Plasma and urine metabolomic analyses in aortic valve stenosis reveal shared and biofluid-specific changes in metabolite levels

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dc.contributor.author Al Hageh, Cynthia
dc.contributor.author Rahy, Ryan
dc.contributor.author Khazen, Georges
dc.contributor.author Brial, Francois
dc.contributor.author Khnayzer, Rony S.
dc.contributor.author Gauguier, Dominique
dc.contributor.author Zalloua, Pierre A.
dc.date.accessioned 2023-01-13T09:32:28Z
dc.date.available 2023-01-13T09:32:28Z
dc.date.copyright 2020 en_US
dc.date.issued 2023-01-12
dc.identifier.issn 1932-6203 en_US
dc.identifier.uri http://hdl.handle.net/10725/14360
dc.description.abstract Aortic valve stenosis (AVS) is a prevalent condition among the elderly population that eventually requires aortic valve replacement. The lack of reliable biomarkers for AVS poses a challenge for its early diagnosis and the application of preventive measures. Untargeted gas chromatography mass spectrometry (GC-MS) metabolomics was applied in 46 AVS cases and 46 controls to identify plasma and urine metabolites underlying AVS risk. Multivariate data analyses were performed on pre-processed data (e.g. spectral peak alignment), in order to detect changes in metabolite levels in AVS patients and to evaluate their performance in group separation and sensitivity of AVS prediction, followed by regression analyses to test for their association with AVS. Through untargeted analysis of 190 urine and 130 plasma features that could be detected and quantified in the GC-MS spectra, we identified contrasting levels of 22 urine and 21 plasma features between AVS patients and control subjects. Following metabolite assignment, we observed significant changes in the concentration of known metabolites in urine (n = 14) and plasma (n = 15) that distinguish the metabolomic profiles of AVS patients from healthy controls. Associations with AVS were replicated in both plasma and urine for about half of these metabolites. Among these, 2-Oxovaleric acid, elaidic acid, myristic acid, palmitic acid, estrone, myo-inositol showed contrasting trends of regulation in the two biofluids. Only trans-Aconitic acid and 2,4-Di-tert-butylphenol showed consistent patterns of regulation in both plasma and urine. These results illustrate the power of metabolomics in identifying potential disease-associated biomarkers and provide a foundation for further studies towards early diagnostic applications in severe heart conditions that may prevent surgery in the elderly. en_US
dc.language.iso en en_US
dc.title Plasma and urine metabolomic analyses in aortic valve stenosis reveal shared and biofluid-specific changes in metabolite levels en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 200501196 en_US
dc.author.department Natural Sciences en_US
dc.relation.journal PLoS ONE en_US
dc.journal.volume 15 en_US
dc.journal.issue 11 en_US
dc.article.pages 1-18 en_US
dc.identifier.doi https://doi.org/10.1371/journal.pone.0242019 en_US
dc.identifier.ctation Al Hageh, C., Rahy, R., Khazen, G., Brial, F., Khnayzer, R. S., Gauguier, D., & Zalloua, P. A. (2020). Plasma and urine metabolomic analyses in aortic valve stenosis reveal shared and biofluid-specific changes in metabolite levels. Plos one, 15(11), 1-18. en_US
dc.author.email rony.khnayzer@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242019 en_US
dc.orcid.id https://orcid.org/0000-0001-7775-0027 en_US
dc.author.affiliation Lebanese American University en_US

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