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Mode of delivery modulates the intestinal microbiota and impacts the response to vaccination

Author

Listed:
  • Emma M. Koff

    (Spaarne Academy, Spaarne Gasthuis
    Wilhelmina Children’s Hospital and University Medical Centre Utrecht
    Amsterdam University Medical Centre)

  • Debbie Baarle

    (National Institute for Public Health and the Environment
    Virology and Immunology research Group, University Medical Centre Groningen)

  • Marlies A. Houten

    (Spaarne Academy, Spaarne Gasthuis
    Spaarne Gasthuis)

  • Marta Reyman

    (Wilhelmina Children’s Hospital and University Medical Centre Utrecht
    Erasmus University Medical Centre)

  • Guy A. M. Berbers

    (National Institute for Public Health and the Environment)

  • Femke Ham

    (National Institute for Public Health and the Environment)

  • Mei Ling J. N. Chu

    (Wilhelmina Children’s Hospital and University Medical Centre Utrecht
    National Institute for Public Health and the Environment)

  • Elisabeth A. M. Sanders

    (Wilhelmina Children’s Hospital and University Medical Centre Utrecht
    National Institute for Public Health and the Environment)

  • Debby Bogaert

    (Wilhelmina Children’s Hospital and University Medical Centre Utrecht
    National Institute for Public Health and the Environment
    University of Edinburgh)

  • Susana Fuentes

    (National Institute for Public Health and the Environment)

Abstract

The gut microbiota in early life, when critical immune maturation takes place, may influence the immunogenicity of childhood vaccinations. Here we assess the association between mode of delivery, gut microbiota development in the first year of life, and mucosal antigen-specific antibody responses against pneumococcal vaccination in 101 infants at age 12 months and against meningococcal vaccination in 66 infants at age 18 months. Birth by vaginal delivery is associated with higher antibody responses against both vaccines. Relative abundances of vaginal birth-associated Bifidobacterium and Escherichia coli in the first weeks of life are positively associated with anti-pneumococcal antibody responses, and relative abundance of E. coli in the same period is also positively associated with anti-meningococcal antibody responses. In this study, we show that mode of delivery-induced microbiota profiles of the gut are associated with subsequent antibody responses to routine childhood vaccines.

Suggested Citation

  • Emma M. Koff & Debbie Baarle & Marlies A. Houten & Marta Reyman & Guy A. M. Berbers & Femke Ham & Mei Ling J. N. Chu & Elisabeth A. M. Sanders & Debby Bogaert & Susana Fuentes, 2022. "Mode of delivery modulates the intestinal microbiota and impacts the response to vaccination," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34155-2
    DOI: 10.1038/s41467-022-34155-2
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    References listed on IDEAS

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    1. Ian Holmes & Keith Harris & Christopher Quince, 2012. "Dirichlet Multinomial Mixtures: Generative Models for Microbial Metagenomics," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-15, February.
    2. Hai Li & Julien P. Limenitakis & Victor Greiff & Bahtiyar Yilmaz & Olivier Schären & Camilla Urbaniak & Mirjam Zünd & Melissa A. E. Lawson & Ian D. Young & Sandra Rupp & Mathias Heikenwälder & Kathy D, 2020. "Mucosal or systemic microbiota exposures shape the B cell repertoire," Nature, Nature, vol. 584(7820), pages 274-278, August.
    3. Christopher J. Stewart & Nadim J. Ajami & Jacqueline L. O’Brien & Diane S. Hutchinson & Daniel P. Smith & Matthew C. Wong & Matthew C. Ross & Richard E. Lloyd & HarshaVardhan Doddapaneni & Ginger A. M, 2018. "Temporal development of the gut microbiome in early childhood from the TEDDY study," Nature, Nature, vol. 562(7728), pages 583-588, October.
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