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Longitudinal analysis of antibody decay in convalescent COVID-19 patients.
Xia, Weiming; Li, Mingfei; Wang, Ying; Kazis, Lewis E; Berlo, Kim; Melikechi, Noureddine; Chiklis, Gregory R.
  • Xia W; Geriatric Research Education Clinical Center, Bedford VA Healthcare System, Bedford, MA, 01730, USA. weiming.xia@va.gov.
  • Li M; Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA. weiming.xia@va.gov.
  • Wang Y; Center for Healthcare Organization and Implementation Research, Bedford VA Healthcare System, Bedford, MA, USA.
  • Kazis LE; Department of Mathematical Sciences, Bentley University, Waltham, MA, USA.
  • Berlo K; Geriatric Research Education Clinical Center, Bedford VA Healthcare System, Bedford, MA, 01730, USA.
  • Melikechi N; Department of Mathematical Sciences, Bentley University, Waltham, MA, USA.
  • Chiklis GR; Center for Healthcare Organization and Implementation Research, Bedford VA Healthcare System, Bedford, MA, USA.
Sci Rep ; 11(1): 16796, 2021 08 18.
Article in English | MEDLINE | ID: covidwho-1364602
ABSTRACT
Determining the sustainability of antibodies targeting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for predicting immune response against the Coronavirus disease 2019 (COVID-19). To quantify the antibody decay rates among the varying levels of anti-nucleocapsid (anti-N) Immunoglobulin G (IgG) in convalescent COVID-19 patients and estimate the length of time they maintained SARS-CoV-2 specific antibodies, we have collected longitudinal blood samples from 943 patients over the course of seven months after their initial detection of SARS-CoV-2 virus by RT-PCR. Anti-N IgG levels were then quantified in these blood samples. The primary study outcome was the comparison of antibody decay rates from convalescent patients with high or low initial levels of antibodies using a mixed linear model. Additional measures include the length of time that patients maintain sustainable levels of anti-N IgG. Antibody quantification of blood samples donated by the same subject multiple times shows a gradual decrease of IgG levels to the cutoff index level of 1.4 signal/cut-off (S/C) on the Abbott Architect SARS-CoV-2 IgG test. In addition, this study shows that antibody reduction rate is dependent on initial IgG levels, and patients with initial IgG levels above 3 S/C show a significant 1.68-fold faster reduction rate compared to those with initial IgG levels below 3 S/C. For a majority of the donors naturally occurring anti-N antibodies were detected above the threshold for only four months after infection with SARS-CoV-2. This study is clinically important for the prediction of immune response capacity in COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Antibodies, Viral Type of study: Cohort study / Observational study / Prognostic study Limits: Female / Humans / Male Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-96171-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Antibodies, Viral Type of study: Cohort study / Observational study / Prognostic study Limits: Female / Humans / Male Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-96171-4