Immunology Program, Broad Institute of Massachusetts Institute of Technology and Harvard , Cambridge, MA, USA.
Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School , Boston, MA, USA.
J Exp Med. 2024 Sep 2;221(9). doi: 10.1084/jem.20231314. Epub 2024 Aug 2.
Adaptive immune cell function is regulated by a highly diverse receptor recombined from variable germline-encoded segments that can recognize an almost unlimited array of epitopes. While this diversity enables the recognition of any pathogen, it also poses a risk of self-recognition, leading to autoimmunity. Many layers of regulation are present during both the generation and activation of B cells to prevent this phenomenon, although they are evidently imperfect. In recent years, our ability to analyze immune repertoires at scale has drastically increased, both through advances in sequencing and single-cell analyses. Here, we review the current knowledge on B cell repertoire analyses, focusing on their implication for autoimmunity. These studies demonstrate that a failure of tolerance occurs at multiple independent checkpoints in different autoimmune contexts, particularly during B cell maturation, plasmablast differentiation, and within germinal centers. These failures are marked by distinct repertoire features that may be used to identify disease- or patient-specific therapeutic approaches.
适应性免疫细胞的功能受高度多样化的受体调控,这些受体由可变的胚系编码片段重组而成,可以识别几乎无限数量的表位。虽然这种多样性使我们能够识别任何病原体,但它也存在自身识别的风险,导致自身免疫。在 B 细胞的产生和激活过程中存在许多层次的调节,以防止这种现象的发生,尽管它们显然并不完美。近年来,我们分析免疫受体库的能力通过测序和单细胞分析的进步得到了极大的提高。在这里,我们回顾了 B 细胞受体库分析的最新知识,重点介绍了它们对自身免疫的影响。这些研究表明,在不同的自身免疫环境中,在多个独立的检查点发生了耐受失败,特别是在 B 细胞成熟、浆母细胞分化和生发中心内。这些失败的标志是独特的受体库特征,这些特征可用于识别疾病或患者特异性的治疗方法。