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Review
. 2012:2012:805683.
doi: 10.1155/2012/805683. Epub 2012 May 16.

Investigating potential mechanisms of obesity by metabolomics

Affiliations
Review

Investigating potential mechanisms of obesity by metabolomics

Baogang Xie et al. J Biomed Biotechnol. 2012.

Abstract

Obesity is a serious health problem with an increased risk of several common diseases including diabetes, cardiovascular disease, and cancer. Metabolomics is an emerging analytical technique for systemic determination of metabolite profiles, which is useful for understanding the biochemical changes in obesity or related diseases both in individual organs and at the organism level. Increasingly, this technology has been applied to the study of obesity, complementing transcriptomics and/or proteomics analyses. Indeed, the alterations of metabolites in biofluids/tissues are direct indicators of variations in physiology or pathology. In this paper, we will examine the obesity-related alterations in significant metabolites that have been identified by metabolomics as well as their metabolic pathway associations. Issues concerning the screening of biologically significant metabolites related to obesity will also be discussed.

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Figure 1
Figure 1
The relationship of obesity-related metabolites in the metabolic network. Metabolites explicitly mentioned in this paper are indicated in boxes and italics. BCAA, branched chain amino acids; TMAO, trimethylamine N-oxide.

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References

    1. Permana PA, Del Parigi A, Tataranni PA. Microarray gene expression profiling in obesity and insulin resistance. Nutrition. 2004;20(1):134–138. - PubMed
    1. Kussmann M, Raymond F, Affolter M. OMICS-driven biomarker discovery in nutrition and health. Journal of Biotechnology. 2006;124(4):758–787. - PubMed
    1. Schmid C, Goede DL, Hauser RS, Brändle M. Increased prevalence of high Body Mass Index in patients presenting with pituitary tumours: severe obesity in patients with macroprolactinoma. Swiss Medical Weekly. 2006;136(15-16):254–258. - PubMed
    1. Hill JO, Trowbridge FL. Childhood obesity: future directions and research priorities. Pediatrics. 1998;101(3):570–574. - PubMed
    1. Aranceta Bartrina J. Prevalence of obesity in developed countries: current status and perspectives. Nutricion Hospitalaria. 2002;17(supplement 1):34–41. - PubMed

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