和 是与骨关节炎免疫浸润相关的线粒体相关生物标志物。 (注:原文中“and”和“are”之间缺少具体内容)

and are mitochondria-related biomarkers associated with immune infiltration in osteoarthritis.

作者信息

Lv Wenxue, Yu Mingxiu, Yan Wenhai, Cai Yuli, Wang Weiguo

机构信息

Department of Orthopedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

The First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.

出版信息

Front Genet. 2025 Jul 30;16:1585775. doi: 10.3389/fgene.2025.1585775. eCollection 2025.

Abstract

BACKGROUND

Mitochondrial dynamics and mitophagy play crucial roles in osteoarthritis (OA); however, the specific contributions of mitochondrial dynamics-related genes (MD-RGs) and mitophagy-related genes (MP-RGs) remain unclear. This study aimed to elucidate the precise mechanisms linking these genes in the context of OA.

METHODS

OA-related transcriptome datasets and single-cell RNA sequencing (scRNA-seq) dataset incorporating MD-RGs and MP-RGs were utilized in this study. Hub genes were identified through differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning. A nomogram was then constructed based on the hub genes. Enrichment and immune infiltration analyses were performed on the hub genes, and key cell types were identified based on hub gene expression. Finally, the expression of the hub genes was validated using reverse transcription-quantitative polymerase chain reaction (RT-qPCR).

RESULTS

and were identified as hub genes linked to mitochondrial dynamics and mitophagy in OA. These genes enabled the construction of a reliable nomogram for predicting OA risk. Enrichment analysis revealed that the top biological processes converged on the ECM-receptor interaction, underscoring its critical role in OA pathogenesis. Immune infiltration analysis uncovered significant disparities in 10 immune cell types, including activated CD4 T cells and central memory CD4 T cells, between OA patients and healthy controls. The levels of these immune cells were strongly correlated with the expression of and . Additionally, endothelial cells, monocytes, and T cells emerged as key cellular players in OA. RT-qPCR validation showed that was significantly downregulated in OA samples, and exhibited a similar trend, suggesting their potential roles in OA progression.

CONCLUSION

This study identified and as key genes linked to mitochondrial dynamics and mitophagy in OA. These findings provide a theoretical basis and valuable reference for the diagnosis and treatment of OA.

摘要

背景

线粒体动力学和线粒体自噬在骨关节炎(OA)中起关键作用;然而,线粒体动力学相关基因(MD-RGs)和线粒体自噬相关基因(MP-RGs)的具体作用仍不清楚。本研究旨在阐明这些基因在OA背景下的精确机制。

方法

本研究利用了包含MD-RGs和MP-RGs的OA相关转录组数据集和单细胞RNA测序(scRNA-seq)数据集。通过差异表达分析、加权基因共表达网络分析(WGCNA)和机器学习确定枢纽基因。然后基于枢纽基因构建列线图。对枢纽基因进行富集和免疫浸润分析,并根据枢纽基因表达确定关键细胞类型。最后,使用逆转录定量聚合酶链反应(RT-qPCR)验证枢纽基因的表达。

结果

[具体基因名称1]和[具体基因名称2]被确定为与OA中线粒体动力学和线粒体自噬相关的枢纽基因。这些基因能够构建一个可靠的列线图来预测OA风险。富集分析显示,最主要的生物学过程集中在细胞外基质-受体相互作用上,强调了其在OA发病机制中的关键作用。免疫浸润分析发现,OA患者和健康对照之间在10种免疫细胞类型(包括活化的CD4 T细胞和中枢记忆CD4 T细胞)上存在显著差异。这些免疫细胞的水平与[具体基因名称1]和[具体基因名称2]的表达密切相关。此外,内皮细胞、单核细胞和T细胞是OA中的关键细胞参与者。RT-qPCR验证显示,[具体基因名称1]在OA样本中显著下调,[具体基因名称2]也呈现类似趋势,表明它们在OA进展中的潜在作用。

结论

本研究确定了[具体基因名称1]和[具体基因名称2]为与OA中线粒体动力学和线粒体自噬相关的关键基因。这些发现为OA的诊断和治疗提供了理论基础和有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4815/12343263/6d0deeac8ef5/fgene-16-1585775-g001.jpg

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