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Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase
BACKGROUND: Traumatic brain injury (TBI) has increased in rank among traumatic injuries worldwide. Traumatic brain injury is a serious obstacle given that its complex pathology represents a long‐term process. Recently, systems biology strategies such as metabolomics to investigate the multifactorial...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010586/ https://www.ncbi.nlm.nih.gov/pubmed/31908160 http://dx.doi.org/10.1002/brb3.1520 |
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author | Zheng, Fei Zhou, Yan‐Tao Feng, Dan‐Dan Li, Peng‐Fei Tang, Tao Luo, Jie‐Kun Wang, Yang |
author_facet | Zheng, Fei Zhou, Yan‐Tao Feng, Dan‐Dan Li, Peng‐Fei Tang, Tao Luo, Jie‐Kun Wang, Yang |
author_sort | Zheng, Fei |
collection | PubMed |
description | BACKGROUND: Traumatic brain injury (TBI) has increased in rank among traumatic injuries worldwide. Traumatic brain injury is a serious obstacle given that its complex pathology represents a long‐term process. Recently, systems biology strategies such as metabolomics to investigate the multifactorial nature of TBI have facilitated attempts to find biomarkers and probe molecular pathways for its diagnosis and therapy. METHODS: This study included a group of 20 rats with controlled cortical impact and a group of 20 sham rats. We utilized mNSS tests to investigate neurological metabolic impairments on day 1 and day 3. Furthermore, we applied metabolomics and bioinformatics to determine the metabolic perturbation caused by TBI during the acute period in the hippocampus tissue of controlled cortical impact (CCI) rats. Notably, TBI–protein–metabolite subnetworks identified from a database were assessed for associations between metabolites and TBI by the dysregulation of related enzymes and transporters. RESULTS: Our results identified 7 and 8 biomarkers on day 1 and day 3, respectively. Additionally, related pathway disorders showed effects on arginine and proline metabolism as well as taurine and hypotaurine metabolism on day 3 in acute TBI. Furthermore, according to metabolite–protein database searches, 25 metabolite–protein pairs were established as causally associated with TBI. Further, bioinformation indicated that these TBI‐associated proteins mainly take part in 5′‐nucleotidase activity and carboxylic acid transmembrane transport. In addition, interweaved networks were constructed to show that the development of TBI might be affected by metabolite‐related proteins and their protein pathways. CONCLUSION: The overall results show that acute TBI is susceptible to metabolic disorders, and the joint metabolite–protein network analysis provides a favorable prediction of TBI pathogenesis mechanisms in the brain. The signatures in the hippocampus might be promising for the development of biomarkers and pathways relevant to acute TBI and could further guide testable predictions of the underlying mechanism of TBI. |
format | Online Article Text |
id | pubmed-7010586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70105862020-02-13 Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase Zheng, Fei Zhou, Yan‐Tao Feng, Dan‐Dan Li, Peng‐Fei Tang, Tao Luo, Jie‐Kun Wang, Yang Brain Behav Original Research BACKGROUND: Traumatic brain injury (TBI) has increased in rank among traumatic injuries worldwide. Traumatic brain injury is a serious obstacle given that its complex pathology represents a long‐term process. Recently, systems biology strategies such as metabolomics to investigate the multifactorial nature of TBI have facilitated attempts to find biomarkers and probe molecular pathways for its diagnosis and therapy. METHODS: This study included a group of 20 rats with controlled cortical impact and a group of 20 sham rats. We utilized mNSS tests to investigate neurological metabolic impairments on day 1 and day 3. Furthermore, we applied metabolomics and bioinformatics to determine the metabolic perturbation caused by TBI during the acute period in the hippocampus tissue of controlled cortical impact (CCI) rats. Notably, TBI–protein–metabolite subnetworks identified from a database were assessed for associations between metabolites and TBI by the dysregulation of related enzymes and transporters. RESULTS: Our results identified 7 and 8 biomarkers on day 1 and day 3, respectively. Additionally, related pathway disorders showed effects on arginine and proline metabolism as well as taurine and hypotaurine metabolism on day 3 in acute TBI. Furthermore, according to metabolite–protein database searches, 25 metabolite–protein pairs were established as causally associated with TBI. Further, bioinformation indicated that these TBI‐associated proteins mainly take part in 5′‐nucleotidase activity and carboxylic acid transmembrane transport. In addition, interweaved networks were constructed to show that the development of TBI might be affected by metabolite‐related proteins and their protein pathways. CONCLUSION: The overall results show that acute TBI is susceptible to metabolic disorders, and the joint metabolite–protein network analysis provides a favorable prediction of TBI pathogenesis mechanisms in the brain. The signatures in the hippocampus might be promising for the development of biomarkers and pathways relevant to acute TBI and could further guide testable predictions of the underlying mechanism of TBI. John Wiley and Sons Inc. 2019-11-17 /pmc/articles/PMC7010586/ /pubmed/31908160 http://dx.doi.org/10.1002/brb3.1520 Text en © 2020 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Zheng, Fei Zhou, Yan‐Tao Feng, Dan‐Dan Li, Peng‐Fei Tang, Tao Luo, Jie‐Kun Wang, Yang Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase |
title | Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase |
title_full | Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase |
title_fullStr | Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase |
title_full_unstemmed | Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase |
title_short | Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase |
title_sort | metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010586/ https://www.ncbi.nlm.nih.gov/pubmed/31908160 http://dx.doi.org/10.1002/brb3.1520 |
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