{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T14:25:09Z","timestamp":1788791109870,"version":"build-2803163510"},"reference-count":92,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Transplant."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Donor\u2013recipient compatibility remains a central determinant of transplant success, yet conventional antigen-level human leukocyte antigen (HLA) matching provides limited resolution for predicting alloimmune risk. Molecular matching at the eplet level, which quantifies structural motifs on HLA molecules recognized by B- and T-cells, has emerged as a promising strategy to refine immunologic risk assessment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a scoping review of 98 studies encompassing 286,101 solid organ transplant (SOT) recipients across kidney, heart, lung, liver, pancreas, and combined grafts. Data on HLA typing approaches, eplet mismatch (epMM) algorithms, thresholds, and associations with clinical outcomes were systematically extracted and synthesized.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The majority of studies were retrospective kidney transplant cohorts, though evidence from heart, lung, and liver transplantation is expanding. Across organs, higher class II epMM burden\u2014particularly at HLA-DQ and HLA-DR\u2014was consistently associated with\n                      <jats:italic>de novo<\/jats:italic>\n                      donor-specific antibodies, antibody mediated rejection, and graft dysfunction. Reported epMM thresholds varied but were most robust for class II loci, while findings for class I loci were less consistent. Observed differences in epMM thresholds and effect sizes reflected both organ-specific immunobiology and methodological heterogeneity, including variation in typing resolution, mismatch algorithms, immunosuppression exposure, and study design.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Eplet matching demonstrates significant potential to improve risk stratification and long-term graft outcomes across SOT. However, clinical translation is limited by inconsistent methods, equity concerns, and the absence of standardized epMM thresholds. Prospective studies, harmonized molecular typing, and integration with allocation frameworks are needed to establish the clinical utility and policy implications of molecular-level HLA matching.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/frtra.2025.1710058","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T06:30:16Z","timestamp":1765175416000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["The role of eplet matching in solid organ transplantation"],"prefix":"10.3389","volume":"4","author":[{"given":"Viola A.","family":"St\u00f6gner","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dean 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