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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 PublicationComputational and Mathematical Methods in Medicine
ISSN1748-670X
Volume2022
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.

DOI10.1155/2022/3900828
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaMathematical & Computational Biology
WOS SubjectMathematical & Computational Biology
WOS IDWOS:000810049800001
Scopus ID2-s2.0-85131106242
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorYang, Sijin
Affiliation1.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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