Serum uric acid is associated with incident metabolic syndrome independent of body shape index and body roundness index in healthy individuals

Systematic Engineering for Efficient Uric Acid-Degrading Activity in Probiotic Yeast Saccharomyces boulardii

Hyperuricemia, caused by uric acid disequilibrium, is a prevalent metabolic disease that most commonly manifests as gout and is closely associated with a spectrum of other comorbidities such as renal disorders and cardiovascular diseases. While natural and engineered probiotics that promote catabolism of uric acid in the intestine have shown promise in relieving hyperuricemia, limitations in strain efficiency and the requirements for achieving high performance remain major hurdles in the practical application of probiotic-mediated prevention and management. Here, we employed a systematic strategy to engineer a high-efficiency uric acid catabolism pathway in S. cerevisiae. An uricase from Vibrio vulnificus, exhibiting high-level activity in S. cerevisiae, was identified as the uric acid-degrading component. The expression level and stability of urate transporter UapA were improved by constructing a chimera, enabling reliable uric acid import in S. cerevisiae. Additionally, constitutive promoters were selected and combinatorially assembled with the two functional components, creating a collection of pathways that confer varied levels of uric acid catabolic activity to S. cerevisiae. The best-performing pathway can express uric acid-degrading activity up to 365.32 ± 20.54 μmol/h/OD, requiring only simple cultivation steps. Eventually, we took advantage of the genetic similarity between model organism S. cerevisiae and probiotic S. boulardii and integrated the optimized pathway into identified high-expression integration loci in the S. boulardii genome. The activity can be stably maintained under high-density fermentation conditions. Overall, this study provided a high-potential hyperuricemia-managing yeast probiotic strain, demonstrating the capabilities of developing recombinant probiotics.

Prevalence and Association of Components of Metabolic Syndrome and Uric Acid among Commercial Drivers in South-West Nigeria

INTRODUCTION

Metabolic syndrome (MetS) is a complex cluster of metabolic abnormalities characterized by central obesity, dyslipidemia, hypertension, and impaired glucose metabolism. Emerging evidence suggests a potential link between uric acid levels and MetS, and commercial drivers are exposed to unique occupational hazards that may predispose them to MetS and hyperuricemia.

OBJECTIVES

The objective of this study was to determine the prevalence of MetS and its relationship with serum uric acid among commercial drivers in Ado-Ekiti, Nigeria.

MATERIALS AND METHODS

A cross-sectional study was conducted among commercial drivers in Ado-Ekiti. Relevant information was obtained with a questionnaire, and anthropometry and blood pressure were measured. Fasting plasma glucose and lipid profiles were determined by the standard protocol. MetS was determined with the harmonized criteria. Bivariate correlation and Chi-square were used to determine the relationship between serum uric acid and MetS and its components.

RESULTS

There were 106 participants with a median age (interquartile range) of 50 (11) years, with no difference between those with or without MetS. More than 70% of the participants drank alcohol and 75 (70.8%) participants had hyperuricemia. There was no significant correlation between serum uric acid and components of MetS. The prevalence of MetS among all the participants was 21.7% (23/106), with no difference among men with normal uric acid (25.8%) and those with elevated uric acid (20.0%), P = 0.509. Similarly, there was no statistical difference in the prevalence of the components of MetS between the two groups.

CONCLUSIONS

The prevalence of MetS among the commercial drivers was high, with no difference among men with or without hyperuricemia. Given the importance of this group of people, a system-level public health approach should be adopted to promote a healthy lifestyle to save the lives of the populace.

Hyperuricemia and its related diseases: mechanisms and advances in therapy

Hyperuricemia, characterized by elevated levels of serum uric acid (SUA), is linked to a spectrum of commodities such as gout, cardiovascular diseases, renal disorders, metabolic syndrome, and diabetes, etc. Significantly impairing the quality of life for those affected, the prevalence of hyperuricemia is an upward trend globally, especially in most developed countries. UA possesses a multifaceted role, such as antioxidant, pro-oxidative, pro-inflammatory, nitric oxide modulating, anti-aging, and immune effects, which are significant in both physiological and pathological contexts. The equilibrium of circulating urate levels hinges on the interplay between production and excretion, a delicate balance orchestrated by urate transporter functions across various epithelial tissues and cell types. While existing research has identified hyperuricemia involvement in numerous biological processes and signaling pathways, the precise mechanisms connecting elevated UA levels to disease etiology remain to be fully elucidated. In addition, the influence of genetic susceptibilities and environmental determinants on hyperuricemia calls for a detailed and nuanced examination. This review compiles data from global epidemiological studies and clinical practices, exploring the physiological processes and the genetic foundations of urate transporters in depth. Furthermore, we uncover the complex mechanisms by which the UA induced inflammation influences metabolic processes in individuals with hyperuricemia and the association with its relative disease, offering a foundation for innovative therapeutic approaches and advanced pharmacological strategies.

Hyperuricemia is associated with metabolic syndrome: A cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES)

This study aimed to understand the prevalence of hyperuricemia and MetS in the United States and evaluate the potential effect of gender and ethnicity on hyperuricemia and MetS. Data was obtained from National Health and Nutrition Examination Survey (NHANES) between 2011 and 2018. Logistic regression analysis was utilized to investigate the association between hyperuricemia and MetS. A total of 7273 participants with an average age of 47.59 ± 16.92 years old were enrolled in our analysis. Of all the people, 1833 were diagnosed with MetS, with which 547 (29.8 %) were found with hyperuricemia. As for gender, 261 (28.3 %) females were with both Mets and hyperuricemia and this number came to 286 (31.4 %) for males.For population distribution, Non-Hispanic American white, and Hispanic American making up 61.2 % of the cohort. The logistic regression analysis showed that there was a significant association between MetS and hyperuricemia (OR = 2.608, 95 %CI: 2.281-2.982). And the relationship still existed between both males (OR = 2.172, 95 %CI: 1.829-2.579) and females (OR = 3.464, 95 %CI: 2.868-4.185); in addition, participant's ethnicity was also found to play an important role. And the association was found either in Hispanic Americans Non-Hispanic Americans White and black or from other races. In conclusion, our study found a significant association between hyperuricemia and MetS. The higher the uric acid level, the greater risk of people getting MetS and this risk was not influenced by people's gender and ethnicity.

Association of obesity, triglyceride-glucose and its derivatives index with risk of hyperuricemia among college students in Qingdao, China

OBJECTIVE

To analyze and compare the associations of hyperuricemia (HUA) with obesity, triglyceride-glucose (TyG), and its derivatives in college students. To provide early guidance on risk predictors of HUA in college students.

METHODS

This study was a cross-sectional survey including 23,411 participants (age: 17-20 years). Investigators conducted face-to-face interview surveys and physical examinations. Automated biochemical methods were used to detect biochemical indicators such as serum uric acid (UA). Calculation of obesity, TyG, and their derivatives indices were performed. Logistic regression was used to analyze the relationship between different indexes and hyperuricemia. OR value and 95% CI were also calculated. ROC curve was used for assessing the predictive ability of different indices of hyperuricemia.

RESULTS

After adjusting for age, SBP, DBP, ALT, AST, TC, BUN, and CREA, multivariate logistic regression showed that the OR value of LAP in the obesity index was higher, especially in women (male OR: 4.347, 95%CI: 3.807, 4.964; female OR: 4.672, 95%CI: 3.800, 5.744). The other three quartiles of TyG derivatives were highly associated with hyperuricemia in men and women compared with the top quartile (all P< 0.05). The risk of hyperuricemia increased with an increase in quartiles. For college students, all indicators could distinguish the presence of hyperuricemia. For men, the area under the curve (AUC) of TyG-WC was the largest (AUC: 0.694; 95%CI: 0.684-0.704; P<0.05), according to the Maximum Youden index 0.290 with cut point value 477.853. In women, TyG-BMI showed a maximum AUC value of 0.702 (95%CI: 0.685-0.719; P<0.05), according to the maximum Youden index of 0.317 with cut point value 132.446. The TyG-WC, TyG-WHtR, TyG-LAP, and LAP indices also had relatively high AUC.

CONCLUSION

In clinical practice, LAP, TYG, and their related derivatives may be used as sensitive indicators for HUA prediction in college students.

Triglyceride Glucose Index Is More Closely Related to Hyperuricemia Than Obesity Indices in the Medical Checkup Population in Xinjiang, China

BACKGROUND

Hyperuricemia (HUA) is a metabolic anomaly with an increased incidence rate, causing a global medical burden. Several studies have confirmed that obesity and insulin resistance (IR) are the risk factors for HUA. Reports on the predictive power of different obesity indices for HUA are limited. This study aimed to compare the association between different general, abdominal, and visceral obesity indices and markers of the IR-triglyceride glucose (TyG) index with serum uric acid (SUA) and to assess the ability of these indices to predict HUA.

METHODS

A total of 2243 participants were recruited from Barkol County Hospital and surrounding township hospitals in Xinjiang. Obesity indices, including the atherogenic index of plasma, cardiometabolic index, visceral adiposity index, lipid accumulation product index, a body shape index, body roundness index, waist circumference, waist-to-height ratio, body mass index, and TyG index, were divided into four quartiles. Moreover, partial correlations and logistic regression were used to analyze the association between these indices and SUA. The area under the curve (AUC) and receiver operating characteristic curves were used to analyze the predictive value of these indices for HUA.

RESULTS

After controlling for confounding variables, the association between the TyG index and HUA was stronger than that between the obesity indices in both males and females. The odds ratios (ORs) for HUA in the highest quartile of the TyG index were 2.098 (95% confidence interval, 1.555-2.831) in males and 7.788 (95% CI, 3.581-16.937) in females. For males, the AIP, CMI, VAI, LAP index, and TyG index were able to discriminate HUA, and the TyG index showed the highest AUC value of 0.586 (95% CI, 0.557-0.614; P < 0.001). For females, all indices, except BMI, can discriminate HUA. Moreover, the visceral obesity index CMI showed the highest AUC value of 0.737 (95% CI, 0.691-0.782; P < 0.001). Meanwhile, the TyG index had a relatively high AUC value of 0.728 (95% CI, 0.682-0.773; P < 0.001).

CONCLUSION

The TyG index was significantly related to HUA and was superior to obesity indices in identifying HUA in the medical checkup population in Xinjiang, China.