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Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients.

Identifieur interne : 000099 ( 2020/Analysis ); précédent : 000098; suivant : 000100

Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients.

Auteurs : Yong Xiong [République populaire de Chine] ; Yuan Liu [République populaire de Chine] ; Liu Cao [République populaire de Chine] ; Dehe Wang [République populaire de Chine] ; Ming Guo [République populaire de Chine] ; Ao Jiang [République populaire de Chine] ; Dong Guo [République populaire de Chine] ; Wenjia Hu [République populaire de Chine] ; Jiayi Yang [République populaire de Chine] ; Zhidong Tang [République populaire de Chine] ; Honglong Wu [République populaire de Chine] ; Yongquan Lin [République populaire de Chine] ; Meiyuan Zhang [République populaire de Chine] ; Qi Zhang [République populaire de Chine] ; Mang Shi [République populaire de Chine] ; Yingle Liu [République populaire de Chine] ; Yu Zhou [République populaire de Chine] ; Ke Lan [République populaire de Chine] ; Yu Chen [République populaire de Chine]

Source :

RBID : pubmed:32228226

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English descriptors

Abstract

Circulating in China and 158 other countries and areas, the ongoing COVID-19 outbreak has caused devastating mortality and posed a great threat to public health. However, efforts to identify effectively supportive therapeutic drugs and treatments has been hampered by our limited understanding of host immune response for this fatal disease. To characterize the transcriptional signatures of host inflammatory response to SARS-CoV-2 (HCoV-19) infection, we carried out transcriptome sequencing of the RNAs isolated from the bronchoalveolar lavage fluid (BALF) and peripheral blood mononuclear cells (PBMC) specimens of COVID-19 patients. Our results reveal distinct host inflammatory cytokine profiles to SARS-CoV-2 infection in patients, and highlight the association between COVID-19 pathogenesis and excessive cytokine release such as CCL2/MCP-1, CXCL10/IP-10, CCL3/MIP-1A, and CCL4/MIP1B. Furthermore, SARS-CoV-2 induced activation of apoptosis and P53 signalling pathway in lymphocytes may be the cause of patients' lymphopenia. The transcriptome dataset of COVID-19 patients would be a valuable resource for clinical guidance on anti-inflammatory medication and understanding the molecular mechansims of host response.

DOI: 10.1080/22221751.2020.1747363
PubMed: 32228226


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pubmed:32228226

Le document en format XML

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<name sortKey="Hu, Wenjia" sort="Hu, Wenjia" uniqKey="Hu W" first="Wenjia" last="Hu">Wenjia Hu</name>
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<name sortKey="Yang, Jiayi" sort="Yang, Jiayi" uniqKey="Yang J" first="Jiayi" last="Yang">Jiayi Yang</name>
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<name sortKey="Tang, Zhidong" sort="Tang, Zhidong" uniqKey="Tang Z" first="Zhidong" last="Tang">Zhidong Tang</name>
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<placeName>
<settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
<orgName type="university">Université de Wuhan</orgName>
</affiliation>
</author>
<author>
<name sortKey="Wu, Honglong" sort="Wu, Honglong" uniqKey="Wu H" first="Honglong" last="Wu">Honglong Wu</name>
<affiliation wicri:level="3">
<nlm:affiliation>BGI PathoGenesis Pharmaceutical Technology, Shenzhen, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>BGI PathoGenesis Pharmaceutical Technology, Shenzhen</wicri:regionArea>
<placeName>
<settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Lin, Yongquan" sort="Lin, Yongquan" uniqKey="Lin Y" first="Yongquan" last="Lin">Yongquan Lin</name>
<affiliation wicri:level="3">
<nlm:affiliation>BGI PathoGenesis Pharmaceutical Technology, Shenzhen, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>BGI PathoGenesis Pharmaceutical Technology, Shenzhen</wicri:regionArea>
<placeName>
<settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Zhang, Meiyuan" sort="Zhang, Meiyuan" uniqKey="Zhang M" first="Meiyuan" last="Zhang">Meiyuan Zhang</name>
<affiliation wicri:level="3">
<nlm:affiliation>BGI PathoGenesis Pharmaceutical Technology, Shenzhen, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>BGI PathoGenesis Pharmaceutical Technology, Shenzhen</wicri:regionArea>
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<settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
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<author>
<name sortKey="Zhang, Qi" sort="Zhang, Qi" uniqKey="Zhang Q" first="Qi" last="Zhang">Qi Zhang</name>
<affiliation wicri:level="4">
<nlm:affiliation>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan</wicri:regionArea>
<placeName>
<settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
<orgName type="university">Université de Wuhan</orgName>
</affiliation>
</author>
<author>
<name sortKey="Shi, Mang" sort="Shi, Mang" uniqKey="Shi M" first="Mang" last="Shi">Mang Shi</name>
<affiliation wicri:level="3">
<nlm:affiliation>The Centre for Infection and Immunity Studies, School of Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>The Centre for Infection and Immunity Studies, School of Medicine, Sun Yat-sen University, Guangzhou</wicri:regionArea>
<placeName>
<settlement type="city">Jiangmen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Liu, Yingle" sort="Liu, Yingle" uniqKey="Liu Y" first="Yingle" last="Liu">Yingle Liu</name>
<affiliation wicri:level="4">
<nlm:affiliation>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan</wicri:regionArea>
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<settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
<orgName type="university">Université de Wuhan</orgName>
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</author>
<author>
<name sortKey="Zhou, Yu" sort="Zhou, Yu" uniqKey="Zhou Y" first="Yu" last="Zhou">Yu Zhou</name>
<affiliation wicri:level="4">
<nlm:affiliation>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan</wicri:regionArea>
<placeName>
<settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
<orgName type="university">Université de Wuhan</orgName>
</affiliation>
</author>
<author>
<name sortKey="Lan, Ke" sort="Lan, Ke" uniqKey="Lan K" first="Ke" last="Lan">Ke Lan</name>
<affiliation wicri:level="4">
<nlm:affiliation>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan</wicri:regionArea>
<placeName>
<settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
<orgName type="university">Université de Wuhan</orgName>
</affiliation>
</author>
<author>
<name sortKey="Chen, Yu" sort="Chen, Yu" uniqKey="Chen Y" first="Yu" last="Chen">Yu Chen</name>
<affiliation wicri:level="4">
<nlm:affiliation>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan</wicri:regionArea>
<placeName>
<settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
<orgName type="university">Université de Wuhan</orgName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Emerging microbes & infections</title>
<idno type="eISSN">2222-1751</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
</series>
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<keywords scheme="KwdEn" xml:lang="en">
<term>Apoptosis</term>
<term>Betacoronavirus</term>
<term>Bronchoalveolar Lavage Fluid</term>
<term>Chemokines (analysis)</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (genetics)</term>
<term>Coronavirus Infections (immunology)</term>
<term>Cytokines (analysis)</term>
<term>Humans</term>
<term>Leukocytes, Mononuclear</term>
<term>Lymphopenia</term>
<term>Pandemics</term>
<term>Pneumonia, Viral (blood)</term>
<term>Pneumonia, Viral (genetics)</term>
<term>Pneumonia, Viral (immunology)</term>
<term>RNA-Seq</term>
<term>Signal Transduction</term>
<term>Transcriptome</term>
<term>Tumor Suppressor Protein p53</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Agranulocytes</term>
<term>Apoptose</term>
<term>Chimiokines (analyse)</term>
<term>Cytokines (analyse)</term>
<term>Humains</term>
<term>Infections à coronavirus (génétique)</term>
<term>Infections à coronavirus (immunologie)</term>
<term>Infections à coronavirus (sang)</term>
<term>Liquide de lavage bronchoalvéolaire</term>
<term>Lymphopénie</term>
<term>Pandémies</term>
<term>Pneumopathie virale (génétique)</term>
<term>Pneumopathie virale (immunologie)</term>
<term>Pneumopathie virale (sang)</term>
<term>Protéine p53 suppresseur de tumeur</term>
<term>Transcriptome</term>
<term>Transduction du signal</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en">
<term>Chemokines</term>
<term>Cytokines</term>
</keywords>
<keywords scheme="MESH" qualifier="analyse" xml:lang="fr">
<term>Chimiokines</term>
<term>Cytokines</term>
</keywords>
<keywords scheme="MESH" qualifier="blood" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr">
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr">
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr">
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Apoptosis</term>
<term>Betacoronavirus</term>
<term>Bronchoalveolar Lavage Fluid</term>
<term>Humans</term>
<term>Leukocytes, Mononuclear</term>
<term>Lymphopenia</term>
<term>Pandemics</term>
<term>RNA-Seq</term>
<term>Signal Transduction</term>
<term>Transcriptome</term>
<term>Tumor Suppressor Protein p53</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Agranulocytes</term>
<term>Apoptose</term>
<term>Humains</term>
<term>Liquide de lavage bronchoalvéolaire</term>
<term>Lymphopénie</term>
<term>Pandémies</term>
<term>Protéine p53 suppresseur de tumeur</term>
<term>Transcriptome</term>
<term>Transduction du signal</term>
</keywords>
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<front>
<div type="abstract" xml:lang="en">Circulating in China and 158 other countries and areas, the ongoing COVID-19 outbreak has caused devastating mortality and posed a great threat to public health. However, efforts to identify effectively supportive therapeutic drugs and treatments has been hampered by our limited understanding of host immune response for this fatal disease. To characterize the transcriptional signatures of host inflammatory response to SARS-CoV-2 (HCoV-19) infection, we carried out transcriptome sequencing of the RNAs isolated from the bronchoalveolar lavage fluid (BALF) and peripheral blood mononuclear cells (PBMC) specimens of COVID-19 patients. Our results reveal distinct host inflammatory cytokine profiles to SARS-CoV-2 infection in patients, and highlight the association between COVID-19 pathogenesis and excessive cytokine release such as CCL2/MCP-1, CXCL10/IP-10, CCL3/MIP-1A, and CCL4/MIP1B. Furthermore, SARS-CoV-2 induced activation of apoptosis and P53 signalling pathway in lymphocytes may be the cause of patients' lymphopenia. The transcriptome dataset of COVID-19 patients would be a valuable resource for clinical guidance on anti-inflammatory medication and understanding the molecular mechansims of host response.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<region>
<li>Guangdong</li>
<li>Hubei</li>
</region>
<settlement>
<li>Jiangmen</li>
<li>Shenzhen</li>
<li>Wuhan</li>
</settlement>
<orgName>
<li>Université de Wuhan</li>
</orgName>
</list>
<tree>
<country name="République populaire de Chine">
<region name="Hubei">
<name sortKey="Xiong, Yong" sort="Xiong, Yong" uniqKey="Xiong Y" first="Yong" last="Xiong">Yong Xiong</name>
</region>
<name sortKey="Cao, Liu" sort="Cao, Liu" uniqKey="Cao L" first="Liu" last="Cao">Liu Cao</name>
<name sortKey="Chen, Yu" sort="Chen, Yu" uniqKey="Chen Y" first="Yu" last="Chen">Yu Chen</name>
<name sortKey="Guo, Dong" sort="Guo, Dong" uniqKey="Guo D" first="Dong" last="Guo">Dong Guo</name>
<name sortKey="Guo, Ming" sort="Guo, Ming" uniqKey="Guo M" first="Ming" last="Guo">Ming Guo</name>
<name sortKey="Hu, Wenjia" sort="Hu, Wenjia" uniqKey="Hu W" first="Wenjia" last="Hu">Wenjia Hu</name>
<name sortKey="Jiang, Ao" sort="Jiang, Ao" uniqKey="Jiang A" first="Ao" last="Jiang">Ao Jiang</name>
<name sortKey="Lan, Ke" sort="Lan, Ke" uniqKey="Lan K" first="Ke" last="Lan">Ke Lan</name>
<name sortKey="Lin, Yongquan" sort="Lin, Yongquan" uniqKey="Lin Y" first="Yongquan" last="Lin">Yongquan Lin</name>
<name sortKey="Liu, Yingle" sort="Liu, Yingle" uniqKey="Liu Y" first="Yingle" last="Liu">Yingle Liu</name>
<name sortKey="Liu, Yuan" sort="Liu, Yuan" uniqKey="Liu Y" first="Yuan" last="Liu">Yuan Liu</name>
<name sortKey="Shi, Mang" sort="Shi, Mang" uniqKey="Shi M" first="Mang" last="Shi">Mang Shi</name>
<name sortKey="Tang, Zhidong" sort="Tang, Zhidong" uniqKey="Tang Z" first="Zhidong" last="Tang">Zhidong Tang</name>
<name sortKey="Wang, Dehe" sort="Wang, Dehe" uniqKey="Wang D" first="Dehe" last="Wang">Dehe Wang</name>
<name sortKey="Wu, Honglong" sort="Wu, Honglong" uniqKey="Wu H" first="Honglong" last="Wu">Honglong Wu</name>
<name sortKey="Yang, Jiayi" sort="Yang, Jiayi" uniqKey="Yang J" first="Jiayi" last="Yang">Jiayi Yang</name>
<name sortKey="Zhang, Meiyuan" sort="Zhang, Meiyuan" uniqKey="Zhang M" first="Meiyuan" last="Zhang">Meiyuan Zhang</name>
<name sortKey="Zhang, Qi" sort="Zhang, Qi" uniqKey="Zhang Q" first="Qi" last="Zhang">Qi Zhang</name>
<name sortKey="Zhou, Yu" sort="Zhou, Yu" uniqKey="Zhou Y" first="Yu" last="Zhou">Yu Zhou</name>
</country>
</tree>
</affiliations>
</record>

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