Immunopeptidomics for autoimmunity: unlocking the chamber of immune secrets.

IF 3.5 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY NPJ Systems Biology and Applications Pub Date : 2025-01-17 DOI:10.1038/s41540-024-00482-x

Sanya Arshad, Benjamin Cameron, Alok V Joglekar

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Abstract

T cells mediate pathogenesis of several autoimmune disorders by recognizing self-epitopes presented on Major Histocompatibility Complex (MHC) or Human Leukocyte Antigen (HLA) complex. The majority of autoantigens presented to T cells in various autoimmune disorders are not known, which has impeded autoantigen identification. Recent advances in immunopeptidomics have started to unravel the repertoire of antigenic epitopes presented on MHC. In several autoimmune diseases, immunopeptidomics has led to the identification of novel autoantigens and has enhanced our understanding of the mechanisms behind autoimmunity. Especially, immunopeptidomics has provided key evidence to explain the genetic risk posed by HLA alleles. In this review, we shed light on how immunopeptidomics can be leveraged to discover potential autoantigens. We highlight the application of immunopeptidomics in Type 1 Diabetes (T1D), Systemic Lupus Erythematosus (SLE), and Rheumatoid Arthritis (RA). Finally, we highlight the practical considerations of implementing immunopeptidomics successfully and the technical challenges that need to be addressed. Overall, this review will provide an important context for using immunopeptidomics for understanding autoimmunity.

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自体免疫的免疫肽组学：解开免疫秘密的密室。

T细胞通过识别主要组织相容性复合体（MHC）或人白细胞抗原（HLA）复合体上的自身表位介导多种自身免疫性疾病的发病机制。在各种自身免疫性疾病中，呈递给T细胞的大多数自身抗原是未知的，这阻碍了自身抗原的识别。免疫肽组学的最新进展已经开始揭示在MHC上呈现的抗原表位。在一些自身免疫性疾病中，免疫肽组学已经导致了新的自身抗原的鉴定，并增强了我们对自身免疫机制的理解。特别是，免疫肽组学为解释HLA等位基因带来的遗传风险提供了关键证据。在这篇综述中，我们阐明了如何利用免疫肽组学来发现潜在的自身抗原。我们强调免疫肽组学在1型糖尿病（T1D）、系统性红斑狼疮（SLE）和类风湿性关节炎（RA）中的应用。最后，我们强调了成功实施免疫肽组学的实际考虑和需要解决的技术挑战。总之，这篇综述将为使用免疫肽组学来理解自身免疫提供一个重要的背景。

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来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.