Evidence map›Paper›PMID 40254746›Full record

ArticleTransplantation2025

HLA-EP-RESOLVER: A Novel Web-based Bioinformatic Tool to Determine the Presence or Absence of DSA Against Rare HLA Alleles in the Era of Rapid High-resolution Deceased Donor HLA Genotyping.

Linh Truong, Fredrick Mobegi, Babette Vogels, Dianne De Santis, Jonathan Downing, Lloyd D'Orsogna

Abstract read
In one paragraph

Article in Transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Linh TruongDepartment of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA, Australia.
Fredrick MobegiDepartment of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA, Australia.
Babette VogelsDepartment of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA, Australia.
Dianne De SantisDepartment of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA, Australia.
Jonathan DowningDepartment of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA, Australia.
Lloyd D'OrsognaDepartment of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients awaiting a solid organ transplant require pretransplant testing including high-resolution HLA typing and screening of HLA antibodies. However, the standard HLA antibody testing cannot encompass all the HLA alleles available in the Australian donor pool. With the advent of high-resolution HLA typing for organ allocation, there is an increased prevalence of detecting uncommon HLA alleles. It is challenging to manually determine whether patients have donor-specific HLA antibodies against these antigens. To address this issue, a bioinformatic pipeline, HLA-EP-RESOLVER, was developed to assess eplet reactivity for rare HLA unacceptable antigens (UAs).

methodsThe HLA-EP-RESOLVER pipeline was validated against sensitized patients, and a list of candidate UAs was identified for each patient. The candidate UAs must meet the following criteria: (1) match at the first field with existing UAs, (2) share eplets or serological types with the current UAs, (3) do not share the patient's self-eplets or eplets on negative beads, and/or (4) in the exception rules. The Australian deceased donor pool was used as the initial model. The predicted UAs were then confirmed with physical crossmatching.

resultsThe pipeline proved to be highly accurate at predicting high-risk antigens by utilizing eplet analysis through HLA Matchmaker, and the HLA data extracted from the Australian donor population. The reactivity of several candidate UAs were confirmed by cellular verification.

conclusionsThe HLA-EP-RESOLVER program was shown to be rapid, useful, and highly accurate in determining acceptable or unacceptable HLA alleles in the new era of rapid high-resolution donor typing before allocation.

Indexed as

Computational BiologyHistocompatibilityHistocompatibility TestingHLA AntigensInternetIsoantibodiesOrgan TransplantationTissue DonorsAllelesAustraliaDonor SelectionGenotypeHumansPredictive Value of TestsHLA AntigensIsoantibodies

Identifiers

PMID40254746
PMCPMC12366738

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.