Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Topics Community

Article

Integrated Bioinformatics and Experimental Validation Reveal Macrophage Polarization-Related Biomarkers for Osteoarthritis Diagnosis

1 Aug 2025

Abstract excerpt

Purpose: Osteoarthritis (OA) is the most common type of arthritis and early detection is crucial to improving prognosis. In this study, we identified crucial genes associated with macrophage polarization in OA and constructed a diagnostic model to provide novel insights for diagnostic and therapeutic strategies. Methods: The GSE55235 and GSE55457 datasets were merged through the GEO database to identify genes...

Topics

Join the communities discussing this publication.

Ferroptosis and cancer prognosis
Immune cells in cancer
Single-cell and spatial transcriptomics

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 40765736
DOI: 10.2147/jmdh.s537507

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrated Bioinformatics and Experimental Validation Reveal Macrophage Polarization-Related Biomarkers for Osteoarthritis DiagnosisPMID 40765736Read ↗

Multi-omics characterization of macrophage polarization-related features in osteoarthritis based on a machine learning computational frameworkSemantic proximity Read ↗

Identification and development of a novel 5-gene diagnostic model based on immune infiltration analysis of osteoarthritisSemantic proximity Read ↗

Machine learning and weighted gene co-expression network analysis identify a three-gene signature to diagnose rheumatoid arthritisSemantic proximity Read ↗

Identification of osteoarthritis-characteristic genes and immunological micro-environment features through bioinformatics and machine learning-based approachesSemantic proximity Read ↗

Identifying hub genes and immune infiltration of osteoarthritis using comprehensive bioinformatics analysisSemantic proximity Read ↗

Screening of diagnostic markers related to immune infiltration in osteoarthritis patients based on machine learningSemantic proximity Read ↗

Six macrophage-associated genes in synovium constitute a novel diagnostic signature for osteoarthritisSemantic proximity Read ↗

Machine learning-based analysis reveals potential diagnostic gene biomarkers associated with immune infiltration in patients with osteoarthritisSemantic proximity Read ↗

Identification of immune microenvironment subtypes and clinical risk biomarkers for osteoarthritis based on a machine learning modelSemantic proximity Read ↗

Screening of Potential Biomarkers and Immune Analysis for Osteoarthritis Based on Machine Learning and WGCNASemantic proximity Read ↗

Identification of key biomarkers and immune infiltration in the peripheral blood of osteoarthritis by bioinformatics analysisSemantic proximity Read ↗

Identifying the Hub Genes and Immune Cell Infiltration in Synovial Tissue between Osteoarthritic and Rheumatoid Arthritic Patients by Bioinformatic ApproachSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.