Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Temporal development of T cell receptor repertoires during childhood in health and disease
Angela M. Mitchell, Erin E. Baschal, Kristen A. McDaniel, Kimber M. Simmons, Laura Pyle, Kathleen Waugh, Andrea K. Steck, Liping Yu, Peter A. Gottlieb, Marian J. Rewers, Maki Nakayama, Aaron W. Michels
Angela M. Mitchell, Erin E. Baschal, Kristen A. McDaniel, Kimber M. Simmons, Laura Pyle, Kathleen Waugh, Andrea K. Steck, Liping Yu, Peter A. Gottlieb, Marian J. Rewers, Maki Nakayama, Aaron W. Michels
View: Text | PDF
Research Article Immunology

Temporal development of T cell receptor repertoires during childhood in health and disease

  • Text
  • PDF
Abstract

T cell receptor (TCR) sequences are exceptionally diverse and can now be comprehensively measured with next-generation sequencing technologies. However, a thorough investigation of longitudinal TCR repertoires throughout childhood in health and during development of a common childhood disease, type 1 diabetes (T1D), has not been undertaken. Here, we deep sequenced the TCR-β chain repertoires from longitudinal peripheral blood DNA samples at 4 time points beginning early in life (median age of 1.4 years) from children who progressed to T1D (n = 29) and age/sex-matched islet autoantibody-negative controls (n = 25). From 53 million TCR-β sequences, we show that the repertoire is extraordinarily diverse early in life and narrows with age independently of disease. We demonstrate the ability to identify specific TCR sequences, including those known to recognize influenza A and, separately, those specific for insulin and its precursor, preproinsulin. Insulin-reactive TCR-β sequences were more common and frequent in number as the disease progressed in those who developed T1D compared with genetically at risk nondiabetic children, and this was not the case for influenza-reactive sequences. As an independent validation, we sequenced and analyzed TCR-β repertoires from a cohort of new-onset T1D patients (n = 143), identifying the same preproinsulin-reactive TCRs. These results demonstrate an enrichment of preproinsulin-reactive TCR sequences during the progression to T1D, highlighting the importance of using disease-relevant TCR sequences as powerful biomarkers in autoimmune disorders.

Authors

Angela M. Mitchell, Erin E. Baschal, Kristen A. McDaniel, Kimber M. Simmons, Laura Pyle, Kathleen Waugh, Andrea K. Steck, Liping Yu, Peter A. Gottlieb, Marian J. Rewers, Maki Nakayama, Aaron W. Michels

×

Figure 3

Presence of influenza-reactive TCR-β chain sequences correlates with increasing age.

Options: View larger image (or click on image) Download as PowerPoint
Presence of influenza-reactive TCR-β chain sequences correlates with inc...
All TCR-β chain templates across individuals and time points were searched for the presence of 6 known influenza-responsive TCR-β chains (identical V, J, and CDR3 amino acid sequences), with 3 sequences identified in our data set. (A) Bar graphs showing influenza TCR-β chain template numbers in controls (blue) and cases (red) at the 4 time points. Time points in cases: 1, early in life; 2, before islet autoantibody positivity; 3, after islet autoantibody positivity; and 4, visit prior to clinical T1D diagnosis. Controls were age matched to cases at each time point. (B) Scatterplots of influenza TCR-β chain template numbers relative to age (years) for all samples (black, left), controls (blue, middle), and cases (red, right). P values were calculated using linear regression for template number versus age.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts