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Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury

Identifieur interne : 000323 ( Pmc/Corpus ); précédent : 000322; suivant : 000324

Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury

Auteurs : Yingxia Liu ; Yang Yang ; Cong Zhang ; Fengming Huang ; Fuxiang Wang ; Jing Yuan ; Zhaoqin Wang ; Jinxiu Li ; Jianming Li ; Cheng Feng ; Zheng Zhang ; Lifei Wang ; Ling Peng ; Li Chen ; Yuhao Qin ; Dandan Zhao ; Shuguang Tan ; Lu Yin ; Jun Xu ; Congzhao Zhou ; Chengyu Jiang ; Lei Liu

Source :

RBID : PMC:7088566

Abstract

The outbreak of the 2019-nCoV infection began in December 2019 in Wuhan, Hubei province, and rapidly spread to many provinces in China as well as other countries. Here we report the epidemiological, clinical, laboratory, and radiological characteristics, as well as potential biomarkers for predicting disease severity in 2019-nCoV-infected patients in Shenzhen, China. All 12 cases of the 2019-nCoV-infected patients developed pneumonia and half of them developed acute respiratory distress syndrome (ARDS). The most common laboratory abnormalities were hypoalbuminemia, lymphopenia, decreased percentage of lymphocytes (LYM) and neutrophils (NEU), elevated C-reactive protein (CRP) and lactate dehydrogenase (LDH), and decreased CD8 count. The viral load of 2019-nCoV detected from patient respiratory tracts was positively linked to lung disease severity. ALB, LYM, LYM (%), LDH, NEU (%), and CRP were highly correlated to the acute lung injury. Age, viral load, lung injury score, and blood biochemistry indexes, albumin (ALB), CRP, LDH, LYM (%), LYM, and NEU (%), may be predictors of disease severity. Moreover, the Angiotensin II level in the plasma sample from 2019-nCoV infected patients was markedly elevated and linearly associated to viral load and lung injury. Our results suggest a number of potential diagnosis biomarkers and angiotensin receptor blocker (ARB) drugs for potential repurposing treatment of 2019-nCoV infection.

Electronic Supplementary Material

Supplementary material is available for this article at 10.1007/s11427-020-1643-8 and is accessible for authorized users.


Url:
DOI: 10.1007/s11427-020-1643-8
PubMed: 32048163
PubMed Central: 7088566

Links to Exploration step

PMC:7088566

Le document en format XML

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Shenzhen, 518112 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wang, Lifei" sort="Wang, Lifei" uniqKey="Wang L" first="Lifei" last="Wang">Lifei Wang</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.410741.7</institution-id>
<institution>Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease,</institution>
<institution>Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology,</institution>
</institution-wrap>
Shenzhen, 518112 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Peng, Ling" sort="Peng, Ling" uniqKey="Peng L" first="Ling" last="Peng">Ling Peng</name>
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<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.410741.7</institution-id>
<institution>Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease,</institution>
<institution>Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology,</institution>
</institution-wrap>
Shenzhen, 518112 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Li" sort="Chen, Li" uniqKey="Chen L" first="Li" last="Chen">Li Chen</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.410741.7</institution-id>
<institution>Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease,</institution>
<institution>Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology,</institution>
</institution-wrap>
Shenzhen, 518112 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Qin, Yuhao" sort="Qin, Yuhao" uniqKey="Qin Y" first="Yuhao" last="Qin">Yuhao Qin</name>
<affiliation>
<nlm:aff id="Aff3">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.12527.33</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0662 3178</institution-id>
<institution>State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry,</institution>
<institution>Peking Union Medical College,</institution>
</institution-wrap>
Beijing, 100005 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhao, Dandan" sort="Zhao, Dandan" uniqKey="Zhao D" first="Dandan" last="Zhao">Dandan Zhao</name>
<affiliation>
<nlm:aff id="Aff3">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.12527.33</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0662 3178</institution-id>
<institution>State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry,</institution>
<institution>Peking Union Medical College,</institution>
</institution-wrap>
Beijing, 100005 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Tan, Shuguang" sort="Tan, Shuguang" uniqKey="Tan S" first="Shuguang" last="Tan">Shuguang Tan</name>
<affiliation>
<nlm:aff id="Aff4">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.9227.e</institution-id>
<institution-id institution-id-type="ISNI">0000000119573309</institution-id>
<institution>Institute of Microbiology,</institution>
<institution>Chinese Academy of Sciences,</institution>
</institution-wrap>
Beijing, 100101 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Yin, Lu" sort="Yin, Lu" uniqKey="Yin L" first="Lu" last="Yin">Lu Yin</name>
<affiliation>
<nlm:aff id="Aff5">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.413106.1</institution-id>
<institution-id institution-id-type="ISNI">0000 0000 9889 6335</institution-id>
<institution>Emergence Department Peking Union Medical College Hospital,</institution>
</institution-wrap>
Beijing, 100731 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Xu, Jun" sort="Xu, Jun" uniqKey="Xu J" first="Jun" last="Xu">Jun Xu</name>
<affiliation>
<nlm:aff id="Aff5">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.413106.1</institution-id>
<institution-id institution-id-type="ISNI">0000 0000 9889 6335</institution-id>
<institution>Emergence Department Peking Union Medical College Hospital,</institution>
</institution-wrap>
Beijing, 100731 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhou, Congzhao" sort="Zhou, Congzhao" uniqKey="Zhou C" first="Congzhao" last="Zhou">Congzhao Zhou</name>
<affiliation>
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.59053.3a</institution-id>
<institution-id institution-id-type="ISNI">0000000121679639</institution-id>
<institution>Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences,</institution>
<institution>University of Science and Technology of China,</institution>
</institution-wrap>
Hefei, 230027 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jiang, Chengyu" sort="Jiang, Chengyu" uniqKey="Jiang C" first="Chengyu" last="Jiang">Chengyu Jiang</name>
<affiliation>
<nlm:aff id="Aff3">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.12527.33</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0662 3178</institution-id>
<institution>State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry,</institution>
<institution>Peking Union Medical College,</institution>
</institution-wrap>
Beijing, 100005 China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Liu, Lei" sort="Liu, Lei" uniqKey="Liu L" first="Lei" last="Liu">Lei Liu</name>
<affiliation>
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.410741.7</institution-id>
<institution>Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease,</institution>
<institution>Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology,</institution>
</institution-wrap>
Shenzhen, 518112 China</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Science China. Life Sciences</title>
<idno type="ISSN">1674-7305</idno>
<idno type="eISSN">1869-1889</idno>
<imprint>
<date when="2020">2020</date>
</imprint>
</series>
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<textClass></textClass>
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</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>The outbreak of the 2019-nCoV infection began in December 2019 in Wuhan, Hubei province, and rapidly spread to many provinces in China as well as other countries. Here we report the epidemiological, clinical, laboratory, and radiological characteristics, as well as potential biomarkers for predicting disease severity in 2019-nCoV-infected patients in Shenzhen, China. All 12 cases of the 2019-nCoV-infected patients developed pneumonia and half of them developed acute respiratory distress syndrome (ARDS). The most common laboratory abnormalities were hypoalbuminemia, lymphopenia, decreased percentage of lymphocytes (LYM) and neutrophils (NEU), elevated C-reactive protein (CRP) and lactate dehydrogenase (LDH), and decreased CD8 count. The viral load of 2019-nCoV detected from patient respiratory tracts was positively linked to lung disease severity. ALB, LYM, LYM (%), LDH, NEU (%), and CRP were highly correlated to the acute lung injury. Age, viral load, lung injury score, and blood biochemistry indexes, albumin (ALB), CRP, LDH, LYM (%), LYM, and NEU (%), may be predictors of disease severity. Moreover, the Angiotensin II level in the plasma sample from 2019-nCoV infected patients was markedly elevated and linearly associated to viral load and lung injury. Our results suggest a number of potential diagnosis biomarkers and angiotensin receptor blocker (ARB) drugs for potential repurposing treatment of 2019-nCoV infection.</p>
<sec>
<title>Electronic Supplementary Material</title>
<p>Supplementary material is available for this article at 10.1007/s11427-020-1643-8 and is accessible for authorized users.</p>
</sec>
</div>
</front>
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<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Sci China Life Sci</journal-id>
<journal-id journal-id-type="iso-abbrev">Sci China Life Sci</journal-id>
<journal-title-group>
<journal-title>Science China. Life Sciences</journal-title>
</journal-title-group>
<issn pub-type="ppub">1674-7305</issn>
<issn pub-type="epub">1869-1889</issn>
<publisher>
<publisher-name>Science China Press</publisher-name>
<publisher-loc>Beijing</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">32048163</article-id>
<article-id pub-id-type="pmc">7088566</article-id>
<article-id pub-id-type="publisher-id">1643</article-id>
<article-id pub-id-type="doi">10.1007/s11427-020-1643-8</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Yingxia</given-names>
</name>
<address>
<email>yingxialiu@hotmail.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yang</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Cong</given-names>
</name>
<xref ref-type="aff" rid="Aff2">2</xref>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Huang</surname>
<given-names>Fengming</given-names>
</name>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Fuxiang</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Zhaoqin</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jinxiu</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jianming</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feng</surname>
<given-names>Cheng</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lifei</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Peng</surname>
<given-names>Ling</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qin</surname>
<given-names>Yuhao</given-names>
</name>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Dandan</given-names>
</name>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tan</surname>
<given-names>Shuguang</given-names>
</name>
<xref ref-type="aff" rid="Aff4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yin</surname>
<given-names>Lu</given-names>
</name>
<xref ref-type="aff" rid="Aff5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="Aff5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Congzhao</given-names>
</name>
<xref ref-type="aff" rid="Aff2">2</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jiang</surname>
<given-names>Chengyu</given-names>
</name>
<address>
<email>jiang@pumc.edu.cn</email>
</address>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Lei</given-names>
</name>
<address>
<email>liulei3322@aliyun.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<aff id="Aff1">
<label>1</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.410741.7</institution-id>
<institution>Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease,</institution>
<institution>Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology,</institution>
</institution-wrap>
Shenzhen, 518112 China</aff>
<aff id="Aff2">
<label>2</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.59053.3a</institution-id>
<institution-id institution-id-type="ISNI">0000000121679639</institution-id>
<institution>Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences,</institution>
<institution>University of Science and Technology of China,</institution>
</institution-wrap>
Hefei, 230027 China</aff>
<aff id="Aff3">
<label>3</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.12527.33</institution-id>
<institution-id institution-id-type="ISNI">0000 0001 0662 3178</institution-id>
<institution>State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry,</institution>
<institution>Peking Union Medical College,</institution>
</institution-wrap>
Beijing, 100005 China</aff>
<aff id="Aff4">
<label>4</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.9227.e</institution-id>
<institution-id institution-id-type="ISNI">0000000119573309</institution-id>
<institution>Institute of Microbiology,</institution>
<institution>Chinese Academy of Sciences,</institution>
</institution-wrap>
Beijing, 100101 China</aff>
<aff id="Aff5">
<label>5</label>
<institution-wrap>
<institution-id institution-id-type="GRID">grid.413106.1</institution-id>
<institution-id institution-id-type="ISNI">0000 0000 9889 6335</institution-id>
<institution>Emergence Department Peking Union Medical College Hospital,</institution>
</institution-wrap>
Beijing, 100731 China</aff>
</contrib-group>
<pub-date pub-type="epub">
<day>9</day>
<month>2</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="ppub">
<year>2020</year>
</pub-date>
<volume>63</volume>
<issue>3</issue>
<fpage>364</fpage>
<lpage>374</lpage>
<history>
<date date-type="received">
<day>5</day>
<month>2</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>8</day>
<month>2</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020</copyright-statement>
<license>
<license-p>This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.</license-p>
</license>
</permissions>
<abstract id="Abs1">
<p>The outbreak of the 2019-nCoV infection began in December 2019 in Wuhan, Hubei province, and rapidly spread to many provinces in China as well as other countries. Here we report the epidemiological, clinical, laboratory, and radiological characteristics, as well as potential biomarkers for predicting disease severity in 2019-nCoV-infected patients in Shenzhen, China. All 12 cases of the 2019-nCoV-infected patients developed pneumonia and half of them developed acute respiratory distress syndrome (ARDS). The most common laboratory abnormalities were hypoalbuminemia, lymphopenia, decreased percentage of lymphocytes (LYM) and neutrophils (NEU), elevated C-reactive protein (CRP) and lactate dehydrogenase (LDH), and decreased CD8 count. The viral load of 2019-nCoV detected from patient respiratory tracts was positively linked to lung disease severity. ALB, LYM, LYM (%), LDH, NEU (%), and CRP were highly correlated to the acute lung injury. Age, viral load, lung injury score, and blood biochemistry indexes, albumin (ALB), CRP, LDH, LYM (%), LYM, and NEU (%), may be predictors of disease severity. Moreover, the Angiotensin II level in the plasma sample from 2019-nCoV infected patients was markedly elevated and linearly associated to viral load and lung injury. Our results suggest a number of potential diagnosis biomarkers and angiotensin receptor blocker (ARB) drugs for potential repurposing treatment of 2019-nCoV infection.</p>
<sec>
<title>Electronic Supplementary Material</title>
<p>Supplementary material is available for this article at 10.1007/s11427-020-1643-8 and is accessible for authorized users.</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<title>Keywords</title>
<kwd>2019-nCoV</kwd>
<kwd>Angiotensin II</kwd>
<kwd>ARDS</kwd>
</kwd-group>
<custom-meta-group>
<custom-meta>
<meta-name>issue-copyright-statement</meta-name>
<meta-value>© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="supplementary-material">
<title>Electronic supplementary material</title>
<sec id="Sec1">
<p>
<supplementary-material content-type="local-data" id="MOESM1">
<media xlink:href="11427_2020_1643_MOESM1_ESM.pdf">
<caption>
<p>Supplementary material, approximately 4.58 MB.</p>
</caption>
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</p>
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<back>
<fn-group>
<fn>
<p>Contributed equally to this work</p>
</fn>
</fn-group>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank a scientist who insists on being anonymous. The authors would also like to thank Shunwang Li and Xiaoyun Li who helped data analysis and making figures and tables. This work was supported by the National Science and Technology Major Project (2017ZX10103011 and 2017ZX10204401), Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (2017-I2M-1-009), Shenzhen Science and Technology Research and Development Project (JCYJ20180504165549581 and JCYJ20170413141236903), China Postdoctoral Science Foundation (2019T120147).</p>
</ack>
<notes notes-type="COI-statement">
<p>
<bold>Compliance and ethics</bold>
The author(s) declare that they have no conflict of interest.</p>
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