Optimizing Donor Matching: Beyond HLA for Better Outcomes
Received Date: Oct 03, 2025 / Published Date: Oct 31, 2025
Abstract
Donor matching in transplantation is a critical process that involves assessing histocompatibility through HLA typing, cross matching, and considering factors like blood type, body size, and immunological markers. Advances in genetic analysis and tech nologies like next-generation sequencing (NGS) enhance accuracy. The impact of non-HLA antibodies, donor-recipient sex, and donor age on graft survival are increasingly recognized. Virtual crossmatch techniques expedite allocation, while ethical frameworks guide resource distribution. Donor-specific antibodies (DSAs) remain a challenge, necessitating vigilant monitoring. AI and ma chine learning offer future potential for optimizing matching. ABO-incompatible transplantation employs desensitization protocols to improve outcomes.
Citation: Schneider DA (2025) Optimizing Donor Matching: Beyond HLA for Better Outcomes. troa 10: 323
Copyright: 漏 2025 Dr. Anika Schneider This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution and reproduction in any medium, provided the original author and source are credited
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