PLoS ONE (Jan 2021)

Temporal development and neutralising potential of antibodies against SARS-CoV-2 in hospitalised COVID-19 patients: An observational cohort study.

  • Isa Murrell,
  • Donall Forde,
  • Wioleta Zelek,
  • Linda Tyson,
  • Lisa Chichester,
  • Nicki Palmer,
  • Rachel Jones,
  • B Paul Morgan,
  • Catherine Moore

DOI
https://doi.org/10.1371/journal.pone.0245382
Journal volume & issue
Vol. 16, no. 1
p. e0245382

Abstract

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Antibody responses are important in the control of viral respiratory infection in the human host. What is not clear for SARS-CoV-2 is how rapidly this response occurs, or when antibodies with protective capability evolve. Hence, defining the events of SARS-CoV-2 seroconversion and the time frame for the development of antibodies with protective potential may help to explain the different clinical presentations of COVID-19. Furthermore, accurate descriptions of seroconversion are needed to inform the best use of serological assays for diagnostic testing and serosurveillance studies. Here, we describe the humoral responses in a cohort of hospitalised COVID-19 patients (n = 19) shortly following the onset of symptoms. Commercial and 'in-house' serological assays were used to measure IgG antibodies against different SARS-CoV-2 structural antigens-Spike (S) S1 sub-unit and Nucleocapsid protein (NP)-and to assess the potential for virus neutralisation mediated specifically by inhibition of binding between the viral attachment protein (S protein) and cognate receptor (ACE-2). Antibody response kinetics varied amongst the cohort, with patients seroconverting within 1 week, between 1-2 weeks, or after 2 weeks, following symptom onset. Anti-NP IgG responses were generally detected earlier, but reached maximum levels slower, than anti-S1 IgG responses. The earliest IgG antibodies produced by all patients included those that recognised the S protein receptor-binding domain (RBD) and were capable of inhibiting binding to ACE-2. These data revealed events and patterns of SARS-CoV-2 seroconversion that may be important predictors of the outcome of infection and guide the delivery of clinical services in the COVID-19 response.