Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China

Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured b...

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Published inNature medicine Vol. 26; no. 8; pp. 1193 - 1195
Main Authors Xu, Xin, Sun, Jian, Nie, Sheng, Li, Huiyuan, Kong, Yaozhong, Liang, Min, Hou, Jinlin, Huang, Xianzhong, Li, Dongfeng, Ma, Tean, Peng, Jiaqing, Gao, Shikui, Shao, Yong, Zhu, Hong, Lau, Johnson Yiu-Nam, Wang, Guangyu, Xie, Chunbao, Jiang, Li, Huang, Ailong, Yang, Zhenglin, Zhang, Kang, Hou, Fan Fan
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.08.2020
Nature Publishing Group
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Abstract Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5–4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5–2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection. Initial results of serological surveillance in China provide valuable data for estimation of the cumulative prevalence of SARS-CoV-2 infection in the general population.
AbstractList Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5-4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5-2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection.
Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5–4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5–2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection. Initial results of serological surveillance in China provide valuable data for estimation of the cumulative prevalence of SARS-CoV-2 infection in the general population.
Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5-4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5-2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection. Initial results of serological surveillance in China provide valuable data for estimation of the cumulative prevalence of SARS-CoV-2 infection in the general population.
Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5-4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5-2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection.Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5-4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5-2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection.
Audience Academic
Author Li, Huiyuan
Gao, Shikui
Shao, Yong
Kong, Yaozhong
Li, Dongfeng
Yang, Zhenglin
Zhang, Kang
Zhu, Hong
Hou, Jinlin
Xu, Xin
Huang, Ailong
Wang, Guangyu
Sun, Jian
Huang, Xianzhong
Ma, Tean
Nie, Sheng
Xie, Chunbao
Hou, Fan Fan
Jiang, Li
Peng, Jiaqing
Liang, Min
Lau, Johnson Yiu-Nam
Author_xml – sequence: 1
  givenname: Xin
  orcidid: 0000-0002-6324-5211
  surname: Xu
  fullname: Xu, Xin
  organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University
– sequence: 2
  givenname: Jian
  orcidid: 0000-0001-5320-227X
  surname: Sun
  fullname: Sun, Jian
  organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University
– sequence: 3
  givenname: Sheng
  surname: Nie
  fullname: Nie, Sheng
  organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University
– sequence: 4
  givenname: Huiyuan
  surname: Li
  fullname: Li, Huiyuan
  organization: Kingmed Center for Clinical Laboratory
– sequence: 5
  givenname: Yaozhong
  surname: Kong
  fullname: Kong, Yaozhong
  organization: The First People’s Hospital of Foshan
– sequence: 6
  givenname: Min
  surname: Liang
  fullname: Liang, Min
  organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University
– sequence: 7
  givenname: Jinlin
  surname: Hou
  fullname: Hou, Jinlin
  organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University
– sequence: 8
  givenname: Xianzhong
  surname: Huang
  fullname: Huang, Xianzhong
  organization: Kingmed Center for Clinical Laboratory
– sequence: 9
  givenname: Dongfeng
  surname: Li
  fullname: Li, Dongfeng
  organization: The People’s Hospital of Honghu
– sequence: 10
  givenname: Tean
  surname: Ma
  fullname: Ma, Tean
  organization: The First People’s Hospital of Jingzhou
– sequence: 11
  givenname: Jiaqing
  surname: Peng
  fullname: Peng, Jiaqing
  organization: Jingzhou Central Hospital
– sequence: 12
  givenname: Shikui
  surname: Gao
  fullname: Gao, Shikui
  organization: Honghu Traditional Chinese Medicine Hospital
– sequence: 13
  givenname: Yong
  surname: Shao
  fullname: Shao, Yong
  organization: The Second People’s Hospital of Honghu
– sequence: 14
  givenname: Hong
  surname: Zhu
  fullname: Zhu, Hong
  organization: Nanfang Hospital, Southern Medical University
– sequence: 15
  givenname: Johnson Yiu-Nam
  surname: Lau
  fullname: Lau, Johnson Yiu-Nam
  organization: Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hung Hom
– sequence: 16
  givenname: Guangyu
  surname: Wang
  fullname: Wang, Guangyu
  organization: Department of Computer Science and Technology, Tsinghua University
– sequence: 17
  givenname: Chunbao
  surname: Xie
  fullname: Xie, Chunbao
  organization: The Sichuan Provincial Key Laboratory of Human Disease Study, Institute of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China
– sequence: 18
  givenname: Li
  surname: Jiang
  fullname: Jiang, Li
  organization: The Sichuan Provincial Key Laboratory of Human Disease Study, Institute of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China
– sequence: 19
  givenname: Ailong
  orcidid: 0000-0003-2225-9550
  surname: Huang
  fullname: Huang, Ailong
  email: ahuang1964@163.com
  organization: Key Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University
– sequence: 20
  givenname: Zhenglin
  orcidid: 0000-0002-4772-7448
  surname: Yang
  fullname: Yang, Zhenglin
  email: zliny@yahoo.com
  organization: The Sichuan Provincial Key Laboratory of Human Disease Study, Institute of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China
– sequence: 21
  givenname: Kang
  orcidid: 0000-0002-4549-1697
  surname: Zhang
  fullname: Zhang, Kang
  email: kang.zhang@gmail.com
  organization: Center for Biomedicine and Innovations, Faculty of Medicine, Macau University of Science and Technology, Guangzhou Regenerative Medicine and Health Guangdong Laboratory
– sequence: 22
  givenname: Fan Fan
  orcidid: 0000-0003-3117-7418
  surname: Hou
  fullname: Hou, Fan Fan
  email: ffhouguangzhou@163.com
  organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, Guangzhou Regenerative Medicine and Health Guangdong Laboratory
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32504052$$D View this record in MEDLINE/PubMed
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10.1056/NEJMp2000929
10.1056/NEJMoa2001017
10.1056/NEJMoa2002032
10.1038/s41591-020-0817-4
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10.1001/jama.2020.1585
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Antibodies
Antibodies, Viral - blood
Antibodies, Viral - immunology
Betacoronavirus - pathogenicity
Biomedical and Life Sciences
Biomedicine
Brief Communication
Cancer Research
China - epidemiology
Confidence intervals
Coronavirus Infections - blood
Coronavirus Infections - epidemiology
Coronavirus Infections - virology
Coronaviruses
COVID-19
Diagnosis
Female
Geographical locations
Health aspects
Health Personnel
Hemodialysis
Humans
Immunoglobulin G
Immunoglobulin G - blood
Immunoglobulin G - immunology
Immunoglobulin M
Immunoglobulin M - blood
Immunoglobulin M - immunology
Immunoglobulins
Infections
Infectious Diseases
Male
Measurement
Medical personnel
Metabolic Diseases
Methods
Middle Aged
Molecular Medicine
Neurosciences
Pandemics
Pneumonia, Viral - blood
Pneumonia, Viral - epidemiology
Pneumonia, Viral - virology
SARS-CoV-2
Sentinel health events
Serodiagnosis
Seroepidemiologic Studies
Serology
Severe acute respiratory syndrome coronavirus 2
Surveillance
Viral diseases
Title Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China
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