P-1971. Patterns of T cell receptor usage reveal associations with COVID-19 severity

Abstract Background T cells are associated with viral clearance and improved outcomes in COVID-19, but also with immunopathology. Defining T cell diversity in response to SARS-CoV-2 infection enables implementation of T cells in prevention and treatment strategies. T cells recognize peptide sequences from pathogens upon presentation in major histocompatibility complexes (MHC). Human MHC molecule diversity results in a wide array of peptide recognition by T cells making viral escape difficult, but also challenging to measure. Methods Using the ImmunoSEQ Assay to sequence complementarity-determining regions in the β chains (CDR3β) of the T cell receptor (TCR) from peripheral blood collected from participants in the EPICC COVID-19 cohort study, we quantified and characterized patterns of TCR usage. Multiple bioinformatic pipelines were compared for analysis. Results Our study evaluated TCR repertoires from 39 participants who had mild (20 outpatient) versus severe (19 hospitalized) acute COVID-19, and either experienced unvaccinated primary infection (n = 15) or vaccine breakthrough infection (n = 24) (Table 1). From these four clinical groups, we used the ImmuneCODE database, VDJdatabase and healthy controls to identify CD8 TCR sequences and amino acid motifs in the CDR3β region specific for the SARS-CoV-2 proteome. We were surprised to find that vaccine breakthrough and primary infection participants exhibited similar frequencies of SARS-CoV-2-specific TCR sequences over 14-21 days post-symptom onset. Increased use of common TCR clones occurred in participants with older age and comorbidities, which correlated with more severe disease (Figure 1). Strikingly, an increased frequency of non-SARS-CoV-2 TCRs was significantly associated with severe disease in unvaccinated (p = 0.006) and vaccinated participants (p = 0.045). Conclusion In conclusion, our study highlights the opportunities and challenges of studying the complexity of T cell diversity and the utility of combining databases and bioinformatics for identification of patterns of TCR recognition. Interestingly, participants who were hospitalized were more likely to have circulating T cells non-specific for SARS-CoV-2 suggesting that vaccines that increase T cell specificity may reduce disease severity. Disclosures Simon Pollett, MBBS, AstraZeneca: The IDCRP and HJF were funded to conduct an unrelated phase III COVID-19 monoclonal antibody immunoprophylaxis trial as part of US Govt COVID Response

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Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.2129
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
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article

P-1971. Patterns of T cell receptor usage reveal associations with COVID-19 severity

Brian K. Agan, Timothy H. Burgess, Stephanie A Richard, Clifton L. Dalgard et al.
Open Forum Infectious Diseases
Cancer Immunotherapy and Biomarkers
article

P-1971. Patterns of T cell receptor usage reveal associations with COVID-19 severity

Brian K. Agan, Timothy H. Burgess, Stephanie A Richard, Clifton L. Dalgard, Zhongyan Lu, Camille Alba, Emily Parsons, John Rosenberger, Gauthaman Sukumar, Allison M. W. Malloy, Xijun Zhang, Simon D. Pollett
article en

Abstract

Abstract Background T cells are associated with viral clearance and improved outcomes in COVID-19, but also with immunopathology. Defining T cell diversity in response to SARS-CoV-2 infection enables implementation of T cells in prevention and treatment strategies. T cells recognize peptide sequences from pathogens upon presentation in major histocompatibility complexes (MHC). Human MHC molecule diversity results in a wide array of peptide recognition by T cells making viral escape difficult, but also challenging to measure. Methods Using the ImmunoSEQ Assay to sequence complementarity-determining regions in the β chains (CDR3β) of the T cell receptor (TCR) from peripheral blood collected from participants in the EPICC COVID-19 cohort study, we quantified and characterized patterns of TCR usage. Multiple bioinformatic pipelines were compared for analysis. Results Our study evaluated TCR repertoires from 39 participants who had mild (20 outpatient) versus severe (19 hospitalized) acute COVID-19, and either experienced unvaccinated primary infection (n = 15) or vaccine breakthrough infection (n = 24) (Table 1). From these four clinical groups, we used the ImmuneCODE database, VDJdatabase and healthy controls to identify CD8 TCR sequences and amino acid motifs in the CDR3β region specific for the SARS-CoV-2 proteome. We were surprised to find that vaccine breakthrough and primary infection participants exhibited similar frequencies of SARS-CoV-2-specific TCR sequences over 14-21 days post-symptom onset. Increased use of common TCR clones occurred in participants with older age and comorbidities, which correlated with more severe disease (Figure 1). Strikingly, an increased frequency of non-SARS-CoV-2 TCRs was significantly associated with severe disease in unvaccinated (p = 0.006) and vaccinated participants (p = 0.045). Conclusion In conclusion, our study highlights the opportunities and challenges of studying the complexity of T cell diversity and the utility of combining databases and bioinformatics for identification of patterns of TCR recognition. Interestingly, participants who were hospitalized were more likely to have circulating T cells non-specific for SARS-CoV-2 suggesting that vaccines that increase T cell specificity may reduce disease severity. Disclosures Simon Pollett, MBBS, AstraZeneca: The IDCRP and HJF were funded to conduct an unrelated phase III COVID-19 monoclonal antibody immunoprophylaxis trial as part of US Govt COVID Response

Open Forum Infectious DiseasesVol. 12(Supplement_1)
Uniformed Services University of the Health Sciences (US)
Openalex Percentile: Top 98%
Cancer Immunotherapy and Biomarkers
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