AI Medical Compendium Journal:
International journal of rheumatic diseases

Showing 1 to 4 of 4 articles

RNA-seq analysis reveals different gene ontologies and pathways in rheumatoid arthritis and Kashin-Beck disease.

International journal of rheumatic diseases Sep 5, 2018
AIMS: To understand the pathogenesis of cartilage damage in Kashin-Beck disease (KBD) and rheumatoid arthritis (RA) which similar clinical symptoms.
Signal Transduction Male Databases, Genetic Middle Aged Inflammation Mediators Genetic Predisposition to Disease Gene Regulatory Networks Sequence Analysis, RNA Cartilage Arthritis, Rheumatoid Female Gene Ontology Humans Aged Phenotype Proteoglycans RNA Kashin-Beck Disease
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Oxidative Phosphorylation Pathway in Ankylosing Spondylitis: Multi-Omics Analysis and Machine Learning.

International journal of rheumatic diseases May 1, 2025
INTRODUCTION: Ankylosing spondylitis (AS) is a chronic inflammatory disease affecting the axial skeleton, characterized by immune microenvironment dysregulation and elevated cytokines like TNF-α and IL-17. Mitochondrial oxidative phosphorylation (OXP...
Male Middle Aged RNA-Seq Gene Expression Profiling Transcriptome Gene Regulatory Networks Leukocytes, Mononuclear Mitochondria Case-Control Studies Female Humans Oxidative Phosphorylation Single-Cell Analysis Adult Machine Learning Spondylitis, Ankylosing Multiomics Signal Transduction
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Exploring the Impact of PA and Sedentary Behavior on Gout Risk in Hyperuricemia: Insights From Machine Learning and SHAP Analysis.

International journal of rheumatic diseases Apr 1, 2025
BACKGROUND: Individuals with hyperuricemia (HUA) are widely recognized as being at increased risk for gout. This study aimed to investigate how physical activity (PA) duration and sedentary duration impact gout risk in individuals with HUA and to dev...
Humans Machine Learning Time Factors Nutrition Surveys Risk Assessment Exercise Aged Uric Acid Adult Female Male Sedentary Behavior Risk Factors United States Gout Middle Aged Hyperuricemia Biomarkers Retrospective Studies
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The TabNet Model for Diagnosing Axial Spondyloarthritis Using MRI Imaging Findings and Clinical Risk Factors.

International journal of rheumatic diseases Dec 1, 2024
OBJECTIVES: The aim of this study is to develop and validate a model for predicting axial spondyloarthritis (axSpA) based on sacroiliac joint (SIJ)-MRI imaging findings and clinical risk factors.
Image Interpretation, Computer-Assisted Decision Support Techniques Sacroiliac Joint Female Neural Networks, Computer Axial Spondyloarthritis Humans Risk Factors Machine Learning Magnetic Resonance Imaging Adult Reproducibility of Results Predictive Value of Tests Male Middle Aged
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