Serveur d'exploration sur la COVID en France

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Monocytopenia, monocyte morphological anomalies and hyperinflammation characterise severe COVID-19 in type 2 diabetes.

Identifieur interne : 000A96 ( Main/Exploration ); précédent : 000A95; suivant : 000A97

Monocytopenia, monocyte morphological anomalies and hyperinflammation characterise severe COVID-19 in type 2 diabetes.

Auteurs : Fawaz Alzaid [France] ; Jean-Baptiste Julla [France] ; Marc Diedisheim [France] ; Charline Potier [France] ; Louis Potier [France] ; Gilberto Velho [France] ; Bénédicte Gaborit [France] ; Philippe Manivet [France] ; Stéphane Germain [France] ; Tiphaine Vidal-Trecan [France] ; Ronan Roussel [France] ; Jean-Pierre Riveline [France] ; Elise Dalmas [France] ; Nicolas Venteclef [France] ; Jean-François Gautier [France]

Source :

RBID : pubmed:32816392

Abstract

Early in the COVID-19 pandemic, type 2 diabetes (T2D) was marked as a risk factor for severe disease and mortality. Inflammation is central to the aetiology of both conditions where variations in immune responses can mitigate or aggravate disease course. Identifying at-risk groups based on immunoinflammatory signatures is valuable in directing personalised care and developing potential targets for precision therapy. This observational study characterised immunophenotypic variation associated with COVID-19 severity in T2D. Broad-spectrum immunophenotyping quantified 15 leucocyte populations in peripheral circulation from a cohort of 45 hospitalised COVID-19 patients with and without T2D. Lymphocytopenia and specific loss of cytotoxic CD8+ lymphocytes were associated with severe COVID-19 and requirement for intensive care in both non-diabetic and T2D patients. A morphological anomaly of increased monocyte size and monocytopenia restricted to classical CD14Hi CD16- monocytes was specifically associated with severe COVID-19 in patients with T2D requiring intensive care. Increased expression of inflammatory markers reminiscent of the type 1 interferon pathway (IL6, IL8, CCL2, INFB1) underlaid the immunophenotype associated with T2D. These immunophenotypic and hyperinflammatory changes may contribute to increased voracity of COVID-19 in T2D. These findings allow precise identification of T2D patients with severe COVID-19 as well as provide evidence that the type 1 interferon pathway may be an actionable therapeutic target for future studies.

DOI: 10.15252/emmm.202013038
PubMed: 32816392
PubMed Central: PMC7461002


Affiliations:


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Le document en format XML

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<name sortKey="Germain, Stephane" sort="Germain, Stephane" uniqKey="Germain S" first="Stéphane" last="Germain">Stéphane Germain</name>
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<name sortKey="Vidal Trecan, Tiphaine" sort="Vidal Trecan, Tiphaine" uniqKey="Vidal Trecan T" first="Tiphaine" last="Vidal-Trecan">Tiphaine Vidal-Trecan</name>
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<name sortKey="Roussel, Ronan" sort="Roussel, Ronan" uniqKey="Roussel R" first="Ronan" last="Roussel">Ronan Roussel</name>
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<name sortKey="Riveline, Jean Pierre" sort="Riveline, Jean Pierre" uniqKey="Riveline J" first="Jean-Pierre" last="Riveline">Jean-Pierre Riveline</name>
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<name sortKey="Dalmas, Elise" sort="Dalmas, Elise" uniqKey="Dalmas E" first="Elise" last="Dalmas">Elise Dalmas</name>
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<name sortKey="Venteclef, Nicolas" sort="Venteclef, Nicolas" uniqKey="Venteclef N" first="Nicolas" last="Venteclef">Nicolas Venteclef</name>
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<name sortKey="Gautier, Jean Francois" sort="Gautier, Jean Francois" uniqKey="Gautier J" first="Jean-François" last="Gautier">Jean-François Gautier</name>
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<name sortKey="Potier, Charline" sort="Potier, Charline" uniqKey="Potier C" first="Charline" last="Potier">Charline Potier</name>
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<name sortKey="Potier, Louis" sort="Potier, Louis" uniqKey="Potier L" first="Louis" last="Potier">Louis Potier</name>
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<country xml:lang="fr">France</country>
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<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Gaborit, Benedicte" sort="Gaborit, Benedicte" uniqKey="Gaborit B" first="Bénédicte" last="Gaborit">Bénédicte Gaborit</name>
<affiliation wicri:level="3">
<nlm:affiliation>INSERM, INRA, Aix Marseille University, C2VN, Marseille, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>INSERM, INRA, Aix Marseille University, C2VN, Marseille</wicri:regionArea>
<placeName>
<region type="region">Provence-Alpes-Côte d'Azur</region>
<region type="old region">Provence-Alpes-Côte d'Azur</region>
<settlement type="city">Marseille</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Manivet, Philippe" sort="Manivet, Philippe" uniqKey="Manivet P" first="Philippe" last="Manivet">Philippe Manivet</name>
<affiliation wicri:level="3">
<nlm:affiliation>Endocrinology, Metabolic Diseases and Nutrition Department, Assistance Publique Hôpitaux de Marseille, Marseille, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Endocrinology, Metabolic Diseases and Nutrition Department, Assistance Publique Hôpitaux de Marseille, Marseille</wicri:regionArea>
<placeName>
<region type="region">Provence-Alpes-Côte d'Azur</region>
<region type="old region">Provence-Alpes-Côte d'Azur</region>
<settlement type="city">Marseille</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<nlm:affiliation>Centre de Ressources Biologique "biobank Lariboisière", BB-0033-00064, APHP, Nord, Université de Paris, Paris Diderot, Hôpital Lariboisière, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Centre de Ressources Biologique "biobank Lariboisière", BB-0033-00064, APHP, Nord, Université de Paris, Paris Diderot, Hôpital Lariboisière, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Germain, Stephane" sort="Germain, Stephane" uniqKey="Germain S" first="Stéphane" last="Germain">Stéphane Germain</name>
<affiliation wicri:level="3">
<nlm:affiliation>Center for Interdisciplinary Research in Biology (CIRB), College de France - Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris Sciences et Lettres (PSL) Research University, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Center for Interdisciplinary Research in Biology (CIRB), College de France - Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris Sciences et Lettres (PSL) Research University, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Vidal Trecan, Tiphaine" sort="Vidal Trecan, Tiphaine" uniqKey="Vidal Trecan T" first="Tiphaine" last="Vidal-Trecan">Tiphaine Vidal-Trecan</name>
<affiliation wicri:level="3">
<nlm:affiliation>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Roussel, Ronan" sort="Roussel, Ronan" uniqKey="Roussel R" first="Ronan" last="Roussel">Ronan Roussel</name>
<affiliation wicri:level="3">
<nlm:affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<nlm:affiliation>Department of Diabetology, Endocrinology and Nutrition, Bichat Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Department of Diabetology, Endocrinology and Nutrition, Bichat Hospital, Assistance Publique - Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Riveline, Jean Pierre" sort="Riveline, Jean Pierre" uniqKey="Riveline J" first="Jean-Pierre" last="Riveline">Jean-Pierre Riveline</name>
<affiliation wicri:level="3">
<nlm:affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<nlm:affiliation>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Dalmas, Elise" sort="Dalmas, Elise" uniqKey="Dalmas E" first="Elise" last="Dalmas">Elise Dalmas</name>
<affiliation wicri:level="3">
<nlm:affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Venteclef, Nicolas" sort="Venteclef, Nicolas" uniqKey="Venteclef N" first="Nicolas" last="Venteclef">Nicolas Venteclef</name>
<affiliation wicri:level="3">
<nlm:affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Gautier, Jean Francois" sort="Gautier, Jean Francois" uniqKey="Gautier J" first="Jean-François" last="Gautier">Jean-François Gautier</name>
<affiliation wicri:level="3">
<nlm:affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<nlm:affiliation>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">EMBO molecular medicine</title>
<idno type="eISSN">1757-4684</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
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<div type="abstract" xml:lang="en">Early in the COVID-19 pandemic, type 2 diabetes (T2D) was marked as a risk factor for severe disease and mortality. Inflammation is central to the aetiology of both conditions where variations in immune responses can mitigate or aggravate disease course. Identifying at-risk groups based on immunoinflammatory signatures is valuable in directing personalised care and developing potential targets for precision therapy. This observational study characterised immunophenotypic variation associated with COVID-19 severity in T2D. Broad-spectrum immunophenotyping quantified 15 leucocyte populations in peripheral circulation from a cohort of 45 hospitalised COVID-19 patients with and without T2D. Lymphocytopenia and specific loss of cytotoxic CD8
<sup>+</sup>
lymphocytes were associated with severe COVID-19 and requirement for intensive care in both non-diabetic and T2D patients. A morphological anomaly of increased monocyte size and monocytopenia restricted to classical CD14
<sup>Hi</sup>
CD16
<sup>-</sup>
monocytes was specifically associated with severe COVID-19 in patients with T2D requiring intensive care. Increased expression of inflammatory markers reminiscent of the type 1 interferon pathway (IL6, IL8, CCL2, INFB1) underlaid the immunophenotype associated with T2D. These immunophenotypic and hyperinflammatory changes may contribute to increased voracity of COVID-19 in T2D. These findings allow precise identification of T2D patients with severe COVID-19 as well as provide evidence that the type 1 interferon pathway may be an actionable therapeutic target for future studies.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="Publisher" Owner="NLM">
<PMID Version="1">32816392</PMID>
<DateRevised>
<Year>2020</Year>
<Month>09</Month>
<Day>11</Day>
</DateRevised>
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<Journal>
<ISSN IssnType="Electronic">1757-4684</ISSN>
<JournalIssue CitedMedium="Internet">
<PubDate>
<Year>2020</Year>
<Month>Aug</Month>
<Day>20</Day>
</PubDate>
</JournalIssue>
<Title>EMBO molecular medicine</Title>
<ISOAbbreviation>EMBO Mol Med</ISOAbbreviation>
</Journal>
<ArticleTitle>Monocytopenia, monocyte morphological anomalies and hyperinflammation characterise severe COVID-19 in type 2 diabetes.</ArticleTitle>
<Pagination>
<MedlinePgn>e13038</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.15252/emmm.202013038</ELocationID>
<Abstract>
<AbstractText>Early in the COVID-19 pandemic, type 2 diabetes (T2D) was marked as a risk factor for severe disease and mortality. Inflammation is central to the aetiology of both conditions where variations in immune responses can mitigate or aggravate disease course. Identifying at-risk groups based on immunoinflammatory signatures is valuable in directing personalised care and developing potential targets for precision therapy. This observational study characterised immunophenotypic variation associated with COVID-19 severity in T2D. Broad-spectrum immunophenotyping quantified 15 leucocyte populations in peripheral circulation from a cohort of 45 hospitalised COVID-19 patients with and without T2D. Lymphocytopenia and specific loss of cytotoxic CD8
<sup>+</sup>
lymphocytes were associated with severe COVID-19 and requirement for intensive care in both non-diabetic and T2D patients. A morphological anomaly of increased monocyte size and monocytopenia restricted to classical CD14
<sup>Hi</sup>
CD16
<sup>-</sup>
monocytes was specifically associated with severe COVID-19 in patients with T2D requiring intensive care. Increased expression of inflammatory markers reminiscent of the type 1 interferon pathway (IL6, IL8, CCL2, INFB1) underlaid the immunophenotype associated with T2D. These immunophenotypic and hyperinflammatory changes may contribute to increased voracity of COVID-19 in T2D. These findings allow precise identification of T2D patients with severe COVID-19 as well as provide evidence that the type 1 interferon pathway may be an actionable therapeutic target for future studies.</AbstractText>
<CopyrightInformation>© 2020 The Authors. Published under the terms of the CC BY 4.0 license.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y" EqualContrib="Y">
<LastName>Alzaid</LastName>
<ForeName>Fawaz</ForeName>
<Initials>F</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0003-3056-3640</Identifier>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y">
<LastName>Julla</LastName>
<ForeName>Jean-Baptiste</ForeName>
<Initials>JB</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Diedisheim</LastName>
<ForeName>Marc</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Diabetology, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Potier</LastName>
<ForeName>Charline</ForeName>
<Initials>C</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Potier</LastName>
<ForeName>Louis</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Diabetology, Endocrinology and Nutrition, Bichat Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Velho</LastName>
<ForeName>Gilberto</ForeName>
<Initials>G</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Gaborit</LastName>
<ForeName>Bénédicte</ForeName>
<Initials>B</Initials>
<AffiliationInfo>
<Affiliation>INSERM, INRA, Aix Marseille University, C2VN, Marseille, France.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Manivet</LastName>
<ForeName>Philippe</ForeName>
<Initials>P</Initials>
<AffiliationInfo>
<Affiliation>Endocrinology, Metabolic Diseases and Nutrition Department, Assistance Publique Hôpitaux de Marseille, Marseille, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Centre de Ressources Biologique "biobank Lariboisière", BB-0033-00064, APHP, Nord, Université de Paris, Paris Diderot, Hôpital Lariboisière, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Germain</LastName>
<ForeName>Stéphane</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>Center for Interdisciplinary Research in Biology (CIRB), College de France - Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris Sciences et Lettres (PSL) Research University, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Vidal-Trecan</LastName>
<ForeName>Tiphaine</ForeName>
<Initials>T</Initials>
<AffiliationInfo>
<Affiliation>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Roussel</LastName>
<ForeName>Ronan</ForeName>
<Initials>R</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Diabetology, Endocrinology and Nutrition, Bichat Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Riveline</LastName>
<ForeName>Jean-Pierre</ForeName>
<Initials>JP</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Dalmas</LastName>
<ForeName>Elise</ForeName>
<Initials>E</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Venteclef</LastName>
<ForeName>Nicolas</ForeName>
<Initials>N</Initials>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Gautier</LastName>
<ForeName>Jean-François</ForeName>
<Initials>JF</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-6458-2001</Identifier>
<AffiliationInfo>
<Affiliation>Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université, Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Diabetes, Clinical Investigation Centre (CIC-9504), Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y">
<Grant>
<GrantID>ANR-19-CE14-0005</GrantID>
<Agency>Agence Nationale de la Recherche (ANR)</Agency>
<Country></Country>
</Grant>
<Grant>
<GrantID>ERC-EpiFAT 725790</GrantID>
<Agency>EC | H2020 | H2020 Priority Excellent Science | H2020 European Research Council (ERC)</Agency>
<Country></Country>
</Grant>
<Grant>
<Agency>Société Francophone du Diabète (SFD)</Agency>
<Country></Country>
</Grant>
<Grant>
<Agency>Assistance Publique - Hôpitaux de Paris (AP-HP)</Agency>
<Country></Country>
</Grant>
<Grant>
<Agency>Institut National de la Santé et de la Recherche Médicale (Inserm)</Agency>
<Country></Country>
</Grant>
<Grant>
<Agency>European Foundation for the Study of Diabetes (EFSD)</Agency>
<Country></Country>
</Grant>
<Grant>
<Agency>CNRS-INSERM (ATIP-Avenir)</Agency>
<Country></Country>
</Grant>
</GrantList>
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</PublicationTypeList>
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<Month>08</Month>
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<ISSNLinking>1757-4676</ISSNLinking>
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<Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">SARS-CoV-2</Keyword>
<Keyword MajorTopicYN="N">inflammation</Keyword>
<Keyword MajorTopicYN="N">monocyte</Keyword>
<Keyword MajorTopicYN="N">type 2 diabetes</Keyword>
</KeywordList>
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<Month>08</Month>
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<ReferenceList>
<Title>References</Title>
<Reference>
<Citation>Alzaid F, Lagadec F, Albuquerque M, Ballaire R, Orliaguet L, Hainault I, Blugeon C, Lemoine S, Lehuen A, Saliba DG et al (2016) IRF5 governs liver macrophage activation that promotes hepatic fibrosis in mice and humans. JCI Insight 1: e88689</Citation>
</Reference>
<Reference>
<Citation>Autissier P, Soulas C, Burdo TH, Williams KC (2010) Immunophenotyping of lymphocyte, monocyte and dendritic cell subsets in normal rhesus macaques by 12-color flow cytometry: clarification on DC heterogeneity. J Immunol Methods 360: 119-128</Citation>
</Reference>
<Reference>
<Citation>Coates BM, Staricha KL, Koch CM, Cheng Y, Shumaker DK, Budinger GRS, Perlman H, Misharin AV, Ridge KM (2018) Inflammatory monocytes drive influenza A virus-mediated lung injury in juvenile mice. J Immunol 200: 2391-2404</Citation>
</Reference>
<Reference>
<Citation>Codo AC, Davanzo GG, Monteiro LB, de Souza GF, Muraro SP, Virgilio-da-Silva JV, Prodonoff JS, Carregari VC, de Biagi Junior CAO, Crunfli F et al (2020) Elevated glucose levels favor SARS-CoV-2 infection and monocyte response through a HIF-1alpha/glycolysis-dependent axis. Cell Metab https://doi.org/10.1016/j.cmet.2020.07.007</Citation>
</Reference>
<Reference>
<Citation>Corbin AL, Gomez-Vazquez M, Khoyratty TE, Berthold DL, Almuttaqi H, Attar M, Arnold IC, Powrie FM, Sansom SN, Udalova IA (2019) IRF5 promotes intestinal inflammation by guiding monocyte differentiation towards a pathogenic CD11c+ macrophage phenotype. BioRxiv https://doi.org/10.1101/601963 [PREPRINT]</Citation>
</Reference>
<Reference>
<Citation>Dalmas E, Toubal A, Alzaid F, Blazek K, Eames HL, Lebozec K, Pini M, Hainault I, Montastier E, Denis RG et al (2015) Irf5 deficiency in macrophages promotes beneficial adipose tissue expansion and insulin sensitivity during obesity. Nat Med 21: 610-618</Citation>
</Reference>
<Reference>
<Citation>Dong E, Du H, Gardner L (2020) An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis 20: 533-534</Citation>
</Reference>
<Reference>
<Citation>Forbester JL, Clement M, Wellington D, Yeung A, Dimonte S, Marsden M, Chapman L, Coomber EL, Tolley C, Lees E et al (2020) IRF5 promotes influenza virus-induced inflammatory responses in human induced pluripotent stem cell-derived myeloid cells and murine models. J Virol 94: e00121-20</Citation>
</Reference>
<Reference>
<Citation>Friedrich K, Sommer M, Strobel S, Thrum S, Bluher M, Wagner U, Rossol M (2019) Perturbation of the monocyte compartment in human obesity. Front Immunol 10: 1874</Citation>
</Reference>
<Reference>
<Citation>Gruber C (2020) Impaired interferon signature in severe COVID-19. Nat Rev Immunol 20: 353</Citation>
</Reference>
<Reference>
<Citation>Hadjadj J, Yatim N, Barnabei L, Corneau A, Boussier J, Pere H, Charbit B, Bondet V, Chenevier-Gobeaux C, Breillat P et al (2020) Impaired type I interferon activity and exacerbated inflammatory responses in severe Covid-19 patients. medRxiv https://doi.org/10.1101/2020.04.19.20068015 [PREPRINT]</Citation>
</Reference>
<Reference>
<Citation>Heng TS, Painter MW; Immunological Genome Project C (2008) The immunological genome project: networks of gene expression in immune cells. Nat Immunol 9: 1091-1094.</Citation>
</Reference>
<Reference>
<Citation>Hijdra D, Vorselaars AD, Grutters JC, Claessen AM, Rijkers GT (2013) Phenotypic characterization of human intermediate monocytes. Front Immunol 4: 339</Citation>
</Reference>
<Reference>
<Citation>Hoeve MA, Nash AA, Jackson D, Randall RE, Dransfield I (2012) Influenza virus A infection of human monocyte and macrophage subpopulations reveals increased susceptibility associated with cell differentiation. PLoS ONE 7: e29443</Citation>
</Reference>
<Reference>
<Citation>Jardine L, Wiscombe S, Reynolds G, McDonald D, Fuller A, Green K, Filby A, Forrest I, Ruchaud-Sparagano MH, Scott J et al (2019) Lipopolysaccharide inhalation recruits monocytes and dendritic cell subsets to the alveolar airspace. Nat Commun 10: 1999</Citation>
</Reference>
<Reference>
<Citation>Julla JB, Ballaire R, Ejlalmanesh T, Gautier JF, Venteclef N, Alzaid F (2019) Isolation and analysis of human monocytes and adipose tissue macrophages. Methods Mol Biol 1951: 33-48</Citation>
</Reference>
<Reference>
<Citation>Kim D, Lee H, Koh J, Ko JS, Yoon BR, Jeon YK, Cho YM, Kim TH, Suh YS, Lee HJ et al (2017) Cytosolic Pellino-1-mediated K63-linked ubiquitination of IRF5 in M1 macrophages regulates glucose intolerance in obesity. Cell Rep 20: 832-845</Citation>
</Reference>
<Reference>
<Citation>Koressaar T, Remm M (2007) Enhancements and modifications of primer design program Primer3. Bioinformatics 23: 1289-1291</Citation>
</Reference>
<Reference>
<Citation>Koutsakos M, Illing PT, Nguyen THO, Mifsud NA, Crawford JC, Rizzetto S, Eltahla AA, Clemens EB, Sant S, Chua BY et al (2019) Human CD8(+) T cell cross-reactivity across influenza A, B and C viruses. Nat Immunol 20: 613-625</Citation>
</Reference>
<Reference>
<Citation>Laviada-Molina HA, Leal-Berumen I, Rodriguez-Ayala E, Bastarrachea RA (2020) Working hypothesis for glucose metabolism and SARS-CoV-2 replication: interplay between the hexosamine pathway and interferon RF5 triggering hyperinflammation. Role of BCG vaccine? Front Endocrinol 11: 514</Citation>
</Reference>
<Reference>
<Citation>van der Maaten LJP, Hinton GE (2008) Visualizing data using t-SNE. J Mach Learn Res 9: 2579-2605</Citation>
</Reference>
<Reference>
<Citation>Melzer S, Zachariae S, Bocsi J, Engel C, Loffler M, Tarnok A (2015) Reference intervals for leukocyte subsets in adults: results from a population-based study using 10-color flow cytometry. Cytometry B Clin Cytom 88: 270-281</Citation>
</Reference>
<Reference>
<Citation>Menart-Houtermans B, Rutter R, Nowotny B, Rosenbauer J, Koliaki C, Kahl S, Simon MC, Szendroedi J, Schloot NC, Roden M et al (2014) Leukocyte profiles differ between type 1 and type 2 diabetes and are associated with metabolic phenotypes: results from the German Diabetes Study (GDS). Diabetes Care 37: 2326-2333</Citation>
</Reference>
<Reference>
<Citation>Merad M, Martin JC (2020) Pathological inflammation in patients with COVID-19: a key role for monocytes and macrophages. Nat Rev Immunol 20: 355-362</Citation>
</Reference>
<Reference>
<Citation>Park MD (2020) Macrophages: a Trojan horse in COVID-19? Nat Rev Immunol 20: 351</Citation>
</Reference>
<Reference>
<Citation>R Core Team (2013) R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing</Citation>
</Reference>
<Reference>
<Citation>Rogacev KS, Cremers B, Zawada AM, Seiler S, Binder N, Ege P, Grosse-Dunker G, Heisel I, Hornof F, Jeken J et al (2012) CD14++CD16+ monocytes independently predict cardiovascular events: a cohort study of 951 patients referred for elective coronary angiography. J Am Coll Cardiol 60: 1512-1520</Citation>
</Reference>
<Reference>
<Citation>Sanchez-Torres C, Garcia-Romo GS, Cornejo-Cortes MA, Rivas-Carvalho A, Sanchez-Schmitz G (2001) CD16+ and CD16− human blood monocyte subsets differentiate in vitro to dendritic cells with different abilities to stimulate CD4+ T cells. Int Immunol 13: 1571-1581</Citation>
</Reference>
<Reference>
<Citation>Tan L, Wang Q, Zhang D, Ding J, Huang Q, Tang YQ, Wang Q, Miao H (2020) Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study. Signal Transduct Target Ther 5: 33</Citation>
</Reference>
<Reference>
<Citation>Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, Rozen SG (2012) Primer3-new capabilities and interfaces. Nucleic Acids Res 40: e115</Citation>
</Reference>
<Reference>
<Citation>Vangeti S, Gertow J, Yu M, Liu S, Baharom F, Scholz S, Friberg D, Starkhammar M, Ahlberg A, Smed-Sorensen A (2019) Human bLOOD AND TONSIL PLASMACYTOID DENDRITIC CELLS DISPLAY SIMILAR GENE EXPRESSION PROFILES BUT EXHIBIT DIFFERENTIAL TYPE I IFN responses to influenza A virus infection. J Immunol 202: 2069-2081</Citation>
</Reference>
<Reference>
<Citation>Wang Q, Fang P, He R, Li M, Yu H, Zhou L, Yi Y, Wang F, Rong Y, Zhang Y et al (2020a) O-GlcNAc transferase promotes influenza A virus-induced cytokine storm by targeting interferon regulatory factor-5. Sci Adv 6: eaaz7086</Citation>
</Reference>
<Reference>
<Citation>Wang Z, Du Z, Zhu F (2020b) Glycosylated hemoglobin is associated with systemic inflammation, hypercoagulability, and prognosis of COVID-19 patients. Diabetes Res Clin Pract 164: 108214</Citation>
</Reference>
<Reference>
<Citation>Weiss M, Byrne AJ, Blazek K, Saliba DG, Pease JE, Perocheau D, Feldmann M, Udalova IA (2015) IRF5 controls both acute and chronic inflammation. Proc Natl Acad Sci USA 112: 11001-11006</Citation>
</Reference>
<Reference>
<Citation>Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, Huang H, Zhang L, Zhou X, Du C et al (2020) Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern Med 180: 1-11</Citation>
</Reference>
<Reference>
<Citation>Yang L, Feng D, Bi X, Stone RC, Barnes BJ (2012) Monocytes from Irf5-/- mice have an intrinsic defect in their response to pristane-induced lupus. J Immunol 189: 3741-3750</Citation>
</Reference>
<Reference>
<Citation>Yu YA, Malakhau Y, Yu CA, Phelan SJ, Cumming RI, Kan MJ, Mao L, Rajagopal S, Piantadosi CA, Gunn MD (2020) Nonclassical monocytes sense hypoxia, regulate pulmonary vascular remodeling, and promote pulmonary hypertension. J Immunol 204: 1474-1485</Citation>
</Reference>
<Reference>
<Citation>Zhang D, Guo R, Lei L, Liu H, Wang Y, Wang Y, Dai T, Zhang T, Lai Y, Wang J et al (2020) COVID-19 infection induces readily detectable morphological and inflammation-related phenotypic changes in peripheral blood monocytes, the severity of which correlate with patient outcome. MedRxiv https://doi.org/10.1101/2020.03.24.20042655 [PREPRINT]</Citation>
</Reference>
<Reference>
<Citation>Zheng M, Gao Y, Wang G, Song G, Liu S, Sun D, Xu Y, Tian Z (2020) Functional exhaustion of antiviral lymphocytes in COVID-19 patients. Cell Mol Immunol 17: 533-535</Citation>
</Reference>
<Reference>
<Citation>Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X et al (2020) Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 395: 1054-1062</Citation>
</Reference>
<Reference>
<Citation>Zhu L, She ZG, Cheng X, Qin JJ, Zhang XJ, Cai J, Lei F, Wang H, Xie J, Wang W et al (2020) Association of blood glucose control and outcomes in patients with COVID-19 and pre-existing type 2 diabetes. Cell Metab 31: 1068-1077</Citation>
</Reference>
</ReferenceList>
</PubmedData>
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