Literature DB >> 11053482

Polymorphism of angiotensin converting enzyme, angiotensinogen, and angiotensin II type 1 receptor genes and end-stage renal failure in IgA nephropathy: IGARAS--a study of 274 Men.

Luc Frimat1, Christophe Philippe2, Marie-Noëlle Maghakian1, Philippe Jonveaux2, Bruno Hurault DE Ligny3, Francis Guillemin4, Michèle Kessler1.   

Abstract

The impact of renin-angiotensin system (RAS) gene polymorphism on the prognosis of IgA nephropathy (IgAN) is still debated. A longitudinal study of renal prognosis in patients with IgAN was conducted to search retrospectively for a genotype-phenotype association between RAS polymorphisms and end-stage renal failure (ESRF). A classification based on serum creatinine (S(cr)) and 24-h proteinuria (24-P) measured at the time of renal biopsy was used to estimate the risk of ESRF in IgAN: stage 1 (S(cr) </= 150 micromol/L and 24-P < 1 g), stage 2 (S(cr) > 150 micromol/L and 24-P < 1 g or S(cr) < or = 150 micromol/L and 24-P > or = 1 g), stage 3 (S(cr) > 150 micromol/L and 24-P > or = 1 g). Deletion/insertion polymorphism (D/I) of the angiotensin I converting enzyme gene, M235T polymorphism (T/M) of the angiotensinogen gene and A1166C polymorphism (C/A) of the angiotensin II type 1 receptor gene were determined in 274 Caucasian men with biopsy-proven IgAN (n = 86, 112, and 76 in stages 1, 2, and 3, respectively). Mean global follow-up was 6 +/- 5 yr after renal biopsy. For stages 1, 2, and 3, ESRF developed in 7 (8. 1%), 39 (34.8%), and 49 (64.4%) cases (P: < 0.0001), 11.7 +/- 4, 5.4 +/- 4, and 2 +/- 2 yr, respectively, after renal biopsy (P: < 0.001). The distributions of the three genotypes into the three stages were similar. Different distributions were observed when patients were grouped by stage and genotype: ID+DD: 72% in stage 1 versus 84.6% in stages 2 + 3 (P: = 0.02; kappa = 0.14); MT+TT: 66.2% in stages 1 + 2 versus 78.9% in stage 3 (P: = 0.04; kappa = 0.09); and AA+AC: 89.9% in stages 1 + 2 versus 97.4% in stage 3 (P: = 0.04; kappa = -0.1). However, with the use of the Cox proportional hazard model, none of the three genotypes was found to have predictive value for renal survival. Compared with S(cr) and 24-P, genotypes DD, TT, and AA are unlikely to serve as clinically useful predictors of ESRF in IgAN.

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Year:  2000        PMID: 11053482     DOI: 10.1681/ASN.V11112062

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


  6 in total

1.  Genetic contribution and associated pathophysiology in end-stage renal disease.

Authors:  Suraksha Agrawal; Ss Agarwal; Sita Naik
Journal:  Appl Clin Genet       Date:  2010-08-05

2.  Prevention of DNA damage in renal transplantation by losartan and enalapril: the role of renin-angiotensin system polymorphisms.

Authors:  Amir Ghorbanihaghjo; Pegah Veisi; Hassan Argani; Mohammad Aghaeishahsavari; Masood Noroozianavval; Nadereh Rashtchizadeh; Mehran Mesgari; Javid Safa; Hosain Babaei
Journal:  Clin Exp Nephrol       Date:  2008-01-05       Impact factor: 2.801

3.  Renin-angiotensin system gene polymorphisms: association with susceptibility to Henoch-Schonlein purpura and renal involvement.

Authors:  Ozan Ozkaya; Oğuz Söylemezoğlu; Sevim Gönen; Müge Misirlioğlu; Serdar Tuncer; Süleyman Kalman; Necla Buyan; Enver Hasanoğlu
Journal:  Clin Rheumatol       Date:  2006-03-07       Impact factor: 2.980

4.  The Influence of ACE Insertion/Deletion Gene Polymorphism on the Risk of IgA Nephropathy: A Debatable Topic.

Authors:  Fen-Fen Chu; Shi-Kun Yang; Wen-Li Zeng
Journal:  Genet Res (Camb)       Date:  2021-11-18       Impact factor: 1.588

5.  A scoring system to predict renal outcome in IgA nephropathy: a nationwide 10-year prospective cohort study.

Authors:  Masashi Goto; Kenji Wakai; Takashi Kawamura; Masahiko Ando; Masayuki Endoh; Yasuhiko Tomino
Journal:  Nephrol Dial Transplant       Date:  2009-06-10       Impact factor: 5.992

6.  The role of genetic polymorphisms of the Renin-Angiotensin System in renal diseases: A meta-analysis.

Authors:  Georgia G Braliou; Athina-Maria G Grigoriadou; Panagiota I Kontou; Pantelis G Bagos
Journal:  Comput Struct Biotechnol J       Date:  2014-06-11       Impact factor: 7.271

  6 in total

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