中国组织工程研究 ›› 2021, Vol. 25 ›› Issue (29): 4664-4671.doi: 10.12307/2021.166

• 组织构建相关数据分析 Date analysis of organization construction • 上一篇    下一篇

膝关节骨性关节炎中退变半月板的生物信息学分析

黄  晖1,郑佳璇2,方业汉1,王广积1   

  1. 海南省人民医院,1运动医学科,2病理科,海南省海口市   570311
  • 收稿日期:2020-07-13 修回日期:2020-07-15 接受日期:2020-09-11 出版日期:2021-10-18 发布日期:2021-07-22
  • 通讯作者: 王广积,硕士,主任医师,海南省人民医院运动医学科,海南省海口市 570311
  • 作者简介:黄晖,男,1985年生,湖南省人,汉族,2020年南方医科大学毕业,博士,副主任医师。 郑佳璇,女,1989年生,广东省人,汉族, 2015年汕头大学毕业,硕士,主治医师。
  • 基金资助:
    海南省重点研发计划(ZDYF2019180),项目负责人:王广积

Bioinformatics analysis of degenerative meniscus in knee osteoarthritis

Huang Hui1, Zheng Jiaxuan2, Fang Yehan1, Wang Guangji1   

  1. 1Department of Sport Medicine, 2Department of Pathology, Hainan Provincial People’s Hospital, Haikou 570311, Hainan Province, China
  • Received:2020-07-13 Revised:2020-07-15 Accepted:2020-09-11 Online:2021-10-18 Published:2021-07-22
  • Contact: Wang Guangji, Master, Chief physician, Department of Sport Medicine, Hainan Provincial People’s Hospital, Haikou 570311, Hainan Province, China
  • About author:Huang Hui, MD, Associate chief physician, Department of Sport Medicine, Hainan Provincial People’s Hospital, Haikou 570311, Hainan Province, China Zheng Jiaxuan, Master, Attending physician, Department of Pathology, Hainan Provincial People’s Hospital, Haikou 570311, Hainan Province, China
  • Supported by:
    Key Research & Development plan of Hainan Province of China, No. ZDYF2019180 (to WGJ)

摘要:



文题释义:

生物信息学:作为一门新的学科领域,它是把基因组DNA序列信息分析作为源头,在获得蛋白质编码区的信息后进行蛋白质空间结构模拟和预测,然后依据特定蛋白质的功能进行必要的药物设计。基因组信息学、蛋白质空间结构模拟以及药物设计构成了生物信息学的3个重要组成部分。
生物信息学研究内容:生物信息学应包括这3个主要部分:①新算法和统计学方法研究;②各类数据的分析和解释;③研制有效利用和管理数据新工具。

背景:半月板退变是膝关节骨性关节炎的表现之一,但其具体的分子机制仍不清楚。
目的:探讨骨性关节炎退变半月板可能的分子生物学机制。
方法:采用五指山猪的前交叉韧带切除法制备半月板退变猪模型,应用基因芯片技术检测在退变半月板组织中的差异表达基因,运用GO分析、通路分析和核心基因网络分析来发现相关的调控网络。
结果与结论:①研究共检测到差异表达基因893个,其中cyp2c33,gcnt7,ncdn,exd3,MUC13,ppp1r3d,nphp3,upb1,CD81和prph差异表达最显著;②GO分析中显示的一氧化氮生物合成过程的调节、通路分析中发现的TRP通道、核心基因网络分析中检测出的MDFI基因等在引起半月板退变过程可能发挥关键作用;③上述数据说明,实验建立了可靠的半月板退变的动物模型,比较完整地揭示了骨性关节炎半月板退变基因谱的差异表达基因和所涉及的生物学过程和信号通路,为未来该疾病的诊断和治疗提供分子靶标。

https://orcid.org/0000-0002-2572-8546 (黄晖) ;https://orcid.org/0000-0003-0063-4014 (郑佳璇);https://orcid.org/0000-0002-2396-3614 (王广积) 

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: 软骨, 骨性关节炎, 膝关节, 半月板, 软骨细胞, 退变, 基因, 生物信息学, 通路

Abstract: BACKGROUND: Meniscus degeneration is one of the manifestations of knee osteoarthritis, but its specific molecular mechanism is still not very clear.
OBJECTIVE: To explore the possible molecular biological mechanism of meniscus degeneration in knee osteoarthritis. 
METHODS: A meniscus degeneration model was prepared in Wuzhishan pigs through resection of the anterior cruciate ligament. Gene chip technology was used to detect differentially expressed genes in degenerated meniscus tissue. Gene oncology analysis, pathway analysis, and core gene network analysis were performed to discover relevant regulatory networks.
RESULTS AND CONCLUSION: A total of 893 differentially expressed genes were detected in the study, of which cyp2c33, gcnt7, ncdn, exd3, MUC13, ppp1r3d, nphp3, upb1, CD81 and prph were differentially expressed most significantly. The regulation of nitric oxide biosynthetic process in gene oncology analysis, TRP channel in pathway analysis, and MDFI gene in core gene network analysis may play key roles to induce meniscus degeneration. In short, we have established a reliable animal model of meniscus degeneration, and more completely revealed the differentially expressed genes, biological processes and signal pathways related to meniscus degeneration after knee osteoarthritis. These will provide molecular targets for the diagnosis and treatment of the disease in the future.

Key words: cartilage, osteoarthritis, knee joint, meniscus, chondrocyte, degeneration, gene, bioinformatics, pathway

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