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An Evidence-Based Review of Related Metabolites and Metabolic Network Research on Cerebral Ischemia

In recent years, metabolomics analyses have been widely applied to cerebral ischemia research. This paper introduces the latest proceedings of metabolomics research on cerebral ischemia. The main techniques, models, animals, and biomarkers of cerebral ischemia will be discussed. With analysis help f...

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Detalles Bibliográficos
Autores principales: Liu, Mengting, Tang, Liying, Liu, Xin, Fang, Jing, Zhan, Hao, Wu, Hongwei, Yang, Hongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871976/
https://www.ncbi.nlm.nih.gov/pubmed/27274780
http://dx.doi.org/10.1155/2016/9162074
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author Liu, Mengting
Tang, Liying
Liu, Xin
Fang, Jing
Zhan, Hao
Wu, Hongwei
Yang, Hongjun
author_facet Liu, Mengting
Tang, Liying
Liu, Xin
Fang, Jing
Zhan, Hao
Wu, Hongwei
Yang, Hongjun
author_sort Liu, Mengting
collection PubMed
description In recent years, metabolomics analyses have been widely applied to cerebral ischemia research. This paper introduces the latest proceedings of metabolomics research on cerebral ischemia. The main techniques, models, animals, and biomarkers of cerebral ischemia will be discussed. With analysis help from the MBRole website and the KEGG database, the altered metabolites in rat cerebral ischemia were used for metabolic pathway enrichment analyses. Our results identify the main metabolic pathways that are related to cerebral ischemia and further construct a metabolic network. These results will provide useful information for elucidating the pathogenesis of cerebral ischemia, as well as the discovery of cerebral ischemia biomarkers.
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spelling pubmed-48719762016-06-05 An Evidence-Based Review of Related Metabolites and Metabolic Network Research on Cerebral Ischemia Liu, Mengting Tang, Liying Liu, Xin Fang, Jing Zhan, Hao Wu, Hongwei Yang, Hongjun Oxid Med Cell Longev Review Article In recent years, metabolomics analyses have been widely applied to cerebral ischemia research. This paper introduces the latest proceedings of metabolomics research on cerebral ischemia. The main techniques, models, animals, and biomarkers of cerebral ischemia will be discussed. With analysis help from the MBRole website and the KEGG database, the altered metabolites in rat cerebral ischemia were used for metabolic pathway enrichment analyses. Our results identify the main metabolic pathways that are related to cerebral ischemia and further construct a metabolic network. These results will provide useful information for elucidating the pathogenesis of cerebral ischemia, as well as the discovery of cerebral ischemia biomarkers. Hindawi Publishing Corporation 2016 2016-05-05 /pmc/articles/PMC4871976/ /pubmed/27274780 http://dx.doi.org/10.1155/2016/9162074 Text en Copyright © 2016 Mengting Liu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Liu, Mengting
Tang, Liying
Liu, Xin
Fang, Jing
Zhan, Hao
Wu, Hongwei
Yang, Hongjun
An Evidence-Based Review of Related Metabolites and Metabolic Network Research on Cerebral Ischemia
title An Evidence-Based Review of Related Metabolites and Metabolic Network Research on Cerebral Ischemia
title_full An Evidence-Based Review of Related Metabolites and Metabolic Network Research on Cerebral Ischemia
title_fullStr An Evidence-Based Review of Related Metabolites and Metabolic Network Research on Cerebral Ischemia
title_full_unstemmed An Evidence-Based Review of Related Metabolites and Metabolic Network Research on Cerebral Ischemia
title_short An Evidence-Based Review of Related Metabolites and Metabolic Network Research on Cerebral Ischemia
title_sort evidence-based review of related metabolites and metabolic network research on cerebral ischemia
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871976/
https://www.ncbi.nlm.nih.gov/pubmed/27274780
http://dx.doi.org/10.1155/2016/9162074
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