Age-associated changes in the circulating human antibody repertoire are upregulated in autoimmunity

  • Aaron Arvey
  • , Michael Rowe
  • , Joseph Barten Legutki
  • , Gang An
  • , Anantha Gollapudi
  • , Anna Lei
  • , Bill Colston
  • , Chaim Putterman
  • , David Smith
  • , Janelle Stiles
  • , Theodore Tarasow
  • , Preveen Ramamoorthy

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Background: The immune system undergoes a myriad of changes with age. While it is known that antibody-secreting plasma and long-lived memory B cells change with age, it remains unclear how the binding profile of the circulating antibody repertoire is impacted. Results: To understand humoral immunity changes with respect to age, we characterized serum antibody binding to high density peptide microarrays in a diverse cohort of 1675 donors. We discovered thousands of peptides that bind antibodies in age-dependent fashion, many of which contain di-serine motifs. Peptide binding profiles were aggregated into an "immune age"by a machine learning regression model that was highly correlated with chronological age. Applying this regression model to previously-unobserved donors, we found that a donor's predicted immune age is longitudinally consistent over years, suggesting it could be a robust long-term biomarker of humoral immune ageing. Finally, we assayed serum from donors with autoimmune disease and found a significant association between "accelerated immune ageing"and autoimmune disease activity. Conclusions: The circulating antibody repertoire has increased binding to thousands of di-serine peptide containing peptides in older donors, which can be represented as an immune age. Increased immune age is associated with autoimmune disease, acute inflammatory disease severity, and may be a broadly relevant biomarker of immune function in health, disease, and therapeutic intervention.

Original languageEnglish
Article number28
JournalImmunity and Ageing
Volume17
Issue number1
DOIs
StatePublished - 6 Oct 2020

Bibliographical note

Publisher Copyright:
© 2020 The Author(s).

Keywords

  • Antibody binding profile
  • Antibody response
  • Auto-immune disease
  • Immune age
  • Immunosenescence
  • Machine learning
  • Peptide library

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