Evidence map›Paper›PMID 39726387›Full record

ArticleMedeniyet medical journal2024

Determination of HLA Tissue Type According to the Etiology of Patients with Chronic Renal Failure.

Burcu Karakus Turan, Fahri Ucar, Vural Taner Yilmaz, Yahya Kilinc, Sule Darbaş Aras, Huseyin Kocak, Nurten Sayin Ekinci, Bulent Aydinli, Habibe Sema Arslan

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Article in Medeniyet medical journal, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Burcu Karakus TuranAkdeniz University School of Medicine, Departmant of Medical Biology and Genetics, Antalya, Turkey.ORCID 0000-0002-5113-4135
Fahri UcarAkdeniz University School of Medicine, Departmant of Medical Biology and Genetics, Antalya, Turkey.ORCID 0000-0002-0556-1304
Vural Taner YilmazAkdeniz University Faculty of Medicine, Depertmant of Internal Medicine, Division of Nephrelogy Antalya, Turkey.ORCID 0000-0002-1313-8856
Yahya KilincAkdeniz University School of Medicine, Departmant of Medical Biology and Genetics, Antalya, Turkey.ORCID 0000-0001-6140-3119
Sule Darbaş ArasAkdeniz University School of Medicine, Departmant of Medical Biology and Genetics, Antalya, Turkey.ORCID 0000-0001-6387-9794
Huseyin KocakAkdeniz University Faculty of Medicine, Depertmant of Internal Medicine, Division of Nephrelogy Antalya, Turkey.ORCID 0000-0002-5626-9952
Nurten Sayin EkinciAkdeniz University School of Medicine, Departmant of Medical Biology and Genetics, Antalya, Turkey.ORCID 0000-0001-5010-7955
Bulent AydinliAkdeniz University Faculty of Medicine, Depertmant of General Surgery, Antalya, Turkey.ORCID 0000-0002-2242-1012
Habibe Sema ArslanAkdeniz University School of Medicine, Departmant of Medical Biology and Genetics, Antalya, Turkey.ORCID 0000-0002-2052-9345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Chronic kidney disease (CKD) is a prominent public health concern, is defined as functional and structural damage to the kidneys. This study aims to investigate the association between human leukocyte antigen (HLA) alleles individuals with CKD and the different etiological subgroups of diesease. Methods: Genomic DNA was obtained from peripheral blood samples of 1,079 patients with retrospective CKD and 1,111 healthy control individuals. HLA genotyping was conducted using the Luminex based low-resolution method. Allele frequency distributions were calculated with the help of Arlequin v3.11 population genetics statistics program and SPSS v23.0 program, and p<0.05 values were accepted as significant by chi-square tests. Results: HLA A*02 (21.83%), B*35 (18.30%), DRB1*11 (21.41%) alleles were observed most frequently in individuals with CKD, respectively. In our study, B*08, B*49, B*50 alleles in the HLA B locus (p=0.002, p=0.012 p=0.009) and DRB1*03, *04 alleles in the HLA DRB1 locus (p<0.001, p<0.001) were found positively associated with CKD. A*02, A*11, A*74 alleles at the HLA A locus (p=0.003, p<0.001, p=0.009) and B*27, B*39, B* alleles at the HLA B locus 40, B*59 (p<0.001, p<0.001, p<0.001, p=0.009), DRB1*07, *08, *09, *13, *16 (p<0.001, p=0.012, p=0.007, p<0.001, p<0.001) alleles were determined as negatively associated with the disease. Among the etiological groups of CKD, cystic kidney disease (36.8%), hypertension (16.8%) and urological anomalies (16.6%) were negatively associated with the HLA-DR*13 allele. Conclusions: Since CKD shows serious morbidity and mortality, this comprehensive study of HLA subgroups gave an explanatory idea about which alleles associated with the disease in terms of susceptibility and protection.

Indexed as

Chronic Renal InsufficiencyDNA ProblarıHLApolymerase chain reaction-sequence-specific oligonucleotide probing

Identifiers

PMID39726387
PMCPMC11683293

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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.