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Association between Human Leukocyte Antigen and End-Stage Renal Disease in Patients from Transylvania, Romania.

Luminita-Ioana Iancu LogaLucia DicanAlin Dan ChioreanVlad Florin ChelaruFlorin Ioan ElecCristina Sorina CatanaMonica Mihaela MartaRoxana-Liana LucaciuAdriana Corina HanganCosmina Ioana BondorMihaela Laura VicaHorea Vladi Matei
Published in: International journal of molecular sciences (2023)
End-stage renal disease (ESRD) is the final stage of chronic kidney disease. This study explored the association between human leukocyte antigen (HLA) and ESRD. The interaction between genetic and environmental factors may also play a role in the development of ESRD. The study included 2392 ESRD patients who were awaiting renal transplantation. Blood samples were genotyped by SSOP and SSP-PCR methods. Multivariate logistic regression analysis showed that HLA-A*11 ( p = 0.027), HLA-A*34 ( p = 0.017), HLA-A*69 ( p = 0.012), HLA-B*41 ( p < 0.001), HLA-B*50 ( p = 0.004), HLA-DRB1*10 ( p = 0.027), and HLA-DRB1*14 ( p = 0.004) were positively associated with ESRD (OR > 1); HLA-DRB1*07 ( p < 0.001), HLA-DRB1*08 ( p = 0.005), and HLA-DRB1*13 ( p < 0.001) were protective against ESRD (OR < 1); and the three-locus haplotype HLA-A*02-B*41-DRB1*03, containing one susceptible allele, was strongly associated with ESRD ( p < 0.001, OR = 3.15). In conclusion, this retrospective analysis of HLA typing in patients with ESRD of various etiologies suggests that molecular data on the HLA polymorphism should be collected in order to identify high-risk ESRD patients and to improve graft survival after kidney transplantation.
Keyphrases
  • end stage renal disease
  • chronic kidney disease
  • peritoneal dialysis
  • endothelial cells
  • gene expression
  • machine learning
  • artificial intelligence
  • cross sectional
  • newly diagnosed
  • deep learning
  • data analysis