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Conserved longitudinal alterations of anti-S-protein IgG subclasses in disease progression in initial ancestral Wuhan and vaccine breakthrough Delta infections.
Goh, Yun Shan; Fong, Siew-Wai; Hor, Pei Xiang; Amrun, Siti Naqiah; Lee, Cheryl Yi-Pin; Young, Barnaby Edward; Chia, Po Ying; Tambyah, Paul A; Kalimuddin, Shirin; Pada, Surinder; Tan, Seow-Yen; Sun, Louisa Jin; Chen, Mark I-Cheng; Leo, Yee-Sin; Lye, David C; Ng, Lisa F P; Renia, Laurent.
  • Goh YS; ASTAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
  • Fong SW; ASTAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
  • Hor PX; ASTAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
  • Amrun SN; ASTAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
  • Lee CY; ASTAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
  • Young BE; National Centre for Infectious Diseases, Singapore, Singapore.
  • Chia PY; Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore.
  • Tambyah PA; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
  • Kalimuddin S; Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore.
  • Pada S; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
  • Tan SY; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Sun LJ; Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore.
  • Chen MI; Department of Infectious Diseases, National University Health System, Singapore, Singapore.
  • Leo YS; Department of Infectious Diseases, Singapore General Hospital, Singapore, Singapore.
  • Lye DC; Emerging Infectious Disease Program, Duke-NUS Medical School, Singapore, Singapore.
  • Ng LFP; Division of Infectious Diseases, Ng Teng Fong Hospital, Singapore, Singapore.
  • Renia L; Department of Infectious Diseases, Changi General Hospital, Singapore, Singapore.
Front Microbiol ; 13: 1043049, 2022.
Article in English | MEDLINE | ID: covidwho-2323295
ABSTRACT

Introduction:

COVID-19 has a wide disease spectrum ranging from asymptomatic to severe. While humoral immune responses are critical in preventing infection, the immune mechanisms leading to severe disease, and the identification of biomarkers of disease progression and/or resolution of the infection remains to be determined.

Methods:

Plasma samples were obtained from infections during the initial wave of ancestral wildtype SARS-CoV-2 and from vaccine breakthrough infections during the wave of Delta variant, up to six months post infection. The spike-specific antibody profiles were compared across different severity groups and timepoints.

Results:

We found an association between spike-specific IgM, IgA and IgG and disease severity in unvaccinated infected individuals. In addition to strong IgG1 and IgG3 response, patients with severe disease develop a robust IgG2 and IgG4 response. A comparison of the ratio of IgG1 and IgG3 to IgG2 and IgG4 showed that disease progression is associated with a smaller ratio in both the initial wave of WT and the vaccine breakthrough Delta infections. Time-course analysis revealed that smaller (IgG1 and IgG3)/(IgG2 and IgG4) ratio is associated with disease progression, while the reverse associates with clinical recovery.

Discussion:

While each IgG subclass is associated with disease severity, the balance within the four IgG subclasses may affect disease outcome. Acute disease progression or infection resolution is associated with a specific immunological phenotype that is conserved in both the initial wave of WT and the vaccine breakthrough Delta infections.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Vaccines / Variants Language: English Journal: Front Microbiol Year: 2022 Document Type: Article Affiliation country: Fmicb.2022.1043049

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Vaccines / Variants Language: English Journal: Front Microbiol Year: 2022 Document Type: Article Affiliation country: Fmicb.2022.1043049