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Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics

Unstable angina pectoris (UA) is one of the most dangerous clinical symptoms of acute coronary syndrome due to the risk of myocardial ischemia, which can lead to high morbidity and mortality worldwide. Though there are many advantages in understanding the pathophysiology of UA, the identification of...

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Autores principales: Wang, Juan, Xu, Wenjuan, Zhao, Huihui, Chen, Jianxin, Zhu, Bin, Li, Xueli, Deng, Dong, Wang, Jinping, Liu, Junjie, Yu, Yingting, Xiao, Hongbin, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430740/
https://www.ncbi.nlm.nih.gov/pubmed/30770400
http://dx.doi.org/10.1042/BSR20181658
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author Wang, Juan
Xu, Wenjuan
Zhao, Huihui
Chen, Jianxin
Zhu, Bin
Li, Xueli
Deng, Dong
Wang, Jinping
Liu, Junjie
Yu, Yingting
Xiao, Hongbin
Wang, Wei
author_facet Wang, Juan
Xu, Wenjuan
Zhao, Huihui
Chen, Jianxin
Zhu, Bin
Li, Xueli
Deng, Dong
Wang, Jinping
Liu, Junjie
Yu, Yingting
Xiao, Hongbin
Wang, Wei
author_sort Wang, Juan
collection PubMed
description Unstable angina pectoris (UA) is one of the most dangerous clinical symptoms of acute coronary syndrome due to the risk of myocardial ischemia, which can lead to high morbidity and mortality worldwide. Though there are many advantages in understanding the pathophysiology of UA, the identification of biomarkers for the diagnosis, prognosis, and treatment of UA remains a challenge in the clinic. A global metabolomics research based on ultra-performance liquid chromatography (UPLC) combined with Q-TOF/MS was performed to discover the metabolic profile of health controls, UA patients, and UA patients with diabetes mellitus (DM), and screen for potential biomarkers. Twenty-seven potential biomarkers were determined using pattern recognition. These biomarkers, which include free fatty acids, amino acids, lysoPE and lysoPC species, and organic acids, can benefit the clinical diagnosis of UA. Pathway analysis indicated that arginine and proline metabolism, glycerophospholipid metabolism, and purine metabolism were affected in the UA patients, uniquely. Additionally, alterations in the metabolic signatures between UA and UA-complicated DM were also explored. As a result, six differential metabolites with an area under the curve (AUC) of more than 0.85 were identified as biomarkers for the diagnosis of UA and UA complicated with DM. Pathway analysis implied tryptophan metabolism was a key metabolic pathway in UA patients with DM, which provides new insights into the pathological study and drug discovery of UA.
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spelling pubmed-64307402019-04-01 Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics Wang, Juan Xu, Wenjuan Zhao, Huihui Chen, Jianxin Zhu, Bin Li, Xueli Deng, Dong Wang, Jinping Liu, Junjie Yu, Yingting Xiao, Hongbin Wang, Wei Biosci Rep Research Articles Unstable angina pectoris (UA) is one of the most dangerous clinical symptoms of acute coronary syndrome due to the risk of myocardial ischemia, which can lead to high morbidity and mortality worldwide. Though there are many advantages in understanding the pathophysiology of UA, the identification of biomarkers for the diagnosis, prognosis, and treatment of UA remains a challenge in the clinic. A global metabolomics research based on ultra-performance liquid chromatography (UPLC) combined with Q-TOF/MS was performed to discover the metabolic profile of health controls, UA patients, and UA patients with diabetes mellitus (DM), and screen for potential biomarkers. Twenty-seven potential biomarkers were determined using pattern recognition. These biomarkers, which include free fatty acids, amino acids, lysoPE and lysoPC species, and organic acids, can benefit the clinical diagnosis of UA. Pathway analysis indicated that arginine and proline metabolism, glycerophospholipid metabolism, and purine metabolism were affected in the UA patients, uniquely. Additionally, alterations in the metabolic signatures between UA and UA-complicated DM were also explored. As a result, six differential metabolites with an area under the curve (AUC) of more than 0.85 were identified as biomarkers for the diagnosis of UA and UA complicated with DM. Pathway analysis implied tryptophan metabolism was a key metabolic pathway in UA patients with DM, which provides new insights into the pathological study and drug discovery of UA. Portland Press Ltd. 2019-03-22 /pmc/articles/PMC6430740/ /pubmed/30770400 http://dx.doi.org/10.1042/BSR20181658 Text en © 2019 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Articles
Wang, Juan
Xu, Wenjuan
Zhao, Huihui
Chen, Jianxin
Zhu, Bin
Li, Xueli
Deng, Dong
Wang, Jinping
Liu, Junjie
Yu, Yingting
Xiao, Hongbin
Wang, Wei
Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics
title Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics
title_full Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics
title_fullStr Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics
title_full_unstemmed Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics
title_short Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics
title_sort identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430740/
https://www.ncbi.nlm.nih.gov/pubmed/30770400
http://dx.doi.org/10.1042/BSR20181658
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