Identification of metabolites associated with onset of CAD in diabetic patients using ce-ms analysis: A pilot study

Kazuo Omori, Naoto Katakami, Yuichi Yamamoto, Hiroyo Ninomiya, Mitsuyoshi Takahara, Taka Aki Matsuoka, Takeshi Bamba, Eiichiro Fukusaki, Iichiro Shimomura

    Research output: Contribution to journalArticlepeer-review

    21 Citations (Scopus)

    Abstract

    Aim: Coronary artery disease (CAD) is the result of a complex metabolic disorder caused by various environmental and genetic factors. Metabolomics is a potential tool for identifying biomarkers for better risk classification and for understanding the pathophysiological mechanisms of CAD. With this background, we performed a pilot study to identify metabolites associated with the future onset of CAD in patients with type 2 diabetes. Methods: Sixteen subjects who suffered from CAD event during the observation period and 39 non-CAD subjects who were matched to the CAD subjects for Framingham Coronary Heart Disease Risk Score, diabetes duration, and HbA1c were selected. Capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS) was used to perform non-targeted metabolome analysis of serum samples collected in 2005. Results: A total of 104 metabolites were identified. Unsupervised principal component analysis (PCA) did not to reveal two distinct clusters of individuals. However, a significant association with CAD was found for 7 metabolites (pelargonic acid, glucosamine: galactosamine, thymine, 3-hydroxybutyric acid, creatine, 2-aminoiso-butyric acid, hypoxanthine) and the levels of all these metabolites were significantly lower in the CAD group compared with the non-CAD group. Conclusions: We identified 7 metabolites related to long-term future onset of CAD in Japanese patients with diabetes. Further studies with large sample size would be necessary to confirm our findings, and future studies using in vivo or in vitro models would be necessary to elucidate whether direct relationships exist between the detected metabolites and CAD pathophysiology.

    Original languageEnglish
    Pages (from-to)233-245
    Number of pages13
    JournalJournal of atherosclerosis and thrombosis
    Volume26
    Issue number3
    DOIs
    Publication statusPublished - 2019

    All Science Journal Classification (ASJC) codes

    • Internal Medicine
    • Cardiology and Cardiovascular Medicine
    • Biochemistry, medical

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