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UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat

Diffuse axonal injury (DAI) represents a frequent traumatic brain injury (TBI) type, significantly contributing to the dismal neurological prognosis and high mortality in TBI patients. The increase in mortality can be associated with delayed and nonspecific initial symptoms in DAI patients. Addition...

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Autores principales: Zhang, Peng, Wang, Sheng, Liu, Meiqing, Li, Wenhui, Li, Leilei, Zhu, Shisheng, Nie, Qianyun, Li, Qifu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519327/
https://www.ncbi.nlm.nih.gov/pubmed/36188427
http://dx.doi.org/10.1155/2022/2579489
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author Zhang, Peng
Wang, Sheng
Liu, Meiqing
Li, Wenhui
Li, Leilei
Zhu, Shisheng
Nie, Qianyun
Li, Qifu
author_facet Zhang, Peng
Wang, Sheng
Liu, Meiqing
Li, Wenhui
Li, Leilei
Zhu, Shisheng
Nie, Qianyun
Li, Qifu
author_sort Zhang, Peng
collection PubMed
description Diffuse axonal injury (DAI) represents a frequent traumatic brain injury (TBI) type, significantly contributing to the dismal neurological prognosis and high mortality in TBI patients. The increase in mortality can be associated with delayed and nonspecific initial symptoms in DAI patients. Additionally, the existing approaches for diagnosis and monitoring are either low sensitivity or high cost. Therefore, novel, reliable, and objective diagnostic markers should be developed to diagnose and monitor DAI prognosis. Urine is an optimal sample to detect biomarkers for DAI noninvasively. Therefore, the DAI rat model was established in this work. Meanwhile, the ultraperformance liquid chromatography quadrupole-time-of-flight hybrid mass spectrometry- (UPLC/Q-TOF MS-) untargeted metabolomics approach was utilized to identify the features of urine metabolomics to diagnose DAI. This work included 57 metabolites with significant alterations and 21 abnormal metabolic pathways from the injury groups. Three metabolites, viz., urea, butyric acid, and taurine, were identified as possible biomarkers to diagnose DAI based on the great fold changes (FCs) and biological functions during DAI. The present study detected several novel biomarkers for noninvasively diagnosing and monitoring DAI and helped understand the DAI-associated metabolic events.
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spelling pubmed-95193272022-09-29 UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat Zhang, Peng Wang, Sheng Liu, Meiqing Li, Wenhui Li, Leilei Zhu, Shisheng Nie, Qianyun Li, Qifu Dis Markers Research Article Diffuse axonal injury (DAI) represents a frequent traumatic brain injury (TBI) type, significantly contributing to the dismal neurological prognosis and high mortality in TBI patients. The increase in mortality can be associated with delayed and nonspecific initial symptoms in DAI patients. Additionally, the existing approaches for diagnosis and monitoring are either low sensitivity or high cost. Therefore, novel, reliable, and objective diagnostic markers should be developed to diagnose and monitor DAI prognosis. Urine is an optimal sample to detect biomarkers for DAI noninvasively. Therefore, the DAI rat model was established in this work. Meanwhile, the ultraperformance liquid chromatography quadrupole-time-of-flight hybrid mass spectrometry- (UPLC/Q-TOF MS-) untargeted metabolomics approach was utilized to identify the features of urine metabolomics to diagnose DAI. This work included 57 metabolites with significant alterations and 21 abnormal metabolic pathways from the injury groups. Three metabolites, viz., urea, butyric acid, and taurine, were identified as possible biomarkers to diagnose DAI based on the great fold changes (FCs) and biological functions during DAI. The present study detected several novel biomarkers for noninvasively diagnosing and monitoring DAI and helped understand the DAI-associated metabolic events. Hindawi 2022-09-21 /pmc/articles/PMC9519327/ /pubmed/36188427 http://dx.doi.org/10.1155/2022/2579489 Text en Copyright © 2022 Peng Zhang 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 Research Article
Zhang, Peng
Wang, Sheng
Liu, Meiqing
Li, Wenhui
Li, Leilei
Zhu, Shisheng
Nie, Qianyun
Li, Qifu
UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat
title UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat
title_full UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat
title_fullStr UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat
title_full_unstemmed UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat
title_short UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat
title_sort uplc/q-tof ms-based urine metabonomics study to identify diffuse axonal injury biomarkers in rat
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519327/
https://www.ncbi.nlm.nih.gov/pubmed/36188427
http://dx.doi.org/10.1155/2022/2579489
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