Residential College | false |
Status | 已發表Published |
Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS | |
Zhou, Yufei1,2; Zhou, Chen1,2; Luo, Gang1,2; Ren, Wei2,3; Dong, Li1,2; Liang, Junjie1,2; Mao, Linshen2,3; Liu, Mengnan1,4; Dong, Yanli1,2; Liang, Pan2,3; Yang, Sijin1,2 | |
2022 | |
Source Publication | Computational and Mathematical Methods in Medicine |
ISSN | 1748-670X |
Volume | 2022 |
Abstract | Background. Stable angina pectoris (SAP) is one of the main types of coronary heart disease (CHD). To improve treatment outcomes, more effective biomarkers are needed. Currently, studies on the metabolic characteristics of SAP are lacking. Here, we explored the serum metabolomic profile of SAP and identified potential biomarkers and related pathways to assist the clinical diagnosis and treatment of SAP. Method. Thirty patients with SAP patients and 30 healthy controls (CON) without stenosis were selected for this study. All patients underwent coronary angiography. The metabolites of the two groups' serum samples were investigated using UHPLC-QE-MS. Changes in serum metabolic profile were evaluated using multivariate statistical analysis and pathway analysis. Result. OPLS-DA analysis identified significant differences in the serum metabolic profiles between patients with SAP and CON. Twenty-five differential metabolites were identified between patients from SAP and CON groups, including choline, creatine, L-arginine, beta-guanidinopropionic acid, isopalmitic acid, xanthine, LysoPC (18: 1), and LysoPC (20: 3). Pathway analysis found that these differential metabolites were involved in energy metabolism, oxidative stress, purine metabolism, and other metabolic pathways. Conclusion. By comparing the serum metabolic profiles of SAP patients with a control group, we identified 25 potential biomarkers that could improve the clinical diagnosis and treatment of SAP. |
DOI | 10.1155/2022/3900828 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Mathematical & Computational Biology |
WOS Subject | Mathematical & Computational Biology |
WOS ID | WOS:000810049800001 |
Scopus ID | 2-s2.0-85131106242 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Corresponding Author | Yang, Sijin |
Affiliation | 1.National Traditional Chinese Medicine Clinical Research Base And Cardiovascular Medicine Department, Traditional Chinese Medicine Hospital, Southwest Medical University, Sichuan, Luzhou, 646000, China 2.College Of Integrated Traditional Chinese And Western Medicine, Southwest Medical University, Luzhou, Sichuan, 646000, China 3.National Traditional Chinese Medicine Clinical Research Base And Drug Research Center, Traditional Chinese Medicine Hospital, Southwest Medical University, Sichuan, Luzhou, 646000, China 4.Faculty Of Chinese Medicine And State Key Laboratory Of Quality Research In Chinese Medicine, Macau University Of Science And Technology, Macao, 999078, Macao |
Recommended Citation GB/T 7714 | Zhou, Yufei,Zhou, Chen,Luo, Gang,et al. Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS[J]. Computational and Mathematical Methods in Medicine, 2022, 2022. |
APA | Zhou, Yufei., Zhou, Chen., Luo, Gang., Ren, Wei., Dong, Li., Liang, Junjie., Mao, Linshen., Liu, Mengnan., Dong, Yanli., Liang, Pan., & Yang, Sijin (2022). Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS. Computational and Mathematical Methods in Medicine, 2022. |
MLA | Zhou, Yufei,et al."Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS".Computational and Mathematical Methods in Medicine 2022(2022). |
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