Evidence map›Paper›PMID 40164659›Full record

ArticleScientific reports2025

Integrated bioinformatics and clinical data identify three novel biomarkers for osteoarthritis diagnosis and synovial immune.

Zheng Zhu, Bizhi Tu, Cheng Peng, Xun Xu, Peizhi Lu, Rende Ning

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Zheng Zhu *Department of Orthopedics, Hefei First People's Hospital, Anhui Medical University, 390 Huaihe Road, Hefei, 230061, Anhui, China.
Bizhi Tu *Department of Orthopedics, Hefei First People's Hospital, Anhui Medical University, 390 Huaihe Road, Hefei, 230061, Anhui, China.
Cheng Peng *Department of Orthopedics, Hefei First People's Hospital, Anhui Medical University, 390 Huaihe Road, Hefei, 230061, Anhui, China.
Xun XuDepartment of Orthopedics, Hefei First People's Hospital, Anhui Medical University, 390 Huaihe Road, Hefei, 230061, Anhui, China.
Peizhi LuDepartment of Orthopedics, Hefei First People's Hospital, Anhui Medical University, 390 Huaihe Road, Hefei, 230061, Anhui, China.
Rende NingDepartment of Orthopedics, Hefei First People's Hospital, Anhui Medical University, 390 Huaihe Road, Hefei, 230061, Anhui, China. nrd1972@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a degenerative joint disease that can be aggravated by synovitis and synovial immune disorders (SID). However, the role of synovial SID-related genes in OA synovium remains poorly understood. OA synovial and peripheral blood datasets were obtained from the GEO database ( https://www.ncbi.nlm.nih.gov/ ). Immune-related genes ( https://reactome.org/ ) showing differential expression in peripheral blood were identified as immune disorder genes. Subsequently, differentially expressed immune disorder genes in OA synovium were further identified as SID genes. The Venn diagram, random forest, SVM-RFE algorithm, and multivariate analysis were employed to determine SID-related hub genes in OA synovium. Using the identified hub genes, we constructed and validated a diagnostic model for predicting OA occurrence. The correlation between hub gene expression and immune-related modules was explored using CIBERSORT and MCP-counter analyses. We identified three SID-related hub genes (ACAT1, SPHK1, and ACACB) in OA synovium. The diagnostic model incorporating these hub genes demonstrated reliable predictive accuracy (AUC = 0.939). Through qPCR analysis, we quantitated the expression levels of the hub genes and confirmed that three hub genes could serve as novel biomarkers for OA patients (AUC = 0.960). Furthermore, we observed a significant correlation between the expression of these hub genes and immune cell infiltration, as well as inflammatory cytokine levels in OA synovium. Our findings suggest that three SID-related hub genes have the potential to serve as diagnostic biomarkers for OA patients. These genes are associated with immune disorder and contribute to immune alterations within the OA synovium.

Indexed as

Computational BiologyOsteoarthritisSynovial MembraneBiomarkersFemaleGene Expression ProfilingHumansMaleBiomarkersBioinformaticsBiomarkerDiagnostic modelImmune infiltrationOsteoarthritis

Identifiers

PMID40164659
PMCPMC11958655

What OpenQuestion holds

Textmetadata
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.