[Ferroptosis-related genes in osteoporosis: a bioinformatics analysis and in vitro study].

Yushuang Xia, Bo Wang, Pengfei Pan, Xiangshun Ren, Lixi Gao, Jian Xiong, Yan Ma
{"title":"[Ferroptosis-related genes in osteoporosis: a bioinformatics analysis and <i>in vitro</i> study].","authors":"Yushuang Xia, Bo Wang, Pengfei Pan, Xiangshun Ren, Lixi Gao, Jian Xiong, Yan Ma","doi":"10.3724/zdxbyxb-2024-0089","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To explore ferroptosis-related genes in osteoporosis through bioinformatic analysis and <i>in vitro</i> study.</p><p><strong>Methods: </strong>Osteoporosis-related genes were identified from dataset GSE35958 in the Gene Expression Omnibus database; and the ferroptosis-related genes were identified from the FerrDb database. These were intersected with the differentially expressed genes in GSE35958 to obtain ferroptosis-related genes in osteoporosis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for the differentially expressed genes. And Spearman correlation and protein-protein interaction network analysis were performed. Then, the hub genes of ferroptosis in osteoporosis were screened by Degree, MNC, EPC, MCC and DMNC in Cytoscape software CytoHubba plugin; and analyzed with receiver operating characteristic (ROC) curves. The bone marrow mesenchymal stem cells from osteoporosis patients (osteoporosis group) and non-osteoporosis patients (control group) were subjected to quantitative reverse transcription polymerase chain reaction to detect the messenger RNA expression of ferroptosis hub genes in both groups.</p><p><strong>Results: </strong>A total of 32 differentially expressed genes related to ferroptosis in osteoporosis were identified, including 26 up-regulated genes and 6 down-regulated genes. GO enrichment analysis showed that the identified genes were mainly involved in intercellular adhesion, lipid metabolism and cytokine response. KEGG enrichment analysis showed that the genes were mainly involved in signaling pathways of adhesive plaques, MAPK, PI3K-Akt, and Wnt. Spearman correlation analysis showed correlation among differentially expressed genes. Six hub genes for ferroptosis in osteoporosis were obtained, namely <i>MAPK3</i>, <i>CDKN1A</i>, <i>MAP1LC3A</i>, <i>TNF</i>, <i>RELA</i>, and <i>TGF</i>-<i>β1</i>. ROC curve analysis showed that these hub genes had good diagnostic performance in osteoporosis and may become potential biomarkers of osteoporosis. <i>In vitro</i> experiments confirmed significant differences in these hub genes between the control group and the osteoporosis group (all <i>P</i><0.05).</p><p><strong>Conclusions: </strong>This study has identified six ferroptosis-related hub genes in osteoporosis, which may be used as novel biomarkers for the early diagnosis and treatment of osteoporosis.</p>","PeriodicalId":24007,"journal":{"name":"Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences","volume":" ","pages":"680-690"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11736348/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3724/zdxbyxb-2024-0089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: To explore ferroptosis-related genes in osteoporosis through bioinformatic analysis and in vitro study.

Methods: Osteoporosis-related genes were identified from dataset GSE35958 in the Gene Expression Omnibus database; and the ferroptosis-related genes were identified from the FerrDb database. These were intersected with the differentially expressed genes in GSE35958 to obtain ferroptosis-related genes in osteoporosis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for the differentially expressed genes. And Spearman correlation and protein-protein interaction network analysis were performed. Then, the hub genes of ferroptosis in osteoporosis were screened by Degree, MNC, EPC, MCC and DMNC in Cytoscape software CytoHubba plugin; and analyzed with receiver operating characteristic (ROC) curves. The bone marrow mesenchymal stem cells from osteoporosis patients (osteoporosis group) and non-osteoporosis patients (control group) were subjected to quantitative reverse transcription polymerase chain reaction to detect the messenger RNA expression of ferroptosis hub genes in both groups.

Results: A total of 32 differentially expressed genes related to ferroptosis in osteoporosis were identified, including 26 up-regulated genes and 6 down-regulated genes. GO enrichment analysis showed that the identified genes were mainly involved in intercellular adhesion, lipid metabolism and cytokine response. KEGG enrichment analysis showed that the genes were mainly involved in signaling pathways of adhesive plaques, MAPK, PI3K-Akt, and Wnt. Spearman correlation analysis showed correlation among differentially expressed genes. Six hub genes for ferroptosis in osteoporosis were obtained, namely MAPK3, CDKN1A, MAP1LC3A, TNF, RELA, and TGF-β1. ROC curve analysis showed that these hub genes had good diagnostic performance in osteoporosis and may become potential biomarkers of osteoporosis. In vitro experiments confirmed significant differences in these hub genes between the control group and the osteoporosis group (all P<0.05).

Conclusions: This study has identified six ferroptosis-related hub genes in osteoporosis, which may be used as novel biomarkers for the early diagnosis and treatment of osteoporosis.

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
骨质疏松症中嗜铁相关基因:生物信息学分析和体外研究。
目的:通过生物信息学分析和体外研究,探讨骨质疏松症中嗜铁相关基因。方法:从基因表达综合数据库的GSE35958数据集中筛选骨质疏松相关基因;并从ferdb数据库中筛选到嗜铁相关基因,与GSE35958中的差异表达基因相交,得到骨质疏松症中嗜铁相关基因。对差异表达基因进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。并进行Spearman相关分析和蛋白-蛋白相互作用(PPI)网络图。然后在Cytoscape软件CytoHubba插件中通过Degree、MNC、EPC、MCC和DMNC筛选骨质疏松症中铁下垂的关键基因;并进行ROC曲线分析。对骨质疏松患者(研究组)和非骨质疏松患者(对照组)的骨髓间充质干细胞进行实时荧光定量PCR检测,检测两组中铁下垂关键基因信使RNA的表达情况。结果:共鉴定出32个与骨质疏松症铁下垂相关的差异表达基因,其中上调基因26个,下调基因6个。氧化石墨烯富集分析表明,鉴定的基因主要参与细胞间粘附、脂质代谢和细胞因子反应。KEGG富集分析显示,这些基因主要参与粘附斑块、MAPK、PI3K-AKT和Wnt的信号通路。Spearman相关分析表明,差异表达基因之间存在一定的相关性。构建PPI网络,获得骨质疏松中铁下垂的6个关键基因,分别为MAPK3、CDKN1A、MAP1LC3A、TNF、RELA和TGFB1。ROC曲线显示,这6个关键基因在骨质疏松症中具有良好的诊断性能,有望成为骨质疏松症的潜在生物标志物。体外实验证实了6个Hub基因在对照组和研究组之间存在显著差异(p结论:本研究鉴定出6个与骨质疏松症相关的关键铁中毒基因,未来可能作为骨质疏松症早期诊断和治疗的新型生物标志物。
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
3.80
自引率
0.00%
发文量
67
期刊最新文献
Pathogenesis and treatment progression of myelodysplastic syndrome combined with Behcet syndrome. Medium- and long-term efficacy of percutaneous mechanical thrombectomy with stent implantation in patients with iliac vein stenosis and thrombosis. Advances in the development of TRPM2 channel inhibitors. Mechanism and significance of cell senescence induced by viral infection. A case of sepsis complicated by multiple organ dysfunction syndrome with CT appearance of subarachnoid hemorrhage.
×
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:481959085
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