AIMC Topic: Osteoarthritis
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Quantitative ultrasound classification of healthy and chemically degraded ex-vivo cartilage.
Scientific reports
Jul 1, 2025
In this study, we explore the potential of ten quantitative (radiofrequency-based) ultrasound parameters to assess the progressive loss of collagen and proteoglycans, mimicking an osteoarthritis condition in ex-vivo bovine cartilage samples. Most ana...
Exploration of shared pathogenic factors and causative genes in early-stage endometrial cancer and osteoarthritis.
Scientific reports
Jul 1, 2025
Osteoarthritis (OA) has been implicated in the development and progression of early-stage endometrial cancer (EC), suggesting shared pathogenic factors between the two diseases. This study aimed to investigate the causal relationship between OA and E...
Screening biomarkers related to cholesterol metabolism in osteoarthritis based on transcriptomics.
Scientific reports
Jul 1, 2025
Cholesterol metabolism-related genes (CMRGs) have been associated with osteoarthritis (OA), but their specific regulatory mechanisms remain unclear. This study aimed to investigate the role of CMRGs in OA and provide new insights into its treatment. ...
Integrated bioinformatics and network pharmacology to identify and validate macrophage polarization related hub genes in the treatment of osteoarthritis with Astragalus membranaceus.
Journal of orthopaedic surgery and research
May 30, 2025
BACKGROUND: Macrophage polarization exacerbates the pathological processes of osteoarthritis (OA). Astragalus membranaceus (AM) can repair chondrocytes and serve as a protective agent for OA. Therefore, the study intended to identify macrophage polar...
Recent advances in omics and the integration of multi-omics in osteoarthritis research.
Arthritis research & therapy
May 3, 2025
Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic factors. Given its high global prevalence and heterogeneity, developing effective and personalized treatment methods is crucial. This requires identifyin...
Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.
Scientific reports
Apr 24, 2025
Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly among individuals over the age of 45. This condition causes joint pain and dysfunction, significantly disrupting daily life. The objective of this stu...
Advancing osteoarthritis research: the role of AI in clinical, imaging and omics fields.
Bone research
Apr 22, 2025
Osteoarthritis (OA) is a degenerative joint disease with significant clinical and societal impact. Traditional diagnostic methods, including subjective clinical assessments and imaging techniques such as X-rays and MRIs, are often limited in their ab...
Molecular features and diagnostic modeling of synovium- and IPFP-derived OA macrophages in the inflammatory microenvironment via scRNA-seq and machine learning.
Journal of orthopaedic surgery and research
Apr 17, 2025
BACKGROUND: Osteoarthritis (OA) is the leading cause of degenerative joint disease, with total joint replacement as the only definitive cure. However, no disease-modifying therapy is currently available. Inflammation and fibrosis in the infrapatellar...
Accelerometer-derived classifiers for early detection of degenerative joint disease in cats.
Veterinary journal (London, England : 1997)
Apr 9, 2025
Decreased mobility is a clinical sign of degenerative joint disease (DJD) in cats, which is highly prevalent, with 61 % of cats aged six years or older showing radiographic evidence of DJD. Radiographs can reveal morphological changes and assess join...
Screening necroptosis genes influencing osteoarthritis development based on machine learning.
Scientific reports
Mar 15, 2025
Machine learning can be applied to identify key genes associated with osteoarthritis (OA). This study aimed to explore the differential expression of necroptosis-related genes (NRGs) during the progression of OA, identify key gene modules strongly li...
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