Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • 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
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

T cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibodies and disease severity
Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Jim Boonyaratanakornkit, Anna Wald, Stacy Selke, Mark H. Wener, Chihiro Morishima, Alexander L. Greninger, Michael Gale Jr., Tien-Ying Hsiang, Lichen Jing, Michael R. Holbrook, Ian M. Kaplan, H. Jabran Zahid, Damon H. May, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S. Robins, David M. Koelle
Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Jim Boonyaratanakornkit, Anna Wald, Stacy Selke, Mark H. Wener, Chihiro Morishima, Alexander L. Greninger, Michael Gale Jr., Tien-Ying Hsiang, Lichen Jing, Michael R. Holbrook, Ian M. Kaplan, H. Jabran Zahid, Damon H. May, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S. Robins, David M. Koelle
View: Text | PDF
Clinical Research and Public Health COVID-19 Infectious disease

T cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibodies and disease severity

  • Text
  • PDF
Abstract

BACKGROUND Measuring the immune response to SARS-CoV-2 enables assessment of past infection and protective immunity. SARS-CoV-2 infection induces humoral and T cell responses, but these responses vary with disease severity and individual characteristics.METHODS A T cell receptor (TCR) immunosequencing assay was conducted using small-volume blood samples from 302 individuals recovered from COVID-19. Correlations between the magnitude of the T cell response and neutralizing antibody (nAb) titers or indicators of disease severity were evaluated. Sensitivity of T cell testing was assessed and compared with serologic testing.RESULTS SARS-CoV-2–specific T cell responses were significantly correlated with nAb titers and clinical indicators of disease severity, including hospitalization, fever, and difficulty breathing. Despite modest declines in depth and breadth of T cell responses during convalescence, high sensitivity was observed until at least 6 months after infection, with overall sensitivity ~5% greater than serology tests for identifying prior SARS-CoV-2 infection. Improved performance of T cell testing was most apparent in recovered, nonhospitalized individuals sampled > 150 days after initial illness, suggesting greater sensitivity than serology at later time points and in individuals with less severe disease. T cell testing identified SARS-CoV-2 infection in 68% (55 of 81) of samples with undetectable nAb titers (<1:40) and in 37% (13 of 35) of samples classified as negative by 3 antibody assays.CONCLUSION These results support TCR-based testing as a scalable, reliable measure of past SARS-CoV-2 infection with clinical value beyond serology.TRIAL REGISTRATION Specimens were accrued under trial NCT04338360 accessible at clinicaltrials.gov.FUNDING This work was funded by Adaptive Biotechnologies, Frederick National Laboratory for Cancer Research, NIAID, Fred Hutchinson Joel Meyers Endowment, Fast Grants, and American Society for Transplantation and Cell Therapy.

Authors

Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Jim Boonyaratanakornkit, Anna Wald, Stacy Selke, Mark H. Wener, Chihiro Morishima, Alexander L. Greninger, Michael Gale Jr., Tien-Ying Hsiang, Lichen Jing, Michael R. Holbrook, Ian M. Kaplan, H. Jabran Zahid, Damon H. May, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S. Robins, David M. Koelle

×

Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 2,433 187
PDF 447 22
Figure 782 0
Table 397 0
Supplemental data 314 9
Citation downloads 332 0
Totals 4,705 218
Total Views 4,923
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

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

Sign up for email alerts