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. 2021 May 28:12:635942.
doi: 10.3389/fimmu.2021.635942. eCollection 2021.

Deconvoluting the T Cell Response to SARS-CoV-2: Specificity Versus Chance and Cognate Cross-Reactivity

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Deconvoluting the T Cell Response to SARS-CoV-2: Specificity Versus Chance and Cognate Cross-Reactivity

Alexander A Lehmann et al. Front Immunol. .

Abstract

SARS-CoV-2 infection takes a mild or clinically inapparent course in the majority of humans who contract this virus. After such individuals have cleared the virus, only the detection of SARS-CoV-2-specific immunological memory can reveal the exposure, and hopefully the establishment of immune protection. With most viral infections, the presence of specific serum antibodies has provided a reliable biomarker for the exposure to the virus of interest. SARS-CoV-2 infection, however, does not reliably induce a durable antibody response, especially in sub-clinically infected individuals. Consequently, it is plausible for a recently infected individual to yield a false negative result within only a few months after exposure. Immunodiagnostic attention has therefore shifted to studies of specific T cell memory to SARS-CoV-2. Most reports published so far agree that a T cell response is engaged during SARS-CoV-2 infection, but they also state that in 20-81% of SARS-CoV-2-unexposed individuals, T cells respond to SARS-CoV-2 antigens (mega peptide pools), allegedly due to T cell cross-reactivity with Common Cold coronaviruses (CCC), or other antigens. Here we show that, by introducing irrelevant mega peptide pools as negative controls to account for chance cross-reactivity, and by establishing the antigen dose-response characteristic of the T cells, one can clearly discern between cognate T cell memory induced by SARS-CoV-2 infection vs. cross-reactive T cell responses in individuals who have not been infected with SARS-CoV-2.

Keywords: COVID-19; ELISPOT; ImmunoSpot; T cell affinity; immune monitoring; mega peptide pools.

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Conflict of interest statement

PL is Founder, President and CEO of Cellular Technology Ltd., a company that specializes in immune monitoring by ELISPOT testing, producing high-throughput-suitable readers, test kits, and GLP-compliant contract research. AAL, GK, and TZ are employees of CTL. This study was funded by CTL, and the funder directed the study design, collection, analysis, interpretation of data, the writing of this article, and made the decision to submit it for publication.

Figures

Figure 1
Figure 1
Classic representation of SARS-CoV-2 antigen-specific T cell frequencies in SARS-CoV-2 PCR verified subjects(+) versus Pre-COVID Era individuals(-). PBMC of each individual within the cohort is represented by a dot. The PBMC were challenged with peptide pools covering the SARS-CoV-2 antigens specified on the right. (These peptide pools are closer defined in Supplementary Table 2 ). The individual peptides in each pool were tested at 1.5 µg/ml. An ELISPOT assay was performed measuring the numbers of antigen-induced IFN-y-secreting T cells (spot forming units, SFU) in 200,000 PBMC; following convention, the numbers have been normalized to per million PBMC, as shown on the Y axis. Statistical significance between the two cohorts was determined using an independent samples t test. Significant differences between SARS-CoV-2-infected vs. non-exposed cohorts are marked with * denoting p < 0.05, ** p < 0.01, and *** p < 0.001, respectively.

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References

    1. Long QX, Tang XJ, Shi QL, Li Q, Deng HJ, Yuan J, et al. . Clinical and Immunological Assessment of Asymptomatic SARS-CoV-2 Infections. Nat Med (2020) 26(8):1200–4. 10.1038/s41591-020-0965-6 - DOI - PubMed
    1. Mallapaty S. Will Antibody Tests For The Coronavirus Really Change Everything? Nature (2020) 580(7805):571–2. 10.1038/d41586-020-01115-z - DOI - PubMed
    1. Woloshin S, Patel N, Kesselheim AS. False Negative Tests For SARS-CoV-2 Infection — Challenges And Implications. N Engl J Med (2020) 383(6):e38. 10.1056/NEJMp2015897 - DOI - PubMed
    1. Seow J, Graham C, Merrick B, Acors S, Pickering S, Steel KJA, et al. . Longitudinal Observation And Decline Of Neutralizing Antibody Responses In The Three Months Following SARS-CoV-2 Infection in Humans. Nat Microbiol (2020) 5(12):1598–607. 10.1038/s41564-020-00813-8 - DOI - PMC - PubMed
    1. Rydyznski Moderbacher C, Ramirez SI, Dan JM, Grifoni A, Hastie KM, Weiskopf D, et al. . Antigen-Specific Adaptive Immunity To SARS-CoV-2 In Acute COVID-19 And Associations With Age And Disease Severity. Cell (2020) 183(4):996–1012.e19. 10.1016/j.cell.2020.09.038 - DOI - PMC - PubMed

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