Serum Metabolomic Profiles Associated With Untreated Metabolic Syndrome Patients in the Chinese Population
| Autor: | Bizhen Gao, Yuanyuan Li, Yaodong Zhuang, Tetsuya Asakawa, Shujiao Chen, Yongfa Wang, Ping Zhang |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male China Health Knowledge Attitudes Practice Proton Magnetic Resonance Spectroscopy Physiology General Biochemistry Genetics and Molecular Biology Article Metabolomics Patient Education as Topic Medicine Humans In patient General Pharmacology Toxicology and Pharmaceutics KEGG Least-Squares Analysis Aged Metabolic Syndrome Chinese population Principal Component Analysis business.industry General Neuroscience Research Healthy subjects General Medicine Articles Middle Aged medicine.disease Pathophysiology Healthy Volunteers Metabolic pathway Case-Control Studies Disease Progression Female Metabolic syndrome business Biomarkers |
| Zdroj: | Clinical and Translational Science |
| ISSN: | 1752-8062 1752-8054 |
| Popis: | Metabolomics is a promising technology for elucidating the mechanisms of metabolic syndrome (MetS). However, measurements in patients with MetS under different conditions vary. Metabolomics experiments in different populations and pathophysiological conditions are, therefore, indispensable. We performed a serum metabolomics investigation in untreated patients with MetS in the Chinese population. Untreated patients with MetS were recruited to this study. Metabolites were measured using a traditional 1 H nuclear magnetic resonance (NMR) experiment followed by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). Key metabolic pathways were identified by searching the Kyoto Encyclopedia of Genes and Genomes Pathway Database. A total of 28 patients with MetS and 30 healthy subjects were enrolled. All patients were untreated because they were unaware of or neglected to treat their MetS. By 1 H NMR, we identified 49 known substances. Following PCA and OPLS-DA, 36 metabolites were confirmed to be closely associated with MetS compared with the control group; 33 metabolites were increased, whereas 3 metabolites were reduced. Importantly, 14 metabolites that changed in the serum of these untreated patients with MetS were previously unreported. Pathway analysis revealed the top 15 metabolic pathways associated with untreated MetS, which included 3 amino acid metabolic pathways. Our data suggest that untreated patients exhibit a worse pathophysiologic manifestation, which may result in more rapid progression of MetS. Thus, we propose that health education be reinforced to improve the public's knowledge, attitude, and practice regarding MetS. The rates of "untreated" patients due to unawareness and neglect must be reduced immediately. |
| Databáze: | OpenAIRE |
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