Evidence map›Paper›PMID 40024232›Full record

ArticleJournal of musculoskeletal & neuronal interactions2025

ITGB5 as a Potential Diagnostic Biomarker for Osteoarthritis.

Shouchao Hu, Jianxin Huang, Wenzhi Wang

Abstract read
In one paragraph

Article in Journal of musculoskeletal & neuronal interactions, 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

3 authors.

Shouchao Hu *Department of Orthopedics, Baodi Hospital of Tianjin Medical University, Tianjin, China.
Jianxin Huang *Department of Orthopedics, Baodi Hospital of Tianjin Medical University, Tianjin, China.
Wenzhi WangDepartment of Orthopedics, Baodi Hospital of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOsteoarthritis (OA) is a prevalent degenerative joint disease, especially occur in the elderly. This study aimed to uncover a novel biomarker for early diagnosis and treatment of OA.

methodsWGCNA, differential expression analysis and PPI network were used for screening hub genes-related to OA, utilizing the GSE55235 and GSE57218 datasets from GEO database.

resultsBased on the data in the GEO datasets, compared to normal tissues, ITGB5 was obviously elevated in OA cartilage and synovial samples. Additionally, ROC curve results validated the diagnostic value of ITGB5 in OA. Mechanistically, transcription factors KLF4 and KLF11 could modulate ITGB5 gene transcription via binding to its promoter region, thereby affecting ITGB5 gene expression in OA tissues. GSEA results showed that ITGB5 gene was closely related to p53, wnt, TNF and T cell receptor signaling pathways, suggesting that ITGB5 may play potential roles in affecting cell apoptosis and inflammation in OA. Moreover, ITGB5 levels in OA samples was positively correlated to T helper type 1 cells, natural killer T cells, macrophages, memory CD8 T cells, activated dendritic cells.

conclusionIn this study, we found that ITGB5 was obviously elevated in OA samples. Moreover, ITGB5 may function as a diagnostic biomarker in OA.

Indexed as

OsteoarthritisBiomarkersHumansBiomarkersBiomarkerDiagnosisITGB5Osteoarthritis

Identifiers

PMID40024232
PMCPMC11880847

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