汉族HLA等位基因的病原适应性及其与自身免疫性疾病的相关性

Shuai Liu, Yanyan Li, Tingrui Song, Jingjing Zhang, Peng Zhang, Huaxia Luo, Sijia Zhang, Yiwei Niu, Tao Xu, Shunmin He
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摘要

人类白细胞抗原(HLA)基因在人类对动态致病环境的适应中起着至关重要的作用。尽管具有重要意义,但研究hla病原体驱动的进化及其对自身免疫性疾病的影响仍面临相当大的挑战。在这里,我们对来自不同种族背景的8278个人进行了20多个HLA基因分型,其中包括4013名无血缘关系的汉族。我们通过分析hla对各种病原体的结合亲和力,重点研究了hla在汉族人中的适应性,并探讨了病原体适应与自身免疫性疾病之间的潜在相关性。我们的研究结果表明,HLA- drb1 *07:01和HLA- dqb1 *06:01等特异性HLA等位基因在序列水平上具有很强的病原体适应性,特别是对白喉链杆菌和百日咳杆菌。此外,HLA-C*03:02等等位基因在基因表达水平上表现出对结核分枝杆菌和冠状病毒等病原体的适应性选择。同时,上述HLA等位基因与一些自身免疫性疾病如多发性硬化症(MS)密切相关。这些探索性发现揭示了人类群体中病原体适应和自身免疫性疾病之间复杂的共同进化关系。这些努力导致了在http://bigdata.ibp.ac.cn/HLAtyping上建立HLA数据库,帮助搜索人群中的HLA等位基因频率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Pathogen Adaptation of HLA Alleles and the Correlation with Autoimmune Diseases in the Han Chinese.

Human leukocyte antigen (HLA) genes play a crucial role in the adaptation of human populations to the dynamic pathogenic environment. Despite their significance, investigating the pathogen-driven evolution of HLAs and the implications for autoimmune diseases presents considerable challenges. Here, we genotyped over twenty HLA genes at 3-field resolution in 8278 individuals from diverse ethnic backgrounds, including 4013 unrelated Han Chinese. We focused on the adaptation of HLAs in the Han Chinese by analyzing their binding affinity for various pathogens, and explored the potential correlations between pathogen adaptation and autoimmune diseases. Our findings reveal that specific HLA alleles like HLA-DRB1*07:01 and HLA-DQB1*06:01 confer strong pathogen adaptability at the sequence level, notably for Corynebacterium diphtheriae and Bordetella pertussis. Additionally, alleles like HLA-C*03:02 demonstrate adaptive selection against pathogens like Mycobacterium tuberculosis and coronavirus at the gene expression level. Simultaneously, the aforementioned HLA alleles are closely related to some autoimmune diseases such as multiple sclerosis (MS). These exploratory discoveries shed light on the intricate coevolutionary relationships between pathogen adaptation and autoimmune diseases in the human population. These efforts led to an HLA database at http://bigdata.ibp.ac.cn/HLAtyping, aiding searches for HLA allele frequencies across populations.

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