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移植中的免疫相容性:适应不断变化的治疗格局。

Immunocompatibility in transplantation: adapting to a changing therapeutic landscape.

作者信息

Güell-Alonso Raquel, Cabrera-Pérez Raquel, Vives Joaquim

机构信息

Banc de Sang i Teixits, Barcelona, Spain.

Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.

出版信息

Front Immunol. 2025 Sep 9;16:1648534. doi: 10.3389/fimmu.2025.1648534. eCollection 2025.

Abstract

The ongoing shortage of cell, tissue, and organ donors has led to prioritizing clinical urgency over optimal immune matching in transplantation, often at the cost of increased reliance on immunosuppressive regimens and their associated adverse effects. Recent advances in the use of Substances of Human Origin (SoHOs), xenotransplantation and emerging cell-, gene-, and tissue-based therapies have enabled the development of tailored cellular therapeutics to enhance engraftment, long-term function, and immunological compatibility. Within this evolving context, artificial intelligence is also increasingly contributing to improve donor-recipient matching through predictive analytics and integrative data modeling, assisting on immune tolerance and the durable integration of transplanted cells into host tissues. In this review, we revisit foundational concepts of immunocompatibility, examine current clinical criteria in organ transplantation, and critically explore the shifting paradigms of donor-recipient matching in the era of personalized medicine. These advances have the potential to redefine clinical strategies in transplantation and regenerative care while ensuring patient access and sustainability.

摘要

细胞、组织和器官供体的持续短缺导致在移植中优先考虑临床紧迫性而非最佳免疫匹配,这通常是以增加对免疫抑制方案及其相关不良反应的依赖为代价的。人类源物质(SoHOs)的使用、异种移植以及新兴的基于细胞、基因和组织的疗法的最新进展,使得开发定制化细胞疗法以提高植入率、长期功能和免疫相容性成为可能。在这一不断发展的背景下,人工智能也越来越多地通过预测分析和综合数据建模,助力改善供体与受体的匹配,辅助实现免疫耐受以及将移植细胞持久整合到宿主组织中。在本综述中,我们重温免疫相容性的基础概念,审视器官移植的当前临床标准,并批判性地探讨个性化医疗时代供体与受体匹配的转变范式。这些进展有可能重新定义移植和再生医疗中的临床策略,同时确保患者可及性和可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2daa/12454034/d2cd1ab76920/fimmu-16-1648534-g001.jpg

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