Evidence map›Paper›PMID 36046996›Full record

ArticleJournal of musculoskeletal & neuronal interactions2022

Identification of key genes and pathways associated with sex difference in osteoarthritis based on bioinformatics analysis.

Junchang Xu, Zijian Yan, Guihua Wu, Yongling Zheng, Xiaolong Liao, Feng Zou

Open access · greenAbstract read
In one paragraph

Article in Journal of musculoskeletal & neuronal interactions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Junchang Xu *Department of Orthopeadics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Zijian Yan *Department of Orthopeadics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Guihua Wu *Department of General Surgery, Affiliated Hospital of Xiangyang Vocational and Technical College, Xiangyang, China.
Yongling ZhengDepartment of Orthopeadics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Xiaolong LiaoDepartment of Orthopeadics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Feng ZouDepartment of Orthopeadics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Hubei University of Arts and Science · CNXiangyang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study aimed to identify different key genes and pathways between postmenopausal females and males by studying differentially expressed genes (DEGs).

methodsGSE32317 and GSE55457 gene expression data were downloaded from the GEO database, and DEGs were discovered using R software to obtain overlapping DEGs. The interaction between overlapping DEGs was further analyzed by establishing the protein-protein interaction (PPI) network. Finally, GO and KEGG were used for enrichment analysis.

results924 overlapping DEGs between postmenopausal women and men with osteoarthritis (OA) were identified, including 674 up-regulated genes and 249 down-regulated ones. And 10 hub genes were identified in the PPI network, including BMP4, KDM6A, JMJD1C, NFATC1, PRKX, SRF, ZFX, LAMTOR5, UFD1L and AMBN. The findings of the functional enrichment analysis suggested that these genes were predominantly expressed in MAPK signaling pathway as well as the Thyroid hormone signaling pathway, indicating that those two pathways may be involved in onset and disease progression of OA in postmenopausal patients.

conclusionBMP4, KDM6A, JMJD1C, PRKX, ZFX and LAMTOR5 are expected to play crucial roles in disease development in postmenopausal patients and may be ideal targets or prognostic markers for the treatment of OA.

Indexed as

Computational BiologyOsteoarthritisDatabases, GeneticFemaleGene Expression ProfilingHistone DemethylasesHumansJumonji Domain-Containing Histone DemethylasesMaleOxidoreductases, N-DemethylatingSex CharacteristicsHistone DemethylasesJMJD1C protein, humanJumonji Domain-Containing Histone DemethylasesOxidoreductases, N-DemethylatingDifferentially Expressed GenesHub genesOsteoarthritisSex Difference

Identifiers

PMID36046996
PMCPMC9438520
OpenAlexW4294130133

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.