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Metabonomics-based omics study and atherosclerosis

Atherosclerosis results from dyslipidemia and systemic inflammation, associated with the strong metabolism and interaction between diet and disease. Strategies based on the global profiling of metabolism would be important to define the mechanisms involved in pathological alterations. Metabonomics i...

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Detalles Bibliográficos
Autores principales: Wu, Duo-jiao, Zhu, Bi-jun, Wang, Xiang-dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222604/
https://www.ncbi.nlm.nih.gov/pubmed/22040517
http://dx.doi.org/10.1186/2043-9113-1-30
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author Wu, Duo-jiao
Zhu, Bi-jun
Wang, Xiang-dong
author_facet Wu, Duo-jiao
Zhu, Bi-jun
Wang, Xiang-dong
author_sort Wu, Duo-jiao
collection PubMed
description Atherosclerosis results from dyslipidemia and systemic inflammation, associated with the strong metabolism and interaction between diet and disease. Strategies based on the global profiling of metabolism would be important to define the mechanisms involved in pathological alterations. Metabonomics is the quantitative measurement of the dynamic multiparametric metabolic response of living systems to pathophysiological stimuli or genetic modification. Metabonomics has been used in combination with proteomics and transcriptomics as the part of a systems biology description to understand the genome interaction with the development of atherosclerosis. The present review describes the application of metabonomics to explore the potential role of metabolic disturbances and inflammation in the initiation and development of atherosclerosis. Metabonomics-based omics study offers a new potential for biomarker discovery by disentangling the impacts of diet, environment and lifestyle.
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spelling pubmed-32226042011-11-23 Metabonomics-based omics study and atherosclerosis Wu, Duo-jiao Zhu, Bi-jun Wang, Xiang-dong J Clin Bioinforma Review Atherosclerosis results from dyslipidemia and systemic inflammation, associated with the strong metabolism and interaction between diet and disease. Strategies based on the global profiling of metabolism would be important to define the mechanisms involved in pathological alterations. Metabonomics is the quantitative measurement of the dynamic multiparametric metabolic response of living systems to pathophysiological stimuli or genetic modification. Metabonomics has been used in combination with proteomics and transcriptomics as the part of a systems biology description to understand the genome interaction with the development of atherosclerosis. The present review describes the application of metabonomics to explore the potential role of metabolic disturbances and inflammation in the initiation and development of atherosclerosis. Metabonomics-based omics study offers a new potential for biomarker discovery by disentangling the impacts of diet, environment and lifestyle. BioMed Central 2011-10-31 /pmc/articles/PMC3222604/ /pubmed/22040517 http://dx.doi.org/10.1186/2043-9113-1-30 Text en Copyright ©2011 Wu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Wu, Duo-jiao
Zhu, Bi-jun
Wang, Xiang-dong
Metabonomics-based omics study and atherosclerosis
title Metabonomics-based omics study and atherosclerosis
title_full Metabonomics-based omics study and atherosclerosis
title_fullStr Metabonomics-based omics study and atherosclerosis
title_full_unstemmed Metabonomics-based omics study and atherosclerosis
title_short Metabonomics-based omics study and atherosclerosis
title_sort metabonomics-based omics study and atherosclerosis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222604/
https://www.ncbi.nlm.nih.gov/pubmed/22040517
http://dx.doi.org/10.1186/2043-9113-1-30
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