| Literature DB >> 28663255 |
Abstract
OBJECTIVE: Fatty acids released via fat cell lipolysis can affect circulating lipid levels. However, the contribution of different lipolysis measures in adipose tissue is unknown and was presently examined in isolated subcutaneous adipocytes. APPROACH ANDEntities:
Keywords: catecholamines; cholesterol; insulin; natriuretic peptides; triglycerides
Mesh:
Substances:
Year: 2017 PMID: 28663255 PMCID: PMC5567402 DOI: 10.1161/ATVBAHA.117.309759
Source DB: PubMed Journal: Arterioscler Thromb Vasc Biol ISSN: 1079-5642 Impact factor: 8.311
Correlation Between Subcutaneous Adipose Lipolysis and Fasting Plasma Lipid Levels
Figure 1.Relationship between adipocyte measures of lipid handling and dyslipidemia. A, Basal lipolysis or (B) antilipolytic insulin sensitivity (insulin pD2) was compared by linear regression with high-density lipoprotein cholesterol (HDL-C) and triglycerides (TGs), respectively. r and P values are detailed in Table 1. C and D, The same adipocyte measures are presented in box plots and were compared in subjects with the highest tertile HDL-C/lowest tertile TG levels (n=184) with that in individuals with the lowest tertile in HDL-C/highest in TG (n=182). Both measures were significantly different in the 2 groups using unpaired t test. P values are indicated.
Relationship Between Fasting Plasma Lipid Levels and Lipolysis in Subcutaneous Fat Cells Corrected for Cofactors
Influence of Cofactors and Lipolysis Parameters Put Together on Plasma Lipid Levels
Figure 2.Findings with basal lipolysis. Relationship between lipolysis (determined by glycerol release in isolated fat cells and corrected for fat cell number) and (A) pieces of adipose tissue, (B) insulin pD2, and (C) circulating free fatty acid (FFA) levels subdivided into tertiles. D, There was a similar relationship between basal lipolysis corrected for total body fat mass and circulating FFA levels subdivided into tertiles. E, Basal lipolysis corrected for total fat mass correlated with circulating FFA levels in the entire cohort (top), in women (middle) and men (bottom). Linear regression analysis was used in (A), (B), and (E). r and P values are indicated. Data in (C) and (D) were compared by ANCOVA, overall P value is given.
Cohort Characteristics