Background: Elevated serum uric acid is associated with several cardiovascular disease (CVD) risk factors such as hypertension, inflammation, endothelial dysfunction, insulin resistance, dyslipidemia, and obesity. However, the role of uric acid as an independent risk factor for CVD is not yet clear.
Objective: The aim of the study was to localize quantitative trait loci regulating variation in serum uric acid and also establish the relationship between serum uric acid and other CVD risk factors in Mexican Americans (n = 848; men = 310, women = 538) participating in the San Antonio Family Heart Study.
Methods: Quantitative genetic analysis was conducted using variance components decomposition method, implemented in the software program SOLAR.
Results: Mean +/- SD of serum uric acid was 5.35 +/- 1.38 mg/dl. Univariate genetic analysis showed serum uric acid and other CVD risk markers to be significantly heritable (P < 0.005). Bivariate analysis showed significant correlation of serum uric acid with body mass index, waist circumference, waist/hip ratio, total body fat, plasma insulin, serum triglycerides, high-density lipoprotein cholesterol, C-reactive protein, and granulocyte macrophage-colony stimulating factor (P < 0.05). A genome-wide scan for detecting quantitative trait loci regulating serum uric acid variation showed a significant logarithm of odds (LOD) score of 4.72 (empirical LOD score = 4.62; P < 0.00001) on chromosome 3p26. One LOD support interval contains 25 genes, of which an interesting candidate gene is chemokine receptor 2.
Summary: There is a significant genetic component in the variation in serum uric acid and evidence of pleiotropy between serum uric acid and other cardiovascular risk factors.
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http://dx.doi.org/10.1210/jc.2008-0682 | DOI Listing |
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFFront Oncol
December 2024
The First Clinical Medical School, Lanzhou University, Lanzhou, China.
Objective: We conducted this study to investigate the relationship between serum uric acid (SUA) levels and the risk of upper gastrointestinal cancer.
Methods: We conducted a prospective cohort study with 475659 cancer-free participants from the UK Biobank. All subjects were grouped into quartiles, and we used a Cox proportional hazards model to analyze the association between SUA levels and the risk of upper gastrointestinal cancer and explore the potential sex-specific relationship.
Arch Esp Urol
December 2024
Department of Laboratory Medicine, Wenzhou People's Hospital; The Third Affiliated Hospital of Shanghai University; The Wenzhou Third Clinical College of Wenzhou Medical University, 325000 Wenzhou, Zhejiang, China.
Background: Kidney stone disease poses a significant challenge in the geriatric population. Preoperative renal function has been speculated to influence the composition of renal calculi, and consequently, the management approach. We studied the correlation between preoperative renal function and the composition of renal calculi in elderly patients, which could have implications for optimizing therapeutic strategies.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Cardiovascular Medicine, Jiangsu Provincial People's Hospital Group Taihu Sanatorium of Jiangsu Province, Wuxi, 214086, China.
Novel anthropometric indices are more closely related to metabolic abnormalities than traditional anthropometric indices. Fewer studies have been conducted based on the relationship between novel anthropometric indicators and hyperuricemia. This study was to analyze the serum uric acid (SUA) levels of adults and the relationship between hyperuricemia and these new indicators in Su-Wuxi-Chang area of China, in order to provide a theoretical basis for the management of SUA levels in patients with hyperuricemia.
View Article and Find Full Text PDFBioresour Technol
January 2025
Jiangsu Provincial Key Lab of Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Nanjing Agricultural University, Nanjing 210095, Jiangsu, PR China. Electronic address:
Composting organic waste is a sustainable recycling method in agricultural systems, yet the microbial preferences for different substrates and their influence on composting efficiency remain underexplored. Here, 210 datasets of published 16S ribosomal DNA amplicon sequences from straw and manure composts worldwide were analyzed, and a database of 278 bacterial isolates was compiled. Substrate-driven microbiome variations were most prominent during the initial composting stages.
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