Lipidomic Profiling of Di- and Tri-Acylglycerol Species in Weight-Controlled Mice

King, Brenee; Lu, Lizhi; Miao, Yu; Jiang, Yu; Standard, Joseph; Su, Xiaoyu; Zhao, Zhihui; Wang, Weiqun

doi:10.1371/journal.pone.0116398

Cited by 8 publications

(12 citation statements)

References 36 publications

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“…When fragmented with a collision gas, triglyceride [M+NH 4 ] + adducts undergo a characteristic neutral loss of [RCO 2 H+NH 3 ] (where RCO 2 H is a constituent fatty acid, e.g. R = C 11 H 23 for the saturated C12-fatty acid, lauric acid), for each fatty acid component of the TG (King et al, 2015). Our MS/MS analyses revealed only a single [RCO 2 H+NH 3 ] neutral loss fragment ion from feature 88, corresponding to [C 11 H 23 CO 2 H + NH 3 ] (Figures 4F and 4G).…”

Section: Resultsmentioning

confidence: 99%

Peripheral Circadian Clocks Mediate Dietary Restriction-Dependent Changes in Lifespan and Fat Metabolism in Drosophila

et al. 2016

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Endogenous circadian clocks orchestrate several metabolic and signaling pathways that are known to modulate lifespan, suggesting clocks as potential targets for manipulation of metabolism and lifespan. We report here that the core circadian clock genes, timeless (tim) and period (per), are required for the metabolic and lifespan responses to DR in Drosophila. Consistent with the involvement of a circadian mechanism, DR enhances the amplitude of cycling of most circadian clock genes, including tim, in peripheral tissues. Mass spectrometry-based lipidomic analysis suggests a role of tim in cycling of specific medium chain triglycerides under DR. Furthermore, overexpression of tim in peripheral tissues improves its oscillatory amplitude and extends lifespan under ad libitum conditions. Importantly, effects of tim on lifespan appear to be mediated through enhanced fat turnover. These findings identify a critical role for specific clock genes in modulating the effects of nutrient manipulation on fat metabolism and aging.

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Section: Resultsmentioning

confidence: 99%

Peripheral Circadian Clocks Mediate Dietary Restriction-Dependent Changes in Lifespan and Fat Metabolism in Drosophila

et al. 2016

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“…Therefore, the main lipid effects and lipid-environment interactions are penalized on individual and group levels, separately, which leads to a formulation of both MCP and group MCP penalties. Although our model has been motivated from a specific lipidomics profiling study in weight controlled mice [15], it can be readily extended to accommodate more general cases in interaction studies where the environmental factors are not dummy variables formulated from the ANOVA setting. In such a case, for each lipid factor, the main lipid effects and lipid-environment interactions form a group, with the leading component of the group being a vector of 1s.…”

Section: Penalized Identificationmentioning

confidence: 99%

“…We applied the proposed and alternative methods on a dataset from one of our previous studies in animal models [15]. In the study, 60 female CD-1 mice were assigned to four different treatment groups, which were control (ad libitum feeding and sedentary), AE (exercise and ad libitum feeding), PE (exercise and pair feeding), and DCR (sedentary and 20% dietary calorie restriction).…”

Section: Real Data Analysismentioning

confidence: 99%

“…The lipid data were obtained from our previous work on the lipid changes in weight controlled CD-1 mice [15]. In the current study, the phenotype of interest is the body weight of experimental animals, which was measured every week for 10 weeks.…”

Section: Introductionmentioning

confidence: 99%

“…The environmental factor was exercise and/or dietary restriction, which had four different levels, control (ad libitum feeding and sedentary), AE (exercise and ad libitum feeding), PE (exercise and pair feeding), and DCR (sedentary and 20% dietary calorie restriction). Both triacylglycerol (TG) and diacylglycerol (DG) profiles in the plasma were measured using electrospray ionization MS/MS [15]. Here, we focused on the DG profiles and treated them as lipid factors.…”

Section: Introductionmentioning

confidence: 99%

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Penalized Variable Selection for Lipid–Environment Interactions in a Longitudinal Lipidomics Study

Zhou

Ren

et al. 2019

Genes

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Lipid species are critical components of eukaryotic membranes. They play key roles in many biological processes such as signal transduction, cell homeostasis, and energy storage. Investigations of lipid–environment interactions, in addition to the lipid and environment main effects, have important implications in understanding the lipid metabolism and related changes in phenotype. In this study, we developed a novel penalized variable selection method to identify important lipid–environment interactions in a longitudinal lipidomics study. An efficient Newton–Raphson based algorithm was proposed within the generalized estimating equation (GEE) framework. We conducted extensive simulation studies to demonstrate the superior performance of our method over alternatives, in terms of both identification accuracy and prediction performance. As weight control via dietary calorie restriction and exercise has been demonstrated to prevent cancer in a variety of studies, analysis of the high-dimensional lipid datasets collected using 60 mice from the skin cancer prevention study identified meaningful markers that provide fresh insight into the underlying mechanism of cancer preventive effects.

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Gene–Environment Interaction: A Variable Selection Perspective

Zhou

Ren

et al. 2021

Methods in Molecular Biology

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Gene-environment interactions have important implications to elucidate the genetic basis of complex diseases beyond the joint function of multiple genetic factors and their interactions (or epistasis). In the past, G × E interactions have been mainly conducted within the framework of genetic association studies. The high dimensionality of G × E interactions, due to the complicated form of environmental effects and presence of a large number of genetic factors including gene expressions and SNPs, has motivated the recent development of penalized variable selection methods for dissecting G × E interactions, which has been ignored in majority of published reviews on genetic interaction studies. In this article, we first survey existing overviews on both gene-environment and gene-gene interactions. Then, after a brief introduction on the variable selection methods, we review penalization and relevant variable selection methods in marginal and joint paradigms respectively under a variety of conceptual models. Discussions on strengths and limitations, as well as computational aspects of the variable selection methods tailored for G × E studies have also been provided.

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Lipidomic Profiling of Di- and Tri-Acylglycerol Species in Weight-Controlled Mice

Cited by 8 publications

References 36 publications

Peripheral Circadian Clocks Mediate Dietary Restriction-Dependent Changes in Lifespan and Fat Metabolism in Drosophila

Peripheral Circadian Clocks Mediate Dietary Restriction-Dependent Changes in Lifespan and Fat Metabolism in Drosophila

Penalized Variable Selection for Lipid–Environment Interactions in a Longitudinal Lipidomics Study

Gene–Environment Interaction: A Variable Selection Perspective

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