Maternal Antibodies Inhibit Neonatal and Infant Responses to Vaccination by Shaping the Early-Life B Cell Repertoire within Germinal Centers

Research output: Contribution to journalJournal articleResearchpeer-review

  • Maria Vono
  • Christiane Sigrid Eberhardt
  • Floriane Auderset
  • Beatris Mastelic-Gavillet
  • Sylvain Lemeille
  • Dennis Christensen
  • Andersen, Peter
  • Paul Henri Lambert
  • Claire Anne Siegrist

Maternal antibodies (MatAbs) protect offspring from infections but limit their responses to vaccination. The mechanisms of this inhibition are still debated. Using murine early-life immunization models mimicking the condition prevailing in humans, we observed the induction of CD4-T, T follicular helper, and germinal center (GC) B cell responses even when early-life antibody responses were abrogated by MatAbs. GC B cells induced in the presence of MatAbs form GC structures and exhibit canonical GC changes in gene expression but fail to differentiate into plasma cells and/or memory B cells in a MatAb titer-dependent manner. Furthermore, GC B cells elicited in the presence or absence of MatAbs use different VH and Vk genes and show differences in genes associated with B cell differentiation and isotype switching. Thus, MatAbs do not prevent B cell activation but control the output of the GC reaction both quantitatively and qualitatively, shaping the antigen-specific B cell repertoire. Maternal antibodies (MatAbs) protect offspring from infections but limit their vaccine responses through still poorly known mechanisms. Vono et al. report that MatAbs do not prevent B cell activation or germinal center formation but control plasma cell and memory B cell differentiation, shaping the long-term antigen-specific B cell repertoire.

Original languageEnglish
JournalCell Reports
Volume28
Issue number7
Pages (from-to)1773-1784.e5
ISSN2211-1247
DOIs
Publication statusPublished - 2019

    Research areas

  • epitope masking, germinal centers, immunization, maternal antibodies, neonates, repertoire

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 226877322