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Metabolomic Signature of Human Aortic Valve Stenosis

This study outlines the first step toward creating the metabolite atlas of human calcified aortic valves by identifying the expression of metabolites and metabolic pathways involved at various stages of calcific aortic valve stenosis progression. Untargeted analysis identified 72 metabolites and lip...

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Autores principales: Surendran, Arun, Edel, Andrea, Chandran, Mahesh, Bogaert, Pascal, Hassan-Tash, Pedram, Kumar Asokan, Aneesh, Hiebert, Brett, Solati, Zahra, Sandhawalia, Shubhkarman, Raabe, Michael, Kass, Malek, Shah, Ashish, Jassal, Davinder S., Jaleel, Abdul, Ravandi, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775961/
https://www.ncbi.nlm.nih.gov/pubmed/33426374
http://dx.doi.org/10.1016/j.jacbts.2020.10.001
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author Surendran, Arun
Edel, Andrea
Chandran, Mahesh
Bogaert, Pascal
Hassan-Tash, Pedram
Kumar Asokan, Aneesh
Hiebert, Brett
Solati, Zahra
Sandhawalia, Shubhkarman
Raabe, Michael
Kass, Malek
Shah, Ashish
Jassal, Davinder S.
Jaleel, Abdul
Ravandi, Amir
author_facet Surendran, Arun
Edel, Andrea
Chandran, Mahesh
Bogaert, Pascal
Hassan-Tash, Pedram
Kumar Asokan, Aneesh
Hiebert, Brett
Solati, Zahra
Sandhawalia, Shubhkarman
Raabe, Michael
Kass, Malek
Shah, Ashish
Jassal, Davinder S.
Jaleel, Abdul
Ravandi, Amir
author_sort Surendran, Arun
collection PubMed
description This study outlines the first step toward creating the metabolite atlas of human calcified aortic valves by identifying the expression of metabolites and metabolic pathways involved at various stages of calcific aortic valve stenosis progression. Untargeted analysis identified 72 metabolites and lipids that were significantly altered (p < 0.01) across different stages of disease progression. Of these metabolites and lipids, the levels of lysophosphatidic acid were shown to correlate with faster hemodynamic progression and could select patients at risk for faster progression rate.
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spelling pubmed-77759612021-01-07 Metabolomic Signature of Human Aortic Valve Stenosis Surendran, Arun Edel, Andrea Chandran, Mahesh Bogaert, Pascal Hassan-Tash, Pedram Kumar Asokan, Aneesh Hiebert, Brett Solati, Zahra Sandhawalia, Shubhkarman Raabe, Michael Kass, Malek Shah, Ashish Jassal, Davinder S. Jaleel, Abdul Ravandi, Amir JACC Basic Transl Sci Clinical Research This study outlines the first step toward creating the metabolite atlas of human calcified aortic valves by identifying the expression of metabolites and metabolic pathways involved at various stages of calcific aortic valve stenosis progression. Untargeted analysis identified 72 metabolites and lipids that were significantly altered (p < 0.01) across different stages of disease progression. Of these metabolites and lipids, the levels of lysophosphatidic acid were shown to correlate with faster hemodynamic progression and could select patients at risk for faster progression rate. Elsevier 2020-12-16 /pmc/articles/PMC7775961/ /pubmed/33426374 http://dx.doi.org/10.1016/j.jacbts.2020.10.001 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Research
Surendran, Arun
Edel, Andrea
Chandran, Mahesh
Bogaert, Pascal
Hassan-Tash, Pedram
Kumar Asokan, Aneesh
Hiebert, Brett
Solati, Zahra
Sandhawalia, Shubhkarman
Raabe, Michael
Kass, Malek
Shah, Ashish
Jassal, Davinder S.
Jaleel, Abdul
Ravandi, Amir
Metabolomic Signature of Human Aortic Valve Stenosis
title Metabolomic Signature of Human Aortic Valve Stenosis
title_full Metabolomic Signature of Human Aortic Valve Stenosis
title_fullStr Metabolomic Signature of Human Aortic Valve Stenosis
title_full_unstemmed Metabolomic Signature of Human Aortic Valve Stenosis
title_short Metabolomic Signature of Human Aortic Valve Stenosis
title_sort metabolomic signature of human aortic valve stenosis
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775961/
https://www.ncbi.nlm.nih.gov/pubmed/33426374
http://dx.doi.org/10.1016/j.jacbts.2020.10.001
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