创伤后肘关节僵硬发病机制的新临床见解:人类收缩关节囊的表达谱分析。

IF 4.2 2区 医学 Q2 IMMUNOLOGY Journal of Inflammation Research Pub Date : 2025-01-06 eCollection Date: 2025-01-01 DOI:10.2147/JIR.S499986
Nan Liu, Jinlei Dong, Lianxin Li, Jiajun Xu, Changhao Yang, Zhanchuan Yu, Fanxiao Liu
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引用次数: 0

摘要

背景:创伤后肘关节僵硬是一种复杂的并发症,具有关节囊挛缩和异位骨化的两个特点。目前,创伤后肘关节僵硬的基因组机制和发病机制仍不充分了解。本研究旨在鉴定差异表达基因(DEGs)并阐明创伤后肘关节僵硬的分子网络,为转录组水平的疾病机制提供新的见解。方法:对来自创伤后肘关节僵硬患者的6个关节囊样本和来自肘关节骨折患者的3个对照关节囊样本进行全球转录组测序。鉴定并分析了差异表达基因(DEGs)、microRNAs和长链非编码rna (LncRNAs)。进行功能富集分析,构建相关蛋白-蛋白相互作用(PPI)网络。鉴定了靶向这些deg的microrna,并使用ENCODE数据库预测了靶向deg的转录因子(tf)。最后,通过实时定量聚合酶链反应(qRT-PCR)对关键基因进行验证。结果:共检测到4909个与蛋白编码、LncRNA和microRNA相关的deg,其中上调2124个,下调2785个。京都基因与基因组百科全书(KEGG)通路分析显示,DEGs在36条信号通路中显著富集,主要涉及炎症反应和细胞外基质(ECM)受体相互作用。蛋白质-蛋白质相互作用(PPI)网络分析强调了SPP1、IBSP、MMP13和MYO1A等基因具有更高程度的连通性。通过microrna -转录因子调控网络分析,预测关键microrna (hsa-miR-186-5p、hsa-miR-515-5p和hsa-miR-590-3p)和转录因子(TFDP1和STAT3)与创伤后肘关节僵硬的发病机制有关。结论:该研究提供了与创伤后肘关节僵硬相关的收缩囊变化的分子机制。SPP1、IBSP、MMP13、MYO1A等枢纽基因,关键microrna (has-miR-186-5p、has-miR-515-5p、hsa-miR-590-3p)和tf (TFDP1、STAT3)可能作为创伤后肘关节僵硬的预后和治疗靶点,为今后临床治疗的研究方向提供新的思路。
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Novel Clinical Insights into the Pathogenesis of Posttraumatic Elbow Stiffness: An Expression Profile Analysis of Contracted Joint Capsule in Human.

Background: Posttraumatic elbow stiffness is a complex complication with two characteristics of capsular contracture and heterotopic ossification. Currently, genomic mechanisms and pathogenesis of posttraumatic elbow stiffness remain inadequately understood. This study aims to identify differentially expressed genes (DEGs) and elucidate molecular networks of posttraumatic elbow stiffness, providing novel insights into disease mechanisms at transcriptome level.

Methods: Global transcriptome sequencing was conducted on six capsular samples from individuals with posttraumatic elbow stiffness and three control capsular samples from individuals with elbow fractures. Differentially expressed genes (DEGs), microRNAs, and long non-coding RNAs (LncRNAs) were identified and analyzed. Functional enrichment analysis was performed, and the associated protein-protein interaction (PPI) network was constructed. MicroRNAs targeting these DEGs were identified, and transcription factors (TFs) targeting DEGs were predicted using the ENCODE database. Finally, key DEGs were validated by quantitative real-time polymerase chain reaction (qRT-PCR).

Results: A total of 4909 DEGs associated with protein-coding, LncRNA and microRNA were detected, including 2124 upregulated and 2785 downregulated. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that the DEGs were significantly enriched in 36 signaling pathways, notably involving inflammatory responses and extracellular matrix (ECM) receptor interactions. The protein-protein interaction (PPI) network analysis highlighted genes such as SPP1, IBSP, MMP13 and MYO1A as having higher degrees of connectivity. Key microRNAs (hsa-miR-186-5p, hsa-miR-515-5p, and hsa-miR-590-3p) and transcription factors (TFDP1 and STAT3) were predicted to be implicated in the pathogenesis of posttraumatic elbow stiffness through the microRNA-transcription factor regulatory network analysis.

Conclusion: The study provided insights into the molecular mechanisms underlying the changes in the contracted capsules associated with posttraumatic elbow stiffness. Hub genes including SPP1, IBSP, MMP13, and MYO1A, key microRNAs (has-miR-186-5p, has-miR-515-5p, hsa-miR-590-3p) and TFs (TFDP1 and STAT3) may serve as prognostic and therapeutic targets of posttraumatic elbow stiffness, and provide a new idea for the future research direction of clinical treatment.

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来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
期刊最新文献
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