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Dynamics and significance of the antibody response to SARS-CoV-2 infection.
Iyer, Anita S; Jones, Forrest K; Nodoushani, Ariana; Kelly, Meagan; Becker, Margaret; Slater, Damien; Mills, Rachel; Teng, Erica; Kamruzzaman, Mohammad; Garcia-Beltran, Wilfredo F; Astudillo, Michael; Yang, Diane; Miller, Tyler E; Oliver, Elizabeth; Fischinger, Stephanie; Atyeo, Caroline; Iafrate, A John; Calderwood, Stephen B; Lauer, Stephen A; Yu, Jingyou; Li, Zhenfeng; Feldman, Jared; Hauser, Blake M; Caradonna, Timothy M; Branda, John A; Turbett, Sarah E; LaRocque, Regina C; Mellon, Guillaume; Barouch, Dan H; Schmidt, Aaron G; Azman, Andrew S; Alter, Galit; Ryan, Edward T; Harris, Jason B; Charles, Richelle C.
  • Iyer AS; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Jones FK; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Nodoushani A; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Kelly M; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Becker M; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Slater D; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Mills R; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Teng E; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Kamruzzaman M; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Garcia-Beltran WF; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Astudillo M; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
  • Yang D; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
  • Miller TE; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
  • Oliver E; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
  • Fischinger S; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Atyeo C; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
  • Iafrate AJ; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
  • Calderwood SB; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
  • Lauer SA; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Yu J; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Li Z; Department of Microbiology, Harvard Medical School, Boston, MA, USA.
  • Feldman J; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Hauser BM; Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Caradonna TM; Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Branda JA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
  • Turbett SE; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
  • LaRocque RC; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
  • Mellon G; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
  • Barouch DH; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Schmidt AG; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Azman AS; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
  • Alter G; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Ryan ET; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Harris JB; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Charles RC; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
medRxiv ; 2020 Jul 20.
Article in English | MEDLINE | ID: covidwho-915962
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT

BACKGROUND:

Characterizing the humoral immune response to SARS-CoV-2 and developing accurate serologic assays are needed for diagnostic purposes and estimating population-level seroprevalence.

METHODS:

We measured the kinetics of early antibody responses to the receptor-binding domain (RBD) of the spike (S) protein of SARS-CoV-2 in a cohort of 259 symptomatic North American patients infected with SARS-CoV-2 (up to 75 days after symptom onset) compared to antibody levels in 1548 individuals whose blood samples were obtained prior to the pandemic.

RESULTS:

Between 14-28 days from onset of symptoms, IgG, IgA, or IgM antibody responses to RBD were all accurate in identifying recently infected individuals, with 100% specificity and a sensitivity of 97%, 91%, and 81% respectively. Although the estimated median time to becoming seropositive was similar across isotypes, IgA and IgM antibodies against RBD were short-lived with most individuals estimated to become seronegative again by 51 and 47 days after symptom onset, respectively. IgG antibodies against RBD lasted longer and persisted through 75 days post-symptoms. IgG antibodies to SARS-CoV-2 RBD were highly correlated with neutralizing antibodies targeting the S protein. No cross-reactivity of the SARS-CoV-2 RBD-targeted antibodies was observed with several known circulating coronaviruses, HKU1, OC 229 E, OC43, and NL63.

CONCLUSIONS:

Among symptomatic SARS-CoV-2 cases, RBD-targeted antibodies can be indicative of previous and recent infection. IgG antibodies are correlated with neutralizing antibodies and are possibly a correlate of protective immunity.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Year: 2020 Document Type: Article Affiliation country: 2020.07.18.20155374

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Year: 2020 Document Type: Article Affiliation country: 2020.07.18.20155374