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. 2022 Apr 8:13:880190.
doi: 10.3389/fimmu.2022.880190. eCollection 2022.

Differences in SARS-CoV-2 Vaccine Response Dynamics Between Class-I- and Class-II-Specific T-Cell Receptors in Inflammatory Bowel Disease

Affiliations

Differences in SARS-CoV-2 Vaccine Response Dynamics Between Class-I- and Class-II-Specific T-Cell Receptors in Inflammatory Bowel Disease

Alexander M Xu et al. Front Immunol. .

Abstract

T-cells specifically bind antigens to induce adaptive immune responses using highly specific molecular recognition, and a diverse T-cell repertoire with expansion of antigen-specific clones can indicate robust immune responses after infection or vaccination. For patients with inflammatory bowel disease (IBD), a spectrum of chronic intestinal inflammatory diseases usually requiring immunomodulatory treatment, the T-cell response has not been well characterized. Understanding the patient factors that result in strong vaccination responses is critical to guiding vaccination schedules and identifying mechanisms of T-cell responses in IBD and other immune-mediated conditions. Here we used T-cell receptor sequencing to show that T-cell responses in an IBD cohort were influenced by demographic and immune factors, relative to a control cohort of health care workers (HCWs). Subjects were sampled at the time of SARS-CoV-2 vaccination, and longitudinally afterwards; TCR Vβ gene repertoires were sequenced and analyzed for COVID-19-specific clones. We observed significant differences in the overall strength of the T-cell response by age and vaccine type. We further stratified the T-cell response into Class-I- and Class-II-specific responses, showing that Ad26.COV2.S vector vaccine induced Class-I-biased T-cell responses, whereas mRNA vaccine types led to different responses, with mRNA-1273 vaccine inducing a more Class-I-deficient T-cell response compared to BNT162b2. Finally, we showed that these T-cell patterns were consistent with antibody levels from the same patients. Our results account for the surprising success of vaccination in nominally immuno-compromised IBD patients, while suggesting that a subset of IBD patients prone to deficiencies in T-cell response may warrant enhanced booster protocols.

Keywords: SARS-CoV-2 (COVID-19); T-cell repertoire; immunodeficiency; inflammatory bowel disease; mRNA vaccine.

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Conflict of interest statement

GM has consulted for AbbVie, Arena Pharmaceuticals, Boehringer-Ingelheim, Bristol-Meyers Squibb/Celgene, Entasis, Janssen, Medtronic, Pfizer, Samsung Bioepis, Shionogi, Takeda, Techlab, and has received research funding from Pfizer for an unrelated investigator-initiated study. JB has received research funding from Janssen. DM has consulted for Takeda, Boehringer-Ingelheim, Palatin Technologies, Bridge Biotherapeutics, Pfizer, and Gilead, and is a consultant/stockholder for Prometheus Biosciences. RE, RG, HC, and IK are employees of Adaptive Biotechnologies. JP, EF, and JS are employees of Abbott. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Breadth and depth metrics after COVID-19 vaccination. (A, B) Breadth and depth increases over time, peaking at 2 weeks after vaccine dose 2 in IBD. This increase was observed for both IBD and HCW cohorts. (C, D) Depth, but not breadth, was dependent on age. Younger patients have greater depth and more clonal expansion, with a similar number of unique clones detected. (E, F) Female patients only exhibited increased depth at dose 2 but were also younger. (G, H) Ad26.COV2.S vaccination resulted in lower depth. mRNA-1273 vaccination resulted in slightly higher breadth only at 8 weeks after dose 2. (I, J) Prior covid infection resulted in higher breadth and depth, except at 2 weeks after vaccination (*p<0.05). N.S., not-significant
Figure 2
Figure 2
Class-I and Class-II TCR metrics. (A, B) Class-I-specific breadth was consistently lower than Class-II-specific breadth. The residual metric was used to describe how much Class-I-specific breadth was observed relative to expected. (C, D) The Class-I/II residual was replicated for depth. (E) Z-scores for female patients were higher. (F) Z-scores for mRNA-1273 patients were significantly lower. Ad26.COV2.S differences were not statistically significant with the small sample size, but trended higher. (G, H) Anti-TNF treatment by adalimumab but not infliximab increased depth z-scores, and anti-IL23 decreased breadth z-scores. (I) Prior covid infection was significantly associated with higher z-scores (*p<0.05).
Figure 3
Figure 3
Class-I/II patient extremes. (A) Age groups of patients with breadth z-scores <-1, >1, and between -1 and 1 are shown with the number of samples in each group. Class-I-biased patients were more likely to be younger, while Class-I-deficient patients were more likely to be older. Ad26.COV2.S vaccines resulted in a higher proportion of Class-I-biased patients. (B) Similar trends were observed using depth z-scores. (C) Spike-specific antibody serology was correlated with both breadth and depth. (D) Prior covid infection was strongly associated with antibody counts. mRNA-1273 vaccination resulted in higher antibody counts and Ad26.COV2.S vaccination resulted in lower counts (*p<0.05).

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