Evidence map›Paper›PMID 34790731›Full record

ArticleAnnals of translational medicine2021

Weighted gene co-expression network analysis reveals specific modules and hub genes related to immune infiltration of osteoarthritis.

Jiangang Cao, Han Ding, Jun Shang, Lei Ma, Qi Wang, Shiqing Feng

Abstract read
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Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing 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

14 citing papers in PubMed.

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  6. Review
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  8. Identification of potential pathogenic genes related to osteoporosis and osteoarthritis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
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  9. Article
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  12. Identification of Key Diagnostic Markers and Immune Infiltration in Osteoarthritis.Combinatorial chemistry & high throughput screening · 2023
    Article
  13. Article
  14. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiangang Cao *Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Han Ding *Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Jun Shang *Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Lei MaDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Qi WangDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Shiqing FengDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of osteoarthritis (OA), a chronic degenerative disease, is increasing every year. There is no effective clinical treatment for OA and the pathological mechanism remains unclear. Early diagnosis is an effective strategy to control the progress of OA. In this study, we aimed to identify potential early diagnostic biomarkers.

methodsWe downloaded the gene expression profile dataset, GSE51588 and GSE55235, from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) public database. The differentially expressed genes (DEGs) were screened out using the "limma" R package. Weighted gene co-expression network analysis (WGCNA) was utilized to build the co-expression network between the normal and OA samples. A Venn diagram was constructed to detect the hub genes. Potential molecular mechanisms and signaling pathways were enriched by gene set variation analysis (GSVA). Single sample gene set enrichment analysis (ssGSEA) was used to identify the immune infiltration of OA.

resultsWe screened out three hub genes based on WGCNA and DEGs in this study. GSVA results showed that nuclear factor interleukin-3 (NFIL3) was related to tumor necrosis factor alpha (TNF-α) signaling via nuclear factor kappa-B (NF-κB), the reactive oxygen species pathway, and myelocytomatosis (MYC) targets v2. Highly-expressed ADM (adrenomedullin) pathways included TNF-α signaling via NF-κB, the reactive oxygen species pathway, and ultraviolet (UV) response up. OGN (osteoglycin)-enriched pathways included epithelial mesenchymal transition, coagulation, and peroxisome.

conclusionsWe identified three hub genes (

Indexed as

differentially expressed genes (DEGs)gene set variation analysis (GSVA)hub genesOsteoarthritis (OA)weighted gene co-expression network analysis (WGCNA)

Identifiers

PMID34790731
PMCPMC8576690

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