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Formation and Expansion of Memory B Cells against Coronavirus in Acutely Infected COVID-19 Individuals.
Embong, A Karim; Nguyen-Contant, Phuong; Wang, Jiong; Kanagaiah, Preshetha; Chaves, Francisco A; Fitzgerald, Theresa F; Zhou, Qian; Kosoy, Gabrielle; Branche, Angela R; Miller, Benjamin L; Zand, Martin S; Sangster, Mark Y; Topham, David J.
  • Embong AK; David H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Nguyen-Contant P; ACM Global Laboratories, Rochester, NY 14624, USA.
  • Wang J; Division of Nephrology, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Kanagaiah P; David H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Chaves FA; David H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Fitzgerald TF; David H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Zhou Q; Division of Nephrology, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Kosoy G; Department of Biochemistry and Biophysics, University of Rochester, Rochester, NY 14620, USA.
  • Branche AR; Department of Medicine, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Miller BL; Department of Biochemistry and Biophysics, University of Rochester, Rochester, NY 14620, USA.
  • Zand MS; Division of Nephrology, Department of Medicine, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Sangster MY; David H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14620, USA.
  • Topham DJ; David H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14620, USA.
Pathogens ; 11(2)2022 Jan 29.
Article in English | MEDLINE | ID: covidwho-1667262
ABSTRACT
Infection with the ß-coronavirus SARS-CoV-2 typically generates strong virus-specific antibody production. Antibody responses against novel features of SARS-CoV-2 proteins require naïve B cell activation, but there is a growing appreciation that conserved regions are recognized by pre-existing memory B cells (MBCs) generated by endemic coronaviruses. The current study investigated the role of pre-existing cross-reactive coronavirus memory in the antibody response to the viral spike (S) and nucleocapsid (N) proteins following SARS-CoV-2 infection. The breadth of reactivity of circulating antibodies, plasmablasts, and MBCs was analyzed. Acutely infected subjects generated strong IgG responses to the S protein, including the novel receptor binding domain, the conserved S2 region, and to the N protein. The response included reactivity to the S of endemic ß-coronaviruses and, interestingly, to the N of an endemic α-coronavirus. Both mild and severe infection expanded IgG MBC populations reactive to the S of SARS-CoV-2 and endemic ß-coronaviruses. Avidity of S-reactive IgG antibodies and MBCs increased after infection. Overall, findings indicate that the response to the S and N of SARS-CoV-2 involves pre-existing MBC activation and adaptation to novel features of the proteins, along with the potential of imprinting to shape the response to SARS-CoV-2 infection.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Randomized controlled trials Language: English Year: 2022 Document Type: Article Affiliation country: Pathogens11020186

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Randomized controlled trials Language: English Year: 2022 Document Type: Article Affiliation country: Pathogens11020186