Literature DB >> 18242170

Genetic risk factors for renal failure among north Indian ESRD patients.

Gaurav Tripathi1, Raj Kumar Sharma, Vinod Pandirikkal Baburaj, Satya Narayan Sankhwar, Tabrez Jafar, Suraksha Agrawal.   

Abstract

OBJECTIVES: Angiotensin converting enzyme (ACE), G-Protein couple receptor (G-Prot), endothelial nitric oxide synthase (ecNOS), Leptin -2548G/A and uncoupling protein (UCP2) are potent regulators of intra renal hemodynamics and may be the causative factors contributing to the deterioration of renal functions. In recent years few studies have been published to show the association of these markers with the end stage renal disease (ESRD). Our study was designed to see the role of different genetic factors individually and synergistically in the progression of renal failure. DESIGN AND METHODS: The genotypes of these markers were determined by PCR and RFLP. The gene frequencies of ACE, G-protein, ecNOS, Leptin and UCP2 in 184 ESRD patients and 569 healthy controls from North India were compared.
RESULTS: There was a significant difference between ESRD patients and control groups both in the biochemical parameters and genotype frequencies. The genotype distribution of ACE in patients was significantly different from the controls (p=0.0001; OR=9.428; 95% CI=4.56-19.492). There was no difference observed for the GNB3-825 TT genotype and for ecNOS aa genotype in patient and control groups. The distribution of Leptin -2548G/A genotype and UCP2 genotype in patients were significantly different from that of controls (p=0.0013; OR=2.804; 95% CI=1.501-5.237 and p=0.0001; OR=8.853; 95% CI=3.458-22.667 respectively).
CONCLUSIONS: Our results propose that the ACE-DD, Leptin AA and UCP2-DD genotype may be potential genetic markers for predicting the causation and progression of chronic renal failures.

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Year:  2008        PMID: 18242170     DOI: 10.1016/j.clinbiochem.2008.01.009

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  16 in total

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2.  Endothelial nitric oxide synthase intron 4 VNTR gene polymorphisms in European and African populations.

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3.  Contribution of mitochondrial function to exercise-induced attenuation of renal dysfunction in spontaneously hypertensive rats.

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4.  Genetic polymorphism of ACE and the angiotensin II type1 receptor genes in children with chronic kidney disease.

Authors:  Manal F Elshamaa; Samar M Sabry; Hafez M Bazaraa; Hala M Koura; Eman A Elghoroury; Nagwa A Kantoush; Eman H Thabet; Dalia A Abd-El Haleem
Journal:  J Inflamm (Lond)       Date:  2011-08-23       Impact factor: 4.981

5.  End-stage renal disease among Roma and non-Roma: Roma are at risk.

Authors:  Gabriel Kolvek; Katarina Rosicova; Jaroslav Rosenberger; Ludmila Podracka; Roy E Stewart; Iveta Nagyova; Sijmen A Reijneveld; Jitse P van Dijk
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6.  DNA methylation status of the methylenetetrahydrofolate reductase gene promoter in peripheral blood of end-stage renal disease patients.

Authors:  Maivel Ghattas; Fatma El-Shaarawy; Noha Mesbah; Dina Abo-Elmatty
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7.  Association of genetic variants with chronic kidney disease in Japanese individuals.

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Journal:  Clin J Am Soc Nephrol       Date:  2009-04-30       Impact factor: 8.237

8.  Polymorphisms of the UCP2 Gene Are Associated with Glomerular Filtration Rate in Type 2 Diabetic Patients and with Decreased UCP2 Gene Expression in Human Kidney.

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Journal:  PLoS One       Date:  2015-07-28       Impact factor: 3.240

9.  A microRNA-30e/mitochondrial uncoupling protein 2 axis mediates TGF-β1-induced tubular epithelial cell extracellular matrix production and kidney fibrosis.

Authors:  Lei Jiang; Wenjing Qiu; Yang Zhou; Ping Wen; Li Fang; Hongdi Cao; Ke Zen; Weichun He; Chenyu Zhang; Chunsun Dai; Junwei Yang
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Review 10.  Angiotensin-converting enzyme insertion/deletion polymorphism contributes high risk for chronic kidney disease in Asian male with hypertension--a meta-regression analysis of 98 observational studies.

Authors:  Chin Lin; Hsin-Yi Yang; Chia-Chao Wu; Herng-Sheng Lee; Yuh-Feng Lin; Kuo-Cheng Lu; Chi-Ming Chu; Fu-Huang Lin; Sen-Yeong Kao; Sui-Lung Su
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

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