Regional body fat distribution and metabolic profile in postmenopausal women.
ABSTRACT The aim of the study was to examine how body fat distribution variables were associated with metabolic parameters in a sample of 113 postmenopausal women not receiving hormone therapy (56.9 +/- 4.4 years, 28.4 +/- 5.1 kg/m(2)). Body fat distribution variables (visceral adipose tissue [AT], subcutaneous AT, and total midthigh AT) were measured using computed tomography; body fat mass was assessed by hydrostatic weighing; insulin sensitivity was determined with the euglycemic-hyperinsulinemic clamp; fasting plasma glucose (FPG) and 2-hour plasma glucose (2hPG) concentrations were measured by a 75-g oral glucose load; and (high-sensitivity) C-reactive protein (hs-CRP) was measured using a highly sensitive assay. After controlling for fat mass, visceral AT was positively associated with plasma triglyceride, hs-CRP, FPG, and 2hPG, and negatively associated with high-density lipoprotein cholesterol (HDL-C) and insulin sensitivity. Total midthigh AT was negatively associated with apolipoprotein B, FPG, and 2hPG, and positively associated with insulin sensitivity. Stepwise multiple regression analyses including abdominal visceral AT, subcutaneous AT and total midthigh AT as independent variables showed that abdominal visceral AT best predicted the variance in plasma triglyceride, HDL-C, low-density lipoprotein peak particle size, hs-CRP, FPG, 2hPG, and insulin sensitivity. Abdominal subcutaneous AT was a significant predictor of only insulin sensitivity, whereas total midthigh AT predicted HDL-C, low-density lipoprotein peak particle size, and apolipoprotein B. These multivariate analyses also indicated that total midthigh AT was favorably related to these outcomes, whereas abdominal visceral AT and subcutaneous AT were unfavorably related. These results confirmed that abdominal visceral fat is a critical correlate of metabolic parameters in postmenopausal women. In addition, a higher proportion of AT located in the total midthigh depot is associated with a favorable metabolic profile.
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ABSTRACT: Objective We designed a prospective case-control study in order to investigate the lipid profiles, insulin sensitivity, presence of metabolic syndrome (MetS) and the abdominal fat distribution in karyotypically normal women with premature ovarian insufficiency (POI). Methods Anthropometric measurements, FSH, estradiol, total testosterone (T), sex hormone binding globulin (SHBG), free androgen index (FAI), fasting glucose and insulin, homeostatic model for insulin resistance (HOMA-IR), lipid profile, the prevalence of MetS and ultrasonographic abdominal fat measurements were assessed in 56 women with POI and 59 healthy controls at the same age range. Results Serum levels of T, SHBG and FAI were not significantly different between both groups. Total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) were higher in women with POI. There were no differences in glucose, insulin, HOMA-IR, low-density lipoprotein cholesterol (LDL-C), triglyceride levels between the two groups. A significant positive correlation was identified between T and TG and also between FAI and LDL-C; SHBG levels were correlated inversely with FSH, and positively with HDL-C in women with POI. The presence of MetS was significantly higher in women with POI. The subcutaneous, preperitoneal and visceral fat thicknesses were not significantly different between the groups. Conclusions Early cessation of ovulatory function may associated with higher levels of serum TC and HDL-C, but does not seem to cause differences in abdominal fat distribution in women with POI. POI is associated with higher risk of MetS.Maturitas 11/2014; 79(3). DOI:10.1016/j.maturitas.2014.07.008 · 2.86 Impact Factor
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ABSTRACT: Lipolysis is the process by which triglycerides are hydrolyzed to free fatty acids (FFA) and glycerol. In adipocytes, this is achieved by the sequential action of Adipose Triglyceride Lipase (ATGL), Hormone Sensitive Lipase (HSL) and Monoglyceride Lipase (MGL). The activity in the lipolytic pathway is tightly regulated by hormonal and nutritional factors. Under conditions of negative energy balance such as fasting and exercise, stimulation of lipolysis results in a profound increase in FFA release from adipose tissue. This response is crucial in order to provide the organism with a sufficient supply of substrate for oxidative metabolism. However, failure to efficiently suppress lipolysis when FFA demands are low can have serious metabolic consequences and is believed to be a key mechanism in the development of type 2 diabetes in obesity. Since the discovery of ATGL in 2004, substantial progress has been made in the delineation of the remarkable complexity of the regulatory network controlling adipocyte lipolysis. Notably, regulatory mechanisms have been identified on multiple levels of the lipolytic pathway, including gene transcription and translation, post-translational modifications, intracellular localization, protein-protein interactions, and protein stability/degradation. Here, we provide an overview of the recent advances in the field of adipose tissue lipolysis with particular focus on the molecular regulation of the two main lipases, ATGL and HSL and the intracellular and extracellular signals affecting their activity.Journal of Molecular Endocrinology 02/2014; DOI:10.1530/JME-13-0277 · 3.62 Impact Factor
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ABSTRACT: It is believed that the glycemic index (GI) may be used as a strategy to prevent and control noncommunicable diseases (NCD). Obesity is a multifactorial condition, a risk factor for development of other NCDs. Among the different types, abdominal obesity is highlighted, which is essential for the diagnosis of metabolic syndrome, and it is related to insulin resistance, dyslipidemia, hypertension and changes in levels of inflammatory markers. Such indicators are closely related to the development of Type 2 Diabetes and cardiovascular disease.Nutricion hospitalaria: organo oficial de la Sociedad Espanola de Nutricion Parenteral y Enteral 08/2014; 30(n02):237-243. DOI:10.3305/nh.2014.30.2.7506 · 1.25 Impact Factor