Genetic variations in peroxisome proliferator-activated receptor γ expression affect blood pressure

Yau Sheng Tsai, Lonquan Xu, Oliver Smithies, Nobuyo Maedaa

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Metabolic syndrome, a clustering of conditions including obesity, insulin resistance, and hypertension, is a risk factor for cardiovascular morbidity and mortality. Because peroxisome proliferator-activated receptor γ (PPARγ) regulates adipocyte differentiation and lipid metabolism and is the molecular target of a class of insulin sensitizers, genetic variants that alter Pparg gene expression are potential contributors to the metabolic syndrome. To test this possibility, we generated mice having 182% of the normal steady-state level of PPARγ mRNA by replacing the 3′-UTR of the natural Pparg gene with that of the β-globin gene, thereby stabilizing the Pparg transcripts. This increase in PPARγ mRNA level had no apparent consequences in various physiological parameters, except that the mice repeatedly showed a trend toward lower blood pressures (by about 3 mm Hg) than their WT littermates. In contrast, the opposite trend, toward increased blood pressure, was observed in mice with genetically reduced levels of PPARγ mRNA as a consequence of insertion of an allele with an mRNA-destabilizing sequence into the endogenous 3′-UTR of the Pparg gene. By combining 12 sets of blood pressure measurements in more than 350 mutant mice having PPARγ expression levels varying from 28% to 182% and more than 280 WT littermates, we show that a 2-fold genetic increase (or decrease) in PPARγ expression levels decreases (or increases) blood pressure by about 2.8 mm Hg. Thus, our experiments demonstrate that quantitative variants causing decreased Pparg expression are a potential causative risk factor for essential hypertension.

Original languageEnglish
Pages (from-to)19084-19089
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume106
Issue number45
DOIs
Publication statusPublished - 2009 Nov 10

All Science Journal Classification (ASJC) codes

  • General

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