The CD4(+) T cell response to a commensal-derived epitope transitions from a tolerant to an inflammatory state in Crohn's disease.
The CD4(+) T cell response to a commensal-derived epitope transitions from a tolerant to an inflammatory state in Crohn's disease.
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DOI:
10.1016/j.immuni.2022.08.016
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发表时间:
2022-10-11
期刊:
影响因子:
32.4
通讯作者:
Graham, Daniel B.
中科院分区:
文献类型:
--
作者:
Pedersen, Thomas K.;Brown, Eric M.;Plichta, Damian R.;Johansen, Joachim;Twardus, Shaina W.;Delorey, Toni M.;Lau, Helena;Vlamakis, Hera;Moon, James J.;Xavier, Ramnik J.;Graham, Daniel B.
Reciprocal interactions between host T helper cells and gut microbiota enforce local immunological tolerance and modulate extra-intestinal immunity. However, our understanding of antigen-specific tolerance to the microbiome is limited. Here, we developed a systematic approach to predict HLA class-II-specific epitopes using the humanized bacteria-originated T cell antigen (hBOTA) algorithm. We identified a diverse set of microbiome epitopes spanning all major taxa that are compatible with presentation by multiple HLA-II alleles. In particular, we uncovered an immunodominant epitope from the TonB-dependent receptor SusC that was universally recognized and ubiquitous among Bacteroidales. In healthy human subjects, SusC-reactive T cell responses were characterized by IL-10-dominant cytokine profiles, whereas in patients with active Crohn’s disease, responses were associated with elevated IL-17A. Our results highlight the potential of targeted antigen discovery within the microbiome to reveal principles of tolerance and functional transitions during inflammation. The functional basis of tolerance to the gut microbiome is incompletely understood. Pedersen et al. develop an antigen-discovery approach to assess microbiota-directed T cell immunity in health and inflammation. They reveal the dynamic nature of T cell-mediated responses toward commensal Bacteroidales, highlighting inflammation-associated changes in Crohn’s disease.
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影响因子:
6.4
作者:
Elhenawy W;Debelyy MO;Feldman MF
通讯作者:
Feldman MF
影响因子:
5.8
作者:
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者:
Schlesner, Matthias
DOI:
10.1093/bioinformatics/bts565
发表时间:
2012-12-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Fu L;Niu B;Zhu Z;Wu S;Li W
通讯作者:
Li W
影响因子:
3.7
作者:
Blanvillain S;Meyer D;Boulanger A;Lautier M;Guynet C;Denancé N;Vasse J;Lauber E;Arlat M
通讯作者:
Arlat M
影响因子:
32.4
作者:
Abelin, Jennifer G.;Harjanto, Dewi;Rooney, Michael S.
通讯作者:
Rooney, Michael S.