Literature DB >> 16407421

Diabetic nephropathy: a frontier for personalized medicine.

Katalin Susztak1, Erwin P Böttinger.   

Abstract

Diabetic nephropathy (DNP) develops after latency periods that may vary by several years in approximately one third of patients with diabetes. This diabetic complication is a complex disorder whereby various genetic and environmental factors determine susceptibility and progression to ESRD. Despite rapid research progress, robust predictors to assess prospectively with high precision the risk for DNP in individuals with diabetes are still lacking. Thus, currently available therapies are usually initiated at more advanced stages of DNP characterized by clinically overt manifestations, including increased urinary albumin excretion and decreased glomerular filtration. In addition, although these interventions have proven efficacy in slowing the progression of DNP, they typically cannot prevent ESRD. New insights into the molecular mechanisms that underlie the origin and progression of DNP are emerging rapidly from advanced large-scale genetic and molecular studies in experimental models and humans. Thus, genetic loci that confer risk for albuminuria and/or progression of kidney disease associated with diabetes are being refined to identify the relevant genetic variants in specific genes. Molecular mRNA profiles that are obtained through microarray screens are being validated to elucidate further their potential as molecular markers and to identify new targets for novel preventive or therapeutic approaches aiming at curing DNP. The challenge before the field is to translate the large amount of new genetic and molecular data to empower clinicians and investigators with reliable predictors of DNP for improved design of preventive clinical trials and for individualized clinical management for millions of individuals affected by diabetes worldwide.

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Year:  2006        PMID: 16407421     DOI: 10.1681/ASN.2005101109

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  30 in total

Review 1.  Machine learning, the kidney, and genotype-phenotype analysis.

Authors:  Rachel S G Sealfon; Laura H Mariani; Matthias Kretzler; Olga G Troyanskaya
Journal:  Kidney Int       Date:  2020-04-01       Impact factor: 10.612

2.  Network-centric Analysis of Genetic Predisposition in Diabetic Nephropathy.

Authors:  A Ntemka; F Iliadis; Na Papanikolaou; D Grekas
Journal:  Hippokratia       Date:  2011-07       Impact factor: 0.471

3.  Growth hormone (GH)-dependent expression of a natural antisense transcript induces zinc finger E-box-binding homeobox 2 (ZEB2) in the glomerular podocyte: a novel action of gh with implications for the pathogenesis of diabetic nephropathy.

Authors:  P Anil Kumar; Kateryna Kotlyarevska; Prapai Dejkhmaron; Gaddameedi R Reddy; Chunxia Lu; Mahaveer S Bhojani; Ram K Menon
Journal:  J Biol Chem       Date:  2010-08-03       Impact factor: 5.157

4.  Transcriptional and post-translational modulation of myo-inositol oxygenase by high glucose and related pathobiological stresses.

Authors:  Baibaswata Nayak; Vinay K Kondeti; Ping Xie; Sun Lin; Navin Viswakarma; Kirtee Raparia; Yashpal S Kanwar
Journal:  J Biol Chem       Date:  2011-06-07       Impact factor: 5.157

Review 5.  A glimpse of various pathogenetic mechanisms of diabetic nephropathy.

Authors:  Yashpal S Kanwar; Lin Sun; Ping Xie; Fu-You Liu; Sheldon Chen
Journal:  Annu Rev Pathol       Date:  2011       Impact factor: 23.472

6.  Epac1-mediated, high glucose-induced renal proximal tubular cells hypertrophy via the Akt/p21 pathway.

Authors:  Lin Sun; Vinay K Kondeti; Ping Xie; Kirtee Raparia; Yashpal S Kanwar
Journal:  Am J Pathol       Date:  2011-08-18       Impact factor: 4.307

7.  Pathobiology of renal-specific oxidoreductase/myo-inositol oxygenase in diabetic nephropathy: its implications in tubulointerstitial fibrosis.

Authors:  Ping Xie; Lin Sun; Peter J Oates; Satish K Srivastava; Yashpal S Kanwar
Journal:  Am J Physiol Renal Physiol       Date:  2010-03-24

Review 8.  Podocyte-actin dynamics in health and disease.

Authors:  Luca Perico; Sara Conti; Ariela Benigni; Giuseppe Remuzzi
Journal:  Nat Rev Nephrol       Date:  2016-08-30       Impact factor: 28.314

9.  Amelioration of progressive renal injury by genetic manipulation of Klotho gene.

Authors:  Yoshisuke Haruna; Naoki Kashihara; Minoru Satoh; Naruya Tomita; Tamehachi Namikoshi; Tamaki Sasaki; Toshihiko Fujimori; Ping Xie; Yashpal S Kanwar
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-07       Impact factor: 11.205

10.  Rapid 'glycaemic swings' induce nitrosative stress, activate poly(ADP-ribose) polymerase and impair endothelial function in a rat model of diabetes mellitus.

Authors:  E M Horváth; R Benko; L Kiss; M Murányi; T Pék; K Fekete; T Bárány; A Somlai; A Csordás; C Szabo
Journal:  Diabetologia       Date:  2009-03-05       Impact factor: 10.122

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