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The Dynamic Changes of Antibodies against SARS-CoV-2 during the Infection and Recovery of COVID-19
Kening Li; Min Wu; Bin Huang; Aifang Zhong; Lu Li; Yun Cai; Lingxiang Wu; Mengyan Zhu; Jie Li; Ziyu Wang; Wei Wu; Wanlin Li; Bakwatanisa Bosco; Zhenhua Gan; Zhihua Wang; Qinghua Qiao; Jian Wu; qianghu wang; Shukui Wang; Xinyi Xia.
Afiliação
  • Kening Li; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Min Wu; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Bin Huang; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Aifang Zhong; Medical Technical Support Division, the 904th Hospital, Changzhou, Jiangsu 213003, China
  • Lu Li; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Yun Cai; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Lingxiang Wu; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Mengyan Zhu; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Jie Li; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Ziyu Wang; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Wei Wu; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Wanlin Li; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Bakwatanisa Bosco; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Zhenhua Gan; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Zhihua Wang; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
  • Qinghua Qiao; Medical and Technical Support Department, Pingdingshan Medical District, the 989th Hospital of Joint Logistic Support Force, Pingdingshan, Henan, 467000, China
  • Jian Wu; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
  • qianghu wang; Nanjing medical university
  • Shukui Wang; Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210006, China
  • Xinyi Xia; Joint Expert Group for COVID-19, Wuhan Huoshenshan Hospital, Wuhan, Hubei 430100, China
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20105155
ABSTRACT
Deciphering the dynamic changes of antibodies against SARS-CoV-2 is essential for understanding the immune response in COVID-19 patients. By comprehensively analyzing the laboratory findings of 1,850 patients, we describe the dynamic changes of the total antibody, spike protein (S)-, receptor-binding domain (RBD)-, and nucleoprotein (N)- specific IgM and IgG levels during SARS-CoV-2 infection and recovery. Our results indicate that the S-, RBD-, and N- specific IgG generation of severe/critical COVID-19 patients is one week later than mild/moderate cases, while the levels of these antibodies are 1.5-fold higher in severe/critical patients during hospitalization (P<0.01). The decrease of these IgG levels indicates the poor outcome of severe/critical patients. The RBD- and S-specific IgG levels are 2-fold higher in virus-free patients (P<0.05). Notably, we found that the patients who got re-infected had a low level of protective antibody on discharge. Therefore, our evidence proves that the dynamic changes of antibodies could provide an important reference for diagnosis, monitoring, and treatment, and shed new light on the precise management of COVID-19.
Licença
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Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint