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Defining Acute Coronary Syndrome through Metabolomics

As an emerging platform technology, metabolomics offers new insights into the pathomechanisms associated with complex disease conditions, including cardiovascular diseases. It also facilitates assessing the risk of developing the disease before its clinical manifestation. For this reason, metabolomi...

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Detalles Bibliográficos
Autores principales: Surendran, Arun, Atefi, Negar, Zhang, Hannah, Aliani, Michel, Ravandi, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540033/
https://www.ncbi.nlm.nih.gov/pubmed/34677400
http://dx.doi.org/10.3390/metabo11100685
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author Surendran, Arun
Atefi, Negar
Zhang, Hannah
Aliani, Michel
Ravandi, Amir
author_facet Surendran, Arun
Atefi, Negar
Zhang, Hannah
Aliani, Michel
Ravandi, Amir
author_sort Surendran, Arun
collection PubMed
description As an emerging platform technology, metabolomics offers new insights into the pathomechanisms associated with complex disease conditions, including cardiovascular diseases. It also facilitates assessing the risk of developing the disease before its clinical manifestation. For this reason, metabolomics is of growing interest for understanding the pathogenesis of acute coronary syndromes (ACS), finding new biomarkers of ACS, and its associated risk management. Metabolomics-based studies in ACS have already demonstrated immense potential for biomarker discovery and mechanistic insights by identifying metabolomic signatures (e.g., branched-chain amino acids, acylcarnitines, lysophosphatidylcholines) associated with disease progression. Herein, we discuss the various metabolomics approaches and the challenges involved in metabolic profiling, focusing on ACS. Special attention has been paid to the clinical studies of metabolomics and lipidomics in ACS, with an emphasis on ischemia/reperfusion injury.
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spelling pubmed-85400332021-10-24 Defining Acute Coronary Syndrome through Metabolomics Surendran, Arun Atefi, Negar Zhang, Hannah Aliani, Michel Ravandi, Amir Metabolites Review As an emerging platform technology, metabolomics offers new insights into the pathomechanisms associated with complex disease conditions, including cardiovascular diseases. It also facilitates assessing the risk of developing the disease before its clinical manifestation. For this reason, metabolomics is of growing interest for understanding the pathogenesis of acute coronary syndromes (ACS), finding new biomarkers of ACS, and its associated risk management. Metabolomics-based studies in ACS have already demonstrated immense potential for biomarker discovery and mechanistic insights by identifying metabolomic signatures (e.g., branched-chain amino acids, acylcarnitines, lysophosphatidylcholines) associated with disease progression. Herein, we discuss the various metabolomics approaches and the challenges involved in metabolic profiling, focusing on ACS. Special attention has been paid to the clinical studies of metabolomics and lipidomics in ACS, with an emphasis on ischemia/reperfusion injury. MDPI 2021-10-06 /pmc/articles/PMC8540033/ /pubmed/34677400 http://dx.doi.org/10.3390/metabo11100685 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Surendran, Arun
Atefi, Negar
Zhang, Hannah
Aliani, Michel
Ravandi, Amir
Defining Acute Coronary Syndrome through Metabolomics
title Defining Acute Coronary Syndrome through Metabolomics
title_full Defining Acute Coronary Syndrome through Metabolomics
title_fullStr Defining Acute Coronary Syndrome through Metabolomics
title_full_unstemmed Defining Acute Coronary Syndrome through Metabolomics
title_short Defining Acute Coronary Syndrome through Metabolomics
title_sort defining acute coronary syndrome through metabolomics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540033/
https://www.ncbi.nlm.nih.gov/pubmed/34677400
http://dx.doi.org/10.3390/metabo11100685
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