Hirata Masaaki, Tsukita Kazuto, Shindo Takero, Yagi Shintaro, Ito Takashi, Tanaka Satona, Fujimoto Ryo, Kayawake Hidenao, Nakamura Kenji, Fujiyama Nobuhiro, Saito Mitsuru, Yurugi Kimiko, Hishida Rie, Kato Arisa, Kawaguchi Atsushi, Habuchi Tomonori, Kobayashi Takashi, Date Hiroshi, Hatano Etsuro
Department of Surgery, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto 606-8501, Japan.
Department of Neurology, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto 606-8501, Japan; Advanced Comprehensive Research Organization, Teikyo University, Itabashi-ku, Tokyo 173-8605, Japan; Division of Sleep Medicine, Kansai Electric Power Medical Research Institute, Fukushima-ku, Osaka 553-0003, Japan.
Cell Rep Med. 2025 Jun 17;6(6):102153. doi: 10.1016/j.xcrm.2025.102153. Epub 2025 May 30.
Donor-specific antibodies (DSAs) against human leukocyte antigen (HLA) play a crucial role in antibody-mediated rejection, a major barrier to successful organ transplantation. Donor-recipient HLA molecular incompatibility critically influences DSA susceptibility, commonly assessed by analyzing mismatches in the HLA eplet repertoire. This study, including six distinct liver, lung, and kidney transplant cohorts from two centers (978 donor-recipient pairs), explores associations between individual eplet mismatches and DSA development. Certain mismatched eplets are strongly linked to DSA development, while others show weaker associations, a trend consistent across different organ types. Machine learning leverages these hierarchical associations to develop an eplet risk score (ERS), outperforming traditional eplet mismatch assessments. Furthermore, T cell proliferation in mixed lymphocyte reaction in vitro correlates with the ERS, attenuated by antibody-mediated inhibition of a mismatched DSA-associated eplet. These results establish the differential immunological impacts of mismatched HLA eplets as integral in clinical practice and therapeutic innovation.
针对人类白细胞抗原(HLA)的供体特异性抗体(DSA)在抗体介导的排斥反应中起关键作用,这是成功进行器官移植的主要障碍。供体 - 受体HLA分子不相容性严重影响DSA易感性,通常通过分析HLA表位库中的错配来评估。这项研究包括来自两个中心的六个不同的肝、肺和肾移植队列(978对供体 - 受体对),探讨了个体表位错配与DSA产生之间的关联。某些错配表位与DSA产生密切相关,而其他表位的关联较弱,这一趋势在不同器官类型中一致。机器学习利用这些层次关联来开发表位风险评分(ERS),其性能优于传统的表位错配评估。此外,体外混合淋巴细胞反应中的T细胞增殖与ERS相关,通过抗体介导的对错配DSA相关表位的抑制而减弱。这些结果表明,错配的HLA表位的不同免疫影响在临床实践和治疗创新中不可或缺。