AIMC Topic: Hyperuricemia

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Using deep learning and molecular dynamics simulations to unravel the regulation mechanism of peptides as noncompetitive inhibitor of xanthine oxidase.

Scientific reports
Xanthine oxidase (XO) is a crucial enzyme in the development of hyperuricemia and gout. This study focuses on LWM and ALPM, two food-derived inhibitors of XO. We used molecular docking to obtain three systems and then conducted 200 ns molecular dynam...

Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study.

Frontiers in endocrinology
BACKGROUND AND OBJECTIVE: Clinical characteristics of obesity are heterogenous, but current classification for diagnosis is simply based on BMI or metabolic healthiness. The purpose of this study was to use machine learning to explore a more precise ...

Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study.

Computational and mathematical methods in medicine
Accurate risk assessment of high-risk patients is essential in clinical practice. However, there is no practical method to predict or monitor the prognosis of patients with ST-segment elevation myocardial infarction (STEMI) complicated by hyperuricem...

Low serum uric acid concentration augments insulin effects on the prevalence of metabolic syndrome.

Diabetes & metabolic syndrome
AIM: Insulin and uric acid were shown affect the prevalence of Metabolic Syndrome (MetS), but no studies examine their interaction. Therefore, we conducted this study to determine their biological interaction in subjects from central Mexico.

How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach.

Journal of biomedical informatics
OBJECT: Our purpose was to develop a new machine-learning approach (a virtual health check-up) toward identification of those at high risk of hyperuricemia. Applying the system to general health check-ups is expected to reduce medical costs compared ...

Development and validation of an interpretable machine learning model for predicting hyperuricemia risk: Based on environmental chemical exposure.

Ecotoxicology and environmental safety
Hyperuricemia is a global health concern, with environmental chemicals as risk factors. This study used data of multiple environmental chemical exposures from the 2011-2012 cycle of the National Health and Nutrition Examination Survey (NHANES) to dev...

[Association between gut microbiota and hyperuricemia: insights into innovative therapeutic strategies].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Uric acid (UA) is the final metabolite of purines in the human body. An imbalance in UA production and excretion that disrupts homeostasis leads to elevated blood UA levels and the development of hyperuricemia (HUA). Approximately one-third of UA is ...

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
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...

A machine learning-based prediction model for gout in hyperuricemics: a nationwide cohort study.

Rheumatology (Oxford, England)
OBJECTIVE: To develop a machine learning-based prediction model for identifying hyperuricemic participants at risk of developing gout.

Benefits of Allopurinol Treatment on Blood Pressure and Renal Function in Patients with Early Stage of Chronic Kidney Disease.

Journal of the Medical Association of Thailand = Chotmaihet thangphaet
BACKGROUND: Hyperuricemia has been associated with increased risk of endothelial dysfunction, cardiovascular, and renal disease. Allopurinol is a potent xanthine oxidase inhibitor used in hyperuricemic patients. It has been shown to decrease cardiova...