中国组织工程研究 ›› 2025, Vol. 29 ›› Issue (20): 4181-4189.doi: 10.12307/2025.633

• 骨组织构建 bone tissue construction •    下一篇

骨关节炎过程中葡萄糖代谢基因的筛选与验证

柳可心1,马  超2,刘  凯1,郝茂辰1,王杏如1,孟令婷1,冬  梅3,王建忠2   

  1. 1内蒙古医科大学,内蒙古自治区呼和浩特市  010030;内蒙古医科大学第二附属医院,2创伤外科中心C区,3骨质疏松科,内蒙古自治区呼和浩特市  010030
  • 收稿日期:2024-06-07 接受日期:2024-08-05 出版日期:2025-07-18 发布日期:2024-12-19
  • 通讯作者: 王建忠,博士,主任医师,教授,内蒙古医科大学第二附属医院创伤外科中心C区副主任,内蒙古自治区呼和浩特市 010030 共同通讯作者:冬梅,内蒙古医科大学第二附属医院骨质疏松科,内蒙古自治区呼和浩特市 010030
  • 作者简介:柳可心,男,1998年生,内蒙古自治区赤峰市人,内蒙古医科大学在读硕士,主要从事骨与关节疾病的研究。 共同第一作者:马超,男,硕士,主治医师,主要从事骨与关节疾病的研究。
  • 基金资助:
    内蒙古医科大学重点项目(YKD2024ZD005),项目负责人:王建忠;内蒙古自治区第三批首府地区公立医院高水平临床专科建设科技项目(2023SGGZ143),项目负责人:王建忠;内蒙古自治区直属高校基本科研业务费项目(YKD2023ZY001),项目负责人:刘凯;内蒙古自治区研究生科研创新项目(S20231189Z),项目负责人:刘凯

Screening and validation of glucose metabolism genes in osteoarthritis

Liu Kexin1, Ma Chao2, Liu Kai1, Hao Maochen1, Wang Xingru1, Meng Lingting1, Dong Mei3, Wang Jianzhong2     

  1. 1Inner Mongolia Medical University, Hohhot 010030, Inner Mongolia Autonomous Region, China; 2Department of Trauma Surgery Center C, 3Department of Osteoporosis, Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010030, Inner Mongolia Autonomous Region, China
  • Received:2024-06-07 Accepted:2024-08-05 Online:2025-07-18 Published:2024-12-19
  • Contact: Wang Jianzhong, MD, Chief physician, Professor, Department of Trauma Surgery Center C, Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010030, Inner Mongolia Autonomous Region, China Co-corresponding author: Dong Mei, Department of Osteoporosis, Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010030, Inner Mongolia Autonomous Region, China
  • About author:Liu Kexin, Master candidate, Inner Mongolia Medical University, Hohhot 010030, Inner Mongolia Autonomous Region, China Ma Chao, MS, Attending physician, Department of Trauma Surgery Center C, Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010030, Inner Mongolia Autonomous Region, China Liu Kexin and Ma Chao contributed equally to this article.
  • Supported by:
    Inner Mongolia Medical University Key Project, No. YKD2024ZD005 (to WJZ); Inner Mongolia Autonomous Region Third Batch of Capital Area Public Hospital High-level Clinical Specialty Construction Science and Technology Project, No. 2023SGGZ143 (to WJZ); Inner Mongolia Autonomous Region Directly Affiliated Universities Basic Scientific Research Business Expenses Project, No. YKD2023ZY001 (to LK); Inner Mongolia Autonomous Region Postgraduate Scientific Research Innovation Project, No. S20231189Z (to LK)

摘要:


文题释义:
骨关节炎:又称退行性骨关节炎或老年性骨关节病,是一种常见于中老年人的关节疾病。骨关节炎主要是由于关节软骨随着年龄的增长而逐渐磨损、退变,导致关节面不平整,使关节活动受阻并引发疼痛。
生物信息学:是一门交叉学科,它结合了生物学、计算机科学和数学等多个领域的知识,旨在利用计算机技术和数据分析手段,对生物信息进行获取、处理、存储、分析和解释,在药物设计、疾病诊断、个性化医疗等方面具有广泛的应用前景。

背景:葡萄糖代谢过程在维持机体正常生理功能中扮演着至关重要的角色,当葡萄糖代谢出现紊乱时,可能会导致一系列的健康问题。目前,骨关节炎中葡萄糖代谢相关分子机制和潜在基因靶点有待进一步研究。
目的:通过生物信息学方法分析骨关节炎中葡萄糖代谢相关基因,并利用体外细胞实验加以验证,以期为葡萄糖代谢角度防治骨关节炎提供新的思路。
方法:使用GEO数据库和GeneCards数据库筛选出骨关节炎差异表达基因和葡萄糖代谢相关基因,两者取交集,得到骨关节炎和葡萄糖代谢共同相关的基因集合,采用GO和KEGG富集分析筛选这些基因的功能和通路。为了进一步研究这些基因之间的相互作用,构建蛋白-蛋白互作网络,并利用Cytoscape软件的计算方法来识别骨关节炎葡萄糖代谢的关键基因(Hub基因)。此外,采用CIBERSORT算法对GSE98918数据集免疫细胞浸润分析。最后通过体外细胞实验验证Hub基因的表达情况。
结果与结论:①共获得134个骨关节炎葡萄糖代谢相关基因。②GO富集分析表明其主要参与对有毒物质的反应、炎症反应的正调节、对脂多糖的反应等过程。③KEGG富集分析表明其与PI3K-Akt信号通路、白细胞介素17信号通路、糖尿病并发症中的AGE-RAGE信号通路密切相关。④免疫浸润分析得到的主要免疫浸润细胞为巨噬细胞、单核细胞、静息状态下的NK细胞、调节性T细胞、CD8+ T细胞。⑤体外细胞实验结果显示:相比于对照组,实验组中Hub基因SERPINF1、TAC1、GLUL、APOE、TMEM176A表达具有显著差异,HLA-DRA的mRNA表达没有统计学意义。结果显示:SERPINF1、TAC1、GLUL、APOE、TMEM176A可作为骨关节炎葡萄糖代谢的关键基因,有望成为防治骨关节炎的新靶点。
https://orcid.org/0009-0000-4591-2343(柳可心);https://orcid.org/0000-0003-4031-1316(王建忠)

中国组织工程研究杂志出版内容重点:组织构建;骨细胞;软骨细胞;细胞培养;成纤维细胞;血管内皮细胞;骨质疏松;组织工程

关键词: 骨关节炎, 葡萄糖代谢, 生物信息学, 差异表达基因, PPI网络, 免疫浸润, 富集分析, 工程化组织构建

Abstract: BACKGROUND: Glucose metabolism plays a crucial role in maintaining the normal physiological function of the body. Glucose metabolism disorder can lead to a range of health problems. At present, the molecular mechanism of glucose metabolism and potential gene targets in osteoarthritis need to be further studied.
OBJECTIVE: To analyze the genes related to glucose metabolism in osteoarthritis by bioinformatics methods, and to verify them by cell experiments in vitro, so as to provide new ideas for prevention and treatment of osteoarthritis from the perspective of glucose metabolism.
METHODS: Differentially expressed genes and glucose metabolism related genes were screened out from GEO database and GeneCards database. The genes related to both osteoarthritis and glucose metabolism were obtained. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were used to screen the functions and pathways of these genes. To further investigate the interactions between these genes, a protein-protein interaction network was constructed and computational methods using Cytoscape software were utilized to identify key genes (Hub genes) for osteoarthritis glucose metabolism. In addition, CIBERSORT algorithm was used to analyze immune cell infiltration in GSE98918 data set. Finally, the expression of Hub gene was verified by cell experiment in vitro.
RESULTS AND CONCLUSION: A total of 134 osteoarthritis glucose metabolism-related genes were obtained. GO enrichment analysis showed that GO was mainly involved in the reaction of toxic substances, the positive regulation of inflammatory reaction, the reaction of lipopolysaccharide and so on. KEGG enrichment analysis showed that it was closely related to PI3K-Akt signaling pathway, interleukin-17 signaling pathway, and AGE-RAGE signaling pathway in diabetic complications. Macrophages, monocytes, resting natural killer cells, regulatory T cells, and CD8+ T cells were the main infiltrating cells obtained by immune infiltration analysis. In vitro cell experiments showed that the expression of Hub genes SERPINF1, TAC1, GLUL, APOE, and TMEM176A in the experimental group was significantly different from that in the control group. The mRNA expression of HLA-DRA was not statistically significant. The results show that SERPINF1, TAC1, Glul, APOE, and TMEM176A may be the key genes of glucose metabolism in osteoarthritis, and may be potential new targets for the prevention and treatment of osteoarthritis.

中国组织工程研究杂志出版内容重点:组织构建;骨细胞;软骨细胞;细胞培养;成纤维细胞;血管内皮细胞;骨质疏松;组织工程

Key words: osteoarthritis, glucose metabolism, bioinformatics, differentially expressed genes, PPI network, immune infiltration, enrichment analysis, engineered tissue construction


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