Literature DB >> 33504361

iTRAQ-based proteomic profiling reveals protein alterations after traumatic brain injury and supports thyroxine as a potential treatment.

Zhongxiang Zhang1,2, Jiangtao Yu1,2, Pengcheng Wang1,2, Lian Lin1,2, Ruining Liu1,2, Rong Zeng1,2, Haoli Ma3,4, Yan Zhao5,6.   

Abstract

Traumatic brain injury (TBI) is a primary cause of disability and death across the world. Previously, RNA analysis was widely used to study the pathophysiological mechanisms underlying TBI; however, the relatively low correlation between the transcriptome and proteome revealed that RNA transcription abundance does not reliably predict protein abundance, which led to the emergence of proteomic research. In this study, an iTRAQ proteomics approach was applied to detect protein alterations after TBI on a large scale. A total of 3937 proteins were identified, and 146 proteins were significantly changed after TBI. Moreover, 23 upregulated proteins were verified by parallel reaction monitoring (PRM), and fold changes in 16 proteins were consistent with iTRAQ outcomes. Transthyretin (Ttr) upregulation has been demonstrated at the transcriptional level, and this study further confirmed this at the protein level. After treatment with thyroxine (T4), which is transported by Ttr, the effects of T4 on neuronal histopathology and behavioral performance were determined in vivo (TBI + T4 group). Brain edema was alleviated, and the integrity of the blood brain barrier (BBB) improved. Escape latency in the Morris water maze (MWM) declined significantly compared with the group without T4 treatment. Modified neurological severity scores (mNSS) of the TBI + T4 group decreased from day 1 to day 7 post-TBI compared with the TBI + saline group. These results indicate that T4 treatment has potential to alleviate pathologic and behavioral abnormalities post-TBI. Protein alterations after T4 treatment were also detected by iTRAQ proteomics. Upregulation of proteins like Lgals3, Gfap and Apoe after TBI were reversed by T4 treatment. GO enrichment showed T4 mainly affected intermediate filament organization, cholesterol transportation and axonal regeneration. In summary, iTRAQ proteomics provides information about the impact of TBI on protein alterations and yields insight into underlying mechanisms and pathways involved in TBI and T4 treatment. Finally, Ttr and other proteins identified by iTRAQ may become potential novel treatment targets post-TBI.

Entities:  

Keywords:  Mass spectrometry (MS); Parallel reaction monitoring (PRM); Quantitative proteomics; Rat cortex; Thyroxine; Transthyretin; Traumatic brain injury

Year:  2021        PMID: 33504361      PMCID: PMC7839205          DOI: 10.1186/s13041-021-00739-0

Source DB:  PubMed          Journal:  Mol Brain        ISSN: 1756-6606            Impact factor:   4.041


  75 in total

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Journal:  Exp Neurol       Date:  2015-06-03       Impact factor: 5.330

2.  Early Brain Edema is a Predictor of In-Hospital Mortality in Traumatic Brain Injury.

Authors:  Brian Tucker; Jill Aston; Megan Dines; Elena Caraman; Marianne Yacyshyn; Mary McCarthy; James E Olson
Journal:  J Emerg Med       Date:  2017-03-23       Impact factor: 1.484

3.  Guidelines for the Management of Severe Traumatic Brain Injury, Fourth Edition.

Authors:  Nancy Carney; Annette M Totten; Cindy O'Reilly; Jamie S Ullman; Gregory W J Hawryluk; Michael J Bell; Susan L Bratton; Randall Chesnut; Odette A Harris; Niranjan Kissoon; Andres M Rubiano; Lori Shutter; Robert C Tasker; Monica S Vavilala; Jack Wilberger; David W Wright; Jamshid Ghajar
Journal:  Neurosurgery       Date:  2017-01-01       Impact factor: 4.654

4.  Nrf2-ARE signaling provides neuroprotection in traumatic brain injury via modulation of the ubiquitin proteasome system.

Authors:  Hui Ding; Xiaoliang Wang; Handong Wang; Lin Zhu; Qiang Wang; Yue Jia; Wuting Wei; Chenhui Zhou; Heming Wu; Ke Ding
Journal:  Neurochem Int       Date:  2017-04-29       Impact factor: 3.921

5.  Burden of USA hospital charges for traumatic brain injury.

Authors:  Jennifer R Marin; Matthew D Weaver; Rebekah C Mannix
Journal:  Brain Inj       Date:  2016-11-10       Impact factor: 2.311

Review 6.  Mitochondria in traumatic brain injury and mitochondrial-targeted multipotential therapeutic strategies.

Authors:  Gang Cheng; Rong-hua Kong; Lei-ming Zhang; Jian-ning Zhang
Journal:  Br J Pharmacol       Date:  2012-10       Impact factor: 8.739

Review 7.  Cerebral salt wasting after traumatic brain injury: a review of the literature.

Authors:  Jan Leonard; Raymond E Garrett; Kristin Salottolo; Denetta S Slone; Charles W Mains; Matthew M Carrick; David Bar-Or
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2015-11-11       Impact factor: 2.953

8.  Trends in traumatic brain injury mortality in China, 2006-2013: A population-based longitudinal study.

Authors:  Peixia Cheng; Peng Yin; Peishan Ning; Lijun Wang; Xunjie Cheng; Yunning Liu; David C Schwebel; Jiangmei Liu; Jinlei Qi; Guoqing Hu; Maigeng Zhou
Journal:  PLoS Med       Date:  2017-07-11       Impact factor: 11.069

9.  Xenon improves long-term cognitive function, reduces neuronal loss and chronic neuroinflammation, and improves survival after traumatic brain injury in mice.

Authors:  Rita Campos-Pires; Tobias Hirnet; Flavia Valeo; Bee Eng Ong; Konstantin Radyushkin; Jitka Aldhoun; Joanna Saville; Christopher J Edge; Nicholas P Franks; Serge C Thal; Robert Dickinson
Journal:  Br J Anaesth       Date:  2019-05-21       Impact factor: 9.166

Review 10.  Changing patterns in the epidemiology of traumatic brain injury.

Authors:  Bob Roozenbeek; Andrew I R Maas; David K Menon
Journal:  Nat Rev Neurol       Date:  2013-02-26       Impact factor: 42.937

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  3 in total

1.  Comprehensive analysis of circRNA expression profiles in rat cerebral cortex after moderate traumatic brain injury.

Authors:  Gang Li; Shaoping Li; Ruining Liu; Jiangtao Yu; Haoli Ma; Yan Zhao
Journal:  Int J Med Sci       Date:  2022-04-18       Impact factor: 3.642

2.  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

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

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