• 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

儿童和成人弗里德赖希共济失调中三个免疫特异性核心基因及其调控通路的下调:基于微阵列的综合分析

Downregulation of Three Immune-Specific Core Genes and the Regulatory Pathways in Children and Adult Friedreich's Ataxia: A Comprehensive Analysis Based on Microarray.

作者信息

Liu Lichun, Lai Yongxing, Zhan Zhidong, Fu Qingxian, Jiang Yuelian

机构信息

Department of Pharmacy, Fujian Children's Hospital, Fuzhou, China.

Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China.

出版信息

Front Neurol. 2022 Feb 14;12:816393. doi: 10.3389/fneur.2021.816393. eCollection 2021.

DOI:10.3389/fneur.2021.816393
PMID:35237223
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8884172/
Abstract

BACKGROUND

Friedreich's ataxia (FRDA) is a familial hereditary disorder that lacks available therapy. Therefore, the identification of novel biomarkers and key mechanisms related to FRDA progression is urgently required.

METHODS

We identified the up-regulated and down-regulated differentially expressed genes (DEGs) in children and adult FRDA from the GSE11204 dataset and intersected them to determine the co-expressed DEGs (co-DEGs). Enrichment analysis was conducted and a protein-protein interaction (PPI) network was constructed to identify key pathways and hub genes. The potential diagnostic biomarkers were validated using the GSE30933 dataset. Cytoscape was applied to construct interaction and competitive endogenous RNA (ceRNA) networks.

RESULTS

Gene Set Enrichment Analysis (GSEA) indicated that the genes in both the child and adult samples were primarily enriched in their immune-related functions. We identified 88 co-DEGs between child and adult FRDA samples. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome enrichment analysis suggested that these co-DEGs were primarily enriched in immune response, inflammatory reaction, and necroptosis. Immune infiltration analysis showed remarkable differences in the proportions of immune cell subtype between FRDA and healthy samples. In addition, ten core genes and one gene cluster module were screened out based on the PPI network. We verified eight immune-specific core genes using a validation dataset and found CD28, FAS, and ITIF5 have high diagnostic significance in FRDA. Finally, NEAT1-hsa-miR-24-3p-CD28 was identified as a key regulatory pathway of child and adult FRDA.

CONCLUSIONS

Downregulation of three immune-specific hub genes, CD28, FAS, and IFIT5, may be associated with the progression of child and adult FRDA. Furthermore, NEAT1-hsa-miR-24-3p-CD28 may be the potential RNA regulatory pathway related to the pathogenesis of child and adult FRDA.

摘要

背景

弗里德赖希共济失调(FRDA)是一种缺乏有效治疗方法的家族遗传性疾病。因此,迫切需要鉴定与FRDA进展相关的新型生物标志物和关键机制。

方法

我们从GSE11204数据集中鉴定出儿童和成人FRDA中上调和下调的差异表达基因(DEG),并将它们进行交集分析以确定共表达的DEG(co-DEG)。进行富集分析并构建蛋白质-蛋白质相互作用(PPI)网络以识别关键途径和枢纽基因。使用GSE30933数据集验证潜在的诊断生物标志物。应用Cytoscape构建相互作用和竞争性内源RNA(ceRNA)网络。

结果

基因集富集分析(GSEA)表明,儿童和成人样本中的基因主要富集于其免疫相关功能。我们在儿童和成人FRDA样本之间鉴定出88个共表达DEG。基因本体论(GO)、京都基因与基因组百科全书(KEGG)和Reactome富集分析表明,这些共表达DEG主要富集于免疫反应、炎症反应和坏死性凋亡。免疫浸润分析显示,FRDA与健康样本之间免疫细胞亚型比例存在显著差异。此外,基于PPI网络筛选出10个核心基因和1个基因簇模块。我们使用验证数据集验证了8个免疫特异性核心基因,发现CD28、FAS和ITIF5在FRDA中具有较高的诊断意义。最后,NEAT1-hsa-miR-24-3p-CD28被确定为儿童和成人FRDA的关键调控途径。

结论

三种免疫特异性枢纽基因CD28、FAS和IFIT5的下调可能与儿童和成人FRDA的进展有关。此外,NEAT1-hsa-miR-24-3p-CD28可能是与儿童和成人FRDA发病机制相关的潜在RNA调控途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/ba9d4b8740d0/fneur-12-816393-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/2fd8b9f01daa/fneur-12-816393-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/d94e81640b4a/fneur-12-816393-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/3d369c9c80af/fneur-12-816393-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/e2970670bd2e/fneur-12-816393-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/a6a7a4c303d4/fneur-12-816393-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/02882d256d00/fneur-12-816393-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/bccf27881558/fneur-12-816393-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/f0b398a2fb79/fneur-12-816393-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/a9d0ddde8bea/fneur-12-816393-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/ba9d4b8740d0/fneur-12-816393-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/2fd8b9f01daa/fneur-12-816393-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/d94e81640b4a/fneur-12-816393-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/3d369c9c80af/fneur-12-816393-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/e2970670bd2e/fneur-12-816393-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/a6a7a4c303d4/fneur-12-816393-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/02882d256d00/fneur-12-816393-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/bccf27881558/fneur-12-816393-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/f0b398a2fb79/fneur-12-816393-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/a9d0ddde8bea/fneur-12-816393-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c2b/8884172/ba9d4b8740d0/fneur-12-816393-g0010.jpg

相似文献

1
Downregulation of Three Immune-Specific Core Genes and the Regulatory Pathways in Children and Adult Friedreich's Ataxia: A Comprehensive Analysis Based on Microarray.儿童和成人弗里德赖希共济失调中三个免疫特异性核心基因及其调控通路的下调:基于微阵列的综合分析
Front Neurol. 2022 Feb 14;12:816393. doi: 10.3389/fneur.2021.816393. eCollection 2021.
2
Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.通过生物信息学分析,三个血液/免疫系统特异性表达基因被认为是早期类风湿关节炎诊断的潜在生物标志物。
J Transl Med. 2021 Jan 6;19(1):18. doi: 10.1186/s12967-020-02689-y.
3
Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.通过对微阵列数据的生物信息学分析揭示胶质瘤和神经胶质瘤发病机制的分子机制。
Med Oncol. 2017 Sep 26;34(11):182. doi: 10.1007/s12032-017-1043-x.
4
Identification of potential biomarkers of gout through competitive endogenous RNA network analysis.通过竞争性内源性RNA网络分析鉴定痛风的潜在生物标志物。
Eur J Pharm Sci. 2022 Jun 1;173:106180. doi: 10.1016/j.ejps.2022.106180. Epub 2022 Apr 1.
5
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.
6
Integrated Analysis of Competitive Endogenous RNA Networks in Acute Ischemic Stroke.急性缺血性卒中竞争性内源性RNA网络的综合分析
Front Genet. 2022 Mar 25;13:833545. doi: 10.3389/fgene.2022.833545. eCollection 2022.
7
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.
8
Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.基于基因表达谱的生物信息学分析鉴定出参与皮肤红斑狼疮的关键基因和功能途径。
Clin Rheumatol. 2022 Feb;41(2):437-452. doi: 10.1007/s10067-021-05913-2. Epub 2021 Sep 23.
9
Study on potential differentially expressed genes in stroke by bioinformatics analysis.基于生物信息学分析的中风潜在差异表达基因研究
Neurol Sci. 2022 Feb;43(2):1155-1166. doi: 10.1007/s10072-021-05470-1. Epub 2021 Jul 27.
10
Identification of Effective Diagnostic Biomarkers and Immune Cell Infiltration in Atopic Dermatitis by Comprehensive Bioinformatics Analysis.通过综合生物信息学分析鉴定特应性皮炎中有效的诊断生物标志物和免疫细胞浸润
Front Mol Biosci. 2022 Jul 14;9:917077. doi: 10.3389/fmolb.2022.917077. eCollection 2022.

引用本文的文献

1
A bioinformatics analysis of the target role of miRNA-431-5p on KLK6 in colorectal cancer.miRNA-431-5p对结直肠癌中KLK6的靶向作用的生物信息学分析
Hereditas. 2025 Mar 28;162(1):46. doi: 10.1186/s41065-025-00395-7.

本文引用的文献

1
AKR1C3 and Its Transcription Factor HOXB4 Are Promising Diagnostic Biomarkers for Acute Myocardial Infarction.醛酮还原酶1C3及其转录因子HOXB4有望成为急性心肌梗死的诊断生物标志物。
Front Cardiovasc Med. 2021 Sep 9;8:694238. doi: 10.3389/fcvm.2021.694238. eCollection 2021.
2
Molecular subtypes based on ferroptosis-related genes and tumor microenvironment infiltration characterization in lung adenocarcinoma.基于铁死亡相关基因和肿瘤微环境浸润特征的肺腺癌分子亚型。
Oncoimmunology. 2021 Sep 11;10(1):1959977. doi: 10.1080/2162402X.2021.1959977. eCollection 2021.
3
Exploring the Key Genes and Identification of Potential Diagnosis Biomarkers in Alzheimer's Disease Using Bioinformatics Analysis.
利用生物信息学分析探索阿尔茨海默病的关键基因及潜在诊断生物标志物的鉴定
Front Aging Neurosci. 2021 Jun 14;13:602781. doi: 10.3389/fnagi.2021.602781. eCollection 2021.
4
Oxidative stress-dependent frataxin inhibition mediated alcoholic hepatocytotoxicity through ferroptosis.氧化应激依赖性铁蛋白抑制通过铁死亡介导酒精性肝毒性。
Toxicology. 2020 Dec 1;445:152584. doi: 10.1016/j.tox.2020.152584. Epub 2020 Oct 2.
5
Identification of Key Prognostic Biomarker and Its Correlation with Immune Infiltrates in Pancreatic Ductal Adenocarcinoma.鉴定胰腺导管腺癌的关键预后生物标志物及其与免疫浸润的相关性。
Dis Markers. 2020 Aug 31;2020:8825997. doi: 10.1155/2020/8825997. eCollection 2020.
6
Significance of NT-proBNP and High-sensitivity Troponin in Friedreich Ataxia.NT-脑钠肽前体和高敏肌钙蛋白在弗里德赖希共济失调中的意义。
J Clin Med. 2020 May 28;9(6):1630. doi: 10.3390/jcm9061630.
7
Neurofilament light chain as a potential biomarker of disease status in Friedreich ataxia.神经丝轻链作为弗里德里希共济失调疾病状态的潜在生物标志物。
J Neurol. 2020 Sep;267(9):2594-2598. doi: 10.1007/s00415-020-09868-3. Epub 2020 May 8.
8
NfL and pNfH are increased in Friedreich's ataxia.神经丝轻链蛋白和核内包涵体蛋白在弗里德里希共济失调中增加。
J Neurol. 2020 May;267(5):1420-1430. doi: 10.1007/s00415-020-09722-6. Epub 2020 Jan 30.
9
Study on the Multitarget Mechanism and Key Active Ingredients of Herba Siegesbeckiae and Volatile Oil against Rheumatoid Arthritis Based on Network Pharmacology.基于网络药理学的豨莶草及其挥发油抗类风湿关节炎多靶点作用机制及关键活性成分研究
Evid Based Complement Alternat Med. 2019 Nov 26;2019:8957245. doi: 10.1155/2019/8957245. eCollection 2019.
10
CD95/Fas and metastatic disease: What does not kill you makes you stronger.CD95/Fas 和转移疾病:杀不死你的,使你更强大。
Semin Cancer Biol. 2020 Feb;60:121-131. doi: 10.1016/j.semcancer.2019.06.004. Epub 2019 Jun 6.