Literature DB >> 11841615

Approaches to understanding susceptibility to nephropathy: from genetics to genomics.

Sudha K Iyengar1, Jeffrey R Schelling, John R Sedor.   

Abstract

The incidence of end-stage renal disease (ESRD) is increasing worldwide despite efforts to slow the progression of chronic renal failure (CRF) by controlling blood pressure and hyperglycemia. Two available therapies for ESRD, dialysis and transplantation, are expensive and are at best palliative. Recently, data from several laboratories have demonstrated that ESRD is under substantial genetic control, and efforts to identify these genetic determinants are underway. Identifying genes for ESRD pathogenesis has several goals. First, understanding the genetic basis of ESRD offers a means to clarify the mechanisms that result in kidney pathobiology. Second, better and new treatments for prevention of progression of CRF to ESRD may be developed. Third, individuals at risk could be identified early in their course and targeted for intensive therapy. Finally, the products of genes causing disease become target molecules for gene therapy. In this article, we discuss data from our laboratories, which employ two different molecular genetic strategies for identifying ESRD pathogenesis genes. In contrast to traditional experimental design, both approaches are hypothesis generating, identifying candidate molecules for further study, rather than hypothesis driven and may provide novel insights into mechanisms of renal disease progression.

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Year:  2002        PMID: 11841615     DOI: 10.1046/j.1523-1755.2002.0610s1061.x

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  3 in total

Review 1.  Perspectives on systems biology applications in diabetic kidney disease.

Authors:  Claudiu V Komorowsky; Frank C Brosius; Subramaniam Pennathur; Matthias Kretzler
Journal:  J Cardiovasc Transl Res       Date:  2012-06-26       Impact factor: 4.132

Review 2.  Defining human diabetic nephropathy on the molecular level: integration of transcriptomic profiles with biological knowledge.

Authors:  Sebastian Martini; Felix Eichinger; Viji Nair; Matthias Kretzler
Journal:  Rev Endocr Metab Disord       Date:  2008-12       Impact factor: 6.514

3.  Sickle cell trait is not associated with chronic kidney disease in adult Congolese patients: a clinic-based, cross-sectional study.

Authors:  K Mukendi; F B Lepira; J R Makulo; K E Sumaili; P K Kayembe; M N Nseka
Journal:  Cardiovasc J Afr       Date:  2015 May-Jun       Impact factor: 1.167

  3 in total

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