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The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome

Despite advances in the treatment of coronary diseases, acute coronary syndrome (ACS) remains the leading cause of death worldwide. ACS is associated with metabolic abnormalities of lipid oxidation stress. In this study, based on liquid chromatograph mass spectrometry technique, we conducted the met...

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Autores principales: Jiang, Huali, Jiang, Hualong, Zhang, Jian, Chen, Weijie, Luo, Changyou, Li, Heng, Hau, William, Chen, Benfa, Wang, Shanhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386197/
https://www.ncbi.nlm.nih.gov/pubmed/32792969
http://dx.doi.org/10.3389/fphys.2020.00776
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author Jiang, Huali
Jiang, Hualong
Zhang, Jian
Chen, Weijie
Luo, Changyou
Li, Heng
Hau, William
Chen, Benfa
Wang, Shanhua
author_facet Jiang, Huali
Jiang, Hualong
Zhang, Jian
Chen, Weijie
Luo, Changyou
Li, Heng
Hau, William
Chen, Benfa
Wang, Shanhua
author_sort Jiang, Huali
collection PubMed
description Despite advances in the treatment of coronary diseases, acute coronary syndrome (ACS) remains the leading cause of death worldwide. ACS is associated with metabolic abnormalities of lipid oxidation stress. In this study, based on liquid chromatograph mass spectrometry technique, we conducted the metabolic profiling analysis of serum samples from stable plaques (SPs) and vulnerable plaques (VPs) in ACS patients for exploring the potential biomarkers of plaque stability. The results showed that four differential metabolites were identified between the SPs and VPs, including betaine, acetylcarnitine, 1-heptadecanoyl-sn-glycero-3-phosphocholine, and isoundecylic acid. Meanwhile, the diagnostic model was identified using stepwise logistic regression and internally validated with 10-fold cross-validation. We analyzed the correlations between serum metabolic perturbations and plaque stability, and the serum betaine and ejection fraction-based model was established with a good diagnostic efficacy [area under the curve (AUC) = 0.808, sensitivity = 70.6%, and specificity = 80.0%]. In summary, we firstly illustrate the comprehensive serum metabolic profiles in ACS patients, suggesting that the combined model of serum betaine and ejection fraction seems to be used as the potential diagnostic biomarker for the vulnerability of plaque stability.
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spelling pubmed-73861972020-08-12 The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome Jiang, Huali Jiang, Hualong Zhang, Jian Chen, Weijie Luo, Changyou Li, Heng Hau, William Chen, Benfa Wang, Shanhua Front Physiol Physiology Despite advances in the treatment of coronary diseases, acute coronary syndrome (ACS) remains the leading cause of death worldwide. ACS is associated with metabolic abnormalities of lipid oxidation stress. In this study, based on liquid chromatograph mass spectrometry technique, we conducted the metabolic profiling analysis of serum samples from stable plaques (SPs) and vulnerable plaques (VPs) in ACS patients for exploring the potential biomarkers of plaque stability. The results showed that four differential metabolites were identified between the SPs and VPs, including betaine, acetylcarnitine, 1-heptadecanoyl-sn-glycero-3-phosphocholine, and isoundecylic acid. Meanwhile, the diagnostic model was identified using stepwise logistic regression and internally validated with 10-fold cross-validation. We analyzed the correlations between serum metabolic perturbations and plaque stability, and the serum betaine and ejection fraction-based model was established with a good diagnostic efficacy [area under the curve (AUC) = 0.808, sensitivity = 70.6%, and specificity = 80.0%]. In summary, we firstly illustrate the comprehensive serum metabolic profiles in ACS patients, suggesting that the combined model of serum betaine and ejection fraction seems to be used as the potential diagnostic biomarker for the vulnerability of plaque stability. Frontiers Media S.A. 2020-07-21 /pmc/articles/PMC7386197/ /pubmed/32792969 http://dx.doi.org/10.3389/fphys.2020.00776 Text en Copyright © 2020 Jiang, Jiang, Zhang, Chen, Luo, Li, Hau, Chen and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Jiang, Huali
Jiang, Hualong
Zhang, Jian
Chen, Weijie
Luo, Changyou
Li, Heng
Hau, William
Chen, Benfa
Wang, Shanhua
The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome
title The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome
title_full The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome
title_fullStr The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome
title_full_unstemmed The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome
title_short The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome
title_sort serum metabolic biomarkers in early diagnosis and risk stratification of acute coronary syndrome
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386197/
https://www.ncbi.nlm.nih.gov/pubmed/32792969
http://dx.doi.org/10.3389/fphys.2020.00776
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