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Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections

Metabolomics is an analytical approach that involves profiling and comparing the metabolites present in biological samples. This scoping review article offers an overview of current metabolomics approaches and their utilization in evaluating metabolic changes in biological fluids that occur in respo...

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Detalles Bibliográficos
Autores principales: Al-Sulaiti, Haya, Almaliti, Jehad, Naman, C. Benjamin, Al Thani, Asmaa A., Yassine, Hadi M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456346/
https://www.ncbi.nlm.nih.gov/pubmed/37623891
http://dx.doi.org/10.3390/metabo13080948
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author Al-Sulaiti, Haya
Almaliti, Jehad
Naman, C. Benjamin
Al Thani, Asmaa A.
Yassine, Hadi M.
author_facet Al-Sulaiti, Haya
Almaliti, Jehad
Naman, C. Benjamin
Al Thani, Asmaa A.
Yassine, Hadi M.
author_sort Al-Sulaiti, Haya
collection PubMed
description Metabolomics is an analytical approach that involves profiling and comparing the metabolites present in biological samples. This scoping review article offers an overview of current metabolomics approaches and their utilization in evaluating metabolic changes in biological fluids that occur in response to viral infections. Here, we provide an overview of metabolomics methods including high-throughput analytical chemistry and multivariate data analysis to identify the specific metabolites associated with viral infections. This review also focuses on data interpretation and applications designed to improve our understanding of the pathogenesis of these viral diseases.
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spelling pubmed-104563462023-08-26 Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections Al-Sulaiti, Haya Almaliti, Jehad Naman, C. Benjamin Al Thani, Asmaa A. Yassine, Hadi M. Metabolites Review Metabolomics is an analytical approach that involves profiling and comparing the metabolites present in biological samples. This scoping review article offers an overview of current metabolomics approaches and their utilization in evaluating metabolic changes in biological fluids that occur in response to viral infections. Here, we provide an overview of metabolomics methods including high-throughput analytical chemistry and multivariate data analysis to identify the specific metabolites associated with viral infections. This review also focuses on data interpretation and applications designed to improve our understanding of the pathogenesis of these viral diseases. MDPI 2023-08-15 /pmc/articles/PMC10456346/ /pubmed/37623891 http://dx.doi.org/10.3390/metabo13080948 Text en © 2023 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
Al-Sulaiti, Haya
Almaliti, Jehad
Naman, C. Benjamin
Al Thani, Asmaa A.
Yassine, Hadi M.
Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections
title Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections
title_full Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections
title_fullStr Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections
title_full_unstemmed Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections
title_short Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections
title_sort metabolomics approaches for the diagnosis, treatment, and better disease management of viral infections
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456346/
https://www.ncbi.nlm.nih.gov/pubmed/37623891
http://dx.doi.org/10.3390/metabo13080948
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