Experimental and Clinical Transplantation · 2019 · 22 citations · 24 references
Life SciencesImmunologyPediatricsHepatologyPediatric ImmunologyTransplant ImmunologyAcute RejectionAntibody-mediated RejectionDonor-specific AntibodiesHla MatchingLiver TransplantationPediatric TransplantationDonor-specific Hla AntibodiesHla Antigen MismatchHla Mismatch AssessmentHla-dr MatchingLiver Allograft BiopsyLiver Transplant RejectionNon-hla AntibodiesTransplant Immunology In Children
OBJECTIVES: To identify the risk of developing acute rejection, allograft fibrosis, and antibody-mediated rejection, a retrospective review of pediatric patients who underwent liver transplant between July 31, 1998 and February 29, 2016 and had donor-specific antibodies measured at time of liver biopsy was undertaken. MATERIALS AND METHODS: HLAMatchmaker Software (http://www.hlamatchmaker.net) was used to define epitope mismatches between donors and recipients and to predict de novo donor-specific antibody risk. Epitope mismatches were evaluated for their immunogenicity. RESULTS: In our group of 42 recipients, 20 (48%) had donor-specific antibodies. Having an antibody against HLA-DQB1*02 was associated with acute rejection (66.6% vs 36%; P = .024). We found that DQ epitope mismatch load was greater in recipients with class II donor-specific antibodies (9.7 vs 3.6; P = .001). HLA-DQ (7.4 vs 3.6; P = .04) and HLA-DR (8.8 vs 3.8; P = .04) epitope mismatch loads were higher in recipients with DQ + DR donor-specific antibodies. A high portal fibrosis score was associated with higher mismatch load at the DQ locus (P = .005) and DQ + DR loci (P = .03). Having > 5 or > 6 epitope mismatch loads at the DQ locus identified a threshold above which development of DQ donor-specific antibodies would occur (area under the curve = 0.878). Mismatches for eplet 4Q, 45GE, 52PQ, and 52PL, thought to be immunodominant epitopes, were observed for several recipients. CONCLUSIONS: Knowledge of epitope mismatches between recipients and donors may aid transplant physicians in devising immunosuppression strategies.
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IMGT/HLA Database – a sequence database for the human major histocompatibility complex
James Robinson, Adnan Malik, Peter Parham et al. · Tissue Antigens · 2000 · 690 citations
Life Sciences, Genetics, Immunology +17
Anthony J. Demetris, Christopher Bellamy, Stefan G. Hübscher et al. · American Journal of Transplantation · 2016 · 627 citations · Full text
Medicine, Immunology, Pathology +17
Knut E. A. Lundin, Helge Scott, Thomas Folkmann Hansen et al. · The Journal of Experimental Medicine · 1993 · 597 citations · Full text