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Association between Gut Microbiota Composition and Long-Term Vaccine Immunogenicity following Three Doses of CoronaVac.
Zhang, Li-Na; Tan, Jing-Tong; Ng, Ho-Yu; Liao, Yun-Shi; Zhang, Rui-Qi; Chan, Kwok-Hung; Hung, Ivan Fan-Ngai; Lam, Tommy Tsan-Yuk; Cheung, Ka-Shing.
Afiliação
  • Zhang LN; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong.
  • Tan JT; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong.
  • Ng HY; School of Clinical Medicine, The University of Hong Kong, Hong Kong.
  • Liao YS; State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Hong Kong.
  • Zhang RQ; Centre for Immunology & Infection Limited, 17W Hong Kong Science & Technology Parks, Hong Kong.
  • Chan KH; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong.
  • Hung IF; Department of Microbiology, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong.
  • Lam TT; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong.
  • Cheung KS; State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Hong Kong.
Vaccines (Basel) ; 12(4)2024 Mar 27.
Article em En | MEDLINE | ID: mdl-38675747
ABSTRACT

BACKGROUND:

Neutralizing antibody level wanes with time after COVID-19 vaccination. We aimed to study the relationship between baseline gut microbiota and immunogenicity after three doses of CoronaVac.

METHODS:

This was a prospective cohort study recruiting three-dose CoronaVac recipients from two centers in Hong Kong. Blood samples were collected at baseline and one year post-first dose for virus microneutralization (vMN) assays to determine neutralization titers. The primary outcome was high immune response (defined as with vMN titer ≥ 40). Shotgun DNA metagenomic sequencing of baseline fecal samples identified potential bacterial species and metabolic pathways using Linear Discriminant Analysis Effect Size (LEfSe) analysis. Univariate and multivariable logistic regression models were used to identify high response predictors.

RESULTS:

In total, 36 subjects were recruited (median age 52.7 years [IQR 47.9-56.4]; male 14 [38.9%]), and 18 had low immune response at one year post-first dose vaccination. Eubacterium rectale (log10LDA score = 4.15, p = 0.001; relative abundance of 1.4% vs. 0, p = 0.002), Collinsella aerofaciens (log10LDA score = 3.31, p = 0.037; 0.39% vs. 0.18%, p = 0.038), and Streptococcus salivarius (log10LDA score = 2.79, p = 0.021; 0.05% vs. 0.02%, p = 0.022) were enriched in low responders. The aOR of high immune response with E. rectale, C. aerofaciens, and S. salivarius was 0.03 (95% CI 9.56 × 10-4-0.32), 0.03 (95% CI 4.47 × 10-4-0.59), and 10.19 (95% CI 0.81-323.88), respectively. S. salivarius had a positive correlation with pathways enriched in high responders like incomplete reductive TCA cycle (log10LDA score = 2.23). C. aerofaciens similarly correlated with amino acid biosynthesis-related pathways. These pathways all showed anti-inflammation functions.

CONCLUSION:

E. rectale,C. aerofaciens, and S. salivarius correlated with poorer long-term immunogenicity following three doses of CoronaVac.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Vaccines (Basel) Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Vaccines (Basel) Ano de publicação: 2024 Tipo de documento: Article