Exp Mol Med.  2009 Apr;41(4):253-258. 10.3858/emm.2009.41.4.028.

Higher mitochondrial DNA copy number is associated with lower prevalence of microalbuminuria

Affiliations
  • 1Division of Nephrology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • 2ILCHUN Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea. jeongsun@snu.ac.kr
  • 3Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea.
  • 4PSOMA Therapeutics Inc., Seoul, Korea.
  • 5Macrogen Inc., Seoul, Korea.

Abstract

It has been suggested that mitochondrial dysfunction contributes to the initiation and development of atherosclerosis and cardiovascular disease. We examined the association between mitochondrial DNA (mtDNA) copy number and microalbuminuria in a cross-sectional community-based study. We measured peripheral blood mtDNA copy number in 694 adults without chronic kidney disease by a real-time PCR method. The overall prevalence of microalbuminuria (defined as an albumin creatinine ratio of 30 to 299 mg/g) was 4.5%. The prevalence of microalbuminuria decreased progressively from the lower to the upper quartiles of mtDNA copy number (6.9%, 5.7%, 2.9%, and 2.3% in quartiles 1, 2, 3, and 4, respectively, P = 0.017 for trend). Multiple logistic regression models showed that the quartile of mtDNA copy number was independently associated with the prevalence of microalbuminuria (P = 0.01 for trend). Compared with the lowest quartile, the highest quartile had an odds ratio of 0.22 for microalbuminuria (95% confidence interval, 0.05 to 0.87; P = 0.03). Higher mtDNA copy number was associated with the lower prevalence of microalbuminuria in a community-based population.

Keyword

albuminuria; cardiovascular diseases; DNA, mitochondrial; mitochondria; oxidative phosphorylation

MeSH Terms

Adult
Albuminuria/blood/*epidemiology/*genetics
Cross-Sectional Studies
DNA, Mitochondrial/blood/*genetics
Female
*Gene Dosage
Humans
Male
Middle Aged
Regression Analysis
Young Adult
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