Evidence map›Paper›PMID 33853636›Full record

ArticleJournal of orthopaedic surgery and research2021

Identification of key regulators responsible for dysregulated networks in osteoarthritis by large-scale expression analysis.

Song Shi, Fuyin Wan, Zhenyu Zhou, Ran Tao, Yue Lu, Ming Zhou, Fan Liu, Yake Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Periostin regulation and cartilage degradation early after anterior cruciate ligament reconstruction.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Article
  8. Article
  9. Osteoblast Dysfunction in Non-Hereditary Sclerosing Bone Diseases.International journal of molecular sciences · 2021
    Review
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

8 authors at 1 institution in 1 country.

Song Shi *Department of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Fuyin Wan *Department of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Zhenyu ZhouDepartment of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Ran TaoDepartment of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Yue LuDepartment of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Ming ZhouDepartment of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Fan LiuDepartment of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China. liufan19575@163.com.
Yake LiuDepartment of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China. jsntssl1993@163.com.ORCID http://orcid.org/0000-0002-9373-1827
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a worldwide musculoskeletal disorder. However, disease-modifying therapies for OA are not available. Here, we aimed to characterize the molecular signatures of OA and to identify novel therapeutic targets and strategies to improve the treatment of OA.

methodsWe collected genome-wide transcriptome data performed on 132 OA and 74 normal human cartilage or synovium tissues from 7 independent datasets. Differential gene expression analysis and functional enrichment were performed to identify genes and pathways that were dysregulated in OA. The computational drug repurposing method was used to uncover drugs that could be repurposed to treat OA.

resultsWe identified several pathways associated with the development of OA, such as extracellular matrix organization, inflammation, bone development, and ossification. By protein-protein interaction (PPI) network analysis, we prioritized several hub genes, such as JUN, CDKN1A, VEGFA, and FOXO3. Moreover, we repurposed several FDA-approved drugs, such as cardiac glycosides, that could be used in the treatment of OA.

conclusionsWe proposed that the hub genes we identified would play a role in cartilage homeostasis and could be important diagnostic and therapeutic targets. Drugs such as cardiac glycosides provided new possibilities for the treatment of OA.

Indexed as

Cardiac GlycosidesComputational BiologyCyclin-Dependent Kinase Inhibitor p21Drug RepositioningFemaleForkhead Box Protein O3Gene ExpressionGenome-Wide Association StudyHumansMaleMolecular Targeted TherapyOsteoarthritisProtein Interaction MapsProto-Oncogene Proteins c-junTranscription FactorsVascular Endothelial Growth Factor ACardiac GlycosidesCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21Forkhead Box Protein O3FOXO3 protein, humanJUN protein, humanProto-Oncogene Proteins c-junTranscription FactorsVascular Endothelial Growth Factor AVEGFA protein, humanDrug repurposingOsteoarthritisTranscriptional profiling

Identifiers

PMID33853636
PMCPMC8045172
OpenAlexW3115242199

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.