Literature DB >> 33131748

TMT-based proteomics analysis to screen potential biomarkers of acute-phase TBI in rats.

Haochen Wang1, Jie Chen2, Cheng Gao2, Wei Chen2, Guang Chen2, Mingyang Zhang2, Chengliang Luo2, Tao Wang2, Xiping Chen3, Luyang Tao4.   

Abstract

AIMS: Traumatic brain injury (TBI) is a common nervous system injury. However, the detailed mechanisms about functional dysregulation and dignostic biomarkers post-TBI are still unclear. So we aimed to identify potential differentially expressed proteins and genes in TBI for clinical diagnosis and therapeutic purposes. MAIN
METHODS: Rat TBI model was established by the weight-drop method. First, through TMT-proteomics, we screened for the change in the proteins expression profile acute phase post-TBI. The DAVID and Reactome databases were used to analyze and visualize the dysregulation proteins. Then, using publicly available microarray datasets GSE45997, differentially expressed genes (DGEs) were identified for the 24 h post-TBI stage. Also, the proteomic data were compared with microarray data to analyze the similarity. KEY
FINDINGS: We found significant proteomics and transcriptomic changes in post-TBI samples. 989, 881, 832, 1057 proteins were quantitated at 1 h, 6 h, 24 h, and 3 d post-injury correspondingly. Concerning proteomics findings, oxygen transport, acute-phase response, and negative regulation of endopeptidase activity were influenced throughout the acute phrase of TBI. Also, pathways related to scavenging of heme from plasma, binding, and uptake of ligands by scavenger receptors were highly enriched in all time-points of TBI samples. SIGNIFICANCE: We noticed that the interaction-networks trend to get complicated with more node connections following the progression of TBI. We inferred that Hk-1, PRKAR2A, and MBP could be novel candidate biomarkers related to time-injury in acute-phase TBI. Also, Ceruloplasmin and Complement C3 were found to be important proteins and genes are involved in the TBI.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Biomarkers; Protein-protein interaction networks; Quantitative proteomics; TMT; Traumatic brain injury

Year:  2020        PMID: 33131748     DOI: 10.1016/j.lfs.2020.118631

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  3 in total

1.  Tandem Mass Tag-based proteomics analysis reveals the vital role of inflammation in traumatic brain injury in a mouse model.

Authors:  Jin-Qian Dong; Qian-Qian Ge; Sheng-Hua Lu; Meng-Shi Yang; Yuan Zhuang; Bin Zhang; Fei Niu; Xiao-Jian Xu; Bai-Yun Liu
Journal:  Neural Regen Res       Date:  2023-01       Impact factor: 6.058

2.  Chronic complement dysregulation drives neuroinflammation after traumatic brain injury: a transcriptomic study.

Authors:  Amer Toutonji; Mamatha Mandava; Silvia Guglietta; Stephen Tomlinson
Journal:  Acta Neuropathol Commun       Date:  2021-07-19       Impact factor: 7.578

3.  Quantitative Proteomics Reveals the Dynamic Pathophysiology Across Different Stages in a Rat Model of Severe Traumatic Brain Injury.

Authors:  Weikang Luo; Zhaoyu Yang; Wei Zhang; Dan Zhou; Xiaohang Guo; Shunshun Wang; Feng He; Yang Wang
Journal:  Front Mol Neurosci       Date:  2022-01-25       Impact factor: 5.639

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.