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Background: Growing evidence has indicated an association between obesity, measured by body mass index (BMI), and urate levels, as well as the risk of gout. However, BMI inadequately reflects the body's fat distribution, including variations in gluteofemoral, abdominal subcutaneous, and visceral adipose tissue (GFAT, ASAT, and VAT). This study aimed to utilize Mendelian randomization (MR) to investigate the causal associations between genetically predicted fat distribution, urate levels, and the risk of gout.
Methods: We performed a comprehensive investigation of nine fat distribution traits, including raw and adjusted measures of GFAT, ASAT, VAT, and their corresponding ratios, as potential exposures. Using two-sample MR analysis, we investigated the causal associations between these fat distribution traits, urate levels, and gout risk. Additionally, we conducted multivariate MR analysis to assess whether the interaction between different fat depots influenced causal effects. Furthermore, we applied a two-step MR analysis to assess their mediating effects on gout risk through urate levels. We also conducted multiple sensitivity analyses to confirm the robustness and validity of our results.
Results: The MR analysis revealed a significant negative causal association between GFAT (both raw and adjusted) and urate levels as well as gout risk. Conversely, a significant positive causal association was observed between ASAT and urate levels. The mediation analysis revealed that 36% and 40% of the protective effect of raw and adjusted GFAT on the risk of gout was mediated by urate level, respectively. These findings remained consistent across multivariable analyses.
Conclusions: This study provides preliminary evidence supporting the association between fat distribution, urate levels, and gout risk, suggesting a potential lower risk of gout in individuals with a pear-shaped body.
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http://dx.doi.org/10.1038/s41366-025-01875-6 | DOI Listing |
Nutr Metab Cardiovasc Dis
July 2025
Department of Gastroenterology, The Affiliated People's Hospital of Ningbo University, Ningbo, 315040, PR China. Electronic address:
Background And Aims: Obesity-related non-alcoholic fatty liver disease (NAFLD) and serum high-sensitivity C-reactive protein (hs-CRP) are known to be associated to some extent. Nevertheless, this relationship remains unclear in non-obese individuals.
Methods And Results: A prospective cohort study was conducted using data from the health check ups of employees at Zhenhai Refining and Chemical Hospital in Ningbo City.
Arch Esp Urol
August 2025
Department of Urology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, 214000 Wuxi, Jiangsu, China.
Background: A plethora of studies have demonstrated that the level of uric acid (UA) and gout are the risk factors for erectile dysfunction (ED). However, the causal effect of UA level and gout on ED is still unclear. This Mendelian randomization (MR) study aims to examine the bidirectional causality between ED and UA levels as well as gout.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Serum uric acid (SUA) levels are linked to increased disease vulnerability and higher recurrence rates; however, the exact causal relationships are elusive. Despite the prevalent hyperuricemia in East Asian populations, comprehensive research on the intricate association between SUA levels and disease is lacking. To address this, a study utilizing a 2-sample Mendelian randomization (MR) approach was conducted in East Asian populations.
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 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.
View Article and Find Full Text PDF