文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期，新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

基于生物信息学分析鉴定与验证骨关节炎ROS诱导氧化应激反应中的XDH基因

Identification and verification of XDH genes in ROS induced oxidative stress response of osteoarthritis based on bioinformatics analysis.

作者信息

Qiu Chengze, Zhang Zhiyong, Wang Haocheng, Liu Na, Li Ruixin, Wei Zhiheng, Wang Benjie, Zhang Nan

机构信息

Department of Orthopedics, Affiliated Xinhua Hospital of Dalian University, Dalian, 116000, Liaoning, China.

Department of Hematology and Rheumatology, Affiliated Xinhua Hospital of Dalian University, Dalian, 116000, Liaoning, China.

出版信息

Sci Rep. 2025 Aug 13;15(1):29759. doi: 10.1038/s41598-025-11667-7.

DOI:10.1038/s41598-025-11667-7
PMID:40804350
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12350731/
Abstract

The purpose of this study was to search for genes related to ros induced oxidative stress in osteoarthritis(OA) cartilage through bioinformatics analysis, and to verify the expression of related genes in articular cartilage of OA patients. OA expression data and ROS-related genes were downloaded from GEO (GSE51588, GSE117999) and Molecular Signatures Databases. The limma package in R language was used to screen differently expressed genes (DEGs) from the GEO databases. WGCNA analysis and Venn diagrams were employed to screen genes that were differentially expressed between OA and control samples and had strong correlations with ROS as candidate genes. DEGs were screened by GO and KEGG enrichment analysis, as well as protein-protein interaction (PPI) analysis. Besides, the software Cytoscape and database STRING were utilized to screen hub genes networks. The hub genes were confirmed by analysis of the receiver operating characteristic (ROC) curve on the GSE51588 and GSE117999 databases. An artificial neural network model was constructed for the hub genes, and immune analysis was conducted using the ssGSEA algorithm. The expression of genes in OA and normal chondrocytes was verified through HE staining, immunohistochemistry, ROS detection, qRT-PCR and Western blotting test. This study identified five genes, including ALB, CDH1, HSPA8, HIST1H2BE and XDH, as hub genes. ROC curves, gene expression analysis, and artificial neural network diagrams indicated that ALB, HIST1H2BE and XDH had good diagnostic characteristics. GSEA showed that the XDH gene was significantly enriched in ROS pathways. Meanwhile, the expression of XDH were also confirmed to be significant differences between injured cartilage and normal cartilage in OA patients in vivo. Our study may provide new hub genes related to ROS-mediated oxidative stress in OA and validate the correlation between XDH gene and its transcripts with ROS pathways in OA. This offers potential clinical applications for understanding the pathology, diagnosis, and treatment of OA.

摘要

本研究旨在通过生物信息学分析寻找与骨关节炎（OA）软骨中活性氧（ROS）诱导的氧化应激相关的基因，并验证相关基因在OA患者关节软骨中的表达。从基因表达综合数据库（GEO，GSE51588、GSE117999）和分子特征数据库下载OA表达数据和ROS相关基因。使用R语言中的limma软件包从GEO数据库中筛选差异表达基因（DEG）。采用加权基因共表达网络分析（WGCNA）和维恩图筛选OA与对照样本之间差异表达且与ROS强相关的基因作为候选基因。通过基因本体（GO）和京都基因与基因组百科全书（KEGG）富集分析以及蛋白质-蛋白质相互作用（PPI）分析筛选DEG。此外，利用Cytoscape软件和STRING数据库筛选枢纽基因网络。通过对GSE51588和GSE117999数据库上的受试者工作特征（ROC）曲线分析来确认枢纽基因。为枢纽基因构建人工神经网络模型，并使用单样本基因集富集分析（ssGSEA）算法进行免疫分析。通过苏木精-伊红（HE）染色、免疫组织化学、ROS检测、实时定量聚合酶链反应（qRT-PCR）和蛋白质免疫印迹试验验证OA和正常软骨细胞中基因的表达。本研究鉴定出包括白蛋白（ALB）、钙黏蛋白1（CDH1）、热休克蛋白家族A成员8（HSPA8）、组蛋白H2BE（HIST1H2BE）和黄嘌呤脱氢酶（XDH）在内的5个基因作为枢纽基因。ROC曲线、基因表达分析和人工神经网络图表明，ALB、HIST1H2BE和XDH具有良好的诊断特征。基因集富集分析（GSEA）显示，XDH基因在ROS途径中显著富集。同时，在体内OA患者的损伤软骨和正常软骨之间，XDH的表达也被证实存在显著差异。我们的研究可能提供与OA中ROS介导的氧化应激相关的新枢纽基因，并验证OA中XDH基因及其转录本与ROS途径之间的相关性。这为理解OA的病理学、诊断和治疗提供了潜在的临床应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/293b5d8549f6/41598_2025_11667_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/0ed9d8b48de9/41598_2025_11667_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/db588b47452a/41598_2025_11667_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/738134c07c1b/41598_2025_11667_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/527287fef8c4/41598_2025_11667_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/ea0fd6867c8f/41598_2025_11667_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/6a4793ea2cc3/41598_2025_11667_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/ecdb64e84dac/41598_2025_11667_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/59657b7bc0cc/41598_2025_11667_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/293b5d8549f6/41598_2025_11667_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/0ed9d8b48de9/41598_2025_11667_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/db588b47452a/41598_2025_11667_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/738134c07c1b/41598_2025_11667_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/527287fef8c4/41598_2025_11667_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/ea0fd6867c8f/41598_2025_11667_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/6a4793ea2cc3/41598_2025_11667_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/ecdb64e84dac/41598_2025_11667_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/59657b7bc0cc/41598_2025_11667_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c6/12350731/293b5d8549f6/41598_2025_11667_Fig9_HTML.jpg

相似文献

[1]
Identification and verification of XDH genes in ROS induced oxidative stress response of osteoarthritis based on bioinformatics analysis.

Sci Rep. 2025-8-13

[2]
Identification of shared key genes and pathways in osteoarthritis and sarcopenia patients based on bioinformatics analysis.

Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2025-3-28

[3]
Integrated bioinformatics and network pharmacology to identify and validate macrophage polarization related hub genes in the treatment of osteoarthritis with Astragalus membranaceus.

J Orthop Surg Res. 2025-5-30

[4]
Identification of osteoporosis ferroptosis-related markers and potential therapeutic compounds based on bioinformatics methods and molecular docking technology.

BMC Med Genomics. 2024-4-22

[5]
Identification of SNCA and DRD2 as key genes linking parkinson's disease and circadian rhythm through bioinformatics analysis.

Sci Rep. 2025-8-26

[6]
The mitochondrial hub gene UCHL1 May serve as a potential biomarker for diagnosing diabetic cardiomyopathy: a comprehensive integration of biological pathways.

BMC Med Genomics. 2025-8-11

[7]
Identification of hub genes and prediction of the ceRNA network in adult sepsis.

PeerJ. 2025-8-13

[8]
Shared molecular biomarkers and therapeutic targets in rheumatoid arthritis and osteoarthritis: Focus on EIF3B, KHSRP, NCL, PDCD1LG2, and SLC25A37.

Cytokine. 2025-9

[9]
Multi-omics analysis and validation of autophagy-related diagnostic biomarker in osteoarthritis.

Ann Med. 2025-12

[10]
Identification and validation of oxidative stress-related genes for the diagnosis of sepsis-induced acute lung injury.

PLoS One. 2025-7-22

本文引用的文献

[1]
KEGG: biological systems database as a model of the real world.

Nucleic Acids Res. 2025-1-6

[2]
Injectable hydrogel encapsulating siMMP13 with anti-ROS and anti-apoptotic functions for osteoarthritis treatment.

J Nanobiotechnology. 2024-8-2

[3]
Trends and cross-country inequalities in the global burden of osteoarthritis, 1990-2019: A population-based study.

Ageing Res Rev. 2024-8

[4]
ROS-Induced Endothelial Dysfunction in the Pathogenesis of Atherosclerosis.

Aging Dis. 2024-3-18

[5]
Lipid peroxidation in osteoarthritis: focusing on 4-hydroxynonenal, malondialdehyde, and ferroptosis.

Cell Death Discov. 2023-8-29

[6]
The burden of osteoarthritis: Is it a rising problem?

Best Pract Res Clin Rheumatol. 2023-6

[7]
The physiological metabolite α-ketoglutarate ameliorates osteoarthritis by regulating mitophagy and oxidative stress.

Redox Biol. 2023-6

[8]
Osteoarthritis: pathogenic signaling pathways and therapeutic targets.

Signal Transduct Target Ther. 2023-2-3

[9]
The Implication of Reactive Oxygen Species and Antioxidants in Knee Osteoarthritis.

Antioxidants (Basel). 2021-6-21

[10]
Metabolic Reprogramming and Reactive Oxygen Species in T Cell Immunity.

Front Immunol. 2021

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索