Evidence map›Paper›PMID 41291434›Full record

ArticleMolecular medicine (Cambridge, Mass.)2025

Identification of osteoarthritis-related genes and potential drugs based on single cell RNA-seq data.

Ning Wang, Kun Liu, Jia-Li Li, Wei-Wei Pang, Fu-Rong Zhang, Qin Zeng, Yun Deng, Xiao-Chao Qu, Xiang-Ding Chen, Hong-Wen Deng and 1 more

Abstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Ning Wang *Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China.
Kun Liu *Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China.
Jia-Li LiLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China.
Wei-Wei PangLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China.
Fu-Rong ZhangLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China.
Qin ZengLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China.
Yun DengZebrafish Genetics Laboratory, College of Life Sciences, Hunan Normal University, Changsha, 410081, China.
Xiao-Chao QuLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China.
Xiang-Ding ChenLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China.
Hong-Wen DengTulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, 1440 Canal St., Suite 1610, New Orleans, LA, 70112, USA. hdeng2@tulane.edu.
Li-Jun TanLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China. ljtan@hunnu.edu.cn.

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HUI SHEN · 2017 to 2026
$24.3M
Intensive Lifestyle Intervention, Metabolomics, and Risk of Frailty Fracture in Overweight or Obese Patients with Type 2 DiabetesR01AG068232 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JOHNSON, KAREN C, ZHAO, QI · 2021 to 2025
$3.1M
NIA NIH HHS R01 AG068232NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

Osteoarthritis (OA) is a global problem that seriously affects human health. At present, there is still a lack of effective drugs to treat OA. Therefore, we need to find more drugs with preventive and therapeutic effects on OA. In this study, we obtained single-cell RNA sequencing (scRNA-seq) and bulk-RNA seq datasets from Gene Expression Omnibus (GEO). By using high-dimensional weighted correlation network analysis (hdWGCNA), random forest method and protein-protein interaction (PPI) network analyses, five key genes (CXCL8, CCL20, MMP3, BIRC3 and ICAM1) related to OA were identified and the RT-qPCR experiments verified the differential expression of CXCL8, CCL20 and BIRC3 between Triclocarban (TCC) treated zebrafishes and controls. The SAVERUNNER algorithm predicted 42 candidate drugs. Mendelian randomization (MR) of the candidate drugs showed that the increased expression of TUBB1 led to a reduced risk of OA (β = -0.08, P-value = 4.56E-04), while Cabazitaxel (a microtubule dynamics inhibitor commonly used in the treatment of advanced prostate cancer) inhibits the expression of TUBB1, thus increases the risk of OA. Pitavastatin (a statin lipid-lowering drug that can reduce blood lipid levels and the risk of cardiovascular diseases) target genes expression (for HMGCR [Formula: see text]= 0.13, P-value = 2.67E-06, for ITGAL [Formula: see text]= 0.08, P-value = 6.57E-08) leads to an increased risk of OA, while Pitavastatin inhibits the expression of target genes, thus reduces risk of OA. The zebrafish experiments showed that Pitavastatin can increase the joint space of TCC treated OA zebrafish, while Cabazitaxel can decrease the joint space of TCC treated OA zebrafish. The RT-qPCR results of zebrafish verified that Pitavastatin inhibited the expression of HMGCR, while Cabazitaxel inhibited the expression of TUBB1. Our study suggested that Pitavastatin has therapeutic effects on OA, while Cabazitaxel increases the risk of OA.

Indexed as

OsteoarthritisSingle-Cell AnalysisAnimalsComputational BiologyGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansProtein Interaction MapsRNA-SeqDrug repositioningMendelian randomizationNetwork-based analysesOsteoarthritis

Identifiers

PMID41291434
PMCPMC12763847

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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.