Estrogen improved metabolic syndrome through down-regulation of VEGF and HIF-1α to inhibit hypoxia of periaortic and intra-abdominal fat in ovariectomized female rats

2012 
Metabolic syndrome (MBS), a cluster of metabolic abnormalities and visceral fat accumulation, increases cardiovascular risks in postmenopausal women. In addition to visceral fat, perivascular adipose tissue has been recently found to play an important role in vascular pathophysiology. Hence, the present study investigates the effects of estrogen on both intra-abdominal fat (visceral fat) and periaortic fat (perivascular fat) accumulation as well as hypoxia in ovariectomized female rats. Female rats were divided into sham operation, ovariectomy and ovariectomy with 17β-estradiol supplementation groups. Twelve weeks later, we found that estrogen improved MBS via reducing body weight gain, the weight of periaortic and intra-abdominal fat, hepatic triglyceride, and total serum cholesterol levels. Estrogen also increased insulin sensitivity through restoring glucose and serum leptin levels. For periaortic fat, western blot showed estrogen inhibited hypoxia by reducing the levels of VEGF and HIF-1α, which is consistent with the results from immunohistochemical staining. The correlation analysis indicated that perivascular fat had a positive correlation with body weight, intra-abdominal fat or serum total cholesterol, but a negative correlation with insulin sensitivity index. For intra-abdominal fat, real-time fluorescent RT-PCR showed estrogen improved fat dysfunction via reducing the levels of relative leptin, MCP-1 but increasing adiponectin mRNA. Estrogen reduced the levels of VEGF and HIF-1α to inhibit hypoxia but restored the levels of PPARγ and Srebp-1c, which are important for lipid capacity function of intra-abdominal fat. These results demonstrated estrogen improved MBS through down-regulating VEGF and HIF-1α to inhibit hypoxia of periaortic and intra-abdominal fat in ovariectomized female rats.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    42
    References
    34
    Citations
    NaN
    KQI
    []