Peroxisome proliferator-activated receptor gamma C161T polymorphisms and survival of Japanese patients with immunoglobulin A nephropathy.
Peroxisome proliferator-activated receptor gamma (PPAR gamma) plays an important role in lipid metabolism, insulin sensitivity, atherogenesis, and immune regulation. A genetic polymorphism (C161T) at exon 6 of PPAR gamma gene (PPARG) was reported to be associated with the onset of coronary artery disease. However, there has been no report of an association with renal disease. Genomic DNAs were isolated from 225 Japanese patients with histologically confirmed immunoglobulin A nephropathy (IgAN). The PPARG C161T genotype was determined by polymerase chain reaction-restriction fragment length polymorphism. The association of the polymorphism with renal prognosis in IgAN patients was analyzed using the Kaplan-Meier method and Cox proportional hazard regression model. The PPARG polymorphism was not associated with the renal survival rate. However, when patients were stratified into those either with or without hypertension at the time of diagnosis, the renal survival of the CT/TT genotypes was significantly better in those without hypertension than those with the CC genotype. We report that the PPARG C161T polymorphism is associated with the survival of IgAN patients without hypertension. The T allele of the polymorphism might have a protective effect on the progression of IgAN.
Song
J
J
Division of Clinical Nephrology and Rheumatology, Niigata University Graduate School of Medical and Dental Sciences, Asahimachi-dori, Niigata, Japan.
Sakatsume
M
M
Narita
I
I
Goto
S
S
Omori
K
K
Takada
T
T
Saito
N
N
Ueno
M
M
Gejyo
F
F
D000328:Adult; D000483:Alleles; D005260:Female; D005838:Genotype; D005922:Glomerulonephritis, IGA / Q000235:genetics* / Q000401:mortality / Q000473:pathology; D006801:Humans; D006973:Hypertension / Q000401:mortality; D007564:Japan; D008297:Male; D008875:Middle Aged; D011110:Polymorphism, Genetic; D011379:Prognosis; D018160:Receptors, Cytoplasmic and Nuclear / Q000235:genetics*; D012044:Regression Analysis; D016019:Survival Analysis; D013997:Time Factors; D014157:Transcription Factors / Q000235:genetics*
D018160:Receptors, Cytoplasmic and Nuclear; D014157:Transcription Factors