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Lipidomic analysis of variation in response to simvastatin in the Cholesterol and Pharmacogenetics Study
Authors:Rima Kaddurah-Daouk  Rebecca A. Baillie  Hongjie Zhu  Zhao-Bang Zeng  Michelle M. Wiest  Uyen Thao Nguyen  Steven M. Watkins  Ronald M. Krauss
Affiliation:(1) Duke University Medical Center, Box 3950, Durham, NC 27710, USA;(2) Rosa & Co. LLC, 751 Laurel St., Suite 127, San Carlos, CA 94070, USA;(3) Lipomics Technologies-Tethys Bioscience, 3410 Industrial Boulevard, West Sacramento, CA 95691, USA;(4) Department of Statistics and Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695-7566, USA;(5) Children’s Hospital Oakland Research Institute, Oakland, CA 94609, USA
Abstract:Statins are commonly used for reducing cardiovascular disease risk but therapeutic benefit and reductions in levels of low-density lipoprotein cholesterol (LDL-C) vary among individuals. Other effects, including reductions in C-reactive protein (CRP), also contribute to treatment response. Metabolomics provides powerful tools to map pathways implicated in variation in response to statin treatment. This could lead to mechanistic hypotheses that provide insight into the underlying basis for individual variation in drug response. Using a targeted lipidomics platform, we defined lipid changes in blood samples from the upper and lower tails of the LDL-C response distribution in the Cholesterol and Pharmacogenetics study. Metabolic changes in responders are more comprehensive than those seen in non-responders. Baseline cholesterol ester and phospholipid metabolites correlated with LDL-C response to treatment. CRP response to therapy correlated with baseline plasmalogens, lipids involved in inflammation. There was no overlap of lipids whose changes correlated with LDL-C or CRP responses to simvastatin suggesting that distinct metabolic pathways govern statin effects on these two biomarkers. Metabolic signatures could provide insights about variability in response and mechanisms of action of statins.
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