Arthritis

DINCH Exposure Contributes to Osteoarthritis Pathogenesis via TSPO-Mediated Chondrotoxicity: Evidence from In Silico Prediction to Experimental Validation.

Diisononyl cyclohexane-1,2-dicarboxylate (DINCH), a widely used plasticizer substitute, has been widely detected in human populations and has emerged as a new environmental pollutant of growing concern. Despite the established association between exposure to traditional plasticizer and an increased risk of osteoarthritis (OA), it remains unclear whether DINCH, as a major substitute, contributes to...

AI-enabled lyophilization of advanced biologics: process intelligence, quality assessment, and formulation opportunities.

Lyophilization is a key stabilization strategy for advanced biologics, including protein therapeutics, nucleic-acid-based products, extracellular vesicles, and other highly labile biopharmaceutical systems. However, the development of lyophilized biologic products remains constrained by the intrinsic complexity of coupled heat and mass transfer, limited real-time process observability, formulation...

Performance of multimodal large language models versus clinicians for radiographic knee osteoarthritis grading: A multiobserver study.

OBJECTIVE: To compare the performance of clinicians and two generations of multimodal large language models (LLMs) in Kellgren-Lawrence (KL) grading o...

Integrative multi-omics analysis unravels the metabolic landscape and reveals serum biomarkers for early diagnosis of hyperuricemia.

BACKGROUND: Hyperuricemia (HUA) is a major risk factor for gout and multiple metabolic disorders. Although serum uric acid (UA) is the gold standard f...

Development of a risk prediction model for rheumatoid arthritis-associated interstitial lung disease based on interpretable machine learning.

OBJECTIVE: This study constructed a predictive model for interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA) and explored the v...

Predicting the risk of bone erosion in rheumatoid arthritis using a SHAP-based interpretable machine learning model.

OBJECTIVE: Bone erosion (BE) is a critical prognostic indicator in rheumatoid arthritis (RA). This study aimed to develop and validate an interpretabl...

[Sarcoidosis-associated uveitis: Current status and future prospects].

Sarcoidosis-related uveitis is the most common manifestation of ocular sarcoidosis. It can occur at any age but preferentially affects adults aged 30 ...

Hybrid circular-square complementary split-ring resonator sensor for monitoring abnormal blood protein levels for disease diagnosis.

The proposed work aims to develop a compact, low-cost, and commercially viable microwave sensor for early monitoring of high protein content in blood,...

Peptide Therapeutics in Orthopaedics: Current Evidence and Future Directions.

➢ Peptides lack a rigid tertiary structure, allowing them to adopt a variety of conformations, and can be engineered for specific targets. This articl...

Moderate-to-substantial agreement of ChatGPT-5 for Kellgren-Lawrence grading on synthetic knee radiographs: a controlled cross-sectional observer agreement study.

AI models are increasingly explored for radiographic assessment of knee osteoarthritis, but their reliability as an experimental model for KL grading ...

Targeting the FoxO-ferroptosis axis: mechanistic insights into Saikosaponin A-mediated protection against cartilage degeneration in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a common chronic inflammatory orthopedic disease, and ferroptosis (a novel OA-associated cell death mechanism) rema...

Bisphenol A drives the comorbidity of non-alcoholic fatty liver disease and osteoarthritis by targeting RHOB: Integrated multi-omics, single-cell analysis, and experimental validation.

BACKGROUND: This study focuses on exploring the co-morbid mechanisms by which Bisphenol A (BPA) induces non-alcoholic fatty liver disease (NAFLD) and ...

Deep learning-enhanced zero echo time MRI for femoral cortical bone quantification: A technical validation against CT.

This study compared quantitative measurements of femoral cortical bone between zero echo time magnetic resonance images (oZTEo) and computed tomograph...

Immune Repertoire Profiling Reveals Distinct Adaptive Immune Signatures of Dampness ZHENG Across Psoriasis, Rheumatoid Arthritis and Ulcerative Colitis.

Autoimmune diseases, including psoriasis (Ps), rheumatoid arthritis (RA) and ulcerative colitis (UC), pose significant health burdens worldwide. A mor...

An interpretable machine learning model integrating ultrasound and clinical variables for predicting osteoporosis in patients with rheumatoid arthritis.

OBJECTIVES: Rheumatoid arthritis (RA) significantly increases the risk of osteoporosis (OP) and fractures, yet dual-energy X-ray absorptiometry (DXA) ...

Differentiating septic arthritis from non-infectious inflammatory causes of acute monoarticular arthritis in children: A machine learning approach based on routine laboratory tests.

OBJECTIVE: Acute monoarthritis in children poses a diagnostic challenge, particularly in distinguishing septic arthritis from non-infectious inflammat...

Rethinking aging biomarkers in HIV: from measures to meaning.

PURPOSE OF REVIEW: People with HIV (PWH) on effective antiretroviral therapy continue to experience a disproportionate burden of age-related comorbidi...

Keypoint detection and functional evaluation of human lower limbs based on YOLOv8 and HRNet.

With the development of artificial intelligence and deep learning technology, human pose estimation has been widely applied in fields such as medical ...

Diagnostic performance of deep-learning algorithms in radiographic grading of knee osteoarthritis: a systematic review and meta-analysis.

BackgroundDeep learning (DL) has been increasingly applied to grade knee osteoarthritis (KOA) on radiographs, but reported diagnostic performance vari...

Two-stage deep learning for circular landmark detection in hip radiographs.

This study develops a high-resolution anatomical landmark detection method for hip anteroposterior radiographs, designed to enhance the accuracy of fe...