Improving long-term kidney allograft survival by rethinking HLA compatibility: from molecular matching to non-HLA genes.

HLAMatchmaker PIRCHE-II eplet eplet registry kidney paired exchange kidney transplant non-HLA genes non-classical HLA

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2024
Historique:
received: 01 06 2024
accepted: 19 09 2024
medline: 17 10 2024
pubmed: 17 10 2024
entrez: 17 10 2024
Statut: epublish

Résumé

Optimizing immunologic compatibility in organ transplantation extends beyond the conventional approach of Human Leukocyte Antigen (HLA) antigen matching, which exhibits significant limitations. A broader comprehension of the roles of classical and non-classical HLA genes in transplantation is imperative for enhancing long-term graft survival. High-resolution molecular HLA genotyping, despite its inherent challenges, has emerged as the cornerstone for precise patient-donor compatibility assessment. Leveraging understanding of eplet biology and indirect immune activation, eplet mismatch calculators and the PIRCHE-II algorithm surpass traditional methods in predicting allograft rejection. Understanding minor histocompatibility antigens may also present an opportunity to personalize the compatibility process. While the application of molecular matching in deceased donor organ allocation presents multiple technical, logistical, and conceptual barriers, rendering it premature for mainstream use, several other areas of donor-recipient matching and post-transplant management are ready to incorporate molecular matching. Provision of molecular mismatch scores to physicians during potential organ offer evaluations could potentially amplify long-term outcomes. The implementation of molecular matching in living organ donation and kidney paired exchange programs is similarly viable. This article will explore the current understanding of immunologic matching in transplantation and the potential applications of epitope and non-epitope molecular biology and genetics in clinical transplantation.

Identifiants

pubmed: 39415982
doi: 10.3389/fgene.2024.1442018
pii: 1442018
pmc: PMC11480002
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1442018

Informations de copyright

Copyright © 2024 Mattoo, Jaffe, Keating, Montgomery and Mangiola.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Aprajita Mattoo (A)

NYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.

Ian S Jaffe (IS)

NYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.

Brendan Keating (B)

NYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.

Robert A Montgomery (RA)

NYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.

Massimo Mangiola (M)

NYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.

Classifications MeSH