Arthritis

Integrating network toxicology, molecular docking and experimental validation reveals potential mechanisms of DEHP in osteoarthritis.

Di(2-ethylhexyl) phthalate (DEHP), a ubiquitous environmental endocrine disruptor, has been implicated in osteoarthritis (OA) pathogenesis, although the underlying molecular mechanisms remain poorly understood. This study integrates network toxicology, molecular docking, Mendelian randomization (MR), and experimental validation to elucidate how DEHP exposure contributes to cartilage degradation. B...

Development and External Validation of a Transcriptome-Based Multivariable Prediction Model for Treatment-Free Remission in Chronic Myeloid Leukemia.

PURPOSE: Treatment-free remission (TFR) is a major therapeutic objective in chronic myeloid leukemia (CML). However, nearly 50% of patients relapse after tyrosine kinase inhibitor (TKI) discontinuation, and no robust predictive biomarker is currently available. METHODS: We profiled peripheral blood cell transcriptomes at imatinib (IMA) discontinuation in patients from the multicenter STIM2 trial (...

Identification of aging-related signature genes in temporomandibular joint degeneration based on bioinformatics.

BACKGROUND: Degenerative temporomandibular joint diseases (TMJ-DJD) are increasingly affecting elderly populations, with aging being a significant ris...

Machine learning-based prediction of 30-day mortality in critically ill patients with rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis patients in the ICU face a high risk of mortality. While traditional ICU scoring systems are not specifically designe...

High Patient Willingness to Grant Broad Consent for Real-World Data Use in Rheumatology-Implications for Real-World Data Platform Governance: Cross-Sectional Study.

BACKGROUND: Medical real-world data (RWD) are often siloed across organizations, making them inaccessible for research. Unlocking these data could adv...

A clinical applicable study on lower limb segmentation from CT images for total knee arthroplasty.

BACKGROUND: Segmentation of lower limb bones is essential for accurate preoperative planning in total knee arthroplasty (TKA), yet fully annotated CT ...

Clinical investigation of a digital biomarker for joint swelling in inflammatory arthritis based on automated quantification of dorsal finger fold patterns.

This study aimed to clinically evaluate a digital biomarker, the Finger Fold Index (FFI), derived from the ratio of joint diameter to finger fold surf...

Interpretable Machine Learning Framework for Predicting Major Adverse Cardiovascular Events in Rheumatoid Arthritis Using Electronic Health Records: Multicenter Cohort Study.

BACKGROUND: Patients with rheumatoid arthritis (RA) face higher risks of major adverse cardiovascular events than the general population. While machin...

GNN-based deep surrogate modeling of knee contact mechanics: generalizing neuromuscular control patterns across subjects.

BACKGROUND: Accumulation of abnormal contact stress is a primary biomechanical driver of acute meniscal tears and chronic osteoarthritis. While Finite...

Three-dimensional artificial intelligence-based computed tomography analysis of lower limb muscle volume and fatty degeneration in varus and valgus knee osteoarthritis: a single-center retrospective study.

BACKGROUND: Despite the high prevalence of knee osteoarthritis, the anatomical factors that characterize distinct deformity patterns remain unclear. T...

Identification of potential key efferocytosis-related genes in rheumatoid arthritis using machine learning.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation and joint destruction. Efferocytosis is a...

Single-cell analysis revealed potential mechanisms of biomarkers related to polyamine metabolism in osteoarthritis.

Many studies have shown that polyamine metabolism is associated with the development of osteoarthritis (OA), but the exact mechanism is unclear. In th...

Structural damage assessment in the spine of patients with axial spondyloarthritis - results from an international OMERACT multi-reader exercise using MRI-based synthetic CT.

OBJECTIVE: To develop and perform preliminary cross-sectional validation of a magnetic resonance imaging (MRI)-based outcome measure for assessing spi...

Artificial-Intelligence-Assisted Radiographic Assessment of Temporomandibular Joint Osteoarthritis: External Validation, Device Robustness, and Clinical Translation.

Longitudinal serum uric acid transition patterns and their clinical, genetic, and dietary determinants: prospective prediction of incident hyperuricemia and gout in a Korean population-based cohort.

BACKGROUND: Longitudinal serum uric acid (SUA) transition patterns and their clinical, genetic, and dietary determinants remain poorly characterized. ...

Atopic dermatitis.

Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disability-adjusted life-years burden, ranking 15th among ...

Clinical indicators associated with pericardial effusion in rheumatoid arthritis: a machine learning-based analysis.

BACKGROUND: Pericardial effusion (PE) is a frequent yet underdiagnosed complication of rheumatoid arthritis (RA), with substantial mortality risk. Nev...

Predicting Knee osteoarthritis progression using explainable machine learning and clinical imaging data.

OBJECTIVE: To evaluate explainable AI models for predicting Knee osteoarthritis (KOA) progression using quantitative MRI and clinical data, for two ou...

Epigenetic reprogramming of tissue-resident memory T cells in chronic inflammatory disorders and implications for targeted therapies.

BACKGROUND: Tissue-resident memory T (TRM) cells play a role in causing long-term tissue injury in chronic inflammatory diseases via pathological epig...

Cost-Effectiveness of AI-Assisted Kellgren-Lawrence Grading of Knee Osteoarthritis in the South Korean Health-Care System.

BACKGROUND: Early diagnosis of knee osteoarthritis (KOA) is often delayed due to reliance on subjective interpretation of radiographs. Recent advances...