Gut microecology: effective targets for natural products to modulate uric acid metabolism

Wang, Hui; Zheng, Yixuan; Yang, Mengfan; Wang, Lu; Xu, Yao; You, Siqi; Mao, Nan; Fan, Junming; Ren, Sichong

doi:10.3389/fphar.2024.1446776

Cited by 3 publications

References 116 publications

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Association Between the TG/HDL-c Ratio and Hyperuricemia in Women participants in China: A Cross-sectional Study

Zhang,

Liang,

You

et al. 2024

Preprint

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Objectives: The study aimed to assess the clinical value of the triglyceride/high-density lipoprotein cholesterol(TG/HDL-c) ratio as a diagnostic marker for hyperuricemia (HUA) in female population in China. Methods: A total of 21,316 eligible female participants, aged 18 years and older, were consecutively recruited during routine medical examinations at Northern Jiangsu People’s Hospital from July 2014 to August 2023. Participants were divided into four groups based on their TG/HDL-c ratio values. Logistic regression analysis models were employed to further investigate the correlation between the prevalence of HUA and TG/HDL-c ratio in this region.Restricted cubic splines (RCS) were used to explore the linear associations of TG/HDL-c and HUA. Results: The average age of participants was 42.68±13.96 years and the overall prevalence of HUA is 6.41%. The mean uric acid level was 265.34±59.72umol/L. The univariate logistic analysis showed that a higher TG/HDL-c ratio was positively correlated with the presence of hyperuricemia (OR (95%CI) =3.601(3.281,3.951), P < 0.001). In different age groups of female participants, we found a statistically significant association between higher levels of TG/HDL-c and HUA(P<0.05). In female participants, there was a nonlinear association between TG/HDL-c and HUA (P < 0.001).After adjusting for multiple covariates, this study found a significant interaction between TG/HDL-c and BMI, as well as creatinine, with a statistically significant difference (P < 0.05).The AUC for TG/HDL-c in predicting the occurrence of HUA among female participants was 0.717(95%Cl:0.703-0.731). Conclusions: An elevated TG/HDL-C ratio increases the risk of HUA in females in eastern China, particularly in individuals with low creatinine levels and normal body weight. Monitoring TG/HDL-c levels may be beneficial for preventing HUA in women.

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Association Between the TG/HDL-c Ratio and Hyperuricemia in Women participants in China: A Cross-sectional Study

Zhang,

Liang,

You

et al. 2024

Preprint

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A preliminary probabilistic nomogram model for predicting hyperuricemia in male participants

Zhang,

Liang,

Zhu

2024

Preprint

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Objectives Hyperuricaemia (HUA) is a major contributing factor to the development of gout and is linked to an increased risk of cardiometabolic disease, particularly in men. Despite this, there is a lack of simple tools for predicting HUA in male patients. This study aims to develop and validate a nomogram model to estimate the risk of HUA in male subjects. Methods A total of 21,953 eligible male participants, aged 18 years and older, were consecutively recruited during routine medical examinations at Northern Jiangsu People’s Hospital from July 2014 to August 2023. To identify factors related to HUA in male subjects, the least absolute shrinkage and selection operator (LASSO) regression and logistic regression methods were used. A nomogram was subsequently constructed to predict the likelihood of HUA in men.The performance of the proposed nomogram was evaluated based on a calibration plot, ROC curve and Harrell’s concordance index (C-index). Results Patients with hyperuricemia exhibited significantly elevated levels of BMI, red blood cell count, hemoglobin, hematocrit, blood glucose, serum urea, creatinine, total cholesterol, LDL-c, and triglyceride levels compared to those without hyperuricemia (P < 0.001). Conversely, the age and HDL-c levels of patients with hyperuricemia were notably lower than those without hyperuricemia (P < 0.001). Predictors used in the prediction nomogram included LDL-c, TG, HDL-c and serum Creatinine and RBC. Then, a nomogram model for predicting HUA was established based on the above indicators. Our model achieved well-fitted calibration curves and the C-indices of this model were 0.700 (95% CI: 0.692–0.708) and 0.705 (95% CI: 0.691–0.720) in the development and validation groups, respectively. Conclusions With excellent predictive abilities, the nomogram serves as a straightforward and dependable tool for estimating the risk of HUA among male participants.

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Roles of traditional Chinese medicine extracts in hyperuricemia and gout treatment: Mechanisms and clinical applications

Wang,

Jin

2024

World J Gastroenterol

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In this manuscript, we comment on the article by Liu et al published in the recent issue of the journal. Hyperuricemia (HUA) has become the second most common metabolic disease after type 2 diabetes mellitus and is the most important risk factor for gout. This discussion focuses on the targets and clinical application value of traditional Chinese medicine (TCM) extracts in the treatment of HUA and gout, emphasizing the role of gut microbiota. Liu et al ’s study demonstrated that Poecilobdella manillensis protein extract alleviated HUA through multiple mechanisms, including inhibition of uric acid (UA) reabsorption, promotion of UA excretion, repair of intestinal barrier function, and regulation of gut microbiota and metabolome. Unlike the commonly used urate-lowering drugs such as allopurinol and febuxostat, which have clear and single targets, many TCMs have multi-target effects. However, the active components and mechanisms of TCMs are not fully understood, limiting their clinical application in the treatment of HUA and gout. Additionally, the role of gut microbiota in UA metabolic homeostasis needs to be further explored.

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Gut microecology: effective targets for natural products to modulate uric acid metabolism

Cited by 3 publications

References 116 publications

Association Between the TG/HDL-c Ratio and Hyperuricemia in Women participants in China: A Cross-sectional Study

Association Between the TG/HDL-c Ratio and Hyperuricemia in Women participants in China: A Cross-sectional Study

A preliminary probabilistic nomogram model for predicting hyperuricemia in male participants

Roles of traditional Chinese medicine extracts in hyperuricemia and gout treatment: Mechanisms and clinical applications

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