Analysis and validation of programmed cell death genes associated with spinal cord injury progression based on bioinformatics and machine learning

IF 4.7 2区 医学 Q2 IMMUNOLOGY International immunopharmacology Pub Date : 2025-03-06 Epub Date: 2025-02-09 DOI:10.1016/j.intimp.2025.114220
Yongjie Wang , Zilin Zhang , Weiquan Gong , Zhenshan Lv , Jinwei Qi , Song Han , Boyuan Liu , Aijun Song , Zongyuan Yang , Longfei Duan , Shaokun Zhang
{"title":"Analysis and validation of programmed cell death genes associated with spinal cord injury progression based on bioinformatics and machine learning","authors":"Yongjie Wang ,&nbsp;Zilin Zhang ,&nbsp;Weiquan Gong ,&nbsp;Zhenshan Lv ,&nbsp;Jinwei Qi ,&nbsp;Song Han ,&nbsp;Boyuan Liu ,&nbsp;Aijun Song ,&nbsp;Zongyuan Yang ,&nbsp;Longfei Duan ,&nbsp;Shaokun Zhang","doi":"10.1016/j.intimp.2025.114220","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Spinal cord injury (SCI) is a severe condition affecting the central nervous system. It is marked by a high disability rate and potential for death. Research has demonstrated that programmed cell death (PCD) plays a significant role in the death of neuronal cells during SCI. The objective of our work was to illustrate the significant contribution of PCD genes in the progression of SCI.</div></div><div><h3>Methods</h3><div>SCI-related datasets GSE5296, GSE47681, and GSE189070 from the Gene Expression Omnibus database were comprehensively analyzed using bioinformatics methods. Common differentially expressed genes were validated by post-intersection screening with PCD genes. We constructed a gene prediction model using the least absolute shrinkage and selection operator and the random forest algorithm to further screen for characteristic genes. We also performed Gene Ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis and generated a protein–protein interaction network, analyzed immune cell infiltration, and predicted upstream miRNAs and transcription factors. In animal experiments, we performed immunofluorescence staining of mouse SCI regions to verify gene expression.</div></div><div><h3>Results</h3><div>A total of five characteristic genes (Ctsd, Abca1, Cst7, Ctsb, and Cybb) were identified in our study and showed excellent diagnostic efficacy in predicting SCI progression (areas under the curve values of the five characteristic genes were 0.976 for Ctsd, 0.993 for Abca1, 0.995 of Cst7,0.986 of Ctsb, 0.959 of Cybb). These characterized genes were highly expressed at the site of SCI. Immune cell infiltration analysis revealed that multiple immune cells were involved in SCI progression.</div></div><div><h3>Conclusions</h3><div>We identified five PCD genes (Ctsd, Abca1, Cst7, Ctsb, and Cybb) associated with SCI. This study helps to reveal the pathophysiologic influences of these genes on SCI and provides important insight for the development of more effective treatments.</div></div>","PeriodicalId":13859,"journal":{"name":"International immunopharmacology","volume":"149 ","pages":"Article 114220"},"PeriodicalIF":4.7000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International immunopharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1567576925002103","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/9 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Spinal cord injury (SCI) is a severe condition affecting the central nervous system. It is marked by a high disability rate and potential for death. Research has demonstrated that programmed cell death (PCD) plays a significant role in the death of neuronal cells during SCI. The objective of our work was to illustrate the significant contribution of PCD genes in the progression of SCI.

Methods

SCI-related datasets GSE5296, GSE47681, and GSE189070 from the Gene Expression Omnibus database were comprehensively analyzed using bioinformatics methods. Common differentially expressed genes were validated by post-intersection screening with PCD genes. We constructed a gene prediction model using the least absolute shrinkage and selection operator and the random forest algorithm to further screen for characteristic genes. We also performed Gene Ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis and generated a protein–protein interaction network, analyzed immune cell infiltration, and predicted upstream miRNAs and transcription factors. In animal experiments, we performed immunofluorescence staining of mouse SCI regions to verify gene expression.

Results

A total of five characteristic genes (Ctsd, Abca1, Cst7, Ctsb, and Cybb) were identified in our study and showed excellent diagnostic efficacy in predicting SCI progression (areas under the curve values of the five characteristic genes were 0.976 for Ctsd, 0.993 for Abca1, 0.995 of Cst7,0.986 of Ctsb, 0.959 of Cybb). These characterized genes were highly expressed at the site of SCI. Immune cell infiltration analysis revealed that multiple immune cells were involved in SCI progression.

Conclusions

We identified five PCD genes (Ctsd, Abca1, Cst7, Ctsb, and Cybb) associated with SCI. This study helps to reveal the pathophysiologic influences of these genes on SCI and provides important insight for the development of more effective treatments.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于生物信息学和机器学习的与脊髓损伤进展相关的程序性细胞死亡基因的分析和验证
脊髓损伤(SCI)是一种严重影响中枢神经系统的疾病。它的特点是致残率高,有可能死亡。研究表明,程序性细胞死亡(PCD)在脊髓损伤时神经元细胞的死亡中起着重要作用。我们工作的目的是阐明PCD基因在SCI进展中的重要贡献。方法采用生物信息学方法对来自基因表达Omnibus数据库的ssci相关数据集GSE5296、GSE47681和GSE189070进行综合分析。通过与PCD基因交叉后筛选验证常见差异表达基因。利用最小绝对收缩选择算子和随机森林算法构建基因预测模型,进一步筛选特征基因。我们还进行了Gene Ontology功能富集分析和京都基因与基因组百科全书通路分析,生成了蛋白质-蛋白质相互作用网络,分析了免疫细胞浸润,预测了上游mirna和转录因子。在动物实验中,我们对小鼠SCI区域进行了免疫荧光染色来验证基因的表达。结果共鉴定出5个特征基因(Ctsd、Abca1、Cst7、Ctsb、Cybb),对预测脊髓损伤进展具有良好的诊断效果(5个特征基因的曲线下面积分别为:Ctsd 0.976、Abca1 0.993、Cst7 0.995、Ctsb 0.986、Cybb 0.959)。这些特征基因在脊髓损伤部位高度表达。免疫细胞浸润分析显示多种免疫细胞参与了脊髓损伤的进展。我们发现了5个与SCI相关的PCD基因(Ctsd、Abca1、Cst7、Ctsb和Cybb)。该研究有助于揭示这些基因对脊髓损伤的病理生理影响,并为开发更有效的治疗方法提供重要见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.40
自引率
3.60%
发文量
935
审稿时长
53 days
期刊介绍: International Immunopharmacology is the primary vehicle for the publication of original research papers pertinent to the overlapping areas of immunology, pharmacology, cytokine biology, immunotherapy, immunopathology and immunotoxicology. Review articles that encompass these subjects are also welcome. The subject material appropriate for submission includes: • Clinical studies employing immunotherapy of any type including the use of: bacterial and chemical agents; thymic hormones, interferon, lymphokines, etc., in transplantation and diseases such as cancer, immunodeficiency, chronic infection and allergic, inflammatory or autoimmune disorders. • Studies on the mechanisms of action of these agents for specific parameters of immune competence as well as the overall clinical state. • Pre-clinical animal studies and in vitro studies on mechanisms of action with immunopotentiators, immunomodulators, immunoadjuvants and other pharmacological agents active on cells participating in immune or allergic responses. • Pharmacological compounds, microbial products and toxicological agents that affect the lymphoid system, and their mechanisms of action. • Agents that activate genes or modify transcription and translation within the immune response. • Substances activated, generated, or released through immunologic or related pathways that are pharmacologically active. • Production, function and regulation of cytokines and their receptors. • Classical pharmacological studies on the effects of chemokines and bioactive factors released during immunological reactions.
期刊最新文献
Leonurine ameliorates hypoxic pulmonary hypertension by inhibiting cross-talk between neutropHils and endothelial cells via SERPINB3 targeting Drugs and natural bioactive products in modulation of inflammatory pathways in cancer: preclinical and clinical evidence of inflammasomes, cytokine networks, and macrophage polarization Α-Hederin alleviates psoriasiform skin inflammation by inhibiting NF-κB p65/CXCL2 Axis Advancing cancer diagnosis and therapy: MXene-based biosensing and nanomedicine applications USP8 attenuates ischemic stroke by inhibiting the microglial NF-κB/NLRP3 inflammatory axis via TRAF6 deubiquitination
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1