Literature DB >> 25804128

ABCG8 polymorphisms and renal disease in type 2 diabetic patients.

Anthony Nicolas1, Sehrish Fatima2, Amel Lamri3, Naima Bellili-Muñoz2, Jean-Michel Halimi4, Pierre-Jean Saulnier5, Samy Hadjadj5, Gilberto Velho2, Michel Marre6, Ronan Roussel6, Frédéric Fumeron7.   

Abstract

BACKGROUND AND AIM: Sterols, bile acids and their receptors have been involved in diabetic nephropathy. The ATP-binding cassette transporters G5 and G8 (ABCG5 and ABCG8) play an important role in intestinal sterol absorption and bile acid secretion. The aim of our study was to assess the associations between two ABCG8 coding polymorphisms, T400K and D19H, and the incidence of renal events in type 2 diabetic subjects.
METHODS: Participants were the 3137 French type 2 diabetic subjects with micro- or macro-albuminuria from the genetic substudy of the DIABHYCAR trial. The mean duration of follow-up was 4years. Renal events were defined as a doubling of serum creatinine concentration or end-stage renal disease at follow-up. We then used a second population (DIAB2NEPHROGENE) of 2140 type 2 diabetic patients for the purpose of validation.
RESULTS: In DIABHYCAR, the 400K allele was significantly associated with a higher risk of incident renal events in a multiple adjusted model (HR: 1.75 [95% CI 1.20-2.56], P=0.003). This association was still significant after further adjustments for baseline values of estimated glomerular filtration rate and urinary albumin excretion. In the validation population, the 400K allele was associated with the prevalence of end-stage renal disease (OR=2.01 [95% CI 1.15-3.54], P=0.015). No significant association was found between the D19H polymorphism and the risk of diabetic nephropathy.
CONCLUSIONS: A polymorphism of the sterol transporter ABCG8 has been associated with the prevalence of end-stage renal disease and with the incidence of new renal events in type 2 diabetic patients.
Copyright © 2015. Published by Elsevier Inc.

Entities:  

Keywords:  ABCG8 transporter; Association study; Diabetic nephropathy; End-stage renal disease; Genetic polymorphisms

Mesh:

Substances:

Year:  2015        PMID: 25804128     DOI: 10.1016/j.metabol.2015.03.005

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  3 in total

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