Evidence map›Paper›PMID 39213112›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2024

Identification of potential pathogenic genes related to osteoporosis and osteoarthritis.

Zhanchao Wang, Wei Wang, Bin Zuo, Hua Lu

Abstract read
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Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhanchao Wang
Wei Wang
Bin Zuo
Hua Lu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) and osteoporosis (OS) are the most common orthopedic diseases.

objectiveTo identify important genes as biomarkers for the pathogenesis of OA and OS.

methodsMicroarray data for OA and OS were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between the OA and healthy control groups and between the OS and healthy control groups were identified using the Limma software package. Overlapping hub DEGs were selected using MCC, MNC, DEGREE, and EPC. Weighted gene co-expression network analysis (WGCNA) was used to mine OA- and OS-related modules. Shared hub DEGs were identified, human microRNA disease database was used to screen microRNAs associated with OA and OS, and an miRNA-target gene network was constructed. Finally, the expression of shared hub DEGs was evaluated.

resultsA total of 104 overlapping DEGs were identified in both the OA and OS groups, which were mainly related to inflammatory biological processes, such as the Akt and TNF signaling pathways Forty-six hub DEGs were identified using MCC, MNC, DEGREE, and EPC modules using different algorithms. Seven modules with 392 genes that highly correlated with disease were identified in the WGCNA. Furthermore, 10 shared hub DEGs were identified between the OA and OS groups, including OGN, FAP, COL6A3, THBS4, IGFBP2, LRRC15, DDR2, RND3, EFNB2, and CD48. A network consisting of 8 shared hub DEGs and 55 miRNAs was constructed. Furthermore, CD48 was significantly upregulated in the OA and OS groups, whereas EFNB2, DR2, COL6A3, and RND3 were significantly downregulated in OA and OS. Other hub DEGs were significantly upregulated in OA and downregulated in OS.

conclusionsThe ten genes may be promising biomarkers for modulating the development of both OA and OS.

Indexed as

Gene Regulatory NetworksMicroRNAsOsteoarthritisOsteoporosisDatabases, GeneticGene Expression ProfilingHumansMicroRNAshub DEGsOsteoarthritisosteoporosis

Identifiers

PMID39213112
PMCPMC11613085

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.