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ORIGINAL ARTICLE
Year : 2020  |  Volume : 20  |  Issue : 2  |  Page : 98-102

Role of engulfment and cell motility 1 gene polymorphism in type 2 diabetic nephropathy and its association with renal biomarkers: case–control stody


1 Department of Biochemistry, College of Medicine, University of Kerbala, Kerbala Hole, Iraq
2 Department of Medicine, College of Medicine, University of Kerbala, Kerbala Hole, Iraq
3 Department of Biochemistry, College of Sciences, University of Kerbala, Kerbala Hole, Iraq

Correspondence Address:
Dr. Riyadh M Al-Saegh
Department of Biochemistry, College of Medicine, Al-Kafeel Center for Organ Transplantation, University of Kerbala, Al-Husain Medical City, Kerbala Hole, Iraq. +964 P.O.box 1125
Iraq
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jesnt.jesnt_22_19

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Background Diabetic nephropathy (DN) is a serious kidney-related complication of diabetes. It is also called diabetic kidney disease. Up to 40% of people with diabetes eventually develop kidney disease. Several genome-wide association studies have introduced engulfment and cell motility 1 (ELMO1) as a candidate gene that is associated with DN. This study assessed the association of ELMO1 gene polymorphisms with DN to investigate the effects of ELMO1 gene on susceptibility to DN in Kerbala/Iraqi province. Aim The current study aims to identify the role of ELMO1 gene polymorphism, single nucleotide polymorphism (SNP) rs741301, as a candidate gene for susceptibility to DN among patients with type 2 diabetes mellitus and its association with the development and progression of this disease and to verify the relationship between the investigated SNPs of ELMO1 gene with the phenotype changes in particular kidney function tests and other kidney biomarkers that may be seen in patient. Patients and methods A case–control study was conducted for a period of 14 months, starting from January 2018 to March 2019, in Al-Husain Medical City and Al-Kafeel Super Specialty Hospital in Kerbala. A total of 72 participants were divided into two groups: 36 patients with type 2 diabetes with nephropathy and 36 nonnephropathic patients with type 2 diabetes. DNA was extracted from the blood, and then genotyping of the SNP rs741301 was carried out by Tetra ARMS-PCR by using special primers. Results The genotype and allele frequencies were examined under the codominant, dominant, and recessive models with the use of multinomial logistic regression analysis. The patient with DN with the heterozygous genotype GG+AG (odds ratio=5.28, confidence interval=1.35–20.73, P=0.017) were higher than diabetic patients with GG+AG (odds ratio=4.231, confidence interval=1.06–16.97, P=0.042) under with dominant model. Conclusion SNP rs741301 of ELMO1 gene was associated with DN due type 2 diabetes complication in Kerbala/Iraqi province.


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