Evidence map›Paper›PMID 35093162›Full record

ArticleHereditas2022

Identification and development of the novel 7-genes diagnostic signature by integrating multi cohorts based on osteoarthritis.

Yaguang Han, Jun Wu, Zhenyu Gong, Yiqin Zhou, Haobo Li, Yi Chen, Qirong Qian

Abstract read
In one paragraph

Article in Hereditas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yaguang Han *Department of Joint Surgery and Sports Medicine, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China.
Jun Wu *Department of Joint Surgery and Sports Medicine, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China.
Zhenyu GongDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yiqin ZhouDepartment of Joint Surgery and Sports Medicine, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China.
Haobo LiDepartment of Joint Surgery and Sports Medicine, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China.
Yi ChenDepartment of Joint Surgery and Sports Medicine, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China. lother@163.com.
Qirong QianDepartment of Joint Surgery and Sports Medicine, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China. qianqr@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA chronic progressive degenerative joint disease, such as osteoarthritis (OA) is positively related to age. The medical economy is facing a major burden, because of the high disability rate seen in patients with OA. Therefore, to prevent and treat OA, exploring the diagnostic biomarkers of OA will be of great significance.

methodsDifferentially expressed genes (DEGs) were obtained from the Gene Expression Omnibus database using the RobustRankAggreg R package, and a protein-protein interaction network was constructed. The module was obtained from Cytoscape, and the four algorithms of degree, MNC, closeness, and MCC in CytoHubba were used to identify the hub genes. A diagnostic model was constructed using Support Vector Machines (SVM), and the ability of the model to predict was evaluated by other cohorts.

resultsFrom normal and OA samples, 136 DEGs were identified, out of which 45 were downregulated in the normal group and 91 were upregulated in the OA group. These genes were associated with the extracellular matrix-receptor interactions, the PI3K-Akt signaling pathway, and the protein digestion and absorption pathway, as per a functional enrichment analysis. Finally, we identified the 7 hub genes (COL6A3, COL1A2, COL1A1, MMP2, COL3A1, POST, and FN1). These genes have important roles and are widely involved in the immune response, apoptosis, inflammation, and bone development. These 7 genes were used to construct a diagnostic model by SVM, and it performed well in different cohorts. Additionally, we verified the methylation expression of these hub genes.

conclusionsThe 7-genes signature can be used for the diagnosis of OA and can provide new ideas in the clinical decision-making for patients with OA.

Indexed as

OsteoarthritisPhosphatidylinositol 3-KinasesGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansPhosphatidylinositol 3-Kinases

Identifiers

PMID35093162
PMCPMC8801091

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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.