• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

创伤性脑损伤的基因表达特征

Gene Expression Signature of Traumatic Brain Injury.

作者信息

Ma Yawen, Liu Yunhui, Ruan Xuelei, Liu Xiaobai, Zheng Jian, Teng Hao, Shao Lianqi, Yang Chunqing, Wang Di, Xue Yixue

机构信息

Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, China.

Department of Neurosurgery, Shengjing Hospital, China Medical University, Shenyang, China.

出版信息

Front Genet. 2021 Mar 30;12:646436. doi: 10.3389/fgene.2021.646436. eCollection 2021.

DOI:10.3389/fgene.2021.646436
PMID:33859672
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8042258/
Abstract

Traumatic brain injury (TBI) is a brain function change caused by external forces, which is one of the main causes of death and disability worldwide. The aim of this study was to identify early diagnostic markers and potential therapeutic targets for TBI. Differences between TBI and controls in GSE89866 and GSE104687 were analyzed. The two groups of differentially expressed genes (DEGs) were combined for coexpression analysis, and the modules of interest were performed using enrichment analysis. Hub genes were identified by calculating area under curve (AUC) values of module genes, PPI network analysis, and functional similarity. Finally, the difference in immune cell infiltration between TBI and control was calculated by ssGSEA. A total of 4,817 DEGs were identified in GSE89866 and 1,329 DEGs in GSE104687. They were clustered into nine modules. The genes of modules 1, 4, and 7 had the most crosstalk and were identified as important modules. Enrichment analysis revealed that they were mainly associated with neurodevelopment and immune inflammation. In the PPI network constructed by genes with top 50 AUC values in module genes, we identified the top 10 genes with the greatest connectivity. Among them, down-regulated RPL27, RPS4X, RPL23A, RPS15A, and RPL7A had similar functions and were identified as hub genes. In addition, DC and Tem were significantly up-regulated and down-regulated between TBI and control, respectively. We found that hub genes may have a diagnostic role for TBI. Molecular dysregulation mechanisms of TBI are associated with neurological and immune inflammation. These results may provide new ideas for the diagnosis and treatment of TBI.

摘要

创伤性脑损伤(TBI)是由外力引起的脑功能改变,是全球范围内死亡和残疾的主要原因之一。本研究的目的是确定TBI的早期诊断标志物和潜在治疗靶点。分析了GSE89866和GSE104687中TBI与对照组之间的差异。将两组差异表达基因(DEG)进行共表达分析,并对感兴趣的模块进行富集分析。通过计算模块基因的曲线下面积(AUC)值、蛋白质-蛋白质相互作用(PPI)网络分析和功能相似性来鉴定枢纽基因。最后,通过单样本基因集富集分析(ssGSEA)计算TBI与对照组之间免疫细胞浸润的差异。在GSE89866中总共鉴定出4817个DEG,在GSE104687中鉴定出1329个DEG。它们被聚类成九个模块。模块1、4和7的基因具有最多的相互作用,被确定为重要模块。富集分析表明,它们主要与神经发育和免疫炎症相关。在由模块基因中AUC值排名前50的基因构建的PPI网络中,我们鉴定出连接性最强的前10个基因。其中,下调的核糖体蛋白L27(RPL27)、核糖体蛋白S4X(RPS4X)、核糖体蛋白L23A(RPL23A)、核糖体蛋白S15A(RPS15A)和核糖体蛋白L7A(RPL7A)具有相似的功能,被确定为枢纽基因。此外,树突状细胞(DC)和效应性记忆T细胞(Tem)在TBI组和对照组之间分别显著上调和下调。我们发现枢纽基因可能对TBI具有诊断作用。TBI的分子失调机制与神经学和免疫炎症相关。这些结果可能为TBI的诊断和治疗提供新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/6727046e594c/fgene-12-646436-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/33f1b0a6a9c5/fgene-12-646436-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/5e0b0a9eb400/fgene-12-646436-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/40389500f24a/fgene-12-646436-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/b688f27e01a4/fgene-12-646436-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/6727046e594c/fgene-12-646436-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/33f1b0a6a9c5/fgene-12-646436-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/5e0b0a9eb400/fgene-12-646436-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/40389500f24a/fgene-12-646436-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/b688f27e01a4/fgene-12-646436-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cf/8042258/6727046e594c/fgene-12-646436-g0005.jpg

相似文献

1
Gene Expression Signature of Traumatic Brain Injury.创伤性脑损伤的基因表达特征
Front Genet. 2021 Mar 30;12:646436. doi: 10.3389/fgene.2021.646436. eCollection 2021.
2
Identification of potential biomarkers and therapeutic targets related to post-traumatic stress disorder due to traumatic brain injury.创伤性脑损伤后创伤后应激障碍相关的潜在生物标志物和治疗靶点的鉴定。
Eur J Med Res. 2024 Jan 11;29(1):44. doi: 10.1186/s40001-024-01640-x.
3
Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and validation.创伤性脑损伤的枢纽基因和关键通路:生物信息学分析与验证
Neural Regen Res. 2020 Dec;15(12):2262-2269. doi: 10.4103/1673-5374.284996.
4
The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.通过高通量数据的生物信息学分析鉴定肝细胞癌中的关键基因和信号通路。
Med Oncol. 2017 Jun;34(6):101. doi: 10.1007/s12032-017-0963-9. Epub 2017 Apr 21.
5
Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis.通过生物信息学分析鉴定炎症性肠病中差异表达的基因、相关功能术语途径及候选诊断生物标志物。
Exp Ther Med. 2019 Jul;18(1):278-288. doi: 10.3892/etm.2019.7541. Epub 2019 May 3.
6
Bioinformatics analysis of gene expression profiles in the rat cerebral cortex following traumatic brain injury.创伤性脑损伤后大鼠大脑皮质基因表达谱的生物信息学分析
Eur Rev Med Pharmacol Sci. 2014;18(1):101-7.
7
Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis.通过综合生物信息学分析鉴定预测结直肠癌预后的关键基因
Oncol Lett. 2020 Jan;19(1):388-398. doi: 10.3892/ol.2019.11068. Epub 2019 Nov 7.
8
Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.通过生物信息学分析鉴定乳腺癌相关成纤维细胞中受分子特征调控的差异表达基因。
Arch Gynecol Obstet. 2018 Jan;297(1):161-183. doi: 10.1007/s00404-017-4562-y. Epub 2017 Oct 23.
9
Analysis of key genes and modules during the courses of traumatic brain injury with microarray technology.利用微阵列技术分析创伤性脑损伤病程中的关键基因和模块。
Genet Mol Res. 2014 Nov 7;13(4):9220-8. doi: 10.4238/2014.November.7.9.
10
Bioinformatics analyses of significant genes, related pathways, and candidate diagnostic biomarkers and molecular targets in SARS-CoV-2/COVID-19.严重急性呼吸综合征冠状病毒2/冠状病毒病19中重要基因、相关通路、候选诊断生物标志物及分子靶点的生物信息学分析
Gene Rep. 2020 Dec;21:100956. doi: 10.1016/j.genrep.2020.100956. Epub 2020 Nov 4.

引用本文的文献

1
DiffCoRank: a comprehensive framework for discovering hub genes and differential gene co-expression in brain implant-associated tissue responses.DiffCoRank:用于发现脑植入相关组织反应中的枢纽基因和差异基因共表达的综合框架。
BMC Bioinformatics. 2025 Jul 23;26(1):191. doi: 10.1186/s12859-025-06232-y.
2
Bioinformatics-driven exploration of key genes and mechanisms underlying oxidative stress in traumatic brain injury.基于生物信息学的创伤性脑损伤中氧化应激潜在关键基因及机制的探索
Front Aging Neurosci. 2025 Apr 25;17:1531317. doi: 10.3389/fnagi.2025.1531317. eCollection 2025.
3
Cyclosporine A Accelerates Neurorecovery Transcriptional Trajectory in a Swine Model of Diffuse Traumatic Brain Injury.

本文引用的文献

1
Revisiting Traumatic Brain Injury: From Molecular Mechanisms to Therapeutic Interventions.重新审视创伤性脑损伤:从分子机制到治疗干预
Biomedicines. 2020 Sep 29;8(10):389. doi: 10.3390/biomedicines8100389.
2
TEAD4 promotes tumor development in patients with lung adenocarcinoma via ERK signaling pathway.TEAD4 通过 ERK 信号通路促进肺腺癌患者的肿瘤发展。
Biochim Biophys Acta Mol Basis Dis. 2020 Dec 1;1866(12):165921. doi: 10.1016/j.bbadis.2020.165921. Epub 2020 Aug 12.
3
Identification of potential blood biomarkers for early diagnosis of Alzheimer's disease through RNA sequencing analysis.
环孢素A在弥漫性创伤性脑损伤猪模型中加速神经恢复转录轨迹。
Int J Mol Sci. 2025 Apr 9;26(8):3531. doi: 10.3390/ijms26083531.
4
Immunity in neuromodulation: probing neural and immune pathways in brain disorders.神经调节中的免疫:探索脑部疾病中的神经和免疫途径。
J Neuroinflammation. 2025 Apr 28;22(1):122. doi: 10.1186/s12974-025-03440-4.
5
Artificial enforcement of the unfolded protein response reduces disease features in multiple preclinical models of ALS/FTD.人工增强未折叠蛋白反应可减轻肌萎缩侧索硬化症/额颞叶痴呆多种临床前模型中的疾病特征。
Mol Ther. 2025 Mar 5;33(3):1226-1245. doi: 10.1016/j.ymthe.2025.01.004. Epub 2025 Jan 10.
6
Identification and Validation of Endoplasmic Reticulum Stress-Related Gene in Traumatic Brain Injury.创伤性脑损伤内质网应激相关基因的鉴定与验证。
J Mol Neurosci. 2024 Sep 12;74(3):87. doi: 10.1007/s12031-024-02265-9.
7
Age-related changes after intracerebral hemorrhage: a comparative proteomics analysis of perihematomal tissue.脑出血后与年龄相关的变化:血肿周围组织的比较蛋白质组学分析。
Exp Biol Med (Maywood). 2024 Mar 25;249:10117. doi: 10.3389/ebm.2024.10117. eCollection 2024.
8
Transcriptomic Analysis of Gene Expression and Effect of Electromagnetic Field in Brain Tissue after Traumatic Brain Injury.创伤性脑损伤后脑组织中基因表达的转录组分析及电磁场的影响
J Biotechnol Biomed. 2024;7(1):101-110. doi: 10.26502/jbb.2642-91280131. Epub 2024 Feb 13.
9
rDNA Transcription in Developmental Diseases and Stem Cells.发育性疾病与干细胞中的核糖体DNA转录
Stem Cell Rev Rep. 2023 May;19(4):839-852. doi: 10.1007/s12015-023-10504-6. Epub 2023 Jan 12.
10
Effects of Metformin on Modulating the Expression of Brain-related Genes of APP/PS1 Transgenic Mice based on Single Cell Sequencing.基于单细胞测序研究二甲双胍对APP/PS1转基因小鼠脑相关基因表达的调控作用
Curr Alzheimer Res. 2022;19(11):754-771. doi: 10.2174/1567205020666221201143323.
通过 RNA 测序分析鉴定阿尔茨海默病早期诊断的潜在血液生物标志物。
Alzheimers Res Ther. 2020 Jul 16;12(1):87. doi: 10.1186/s13195-020-00654-x.
4
A comprehensive study of construction and analysis of competitive endogenous RNA networks in lung adenocarcinoma.肺腺癌中竞争性内源性 RNA 网络的构建与分析的综合研究。
Biochim Biophys Acta Proteins Proteom. 2020 Aug;1868(8):140444. doi: 10.1016/j.bbapap.2020.140444. Epub 2020 May 11.
5
Identification of chronic brain protein changes and protein targets of serum auto-antibodies after blast-mediated traumatic brain injury.爆炸所致创伤性脑损伤后慢性脑蛋白变化及血清自身抗体蛋白靶点的鉴定
Heliyon. 2020 Feb 17;6(2):e03374. doi: 10.1016/j.heliyon.2020.e03374. eCollection 2020 Feb.
6
Traumatic Brain Injuries: Pathophysiology and Potential Therapeutic Targets.创伤性脑损伤:病理生理学与潜在治疗靶点
Front Cell Neurosci. 2019 Nov 27;13:528. doi: 10.3389/fncel.2019.00528. eCollection 2019.
7
Depletion of regulatory T cells increases T cell brain infiltration, reactive astrogliosis, and interferon-γ gene expression in acute experimental traumatic brain injury.在急性实验性创伤性脑损伤中,调节性 T 细胞耗竭会增加 T 细胞向脑内浸润、反应性星形胶质细胞增生和干扰素-γ 基因表达。
J Neuroinflammation. 2019 Aug 5;16(1):163. doi: 10.1186/s12974-019-1550-0.
8
A systematic review of large animal models of combined traumatic brain injury and hemorrhagic shock.创伤性脑损伤与失血性休克合并症的大动物模型的系统评价。
Neurosci Biobehav Rev. 2019 Sep;104:160-177. doi: 10.1016/j.neubiorev.2019.06.024. Epub 2019 Jun 27.
9
Making sense of gut feelings in the traumatic brain injury pathogenesis.解读创伤性脑损伤发病机制中的直觉反应。
Neurosci Biobehav Rev. 2019 Jul;102:345-361. doi: 10.1016/j.neubiorev.2019.05.012. Epub 2019 May 16.
10
Cancer Biogenesis in Ribosomopathies.核糖体病中的癌症发生。
Cells. 2019 Mar 11;8(3):229. doi: 10.3390/cells8030229.