Abstract P185: Plasma Lipidome Signature of Visceral Fat Reveals Heterogenous Cardiometabolic Risk Profiles

Circulation(2024)

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摘要
Background: Excessive visceral fat is associated with metabolic alterations and is a causal risk factor for CVD. The plasma lipidome is altered in obesity and lipidome signatures of BMI and obesity have been identified. However, few studies have examined the plasma lipidome in relation to visceral fat. Methods: Plasma lipids were measured using the C8-positive LC-MS method in 671 participants from the HERITAGE Family Study (56% Female, 35% Black, 35 yrs). Visceral fat was measured using CT scans. Linear mixed models were used to test the associations of 193 known plasma lipids with visceral fat adjusting for age, sex, race, and BMI. A FDR<5% was used to determine significance. Results: In individual models, 156 lipid species were significantly associated with visceral fat, with 109 species associated after additional adjustment for BMI ( Fig 1 ). The top positively associated lipids were triglycerides, while cholesterol esters showed the strongest inverse associations with visceral fat. A LASSO regression model retained 73 lipids and explained 78.5% of the variance in visceral fat. Delta visceral fat was calculated as the difference between predicted (from LASSO) and measured visceral fat. Examining quartiles of delta visceral fat showed that discordance between predicted and actual visceral fat was associated with differing cardiometabolic profiles independent of age, sex, race, visceral fat, and BMI. Individuals with higher delta visceral fat (Q4, overpredicted) had significantly (p<1.0x10 -04 ) higher levels of TG, apoB, total cholesterol, LDL-C, and fasting insulin and lower levels of large HDL particles and LPL activity compared to those with lower delta visceral fat (Q1, underpredicted). Conclusions: The plasma lipidome is widely associated with visceral fat levels. A lipidome-based visceral fat score may provide additional information over measured visceral fat for assessment of cardiometabolic health. Further studies are needed to test and validate the clinical utility of such lipidome-based scores.
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