Serveur d'exploration MERS

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.

Increasing the translation of mouse models of MERS coronavirus pathogenesis through kinetic hematological analysis

Identifieur interne : 000525 ( Main/Exploration ); précédent : 000524; suivant : 000526

Increasing the translation of mouse models of MERS coronavirus pathogenesis through kinetic hematological analysis

Auteurs : Sarah R. Leist ; Kara L. Jensen ; Ralph S. Baric ; Timothy P. Sheahan

Source :

RBID : PMC:6655769

Descripteurs français

English descriptors

Abstract

Newly emerging viral pathogens pose a constant and unpredictable threat to human and animal health. Coronaviruses (CoVs) have a penchant for sudden emergence, as evidenced by severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome CoV (MERS-CoV) and most recently, swine acute diarrhea syndrome coronavirus (SADS-CoV). Small animal models of emerging viral pathogenesis are crucial to better understand the virus and host factors driving disease progression. However, rodent models are often criticized for their limited translatability to humans. The complete blood count is the most ordered clinical test in the United States serving as the cornerstone of clinical medicine and differential diagnosis. We recently generated a mouse model for MERS-CoV pathogenesis through the humanization of the orthologous entry receptor dipeptidyl peptidase 4 (DPP4). To increase the translatability of this model, we validated and established the use of an automated veterinary hematology analyzer (VetScan HM5) at biosafety level 3 for analysis of peripheral blood. MERS-CoV lung titer peaked 2 days post infection concurrent with lymphopenia and neutrophilia in peripheral blood, two phenomena also observed in MERS-CoV infection of humans. The fluctuations in leukocyte populations measured by Vetscan HM5 were corroborated by standard flow cytometry, thus confirming the utility of this approach. Comparing a sublethal and lethal dose of MERS-CoV in mice, analysis of daily blood draws demonstrates a dose dependent modulation of leukocytes. Major leukocyte populations were modulated before weight loss was observed. Importantly, neutrophil counts on 1dpi were predictive of disease severity with a lethal dose of MERS-CoV highlighting the predictive value of hematology in this model. Taken together, the inclusion of hematological measures in mouse models of emerging viral pathogenesis increases their translatability and should elevate the preclinical evaluation of MERS-CoV therapeutics and vaccines to better mirror the complexity of the human condition.


Url:
DOI: 10.1371/journal.pone.0220126
PubMed: 31339932
PubMed Central: 6655769


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Increasing the translation of mouse models of MERS coronavirus pathogenesis through kinetic hematological analysis</title>
<author>
<name sortKey="Leist, Sarah R" sort="Leist, Sarah R" uniqKey="Leist S" first="Sarah R." last="Leist">Sarah R. Leist</name>
<affiliation>
<nlm:aff id="aff001"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jensen, Kara L" sort="Jensen, Kara L" uniqKey="Jensen K" first="Kara L." last="Jensen">Kara L. Jensen</name>
<affiliation>
<nlm:aff id="aff001"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Baric, Ralph S" sort="Baric, Ralph S" uniqKey="Baric R" first="Ralph S." last="Baric">Ralph S. Baric</name>
<affiliation>
<nlm:aff id="aff001"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Sheahan, Timothy P" sort="Sheahan, Timothy P" uniqKey="Sheahan T" first="Timothy P." last="Sheahan">Timothy P. Sheahan</name>
<affiliation>
<nlm:aff id="aff001"></nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">31339932</idno>
<idno type="pmc">6655769</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6655769</idno>
<idno type="RBID">PMC:6655769</idno>
<idno type="doi">10.1371/journal.pone.0220126</idno>
<date when="2019">2019</date>
<idno type="wicri:Area/Pmc/Corpus">001051</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001051</idno>
<idno type="wicri:Area/Pmc/Curation">001051</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">001051</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000273</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000273</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:31339932</idno>
<idno type="wicri:Area/PubMed/Corpus">000475</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000475</idno>
<idno type="wicri:Area/PubMed/Curation">000475</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000475</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000517</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000517</idno>
<idno type="wicri:Area/Ncbi/Merge">002284</idno>
<idno type="wicri:Area/Ncbi/Curation">002284</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">002284</idno>
<idno type="wicri:Area/Main/Merge">000528</idno>
<idno type="wicri:Area/Main/Curation">000525</idno>
<idno type="wicri:Area/Main/Exploration">000525</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Increasing the translation of mouse models of MERS coronavirus pathogenesis through kinetic hematological analysis</title>
<author>
<name sortKey="Leist, Sarah R" sort="Leist, Sarah R" uniqKey="Leist S" first="Sarah R." last="Leist">Sarah R. Leist</name>
<affiliation>
<nlm:aff id="aff001"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jensen, Kara L" sort="Jensen, Kara L" uniqKey="Jensen K" first="Kara L." last="Jensen">Kara L. Jensen</name>
<affiliation>
<nlm:aff id="aff001"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Baric, Ralph S" sort="Baric, Ralph S" uniqKey="Baric R" first="Ralph S." last="Baric">Ralph S. Baric</name>
<affiliation>
<nlm:aff id="aff001"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Sheahan, Timothy P" sort="Sheahan, Timothy P" uniqKey="Sheahan T" first="Timothy P." last="Sheahan">Timothy P. Sheahan</name>
<affiliation>
<nlm:aff id="aff001"></nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">PLoS ONE</title>
<idno type="eISSN">1932-6203</idno>
<imprint>
<date when="2019">2019</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Animals</term>
<term>Biological Monitoring (methods)</term>
<term>Blood Chemical Analysis (veterinary)</term>
<term>Chlorocebus aethiops</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (pathology)</term>
<term>Coronavirus Infections (veterinary)</term>
<term>Coronavirus Infections (virology)</term>
<term>Disease Models, Animal</term>
<term>Disease Progression</term>
<term>Female</term>
<term>Hematologic Tests (veterinary)</term>
<term>Humans</term>
<term>Kinetics</term>
<term>Mice</term>
<term>Mice, Inbred C57BL</term>
<term>Middle East Respiratory Syndrome Coronavirus (isolation & purification)</term>
<term>Middle East Respiratory Syndrome Coronavirus (pathogenicity)</term>
<term>Vero Cells</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Analyse chimique du sang (médecine vétérinaire)</term>
<term>Animaux</term>
<term>Cellules Vero</term>
<term>Cinétique</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient (isolement et purification)</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient (pathogénicité)</term>
<term>Femelle</term>
<term>Humains</term>
<term>Infections à coronavirus (anatomopathologie)</term>
<term>Infections à coronavirus (médecine vétérinaire)</term>
<term>Infections à coronavirus (sang)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Modèles animaux de maladie humaine</term>
<term>Souris</term>
<term>Souris de lignée C57BL</term>
<term>Tests hématologiques (médecine vétérinaire)</term>
<term>Évolution de la maladie</term>
</keywords>
<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr">
<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="blood" xml:lang="en">
<term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en">
<term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr">
<term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Biological Monitoring</term>
</keywords>
<keywords scheme="MESH" qualifier="médecine vétérinaire" xml:lang="fr">
<term>Analyse chimique du sang</term>
<term>Infections à coronavirus</term>
<term>Tests hématologiques</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en">
<term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr">
<term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en">
<term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr">
<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="veterinary" xml:lang="en">
<term>Blood Chemical Analysis</term>
<term>Coronavirus Infections</term>
<term>Hematologic Tests</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr">
<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en">
<term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Animals</term>
<term>Chlorocebus aethiops</term>
<term>Disease Models, Animal</term>
<term>Disease Progression</term>
<term>Female</term>
<term>Humans</term>
<term>Kinetics</term>
<term>Mice</term>
<term>Mice, Inbred C57BL</term>
<term>Vero Cells</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Animaux</term>
<term>Cellules Vero</term>
<term>Cinétique</term>
<term>Femelle</term>
<term>Humains</term>
<term>Modèles animaux de maladie humaine</term>
<term>Souris</term>
<term>Souris de lignée C57BL</term>
<term>Évolution de la maladie</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Newly emerging viral pathogens pose a constant and unpredictable threat to human and animal health. Coronaviruses (CoVs) have a penchant for sudden emergence, as evidenced by severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome CoV (MERS-CoV) and most recently, swine acute diarrhea syndrome coronavirus (SADS-CoV). Small animal models of emerging viral pathogenesis are crucial to better understand the virus and host factors driving disease progression. However, rodent models are often criticized for their limited translatability to humans. The complete blood count is the most ordered clinical test in the United States serving as the cornerstone of clinical medicine and differential diagnosis. We recently generated a mouse model for MERS-CoV pathogenesis through the humanization of the orthologous entry receptor dipeptidyl peptidase 4 (DPP4). To increase the translatability of this model, we validated and established the use of an automated veterinary hematology analyzer (VetScan HM5) at biosafety level 3 for analysis of peripheral blood. MERS-CoV lung titer peaked 2 days post infection concurrent with lymphopenia and neutrophilia in peripheral blood, two phenomena also observed in MERS-CoV infection of humans. The fluctuations in leukocyte populations measured by Vetscan HM5 were corroborated by standard flow cytometry, thus confirming the utility of this approach. Comparing a sublethal and lethal dose of MERS-CoV in mice, analysis of daily blood draws demonstrates a dose dependent modulation of leukocytes. Major leukocyte populations were modulated before weight loss was observed. Importantly, neutrophil counts on 1dpi were predictive of disease severity with a lethal dose of MERS-CoV highlighting the predictive value of hematology in this model. Taken together, the inclusion of hematological measures in mouse models of emerging viral pathogenesis increases their translatability and should elevate the preclinical evaluation of MERS-CoV therapeutics and vaccines to better mirror the complexity of the human condition.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Marston, Hd" uniqKey="Marston H">HD Marston</name>
</author>
<author>
<name sortKey="Folkers, Gk" uniqKey="Folkers G">GK Folkers</name>
</author>
<author>
<name sortKey="Morens, Dm" uniqKey="Morens D">DM Morens</name>
</author>
<author>
<name sortKey="Fauci, As" uniqKey="Fauci A">AS Fauci</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="De Wit, E" uniqKey="De Wit E">E de Wit</name>
</author>
<author>
<name sortKey="Van Doremalen, N" uniqKey="Van Doremalen N">N van Doremalen</name>
</author>
<author>
<name sortKey="Falzarano, D" uniqKey="Falzarano D">D Falzarano</name>
</author>
<author>
<name sortKey="Munster, Vj" uniqKey="Munster V">VJ Munster</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hu, B" uniqKey="Hu B">B Hu</name>
</author>
<author>
<name sortKey="Ge, X" uniqKey="Ge X">X Ge</name>
</author>
<author>
<name sortKey="Wang, Lf" uniqKey="Wang L">LF Wang</name>
</author>
<author>
<name sortKey="Shi, Z" uniqKey="Shi Z">Z Shi</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yang, M" uniqKey="Yang M">M Yang</name>
</author>
<author>
<name sortKey="Ng, Mh" uniqKey="Ng M">MH Ng</name>
</author>
<author>
<name sortKey="Li, Ck" uniqKey="Li C">CK Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zaki, Am" uniqKey="Zaki A">AM Zaki</name>
</author>
<author>
<name sortKey="Van Boheemen, S" uniqKey="Van Boheemen S">S van Boheemen</name>
</author>
<author>
<name sortKey="Bestebroer, Tm" uniqKey="Bestebroer T">TM Bestebroer</name>
</author>
<author>
<name sortKey="Osterhaus, Ad" uniqKey="Osterhaus A">AD Osterhaus</name>
</author>
<author>
<name sortKey="Fouchier, Ra" uniqKey="Fouchier R">RA Fouchier</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Guery, B" uniqKey="Guery B">B Guery</name>
</author>
<author>
<name sortKey="Poissy, J" uniqKey="Poissy J">J Poissy</name>
</author>
<author>
<name sortKey="El Mansouf, L" uniqKey="El Mansouf L">L el Mansouf</name>
</author>
<author>
<name sortKey="Sejourne, C" uniqKey="Sejourne C">C Sejourne</name>
</author>
<author>
<name sortKey="Ettahar, N" uniqKey="Ettahar N">N Ettahar</name>
</author>
<author>
<name sortKey="Lemaire, X" uniqKey="Lemaire X">X Lemaire</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Assiri, A" uniqKey="Assiri A">A Assiri</name>
</author>
<author>
<name sortKey="Al Tawfiq, Ja" uniqKey="Al Tawfiq J">JA Al-Tawfiq</name>
</author>
<author>
<name sortKey="Al Rabeeah, Aa" uniqKey="Al Rabeeah A">AA Al-Rabeeah</name>
</author>
<author>
<name sortKey="Al Rabiah, Fa" uniqKey="Al Rabiah F">FA Al-Rabiah</name>
</author>
<author>
<name sortKey="Al Hajjar, S" uniqKey="Al Hajjar S">S Al-Hajjar</name>
</author>
<author>
<name sortKey="Al Barrak, A" uniqKey="Al Barrak A">A Al-Barrak</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lee, N" uniqKey="Lee N">N Lee</name>
</author>
<author>
<name sortKey="Hui, D" uniqKey="Hui D">D Hui</name>
</author>
<author>
<name sortKey="Wu, A" uniqKey="Wu A">A Wu</name>
</author>
<author>
<name sortKey="Chan, P" uniqKey="Chan P">P Chan</name>
</author>
<author>
<name sortKey="Cameron, P" uniqKey="Cameron P">P Cameron</name>
</author>
<author>
<name sortKey="Joynt, Gm" uniqKey="Joynt G">GM Joynt</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cockrell, As" uniqKey="Cockrell A">AS Cockrell</name>
</author>
<author>
<name sortKey="Yount, Bl" uniqKey="Yount B">BL Yount</name>
</author>
<author>
<name sortKey="Scobey, T" uniqKey="Scobey T">T Scobey</name>
</author>
<author>
<name sortKey="Jensen, K" uniqKey="Jensen K">K Jensen</name>
</author>
<author>
<name sortKey="Douglas, M" uniqKey="Douglas M">M Douglas</name>
</author>
<author>
<name sortKey="Beall, A" uniqKey="Beall A">A Beall</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Douglas, Mg" uniqKey="Douglas M">MG Douglas</name>
</author>
<author>
<name sortKey="Kocher, Jf" uniqKey="Kocher J">JF Kocher</name>
</author>
<author>
<name sortKey="Scobey, T" uniqKey="Scobey T">T Scobey</name>
</author>
<author>
<name sortKey="Baric, Rs" uniqKey="Baric R">RS Baric</name>
</author>
<author>
<name sortKey="Cockrell, As" uniqKey="Cockrell A">AS Cockrell</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gregoire, C" uniqKey="Gregoire C">C Gregoire</name>
</author>
<author>
<name sortKey="Chasson, L" uniqKey="Chasson L">L Chasson</name>
</author>
<author>
<name sortKey="Luci, C" uniqKey="Luci C">C Luci</name>
</author>
<author>
<name sortKey="Tomasello, E" uniqKey="Tomasello E">E Tomasello</name>
</author>
<author>
<name sortKey="Geissmann, F" uniqKey="Geissmann F">F Geissmann</name>
</author>
<author>
<name sortKey="Vivier, E" uniqKey="Vivier E">E Vivier</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Breslin, Wl" uniqKey="Breslin W">WL Breslin</name>
</author>
<author>
<name sortKey="Strohacker, K" uniqKey="Strohacker K">K Strohacker</name>
</author>
<author>
<name sortKey="Carpenter, Kc" uniqKey="Carpenter K">KC Carpenter</name>
</author>
<author>
<name sortKey="Haviland, Dl" uniqKey="Haviland D">DL Haviland</name>
</author>
<author>
<name sortKey="Mcfarlin, Bk" uniqKey="Mcfarlin B">BK McFarlin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Carlin, Lm" uniqKey="Carlin L">LM Carlin</name>
</author>
<author>
<name sortKey="Stamatiades, Eg" uniqKey="Stamatiades E">EG Stamatiades</name>
</author>
<author>
<name sortKey="Auffray, C" uniqKey="Auffray C">C Auffray</name>
</author>
<author>
<name sortKey="Hanna, Rn" uniqKey="Hanna R">RN Hanna</name>
</author>
<author>
<name sortKey="Glover, L" uniqKey="Glover L">L Glover</name>
</author>
<author>
<name sortKey="Vizcay Barrena, G" uniqKey="Vizcay Barrena G">G Vizcay-Barrena</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Altin, Jg" uniqKey="Altin J">JG Altin</name>
</author>
<author>
<name sortKey="Sloan, Ek" uniqKey="Sloan E">EK Sloan</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hoggatt, J" uniqKey="Hoggatt J">J Hoggatt</name>
</author>
<author>
<name sortKey="Hoggatt, Af" uniqKey="Hoggatt A">AF Hoggatt</name>
</author>
<author>
<name sortKey="Tate, Ta" uniqKey="Tate T">TA Tate</name>
</author>
<author>
<name sortKey="Fortman, J" uniqKey="Fortman J">J Fortman</name>
</author>
<author>
<name sortKey="Pelus, Lm" uniqKey="Pelus L">LM Pelus</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Pascal, Ke" uniqKey="Pascal K">KE Pascal</name>
</author>
<author>
<name sortKey="Coleman, Cm" uniqKey="Coleman C">CM Coleman</name>
</author>
<author>
<name sortKey="Mujica, Ao" uniqKey="Mujica A">AO Mujica</name>
</author>
<author>
<name sortKey="Kamat, V" uniqKey="Kamat V">V Kamat</name>
</author>
<author>
<name sortKey="Badithe, A" uniqKey="Badithe A">A Badithe</name>
</author>
<author>
<name sortKey="Fairhurst, J" uniqKey="Fairhurst J">J Fairhurst</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Li, K" uniqKey="Li K">K Li</name>
</author>
<author>
<name sortKey="Wohlford Lenane, Cl" uniqKey="Wohlford Lenane C">CL Wohlford-Lenane</name>
</author>
<author>
<name sortKey="Channappanavar, R" uniqKey="Channappanavar R">R Channappanavar</name>
</author>
<author>
<name sortKey="Park, Je" uniqKey="Park J">JE Park</name>
</author>
<author>
<name sortKey="Earnest, Jt" uniqKey="Earnest J">JT Earnest</name>
</author>
<author>
<name sortKey="Bair, Tb" uniqKey="Bair T">TB Bair</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Roberts, A" uniqKey="Roberts A">A Roberts</name>
</author>
<author>
<name sortKey="Deming, D" uniqKey="Deming D">D Deming</name>
</author>
<author>
<name sortKey="Paddock, Cd" uniqKey="Paddock C">CD Paddock</name>
</author>
<author>
<name sortKey="Cheng, A" uniqKey="Cheng A">A Cheng</name>
</author>
<author>
<name sortKey="Yount, B" uniqKey="Yount B">B Yount</name>
</author>
<author>
<name sortKey="Vogel, L" uniqKey="Vogel L">L Vogel</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Menachery, Vd" uniqKey="Menachery V">VD Menachery</name>
</author>
<author>
<name sortKey="Gralinski, Le" uniqKey="Gralinski L">LE Gralinski</name>
</author>
<author>
<name sortKey="Baric, Rs" uniqKey="Baric R">RS Baric</name>
</author>
<author>
<name sortKey="Ferris, Mt" uniqKey="Ferris M">MT Ferris</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list></list>
<tree>
<noCountry>
<name sortKey="Baric, Ralph S" sort="Baric, Ralph S" uniqKey="Baric R" first="Ralph S." last="Baric">Ralph S. Baric</name>
<name sortKey="Jensen, Kara L" sort="Jensen, Kara L" uniqKey="Jensen K" first="Kara L." last="Jensen">Kara L. Jensen</name>
<name sortKey="Leist, Sarah R" sort="Leist, Sarah R" uniqKey="Leist S" first="Sarah R." last="Leist">Sarah R. Leist</name>
<name sortKey="Sheahan, Timothy P" sort="Sheahan, Timothy P" uniqKey="Sheahan T" first="Timothy P." last="Sheahan">Timothy P. Sheahan</name>
</noCountry>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000525 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000525 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    MersV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     PMC:6655769
   |texte=   Increasing the translation of mouse models of MERS coronavirus pathogenesis through kinetic hematological analysis
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:31339932" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a MersV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Mon Apr 20 23:26:43 2020. Site generation: Sat Mar 27 09:06:09 2021