Evidence map›Paper›PMID 39585570›Full record

ArticleClinical rheumatology2025

Screening of potential biomarkers of osteoarthritis: a bioinformatics analysis.

Yongwang Hou, Zhicong Yang, Junshuai Ma, Jiangmin Liu, Xiaojie Sun, Jingqi Li, Bin Zhang

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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.

Yongwang HouClinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China. 408931519@qq.com.ORCID http://orcid.org/0000-0001-8879-9264
Zhicong YangCentral Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China.
Junshuai MaClinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China.
Jiangmin LiuClinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China.
Xiaojie SunClinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China.
Jingqi LiCentral Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China.
Bin ZhangClinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China. zbzb612@126.com.

Funding

Health Commission of Hebei Province 20240208Health Commission of Hebei Province 20240689Health Commission of Hebei Province 20241196
6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is the most common joint disease worldwide, with an age-associated increasing in both incidence and prevalence. However, early diagnosis of OA is a challenge due to the lack of effective biomarkers. This study aimed to identify new biomarkers and mechanisms of OA.

methodsMicroarray expression data of synovial tissues from osteoarthritic and healthy populations were downloaded from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified using GEO2R. Functions and enrichment pathways of DEGs were explained by enrichment analysis and construction of protein-protein interaction (PPI) networks, and hub genes were identified.

resultsBy performing Venn analysis on the DEGs obtained from the two datasets, 28 upregulated and 84 downregulated DEGs were gained. JUN, activating transcription factor 3 (ATF3), and Dual-specificity phosphatase 1 (DUSP1), which play important roles in OA, were screened using PPI network construction. The receiver operating characteristic (ROC) curve of JUN, ATF3, and DUSP1 revealed satisfactory diagnostic value for OA. hsa-mir-26b-5p interacts with JUN, ATF3, and DUSP1.

conclusionThe expression of JUN, ATF3, and DUSP1 was reduced in patients with OA and the three genes mentioned above could be used as potential markers for the diagnosis of OA. hsa-mir-26b-5p may play an important role in the pathogenesis of OA and may be a potential therapeutic target. Key Points • JUN, ATF3, and DUSP1 could be used as potential markers for the diagnosis of OA. • hsa-mir-26b-5p may play an important role in the pathogenesis of OA.

Indexed as

OsteoarthritisActivating Transcription Factor 3BiomarkersComputational BiologyDual Specificity Phosphatase 1Gene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsProtein Interaction MapsROC CurveSynovial MembraneActivating Transcription Factor 3ATF3 protein, humanBiomarkersDual Specificity Phosphatase 1DUSP1 protein, humanMicroRNAsBioinformaticsBiomarkersOsteoarthritis

Identifiers

PMID39585570

What Socratic holds

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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 Socratic graph.