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J. Clin. Med. 2019, 8(1), 13; https://doi.org/10.3390/jcm8010013

Metabolic Signature Differentiated Diabetes Mellitus from Lipid Disorder in Elderly Taiwanese

1
Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan City 333, Taiwan
2
Division of Internal Medicine, Chang Gung Memorial Hospital, Taipei 105, Taiwan
3
Department of Health Management, Chang Gung Health and Culture Village, Taoyuan City 333, Taiwan
4
College of Medicine, Chang Gung University, Taoyuan City 333, Taiwan
5
Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
6
Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan City 33302, Taiwan
7
Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 1 November 2018 / Revised: 17 December 2018 / Accepted: 20 December 2018 / Published: 21 December 2018
(This article belongs to the Section Endocrinology & Metabolism)
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Abstract

Aging is a complex progression of biological processes and is the causal contributor to the development of diabetes mellitus (DM). DM is the most common degenerative disease and is the fifth leading cause of death in Taiwan, where the trend of DM mortality has been steadily increasing. Metabolomics, important branch of systems biology, has been mainly utilized to understand endogenous metabolites in biological systems and their dynamic changes as they relate to endogenous and exogenous factors. The purpose of this study was to elucidate the metabolomic profiles in elderly people and its relation to lipid disorder (LD). We collected 486 elderly individuals aged ≥65 years and performed untargeted and targeted metabolite analysis using nuclear magnetic resonance (NMR) spectroscopy and liquid chromatography—mass spectrometry (LC/MS). Several metabolites, including branched-chain amino acids, alanine, glutamate and alpha-aminoadipic acid were elevated in LD compared to the control group. Based on multivariate analysis, four metabolites were selected in the best model to predict DM progression: phosphatidylcholine acyl-alkyl (PC ae) C34:3, PC ae C44:3, SM C24:1 and PCae C36:3. The combined area under the curve (AUC) of those metabolites (0.82) was better for DM classification than individual values. This study found that targeted metabolic signatures not only distinguish the LD within the control group but also differentiated DM from LD in elderly Taiwanese. These metabolites could indicate the nutritional status and act as potential metabolic biomarkers for the elderly in Taiwan. View Full-Text
Keywords: metabolomics; lipid disorder; diabetes mellitus; elderly metabolomics; lipid disorder; diabetes mellitus; elderly
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MDPI and ACS Style

Lo, C.-J.; Tang, H.-Y.; Huang, C.-Y.; Lin, C.-M.; Ho, H.-Y.; Shiao, M.-S.; Cheng, M.-L. Metabolic Signature Differentiated Diabetes Mellitus from Lipid Disorder in Elderly Taiwanese. J. Clin. Med. 2019, 8, 13.

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