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Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS

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 i...

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Autores principales: Zhou, Yufei, Zhou, Chen, Luo, Gang, Ren, Wei, Dong, Li, Liang, Junjie, Mao, Linshen, Liu, Mengnan, Dong, Yanli, Liang, Pan, Yang, Sijin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126663/
https://www.ncbi.nlm.nih.gov/pubmed/35615438
http://dx.doi.org/10.1155/2022/3900828
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author Zhou, Yufei
Zhou, Chen
Luo, Gang
Ren, Wei
Dong, Li
Liang, Junjie
Mao, Linshen
Liu, Mengnan
Dong, Yanli
Liang, Pan
Yang, Sijin
author_facet Zhou, Yufei
Zhou, Chen
Luo, Gang
Ren, Wei
Dong, Li
Liang, Junjie
Mao, Linshen
Liu, Mengnan
Dong, Yanli
Liang, Pan
Yang, Sijin
author_sort Zhou, Yufei
collection PubMed
description 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.
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spelling pubmed-91266632022-05-24 Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS Zhou, Yufei Zhou, Chen Luo, Gang Ren, Wei Dong, Li Liang, Junjie Mao, Linshen Liu, Mengnan Dong, Yanli Liang, Pan Yang, Sijin Comput Math Methods Med Research Article 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. Hindawi 2022-05-16 /pmc/articles/PMC9126663/ /pubmed/35615438 http://dx.doi.org/10.1155/2022/3900828 Text en Copyright © 2022 Yufei Zhou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhou, Yufei
Zhou, Chen
Luo, Gang
Ren, Wei
Dong, Li
Liang, Junjie
Mao, Linshen
Liu, Mengnan
Dong, Yanli
Liang, Pan
Yang, Sijin
Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS
title Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS
title_full Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS
title_fullStr Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS
title_full_unstemmed Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS
title_short Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS
title_sort identification of serum metabolomics characteristics in patients with stable angina pectoris using uhplc-qe-ms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126663/
https://www.ncbi.nlm.nih.gov/pubmed/35615438
http://dx.doi.org/10.1155/2022/3900828
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