Hadrup Sine Reker, Newell Evan W
Section for Immunology and Vaccinology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.
Agency for Science, Technology and Research (A*STAR), Singapore Immunology Network (SIgN), Singapore, 138648, Singapore.
Nat Biomed Eng. 2017 Oct;1(10):784-795. doi: 10.1038/s41551-017-0143-4. Epub 2017 Oct 10.
Adaptive immune responses and immunopathogeneses are based on the ability of T cells to respond to specific antigens. Consequently, understanding T-cell recognition patterns in health and disease involves studying the complexity and genetic heterogeneity of the antigen recognition pathway, which includes both T-cell receptors and the antigen-presentation machinery. In this Perspective, we overview the development and use of technologies for assessing T-cell recognition in a clinical context, and discuss how knowledge of T-cell recognition pathways can be critical before, during and after disease treatment. The ability to assess T-cell-mediated immunity in individual patients during disease progression might enable the identification of patient-specific biomarkers that predict therapeutic efficacy and response. Effective strategies for the complex analysis of T-cell specificity in clinical settings are highly desirable and could complement current approaches for the monitoring of therapy responses.
适应性免疫反应和免疫发病机制基于T细胞对特定抗原作出反应的能力。因此，了解健康和疾病状态下的T细胞识别模式涉及研究抗原识别途径的复杂性和基因异质性，该途径包括T细胞受体和抗原呈递机制。在这篇观点文章中，我们概述了在临床背景下评估T细胞识别的技术的发展和应用，并讨论了T细胞识别途径的知识在疾病治疗前、治疗期间和治疗后如何至关重要。在疾病进展过程中评估个体患者T细胞介导免疫的能力可能有助于识别预测治疗效果和反应的患者特异性生物标志物。在临床环境中对T细胞特异性进行复杂分析的有效策略非常必要，并且可以补充当前监测治疗反应的方法。
