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Full-Text Articles in Lipids
Sex Differences In Insulin Resistance And Triglyceride/Hdl-Cholesterol Ratio In Human Subjects, Jiyoon Jung, Lakshman Segar, Christine Whitehair, James Bailey, Ashley Coleman, George Scott
Sex Differences In Insulin Resistance And Triglyceride/Hdl-Cholesterol Ratio In Human Subjects, Jiyoon Jung, Lakshman Segar, Christine Whitehair, James Bailey, Ashley Coleman, George Scott
Rowan-Virtua Research Day
Background: Insulin resistance (IR) plays a major role in dyslipidemia and the associated cardiovascular disease risk. To date, it remains unclear as to how IR alters plasma lipid profile in males versus females. The present study is an initial step to determine sex-specific differences in IR and plasma lipid profile using 40 μL of capillary blood. Methods: 19 adults aged 30-64 were recruited from Rowan Medicine-Sewell clinics, with 13 participants (9 males, 4 females) consenting to the study. After collecting 40 μL of capillary blood via finger prick, the samples were analyzed for glucose, triglyceride (TG), and HDL-cholesterol (HDL-C) using …
Statin Effects On The Lipidome: Predicting Statin Usage And Implications For Cardiovascular Risk Prediction, Changyu Yi, Kevin Huynh, Yvette Schooneveldt, Gavriel Olshansky, Amy Liang, Tingting Wang, Habtamu B. Beyene, Aleksandar Dakic, Joanne E. Curran, John Blangero
Statin Effects On The Lipidome: Predicting Statin Usage And Implications For Cardiovascular Risk Prediction, Changyu Yi, Kevin Huynh, Yvette Schooneveldt, Gavriel Olshansky, Amy Liang, Tingting Wang, Habtamu B. Beyene, Aleksandar Dakic, Joanne E. Curran, John Blangero
School of Medicine Publications
Statin therapy is a highly successful and cost-effective strategy for the prevention and treatment of cardiovascular diseases (CVD). Adjusting for statin usage is crucial when exploring the association of the lipidome with CVD to avoid erroneous conclusions. However, practical challenges arise in real-world scenarios due to the frequent absence of statin usage information. To address this limitation, we demonstrate that statin usage can be accurately predicted using lipidomic data. Using three large population datasets and a longitudinal clinical study, we show that lipidomic-based statin prediction models exhibit high prediction accuracy in external validation. Furthermore, we introduce a re-weighted model, designed …