| Autor: |
Jin-Qian, Dong, Qian-Qian, Ge, Sheng-Hua, Lu, Meng-Shi, Yang, Yuan, Zhuang, Bin, Zhang, Fei, Niu, Xiao-Jian, Xu, Bai-Yun, Liu |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Neural Regeneration Research. 18:155 |
| ISSN: |
1673-5374 |
| DOI: |
10.4103/1673-5374.343886 |
| Popis: |
Proteomics is a powerful tool that can be used to elucidate the underlying mechanisms of diseases and identify new biomarkers. Therefore, it may also be helpful for understanding the detailed pathological mechanism of traumatic brain injury (TBI). In this study, we performed Tandem Mass Tag-based quantitative analysis of cortical proteome profiles in a mouse model of TBI. Our results showed that there were 302 differentially expressed proteins in TBI mice compared with normal mice 7 days after injury. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses showed that these differentially expressed proteins were predominantly involved in inflammatory responses, including complement and coagulation cascades, as well as chemokine signaling pathways. Subsequent transcription factor analysis revealed that the inflammation-related transcription factors NF-κB1, RelA, IRF1, STAT1, and Spi1 play pivotal roles in the secondary injury that occurs after TBI, which further corroborates the functional enrichment for inflammatory factors. Our results suggest that inflammation-related proteins and inflammatory responses are promising targets for the treatment of TBI. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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