alvarez</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Juarez Vega, Guillermo" sort="Juarez Vega, Guillermo" uniqKey="Juarez Vega G" first="Guillermo" last="Juarez-Vega">Guillermo Juarez-Vega</name>
<affiliation>
<nlm:aff id="Aff4">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.9486.3</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 2159 0001</institution-id>
<institution>Flow Cytometry Unit, Red de Apoyo a la Investigación, Coordinación de Investigación Científica,</institution>
<institution>Universidad Nacional Autónoma de México,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Gomez Martin, Diana" sort="Gomez Martin, Diana" uniqKey="Gomez Martin D" first="Diana" last="Gomez-Martin">Diana Gomez-Martin</name>
<affiliation>
<nlm:aff id="Aff5">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.419886.a</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 2203 4701</institution-id>
<institution>Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud,</institution>
</institution-wrap>
Ave Morones Prieto 3000, 64710 Monterrey, Nuevo Leon Mexico</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">32164729</idno>
<idno type="pmc">7066841</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066841</idno>
<idno type="RBID">PMC:7066841</idno>
<idno type="doi">10.1186/s12967-020-02290-3</idno>
<date when="2020">2020</date>
<idno type="wicri:Area/Pmc/Corpus">000125</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000125</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">TLR expression in peripheral monocyte subsets of patients with idiopathic inflammatory myopathies: association with clinical and immunological features</title>
<author>
<name sortKey="Torres Ruiz, Jiram" sort="Torres Ruiz, Jiram" uniqKey="Torres Ruiz J" first="Jiram" last="Torres-Ruiz">Jiram Torres-Ruiz</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Emergency Medicine Department,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Carrillo Vazquez, Daniel Alberto" sort="Carrillo Vazquez, Daniel Alberto" uniqKey="Carrillo Vazquez D" first="Daniel Alberto" last="Carrillo-Vazquez">Daniel Alberto Carrillo-Vazquez</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Padilla Ortiz, Diana Marcela" sort="Padilla Ortiz, Diana Marcela" uniqKey="Padilla Ortiz D" first="Diana Marcela" last="Padilla-Ortiz">Diana Marcela Padilla-Ortiz</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="Aff3">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.466717.5</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 0447 449X</institution-id>
<institution>Universidad de La Sabana, Hospital Militar Central,</institution>
</institution-wrap>
Bogotá, DC Colombia</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Vazquez Rodriguez, Ricardo" sort="Vazquez Rodriguez, Ricardo" uniqKey="Vazquez Rodriguez R" first="Ricardo" last="Vazquez-Rodriguez">Ricardo Vazquez-Rodriguez</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nu Ez Alvarez, Carlos" sort="Nu Ez Alvarez, Carlos" uniqKey="Nu Ez Alvarez C" first="Carlos" last="Nu Ez-Alvarez">Carlos Nu Ez-Alvarez</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Juarez Vega, Guillermo" sort="Juarez Vega, Guillermo" uniqKey="Juarez Vega G" first="Guillermo" last="Juarez-Vega">Guillermo Juarez-Vega</name>
<affiliation>
<nlm:aff id="Aff4">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.9486.3</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 2159 0001</institution-id>
<institution>Flow Cytometry Unit, Red de Apoyo a la Investigación, Coordinación de Investigación Científica,</institution>
<institution>Universidad Nacional Autónoma de México,</institution>
</institution-wrap>
Mexico City, Mexico</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Gomez Martin, Diana" sort="Gomez Martin, Diana" uniqKey="Gomez Martin D" first="Diana" last="Gomez-Martin">Diana Gomez-Martin</name>
<affiliation>
<nlm:aff id="Aff5">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.419886.a</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 2203 4701</institution-id>
<institution>Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud,</institution>
</institution-wrap>
Ave Morones Prieto 3000, 64710 Monterrey, Nuevo Leon Mexico</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Journal of Translational Medicine</title>
<idno type="eISSN">1479-5876</idno>
<imprint>
<date when="2020">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p id="Par1">Monocytes and toll-like receptors (TLR) have been found in the inflammatory infiltrate of muscle biopsies in patients with idiopathic inflammatory myopathies (IIM), suggesting an important role of these cells in the pathogenesis of myositis. The monocyte subsets, their TLR expression in peripheral blood and their relationship with the clinical characteristics of patients with IIM has not been addressed.</p>
</sec>
<sec>
<title>Methods</title>
<p id="Par2">We recruited 45 patients with IIM diagnosis and 15 age and sex-adjusted healthy controls. We assessed the disease activity and damage, performed a nailfold capillaroscopy and registered the cardio-pulmonary parameters from the medical charts. Monocyte subsets, their expression of TLR2 and TLR4 and the serum Th1/Th2/Th17 cytokines levels were evaluated by flow cytometry. We expressed quantitative variables as medians and interquartile ranges (IQR) or minimum and maximum (min–max). Differences between groups were assessed with Mann–Whitney U and the Kruskal–Wallis tests. Correlation between quantitative variables was assessed with Spearman Rho.</p>
</sec>
<sec>
<title>Results</title>
<p id="Par3">Twenty-nine patients were women (64.4%) and 32 (71.1%) had dermatomyositis. In comparison to healthy controls, patients with active IIM had a higher percentage of intermediate monocytes and lower amounts of classical monocytes. Patients with IIM had a higher expression of TLR4 in all their monocyte subsets, regardless of disease activity and prednisone treatment. Serum IL-6 correlated with the TLR2 expression in every monocyte subset and the expression of TLR2 in intermediate monocytes was higher among patients with dysphagia. Subjects with nailfold capillaroscopy abnormalities had a higher amount of TLR2+ classical and non-classical monocytes and those with interstitial lung disease (ILD) had a higher percentage of TLR4+ non-classical monocytes. The classical and intermediate monocytes from patients with anti Mi2 antibodies had a higher expression of TLR4. The percentage of intermediate monocytes and the expression of TLR4 in all monocyte subsets showed a good diagnostic capacity in patients with IIM.</p>
</sec>
<sec>
<title>Conclusion</title>
<p id="Par4">Patients with IIM have a differential pool of monocyte subsets with an enhanced expression of TLR2 and TLR4, which correlates with disease activity and distinctive clinical features including dysphagia, ILD, vasculopathy, and pro-inflammatory cytokines. These immunological features might be useful as a potential diagnostic tool as well as novel disease activity biomarkers in IIM.</p>
</sec>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Milone, M" uniqKey="Milone M">M Milone</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tieu, J" uniqKey="Tieu J">J Tieu</name>
</author>
<author>
<name sortKey="Lundberg, Ie" uniqKey="Lundberg I">IE Lundberg</name>
</author>
<author>
<name sortKey="Limaye, V" uniqKey="Limaye V">V Limaye</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Malik, A" uniqKey="Malik A">A Malik</name>
</author>
<author>
<name sortKey="Hayat, G" uniqKey="Hayat G">G Hayat</name>
</author>
<author>
<name sortKey="Kalia, Js" uniqKey="Kalia J">JS Kalia</name>
</author>
<author>
<name sortKey="Guzman, Ma" uniqKey="Guzman M">MA Guzman</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lundberg, Ie" uniqKey="Lundberg I">IE Lundberg</name>
</author>
<author>
<name sortKey="Tjarnlund, A" uniqKey="Tjarnlund A">A Tjarnlund</name>
</author>
<author>
<name sortKey="Bottai, M" uniqKey="Bottai M">M Bottai</name>
</author>
<author>
<name sortKey="Werth, Vp" uniqKey="Werth V">VP Werth</name>
</author>
<author>
<name sortKey="Pilkington, C" uniqKey="Pilkington C">C Pilkington</name>
</author>
<author>
<name sortKey="Visser, M" uniqKey="Visser M">M Visser</name>
</author>
<author>
<name sortKey="Alfredsson, L" uniqKey="Alfredsson L">L Alfredsson</name>
</author>
<author>
<name sortKey="Amato, Aa" uniqKey="Amato A">AA Amato</name>
</author>
<author>
<name sortKey="Barohn, Rj" uniqKey="Barohn R">RJ Barohn</name>
</author>
<author>
<name sortKey="Liang, Mh" uniqKey="Liang M">MH Liang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ziegler Heitbrock, L" uniqKey="Ziegler Heitbrock L">L Ziegler-Heitbrock</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nicholson, Lb" uniqKey="Nicholson L">LB Nicholson</name>
</author>
<author>
<name sortKey="Raveney, Bj" uniqKey="Raveney B">BJ Raveney</name>
</author>
<author>
<name sortKey="Munder, M" uniqKey="Munder M">M Munder</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gordon, S" uniqKey="Gordon S">S Gordon</name>
</author>
<author>
<name sortKey="Taylor, Pr" uniqKey="Taylor P">PR Taylor</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Jimenez Dalmaroni, Mj" uniqKey="Jimenez Dalmaroni M">MJ Jimenez-Dalmaroni</name>
</author>
<author>
<name sortKey="Gerswhin, Me" uniqKey="Gerswhin M">ME Gerswhin</name>
</author>
<author>
<name sortKey="Adamopoulos, Ie" uniqKey="Adamopoulos I">IE Adamopoulos</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Jiang, W" uniqKey="Jiang W">W Jiang</name>
</author>
<author>
<name sortKey="Gilkeson, G" uniqKey="Gilkeson G">G Gilkeson</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mcgrath, Er" uniqKey="Mcgrath E">ER McGrath</name>
</author>
<author>
<name sortKey="Doughty, Ct" uniqKey="Doughty C">CT Doughty</name>
</author>
<author>
<name sortKey="Amato, Aa" uniqKey="Amato A">AA Amato</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Afzali, Am" uniqKey="Afzali A">AM Afzali</name>
</author>
<author>
<name sortKey="Ruck, T" uniqKey="Ruck T">T Ruck</name>
</author>
<author>
<name sortKey="Wiendl, H" uniqKey="Wiendl H">H Wiendl</name>
</author>
<author>
<name sortKey="Meuth, Sg" uniqKey="Meuth S">SG Meuth</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rayavarapu, S" uniqKey="Rayavarapu S">S Rayavarapu</name>
</author>
<author>
<name sortKey="Coley, W" uniqKey="Coley W">W Coley</name>
</author>
<author>
<name sortKey="Kinder, Tb" uniqKey="Kinder T">TB Kinder</name>
</author>
<author>
<name sortKey="Nagaraju, K" uniqKey="Nagaraju K">K Nagaraju</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kim, Gt" uniqKey="Kim G">GT Kim</name>
</author>
<author>
<name sortKey="Cho, Ml" uniqKey="Cho M">ML Cho</name>
</author>
<author>
<name sortKey="Park, Ye" uniqKey="Park Y">YE Park</name>
</author>
<author>
<name sortKey="Yoo, Wh" uniqKey="Yoo W">WH Yoo</name>
</author>
<author>
<name sortKey="Kim, Jh" uniqKey="Kim J">JH Kim</name>
</author>
<author>
<name sortKey="Oh, Hj" uniqKey="Oh H">HJ Oh</name>
</author>
<author>
<name sortKey="Kim, Ds" uniqKey="Kim D">DS Kim</name>
</author>
<author>
<name sortKey="Baek, Sh" uniqKey="Baek S">SH Baek</name>
</author>
<author>
<name sortKey="Lee, Sh" uniqKey="Lee S">SH Lee</name>
</author>
<author>
<name sortKey="Lee, Jh" uniqKey="Lee J">JH Lee</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Brunn, A" uniqKey="Brunn A">A Brunn</name>
</author>
<author>
<name sortKey="Zornbach, K" uniqKey="Zornbach K">K Zornbach</name>
</author>
<author>
<name sortKey="Hans, Vh" uniqKey="Hans V">VH Hans</name>
</author>
<author>
<name sortKey="Haupt, Wf" uniqKey="Haupt W">WF Haupt</name>
</author>
<author>
<name sortKey="Deckert, M" uniqKey="Deckert M">M Deckert</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wong, Kl" uniqKey="Wong K">KL Wong</name>
</author>
<author>
<name sortKey="Yeap, Wh" uniqKey="Yeap W">WH Yeap</name>
</author>
<author>
<name sortKey="Tai, Jj" uniqKey="Tai J">JJ Tai</name>
</author>
<author>
<name sortKey="Ong, Sm" uniqKey="Ong S">SM Ong</name>
</author>
<author>
<name sortKey="Dang, Tm" uniqKey="Dang T">TM Dang</name>
</author>
<author>
<name sortKey="Wong, Sc" uniqKey="Wong S">SC Wong</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Anbazhagan, K" uniqKey="Anbazhagan K">K Anbazhagan</name>
</author>
<author>
<name sortKey="Duroux Richard, I" uniqKey="Duroux Richard I">I Duroux-Richard</name>
</author>
<author>
<name sortKey="Jorgensen, C" uniqKey="Jorgensen C">C Jorgensen</name>
</author>
<author>
<name sortKey="Apparailly, F" uniqKey="Apparailly F">F Apparailly</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Grip, O" uniqKey="Grip O">O Grip</name>
</author>
<author>
<name sortKey="Bredberg, A" uniqKey="Bredberg A">A Bredberg</name>
</author>
<author>
<name sortKey="Lindgren, S" uniqKey="Lindgren S">S Lindgren</name>
</author>
<author>
<name sortKey="Henriksson, G" uniqKey="Henriksson G">G Henriksson</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rossol, M" uniqKey="Rossol M">M Rossol</name>
</author>
<author>
<name sortKey="Kraus, S" uniqKey="Kraus S">S Kraus</name>
</author>
<author>
<name sortKey="Pierer, M" uniqKey="Pierer M">M Pierer</name>
</author>
<author>
<name sortKey="Baerwald, C" uniqKey="Baerwald C">C Baerwald</name>
</author>
<author>
<name sortKey="Wagner, U" uniqKey="Wagner U">U Wagner</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Aggarwal, R" uniqKey="Aggarwal R">R Aggarwal</name>
</author>
<author>
<name sortKey="Rider, Lg" uniqKey="Rider L">LG Rider</name>
</author>
<author>
<name sortKey="Ruperto, N" uniqKey="Ruperto N">N Ruperto</name>
</author>
<author>
<name sortKey="Bayat, N" uniqKey="Bayat N">N Bayat</name>
</author>
<author>
<name sortKey="Erman, B" uniqKey="Erman B">B Erman</name>
</author>
<author>
<name sortKey="Feldman, Bm" uniqKey="Feldman B">BM Feldman</name>
</author>
<author>
<name sortKey="Oddis, Cv" uniqKey="Oddis C">CV Oddis</name>
</author>
<author>
<name sortKey="Amato, Aa" uniqKey="Amato A">AA Amato</name>
</author>
<author>
<name sortKey="Chinoy, H" uniqKey="Chinoy H">H Chinoy</name>
</author>
<author>
<name sortKey="Cooper, Rg" uniqKey="Cooper R">RG Cooper</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bohan, A" uniqKey="Bohan A">A Bohan</name>
</author>
<author>
<name sortKey="Peter, Jb" uniqKey="Peter J">JB Peter</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Euwer, Rl" uniqKey="Euwer R">RL Euwer</name>
</author>
<author>
<name sortKey="Sontheimer, Rd" uniqKey="Sontheimer R">RD Sontheimer</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Remijsen, Q" uniqKey="Remijsen Q">Q Remijsen</name>
</author>
<author>
<name sortKey="Vanden Berghe, T" uniqKey="Vanden Berghe T">T Vanden Berghe</name>
</author>
<author>
<name sortKey="Wirawan, E" uniqKey="Wirawan E">E Wirawan</name>
</author>
<author>
<name sortKey="Asselbergh, B" uniqKey="Asselbergh B">B Asselbergh</name>
</author>
<author>
<name sortKey="Parthoens, E" uniqKey="Parthoens E">E Parthoens</name>
</author>
<author>
<name sortKey="De Rycke, R" uniqKey="De Rycke R">R De Rycke</name>
</author>
<author>
<name sortKey="Noppen, S" uniqKey="Noppen S">S Noppen</name>
</author>
<author>
<name sortKey="Delforge, M" uniqKey="Delforge M">M Delforge</name>
</author>
<author>
<name sortKey="Willems, J" uniqKey="Willems J">J Willems</name>
</author>
<author>
<name sortKey="Vandenabeele, P" uniqKey="Vandenabeele P">P Vandenabeele</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rider, Lg" uniqKey="Rider L">LG Rider</name>
</author>
<author>
<name sortKey="Werth, Vp" uniqKey="Werth V">VP Werth</name>
</author>
<author>
<name sortKey="Huber, Am" uniqKey="Huber A">AM Huber</name>
</author>
<author>
<name sortKey="Alexanderson, H" uniqKey="Alexanderson H">H Alexanderson</name>
</author>
<author>
<name sortKey="Rao, Ap" uniqKey="Rao A">AP Rao</name>
</author>
<author>
<name sortKey="Ruperto, N" uniqKey="Ruperto N">N Ruperto</name>
</author>
<author>
<name sortKey="Herbelin, L" uniqKey="Herbelin L">L Herbelin</name>
</author>
<author>
<name sortKey="Barohn, R" uniqKey="Barohn R">R Barohn</name>
</author>
<author>
<name sortKey="Isenberg, D" uniqKey="Isenberg D">D Isenberg</name>
</author>
<author>
<name sortKey="Miller, Fw" uniqKey="Miller F">FW Miller</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Oddis, Cv" uniqKey="Oddis C">CV Oddis</name>
</author>
<author>
<name sortKey="Rider, Lg" uniqKey="Rider L">LG Rider</name>
</author>
<author>
<name sortKey="Reed, Am" uniqKey="Reed A">AM Reed</name>
</author>
<author>
<name sortKey="Ruperto, N" uniqKey="Ruperto N">N Ruperto</name>
</author>
<author>
<name sortKey="Brunner, Hi" uniqKey="Brunner H">HI Brunner</name>
</author>
<author>
<name sortKey="Koneru, B" uniqKey="Koneru B">B Koneru</name>
</author>
<author>
<name sortKey="Feldman, Bm" uniqKey="Feldman B">BM Feldman</name>
</author>
<author>
<name sortKey="Giannini, Eh" uniqKey="Giannini E">EH Giannini</name>
</author>
<author>
<name sortKey="Miller, Fw" uniqKey="Miller F">FW Miller</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Andracco, R" uniqKey="Andracco R">R Andracco</name>
</author>
<author>
<name sortKey="Irace, R" uniqKey="Irace R">R Irace</name>
</author>
<author>
<name sortKey="Zaccara, E" uniqKey="Zaccara E">E Zaccara</name>
</author>
<author>
<name sortKey="Vettori, S" uniqKey="Vettori S">S Vettori</name>
</author>
<author>
<name sortKey="Maglione, W" uniqKey="Maglione W">W Maglione</name>
</author>
<author>
<name sortKey="Riccardi, A" uniqKey="Riccardi A">A Riccardi</name>
</author>
<author>
<name sortKey="Pignataro, F" uniqKey="Pignataro F">F Pignataro</name>
</author>
<author>
<name sortKey="Ferrara, R" uniqKey="Ferrara R">R Ferrara</name>
</author>
<author>
<name sortKey="Sambataro, D" uniqKey="Sambataro D">D Sambataro</name>
</author>
<author>
<name sortKey="Sambataro, G" uniqKey="Sambataro G">G Sambataro</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ziegler Heitbrock, L" uniqKey="Ziegler Heitbrock L">L Ziegler-Heitbrock</name>
</author>
<author>
<name sortKey="Ancuta, P" uniqKey="Ancuta P">P Ancuta</name>
</author>
<author>
<name sortKey="Crowe, S" uniqKey="Crowe S">S Crowe</name>
</author>
<author>
<name sortKey="Dalod, M" uniqKey="Dalod M">M Dalod</name>
</author>
<author>
<name sortKey="Grau, V" uniqKey="Grau V">V Grau</name>
</author>
<author>
<name sortKey="Hart, Dn" uniqKey="Hart D">DN Hart</name>
</author>
<author>
<name sortKey="Leenen, Pj" uniqKey="Leenen P">PJ Leenen</name>
</author>
<author>
<name sortKey="Liu, Yj" uniqKey="Liu Y">YJ Liu</name>
</author>
<author>
<name sortKey="Macpherson, G" uniqKey="Macpherson G">G MacPherson</name>
</author>
<author>
<name sortKey="Randolph, Gj" uniqKey="Randolph G">GJ Randolph</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chara, L" uniqKey="Chara L">L Chara</name>
</author>
<author>
<name sortKey="Sanchez Atrio, A" uniqKey="Sanchez Atrio A">A Sanchez-Atrio</name>
</author>
<author>
<name sortKey="Perez, A" uniqKey="Perez A">A Perez</name>
</author>
<author>
<name sortKey="Cuende, E" uniqKey="Cuende E">E Cuende</name>
</author>
<author>
<name sortKey="Albarran, F" uniqKey="Albarran F">F Albarran</name>
</author>
<author>
<name sortKey="Turrion, A" uniqKey="Turrion A">A Turrion</name>
</author>
<author>
<name sortKey="Chevarria, J" uniqKey="Chevarria J">J Chevarria</name>
</author>
<author>
<name sortKey="Sanchez, Ma" uniqKey="Sanchez M">MA Sanchez</name>
</author>
<author>
<name sortKey="Monserrat, J" uniqKey="Monserrat J">J Monserrat</name>
</author>
<author>
<name sortKey="De La Hera, A" uniqKey="De La Hera A">A de la Hera</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="De Rycke, L" uniqKey="De Rycke L">L De Rycke</name>
</author>
<author>
<name sortKey="Vandooren, B" uniqKey="Vandooren B">B Vandooren</name>
</author>
<author>
<name sortKey="Kruithof, E" uniqKey="Kruithof E">E Kruithof</name>
</author>
<author>
<name sortKey="De Keyser, F" uniqKey="De Keyser F">F De Keyser</name>
</author>
<author>
<name sortKey="Veys, Em" uniqKey="Veys E">EM Veys</name>
</author>
<author>
<name sortKey="Baeten, D" uniqKey="Baeten D">D Baeten</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chara, L" uniqKey="Chara L">L Chara</name>
</author>
<author>
<name sortKey="Sanchez Atrio, A" uniqKey="Sanchez Atrio A">A Sanchez-Atrio</name>
</author>
<author>
<name sortKey="Perez, A" uniqKey="Perez A">A Perez</name>
</author>
<author>
<name sortKey="Cuende, E" uniqKey="Cuende E">E Cuende</name>
</author>
<author>
<name sortKey="Albarran, F" uniqKey="Albarran F">F Albarran</name>
</author>
<author>
<name sortKey="Turrion, A" uniqKey="Turrion A">A Turrion</name>
</author>
<author>
<name sortKey="Chevarria, J" uniqKey="Chevarria J">J Chevarria</name>
</author>
<author>
<name sortKey="Del Barco, Aa" uniqKey="Del Barco A">AA del Barco</name>
</author>
<author>
<name sortKey="Sanchez, Ma" uniqKey="Sanchez M">MA Sanchez</name>
</author>
<author>
<name sortKey="Monserrat, J" uniqKey="Monserrat J">J Monserrat</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rogacev, Ks" uniqKey="Rogacev K">KS Rogacev</name>
</author>
<author>
<name sortKey="Zawada, Am" uniqKey="Zawada A">AM Zawada</name>
</author>
<author>
<name sortKey="Hundsdorfer, J" uniqKey="Hundsdorfer J">J Hundsdorfer</name>
</author>
<author>
<name sortKey="Achenbach, M" uniqKey="Achenbach M">M Achenbach</name>
</author>
<author>
<name sortKey="Held, G" uniqKey="Held G">G Held</name>
</author>
<author>
<name sortKey="Fliser, D" uniqKey="Fliser D">D Fliser</name>
</author>
<author>
<name sortKey="Heine, Gh" uniqKey="Heine G">GH Heine</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhang, H" uniqKey="Zhang H">H Zhang</name>
</author>
<author>
<name sortKey="He, F" uniqKey="He F">F He</name>
</author>
<author>
<name sortKey="Shi, M" uniqKey="Shi M">M Shi</name>
</author>
<author>
<name sortKey="Wang, W" uniqKey="Wang W">W Wang</name>
</author>
<author>
<name sortKey="Tian, X" uniqKey="Tian X">X Tian</name>
</author>
<author>
<name sortKey="Kang, J" uniqKey="Kang J">J Kang</name>
</author>
<author>
<name sortKey="Han, W" uniqKey="Han W">W Han</name>
</author>
<author>
<name sortKey="Wu, R" uniqKey="Wu R">R Wu</name>
</author>
<author>
<name sortKey="Zhou, L" uniqKey="Zhou L">L Zhou</name>
</author>
<author>
<name sortKey="Hu, M" uniqKey="Hu M">M Hu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Song, J" uniqKey="Song J">J Song</name>
</author>
<author>
<name sortKey="Kim, D" uniqKey="Kim D">D Kim</name>
</author>
<author>
<name sortKey="Hong, J" uniqKey="Hong J">J Hong</name>
</author>
<author>
<name sortKey="Kim, Gw" uniqKey="Kim G">GW Kim</name>
</author>
<author>
<name sortKey="Jung, J" uniqKey="Jung J">J Jung</name>
</author>
<author>
<name sortKey="Park, S" uniqKey="Park S">S Park</name>
</author>
<author>
<name sortKey="Park, Hj" uniqKey="Park H">HJ Park</name>
</author>
<author>
<name sortKey="Joo, Jwj" uniqKey="Joo J">JWJ Joo</name>
</author>
<author>
<name sortKey="Jang, W" uniqKey="Jang W">W Jang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ben David, H" uniqKey="Ben David H">H Ben-David</name>
</author>
<author>
<name sortKey="Livneh, A" uniqKey="Livneh A">A Livneh</name>
</author>
<author>
<name sortKey="Lidar, M" uniqKey="Lidar M">M Lidar</name>
</author>
<author>
<name sortKey="Feld, O" uniqKey="Feld O">O Feld</name>
</author>
<author>
<name sortKey="Haj Yahia, S" uniqKey="Haj Yahia S">S Haj Yahia</name>
</author>
<author>
<name sortKey="Grossman, C" uniqKey="Grossman C">C Grossman</name>
</author>
<author>
<name sortKey="Ben Zvi, I" uniqKey="Ben Zvi I">I Ben-Zvi</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gjelstrup, Mc" uniqKey="Gjelstrup M">MC Gjelstrup</name>
</author>
<author>
<name sortKey="Stilund, M" uniqKey="Stilund M">M Stilund</name>
</author>
<author>
<name sortKey="Petersen, T" uniqKey="Petersen T">T Petersen</name>
</author>
<author>
<name sortKey="Moller, Hj" uniqKey="Moller H">HJ Moller</name>
</author>
<author>
<name sortKey="Petersen, El" uniqKey="Petersen E">EL Petersen</name>
</author>
<author>
<name sortKey="Christensen, T" uniqKey="Christensen T">T Christensen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gaur, P" uniqKey="Gaur P">P Gaur</name>
</author>
<author>
<name sortKey="Myles, A" uniqKey="Myles A">A Myles</name>
</author>
<author>
<name sortKey="Misra, R" uniqKey="Misra R">R Misra</name>
</author>
<author>
<name sortKey="Aggarwal, A" uniqKey="Aggarwal A">A Aggarwal</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zeng, Q" uniqKey="Zeng Q">Q Zeng</name>
</author>
<author>
<name sortKey="Dong, X" uniqKey="Dong X">X Dong</name>
</author>
<author>
<name sortKey="Ruan, C" uniqKey="Ruan C">C Ruan</name>
</author>
<author>
<name sortKey="Hu, B" uniqKey="Hu B">B Hu</name>
</author>
<author>
<name sortKey="Luo, Y" uniqKey="Luo Y">Y Luo</name>
</author>
<author>
<name sortKey="Luo, Z" uniqKey="Luo Z">Z Luo</name>
</author>
<author>
<name sortKey="Xu, L" uniqKey="Xu L">L Xu</name>
</author>
<author>
<name sortKey="Zhou, H" uniqKey="Zhou H">H Zhou</name>
</author>
<author>
<name sortKey="Wang, R" uniqKey="Wang R">R Wang</name>
</author>
<author>
<name sortKey="Yang, H" uniqKey="Yang H">H Yang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mukherjee, R" uniqKey="Mukherjee R">R Mukherjee</name>
</author>
<author>
<name sortKey="Kanti Barman, P" uniqKey="Kanti Barman P">P Kanti Barman</name>
</author>
<author>
<name sortKey="Kumar Thatoi, P" uniqKey="Kumar Thatoi P">P Kumar Thatoi</name>
</author>
<author>
<name sortKey="Tripathy, R" uniqKey="Tripathy R">R Tripathy</name>
</author>
<author>
<name sortKey="Kumar Das, B" uniqKey="Kumar Das B">B Kumar Das</name>
</author>
<author>
<name sortKey="Ravindran, B" uniqKey="Ravindran B">B Ravindran</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="O Rien, Ec" uniqKey="O Rien E">EC O’Brien</name>
</author>
<author>
<name sortKey="Abdulahad, Wh" uniqKey="Abdulahad W">WH Abdulahad</name>
</author>
<author>
<name sortKey="Rutgers, A" uniqKey="Rutgers A">A Rutgers</name>
</author>
<author>
<name sortKey="Huitema, Mg" uniqKey="Huitema M">MG Huitema</name>
</author>
<author>
<name sortKey="O Eilly, Vp" uniqKey="O Eilly V">VP O’Reilly</name>
</author>
<author>
<name sortKey="Coughlan, Am" uniqKey="Coughlan A">AM Coughlan</name>
</author>
<author>
<name sortKey="Harrington, M" uniqKey="Harrington M">M Harrington</name>
</author>
<author>
<name sortKey="Heeringa, P" uniqKey="Heeringa P">P Heeringa</name>
</author>
<author>
<name sortKey="Little, Ma" uniqKey="Little M">MA Little</name>
</author>
<author>
<name sortKey="Hickey, Fb" uniqKey="Hickey F">FB Hickey</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hijdra, D" uniqKey="Hijdra D">D Hijdra</name>
</author>
<author>
<name sortKey="Vorselaars, Ad" uniqKey="Vorselaars A">AD Vorselaars</name>
</author>
<author>
<name sortKey="Crommelin, Ha" uniqKey="Crommelin H">HA Crommelin</name>
</author>
<author>
<name sortKey="Van Moorsel, Ch" uniqKey="Van Moorsel C">CH van Moorsel</name>
</author>
<author>
<name sortKey="Meek, B" uniqKey="Meek B">B Meek</name>
</author>
<author>
<name sortKey="Claessen, Am" uniqKey="Claessen A">AM Claessen</name>
</author>
<author>
<name sortKey="Rijkers, Gt" uniqKey="Rijkers G">GT Rijkers</name>
</author>
<author>
<name sortKey="Grutters, Jc" uniqKey="Grutters J">JC Grutters</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Eljaszewicz, A" uniqKey="Eljaszewicz A">A Eljaszewicz</name>
</author>
<author>
<name sortKey="Kleina, K" uniqKey="Kleina K">K Kleina</name>
</author>
<author>
<name sortKey="Grubczak, K" uniqKey="Grubczak K">K Grubczak</name>
</author>
<author>
<name sortKey="Radzikowska, U" uniqKey="Radzikowska U">U Radzikowska</name>
</author>
<author>
<name sortKey="Zembko, P" uniqKey="Zembko P">P Zembko</name>
</author>
<author>
<name sortKey="Kaczmarczyk, P" uniqKey="Kaczmarczyk P">P Kaczmarczyk</name>
</author>
<author>
<name sortKey="Tynecka, M" uniqKey="Tynecka M">M Tynecka</name>
</author>
<author>
<name sortKey="Dworzanczyk, K" uniqKey="Dworzanczyk K">K Dworzanczyk</name>
</author>
<author>
<name sortKey="Naumnik, B" uniqKey="Naumnik B">B Naumnik</name>
</author>
<author>
<name sortKey="Moniuszko, M" uniqKey="Moniuszko M">M Moniuszko</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ren, X" uniqKey="Ren X">X Ren</name>
</author>
<author>
<name sortKey="Mou, W" uniqKey="Mou W">W Mou</name>
</author>
<author>
<name sortKey="Su, C" uniqKey="Su C">C Su</name>
</author>
<author>
<name sortKey="Chen, X" uniqKey="Chen X">X Chen</name>
</author>
<author>
<name sortKey="Zhang, H" uniqKey="Zhang H">H Zhang</name>
</author>
<author>
<name sortKey="Cao, B" uniqKey="Cao B">B Cao</name>
</author>
<author>
<name sortKey="Li, X" uniqKey="Li X">X Li</name>
</author>
<author>
<name sortKey="Wu, D" uniqKey="Wu D">D Wu</name>
</author>
<author>
<name sortKey="Ni, X" uniqKey="Ni X">X Ni</name>
</author>
<author>
<name sortKey="Gui, J" uniqKey="Gui J">J Gui</name>
</author>
<author>
<name sortKey="Gong, C" uniqKey="Gong C">C Gong</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wypasek, E" uniqKey="Wypasek E">E Wypasek</name>
</author>
<author>
<name sortKey="Padjas, A" uniqKey="Padjas A">A Padjas</name>
</author>
<author>
<name sortKey="Szymanska, M" uniqKey="Szymanska M">M Szymanska</name>
</author>
<author>
<name sortKey="Plens, K" uniqKey="Plens K">K Plens</name>
</author>
<author>
<name sortKey="Siedlar, M" uniqKey="Siedlar M">M Siedlar</name>
</author>
<author>
<name sortKey="Undas, A" uniqKey="Undas A">A Undas</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Grosse, Gm" uniqKey="Grosse G">GM Grosse</name>
</author>
<author>
<name sortKey="Schulz Schaeffer, Wj" uniqKey="Schulz Schaeffer W">WJ Schulz-Schaeffer</name>
</author>
<author>
<name sortKey="Teebken, Oe" uniqKey="Teebken O">OE Teebken</name>
</author>
<author>
<name sortKey="Schuppner, R" uniqKey="Schuppner R">R Schuppner</name>
</author>
<author>
<name sortKey="Dirks, M" uniqKey="Dirks M">M Dirks</name>
</author>
<author>
<name sortKey="Worthmann, H" uniqKey="Worthmann H">H Worthmann</name>
</author>
<author>
<name sortKey="Lichtinghagen, R" uniqKey="Lichtinghagen R">R Lichtinghagen</name>
</author>
<author>
<name sortKey="Maye, G" uniqKey="Maye G">G Maye</name>
</author>
<author>
<name sortKey="Limbourg, Fp" uniqKey="Limbourg F">FP Limbourg</name>
</author>
<author>
<name sortKey="Weissenborn, K" uniqKey="Weissenborn K">K Weissenborn</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tsukamoto, M" uniqKey="Tsukamoto M">M Tsukamoto</name>
</author>
<author>
<name sortKey="Seta, N" uniqKey="Seta N">N Seta</name>
</author>
<author>
<name sortKey="Yoshimoto, K" uniqKey="Yoshimoto K">K Yoshimoto</name>
</author>
<author>
<name sortKey="Suzuki, K" uniqKey="Suzuki K">K Suzuki</name>
</author>
<author>
<name sortKey="Yamaoka, K" uniqKey="Yamaoka K">K Yamaoka</name>
</author>
<author>
<name sortKey="Takeuchi, T" uniqKey="Takeuchi T">T Takeuchi</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gula, Z" uniqKey="Gula Z">Z Gula</name>
</author>
<author>
<name sortKey="Stec, M" uniqKey="Stec M">M Stec</name>
</author>
<author>
<name sortKey="Rutkowska Zapala, M" uniqKey="Rutkowska Zapala M">M Rutkowska-Zapala</name>
</author>
<author>
<name sortKey="Lenart, M" uniqKey="Lenart M">M Lenart</name>
</author>
<author>
<name sortKey="Korkosz, M" uniqKey="Korkosz M">M Korkosz</name>
</author>
<author>
<name sortKey="Gasowski, J" uniqKey="Gasowski J">J Gasowski</name>
</author>
<author>
<name sortKey="Baran, J" uniqKey="Baran J">J Baran</name>
</author>
<author>
<name sortKey="Baj Krzyworzeka, M" uniqKey="Baj Krzyworzeka M">M Baj-Krzyworzeka</name>
</author>
<author>
<name sortKey="Szatanek, R" uniqKey="Szatanek R">R Szatanek</name>
</author>
<author>
<name sortKey="Czyz, J" uniqKey="Czyz J">J Czyz</name>
</author>
<author>
<name sortKey="Siedlar, M" uniqKey="Siedlar M">M Siedlar</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rana, Ak" uniqKey="Rana A">AK Rana</name>
</author>
<author>
<name sortKey="Li, Y" uniqKey="Li Y">Y Li</name>
</author>
<author>
<name sortKey="Dang, Q" uniqKey="Dang Q">Q Dang</name>
</author>
<author>
<name sortKey="Yang, F" uniqKey="Yang F">F Yang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="San Emeterio, Cl" uniqKey="San Emeterio C">CL San Emeterio</name>
</author>
<author>
<name sortKey="Olingy, Ce" uniqKey="Olingy C">CE Olingy</name>
</author>
<author>
<name sortKey="Chu, Y" uniqKey="Chu Y">Y Chu</name>
</author>
<author>
<name sortKey="Botchwey, Ea" uniqKey="Botchwey E">EA Botchwey</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lacerte, P" uniqKey="Lacerte P">P Lacerte</name>
</author>
<author>
<name sortKey="Brunet, A" uniqKey="Brunet A">A Brunet</name>
</author>
<author>
<name sortKey="Egarnes, B" uniqKey="Egarnes B">B Egarnes</name>
</author>
<author>
<name sortKey="Duchene, B" uniqKey="Duchene B">B Duchene</name>
</author>
<author>
<name sortKey="Brown, Jp" uniqKey="Brown J">JP Brown</name>
</author>
<author>
<name sortKey="Gosselin, J" uniqKey="Gosselin J">J Gosselin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Iwahashi, M" uniqKey="Iwahashi M">M Iwahashi</name>
</author>
<author>
<name sortKey="Yamamura, M" uniqKey="Yamamura M">M Yamamura</name>
</author>
<author>
<name sortKey="Aita, T" uniqKey="Aita T">T Aita</name>
</author>
<author>
<name sortKey="Okamoto, A" uniqKey="Okamoto A">A Okamoto</name>
</author>
<author>
<name sortKey="Ueno, A" uniqKey="Ueno A">A Ueno</name>
</author>
<author>
<name sortKey="Ogawa, N" uniqKey="Ogawa N">N Ogawa</name>
</author>
<author>
<name sortKey="Akashi, S" uniqKey="Akashi S">S Akashi</name>
</author>
<author>
<name sortKey="Miyake, K" uniqKey="Miyake K">K Miyake</name>
</author>
<author>
<name sortKey="Godowski, Pj" uniqKey="Godowski P">PJ Godowski</name>
</author>
<author>
<name sortKey="Makino, H" uniqKey="Makino H">H Makino</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Atehortua, L" uniqKey="Atehortua L">L Atehortua</name>
</author>
<author>
<name sortKey="Rojas, M" uniqKey="Rojas M">M Rojas</name>
</author>
<author>
<name sortKey="Vasquez, Gm" uniqKey="Vasquez G">GM Vasquez</name>
</author>
<author>
<name sortKey="Castano, D" uniqKey="Castano D">D Castano</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ben, Df" uniqKey="Ben D">DF Ben</name>
</author>
<author>
<name sortKey="Yu, Xy" uniqKey="Yu X">XY Yu</name>
</author>
<author>
<name sortKey="Ji, Gy" uniqKey="Ji G">GY Ji</name>
</author>
<author>
<name sortKey="Zheng, Dy" uniqKey="Zheng D">DY Zheng</name>
</author>
<author>
<name sortKey="Lv, Ky" uniqKey="Lv K">KY Lv</name>
</author>
<author>
<name sortKey="Ma, B" uniqKey="Ma B">B Ma</name>
</author>
<author>
<name sortKey="Xia, Zf" uniqKey="Xia Z">ZF Xia</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yasin, Sa" uniqKey="Yasin S">SA Yasin</name>
</author>
<author>
<name sortKey="Schutz, Pw" uniqKey="Schutz P">PW Schutz</name>
</author>
<author>
<name sortKey="Deakin, Ct" uniqKey="Deakin C">CT Deakin</name>
</author>
<author>
<name sortKey="Sag, E" uniqKey="Sag E">E Sag</name>
</author>
<author>
<name sortKey="Varsani, H" uniqKey="Varsani H">H Varsani</name>
</author>
<author>
<name sortKey="Simou, S" uniqKey="Simou S">S Simou</name>
</author>
<author>
<name sortKey="Marshall, Lr" uniqKey="Marshall L">LR Marshall</name>
</author>
<author>
<name sortKey="Tansley, Sl" uniqKey="Tansley S">SL Tansley</name>
</author>
<author>
<name sortKey="Mchugh, Nj" uniqKey="Mchugh N">NJ McHugh</name>
</author>
<author>
<name sortKey="Holton, Jl" uniqKey="Holton J">JL Holton</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Harlow, L" uniqKey="Harlow L">L Harlow</name>
</author>
<author>
<name sortKey="Fernandez, I" uniqKey="Fernandez I">I Fernandez</name>
</author>
<author>
<name sortKey="Soejima, M" uniqKey="Soejima M">M Soejima</name>
</author>
<author>
<name sortKey="Ridgway, Wm" uniqKey="Ridgway W">WM Ridgway</name>
</author>
<author>
<name sortKey="Ascherman, Dp" uniqKey="Ascherman D">DP Ascherman</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wan, Z" uniqKey="Wan Z">Z Wan</name>
</author>
<author>
<name sortKey="Zhang, X" uniqKey="Zhang X">X Zhang</name>
</author>
<author>
<name sortKey="Peng, A" uniqKey="Peng A">A Peng</name>
</author>
<author>
<name sortKey="He, M" uniqKey="He M">M He</name>
</author>
<author>
<name sortKey="Lei, Z" uniqKey="Lei Z">Z Lei</name>
</author>
<author>
<name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zong, M" uniqKey="Zong M">M Zong</name>
</author>
<author>
<name sortKey="Bruton, Jd" uniqKey="Bruton J">JD Bruton</name>
</author>
<author>
<name sortKey="Grundtman, C" uniqKey="Grundtman C">C Grundtman</name>
</author>
<author>
<name sortKey="Yang, H" uniqKey="Yang H">H Yang</name>
</author>
<author>
<name sortKey="Li, Jh" uniqKey="Li J">JH Li</name>
</author>
<author>
<name sortKey="Alexanderson, H" uniqKey="Alexanderson H">H Alexanderson</name>
</author>
<author>
<name sortKey="Palmblad, K" uniqKey="Palmblad K">K Palmblad</name>
</author>
<author>
<name sortKey="Andersson, U" uniqKey="Andersson U">U Andersson</name>
</author>
<author>
<name sortKey="Harris, He" uniqKey="Harris H">HE Harris</name>
</author>
<author>
<name sortKey="Lundberg, Ie" uniqKey="Lundberg I">IE Lundberg</name>
</author>
<author>
<name sortKey="Westerblad, H" uniqKey="Westerblad H">H Westerblad</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Fernandez, I" uniqKey="Fernandez I">I Fernandez</name>
</author>
<author>
<name sortKey="Harlow, L" uniqKey="Harlow L">L Harlow</name>
</author>
<author>
<name sortKey="Zang, Y" uniqKey="Zang Y">Y Zang</name>
</author>
<author>
<name sortKey="Liu Bryan, R" uniqKey="Liu Bryan R">R Liu-Bryan</name>
</author>
<author>
<name sortKey="Ridgway, Wm" uniqKey="Ridgway W">WM Ridgway</name>
</author>
<author>
<name sortKey="Clemens, Pr" uniqKey="Clemens P">PR Clemens</name>
</author>
<author>
<name sortKey="Ascherman, Dp" uniqKey="Ascherman D">DP Ascherman</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Picard, C" uniqKey="Picard C">C Picard</name>
</author>
<author>
<name sortKey="Casanova, Jl" uniqKey="Casanova J">JL Casanova</name>
</author>
<author>
<name sortKey="Puel, A" uniqKey="Puel A">A Puel</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Piao, W" uniqKey="Piao W">W Piao</name>
</author>
<author>
<name sortKey="Vogel, Sn" uniqKey="Vogel S">SN Vogel</name>
</author>
<author>
<name sortKey="Toshchakov, Vy" uniqKey="Toshchakov V">VY Toshchakov</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hu, X" uniqKey="Hu X">X Hu</name>
</author>
<author>
<name sortKey="Tian, Y" uniqKey="Tian Y">Y Tian</name>
</author>
<author>
<name sortKey="Wang, T" uniqKey="Wang T">T Wang</name>
</author>
<author>
<name sortKey="Zhang, W" uniqKey="Zhang W">W Zhang</name>
</author>
<author>
<name sortKey="Wang, W" uniqKey="Wang W">W Wang</name>
</author>
<author>
<name sortKey="Gao, X" uniqKey="Gao X">X Gao</name>
</author>
<author>
<name sortKey="Qu, S" uniqKey="Qu S">S Qu</name>
</author>
<author>
<name sortKey="Cao, Y" uniqKey="Cao Y">Y Cao</name>
</author>
<author>
<name sortKey="Zhang, N" uniqKey="Zhang N">N Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kawamoto, T" uniqKey="Kawamoto T">T Kawamoto</name>
</author>
<author>
<name sortKey="Ii, M" uniqKey="Ii M">M Ii</name>
</author>
<author>
<name sortKey="Kitazaki, T" uniqKey="Kitazaki T">T Kitazaki</name>
</author>
<author>
<name sortKey="Iizawa, Y" uniqKey="Iizawa Y">Y Iizawa</name>
</author>
<author>
<name sortKey="Kimura, H" uniqKey="Kimura H">H Kimura</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ii, M" uniqKey="Ii M">M Ii</name>
</author>
<author>
<name sortKey="Matsunaga, N" uniqKey="Matsunaga N">N Matsunaga</name>
</author>
<author>
<name sortKey="Hazeki, K" uniqKey="Hazeki K">K Hazeki</name>
</author>
<author>
<name sortKey="Nakamura, K" uniqKey="Nakamura K">K Nakamura</name>
</author>
<author>
<name sortKey="Takashima, K" uniqKey="Takashima K">K Takashima</name>
</author>
<author>
<name sortKey="Seya, T" uniqKey="Seya T">T Seya</name>
</author>
<author>
<name sortKey="Hazeki, O" uniqKey="Hazeki O">O Hazeki</name>
</author>
<author>
<name sortKey="Kitazaki, T" uniqKey="Kitazaki T">T Kitazaki</name>
</author>
<author>
<name sortKey="Iizawa, Y" uniqKey="Iizawa Y">Y Iizawa</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rodriguez Cruz, Pm" uniqKey="Rodriguez Cruz P">PM Rodriguez Cruz</name>
</author>
<author>
<name sortKey="Luo, Yb" uniqKey="Luo Y">YB Luo</name>
</author>
<author>
<name sortKey="Miller, J" uniqKey="Miller J">J Miller</name>
</author>
<author>
<name sortKey="Junckerstorff, Rc" uniqKey="Junckerstorff R">RC Junckerstorff</name>
</author>
<author>
<name sortKey="Mastaglia, Fl" uniqKey="Mastaglia F">FL Mastaglia</name>
</author>
<author>
<name sortKey="Fabian, V" uniqKey="Fabian V">V Fabian</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">J Transl Med</journal-id>
<journal-id journal-id-type="iso-abbrev">J Transl Med</journal-id>
<journal-title-group>
<journal-title>Journal of Translational Medicine</journal-title>
</journal-title-group>
<issn pub-type="epub">1479-5876</issn>
<publisher>
<publisher-name>BioMed Central</publisher-name>
<publisher-loc>London</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">32164729</article-id>
<article-id pub-id-type="pmc">7066841</article-id>
<article-id pub-id-type="publisher-id">2290</article-id>
<article-id pub-id-type="doi">10.1186/s12967-020-02290-3</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>TLR expression in peripheral monocyte subsets of patients with idiopathic inflammatory myopathies: association with clinical and immunological features</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-7882-1488</contrib-id>
<name>
<surname>Torres-Ruiz</surname>
<given-names>Jiram</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
<xref ref-type="aff" rid="Aff2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Carrillo-Vazquez</surname>
<given-names>Daniel Alberto</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Padilla-Ortiz</surname>
<given-names>Diana Marcela</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vazquez-Rodriguez</surname>
<given-names>Ricardo</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nuñez-Alvarez</surname>
<given-names>Carlos</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Juarez-Vega</surname>
<given-names>Guillermo</given-names>
</name>
<xref ref-type="aff" rid="Aff4">4</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gomez-Martin</surname>
<given-names>Diana</given-names>
</name>
<address>
<email>d_gomar@hotmail.com</email>
</address>
<xref ref-type="aff" rid="Aff5">5</xref>
</contrib>
<aff id="Aff1">
<label>1</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Department of Immunology and Rheumatology,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</aff>
<aff id="Aff2">
<label>2</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.416850.e</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0698 4037</institution-id>
<institution>Emergency Medicine Department,</institution>
<institution>Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán,</institution>
</institution-wrap>
Mexico City, Mexico</aff>
<aff id="Aff3">
<label>3</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.466717.5</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 0447 449X</institution-id>
<institution>Universidad de La Sabana, Hospital Militar Central,</institution>
</institution-wrap>
Bogotá, DC Colombia</aff>
<aff id="Aff4">
<label>4</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.9486.3</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 2159 0001</institution-id>
<institution>Flow Cytometry Unit, Red de Apoyo a la Investigación, Coordinación de Investigación Científica,</institution>
<institution>Universidad Nacional Autónoma de México,</institution>
</institution-wrap>
Mexico City, Mexico</aff>
<aff id="Aff5">
<label>5</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.419886.a</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 2203 4701</institution-id>
<institution>Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud,</institution>
</institution-wrap>
Ave Morones Prieto 3000, 64710 Monterrey, Nuevo Leon Mexico</aff>
</contrib-group>
<pub-date pub-type="epub">
<day>12</day>
<month>3</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>12</day>
<month>3</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>18</volume>
<elocation-id>125</elocation-id>
<history>
<date date-type="received">
<day>7</day>
<month>1</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>4</day>
<month>3</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2020</copyright-statement>
<license license-type="OpenAccess">
<license-p>
<bold>Open Access</bold>
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
. The Creative Commons Public Domain Dedication waiver (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>
) applies to the data made available in this article, unless otherwise stated in a credit line to the data.</license-p>
</license>
</permissions>
<abstract id="Abs1">
<sec>
<title>Background</title>
<p id="Par1">Monocytes and toll-like receptors (TLR) have been found in the inflammatory infiltrate of muscle biopsies in patients with idiopathic inflammatory myopathies (IIM), suggesting an important role of these cells in the pathogenesis of myositis. The monocyte subsets, their TLR expression in peripheral blood and their relationship with the clinical characteristics of patients with IIM has not been addressed.</p>
</sec>
<sec>
<title>Methods</title>
<p id="Par2">We recruited 45 patients with IIM diagnosis and 15 age and sex-adjusted healthy controls. We assessed the disease activity and damage, performed a nailfold capillaroscopy and registered the cardio-pulmonary parameters from the medical charts. Monocyte subsets, their expression of TLR2 and TLR4 and the serum Th1/Th2/Th17 cytokines levels were evaluated by flow cytometry. We expressed quantitative variables as medians and interquartile ranges (IQR) or minimum and maximum (min–max). Differences between groups were assessed with Mann–Whitney U and the Kruskal–Wallis tests. Correlation between quantitative variables was assessed with Spearman Rho.</p>
</sec>
<sec>
<title>Results</title>
<p id="Par3">Twenty-nine patients were women (64.4%) and 32 (71.1%) had dermatomyositis. In comparison to healthy controls, patients with active IIM had a higher percentage of intermediate monocytes and lower amounts of classical monocytes. Patients with IIM had a higher expression of TLR4 in all their monocyte subsets, regardless of disease activity and prednisone treatment. Serum IL-6 correlated with the TLR2 expression in every monocyte subset and the expression of TLR2 in intermediate monocytes was higher among patients with dysphagia. Subjects with nailfold capillaroscopy abnormalities had a higher amount of TLR2+ classical and non-classical monocytes and those with interstitial lung disease (ILD) had a higher percentage of TLR4+ non-classical monocytes. The classical and intermediate monocytes from patients with anti Mi2 antibodies had a higher expression of TLR4. The percentage of intermediate monocytes and the expression of TLR4 in all monocyte subsets showed a good diagnostic capacity in patients with IIM.</p>
</sec>
<sec>
<title>Conclusion</title>
<p id="Par4">Patients with IIM have a differential pool of monocyte subsets with an enhanced expression of TLR2 and TLR4, which correlates with disease activity and distinctive clinical features including dysphagia, ILD, vasculopathy, and pro-inflammatory cytokines. These immunological features might be useful as a potential diagnostic tool as well as novel disease activity biomarkers in IIM.</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<title>Keywords</title>
<kwd>Dermatomyositis</kwd>
<kwd>Monocytes</kwd>
<kwd>TLR4</kwd>
<kwd>TLR2</kwd>
</kwd-group>
<funding-group>
<award-group>
<funding-source>
<institution>Colegio Mexicano de Reumatología</institution>
</funding-source>
</award-group>
</funding-group>
<funding-group>
<award-group>
<funding-source>
<institution-wrap>
<institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/501100003141</institution-id>
<institution>Consejo Nacional de Ciencia y Tecnología</institution>
</institution-wrap>
</funding-source>
<award-id>Secretaría de Educación Pública-Ciencia Básica 2017-2018 [A1-S23262]</award-id>
<principal-award-recipient>
<name>
<surname>Torres-Ruiz</surname>
<given-names>Jiram</given-names>
</name>
</principal-award-recipient>
</award-group>
</funding-group>
<custom-meta-group>
<custom-meta>
<meta-name>issue-copyright-statement</meta-name>
<meta-value>© The Author(s) 2020</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="Sec1">
<title>Background</title>
<p id="Par34">Idiopathic inflammatory myopathies (IIM) are systemic autoimmune diseases characterized by myositis and extra muscular features [
<xref ref-type="bibr" rid="CR1">1</xref>
]. Lymphocytes and monocytes are acknowledged as fundamental effector cells of the pathogenic autoimmune response in IIM [
<xref ref-type="bibr" rid="CR2">2</xref>
,
<xref ref-type="bibr" rid="CR3">3</xref>
], since mononuclear cells constitute the main component of the inflammatory infiltrate in muscle biopsies [
<xref ref-type="bibr" rid="CR4">4</xref>
]. Monocytes are the circulating precursors of macrophages and dendritic cells and are characterized by their ability to phagocytize, produce cytokines, present antigens [
<xref ref-type="bibr" rid="CR5">5</xref>
<xref ref-type="bibr" rid="CR7">7</xref>
] and their expression of a wide range of toll-like receptors (TLRs), especially TLR2 and TLR4 [
<xref ref-type="bibr" rid="CR8">8</xref>
,
<xref ref-type="bibr" rid="CR9">9</xref>
]. In patients with dermatomyositis (DM), polymyositis (PM), immune mediated necrotizing myopathy (IMNM) and anti-synthetase syndrome (AS) macrophages and dendritic cells are prominent in muscle biopsies [
<xref ref-type="bibr" rid="CR10">10</xref>
], highlighting the relevance of monocytes in the immunopathology of IIM. Also, the relevance of TLRs in the pathogenesis of inflammatory myopathies has been demonstrated in animal models [
<xref ref-type="bibr" rid="CR11">11</xref>
] and muscle biopsies of these patients [
<xref ref-type="bibr" rid="CR12">12</xref>
]. In subjects with DM and PM, an enhanced expression of TLR2, TLR4 and TLR9 in the endomysial and perimysial inflammatory infiltrate [
<xref ref-type="bibr" rid="CR13">13</xref>
] as well as an overexpression of IFN-γ, IL12p40 and myeloid differentiation factor-88 (MyD88) has been shown in muscle biopsies [
<xref ref-type="bibr" rid="CR14">14</xref>
]. Furthermore, the expression of TLR4 correlated with the amount IFN-γ, IL-4, IL-17 and TNF-α in inflammatory cells invading the muscle [
<xref ref-type="bibr" rid="CR13">13</xref>
], underscoring the relevance of TLR2 and TLR4 as pro-inflammatory effectors in the pathogenesis of IIM.</p>
<p id="Par35">In recent years, different monocyte subsets have been acknowledged according to their expression of the LPS receptor (CD14) and the FcγRIII (CD16) and are classified as classical (CD14++/CD16−), intermediate (CD14++/CD16+) and non-classical (CD14+/CD16++) [
<xref ref-type="bibr" rid="CR5">5</xref>
,
<xref ref-type="bibr" rid="CR15">15</xref>
]. These monocyte subsets are known to be genetically and functionally distinctive [
<xref ref-type="bibr" rid="CR16">16</xref>
], and an expansion of intermediate monocytes has been described in autoinflammatory and autoimmune diseases [
<xref ref-type="bibr" rid="CR15">15</xref>
<xref ref-type="bibr" rid="CR18">18</xref>
]. Notwithstanding the importance of monocytes and TLRs in the pathophysiology of IIM, studies describing the monocytes subsets and their expression of TLR4 and TLR2 in peripheral blood as biomarkers of disease activity are lacking. The aim of this study was to correlate the amount of the distinct monocyte subsets and their expression of TLR2 and TLR4 with the clinical features of patients with IIM.</p>
</sec>
<sec id="Sec2">
<title>Methods</title>
<sec id="Sec3">
<title>Clinical evaluation of patients of IIM</title>
<p id="Par36">We recruited 45 Mexican-mestizo adult patients with DM, clinically amyopathic dermatomyositis (CADM), juvenile dermatomyositis (JDM), AS and PM according to the ACR/EULAR, Bohan and Peter, Connor and Sontheimer criteria [
<xref ref-type="bibr" rid="CR19">19</xref>
<xref ref-type="bibr" rid="CR22">22</xref>
] who were followed-up in a tertiary care center (Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran) from 2016 to 2018 and 15 age and sex-adjusted healthy controls. We excluded patients with any kind of acute or chronic infection, pregnancy, puerperium and neoplasia. All healthy controls and patients signed an informed consent before inclusion and the protocol was approved by our institutional ethics committee (Ref. 2152) in compliance with the Helsinki declaration.</p>
<p id="Par37">The following disease activity and damage scales were evaluated by a certified Rheumatologist: manual muscle test 8 (MMT8), patient’s and physician’s global disease activity with a visual analogue scale (VAS), the cutaneous dermatomyositis disease area and severity index (CDASI), the myositis disease activity assessment tool (MYOACT and MITAX), and the myositis damage index (MDI) [
<xref ref-type="bibr" rid="CR23">23</xref>
]. We registered the type and dose of immunosuppressive therapy. Complete clinical response and remission were defined as the absence of muscular and extra-muscular disease activity for at least six months while taking immunosuppressive therapy or without treatment respectively [
<xref ref-type="bibr" rid="CR24">24</xref>
]. Also, we evaluated the presence of dilated, absent or mega capillaries, hemorrhage, thrombosis and neo-vascularization [
<xref ref-type="bibr" rid="CR25">25</xref>
] with a qualitative nailfold capillaroscopy, which was performed with a 500× capillaroscope. The presence of interstitial lung disease (ILD) as well as the pulmonary and echocardiographic parameters were registered from the medical charts. We assessed antinuclear antibodies with indirect immunofluorescence in all patients and the myositis specific and associated antibodies with the commercial membrane strip for the detection of antigens EUROLINE (Euroimmune AG, Luebeck, Germany).</p>
</sec>
<sec id="Sec4">
<title>Multiparametric flow cytometry analysis</title>
<p id="Par38">After peripheral blood mononuclear cells (PBMCs) isolation by density gradients with Lymphoprep (Stemcell Technologies, Vancouver, Canada), cells were re-suspended in RPMI with phenol red (Thermo Fisher scientific), washed in PBS with 5% FBS (fetal bovine serum) and stained with the following fluorescent labeled-antibodies: CD14-PerCP (Biolegend, San Diego, CA, USA, catalog number: 325632), CD16-BV605 (Biolegend, San Diego, CA, USA, catalog number: 302040), TLR4-APC (Biolegend, San Diego, CA, USA, catalog number: 312816) and TLR2-BV421 (BD, Biosciences, Franklin Lakes, NJ, USA, catalog number: 565350). The percentage of every monocyte subset was determined according to the International Union of Immunological Societies [
<xref ref-type="bibr" rid="CR26">26</xref>
]. The absolute numbers of each subset were calculated taking into account the number of total monocytes from a complete blood count taken at the time of the blood draw. Also, we evaluated the percentage TLR4+ and TLR2+ monocytes in every monocyte subset as well as their expression of TLR expressed as the mean fluorescence intensity (MFI) in arbitrary units (AU). The gating strategy is depicted in Fig. 
<xref rid="Fig1" ref-type="fig">1</xref>
. The analysis was performed using the Flow-Jo v10 software. The serum levels of IL-17A, IFN-γ, TNF-α, IL-10, IL-6, IL-4, IL-2 were measured with the cytometric bead array (CBA) human Th1/Th2/Th17 cytokine kit (BD, Biosciences, Franklin Lakes, New Jersey, USA). The data were analyzed with the FCAP array software v3.0 (BD, Biosciences, Franklin Lakes, New Jersey, USA).
<fig id="Fig1">
<label>Fig. 1</label>
<caption>
<p>Gating strategy for the monocyte subsets and TLR expression assessment. Classical monocytes were defined as CD14++, CD16−; intermediate monocytes as CD14++, CD16+ and non-classical monocytes as CD14+, CD16++. The expression of TLRs was assessed by measuring the mean fluorescence intensity (MFI) of TLR2 and TLR4 in every monocyte subset</p>
</caption>
<graphic xlink:href="12967_2020_2290_Fig1_HTML" id="MO1"></graphic>
</fig>
</p>
</sec>
<sec id="Sec5">
<title>Statistical analysis</title>
<p id="Par39">We expressed quantitative variables as medians and interquartile ranges (IQR) or minimum and maximum (min–max). Differences between groups were assessed with Mann–Whitney U and the Kruskal–Wallis tests. Correlation between quantitative variables was assessed with Spearman Rho. The analysis was also performed adjusting by prednisone use. To evaluate the usefulness of monocyte subsets and their TLRs expression for the diagnosis of active inflammatory myopathies and to identify patients in complete clinical response we created receiving operating characteristic (ROC) curves, with sensitivity, specificity, area under the curve and 95% confidence intervals (95% CI). A P value < 0.05 was considered as statistically significant. The statistical analysis was performed with the support of the SPSS v25 software (IBM Corp. Armonk, NY, USA).</p>
</sec>
</sec>
<sec id="Sec6">
<title>Results</title>
<sec id="Sec7">
<title>Clinical characteristics of patients with IIM</title>
<p id="Par40">Twenty-nine patients were women (64.4%). The median (IQR) of age was 46 (37–59) years. Thirty-two patients had DM (71.1%), 3 (6.7%) PM, 4 (8.9%) anti synthetase syndrome and 6 (13.3%) were adults with previous diagnosis of JDM. Regarding immunosuppressive therapy, 29 patients were receiving prednisone (64.4%), 20 (44.4%) methotrexate, 16 (35.6%) azathioprine, 14 (31.1%) hydroxychloroquine, 2 (4.4%) mycophenolate mofetil and 1 (2.2%) cyclophosphamide at the time of blood draw. Immunosuppressants combination was used in 18 patients (40%) and consisted exclusively in the simultaneous use of methotrexate and azathioprine. At the time of evaluation, 30 patients (66.7%) had cutaneous features, 26 (57.8%) had an abnormal nailfold capillaroscopy, 9 (20%) had interstitial lung disease, 7 (15.6%) calcinosis and 5 (11.1%) dysphagia. Nine patients (20%) were in complete clinical response and none of them in remission. The most frequent auto-antibody was anti-Mi2 (22.2%), followed by anti-Ro52 (8.9%). In Table 
<xref rid="Tab1" ref-type="table">1</xref>
, we depict the main disease activity and damage parameters of the patients with IIM.
<table-wrap id="Tab1">
<label>Table 1</label>
<caption>
<p>Clinical, laboratory and cardio-pulmonary features of patients with idiopathic inflammatory myopathies</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Variable</th>
<th align="left">Median (min–max)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="2">Disease activity and damage</td>
</tr>
<tr>
<td align="left"> Manual muscle test 8 (MMT8)</td>
<td char="(" align="char">144 (45–150)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of physician’s disease activity</td>
<td char="(" align="char">5 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of patient’s disease activity</td>
<td char="(" align="char">5 (0–10)</td>
</tr>
<tr>
<td align="left"> Cutaneous dermatomyositis disease area and severity index (CDASI) acute</td>
<td char="(" align="char">4 (0–76)</td>
</tr>
<tr>
<td align="left"> Cutaneous dermatomyositis disease area and severity index (CDASI) chronic</td>
<td char="(" align="char">2 (0–21)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of constitutional disease activity</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of cutaneous disease activity</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of pulmonary disease activity</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of cardiovascular disease activity</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of other disease activity</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of extramuscular disease activity</td>
<td char="(" align="char">3 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of muscular disease activity</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of global disease activity</td>
<td char="(" align="char">5 (0–10)</td>
</tr>
<tr>
<td align="left"> Total myositis disease activity assessment visual analogue scales (MYOACT)</td>
<td char="(" align="char">1.4 (0–7.5)</td>
</tr>
<tr>
<td align="left"> Total myositis intention to treat activity index (MITAX)</td>
<td char="(" align="char">0.85 (0–5.71)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of muscular damage</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of skeletal damage</td>
<td char="(" align="char">0 (0–9)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of cutaneous damage</td>
<td char="(" align="char">1 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of gastrointestinal damage</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of pulmonary damage</td>
<td char="(" align="char">0 (0–8)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of cardiovascular damage</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of vascular damage</td>
<td char="(" align="char">0 (0–5)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of endocrine damage</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of ocular damage</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of infection damage</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of malignancy damage</td>
<td char="(" align="char">0 (0–5)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of other damage</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Visual analogue scale of global damage</td>
<td char="(" align="char">5 (0–10)</td>
</tr>
<tr>
<td align="left"> Damage extension</td>
<td char="(" align="char">0.04 (0–0.52)</td>
</tr>
<tr>
<td align="left"> Damage severity</td>
<td char="(" align="char">0.045 (0–0.5)</td>
</tr>
<tr>
<td align="left"> Extended damage</td>
<td char="(" align="char">0 (0–10)</td>
</tr>
<tr>
<td align="left"> Health assessment questionnaire (HAQ)</td>
<td char="(" align="char">0 (0–3)</td>
</tr>
<tr>
<td align="left" colspan="2">Treatment</td>
</tr>
<tr>
<td align="left"> Prednisone dose (mg/day)</td>
<td char="(" align="char">15 (2–100)</td>
</tr>
<tr>
<td align="left"> Methotrexate dose (mg/week)</td>
<td char="(" align="char">20 (2.5–30)</td>
</tr>
<tr>
<td align="left"> Azathioprine dose (mg/day)</td>
<td char="(" align="char">75 (50–175)</td>
</tr>
<tr>
<td align="left"> Mycophenolate mofetil dose (g/day)</td>
<td char="(" align="char">1.5 (0.5–2.5)</td>
</tr>
<tr>
<td align="left"> Anti-malarial dose (mg/day)</td>
<td char="(" align="char">200 (150–400)</td>
</tr>
<tr>
<td align="left" colspan="2">Laboratory and cardio-pulmonary features</td>
</tr>
<tr>
<td align="left"> Creatine phosphokinase (U/L)</td>
<td char="(" align="char">170 (10–13,325)</td>
</tr>
<tr>
<td align="left"> Aldolase (U/L)</td>
<td char="(" align="char">8.7 (6.2–131)</td>
</tr>
<tr>
<td align="left"> Alanine aminotransferase (U/L)</td>
<td char="(" align="char">31 (5–435)</td>
</tr>
<tr>
<td align="left"> Aspartate aminotransferase (U/L)</td>
<td char="(" align="char">30 (10–1441)</td>
</tr>
<tr>
<td align="left"> Lactate dehydrogenase (U/L)</td>
<td char="(" align="char">226 (45–1243)</td>
</tr>
<tr>
<td align="left"> C-reactive protein (mg/dL)</td>
<td char="(" align="char">0.26 (0.01–13.3)</td>
</tr>
<tr>
<td align="left"> Erythrocyte sedimentation rate (mm/Hr)</td>
<td char="(" align="char">8 (1–56)</td>
</tr>
<tr>
<td align="left"> Percentage of predicted forced vital capacity</td>
<td char="(" align="char">81 (45–108)</td>
</tr>
<tr>
<td align="left"> Pulmonary artery systolic pressure (mmHg)</td>
<td char="(" align="char">32 (20–62)</td>
</tr>
<tr>
<td align="left"> Percentage of left ventricle ejection fraction</td>
<td char="(" align="char">61 (37–76)</td>
</tr>
<tr>
<td align="left"> Tricuspid annular plane systolic excursion (TAPSE)</td>
<td char="(" align="char">20 (11–26)</td>
</tr>
</tbody>
</table>
</table-wrap>
</p>
</sec>
<sec id="Sec8">
<title>Patients with IIM are characterized by a differential profile of circulating monocyte subsets</title>
<p id="Par41">As shown in Fig. 
<xref rid="Fig2" ref-type="fig">2</xref>
, healthy donors had a higher percentage of classical monocytes in comparison to patients with IIM and active disease either using prednisone (90.5% (86.8–92.9%) vs 80.85% (45.78–86.63%), P = 0.004) or without prednisone treatment (90.5% (86.8–92.9%) vs 76.5% (32.9–88.8%), P = 0.035). Likewise, in comparison to healthy donors, IIM patients with active disease and prednisone treatment had a higher percentage of intermediate monocytes (13% (8.45–49.65%) vs 4.49% (3.5–6.71%), P = 0.014) as well as those with active disease without prednisone consumption (17.1% (6.4–54.7%) vs 4.49% (3.5–6.71%), P = 0.018). We did not find a difference in the monocyte subsets nor the TLRs expression in patients receiving azathioprine, methotrexate, cyclophosphamide, mycophenolate mofetil or antimalarials.
<fig id="Fig2">
<label>Fig. 2</label>
<caption>
<p>Differential percentage of monocyte subsets and TLR4 expression in patients with inflammatory myopathies according to disease activity.
<bold>a</bold>
<bold>c</bold>
Patients with IIM and active disease have a lower percentage of classical monocytes (
<bold>a</bold>
) and higher amounts of intermediate monocytes (
<bold>b</bold>
). Non-classical monocytes were not different among the study groups (
<bold>c</bold>
).
<bold>d</bold>
<bold>f</bold>
All monocyte subsets from patients with IIM have a higher expression of TLR4 regardless of disease activity and prednisone treatment</p>
</caption>
<graphic xlink:href="12967_2020_2290_Fig2_HTML" id="MO2"></graphic>
</fig>
</p>
<p id="Par42">The absolute number of classical monocytes inversely correlated with the total myositis disease activity assessment visual analogue scales (MYOACT) (Rho = − 0.429, P = 0.006) and the myositis intention to treat activity index MITAX (Rho = − 0.355, P = 0.027). The percentage of intermediate monocytes was correlated with the VAS of patient’s disease activity (Rho = 0.3, P = 0.05).</p>
</sec>
<sec id="Sec9">
<title>Differential expression of TLR in monocyte subsets among patients with IIM and its relationship with clinical features and circulating cytokines</title>
<p id="Par43">Classical monocytes from patients with active IIM and prednisone use had a higher expression of TLR4 in comparison to healthy donors (1780 AU (1448–2409 AU) vs 502 AU (412–832 AU), P = 0.001). The same results were obtained when we compared the expression of TLR4 in classical monocytes from patients with IIM in complete clinical response without prednisone treatment and healthy donors (1758 AU (1430–2348 AU) vs 502 AU (412–832 AU), P = 0.007). Expression of TLR4 in intermediate monocytes was higher in patients with active disease and prednisone use in comparison to healthy donors (2464 AU (1701–3105 AU) vs 569 AU (483–837 AU), P < 0.0001) as well as in those with active disease without prednisone treatment (2039 AU (1273–2725 AU) vs 569 AU (483–837 AU), P = 0.049) and in patients with complete clinical response without prednisone treatment (2250 AU (1823–2647 AU) vs 569 AU (483–837 AU), P = 0.009). The expression of TLR4 in non-classical monocytes was higher in patients with active disease and prednisone use in comparison to healthy donors (1598 AU (954–2243 AU) vs 281 AU (237–353 AU), P < 0.0001); as well as in those with active disease without prednisone treatment (1293 AU (1006–1896 AU) vs 281 AU (237–353 AU), P = 0.007) and those with complete clinical response without prednisone use (1243 AU (1118–1580 AU) vs 281 AU (237–353 AU), P = 0.023). Subjects with ILD had a higher percentage of TLR4+ non-classical monocytes (98.25% (97.45–98.93%) vs 95.9% (93.43–98.15%), P = 0.031).</p>
<p id="Par44">Interestingly, the expression of TLR4 was higher in classical (1778 AU (1419–2713 AU), P = 0.03) and intermediate (1315 AU (910.8–1506 AU), P = 0.054) monocytes among patients with anti-Mi2 antibodies (Fig. 
<xref rid="Fig3" ref-type="fig">3</xref>
). There was a trend towards a significant positive correlation between the percentage of TLR4+ non-classical monocytes and c-reactive protein levels (Rho = 0.457, P = 0.075) and the VAS of pulmonary disease activity (0.52, P = 0.006). The absolute number of TLR4+ non-classical monocytes was correlated with lactate dehydrogenase (LDH) (Rho = 0.7, P = 0.002).
<fig id="Fig3">
<label>Fig. 3</label>
<caption>
<p>Differential pool of monocyte subsets and TLR expression according to the clinical features.
<bold>a</bold>
Patients with IIM and dysphagia have a higher expression of TLR2 in intermediate monocytes.
<bold>b</bold>
Subjects with interstitial lung disease have a higher percentage of TLR4+ non-classical monocytes.
<bold>c</bold>
,
<bold>d</bold>
Patients with abnormal nailfold capillaroscopy have a higher percentage of TLR2+ classical monocytes (
<bold>d</bold>
) and those with mega capillaries a higher percentage of TLR2+ non-classical monocytes.
<bold>e</bold>
,
<bold>f</bold>
The expression of TLR4 was higher in classical (
<bold>e</bold>
) and intermediate (
<bold>f</bold>
) monocytes of patients with anti-Mi2 antibodies</p>
</caption>
<graphic xlink:href="12967_2020_2290_Fig3_HTML" id="MO3"></graphic>
</fig>
</p>
<p id="Par45">Patients with dysphagia had a higher expression of TLR2 in intermediate monocytes (13605 AU (11761–16570 AU) vs 10964 (8543 vs 12487 AU), P = 0.025). The percentage of TLR2+ classical monocytes was correlated with the VAS of gastrointestinal disease activity (Rho = 0.377, P = 0.033. Likewise, patients with abnormal nailfold capillaroscopy had a higher percentage of TLR2+ classical monocytes (98.6% (97–99.4%) vs 97% (94.6–98.5%), P = 0.047) and those with mega-capillaries had a trend towards a higher percentage of TLR2+ non-classical monocytes (98.5% (94.2–98.9%) vs 95.8% (94.1–97.3%), P = 0.06) (Fig. 
<xref rid="Fig3" ref-type="fig">3</xref>
). Furthermore, we found that the serum concentration of IL-6 correlated with the absolute number of intermediate monocytes (Rho = 0.395, P = 0.034) and with the expression of TLR2 in all monocyte subsets (Fig. 
<xref rid="Fig4" ref-type="fig">4</xref>
). The monocyte subsets and their TLR expression did not correlated with any other serum cytokine. We did not find differences in the monocyte subsets nor the expression of TLRs with respect to the patients’ gender.
<fig id="Fig4">
<label>Fig. 4</label>
<caption>
<p>Correlation between TLR expression and IL-6.
<bold>a</bold>
<bold>c</bold>
The serum levels of IL-6 correlated with the expression of TLR2 in every monocyte subset</p>
</caption>
<graphic xlink:href="12967_2020_2290_Fig4_HTML" id="MO4"></graphic>
</fig>
</p>
</sec>
<sec id="Sec10">
<title>TLR4 expression in all monocyte subsets and the percentage of intermediate monocytes are associated with the diagnosis of inflammatory myopathies</title>
<p id="Par46">To test the diagnostic capacity of the monocyte subsets and their TLRs expression, we created ROC curves for each parameter. As shown in Table 
<xref rid="Tab2" ref-type="table">2</xref>
and Fig. 
<xref rid="Fig5" ref-type="fig">5</xref>
, the expression of TLR4 in all monocyte subsets and the percentage of intermediate monocytes are related to the diagnosis of inflammatory myopathies with a high area under the curve, specificity and positive likelihood ratio (LR (+)). Also, a cutoff value of < 4.20% for non-classical monocytes was associated with the diagnosis of complete clinical response with a LR (+) of 4.62, sensitivity (95% CI) of 51.43 (35.57–67.01), specificity (95% CI) of 88.89 (56.50–99.43), and area under the curve (95% CI) of 0.70 (0.55–0.86), P = 0.05.
<table-wrap id="Tab2">
<label>Table 2</label>
<caption>
<p>Association between monocyte subsets and TLRS expression and the diagnosis of idiopathic inflammatory myopathies</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Variable</th>
<th align="left">Cutoff value</th>
<th align="left">Area under the curve (95% CI)</th>
<th align="left">Sensitivity (95% CI)</th>
<th align="left">Specificity (95% CI)</th>
<th align="left">Likelihood ratio (+)</th>
<th align="left">P</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Mean fluorescence intensity of TLR4 in non-classical monocytes (arbitrary units)</td>
<td align="left">> 733.5</td>
<td char="(" align="char">0.94 (0.88–1)</td>
<td char="(" align="char">88.37 (75.52–94.93)</td>
<td char="(" align="char">93.33 (70.18–99.66)</td>
<td char="." align="char">13.26</td>
<td char="." align="char">< 0.0001</td>
</tr>
<tr>
<td align="left">Mean fluorescence intensity of TLR4 in intermediate monocytes (arbitrary units)</td>
<td align="left">> 2023</td>
<td char="(" align="char">0.90 (0.80–1)</td>
<td char="(" align="char">54.76 (39.93–68.78)</td>
<td char="(" align="char">93.33 (70.18–99.66)</td>
<td char="." align="char">8.21</td>
<td char="." align="char">< 0.0001</td>
</tr>
<tr>
<td align="left">Mean fluorescence intensity of TLR4 in classical monocytes (arbitrary units)</td>
<td align="left">> 967</td>
<td char="(" align="char">0.88 (0.75–1)</td>
<td char="(" align="char">90.48 (77.93–96.23)</td>
<td char="(" align="char">86.67 (62.12–97.63)</td>
<td char="." align="char">6.78</td>
<td char="." align="char">< 0.0001</td>
</tr>
<tr>
<td align="left">% of intermediate monocytes</td>
<td align="left">> 20.6</td>
<td char="(" align="char">0.83 (0.71–0.95)</td>
<td char="(" align="char">36.36 (23.78–51.13)</td>
<td char="(" align="char">93.3 (70.18–99.66)</td>
<td char="." align="char">5.45</td>
<td char="." align="char">0.0001</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="Fig5">
<label>Fig. 5</label>
<caption>
<p>ROC curves for the % of intermediate monocytes and the expression of TLR4 in all monocyte subsets as diagnostic biomarkers in patients with IIM</p>
</caption>
<graphic xlink:href="12967_2020_2290_Fig5_HTML" id="MO5"></graphic>
</fig>
</p>
</sec>
</sec>
<sec id="Sec11">
<title>Discussion</title>
<p id="Par47">The main findings of this study are that patients with IIM have an expansion of circulating intermediate monocytes and that their monocytes subsets have a differential expression of TLR4 and TLR2, which correlate with serum IL-6, as well as with distinctive clinical features. Previously, it was shown that anti-TNF therapy is able to reduce the expression of TLRs in monocytes from patients with rheumatoid arthritis (RA) and spondylarthopathy [
<xref ref-type="bibr" rid="CR27">27</xref>
,
<xref ref-type="bibr" rid="CR28">28</xref>
]. Nevertheless, most studies have demonstrated that immunosuppressive therapy does not have an effect in the proportion of monocyte subsets, as shown in patients with RA under methotrexate treatment [
<xref ref-type="bibr" rid="CR29">29</xref>
] and in patients with solid organ transplantation [
<xref ref-type="bibr" rid="CR30">30</xref>
]. This is in agreement to our results since we did not find a difference in the monocyte subsets nor the TLRs expression according to the immunosuppressive therapy. Nevertheless, prednisone treatment is known to augment the proportion of intermediate monocytes and to diminish the percentage of non-classical monocytes [
<xref ref-type="bibr" rid="CR30">30</xref>
], therefore, we decided to adjust our analysis for prednisone intake, confirming that our results are not a consequence of prednisone treatment.</p>
<p id="Par48">Furthermore, the differential pool of monocyte subsets was maintained in patients with IIM in complete clinical response. Previous studies have shown an increased gene expression of the TLR4 and IFN-γ signaling pathway in patients with inflammatory myopathies [
<xref ref-type="bibr" rid="CR31">31</xref>
]. Also,
<italic>nuclear factor kappa B (NF</italic>
-
<italic>κB), tumor necrosis factor a (TNF</italic>
-
<italic>a), interleukin 1 a (IL</italic>
-
<italic>1a), interleukin 22 (IL</italic>
-
<italic>22), toll</italic>
-
<italic>like receptor 2 (TLR</italic>
-
<italic>2), toll</italic>
-
<italic>like receptor 4 (TLR</italic>
-
<italic>4), toll</italic>
-
<italic>like receptor 9 (TLR</italic>
-
<italic>9), interferon alpha (IFNA), interferon gamma (IFNG),</italic>
and
<italic>retinoic acid inducible gene 1 (RIG</italic>
-
<italic>1)</italic>
are genetic risk factors involved in the pathogenesis of IIM [
<xref ref-type="bibr" rid="CR32">32</xref>
]. The constitutional overexpression of pro-inflammatory and TLR-related pathways may explain the differential pool of monocyte subsets and TLRs expression in patients with IIM in complete clinical response. Similar findings have been described in patients with familial Mediterranean fever, in whom increased expression of TLR2 in monocytes has been demonstrated, even during quiescent disease [
<xref ref-type="bibr" rid="CR33">33</xref>
].</p>
<p id="Par49">Similar to our results, lower amounts of CD14++ monocytes have been described in patients with multiple sclerosis (MS) [
<xref ref-type="bibr" rid="CR34">34</xref>
] and juvenile idiopathic arthritis (JIA) with enthesitis [
<xref ref-type="bibr" rid="CR35">35</xref>
]. Besides, a higher percentage of CD16+ intermediate and non-classical monocytes with a pro-inflammatory phenotype has been described in patients with MS [
<xref ref-type="bibr" rid="CR34">34</xref>
], neuromyelitis optica [
<xref ref-type="bibr" rid="CR36">36</xref>
], RA [
<xref ref-type="bibr" rid="CR18">18</xref>
], SLE [
<xref ref-type="bibr" rid="CR37">37</xref>
], ANCA-vasculitis [
<xref ref-type="bibr" rid="CR38">38</xref>
], sarcoidosis [
<xref ref-type="bibr" rid="CR39">39</xref>
], IgA nephropathy [
<xref ref-type="bibr" rid="CR40">40</xref>
], JIA with enthesitis [
<xref ref-type="bibr" rid="CR35">35</xref>
], type 1 diabetes mellitus [
<xref ref-type="bibr" rid="CR41">41</xref>
], thromboembolism [
<xref ref-type="bibr" rid="CR42">42</xref>
], atherosclerosis and stroke [
<xref ref-type="bibr" rid="CR43">43</xref>
] which is according to our results. Also, we found that the absolute number of classical monocytes inversely correlated with the disease activity (MYOACT and MITAX), which is according with previous data in patients with RA, where there is a higher percentage of intermediate monocytes during disease activity and a higher proportion of classical monocytes during remission [
<xref ref-type="bibr" rid="CR44">44</xref>
]. Our data confirm that a differential proportion of monocytes is found in subjects with autoimmune pathologies, according to disease activity.</p>
<p id="Par50">Intermediate and non-classical monocytes have been described as proinflammatory [
<xref ref-type="bibr" rid="CR45">45</xref>
]. Intermediate monocytes possess phagocytic and pro-inflammatory features, since they secrete IL-1β and TNF-α [
<xref ref-type="bibr" rid="CR37">37</xref>
], IL-6 [
<xref ref-type="bibr" rid="CR46">46</xref>
] and express higher amounts of TLR 2, 4 and 5 than any other subset. Additionally they express CD80, CD86, HLA-DR and are able to differentiate to M1 macrophages, promote a Th17 response [
<xref ref-type="bibr" rid="CR37">37</xref>
] and to induce T-cells proliferation due to their higher expression of CD40 [
<xref ref-type="bibr" rid="CR35">35</xref>
]. In contrast, in animal models of muscle injury, non-classical monocytes are recruited in the muscle after tissue damage to promote its repair [
<xref ref-type="bibr" rid="CR47">47</xref>
]. Therefore, an expansion of intermediate monocytes may contribute to the pro-inflammatory environment in peripheral blood of patients with IIM, whilst the higher proportion of non-classical monocytes in these patients could be a reflection of muscle damage, since non-classical monocytes are known to respond to CX
<sub>3</sub>
CL1, which promotes their migration, survival and recruitment in tissues [
<xref ref-type="bibr" rid="CR16">16</xref>
].</p>
<p id="Par51">Regarding TLR expression, a higher expression of TLR2 in monocytes has been described in patients with RA [
<xref ref-type="bibr" rid="CR48">48</xref>
], especially in CD16+ monocytes [
<xref ref-type="bibr" rid="CR49">49</xref>
] which is according to our results. In IIM patients with nailfold capillaroscopy abnormalities, we found a higher amount of classical and non-classical monocytes expressing TLR2. These data are according to the role of monocytes in endothelial damage in other autoimmune diseases [
<xref ref-type="bibr" rid="CR50">50</xref>
]. In the steady state, monocytes patrol the endothelium, but in patients with RA and SLE, it was shown that activated monocytes contribute to vascular damage [
<xref ref-type="bibr" rid="CR50">50</xref>
], which could explain the association between this monocyte subset and an abnormal nailfold capillaroscopy in subjects with IIM.</p>
<p id="Par52">Regarding the relationship between the distinctive monocyte subsets and their TLR expression with the clinical features of patients with IIM, we found a higher percentage of non-classical monocytes in patients with dysphagia and a higher proportion of TLR4+ non-classical monocytes in subjects with ILD. The higher proportion of non-classical monocytes in patients with dysphagia may reflect a more intense and persistent tissue damage, since it is known that this monocyte subset is recruited after muscle injury [
<xref ref-type="bibr" rid="CR47">47</xref>
]. According to our results, previous studies have shown that the deficiency of TLR4 decreases pulmonary inflammation and fibrosis in the bleomycin-induced lung injury [
<xref ref-type="bibr" rid="CR51">51</xref>
] supporting the relationship between TLR4 and interstitial lung disease found in our study. We found that the expression of TLR2 in all monocyte subsets correlated with serum IL-6. It is known that CD16 + monocytes expressing TLR2 secrete TNF-α, IL-1, IL-6, IL-8, IL-12p40, IL-1Ra and IL-10 after stimuli with lipotheicoic acid [
<xref ref-type="bibr" rid="CR49">49</xref>
] confirming the pro-inflammatory profile of these cells in response to pathogen associated molecular patterns (PAMPs).</p>
<p id="Par53">Regarding the specific and associated myositis antibodies, the monocytes from patients with anti Mi2 antibodies had a higher expression of TLR4+. The importance of TLR4 in DM is highlighted by the presence of TLR4+ cells in the perimysium of these patients [
<xref ref-type="bibr" rid="CR13">13</xref>
]. Also, patients with anti-Mi2 antibodies are characterized by intense myositis and an abundant inflammatory infiltrate in muscle biopsy [
<xref ref-type="bibr" rid="CR52">52</xref>
]. In this regard, TLR4 is a key mediator of the pathogenic autoimmune and inflammatory response in IIM. In the animal model of myositis induced by intramuscular immunization with histdyl-tRNA synthetase, the TLR4 deficiency suppress the isotype change of the pathogenic autoimmune humoral response in a reaction dependent on Toll/IL-1 receptor (TIR) domain-containing adaptor protein inducing IFN-β (TRIF) [
<xref ref-type="bibr" rid="CR53">53</xref>
]. Likewise, in the murine model of myositis induced by immunization with myosin binding protein (C-MBP) and the antibody fusion protein (MYBPC2-MBP), an over-expression of TLR4 and its ligand, the high mobility group box 1 (HMGB1), has been found in muscle biopsies, and it correlated with the expression of major histocompatibility complex I (MHC-I), a key histopathologic finding of inflammatory myopathies [
<xref ref-type="bibr" rid="CR54">54</xref>
]. Also, it is known that muscle cells express TLR4 and that their stimulation with HMGB-1 in vitro promotes muscle dysfunction and MHC-I expression [
<xref ref-type="bibr" rid="CR55">55</xref>
].</p>
<p id="Par54">The murine models of myositis have demonstrated the importance of TLR2 and TLR4 in the induction of disease in IIM, since the deficiency of both TLRs [
<xref ref-type="bibr" rid="CR56">56</xref>
] or their signaling protein MyD88 completely abolish the disease phenotype [
<xref ref-type="bibr" rid="CR56">56</xref>
]. Although these encouraging results suggest a potential therapeutic role of the TLRs inhibition in IIM, it is well known that the TLR2, TLR4 and MyD88 deficiency implies a severe immunodeficiency [
<xref ref-type="bibr" rid="CR57">57</xref>
]. In this regard, different peptides have been created to inhibit the TLR4 signaling pathway in animal models of sepsis and mastitis [
<xref ref-type="bibr" rid="CR58">58</xref>
,
<xref ref-type="bibr" rid="CR59">59</xref>
] with good results. Inhibition of TLR4 is a therapeutic candidate in autoimmune diseases including IIM. TLR4 has many ligands including heat shock proteins (HSP60, HSP70, gp96, HSP22), HMGB-1, beta-defensin and saturated free fatty acids [
<xref ref-type="bibr" rid="CR60">60</xref>
]. Therefore, the inhibition of TLR4 could diminish the inflammatory response secondary to muscle damage in IIM. Nevertheless, inhibition of the TLR4 signaling adaptor molecules such as MyD88, Toll/IL-1 receptor (TIR) domain-containing adaptor protein (TIRAP), TRIF, TIR domain-containing adaptor molecule (TICAM-1) and TRIF-related adaptor molecule (TRAM)/TICAM-2 would result in immunodeficiency since these adaptors are shared by other TLRs [
<xref ref-type="bibr" rid="CR60">60</xref>
]. TAK-242 is a TLR4 inhibitor able to suppress the constitutional activation of NF-kB secondary to overexpression of TLR4 [
<xref ref-type="bibr" rid="CR60">60</xref>
]. Furthermore, TAK-242 diminish the production of IL-1β, TNF-α and IL-6 and modulates the LPS-mediated secretion of these cytokines in human mononuclear cells without interfering with other TLRs [
<xref ref-type="bibr" rid="CR61">61</xref>
] or the TLR4 adaptor molecules [
<xref ref-type="bibr" rid="CR60">60</xref>
]. This relatively specific mechanism of action may overcome the infection predisposition as a limitation for the use of TLR4 inhibitors as a therapeutic target in IIM.</p>
<p id="Par55">Finally, our data suggest that the differential pool of monocyte subsets and their TLRs expression in peripheral blood, may be useful for the diagnosis of IIM and to detect patients in complete clinical response. Previous studies have demonstrated the usefulness of the expression of MHC of class I and II in muscle fibers to differentiate inflammatory myopathies from non-inflammatory myopathies and neurogenic conditions [
<xref ref-type="bibr" rid="CR62">62</xref>
]. We found that the expression of TLR4 in all monocyte subsets and the percentage of intermediate monocytes predict the diagnosis of inflammatory myopathies with a high area under the curve and specificity. It would be interesting to explore if these parameters are useful to differentiate inflammatory myopathies from non-inflammatory myopathies or neuropathies. Furthermore, we found a predictive capacity of the percentage of non-classical monocytes for the diagnosis of complete clinical response in patients with IIM. This is a crucial point to avoid excessive treatment in patients in whom persistent muscle weakness is secondary to muscle atrophy instead of disease activity.</p>
<p id="Par56">Our study has many limitations. First, it is a transversal study with a relatively small sample of Mexican-mestizo patients which may preclude us to find differences regarding the association between disease activity status, the monocyte subsets and the circulating cytokines prospectively. Also, the findings might be limited to the ethnicity of our patients. Nevertheless, it is the first study to address the monocyte subsets in peripheral blood and their relationship with the clinical characteristics and circulating cytokines of patients with IIM.</p>
</sec>
<sec id="Sec12">
<title>Conclusion</title>
<p id="Par57">All monocyte subsets of patients with IIM have a higher expression of TLR4. The expression of TLR2 in monocytes is related to circulating IL-6 and the presence of dysphagia and ILD is related to a differential expression of TLR2 and TLR4 in CD16+ monocytes. The differential pool of monocyte subsets and their expression of TLR4 are associated with the diagnosis of IIM and the complete clinical response. Further prospective studies are needed to unveil if the circulating monocyte pool is changed after achieving complete clinical response and to unveil the inhibition of TLR4 as a potential therapeutic target in IIM.</p>
</sec>
</body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>ACR</term>
<def>
<p id="Par5">American College of Rheumatology</p>
</def>
</def-item>
<def-item>
<term>ANCA</term>
<def>
<p id="Par6">Anti-neutrophil cytoplasmic antibodies</p>
</def>
</def-item>
<def-item>
<term>AS</term>
<def>
<p id="Par7">Anti-synthetase syndrome</p>
</def>
</def-item>
<def-item>
<term>CADM</term>
<def>
<p id="Par8">Clinically amyopathic dermatomyositis</p>
</def>
</def-item>
<def-item>
<term>CBA</term>
<def>
<p id="Par9">Cytometric bead array</p>
</def>
</def-item>
<def-item>
<term>CDASI</term>
<def>
<p id="Par10">Dermatomyositis disease area and severity index</p>
</def>
</def-item>
<def-item>
<term>DM</term>
<def>
<p id="Par11">Dermatomyositis</p>
</def>
</def-item>
<def-item>
<term>EULAR</term>
<def>
<p id="Par12">European League Against Rheumatism</p>
</def>
</def-item>
<def-item>
<term>HRS</term>
<def>
<p id="Par13">Histidyl tRNA synthetase</p>
</def>
</def-item>
<def-item>
<term>IFN</term>
<def>
<p id="Par14">Interferon</p>
</def>
</def-item>
<def-item>
<term>IIM</term>
<def>
<p id="Par15">Idiopathic inflammatory myopathies</p>
</def>
</def-item>
<def-item>
<term>ILD</term>
<def>
<p id="Par16">Interstitial lung disease</p>
</def>
</def-item>
<def-item>
<term>IMNM</term>
<def>
<p id="Par17">Immune-mediated necrotizing myopathy</p>
</def>
</def-item>
<def-item>
<term>IQR</term>
<def>
<p id="Par18">Interquartile range</p>
</def>
</def-item>
<def-item>
<term>JDM</term>
<def>
<p id="Par19">Juvenile dermatomyositis</p>
</def>
</def-item>
<def-item>
<term>JIA</term>
<def>
<p id="Par20">Juvenile idiopathic arthritis</p>
</def>
</def-item>
<def-item>
<term>LDH</term>
<def>
<p id="Par21">Lactate dehydrogenase</p>
</def>
</def-item>
<def-item>
<term>MDI</term>
<def>
<p id="Par22">Myositis damage index</p>
</def>
</def-item>
<def-item>
<term>MFI</term>
<def>
<p id="Par23">Mean fluorescence intensity</p>
</def>
</def-item>
<def-item>
<term>MITAX</term>
<def>
<p id="Par24">Myositis intention to treat activity index</p>
</def>
</def-item>
<def-item>
<term>MMT8</term>
<def>
<p id="Par25">Manual muscle test 8</p>
</def>
</def-item>
<def-item>
<term>MYOACT</term>
<def>
<p id="Par26">Myositis Disease Activity Assessment Tool</p>
</def>
</def-item>
<def-item>
<term>PBMC</term>
<def>
<p id="Par27">Peripheral blood mononuclear cell</p>
</def>
</def-item>
<def-item>
<term>PM</term>
<def>
<p id="Par28">Polymyositis</p>
</def>
</def-item>
<def-item>
<term>RA</term>
<def>
<p id="Par29">Rheumatoid arthritis</p>
</def>
</def-item>
<def-item>
<term>SLE</term>
<def>
<p id="Par30">Systemic lupus erythematosus</p>
</def>
</def-item>
<def-item>
<term>TLR</term>
<def>
<p id="Par31">Toll-like receptors</p>
</def>
</def-item>
<def-item>
<term>TNF</term>
<def>
<p id="Par32">Tumor necrosis factor</p>
</def>
</def-item>
<def-item>
<term>VAS</term>
<def>
<p id="Par33">Visual analogue scale</p>
</def>
</def-item>
</def-list>
</glossary>
<fn-group>
<fn>
<p>
<bold>Publisher's Note</bold>
</p>
<p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
</fn>
</fn-group>
<ack>
<title>Acknowledgements</title>
<p>We would like to acknowledge the technical support provided by the Red de Apoyo a la Investigación, (RAI-CIC UNAM).</p>
</ack>
<notes notes-type="author-contribution">
<title>Authors’ contributions</title>
<p>DG participated in the conceptualization, acquisition, design, investigation process, project administration, supervision, data curation, formal analysis, validation, and visualization of the work. JT participated in the investigation process, data curation, formal analysis, validation and visualization of the work, and writing the original draft. DC, DP, RV, CN, GJ participated in the investigation process and data curation. All authors read and approved the final manuscript.</p>
</notes>
<notes notes-type="funding-information">
<title>Funding</title>
<p>This work was supported by Consejo Nacional de Ciencia y Tecnología (CONACYT) and Secretaría de Educación Pública-Ciencia Básica 2017–2018 [A1-S23262] and by a research grant from the Fondo de Investigación del Colegio Mexicano de Reumatología 2018.</p>
</notes>
<notes notes-type="data-availability">
<title>Availability of data and materials</title>
<p>All data generated or analysed during this study are included in this published article.</p>
</notes>
<notes>
<title>Ethics approval and consent to participate</title>
<p id="Par58">All healthy controls and patients signed an informed consent before inclusion and the protocol was approved by our institutional ethics committee (Ref. 2152) in compliance with the Helsinki declaration.</p>
</notes>
<notes>
<title>Consent for publication</title>
<p id="Par59">The images and data contained in this manuscript are not related to a single individual and are entirely unidentifiable.</p>
</notes>
<notes notes-type="COI-statement">
<title>Competing interests</title>
<p id="Par60">The authors declare that they do not have any conflict of interest.</p>
</notes>
<ref-list id="Bib1">
<title>References</title>
<ref id="CR1">
<label>1.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Milone</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Diagnosis and management of immune-mediated myopathies</article-title>
<source>Mayo Clin Proc</source>
<year>2017</year>
<volume>92</volume>
<fpage>826</fpage>
<lpage>837</lpage>
<pub-id pub-id-type="doi">10.1016/j.mayocp.2016.12.025</pub-id>
<pub-id pub-id-type="pmid">28473041</pub-id>
</element-citation>
</ref>
<ref id="CR2">
<label>2.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tieu</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Lundberg</surname>
<given-names>IE</given-names>
</name>
<name>
<surname>Limaye</surname>
<given-names>V</given-names>
</name>
</person-group>
<article-title>Idiopathic inflammatory myositis</article-title>
<source>Best Pract Res Clin Rheumatol</source>
<year>2016</year>
<volume>30</volume>
<fpage>149</fpage>
<lpage>168</lpage>
<pub-id pub-id-type="doi">10.1016/j.berh.2016.04.007</pub-id>
<pub-id pub-id-type="pmid">27421222</pub-id>
</element-citation>
</ref>
<ref id="CR3">
<label>3.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Malik</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Hayat</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Kalia</surname>
<given-names>JS</given-names>
</name>
<name>
<surname>Guzman</surname>
<given-names>MA</given-names>
</name>
</person-group>
<article-title>Idiopathic inflammatory myopathies: clinical approach and management</article-title>
<source>Front Neurol</source>
<year>2016</year>
<volume>7</volume>
<fpage>64</fpage>
<pub-id pub-id-type="doi">10.3389/fneur.2016.00064</pub-id>
<pub-id pub-id-type="pmid">27242652</pub-id>
</element-citation>
</ref>
<ref id="CR4">
<label>4.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lundberg</surname>
<given-names>IE</given-names>
</name>
<name>
<surname>Tjarnlund</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Bottai</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Werth</surname>
<given-names>VP</given-names>
</name>
<name>
<surname>Pilkington</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Visser</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Alfredsson</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Amato</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Barohn</surname>
<given-names>RJ</given-names>
</name>
<name>
<surname>Liang</surname>
<given-names>MH</given-names>
</name>
<etal></etal>
</person-group>
<article-title>2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups</article-title>
<source>Ann Rheum Dis</source>
<year>2017</year>
<volume>76</volume>
<fpage>1955</fpage>
<lpage>1964</lpage>
<pub-id pub-id-type="doi">10.1136/annrheumdis-2017-211468</pub-id>
<pub-id pub-id-type="pmid">29079590</pub-id>
</element-citation>
</ref>
<ref id="CR5">
<label>5.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ziegler-Heitbrock</surname>
<given-names>L</given-names>
</name>
</person-group>
<article-title>Blood monocytes and their subsets: established features and open questions</article-title>
<source>Front Immunol</source>
<year>2015</year>
<volume>6</volume>
<fpage>423</fpage>
<pub-id pub-id-type="doi">10.3389/fimmu.2015.00423</pub-id>
<pub-id pub-id-type="pmid">26347746</pub-id>
</element-citation>
</ref>
<ref id="CR6">
<label>6.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nicholson</surname>
<given-names>LB</given-names>
</name>
<name>
<surname>Raveney</surname>
<given-names>BJ</given-names>
</name>
<name>
<surname>Munder</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Monocyte dependent regulation of autoimmune inflammation</article-title>
<source>Curr Mol Med</source>
<year>2009</year>
<volume>9</volume>
<fpage>23</fpage>
<lpage>29</lpage>
<pub-id pub-id-type="doi">10.2174/156652409787314499</pub-id>
<pub-id pub-id-type="pmid">19199939</pub-id>
</element-citation>
</ref>
<ref id="CR7">
<label>7.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gordon</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Taylor</surname>
<given-names>PR</given-names>
</name>
</person-group>
<article-title>Monocyte and macrophage heterogeneity</article-title>
<source>Nat Rev Immunol</source>
<year>2005</year>
<volume>5</volume>
<fpage>953</fpage>
<lpage>964</lpage>
<pub-id pub-id-type="doi">10.1038/nri1733</pub-id>
<pub-id pub-id-type="pmid">16322748</pub-id>
</element-citation>
</ref>
<ref id="CR8">
<label>8.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jimenez-Dalmaroni</surname>
<given-names>MJ</given-names>
</name>
<name>
<surname>Gerswhin</surname>
<given-names>ME</given-names>
</name>
<name>
<surname>Adamopoulos</surname>
<given-names>IE</given-names>
</name>
</person-group>
<article-title>The critical role of toll-like receptors—from microbial recognition to autoimmunity: a comprehensive review</article-title>
<source>Autoimmun Rev</source>
<year>2016</year>
<volume>15</volume>
<fpage>1</fpage>
<lpage>8</lpage>
<pub-id pub-id-type="doi">10.1016/j.autrev.2015.08.009</pub-id>
<pub-id pub-id-type="pmid">26299984</pub-id>
</element-citation>
</ref>
<ref id="CR9">
<label>9.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jiang</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Gilkeson</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>Sex differences in monocytes and TLR4 associated immune responses; implications for systemic lupus erythematosus (SLE)</article-title>
<source>J Immunother Appl</source>
<year>2014</year>
<volume>1</volume>
<fpage>1</fpage>
<pub-id pub-id-type="doi">10.7243/2055-2394-1-1</pub-id>
<pub-id pub-id-type="pmid">25309746</pub-id>
</element-citation>
</ref>
<ref id="CR10">
<label>10.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>McGrath</surname>
<given-names>ER</given-names>
</name>
<name>
<surname>Doughty</surname>
<given-names>CT</given-names>
</name>
<name>
<surname>Amato</surname>
<given-names>AA</given-names>
</name>
</person-group>
<article-title>Autoimmune myopathies: updates on evaluation and treatment</article-title>
<source>Neurotherapeutics</source>
<year>2018</year>
<volume>15</volume>
<issue>4</issue>
<fpage>976</fpage>
<lpage>994</lpage>
<pub-id pub-id-type="doi">10.1007/s13311-018-00676-2</pub-id>
<pub-id pub-id-type="pmid">30341597</pub-id>
</element-citation>
</ref>
<ref id="CR11">
<label>11.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Afzali</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Ruck</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Wiendl</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Meuth</surname>
<given-names>SG</given-names>
</name>
</person-group>
<article-title>Animal models in idiopathic inflammatory myopathies: how to overcome a translational roadblock?</article-title>
<source>Autoimmun Rev</source>
<year>2017</year>
<volume>16</volume>
<fpage>478</fpage>
<lpage>494</lpage>
<pub-id pub-id-type="doi">10.1016/j.autrev.2017.03.001</pub-id>
<pub-id pub-id-type="pmid">28286105</pub-id>
</element-citation>
</ref>
<ref id="CR12">
<label>12.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rayavarapu</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Coley</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Kinder</surname>
<given-names>TB</given-names>
</name>
<name>
<surname>Nagaraju</surname>
<given-names>K</given-names>
</name>
</person-group>
<article-title>Idiopathic inflammatory myopathies: pathogenic mechanisms of muscle weakness</article-title>
<source>Skelet Muscle</source>
<year>2013</year>
<volume>3</volume>
<fpage>13</fpage>
<pub-id pub-id-type="doi">10.1186/2044-5040-3-13</pub-id>
<pub-id pub-id-type="pmid">23758833</pub-id>
</element-citation>
</ref>
<ref id="CR13">
<label>13.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname>
<given-names>GT</given-names>
</name>
<name>
<surname>Cho</surname>
<given-names>ML</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>YE</given-names>
</name>
<name>
<surname>Yoo</surname>
<given-names>WH</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Oh</surname>
<given-names>HJ</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>DS</given-names>
</name>
<name>
<surname>Baek</surname>
<given-names>SH</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>SH</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>JH</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Expression of TLR2, TLR4, and TLR9 in dermatomyositis and polymyositis</article-title>
<source>Clin Rheumatol</source>
<year>2010</year>
<volume>29</volume>
<fpage>273</fpage>
<lpage>279</lpage>
<pub-id pub-id-type="doi">10.1007/s10067-009-1316-7</pub-id>
<pub-id pub-id-type="pmid">19953283</pub-id>
</element-citation>
</ref>
<ref id="CR14">
<label>14.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brunn</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Zornbach</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Hans</surname>
<given-names>VH</given-names>
</name>
<name>
<surname>Haupt</surname>
<given-names>WF</given-names>
</name>
<name>
<surname>Deckert</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Toll-like receptors promote inflammation in idiopathic inflammatory myopathies</article-title>
<source>J Neuropathol Exp Neurol</source>
<year>2012</year>
<volume>71</volume>
<fpage>855</fpage>
<lpage>867</lpage>
<pub-id pub-id-type="doi">10.1097/NEN.0b013e31826bf7f3</pub-id>
<pub-id pub-id-type="pmid">22964787</pub-id>
</element-citation>
</ref>
<ref id="CR15">
<label>15.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wong</surname>
<given-names>KL</given-names>
</name>
<name>
<surname>Yeap</surname>
<given-names>WH</given-names>
</name>
<name>
<surname>Tai</surname>
<given-names>JJ</given-names>
</name>
<name>
<surname>Ong</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Dang</surname>
<given-names>TM</given-names>
</name>
<name>
<surname>Wong</surname>
<given-names>SC</given-names>
</name>
</person-group>
<article-title>The three human monocyte subsets: implications for health and disease</article-title>
<source>Immunol Res</source>
<year>2012</year>
<volume>53</volume>
<fpage>41</fpage>
<lpage>57</lpage>
<pub-id pub-id-type="doi">10.1007/s12026-012-8297-3</pub-id>
<pub-id pub-id-type="pmid">22430559</pub-id>
</element-citation>
</ref>
<ref id="CR16">
<label>16.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Anbazhagan</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Duroux-Richard</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Jorgensen</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Apparailly</surname>
<given-names>F</given-names>
</name>
</person-group>
<article-title>Transcriptomic network support distinct roles of classical and non-classical monocytes in human</article-title>
<source>Int Rev Immunol</source>
<year>2014</year>
<volume>33</volume>
<fpage>470</fpage>
<lpage>489</lpage>
<pub-id pub-id-type="doi">10.3109/08830185.2014.902453</pub-id>
<pub-id pub-id-type="pmid">24730730</pub-id>
</element-citation>
</ref>
<ref id="CR17">
<label>17.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Grip</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Bredberg</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Lindgren</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Henriksson</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>Increased subpopulations of CD16(+) and CD56(+) blood monocytes in patients with active Crohn’s disease</article-title>
<source>Inflamm Bowel Dis</source>
<year>2007</year>
<volume>13</volume>
<fpage>566</fpage>
<lpage>572</lpage>
<pub-id pub-id-type="doi">10.1002/ibd.20025</pub-id>
<pub-id pub-id-type="pmid">17260384</pub-id>
</element-citation>
</ref>
<ref id="CR18">
<label>18.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rossol</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Kraus</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Pierer</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Baerwald</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Wagner</surname>
<given-names>U</given-names>
</name>
</person-group>
<article-title>The CD14(bright) CD16+ monocyte subset is expanded in rheumatoid arthritis and promotes expansion of the Th17 cell population</article-title>
<source>Arthritis Rheum</source>
<year>2012</year>
<volume>64</volume>
<fpage>671</fpage>
<lpage>677</lpage>
<pub-id pub-id-type="doi">10.1002/art.33418</pub-id>
<pub-id pub-id-type="pmid">22006178</pub-id>
</element-citation>
</ref>
<ref id="CR19">
<label>19.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Aggarwal</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Rider</surname>
<given-names>LG</given-names>
</name>
<name>
<surname>Ruperto</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Bayat</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Erman</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Feldman</surname>
<given-names>BM</given-names>
</name>
<name>
<surname>Oddis</surname>
<given-names>CV</given-names>
</name>
<name>
<surname>Amato</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Chinoy</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Cooper</surname>
<given-names>RG</given-names>
</name>
<etal></etal>
</person-group>
<article-title>2016 American College of Rheumatology/European League Against Rheumatism criteria for minimal, moderate, and major clinical response in adult dermatomyositis and polymyositis: an International Myositis Assessment and Clinical Studies Group/Paediatric Rheumatology International Trials Organisation Collaborative Initiative</article-title>
<source>Ann Rheum Dis</source>
<year>2017</year>
<volume>76</volume>
<fpage>792</fpage>
<lpage>801</lpage>
<pub-id pub-id-type="doi">10.1136/annrheumdis-2017-211400</pub-id>
<pub-id pub-id-type="pmid">28385805</pub-id>
</element-citation>
</ref>
<ref id="CR20">
<label>20.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bohan</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Peter</surname>
<given-names>JB</given-names>
</name>
</person-group>
<article-title>Polymyositis and dermatomyositis (first of two parts)</article-title>
<source>N Engl J Med</source>
<year>1975</year>
<volume>292</volume>
<fpage>344</fpage>
<lpage>347</lpage>
<pub-id pub-id-type="doi">10.1056/NEJM197502132920706</pub-id>
<pub-id pub-id-type="pmid">1090839</pub-id>
</element-citation>
</ref>
<ref id="CR21">
<label>21.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Euwer</surname>
<given-names>RL</given-names>
</name>
<name>
<surname>Sontheimer</surname>
<given-names>RD</given-names>
</name>
</person-group>
<article-title>Amyopathic dermatomyositis: a review</article-title>
<source>J Invest Dermatol</source>
<year>1993</year>
<volume>100</volume>
<fpage>124S</fpage>
<lpage>127S</lpage>
<pub-id pub-id-type="doi">10.1038/jid.1993.35</pub-id>
<pub-id pub-id-type="pmid">8423381</pub-id>
</element-citation>
</ref>
<ref id="CR22">
<label>22.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Remijsen</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Vanden Berghe</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Wirawan</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Asselbergh</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Parthoens</surname>
<given-names>E</given-names>
</name>
<name>
<surname>De Rycke</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Noppen</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Delforge</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Willems</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Vandenabeele</surname>
<given-names>P</given-names>
</name>
</person-group>
<article-title>Neutrophil extracellular trap cell death requires both autophagy and superoxide generation</article-title>
<source>Cell Res</source>
<year>2011</year>
<volume>21</volume>
<fpage>290</fpage>
<lpage>304</lpage>
<pub-id pub-id-type="doi">10.1038/cr.2010.150</pub-id>
<pub-id pub-id-type="pmid">21060338</pub-id>
</element-citation>
</ref>
<ref id="CR23">
<label>23.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rider</surname>
<given-names>LG</given-names>
</name>
<name>
<surname>Werth</surname>
<given-names>VP</given-names>
</name>
<name>
<surname>Huber</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Alexanderson</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Rao</surname>
<given-names>AP</given-names>
</name>
<name>
<surname>Ruperto</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Herbelin</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Barohn</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Isenberg</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Miller</surname>
<given-names>FW</given-names>
</name>
</person-group>
<article-title>Measures of adult and juvenile dermatomyositis, polymyositis, and inclusion body myositis: physician and patient/parent global activity, manual muscle testing (MMT), health assessment questionnaire (HAQ)/childhood health assessment questionnaire (C-HAQ), childhood myositis assessment scale (CMAS), myositis disease activity assessment tool (MDAAT), disease activity score (DAS), short form 36 (SF-36), child health questionnaire (CHQ), physician global damage, myositis damage index (MDI), quantitative muscle testing (QMT), myositis functional index-2 (FI-2), myositis activities profile (MAP), inclusion body myositis functional rating scale (IBMFRS), cutaneous dermatomyositis disease area and severity index (CDASI), cutaneous assessment tool (CAT), dermatomyositis skin severity index (DSSI), skindex, and dermatology life quality index (DLQI)</article-title>
<source>Arthritis Care Res</source>
<year>2011</year>
<volume>63</volume>
<issue>Suppl 11</issue>
<fpage>S118</fpage>
<lpage>S157</lpage>
<pub-id pub-id-type="doi">10.1002/acr.20532</pub-id>
</element-citation>
</ref>
<ref id="CR24">
<label>24.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Oddis</surname>
<given-names>CV</given-names>
</name>
<name>
<surname>Rider</surname>
<given-names>LG</given-names>
</name>
<name>
<surname>Reed</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Ruperto</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Brunner</surname>
<given-names>HI</given-names>
</name>
<name>
<surname>Koneru</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Feldman</surname>
<given-names>BM</given-names>
</name>
<name>
<surname>Giannini</surname>
<given-names>EH</given-names>
</name>
<name>
<surname>Miller</surname>
<given-names>FW</given-names>
</name>
<collab>International Myositis A</collab>
<collab>Clinical Studies G</collab>
</person-group>
<article-title>International consensus guidelines for trials of therapies in the idiopathic inflammatory myopathies</article-title>
<source>Arthritis Rheum</source>
<year>2005</year>
<volume>52</volume>
<fpage>2607</fpage>
<lpage>2615</lpage>
<pub-id pub-id-type="doi">10.1002/art.21291</pub-id>
<pub-id pub-id-type="pmid">16142757</pub-id>
</element-citation>
</ref>
<ref id="CR25">
<label>25.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Andracco</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Irace</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Zaccara</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Vettori</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Maglione</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Riccardi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Pignataro</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Ferrara</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Sambataro</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Sambataro</surname>
<given-names>G</given-names>
</name>
<etal></etal>
</person-group>
<article-title>The cumulative number of micro-haemorrhages and micro-thromboses in nailfold videocapillaroscopy is a good indicator of disease activity in systemic sclerosis: a validation study of the NEMO score</article-title>
<source>Arthritis Res Ther</source>
<year>2017</year>
<volume>19</volume>
<fpage>133</fpage>
<pub-id pub-id-type="doi">10.1186/s13075-017-1354-5</pub-id>
<pub-id pub-id-type="pmid">28610600</pub-id>
</element-citation>
</ref>
<ref id="CR26">
<label>26.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ziegler-Heitbrock</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Ancuta</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Crowe</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Dalod</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Grau</surname>
<given-names>V</given-names>
</name>
<name>
<surname>Hart</surname>
<given-names>DN</given-names>
</name>
<name>
<surname>Leenen</surname>
<given-names>PJ</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>YJ</given-names>
</name>
<name>
<surname>MacPherson</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Randolph</surname>
<given-names>GJ</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Nomenclature of monocytes and dendritic cells in blood</article-title>
<source>Blood</source>
<year>2010</year>
<volume>116</volume>
<fpage>e74</fpage>
<lpage>e80</lpage>
<pub-id pub-id-type="doi">10.1182/blood-2010-02-258558</pub-id>
<pub-id pub-id-type="pmid">20628149</pub-id>
</element-citation>
</ref>
<ref id="CR27">
<label>27.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chara</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Sanchez-Atrio</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Perez</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Cuende</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Albarran</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Turrion</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Chevarria</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Sanchez</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Monserrat</surname>
<given-names>J</given-names>
</name>
<name>
<surname>de la Hera</surname>
<given-names>A</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Monocyte populations as markers of response to adalimumab plus MTX in rheumatoid arthritis</article-title>
<source>Arthritis Res Ther</source>
<year>2012</year>
<volume>14</volume>
<fpage>R175</fpage>
<pub-id pub-id-type="doi">10.1186/ar3928</pub-id>
<pub-id pub-id-type="pmid">22838733</pub-id>
</element-citation>
</ref>
<ref id="CR28">
<label>28.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>De Rycke</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Vandooren</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Kruithof</surname>
<given-names>E</given-names>
</name>
<name>
<surname>De Keyser</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Veys</surname>
<given-names>EM</given-names>
</name>
<name>
<surname>Baeten</surname>
<given-names>D</given-names>
</name>
</person-group>
<article-title>Tumor necrosis factor alpha blockade treatment down-modulates the increased systemic and local expression of Toll-like receptor 2 and Toll-like receptor 4 in spondylarthropathy</article-title>
<source>Arthritis Rheum</source>
<year>2005</year>
<volume>52</volume>
<fpage>2146</fpage>
<lpage>2158</lpage>
<pub-id pub-id-type="doi">10.1002/art.21155</pub-id>
<pub-id pub-id-type="pmid">15986373</pub-id>
</element-citation>
</ref>
<ref id="CR29">
<label>29.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chara</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Sanchez-Atrio</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Perez</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Cuende</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Albarran</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Turrion</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Chevarria</surname>
<given-names>J</given-names>
</name>
<name>
<surname>del Barco</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Sanchez</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Monserrat</surname>
<given-names>J</given-names>
</name>
<etal></etal>
</person-group>
<article-title>The number of circulating monocytes as biomarkers of the clinical response to methotrexate in untreated patients with rheumatoid arthritis</article-title>
<source>J Transl Med</source>
<year>2015</year>
<volume>13</volume>
<fpage>2</fpage>
<pub-id pub-id-type="doi">10.1186/s12967-014-0375-y</pub-id>
<pub-id pub-id-type="pmid">25592233</pub-id>
</element-citation>
</ref>
<ref id="CR30">
<label>30.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rogacev</surname>
<given-names>KS</given-names>
</name>
<name>
<surname>Zawada</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Hundsdorfer</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Achenbach</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Held</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Fliser</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Heine</surname>
<given-names>GH</given-names>
</name>
</person-group>
<article-title>Immunosuppression and monocyte subsets</article-title>
<source>Nephrol Dial Transplant</source>
<year>2015</year>
<volume>30</volume>
<fpage>143</fpage>
<lpage>153</lpage>
<pub-id pub-id-type="doi">10.1093/ndt/gfu315</pub-id>
<pub-id pub-id-type="pmid">25313167</pub-id>
</element-citation>
</ref>
<ref id="CR31">
<label>31.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>He</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Shi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Kang</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>M</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Toll-like receptor 4-myeloid differentiation primary response gene 88 pathway is involved in the inflammatory development of polymyositis by mediating interferon-gamma and interleukin-17A in humans and experimental autoimmune myositis mouse model</article-title>
<source>Front Neurol</source>
<year>2017</year>
<volume>8</volume>
<fpage>132</fpage>
<pub-id pub-id-type="pmid">28446897</pub-id>
</element-citation>
</ref>
<ref id="CR32">
<label>32.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Song</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Hong</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>GW</given-names>
</name>
<name>
<surname>Jung</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>HJ</given-names>
</name>
<name>
<surname>Joo</surname>
<given-names>JWJ</given-names>
</name>
<name>
<surname>Jang</surname>
<given-names>W</given-names>
</name>
</person-group>
<article-title>Meta-analysis of polymyositis and dermatomyositis microarray data reveals novel genetic biomarkers</article-title>
<source>Genes</source>
<year>2019</year>
<volume>10</volume>
<fpage>864</fpage>
<pub-id pub-id-type="doi">10.3390/genes10110864</pub-id>
</element-citation>
</ref>
<ref id="CR33">
<label>33.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ben-David</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Livneh</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Lidar</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Feld</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Haj Yahia</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Grossman</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Ben-Zvi</surname>
<given-names>I</given-names>
</name>
</person-group>
<article-title>Toll-like receptor 2 is overexpressed in Familial Mediterranean fever patients and is inhibited by colchicine treatment</article-title>
<source>Best Pract Res Clin Rheumatol</source>
<year>2018</year>
<volume>32</volume>
<fpage>651</fpage>
<lpage>661</lpage>
<pub-id pub-id-type="doi">10.1016/j.berh.2019.01.012</pub-id>
<pub-id pub-id-type="pmid">31203923</pub-id>
</element-citation>
</ref>
<ref id="CR34">
<label>34.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gjelstrup</surname>
<given-names>MC</given-names>
</name>
<name>
<surname>Stilund</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Petersen</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Moller</surname>
<given-names>HJ</given-names>
</name>
<name>
<surname>Petersen</surname>
<given-names>EL</given-names>
</name>
<name>
<surname>Christensen</surname>
<given-names>T</given-names>
</name>
</person-group>
<article-title>Subsets of activated monocytes and markers of inflammation in incipient and progressed multiple sclerosis</article-title>
<source>Immunol Cell Biol</source>
<year>2018</year>
<volume>96</volume>
<fpage>160</fpage>
<lpage>174</lpage>
<pub-id pub-id-type="doi">10.1111/imcb.1025</pub-id>
<pub-id pub-id-type="pmid">29363161</pub-id>
</element-citation>
</ref>
<ref id="CR35">
<label>35.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gaur</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Myles</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Misra</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Aggarwal</surname>
<given-names>A</given-names>
</name>
</person-group>
<article-title>Intermediate monocytes are increased in enthesitis-related arthritis, a category of juvenile idiopathic arthritis</article-title>
<source>Clin Exp Immunol</source>
<year>2017</year>
<volume>187</volume>
<fpage>234</fpage>
<lpage>241</lpage>
<pub-id pub-id-type="doi">10.1111/cei.12880</pub-id>
<pub-id pub-id-type="pmid">27706807</pub-id>
</element-citation>
</ref>
<ref id="CR36">
<label>36.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zeng</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Dong</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Ruan</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>H</given-names>
</name>
</person-group>
<article-title>CD14(+)CD16(++) monocytes are increased in patients with NMO and are selectively suppressed by glucocorticoids therapy</article-title>
<source>J Neuroimmunol</source>
<year>2016</year>
<volume>300</volume>
<fpage>1</fpage>
<lpage>8</lpage>
<pub-id pub-id-type="doi">10.1016/j.jneuroim.2016.09.011</pub-id>
<pub-id pub-id-type="pmid">27806868</pub-id>
</element-citation>
</ref>
<ref id="CR37">
<label>37.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mukherjee</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Kanti Barman</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Kumar Thatoi</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Tripathy</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Kumar Das</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Ravindran</surname>
<given-names>B</given-names>
</name>
</person-group>
<article-title>Non-classical monocytes display inflammatory features: validation in sepsis and systemic lupus erythematous</article-title>
<source>Sci Rep</source>
<year>2015</year>
<volume>5</volume>
<fpage>13886</fpage>
<pub-id pub-id-type="doi">10.1038/srep13886</pub-id>
<pub-id pub-id-type="pmid">26358827</pub-id>
</element-citation>
</ref>
<ref id="CR38">
<label>38.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>O’Brien</surname>
<given-names>EC</given-names>
</name>
<name>
<surname>Abdulahad</surname>
<given-names>WH</given-names>
</name>
<name>
<surname>Rutgers</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Huitema</surname>
<given-names>MG</given-names>
</name>
<name>
<surname>O’Reilly</surname>
<given-names>VP</given-names>
</name>
<name>
<surname>Coughlan</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Harrington</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Heeringa</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Little</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Hickey</surname>
<given-names>FB</given-names>
</name>
</person-group>
<article-title>Intermediate monocytes in ANCA vasculitis: increased surface expression of ANCA autoantigens and IL-1beta secretion in response to anti-MPO antibodies</article-title>
<source>Sci Rep</source>
<year>2015</year>
<volume>5</volume>
<fpage>11888</fpage>
<pub-id pub-id-type="doi">10.1038/srep11888</pub-id>
<pub-id pub-id-type="pmid">26149790</pub-id>
</element-citation>
</ref>
<ref id="CR39">
<label>39.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hijdra</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Vorselaars</surname>
<given-names>AD</given-names>
</name>
<name>
<surname>Crommelin</surname>
<given-names>HA</given-names>
</name>
<name>
<surname>van Moorsel</surname>
<given-names>CH</given-names>
</name>
<name>
<surname>Meek</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Claessen</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Rijkers</surname>
<given-names>GT</given-names>
</name>
<name>
<surname>Grutters</surname>
<given-names>JC</given-names>
</name>
</person-group>
<article-title>Can intermediate monocytes predict response to infliximab therapy in sarcoidosis?</article-title>
<source>Eur Respir J</source>
<year>2016</year>
<volume>48</volume>
<fpage>1242</fpage>
<lpage>1245</lpage>
<pub-id pub-id-type="doi">10.1183/13993003.00709-2016</pub-id>
<pub-id pub-id-type="pmid">27390275</pub-id>
</element-citation>
</ref>
<ref id="CR40">
<label>40.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eljaszewicz</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Kleina</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Grubczak</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Radzikowska</surname>
<given-names>U</given-names>
</name>
<name>
<surname>Zembko</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Kaczmarczyk</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Tynecka</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Dworzanczyk</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Naumnik</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Moniuszko</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Elevated numbers of circulating very small embryonic-like stem cells (VSELs) and intermediate CD14++CD16+ monocytes in IgA nephropathy</article-title>
<source>Stem Cell Rev Rep</source>
<year>2018</year>
<volume>14</volume>
<fpage>686</fpage>
<lpage>693</lpage>
<pub-id pub-id-type="doi">10.1007/s12015-018-9840-y</pub-id>
<pub-id pub-id-type="pmid">30022351</pub-id>
</element-citation>
</ref>
<ref id="CR41">
<label>41.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ren</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Mou</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Su</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Cao</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Ni</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Gui</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Gong</surname>
<given-names>C</given-names>
</name>
</person-group>
<article-title>Increase in peripheral blood intermediate monocytes is associated with the development of recent-onset type 1 diabetes mellitus in children</article-title>
<source>Int J Biol Sci</source>
<year>2017</year>
<volume>13</volume>
<fpage>209</fpage>
<lpage>218</lpage>
<pub-id pub-id-type="doi">10.7150/ijbs.15659</pub-id>
<pub-id pub-id-type="pmid">28255273</pub-id>
</element-citation>
</ref>
<ref id="CR42">
<label>42.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wypasek</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Padjas</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Szymanska</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Plens</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Siedlar</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Undas</surname>
<given-names>A</given-names>
</name>
</person-group>
<article-title>Non-classical and intermediate monocytes in patients following venous thromboembolism: links with inflammation</article-title>
<source>Adv Clin Exp Med</source>
<year>2019</year>
<volume>28</volume>
<fpage>51</fpage>
<lpage>58</lpage>
<pub-id pub-id-type="doi">10.17219/acem/76262</pub-id>
<pub-id pub-id-type="pmid">30088349</pub-id>
</element-citation>
</ref>
<ref id="CR43">
<label>43.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Grosse</surname>
<given-names>GM</given-names>
</name>
<name>
<surname>Schulz-Schaeffer</surname>
<given-names>WJ</given-names>
</name>
<name>
<surname>Teebken</surname>
<given-names>OE</given-names>
</name>
<name>
<surname>Schuppner</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Dirks</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Worthmann</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Lichtinghagen</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Maye</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Limbourg</surname>
<given-names>FP</given-names>
</name>
<name>
<surname>Weissenborn</surname>
<given-names>K</given-names>
</name>
</person-group>
<article-title>Monocyte subsets and related chemokines in carotid artery stenosis and ischemic stroke</article-title>
<source>Int J Mol Sci</source>
<year>2016</year>
<volume>17</volume>
<fpage>433</fpage>
<pub-id pub-id-type="doi">10.3390/ijms17040433</pub-id>
<pub-id pub-id-type="pmid">27023515</pub-id>
</element-citation>
</ref>
<ref id="CR44">
<label>44.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tsukamoto</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Seta</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Yoshimoto</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Suzuki</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Yamaoka</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Takeuchi</surname>
<given-names>T</given-names>
</name>
</person-group>
<article-title>CD14(bright)CD16+ intermediate monocytes are induced by interleukin-10 and positively correlate with disease activity in rheumatoid arthritis</article-title>
<source>Arthritis Res Ther</source>
<year>2017</year>
<volume>19</volume>
<fpage>28</fpage>
<pub-id pub-id-type="doi">10.1186/s13075-016-1216-6</pub-id>
<pub-id pub-id-type="pmid">28183329</pub-id>
</element-citation>
</ref>
<ref id="CR45">
<label>45.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gula</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Stec</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Rutkowska-Zapala</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Lenart</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Korkosz</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Gasowski</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Baran</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Baj-Krzyworzeka</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Szatanek</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Czyz</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Siedlar</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>The absolute number of circulating nonclassical (CD14+CD16++) monocytes negatively correlates with DAS28 and swollen joint count in patients with peripheral spondyloarthritis</article-title>
<source>Pol Arch Intern Med</source>
<year>2017</year>
<volume>127</volume>
<fpage>846</fpage>
<lpage>853</lpage>
<pub-id pub-id-type="pmid">29112187</pub-id>
</element-citation>
</ref>
<ref id="CR46">
<label>46.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rana</surname>
<given-names>AK</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Dang</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>F</given-names>
</name>
</person-group>
<article-title>Monocytes in rheumatoid arthritis: circulating precursors of macrophages and osteoclasts and their heterogeneity and plasticity role in RA pathogenesis</article-title>
<source>Int Immunopharmacol</source>
<year>2018</year>
<volume>65</volume>
<fpage>348</fpage>
<lpage>359</lpage>
<pub-id pub-id-type="doi">10.1016/j.intimp.2018.10.016</pub-id>
<pub-id pub-id-type="pmid">30366278</pub-id>
</element-citation>
</ref>
<ref id="CR47">
<label>47.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>San Emeterio</surname>
<given-names>CL</given-names>
</name>
<name>
<surname>Olingy</surname>
<given-names>CE</given-names>
</name>
<name>
<surname>Chu</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Botchwey</surname>
<given-names>EA</given-names>
</name>
</person-group>
<article-title>Selective recruitment of non-classical monocytes promotes skeletal muscle repair</article-title>
<source>Biomaterials</source>
<year>2017</year>
<volume>117</volume>
<fpage>32</fpage>
<lpage>43</lpage>
<pub-id pub-id-type="doi">10.1016/j.biomaterials.2016.11.021</pub-id>
<pub-id pub-id-type="pmid">27930948</pub-id>
</element-citation>
</ref>
<ref id="CR48">
<label>48.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lacerte</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Brunet</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Egarnes</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Duchene</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Brown</surname>
<given-names>JP</given-names>
</name>
<name>
<surname>Gosselin</surname>
<given-names>J</given-names>
</name>
</person-group>
<article-title>Overexpression of TLR2 and TLR9 on monocyte subsets of active rheumatoid arthritis patients contributes to enhance responsiveness to TLR agonists</article-title>
<source>Arthritis Res Ther</source>
<year>2016</year>
<volume>18</volume>
<fpage>10</fpage>
<pub-id pub-id-type="doi">10.1186/s13075-015-0901-1</pub-id>
<pub-id pub-id-type="pmid">26759164</pub-id>
</element-citation>
</ref>
<ref id="CR49">
<label>49.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Iwahashi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Yamamura</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Aita</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Okamoto</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Ueno</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Ogawa</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Akashi</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Miyake</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Godowski</surname>
<given-names>PJ</given-names>
</name>
<name>
<surname>Makino</surname>
<given-names>H</given-names>
</name>
</person-group>
<article-title>Expression of Toll-like receptor 2 on CD16+ blood monocytes and synovial tissue macrophages in rheumatoid arthritis</article-title>
<source>Arthritis Rheum</source>
<year>2004</year>
<volume>50</volume>
<fpage>1457</fpage>
<lpage>1467</lpage>
<pub-id pub-id-type="doi">10.1002/art.20219</pub-id>
<pub-id pub-id-type="pmid">15146415</pub-id>
</element-citation>
</ref>
<ref id="CR50">
<label>50.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Atehortua</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Rojas</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Vasquez</surname>
<given-names>GM</given-names>
</name>
<name>
<surname>Castano</surname>
<given-names>D</given-names>
</name>
</person-group>
<article-title>Endothelial alterations in systemic lupus erythematosus and rheumatoid arthritis: potential effect of monocyte interaction</article-title>
<source>Mediat Inflamm</source>
<year>2017</year>
<volume>2017</volume>
<fpage>9680729</fpage>
<pub-id pub-id-type="doi">10.1155/2017/9680729</pub-id>
</element-citation>
</ref>
<ref id="CR51">
<label>51.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ben</surname>
<given-names>DF</given-names>
</name>
<name>
<surname>Yu</surname>
<given-names>XY</given-names>
</name>
<name>
<surname>Ji</surname>
<given-names>GY</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>DY</given-names>
</name>
<name>
<surname>Lv</surname>
<given-names>KY</given-names>
</name>
<name>
<surname>Ma</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Xia</surname>
<given-names>ZF</given-names>
</name>
</person-group>
<article-title>TLR4 mediates lung injury and inflammation in intestinal ischemia-reperfusion</article-title>
<source>J Surg Res</source>
<year>2012</year>
<volume>174</volume>
<fpage>326</fpage>
<lpage>333</lpage>
<pub-id pub-id-type="doi">10.1016/j.jss.2010.12.005</pub-id>
<pub-id pub-id-type="pmid">21392794</pub-id>
</element-citation>
</ref>
<ref id="CR52">
<label>52.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yasin</surname>
<given-names>SA</given-names>
</name>
<name>
<surname>Schutz</surname>
<given-names>PW</given-names>
</name>
<name>
<surname>Deakin</surname>
<given-names>CT</given-names>
</name>
<name>
<surname>Sag</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Varsani</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Simou</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Marshall</surname>
<given-names>LR</given-names>
</name>
<name>
<surname>Tansley</surname>
<given-names>SL</given-names>
</name>
<name>
<surname>McHugh</surname>
<given-names>NJ</given-names>
</name>
<name>
<surname>Holton</surname>
<given-names>JL</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Histological heterogeneity in a large clinical cohort of juvenile idiopathic inflammatory myopathy: analysis by myositis autoantibody and pathological features</article-title>
<source>Neuropathol Appl Neurobiol</source>
<year>2019</year>
<volume>45</volume>
<fpage>495</fpage>
<lpage>512</lpage>
<pub-id pub-id-type="doi">10.1111/nan.12528</pub-id>
<pub-id pub-id-type="pmid">30378704</pub-id>
</element-citation>
</ref>
<ref id="CR53">
<label>53.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harlow</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Fernandez</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Soejima</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Ridgway</surname>
<given-names>WM</given-names>
</name>
<name>
<surname>Ascherman</surname>
<given-names>DP</given-names>
</name>
</person-group>
<article-title>Characterization of TLR4-mediated auto-antibody production in a mouse model of histidyl-tRNA synthetase-induced myositis</article-title>
<source>Innate Immun</source>
<year>2012</year>
<volume>18</volume>
<fpage>876</fpage>
<lpage>885</lpage>
<pub-id pub-id-type="doi">10.1177/1753425912446714</pub-id>
<pub-id pub-id-type="pmid">22582345</pub-id>
</element-citation>
</ref>
<ref id="CR54">
<label>54.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wan</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>A</given-names>
</name>
<name>
<surname>He</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Lei</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y</given-names>
</name>
</person-group>
<article-title>TLR4-HMGB1 signaling pathway affects the inflammatory reaction of autoimmune myositis by regulating MHC-I</article-title>
<source>Int Immunopharmacol</source>
<year>2016</year>
<volume>41</volume>
<fpage>74</fpage>
<lpage>81</lpage>
<pub-id pub-id-type="doi">10.1016/j.intimp.2016.10.009</pub-id>
<pub-id pub-id-type="pmid">27816788</pub-id>
</element-citation>
</ref>
<ref id="CR55">
<label>55.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zong</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Bruton</surname>
<given-names>JD</given-names>
</name>
<name>
<surname>Grundtman</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Alexanderson</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Palmblad</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Andersson</surname>
<given-names>U</given-names>
</name>
<name>
<surname>Harris</surname>
<given-names>HE</given-names>
</name>
<name>
<surname>Lundberg</surname>
<given-names>IE</given-names>
</name>
<name>
<surname>Westerblad</surname>
<given-names>H</given-names>
</name>
</person-group>
<article-title>TLR4 as receptor for HMGB1 induced muscle dysfunction in myositis</article-title>
<source>Ann Rheum Dis</source>
<year>2013</year>
<volume>72</volume>
<fpage>1390</fpage>
<lpage>1399</lpage>
<pub-id pub-id-type="doi">10.1136/annrheumdis-2012-202207</pub-id>
<pub-id pub-id-type="pmid">23148306</pub-id>
</element-citation>
</ref>
<ref id="CR56">
<label>56.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fernandez</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Harlow</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Zang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Liu-Bryan</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Ridgway</surname>
<given-names>WM</given-names>
</name>
<name>
<surname>Clemens</surname>
<given-names>PR</given-names>
</name>
<name>
<surname>Ascherman</surname>
<given-names>DP</given-names>
</name>
</person-group>
<article-title>Functional redundancy of MyD88-dependent signaling pathways in a murine model of histidyl-transfer RNA synthetase-induced myositis</article-title>
<source>J Immunol</source>
<year>2013</year>
<volume>191</volume>
<fpage>1865</fpage>
<lpage>1872</lpage>
<pub-id pub-id-type="doi">10.4049/jimmunol.1203070</pub-id>
<pub-id pub-id-type="pmid">23842751</pub-id>
</element-citation>
</ref>
<ref id="CR57">
<label>57.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Picard</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Casanova</surname>
<given-names>JL</given-names>
</name>
<name>
<surname>Puel</surname>
<given-names>A</given-names>
</name>
</person-group>
<article-title>Infectious diseases in patients with IRAK-4, MyD88, NEMO, or IkappaBalpha deficiency</article-title>
<source>Clin Microbiol Rev</source>
<year>2011</year>
<volume>24</volume>
<fpage>490</fpage>
<lpage>497</lpage>
<pub-id pub-id-type="doi">10.1128/CMR.00001-11</pub-id>
<pub-id pub-id-type="pmid">21734245</pub-id>
</element-citation>
</ref>
<ref id="CR58">
<label>58.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Piao</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Vogel</surname>
<given-names>SN</given-names>
</name>
<name>
<surname>Toshchakov</surname>
<given-names>VY</given-names>
</name>
</person-group>
<article-title>Inhibition of TLR4 signaling by TRAM-derived decoy peptides in vitro and in vivo</article-title>
<source>J Immunol</source>
<year>2013</year>
<volume>190</volume>
<fpage>2263</fpage>
<lpage>2272</lpage>
<pub-id pub-id-type="doi">10.4049/jimmunol.1202703</pub-id>
<pub-id pub-id-type="pmid">23345333</pub-id>
</element-citation>
</ref>
<ref id="CR59">
<label>59.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hu</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Qu</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Cao</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>N</given-names>
</name>
</person-group>
<article-title>TRAM-derived decoy peptides inhibits the inflammatory response in mouse mammary epithelial cells and a mastitis model in mice</article-title>
<source>Eur J Pharmacol</source>
<year>2015</year>
<volume>764</volume>
<fpage>607</fpage>
<lpage>612</lpage>
<pub-id pub-id-type="doi">10.1016/j.ejphar.2015.06.022</pub-id>
<pub-id pub-id-type="pmid">26101068</pub-id>
</element-citation>
</ref>
<ref id="CR60">
<label>60.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kawamoto</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Ii</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Kitazaki</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Iizawa</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Kimura</surname>
<given-names>H</given-names>
</name>
</person-group>
<article-title>TAK-242 selectively suppresses Toll-like receptor 4-signaling mediated by the intracellular domain</article-title>
<source>Eur J Pharmacol</source>
<year>2008</year>
<volume>584</volume>
<fpage>40</fpage>
<lpage>48</lpage>
<pub-id pub-id-type="doi">10.1016/j.ejphar.2008.01.026</pub-id>
<pub-id pub-id-type="pmid">18299127</pub-id>
</element-citation>
</ref>
<ref id="CR61">
<label>61.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ii</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Matsunaga</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Hazeki</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Nakamura</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Takashima</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Seya</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Hazeki</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Kitazaki</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Iizawa</surname>
<given-names>Y</given-names>
</name>
</person-group>
<article-title>A novel cyclohexene derivative, ethyl (6R)-6-[
<italic>N</italic>
-(2-chloro-4-fluorophenyl)sulfamoyl]cyclohex-1-ene-1-carboxylate (TAK-242), selectively inhibits toll-like receptor 4-mediated cytokine production through suppression of intracellular signaling</article-title>
<source>Mol Pharmacol</source>
<year>2006</year>
<volume>69</volume>
<fpage>1288</fpage>
<lpage>1295</lpage>
<pub-id pub-id-type="doi">10.1124/mol.105.019695</pub-id>
<pub-id pub-id-type="pmid">16373689</pub-id>
</element-citation>
</ref>
<ref id="CR62">
<label>62.</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rodriguez Cruz</surname>
<given-names>PM</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>YB</given-names>
</name>
<name>
<surname>Miller</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Junckerstorff</surname>
<given-names>RC</given-names>
</name>
<name>
<surname>Mastaglia</surname>
<given-names>FL</given-names>
</name>
<name>
<surname>Fabian</surname>
<given-names>V</given-names>
</name>
</person-group>
<article-title>An analysis of the sensitivity and specificity of MHC-I and MHC-II immunohistochemical staining in muscle biopsies for the diagnosis of inflammatory myopathies</article-title>
<source>Neuromuscul Disord</source>
<year>2014</year>
<volume>24</volume>
<fpage>1025</fpage>
<lpage>1035</lpage>
<pub-id pub-id-type="doi">10.1016/j.nmd.2014.06.436</pub-id>
<pub-id pub-id-type="pmid">25153265</pub-id>
</element-citation>
</ref>
</ref-list>
</back>
</pmc>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/ChloroquineV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000125 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 000125 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    ChloroquineV1
   |flux=    Pmc
   |étape=   Corpus
   |type=    RBID
   |clé=     PMC:7066841
   |texte=   TLR expression in peripheral monocyte subsets of patients with idiopathic inflammatory myopathies: association with clinical and immunological features
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/RBID.i   -Sk "pubmed:32164729" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a ChloroquineV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Wed Mar 25 22:43:59 2020. Site generation: Sun Jan 31 12:44:45 2021