Please use this identifier to cite or link to this item: https://doi.org/10.1073/pnas.1222647110
Title: Extensive diversity in circadian regulation of plasma lipids and evidence for different circadian metabolic phenotypes in humans
Authors: Chua, E.C.-P.
Shui, G. 
Lee, I.T.G.
Lau, P.
Tan, L.-C.
Yeo, S.-C.
Lam, B.D.
Bulchand, S.
Summers, S.A.
Puvanendran, K.
Rozen, S.G. 
Wenk, M.R.
Gooley, J.J.
Keywords: Chronobiology
Metabolomics
Issue Date: 27-Aug-2013
Source: Chua, E.C.-P., Shui, G., Lee, I.T.G., Lau, P., Tan, L.-C., Yeo, S.-C., Lam, B.D., Bulchand, S., Summers, S.A., Puvanendran, K., Rozen, S.G., Wenk, M.R., Gooley, J.J. (2013-08-27). Extensive diversity in circadian regulation of plasma lipids and evidence for different circadian metabolic phenotypes in humans. Proceedings of the National Academy of Sciences of the United States of America 110 (35) : 14468-14473. ScholarBank@NUS Repository. https://doi.org/10.1073/pnas.1222647110
Abstract: The circadian system regulates daily rhythms in lipid metabolism and adipose tissue function. Although disruption of circadian clock function is associated with negative cardiometabolic end points, very little is known about interindividual variation in circadianregulated metabolic pathways. Here, we used targeted lipidomicsbased approaches to profile the time course of 263 lipids in blood plasma in 20 healthy individuals. Over a span of 28 h, blood was collected every 4 h and plasma lipids were analyzed by HPLC/MS. Across subjects, about 13% of lipid metabolites showed circadian variation. Rhythmicity spanned all metabolite classes examined, suggesting widespread circadian control of lipid-mediated energy storage, transport, and signaling. Intersubject agreement for lipids identified as rhythmic was only about 20%, however, and the timing of lipid rhythms ranged up to 12 h apart between individuals. Healthy subjects therefore showed substantial variation in the timing and strength of rhythms across different lipid species. Strong interindividual differences were also observed for rhythms of blood glucose and insulin, but not cortisol. Using consensus clustering with iterative feature selection, subjects clustered into different groups based on strength of rhythmicity for a subset of triglycerides and phosphatidylcholines, suggesting that there are different circadian metabolic phenotypes in the general population. These results have potential implications for lipid metabolism disorders linked to circadian clock disruption.
Source Title: Proceedings of the National Academy of Sciences of the United States of America
URI: http://scholarbank.nus.edu.sg/handle/10635/53431
ISSN: 00278424
DOI: 10.1073/pnas.1222647110
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