Evidence map›Paper›PMID 34815758›Full record

ArticleExperimental and therapeutic medicine2022

Bioinformatics analysis and experimental validation of differentially expressed genes in mouse articular chondrocytes treated with IL-1β using microarray data.

Fan Liang, Le Peng, Yong-Gang Ma, Wei Hu, Wei-Bing Zhang, Ming Deng, Ya-Ming Li

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Interaction of Neurovascular Signals in the Degraded Condylar Cartilage.Frontiers in bioengineering and biotechnology · 2022
    Article
  7. Targeting CCNB1 Repressed Cartilage Degradation Induced by Inflammation Through NF-κB Pathway in Osteoarthritis.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fan LiangDepartment of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Le PengDepartment of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Yong-Gang MaDepartment of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Wei HuDepartment of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Wei-Bing ZhangDepartment of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Ming DengDepartment of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Ya-Ming LiDepartment of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is the most prevalent chronic degenerative disease that affects the health of the elderly. The present study aimed to identify significant genes involved in OA via bioinformatics analysis. A gene expression dataset (GSE104793) was downloaded from the Gene Expression Omnibus. Bioinformatics analysis was then performed in order to identify differentially expressed genes (DEGs) between untreated chondrocytes and chondrocytes cultured with interleukin-1β (IL-1β) for 24 h. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using Metascape. A protein-protein interaction network of DEGs was constructed using the Search Tool for the Retrieval of Interacting Genes. Gene set enrichment analysis (GSEA) was performed using GSEA software. Furthermore, chondrocytes were extracted and treated with IL-1β (10 ng/ml) for 24 h, and reverse-transcription quantitative PCR was used to confirm differential expression of hub genes. Patient samples were also collected to verify the bioinformatic analysis results. Based on the cut-off criteria used for determination of the DEGs, a total of 844 DEGs, including 498 upregulated and 346 downregulated DEGs, were identified. The DEGs were mainly enriched in the GO terms and KEGG pathways 'inflammatory response', 'negative regulation of cell proliferation', 'ossification', 'taxis', 'blood vessel morphogenesis', 'extracellular structure organization', 'mitotic cell cycle process' and 'TNF signaling pathway'. The majority of the PCR results, namely the differential expression of kininogen 2, complement C3, cyclin B1, cell division cycle 20, cyclin A2, 1-phosphatidylinositol 4-kinase, BUB1 mitotic checkpoint serine/threonine kinase, kinesin family member 11, cyclin B2 and BUB1 mitotic checkpoint serine/threonine kinase B were consistent with the bioinformatics results. Collectively, the present observations provided a regulation network of IL-1β-stimulated chondrocytes, which may provide potential targets of OA therapy.

Indexed as

bioinformatics analysisdifferentially expressed genesosteoarthritis

Identifiers

PMID34815758
PMCPMC8593859

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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.