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Background: Uric acid has been proposed as a diabetogenic factor while its effect on pancreatic β cell function remains elusive. This study aimed to explore the impact of uric acid levels on β cell function and delineate its underlying molecular mechanisms.
Methods: Both in vivo hyperuricemia diet-induced mouse models and in vitro pancreatic β cell models were utilized.
Results: A progressive decrease in glucose-stimulated insulin secretion and increase in β cell apoptosis were observed in the hyperuricemia diet-induced mouse model, and these could be effectively restored by urate-lowering therapy. The dose- and time-dependent direct effects of uric acid on β cell apoptosis and insulin secretion were further confirmed in both INS-1E cells and primary isolated islets. Mechanistically, the primary role of expression of the endoplasmic reticulum stress marker C/EBP homologous protein (CHOP) was detected by RNA sequencing, and the inflammatory factor NLRP3 and pro-apoptotic genes were significantly upregulated by uric acid treatment.
Conclusions: Together, our findings indicate a direct crosstalk between uric acid and β cells via CHOP/NLRP3 pathway, providing a new understanding of the diabetogenic effect of uric acid.
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http://dx.doi.org/10.3390/diseases13070213 | DOI Listing |
Acta Cardiol
September 2025
Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, P.R. China.
Uric acid to HDL ratio (UHR) is a new measure of inflammation that has been widely used to study cardiovascular disease relationships. The aim of this study was to investigate the relationship between uric acid to HDL ratio and hypertension. We found that UHR was positively associated with hypertension prevalence in a nationally representative sample of U.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
September 2025
Associate Professor, School of Pharmacy, Desh Bhagat University, Mandi Gobindgarh-Punjab 147301, India.
Alcoholic fatty liver disease (AFLD) is a leading cause of chronic liver disease worldwide, contributing to significant morbidity and mortality. Despite its growing prevalence, no FDA-approved pharmacological treatments exist, leaving lifestyle modifications as the primary intervention. AFLD pathogenesis involves a complex interplay of lipid accumulation, oxidative stress, insulin resistance, and inflammation, highlighting the need for innovative therapeutic approaches.
View Article and Find Full Text PDFNeuropsychiatr Dis Treat
August 2025
Geriatric Medicine Department II, Qingdao Mental Health Center, Qingdao, Shandong, People's Republic of China.
Purpose: Previous studies have shown that serum uric acid (UA) levels are significantly higher in patients with bipolar disorder (BD) than in patients with depressive disorder (DD), schizophrenia, and healthy controls. Currently, studies generally report that there is a complex bidirectional interaction between mood disorders (MD) and hyperuricemia (HUA). We investigated the prevalence and related factors of hyperuricemia in Chinese patients with mood disorders to find out potential mechanisms and build a predictive model.
View Article and Find Full Text PDFFront Pharmacol
August 2025
The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, China.
Hyperuricemia (HUA) is a prevalent metabolic disorder driven by dysregulated purine metabolism and impaired urate excretion, and robust animal models are critical for elucidating its pathophysiology and guiding therapy development. This review systematically examines chemically induced, gene-edited, environmental, exercise and microbiota-based HUA models across rodents, poultry, primates, zebrafish and silkworms, highlighting each model's strengths and limitations in mimicking human uric acid handling. We discuss how these models have validated standard urate-lowering treatments-such as xanthine oxidase inhibitors and uricosurics-and uncovered emerging therapeutic targets, including the gut-NLRP3 inflammasome axis and SIRT1-mediated ABCG2 regulation.
View Article and Find Full Text PDFBiosaf Health
August 2025
Public Health Emergency Management Innovation Center, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Respiratory Health and Multimorbidity, Key Laboratory of Pathogen Infection Prevention and Control (Pek
Progression of acute respiratory infection (ARI) to pneumonia increases severity and healthcare burden. Limited evidence exists on using machine learning to identify predictors from demographics, clinical, and pathogen detection data. This study aimed to identify pneumonia predictors in ARI patients using machine learning methods.
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