TY - JOUR
T1 - Identification of plasma inositol and indoxyl sulfate as novel biomarker candidates for atherosclerosis in patients with type 2 diabetes.-findings from metabolome analysis using GC/MS-
AU - Omori, Kazuo
AU - Katakami, Naoto
AU - Arakawa, Shoya
AU - Yamamoto, Yuichi
AU - Ninomiya, Hiroyo
AU - Takahara, Mitsuyoshi
AU - Matsuoka, Taka Aki
AU - Tsugawa, Hiroshi
AU - Furuno, Masahiro
AU - Bamba, Takeshi
AU - Fukusaki, Eiichiro
AU - Shimomura, Iichiro
N1 - Funding Information:
This research was supported by AMED-CREST, Japan Agency for Medical Research and Development (AMED), under Grant Number JP18gm0710005.
Publisher Copyright:
© 2020 Japan Atherosclerosis Society.
PY - 2020
Y1 - 2020
N2 - Aim: An identification of the high-risk group of atherosclerotic cardiovascular disease (CVD) is important in the management of patients with diabetes. Metabolomics is a potential tool for the discovery of new biomarkers. With this background, we aimed to identify metabolites associated with atherosclerosis in patients with type 2 diabetes mellitus (T2DM). Methods: A total of 176 patients with T2DM who have never had a CVD event and 40 who were survivors of coronary artery disease (CAD) events were enrolled. Non-targeted metabolome analysis of fasting plasma samples was performed using gas chromatography coupled with mass spectrometry (GC/MS) highly optimized for multiple measurement of blood samples. First, metabolites were screened by analyzing the association with the established markers of subclinical atherosclerosis (i.e., carotid maximal intima-media thickness (max-IMT) and flow-mediated vasodilation (FMD)) in the non-CVD subjects. Then, the associations between the metabolites detected and the history of CAD were investigated. Result: A total of 65 annotated metabolites were detected. Non-parametric univariate analysis identified inositol and indoxyl sulfate as significantly (p<0.05) associated with both max-IMT and FMD. These metabolites were also significantly associated with CAD. Moreover, inositol remained to be associated with CAD even after adjust-ments for traditional coronary risk factors. Conclusions: We identified novel biomarker candidates for atherosclerosis in Japanese patients with T2DM using GC/MS-based non-targeted metabolomics.
AB - Aim: An identification of the high-risk group of atherosclerotic cardiovascular disease (CVD) is important in the management of patients with diabetes. Metabolomics is a potential tool for the discovery of new biomarkers. With this background, we aimed to identify metabolites associated with atherosclerosis in patients with type 2 diabetes mellitus (T2DM). Methods: A total of 176 patients with T2DM who have never had a CVD event and 40 who were survivors of coronary artery disease (CAD) events were enrolled. Non-targeted metabolome analysis of fasting plasma samples was performed using gas chromatography coupled with mass spectrometry (GC/MS) highly optimized for multiple measurement of blood samples. First, metabolites were screened by analyzing the association with the established markers of subclinical atherosclerosis (i.e., carotid maximal intima-media thickness (max-IMT) and flow-mediated vasodilation (FMD)) in the non-CVD subjects. Then, the associations between the metabolites detected and the history of CAD were investigated. Result: A total of 65 annotated metabolites were detected. Non-parametric univariate analysis identified inositol and indoxyl sulfate as significantly (p<0.05) associated with both max-IMT and FMD. These metabolites were also significantly associated with CAD. Moreover, inositol remained to be associated with CAD even after adjust-ments for traditional coronary risk factors. Conclusions: We identified novel biomarker candidates for atherosclerosis in Japanese patients with T2DM using GC/MS-based non-targeted metabolomics.
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U2 - 10.5551/jat.52506
DO - 10.5551/jat.52506
M3 - Article
C2 - 31983701
AN - SCOPUS:85087183509
SN - 1340-3478
VL - 27
SP - 1053
EP - 1067
JO - Journal of atherosclerosis and thrombosis
JF - Journal of atherosclerosis and thrombosis
IS - 10
ER -