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Metabolomic analysis of diet-induced type 2 diabetes using UPLC/MS integrated with pattern recognition approach.

ABSTRACT: Metabolomics represents an emerging discipline concerned with comprehensive assessment of small molecule endogenous metabolites in biological systems and provides a powerful approach insight into the mechanisms of diseases. Type 2 diabetes (T2D), called the burden of the 21st century, is growing with an epidemic rate. However, its precise molecular mechanism has not been comprehensively explored. In this study, we applied urinary metabolomics based on the UPLC/MS integrated with pattern recognition approaches to discover differentiating metabolites, to characterize and explore metabolic pathway disruption in an experimental model for high-fat-diet induced T2D. Six differentiating urinary metabolites were found in the negative mode, and two (2-(4-hydroxy-3-methoxy-phenyl) acetaldehyde sulfate, 2-phenylethanol glucuronide) of which were identified involving the key metabolic pathways linked to pentose and glucuronate interconversions, starch, sucrose metabolism and tyrosine metabolism. Our study provides new insight into pathophysiologic mechanisms and may enhance the understanding of T2D pathogenesis.

SUBMITTER: Sun H

PROVIDER: S-EPMC3966886 | biostudies-other | 2014

REPOSITORIES: biostudies-other

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Metabolomic analysis of diet-induced type 2 diabetes using UPLC/MS integrated with pattern recognition approach.

Sun Hui H Zhang Shuxiang S Zhang Aihua A Yan Guangli G Wu Xiuhong X Han Ying Y Wang Xijun X

PloS one 20140326 3

Metabolomics represents an emerging discipline concerned with comprehensive assessment of small molecule endogenous metabolites in biological systems and provides a powerful approach insight into the mechanisms of diseases. Type 2 diabetes (T2D), called the burden of the 21st century, is growing with an epidemic rate. However, its precise molecular mechanism has not been comprehensively explored. In this study, we applied urinary metabolomics based on the UPLC/MS integrated with pattern recognit ...[more]

PMID: 24671089

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Metabolomic analysis of diet-induced type 2 diabetes using UPLC/MS integrated with pattern recognition approach.

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Metabolomic analysis of diet-induced type 2 diabetes using UPLC/MS integrated with pattern recognition approach.

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