ReviewFrontiers in immunology2026
Beyond histocompatibility: human leukocyte antigen as a cross-disciplinary platform for immune recognition and clinical decision-making.
Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human leukocyte antigen (HLA) molecules mediate peptide presentation and shape immune recognition, with clinical relevance well beyond donor-recipient matching. This review describes how HLA variation and anti-HLA immunity affect transfusion medicine, autoimmune and infectious diseases, pharmacogenomics, cancer, pregnancy, solid organ transplantation and haematopoietic stem cell transplantation (HSCT). It outlines HLA nomenclature and testing, including sequence-based typing, single-antigen bead assays, virtual crossmatching and molecular mismatch analysis, and considers how population-specific allele and haplotype frequencies affect interpretation. An HLA result must be interpreted in clinical context, including exposure history, donor specificity, antibody strength, assay characteristics, organ type, molecular mismatch, HLA evolutionary divergence, immunosuppression and ancestry. In transfusion medicine, recipient alloimmunisation can cause platelet refractoriness and complicate future transplantation, whereas donor antibodies contribute to transfusion-related acute lung injury. Transfusion-associated graft-versus-host disease is a different cellular complication. In autoimmunity, type 1 diabetes and systemic lupus erythematosus show how HLA class II variation can influence peptide selection, immune tolerance and autoantibody profiles, although most associations are not diagnostic alone. Pharmacogenomic testing has clearer clinical value for selected drugs, including abacavir, carbamazepine and allopurinol. In cancer, loss of classical HLA expression and non-classical HLA-E and HLA-G pathways contribute to immune escape and are being explored as therapeutic targets. In transplantation, HLA assessment increasingly combines donor-specific antibodies, crossmatch results, molecular mismatch and organ-specific risk. Eplet, amino-acid and predicted indirect T-cell epitope mismatch can support risk assessment at population level, but no single score should determine organ allocation or immunosuppression. HSCT differs because the graft transfers a donor immune system, creating competing risks of graft failure, graft-versus-host disease and relapse. Clinical implementation requires reliable assays, validated clinical associations, evidence of patient benefit, multi-ancestry validation, consistent reporting and equitable access. We distinguish established clinical practice from developing risk-stratification methods and early mechanistic findings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.