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基于生物信息学分析鉴定与骨关节炎性别差异相关的关键基因和通路。

Identification of key genes and pathways associated with sex difference in osteoarthritis based on bioinformatics analysis.

机构信息

Department of Orthopeadics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.

Department of General Surgery, Affiliated Hospital of Xiangyang Vocational and Technical College, Xiangyang, China.

出版信息

J Musculoskelet Neuronal Interact. 2022 Sep 1;22(3):393-400.

PMID:36046996
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9438520/
Abstract

OBJECTIVES

The present study aimed to identify different key genes and pathways between postmenopausal females and males by studying differentially expressed genes (DEGs).

METHODS

GSE32317 and GSE55457 gene expression data were downloaded from the GEO database, and DEGs were discovered using R software to obtain overlapping DEGs. The interaction between overlapping DEGs was further analyzed by establishing the protein-protein interaction (PPI) network. Finally, GO and KEGG were used for enrichment analysis.

RESULTS

924 overlapping DEGs between postmenopausal women and men with osteoarthritis (OA) were identified, including 674 up-regulated genes and 249 down-regulated ones. And 10 hub genes were identified in the PPI network, including BMP4, KDM6A, JMJD1C, NFATC1, PRKX, SRF, ZFX, LAMTOR5, UFD1L and AMBN. The findings of the functional enrichment analysis suggested that these genes were predominantly expressed in MAPK signaling pathway as well as the Thyroid hormone signaling pathway, indicating that those two pathways may be involved in onset and disease progression of OA in postmenopausal patients.

CONCLUSION

BMP4, KDM6A, JMJD1C, PRKX, ZFX and LAMTOR5 are expected to play crucial roles in disease development in postmenopausal patients and may be ideal targets or prognostic markers for the treatment of OA.

摘要

目的

本研究旨在通过研究差异表达基因(DEGs),鉴定绝经后女性和男性之间的不同关键基因和途径。

方法

从 GEO 数据库中下载 GSE32317 和 GSE55457 基因表达数据,使用 R 软件发现 DEGs,以获得重叠 DEGs。通过建立蛋白质-蛋白质相互作用(PPI)网络进一步分析重叠 DEGs 之间的相互作用。最后,使用 GO 和 KEGG 进行富集分析。

结果

鉴定出 924 个绝经后女性和男性骨关节炎(OA)患者之间的重叠 DEGs,包括 674 个上调基因和 249 个下调基因。在 PPI 网络中鉴定出 10 个枢纽基因,包括 BMP4、KDM6A、JMJD1C、NFATC1、PRKX、SRF、ZFX、LAMTOR5、UFD1L 和 AMBN。功能富集分析的结果表明,这些基因主要在 MAPK 信号通路以及甲状腺激素信号通路中表达,表明这两个通路可能参与绝经后患者 OA 的发病和疾病进展。

结论

BMP4、KDM6A、JMJD1C、PRKX、ZFX 和 LAMTOR5 有望在绝经后患者疾病发展中发挥重要作用,可能是 OA 治疗的理想靶点或预后标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/2a9909f8b643/JMNI-22-393-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/3669ef367732/JMNI-22-393-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/e1398d2a6c61/JMNI-22-393-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/bffcc7114038/JMNI-22-393-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/6ee627031dd7/JMNI-22-393-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/2a9909f8b643/JMNI-22-393-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/3669ef367732/JMNI-22-393-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/e1398d2a6c61/JMNI-22-393-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/bffcc7114038/JMNI-22-393-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/6ee627031dd7/JMNI-22-393-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a2/9438520/2a9909f8b643/JMNI-22-393-g005.jpg

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