Genome-wide meta-analysis associates donor-recipient non-HLA genetic mismatch with acute cellular rejection post-liver transplantation

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Titel: Genome-wide meta-analysis associates donor-recipient non-HLA genetic mismatch with acute cellular rejection post-liver transplantation
Autoren: Nieuwenhuis, Lianne M., Li, Yanni, Loza, Bao-Li, Lambeck, Annechien J.A., Hu, Shixian, Gacesa, Ranko, Voskuil, Michiel D., Hepkema, Bouke G., Jansen, Bernadien H., Blokzijl, Hans, Verkade, Henk-Jan, van den Heuvel, Marius C., Asrani, Sumeet, Testa, Giuliano, Klintmalm, Goran, Trotter, James, Olthoff, Kim M., Shaked, Abraham, Keating, Brendan J., Weersma, Rinse K., Festen, Eleonora A.M., de Meijer, Vincent E.
Quelle: Hepatology Communications ; volume 9, issue 1 ; ISSN 2471-254X
Verlagsinformationen: Ovid Technologies (Wolters Kluwer Health)
Publikationsjahr: 2024
Beschreibung: Background: Acute cellular rejection (ACR) remains a common complication causing significant morbidity post-liver transplantation. Non–human leukocyte antigen (non-HLA) mismatches were associated with an increased risk of ACR in kidney transplantation. Therefore, we hypothesized that donor-recipient non-HLA genetic mismatch is associated with increased ACR incidence post-liver transplantation. Methods: We conducted an international multicenter case-control genome-wide association study of donor-recipient liver transplant pairs in 3 independent cohorts, totaling 1846 pairs. To assess genetic mismatch burden, we calculated sum scores for single-nucleotide polymorphism (SNP) mismatch based on all non-HLA functional SNPs, specifically SNPs coding for transmembrane or secreted proteins as they more likely affect the immune system. We analyzed the association between the non-HLA mismatch scores and ACR in a multivariable Cox regression model per cohort, followed by a weighted meta-analysis. Results: During the first year post-transplantation, 90 of 689 (13%), 161 of 720 (22%), and 48 of 437 (11%) recipients experienced ACR in cohorts 1–3, respectively. Weighted meta-analyses showed that higher mismatch in functional non-HLA SNPs was associated with an increased incidence of ACR (HR 5.99; 95% CI: 1.39–20.08; p =0.011). Moreover, we found a larger effect of mismatch in SNPs coding for transmembrane or secreted proteins on ACR (HR 7.54; 95% CI 1.95–28.79; p =0.003). Sensitivity analyses showed that imputed HLA mismatch did not affect the associations between both non-HLA mismatch scores and ACR. Conclusions: Donor-recipient mismatch of functional non-HLA SNPs overall and, especially, of SNPs encoding transmembrane or secreted proteins correlated with 1-year ACR post-liver transplantation. Identifying high-risk immunological burdens between pairs may prevent early graft rejection and aid in personalizing immunosuppressive therapy. Future studies are, however, needed to validate our findings using a genotyped HLA cohort.
Publikationsart: article in journal/newspaper
Sprache: English
DOI: 10.1097/hc9.0000000000000601
DOI: 10.1097/HC9.0000000000000601
Verfügbarkeit: https://doi.org/10.1097/hc9.0000000000000601
https://journals.lww.com/10.1097/HC9.0000000000000601
Rights: http://creativecommons.org/licenses/by-nc-nd/4.0/ http://creativecommons.org/licenses/by-nc-nd/4.0/
Dokumentencode: edsbas.E735A1C
Datenbank: BASE
Beschreibung
Abstract:Background: Acute cellular rejection (ACR) remains a common complication causing significant morbidity post-liver transplantation. Non–human leukocyte antigen (non-HLA) mismatches were associated with an increased risk of ACR in kidney transplantation. Therefore, we hypothesized that donor-recipient non-HLA genetic mismatch is associated with increased ACR incidence post-liver transplantation. Methods: We conducted an international multicenter case-control genome-wide association study of donor-recipient liver transplant pairs in 3 independent cohorts, totaling 1846 pairs. To assess genetic mismatch burden, we calculated sum scores for single-nucleotide polymorphism (SNP) mismatch based on all non-HLA functional SNPs, specifically SNPs coding for transmembrane or secreted proteins as they more likely affect the immune system. We analyzed the association between the non-HLA mismatch scores and ACR in a multivariable Cox regression model per cohort, followed by a weighted meta-analysis. Results: During the first year post-transplantation, 90 of 689 (13%), 161 of 720 (22%), and 48 of 437 (11%) recipients experienced ACR in cohorts 1–3, respectively. Weighted meta-analyses showed that higher mismatch in functional non-HLA SNPs was associated with an increased incidence of ACR (HR 5.99; 95% CI: 1.39–20.08; p =0.011). Moreover, we found a larger effect of mismatch in SNPs coding for transmembrane or secreted proteins on ACR (HR 7.54; 95% CI 1.95–28.79; p =0.003). Sensitivity analyses showed that imputed HLA mismatch did not affect the associations between both non-HLA mismatch scores and ACR. Conclusions: Donor-recipient mismatch of functional non-HLA SNPs overall and, especially, of SNPs encoding transmembrane or secreted proteins correlated with 1-year ACR post-liver transplantation. Identifying high-risk immunological burdens between pairs may prevent early graft rejection and aid in personalizing immunosuppressive therapy. Future studies are, however, needed to validate our findings using a genotyped HLA cohort.
DOI:10.1097/hc9.0000000000000601