Kinetics of SARS-CoV-2 specific IgM and IgG responses in COVID-19 patients
The emerging COVID-19 caused by SARS-CoV-2 infection poses severe challenges to global public health. Serum antibody testing is becoming one of the critical methods for the diagnosis of COVID-19 patients. We investigated IgM and IgG responses against SARS-CoV-2 nucleocapsid (N) and spike (S) protein...
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| Published in | Emerging microbes & infections Vol. 9; no. 1; pp. 940 - 948 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Taylor & Francis
01.01.2020
Taylor & Francis Ltd Taylor & Francis Group |
| Subjects | |
| Online Access | Get full text |
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| Abstract | The emerging COVID-19 caused by SARS-CoV-2 infection poses severe challenges to global public health. Serum antibody testing is becoming one of the critical methods for the diagnosis of COVID-19 patients. We investigated IgM and IgG responses against SARS-CoV-2 nucleocapsid (N) and spike (S) protein after symptom onset in the intensive care unit (ICU) and non-ICU patients. 130 blood samples from 38 COVID-19 patients were collected. The levels of IgM and IgG specific to N and S protein were detected by ELISA. A series of blood samples were collected along the disease course from the same patient, including 11 ICU patients and 27 non-ICU patients for longitudinal analysis. N and S specific IgM and IgG (N-IgM, N-IgG, S-IgM, S-IgG) in non-ICU patients increased after symptom onset. N-IgM and S-IgM in some non-ICU patients reached a peak in the second week, while N-IgG and S-IgG continued to increase in the third week. The combined detection of N and S specific IgM and IgG could identify up to 75% of SARS-CoV-2 infected patients in the first week. S-IgG was significantly higher in non-ICU patients than in ICU patients in the third week. In contrast, N-IgG was significantly higher in ICU patients than in non-ICU patients. The increase of S-IgG positively correlated with the decrease of C-reactive protein (CRP) in non-ICU patients. N and S specific IgM and IgG increased gradually after symptom onset and can be used for detection of SARS-CoV-2 infection. Analysis of the dynamics of S-IgG may help to predict prognosis. |
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| AbstractList | The emerging COVID-19 caused by SARS-CoV-2 infection poses severe challenges to global
public health. Serum antibody testing is becoming one of the critical methods for the
diagnosis of COVID-19 patients. We investigated IgM and IgG responses against SARS-CoV-2
nucleocapsid (N) and spike (S) protein after symptom onset in the intensive care unit
(ICU) and non-ICU patients. 130 blood samples from 38 COVID-19 patients were collected.
The levels of IgM and IgG specific to N and S protein were detected by ELISA. A series of
blood samples were collected along the disease course from the same patient, including 11
ICU patients and 27 non-ICU patients for longitudinal analysis. N and S specific IgM and
IgG (N-IgM, N-IgG, S-IgM, S-IgG) in non-ICU patients increased after symptom onset. N-IgM
and S-IgM in some non-ICU patients reached a peak in the second week, while N-IgG and
S-IgG continued to increase in the third week. The combined detection of N and S specific
IgM and IgG could identify up to 75% of SARS-CoV-2 infected patients in the first week.
S-IgG was significantly higher in non-ICU patients than in ICU patients in the third week.
In contrast, N-IgG was significantly higher in ICU patients than in non-ICU patients. The
increase of S-IgG positively correlated with the decrease of C-reactive protein (CRP) in
non-ICU patients. N and S specific IgM and IgG increased gradually after symptom onset and
can be used for detection of SARS-CoV-2 infection. Analysis of the dynamics of S-IgG may
help to predict prognosis. The emerging COVID-19 caused by SARS-CoV-2 infection poses severe challenges to global public health. Serum antibody testing is becoming one of the critical methods for the diagnosis of COVID-19 patients. We investigated IgM and IgG responses against SARS-CoV-2 nucleocapsid (N) and spike (S) protein after symptom onset in the intensive care unit (ICU) and non-ICU patients. 130 blood samples from 38 COVID-19 patients were collected. The levels of IgM and IgG specific to N and S protein were detected by ELISA. A series of blood samples were collected along the disease course from the same patient, including 11 ICU patients and 27 non-ICU patients for longitudinal analysis. N and S specific IgM and IgG (N-IgM, N-IgG, S-IgM, S-IgG) in non-ICU patients increased after symptom onset. N-IgM and S-IgM in some non-ICU patients reached a peak in the second week, while N-IgG and S-IgG continued to increase in the third week. The combined detection of N and S specific IgM and IgG could identify up to 75% of SARS-CoV-2 infected patients in the first week. S-IgG was significantly higher in non-ICU patients than in ICU patients in the third week. In contrast, N-IgG was significantly higher in ICU patients than in non-ICU patients. The increase of S-IgG positively correlated with the decrease of C-reactive protein (CRP) in non-ICU patients. N and S specific IgM and IgG increased gradually after symptom onset and can be used for detection of SARS-CoV-2 infection. Analysis of the dynamics of S-IgG may help to predict prognosis. The emerging COVID-19 caused by SARS-CoV-2 infection poses severe challenges to global public health. Serum antibody testing is becoming one of the critical methods for the diagnosis of COVID-19 patients. We investigated IgM and IgG responses against SARS-CoV-2 nucleocapsid (N) and spike (S) protein after symptom onset in the intensive care unit (ICU) and non-ICU patients. 130 blood samples from 38 COVID-19 patients were collected. The levels of IgM and IgG specific to N and S protein were detected by ELISA. A series of blood samples were collected along the disease course from the same patient, including 11 ICU patients and 27 non-ICU patients for longitudinal analysis. N and S specific IgM and IgG (N-IgM, N-IgG, S-IgM, S-IgG) in non-ICU patients increased after symptom onset. N-IgM and S-IgM in some non-ICU patients reached a peak in the second week, while N-IgG and S-IgG continued to increase in the third week. The combined detection of N and S specific IgM and IgG could identify up to 75% of SARS-CoV-2 infected patients in the first week. S-IgG was significantly higher in non-ICU patients than in ICU patients in the third week. In contrast, N-IgG was significantly higher in ICU patients than in non-ICU patients. The increase of S-IgG positively correlated with the decrease of C-reactive protein (CRP) in non-ICU patients. N and S specific IgM and IgG increased gradually after symptom onset and can be used for detection of SARS-CoV-2 infection. Analysis of the dynamics of S-IgG may help to predict prognosis.The emerging COVID-19 caused by SARS-CoV-2 infection poses severe challenges to global public health. Serum antibody testing is becoming one of the critical methods for the diagnosis of COVID-19 patients. We investigated IgM and IgG responses against SARS-CoV-2 nucleocapsid (N) and spike (S) protein after symptom onset in the intensive care unit (ICU) and non-ICU patients. 130 blood samples from 38 COVID-19 patients were collected. The levels of IgM and IgG specific to N and S protein were detected by ELISA. A series of blood samples were collected along the disease course from the same patient, including 11 ICU patients and 27 non-ICU patients for longitudinal analysis. N and S specific IgM and IgG (N-IgM, N-IgG, S-IgM, S-IgG) in non-ICU patients increased after symptom onset. N-IgM and S-IgM in some non-ICU patients reached a peak in the second week, while N-IgG and S-IgG continued to increase in the third week. The combined detection of N and S specific IgM and IgG could identify up to 75% of SARS-CoV-2 infected patients in the first week. S-IgG was significantly higher in non-ICU patients than in ICU patients in the third week. In contrast, N-IgG was significantly higher in ICU patients than in non-ICU patients. The increase of S-IgG positively correlated with the decrease of C-reactive protein (CRP) in non-ICU patients. N and S specific IgM and IgG increased gradually after symptom onset and can be used for detection of SARS-CoV-2 infection. Analysis of the dynamics of S-IgG may help to predict prognosis. |
| Author | Peng, Ping Niu, Xuefeng Hu, Peiyu Li, Fang Li, Pingchao Zhang, Fuchun Li, Feng Sun, Baoqing Luo, Wenting Zhong, Nanshan Feng, Liqiang Zhang, Fan Feng, Ying Mo, Xiaoneng Huang, Huimin Wang, Longyu Wang, Qian Zheng, Peiyan Liu, Xiaoqing Huang, Zhifeng Chen, Ling Chen, Zhilong Peng, Hui |
| Author_xml | – sequence: 1 givenname: Baoqing surname: Sun fullname: Sun, Baoqing organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 2 givenname: Ying surname: Feng fullname: Feng, Ying organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 3 givenname: Xiaoneng surname: Mo fullname: Mo, Xiaoneng organization: Institute of Infectious Diseases, Guangzhou Eighth people's Hospital, Guangzhou Medical University – sequence: 4 givenname: Peiyan surname: Zheng fullname: Zheng, Peiyan organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 5 givenname: Qian surname: Wang fullname: Wang, Qian organization: Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences – sequence: 6 givenname: Pingchao surname: Li fullname: Li, Pingchao organization: Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences – sequence: 7 givenname: Ping surname: Peng fullname: Peng, Ping organization: Institute of Infectious Diseases, Guangzhou Eighth people's Hospital, Guangzhou Medical University – sequence: 8 givenname: Xiaoqing surname: Liu fullname: Liu, Xiaoqing organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 9 givenname: Zhilong surname: Chen fullname: Chen, Zhilong organization: Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences – sequence: 10 givenname: Huimin surname: Huang fullname: Huang, Huimin organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 11 givenname: Fan surname: Zhang fullname: Zhang, Fan organization: Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences – sequence: 12 givenname: Wenting surname: Luo fullname: Luo, Wenting organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 13 givenname: Xuefeng surname: Niu fullname: Niu, Xuefeng organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 14 givenname: Peiyu surname: Hu fullname: Hu, Peiyu organization: Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences – sequence: 15 givenname: Longyu surname: Wang fullname: Wang, Longyu organization: Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences – sequence: 16 givenname: Hui surname: Peng fullname: Peng, Hui organization: Institute of Infectious Diseases, Guangzhou Eighth people's Hospital, Guangzhou Medical University – sequence: 17 givenname: Zhifeng surname: Huang fullname: Huang, Zhifeng organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 18 givenname: Liqiang surname: Feng fullname: Feng, Liqiang organization: Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences – sequence: 19 givenname: Feng surname: Li fullname: Li, Feng organization: Institute of Infectious Diseases, Guangzhou Eighth people's Hospital, Guangzhou Medical University – sequence: 20 givenname: Fuchun surname: Zhang fullname: Zhang, Fuchun organization: Institute of Infectious Diseases, Guangzhou Eighth people's Hospital, Guangzhou Medical University – sequence: 21 givenname: Fang surname: Li fullname: Li, Fang email: gz8hlf@126.com organization: Institute of Infectious Diseases, Guangzhou Eighth people's Hospital, Guangzhou Medical University – sequence: 22 givenname: Nanshan surname: Zhong fullname: Zhong, Nanshan email: nanshan@vip.163.com organization: State Key Laboratory of Respiratory Diseases, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University – sequence: 23 givenname: Ling surname: Chen fullname: Chen, Ling email: chen_ling@gibh.ac.cn organization: Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32357808$$D View this record in MEDLINE/PubMed |
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| Snippet | The emerging COVID-19 caused by SARS-CoV-2 infection poses severe challenges to global public health. Serum antibody testing is becoming one of the critical... The emerging COVID-19 caused by SARS-CoV-2 infection poses severe challenges to global public health. Serum antibody testing is becoming one of the critical... |
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| SubjectTerms | Aged Antibodies, Viral - blood Antibodies, Viral - immunology Betacoronavirus - immunology C-reactive protein C-Reactive Protein - analysis C-Reactive Protein - immunology Clinical Laboratory Techniques Coronavirus Infections - blood Coronavirus Infections - diagnosis Coronavirus Infections - immunology Coronavirus Nucleocapsid Proteins Coronaviruses COVID-19 COVID-19 Testing Critical Care - statistics & numerical data Female Humans IgG IgM Immunoglobulin G - blood Immunoglobulin G - immunology Immunoglobulin M - blood Immunoglobulin M - immunology Kinetics Male Middle Aged Nucleocapsid Proteins - blood Nucleocapsid Proteins - immunology Pandemics Phosphoproteins Pneumonia, Viral - blood Pneumonia, Viral - diagnosis Pneumonia, Viral - immunology Proteins SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Spike Glycoprotein, Coronavirus - blood Spike Glycoprotein, Coronavirus - immunology |
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| Title | Kinetics of SARS-CoV-2 specific IgM and IgG responses in COVID-19 patients |
| URI | https://www.tandfonline.com/doi/abs/10.1080/22221751.2020.1762515 https://www.ncbi.nlm.nih.gov/pubmed/32357808 https://www.proquest.com/docview/2508725725 https://www.proquest.com/docview/2397670023 https://pubmed.ncbi.nlm.nih.gov/PMC7273175 https://doaj.org/article/5727d45067b64930b236adfb92bf0558 |
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