Literature DB >> 16336585

Genetics of progressive renal failure in diabetic kidney disease.

Yongmei Liu1, Barry I Freedman.   

Abstract

Diabetic kidney disease is a microvascular complication that is observed in a minority of patients with long-standing hyperglycemia. Diabetic nephropathy (DN) is associated with shortened patient survival, severe morbidity, and increased health care costs. Unfortunately, the incidence rates of DN continue to increase in Western societies, and DN is now the most common reported cause of end-stage renal disease in developed nations. DN results from a complex interplay between inherited and environmental factors. This article reviews the data that support an inherited basis for susceptibility to DN by summarizing familial aggregation studies, genome-wide linkage, and population-based association analyses in diabetic and nondiabetic kidney disease. Recent evidence linking genes involved in the regulation of endothelial function with genetic predisposition to albuminuria is presented. The integration of carefully designed genetic linkage and association studies with gene expression experiments in human and animal models of diabetic kidney disease appear to offer great promise for detecting the molecular mechanisms underlying susceptibility to DN.

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Year:  2005        PMID: 16336585     DOI: 10.1111/j.1523-1755.2005.09917.x

Source DB:  PubMed          Journal:  Kidney Int Suppl        ISSN: 0098-6577            Impact factor:   10.545


  9 in total

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Review 2.  Epigenetic reprogramming and imprinting in origins of disease.

Authors:  Wan-yee Tang; Shuk-mei Ho
Journal:  Rev Endocr Metab Disord       Date:  2007-06       Impact factor: 6.514

Review 3.  Beyond genetics: epigenetic code in chronic kidney disease.

Authors:  Rama S Dwivedi; James G Herman; Timothy A McCaffrey; Dominic S C Raj
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4.  Sequence variants in the PLEKHH2 region are associated with diabetic nephropathy in the GoKinD study population.

Authors:  Christopher N Greene; Lisa M Keong; Suzanne K Cordovado; Patricia W Mueller
Journal:  Hum Genet       Date:  2008-08-28       Impact factor: 4.132

5.  Microarray analysis of multiple candidate genes and associated plasma proteins for nephropathy secondary to type 2 diabetes among Chinese individuals.

Authors:  S C Lim; J J Liu; H Q Low; N G Morgenthaler; Y Li; L Y Yeoh; Y S Wu; S K Goh; C Y Chionh; S H Tan; Y C Kon; P C Soon; Y M Bee; T Subramaniam; C F Sum; K S Chia
Journal:  Diabetologia       Date:  2009-05-05       Impact factor: 10.122

6.  Genetic risk factors for diabetic nephropathy on chromosomes 6p and 7q identified by the set-association approach.

Authors:  K Kanková; A Stejskalová; L Pácal; S Tschoplová; M Hertlová; D Krusová; L Izakovicová-Hollá; M Beránek; A Vasků; S Barral; J Ott
Journal:  Diabetologia       Date:  2007-03-08       Impact factor: 10.122

7.  Increased Expression of Rififylin in A < 330 Kb Congenic Strain is Linked to Impaired Endosomal Recycling in Proximal Tubules.

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Journal:  Front Genet       Date:  2012-08-08       Impact factor: 4.599

8.  Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case-control cohort analysis.

Authors:  Ross K K Leung; Ying Wang; Ronald C W Ma; Andrea O Y Luk; Vincent Lam; Maggie Ng; Wing Yee So; Stephen K W Tsui; Juliana C N Chan
Journal:  BMC Nephrol       Date:  2013-07-23       Impact factor: 2.388

9.  Grape seed proanthocyanidins protect against streptozotocin‑induced diabetic nephropathy by attenuating endoplasmic reticulum stress‑induced apoptosis.

Authors:  Zhaoli Gao; Guangyi Liu; Zhao Hu; Weiwei Shi; Binbin Chen; Peimei Zou; Xianhua Li
Journal:  Mol Med Rep       Date:  2018-06-06       Impact factor: 2.952

  9 in total

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