Prevalence of asymptomatic hyperuricemia and its association with prediabetes, dyslipidemia and subclinical inflammation markers among young healthy adults in Qatar

The role of resistin and adiponectin ratios with uric acid in assessing metabolic syndrome in type 2 diabetes

Metabolic syndrome (MetS) is a growing global healthcare burden. Patients with type 2 diabetes mellitus (T2DM) are more likely to acquire MetS than the general population. Recent research suggests that the interaction of adipose tissue products, such as adiponectin resistin and uric acid, is essential in MetS onset. To examine the role of resistin and adiponectin ratios with uric acid in predicting MetS onset T2DM patients. In a two-year prospective study, 72 T2DM patients were categorised into MetS and non-MetS, according to MetS development. The levels of resistin, adiponectin, uric acid (UA), fasting glucose, high-density lipoprotein cholesterol, and triglycerides were analysed from serum samples. ROC curves and their corresponding areas under the curve (AUC) were utilised to establish the best cut-off values of biomarkers for distinguishing MetS patients and non-MetS patients. The logistic regression analysis was performed to predict the onset of MetS in patients with T2DM. T2DM patients with and without MetS showed significant differences in resistin/UA (p = 0.017), adiponectin/UA (p < 0.001) and adiponectin levels. The Resistin/UA ROC Curve yielded an AUC of 0.825 (p < 0.001), 86.7% sensitivity and 76.2% specificity at a cut-off point of 0.99. Multivariable logistic regression analysis identified resistin /UA ratio [OR 8.631 95% CI 0.450-165.42; p = 0.001] and adiponectin/UA ratio [OR 0.022 95% CI 0.003-0.188; p < 0.001] as independent predictors of MetS. This study confirms the role of resistin-uric acid and adiponectin-uric acid ratios as predictors of MetS development in T2DM patients.

Association between obstructive sleep apnea and hyperuricemia/gout in the general population: a cross-sectional study

BACKGROUND

Obstructive sleep apnea (OSA) is linked to various health conditions, including cardiovascular diseases and metabolic disorders. Hyperuricemia and gout may be associated with OSA, but large-scale studies on this are limited. This study aimed to investigate the association between hyperuricemia/gout and OSA using data from the Korea National Health and Nutrition Survey (KNHANES).

METHODS

Using the 2019-2021 KNHANES data, 11,728 participants were selected. OSA risk was assessed using the STOP-BANG questionnaire score, which is as follows: (1) high-risk (5-8), (2) intermediate-risk (3-4), and (3) low-risk (0-2). Anthropometric, socioeconomic, health-related variables, and biochemical measurements, including serum uric acid (SUA) levels, were included in the analysis. Multiple regression analyses examined the association between the STOP-BANG score and hyperuricemia/gout.

RESULTS

After assigning weights, among 25,354,276 individuals, 3,114,119 (12.2%) had a high OSA risk. The high OSA risk group exhibited higher SUA levels (5.9 mg/dL) than those of the intermediate (5.6 mg/dL) and low OSA risk groups (4.7 mg/dL) (P < 0.001). Additionally, it had a higher incidence of physician-diagnosed gout than the other groups (6.6% vs. 3.8% vs. 0.8%, respectively, P < 0.001). The STOP-BANG questionnaire scores and SUA levels were positively correlated (r = 0.383; P < 0.001). When adjusted for confounding factors, the high OSA risk group demonstrated an association with hyperuricemia (SUA ≥ 6.8 mg/d) (adjusted Odds Ratio [OR]: 1.462, 95% Confidence interval [CI]: 1.108-1.929). High and intermediate OSA risk was associated with severe hyperuricemia (SUA ≥ 9.0 mg/dL) and gout; however, the significant association between OSA and severe hyperuricemia and gout attenuated to null after adjusting for confounding factors.

CONCLUSIONS

High OSA risk was independently associated with hyperuricemia but not severe hyperuricemia or gout. Screening and management of OSA may help prevent hyperuricemia.

Triglycerides and HDL Cholesterol Mediate the Association Between Waist Circumference and Hyperuricemia in Normal-Weight Men

Purpose

Hyperuricemia has traditionally been associated with obesity and dyslipidemia. However, the relationship between waist circumference (WC) and hyperuricemia in normal-weight men is still unclear, particularly regarding the roles of triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C). The aim of this research was to explore the mediating roles of TG and HDL-C in the association between WC and hyperuricemia in normal-weight men.

Methods

A retrospective observational study was conducted among normal-weight men (18.5 ≤ BMI < 24 kg/m2) aged ≥ 18 years who underwent health checkups in Nanjing from 2021-2023. Relationships between WC, blood lipids, and hyperuricemia were investigated by multivariable regression models and mediation analysis.

Results

We enrolled 35,984 participants, with an overall hyperuricemia prevalence of 24.2%. The research found a significant positive association between WC and hyperuricemia in normal-weight men (P < 0.001). For hyperuricemia across rising WC quartiles, with WC divided as follows: Q1 (59 ≤ WC < 77 cm), Q2 (77 ≤ WC < 81 cm), Q3 (81 ≤ WC < 85 cm), and Q4 (85 ≤ WC ≤ 107 cm), the multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were 1.00 (reference), 1.09 (1.01, 1.18), 1.26 (1.15, 1.37), and 1.34 (1.22, 1.46), respectively (all P < 0.001). The mediation analysis indicated that WC had a significant total effect on hyperuricemia (Coefficient = 0.0046, 95% CI: 0.0028, 0.0070, P < 0.001), with significant indirect effects mediated through TG and HDL-C, contributing mediation proportions of 22.3% and 18.3%, respectively (both P < 0.05).

Conclusion

Elevated WC is associated with an increased likelihood of hyperuricemia in normal-weight men. TG and HDL-C play substantial mediating roles in this association. These findings suggest that monitoring WC and lipid profiles in normal-weight men could help identify those at higher risk of hyperuricemia, even in the absence of general obesity.

Hyperuricemia and elevated uric acid/creatinine ratio are associated with stages III/IV periodontitis: a population-based cross-sectional study (NHANES 2009-2014)

OBJECTIVES

To explore the association between hyperuricemia and having periodontitis.

MATERIALS AND METHODS

A representative cross-sectional dataset of 10,158 adults was extracted from the National Health and Nutrition Examination Survey (NHANES) 2009-2014. The association between hyperuricemia (the primary exposure) and having periodontitis (outcome) were evaluated using weighted logistic regression models. Serum uric acid (UA) levels and the UA to creatinine (UA/Cr) ratio were used as secondary exposures. Their associations with the diagnosis periodontitis were analyzed using weighted logistic regression or restricted cubic spline regression.

RESULTS

The prevalence of Stages III/IV periodontitis was 47.7% among individuals with hyperuricemia and 37.4% among those without. After adjustment, individuals with hyperuricemia had 0.281 times higher odds of developing Stages III/IV periodontitis compared to those without hyperuricemia (adjusted OR = 1.286, 95% CI = 1.040 to 1.591, P = 0.024). The increased odds could be explained by a linear relationship with the serum UA/Cr ratio and a U-shaped relationship with serum UA levels. Each unit increase in the serum UA/Cr ratio was associated with 0.048 times higher odds of developing Stages III/IV periodontitis (adjusted OR = 1.048, 95% CI = 1.008 to 1.088, P = 0.021). Additionally, each 1 mg/dL increase in serum UA was associated with 0.156 times higher odds (adjusted OR = 1.156, 95% CI = 1.009 to 1.323, P = 0.038) of developing Stages III/IV periodontitis when UA levels were greater than 5.9 mg/dL, but 0.118 times lower odds when UA levels were 5.9 mg/dL or lower (adjusted OR = 0.882, 95% CI = 0.790 to 0.984, P = 0.027). Sensitivity analyses validated the robustness of the findings.

CONCLUSIONS

This study provides the first direct evidence that hyperuricemia is associated with Stages III/IV periodontitis.

CLINICAL RELEVANCE

Hyperuricemia may represent a new potential comorbidity of periodontitis, possibly contributing directly or indirectly to the disease burden in patients with periodontitis.

CLINICAL TRIAL NUMBER

Not applicable.

Primary and residual cardiometabolic risk factors among young adults in a Russian city

BACKGROUND

Cardiovascular diseases are a leading cause of mortality and a significant contributor to temporary and permanent disabilities worldwide. This study aimed to investigate the burden of primary and residual cardiometabolic risk factors in a sample of young adults in the Russian city of Kazan.

METHODS

This case-control study used the Cardiometabolic Disease Staging (CMDS) classification system, which has been validated in several countries. The study included 191 individuals aged 25-44 years who met the inclusion criteria but did not meet any exclusion criteria. Data collection involved a patient card with questions from the World Health Organization's STEPS instrument, face-to-face patient interviews, and a physical examination. Anthropometric assessments included height, weight, and waist circumference measurements. Body composition was evaluated using bioelectrical impedance measurements. Patients also underwent in-depth laboratory biochemical analyses.

RESULTS

The study cohort was comprised of 97 females (50.8%) and 94 males (49.2%). The median age of participants was 35.00 years [IQR: 30.00-39.00]. The study cohort showed an increase in all anthropometric parameters, with abdominal obesity and overweight reaching 100% in the CMDS 3. Apart from atherogenic lipids and raised blood pressure, other risk factors that precipitate residual risk and were not part of CMDS, such as insulin levels, insulin resistance, leptin values, and hyperuricemia, increased as CMDS levels increased.

CONCLUSIONS

The prevalence of cardiometabolic risk factors was high in young adults in Kazan. This study highlights the need for the early identification and management of cardiometabolic risk factors in young adults to prevent the development of cardiovascular diseases later in life.

Remnant cholesterol elevates hyperuricemia risk in the middle aged and elderly Chinese: a longitudinal study

Evidence regarding the relationship between remnant cholesterol (RC) and hyperuricemia is limited. The purpose of this study is to investigate the association between RC and hyperuricemia in the middle aged and elderly Chinese. Information was extracted from the China Health and Retirement Longitudinal Study (CHARLS) survey 2011 and survey 2015. Four logistic regression models were established. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were applied to balance the baseline. Next, sensitivity analyses and restricted cubic spline (RCS) analysis were conducted to further explore the association. Cross-lagged panel model (CLPM) and mediation analysis were used to deduce the causal relationship between RC and hyperuricemia. This study contained 6,447 participants. A positive association between high RC and hyperuricemia was found in the full adjusted model (OR:1.80, P < 0.001). Similar results were also seen after PSM (OR:1.86, P < 0.001), IPTW (OR:1.80, P < 0.001) and sensitive analysis in non-overweight subgroups (OR:1.77, P < 0.001). Though non-linear relationship was not observed, CLPM exhibited that high level of RC can directly cause increase of blood uric acid (standardized β = 0.005, P < 0.001). Moreover, mediation analysis suggested that the positive association can be mediated by hypertension (β = 0.024; p = 0.004), CRP (β = 0.050; p < 0.001) and WBC (β = 0.024; p = 0.010). High level of RC is an independent risk factor for hyperuricemia, which can be mediated by inflammation and hypertension.

Insulin Resistance Surrogates May Predict HTN-HUA in Young, Non-Obese Individuals

Objective

To compare the associations of three surrogate markers of insulin resistance (IR) [glucose and triglycerides (TyG index), TyG index with BMI (TyG-BMI), and the ratio of triglycerides divided by HDL-C (TG/HDL-C)] with hypertensive patients (HTN) plus hyperuricemia (HUA) (HTN-HUA) in young, non-obese individuals.

Methods

Data from a cross-sectional epidemiological study of an annual health check-up population aged younger than 66 years were used to calculate the three IR surrogate indexes. The association with HTN-HUA and insulin resistance surrogates was examined with multinomial logistic regression and a receiver operating characteristic (ROC) curve.

Results

A total of 6952 participants were included, including 671 (9.65%) participants with HTN alone, 272 (3.91%) participants with HUA alone, and 62 (0.90%) participants with HTN and HUA. Binary multiple-logistic regression results showed that TG/HDL-C was significantly correlated with HTN, HUA, and HTN-HUA. Compared with the lowest quartile, the odds ratios (95% CI) of the highest quartile of TG/HDL-C for HTN-HUA were 3.462 (1.138~10.530). TG/HDL-C and TyG-BMI had moderate discriminative abilities for HTN-HUA, and the area under the curve was 0.748 (0.682~0.815), 0.746 (0.694~0.798).

Conclusion

Our study suggests that TG/HDL-C had a significant correlation with HTN-HUA and that TG/HDL-C had moderate discriminative abilities for HTN-HUA.

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.

The interplay between vitamin D status, subclinical inflammation, and prediabetes

Vitamin D's role extends beyond classical calcium and phosphate homeostasis to encompass a pivotal influence on immune modulation and metabolic health. The mechanisms by which vitamin D exerts these effects involve its conversion to hormonally active calcitriol, which binds intracellular vitamin D receptors, initiating various downstream cascades. In this review, we tease out the evidence showing the relationship between vitamin D deficiency and prediabetes within the context of subclinical inflammation, with a special focus on the novel monocyte-to-HDL ratio (MHR), a novel inflammatory marker reflecting subclinical inflammation. This was based on a thorough literature review using reputable databases covering the period from 1980 to 2024. In light of this, we discuss calcitriol's anti-inflammatory effects and consequently link vitamin D deficiency to both overt and subclinical inflammation. Additionally, the utility of several biomarkers, notably MHR, in investigating this association is also discussed. We further reviewed the role of vitamin D deficiency in precipitating prediabetes and type 2 diabetes mellitus (T2DM) via insulin resistance, decreased insulin synthesis and secretion, and subclinical inflammation. Taken together, this mini review highlights that vitamin D deficiency is significantly associated with subclinical inflammation, playing a critical role in the development of prediabetes and the progression to T2DM. Addressing vitamin D deficiency through appropriate interventions may serve as a preventative measure against the development of prediabetes and T2DM.

Plantaginis Semen Ameliorates Hyperuricemia Induced by Potassium Oxonate

Plantaginis semen is the dried ripe seed of Plantago asiatica L. or Plantago depressa Willd., which has a long history in alleviating hyperuricemia (HUA) and chronic kidney diseases. While the major chemical ingredients and mechanism remained to be illustrated. Therefore, this work aimed to elucidate the chemicals and working mechanisms of PS for HUA. UPLC-QE-Orbitrap-MS was applied to identify the main components of PS in vitro and in vivo. RNA sequencing (RNA-seq) was conducted to explore the gene expression profile, and the genes involved were further confirmed by real-time quantitative PCR (RT-qPCR). A total of 39 components were identified from PS, and 13 of them were detected in the rat serum after treating the rat with PS. The kidney tissue injury and serum uric acid (UA), xanthine oxidase (XOD), and cytokine levels were reversed by PS. Meanwhile, renal urate anion transporter 1 (Urat1) and glucose transporter 9 (Glut9) levels were reversed with PS treatment. RNA-seq analysis showed that the PPAR signaling pathway; glycine, serine, and threonine metabolism signaling pathway; and fatty acid metabolism signaling pathway were significantly modified by PS treatment. Further, the gene expression of Slc7a8, Pck1, Mgll, and Bhmt were significantly elevated, and Fkbp5 was downregulated, consistent with RNA-seq results. The PPAR signaling pathway involved Pparα, Pparγ, Lpl, Plin5, Atgl, and Hsl were elevated by PS treatment. URAT1 and PPARα proteins levels were confirmed by Western blotting. In conclusion, this study elucidates the chemical profile and working mechanisms of PS for prevention and therapy of HUA and provides a promising traditional Chinese medicine agency for HUA prophylaxis.

The relationship between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and hyperuricaemia

PURPOSE

The ratio of non-high-density lipoprotein cholesterol (non-HDL-c) to high-density lipoprotein cholesterol (HDL-c) (NHHR) is a novel comprehensive lipid index. The aim of this study was to investigate the relationship between the NHHR and the prevalence of hyperuricaemia (HUA) in the adult population of the U.S.

METHODS

This cross-sectional study collected data from the National Health and Nutrition Examination Survey (NHANES) (2007-2018). HUA was defined as a serum uric acid (SUA) concentration ≥ 7 mg/dL in men and ≥ 6 mg/dL in women. Multivariate logistic regression models and the restricted cubic spline (RCS) method were applied to examine the relationship between the NHHR and the risk of developing HUA. Subgroup analyses and interaction tests were also performed.

RESULTS

The prevalence of HUA increased with increasing NHHR values (9.01% vs. 13.38% vs. 17.31% vs. 25.79%, P < 0.001). The NHHR was independently correlated with the risk of developing HUA (OR = 1.10, 95% CI: 1.05-1.16; P < 0.001). Furthermore, the risk of developing HUA was significantly greater among individuals with the highest NHHR quartile than among those with the lowest NHHR quartile (OR = 1.94, 95% CI: 1.62-2.33; P < 0.001). This relationship was consistent across subgroups. According to the RCS analysis, an inverted U-shaped relationship existed between the NHHR and the risk of developing HUA.

CONCLUSIONS

The NHHR was closely associated with an increased risk of developing HUA. Further studies on the NHHR could be beneficial for preventing and treating HUA.

Association between low-density lipoprotein cholesterol levels and serum uric acid to serum creatinine ratio in Chinese male gout patients

This study aimed to evaluate the association between low-density lipoprotein cholesterol (LDL-C) and serum uric acid to serum creatinine (SUA/SCr) ratio in male gout patients at different BMIs. This real-world study included 956 male gout patients aged 18-83 years. We retrospectively analyzed the medical records of Chinese male gout patients from 2017 to 2019. The correlation between LDL-C and SUA/SCr was tested after adjusting for confounding factors. We found a nonlinear relationship between LDL-C and SUA/SCr in the whole study population. Stratification analysis showed that there was actually a nonlinear relationship between LDL-C and SUA/SCr in men with a BMI of 24-28, the inflection point of LDL-C was 1.8 mmol/L, when LDL-C was greater than 1.8 mmol/L, there was a positive correlation between LDL-C levels and SUA/SCr (β = 0.67, 95% CI 0.35-0.98, P < 0.001). Moreover, LDL-C showed a significant positive correlation with SUA/SCr with a BMI of 28 or greater (β = 0.30, 95% CI 0.05-0.55, P = 0.019). However, no association was found between LDL-C and SUA/SCr with a BMI of less than 24 (β = 0.42, 95% CI - 0.03-0.86, P = 0.070). LDL-C levels were associated with SUA/SCr in Chinese male gout patients, but this correlation appeared inconsistent among different BMIs. Our findings suggest that LDL-C levels may be more noteworthy in overweight and/or obese male gout patients.

The association between monocyte-to-high-density lipoprotein ratio and hyperuricemia: Results from 2009 to 2018

Previous research has suggested that the monocyte-to-high-density lipoprotein ratio (MHR), an emerging inflammatory biomarker, holds promise in predicting the prevalence of various cardiovascular and metabolic diseases. However, earlier investigations were constrained by the relatively modest sample sizes. This study endeavored to expand the sample size and conduct a more comprehensive exploration of the potential relationship between MHR and hyperuricemia. This cross-sectional study incorporated data from participants of the 2009 to 2018 National Health and Nutrition Examination Survey (NHANES) with complete and qualifying information. MHR was determined by calculating the ratio between monocyte count and high-density lipoprotein levels. Various statistical methodologies such as weighted multivariate logistic regression, subgroup analysis, smoothed curve fitting, and threshold analysis, have been used to explore the correlation between hyperuricemia and MHR. The study included a cohort of 17,694 participants, of whom 3512 were diagnosed with hyperuricemia. MHR levels were notably higher in the hyperuricemia group than in the normal group, aligning with an elevated body mass index (BMI). A comprehensive multivariate logistic analysis, accounting for all relevant adjustments, revealed a notable positive correlation between MHR and hyperuricemia (P < .001, OR = 1.98, 95% CI: 1.54-2.54). Subgroup analysis indicated that the MHR exhibited an enhanced predictive capacity for identifying hyperuricemia risk, particularly in females (P < .05). Curvilinear and threshold analyses revealed a nonlinear association between MHR and hyperuricemia prevalence, with a notable inflection point at 0.826. In the US population, a clear positive correlation was observed between the MHR and prevalence of hyperuricemia. Importantly, the MHR is a more robust predictor of hyperuricemia risk in females. Further investigations are required to confirm these findings.

Assessment of the correlation between KAP scores regarding sugar-sweetened beverage consumption and hyperuricemia amongst Chinese young adults

BACKGROUND

The prevalence of hyperuricemia in China has been consistently increasing, particularly among the younger generation. The excessive consumption of sugar-sweetened beverages is associated with hyperuricemia. This study examined the knowledge, attitudes, and practices (KAP) of Chinese young adults regarding sugar-sweetened beverage consumption and the correlation with hyperuricemia.

METHODS

This cross-sectional investigation was conducted from June 28th, 2023, to July 21st, 2023, and enrolled Chinese young adults. Demographics and KAP were evaluated using a questionnaire (Cronbach's α = 0.787). Factors influencing KAP scores were analyzed using multivariable analyses.

RESULTS

A total of 1288 valid questionnaires were analyzed. The median knowledge, attitude, and practice scores were 16 (12,19)/22, 22 (20,24)/30, and 27.5 (23,31.75)/40. The multivariable analysis showed that bachelor's/associate education (OR = 1.912, 95%CI: 1.128-3.239), white collar/employee (OR = 0.147, 95%CI: 0.105-0.206), educator (OR = 0.300, 95%CI: 0.174-0.518), healthcare worker (OR = 0.277, 95%CI: 0.188-0.407), not suffering from hyperuricemia (OR = 0.386, 95%CI: 0.253-0.590), and not having gout (OR = 0.456, 95%CI: 0.282-0.736) were independently associated with knowledge. Age 26-30 (OR = 1.470, 95%CI: 1.052-2.052), age 31-35 (OR = 1.489, 95%CI: 1.097-2.022), age 36-40 (OR = 0.328, 95%CI: 1.010-1.746), age 41-44 (OR = 1.548, 95%CI: 1.091-2.198), and not having hyperuricemia (OR = 0.512, 95%CI: 0.345-0.760) were independently associated with attitude. White collar/employee (OR = 0.386, 95%CI: 0.285-0.521), educator (OR = 0.534, 95%CI: 0.317-0.899), healthcare worker (OR = 0.341, 95%CI: 0.236-0.493), having siblings (OR = 0.725, 95%CI: 0.573-0.917), and not suffering from hyperuricemia (OR = 0.442, 95%CI: 0.296-0.659), were independently associated with practice.

CONCLUSION

Chinese young adults display moderate KAP toward sugar-sweetened beverages. Notably, an association was observed between hyperuricemia and each KAP dimension.

Higher Atherogenic Index of Plasma Is Associated with Hyperuricemia: A National Longitudinal Study

Background

The association between atherogenic index of plasma (AIP) and hyperuricemia remains indistinct. This study was aimed to examine the relationship between AIP and hyperuricemia among the middle-aged and the elderly Chinese population.

Methods

Datasets were retrieved from the China Health and Retirement Longitudinal Study (CHARLS) survey conducted in 2011 and 2015. 13,021 participants in the CHARLS in 2011 and 7,017 participants involved both in 2011 and 2015 were included, respectively. The measurement of AIP and hyperuricemia was based on the test of fasting blood. Association between AIP and hyperuricemia was assessed by logistic regression, and the nonlinear association was examined by restricted cubic splines (RCS). The cutoff point of AIP was calculated using receiver operator curve (ROC). 1 : 1 propensity score matching (PSM) was adopted to further explore the relationship between AIP and hyperuricemia.

Results

In the section of a cross-sectional study, a positive association between AIP and hyperuricemia was found. The odds ratios (ORs) of hyperuricemia were 1.00 (reference), 1.52 (1.10-2.10), 1.80 (1.31-2.47), and 3.81 (2.84-5.11). Nonlinear association was not detected using RCS analysis. There were 664 hyperuricemia cases during the four years follow-up. The hyperuricemia prevalence was 9.5%. In the fully adjusted longitudinal analysis, the ORs for hyperuricemia across the quartiles of AIP were 1.00 (reference), 1.00 (0.74-1.37), 1.59 (1.20-2.11), and 2.55 (1.94-3.35), respectively. In the longitudinal analysis after PSM, the OR of hyperuricemia were 1.91 (1.45, 2.51) and 1.92 (1.45, 2.54) in the univariate and multivariate model, respectively.

Conclusion

AIP can predict the prevalence of hyperuricemia in the Chinese middle-aged and elderly population.

Hyperuricemia and associated factors: The case of outpatients at the Bafoussam Regional Hospital- Cameroon, an analytical cross-sectional study

Background and Aims

Hyperuricemia constitutes a major public health issue due to its implication in many chronic diseases and metabolic syndromes. We propose to study the prevalence and associated factors of hyperuricemia to diagnose asymptomatic patients and make prognoses on the state of health of the patients.

Methods

An analytic cross-sectional study has been carried out at the Bafoussam Regional Hospital and the Biochemistry laboratory of the Université des Montagnes over 2 months. Sociodemographic and anthropometric characteristic was obtained; a blood sample was collected from the chosen patients and a biochemical test (uric acid, creatinine, urea, total cholesterol, high density lipoproteins cholesterol, triglyceride) was analyzed by spectrophotometric method. Statistical tests were carried out using SPSS statistical software. Logistic regression analyses identified factors associated with variables of interest. The significance was measured by a p < 0.05 with a confidential level of 95%.

Results

The patient population was made up of 100 patients. The sex ratio was 1.22 in favor of men. The prevalence of hyperuricemia in our study was 28.0% with 31.1% in women and 27.3% in men. The mean average of uric acid in the hyperuricemia population was 7.50 ± 1.24 mg/L and the normal uricemia population was 4.69 ± 1.49 mg/L (p < 0.0001). The mean average triglyceride in the hyperuricemia population was 143 ± 14 and 117.55 ± 55.52 mg/dL in normal uricemia with p = 0.046. Age range [35-45] and hypertriglyceridemia have been associated with hyperuricemia with respectively (odds ratio [OR] = 4.07, p < 0.015) confidence interval, CI: [0.89: 97.0]) and ([OR = 2.50, p < 0.046] CI: [1.01: 6.09]).

Conclusion

The prevalence of hyperuricemia was relatively high and has been associated with metabolic disorders in the population. It is necessary to focus on early diagnoses, treatment, and early intervention in view to prevent chronic diseases associated with hyperuricemia.

Integrative metabolomic and network pharmacological analysis reveals potential mechanisms of Cardamine circaeoides Hook.f. & Thomson in alleviating potassium oxonate-induced asymptomatic hyperuricemia in rats

Cardamine circaeoides Hook.f. & Thomson (CC), a herb of the genus Cardamine (family Brassicaceae), has a rich historical usage in China for both culinary and medicinal purposes. It is distinguished by its remarkable ability to hyperaccumulate selenium (Se). CC has demonstrated efficacy in the prevention of metabolic disorders. However, investigations into the effects of CC on asymptomatic hyperuricemia remain scarce. The objective of this study is to elucidate the mechanism by which CC aqueous extract (CCE) exerts its anti-hyperuricemic effects on asymptomatic hyperuricemic rats induced by potassium oxonate (PO) by integrating metabolomics and network pharmacological analysis. Asymptomatic hyperuricemia was induced by feeding rats with PO (1000 mg/kg) and CCE (0.75, 1.5, or 3 g/kg) once daily for 30 days. Various parameters, including body weight, uric acid (UA) levels, histopathology of renal tissue, and inflammatory factors (IL-1β, IL-6, IL-8, and TNF-α) were assessed. Subsequently, metabolomic analysis of kidney tissues was conducted to explore the effects of CCE on renal metabolites and the related pathways. Furthermore, network pharmacology was employed to explicate the mechanism of action of CCE components identified through UPLC-Q-TOF-MS analysis. Finally, metabolomic and network-pharmacology analyses were performed to predict crucial genes dysregulated in the disease model and rescued by CCE, which were then subjected to verification by RT-qPCR. The findings revealed that CCE significantly inhibited the UA levels from the 21st day to the 30th day. Moreover, CCE exhibited significant inhibition of IL-1β, IL-6, IL-8, and TNF-α levels in renal tissues. The dysregulation of 18 metabolites and the tyrosine, pyrimidine, cysteine, methionine, sphingolipid, and histidine metabolism pathways was prevented by CCE treatment. A joint analysis of targets predicted using the network pharmacology approach and the differential metabolites found in metabolics predicted 8 genes as potential targets of CCE, and 3 of them (PNP gene, JUN gene, and ADA gene) were verified at the mRNA level by RT-qPCR. We conclude that CCE has anti-hyperuricemia effects and alleviates renal inflammation in a rat model of hyperuricemia, and these efficacies are associated with the reversal of increased ADA, PNP, and JUN mRNA expression in renal tissues.

Uric acid and metabolic syndrome: Findings from national health and nutrition examination survey

Introduction

Hyperuricemia commonly associated with Gout has been proposed as an independent risk factor for Metabolic Syndrome (MetS).

Objective

The purpose of the study was to determine if there is a relationship between hyperuricemia and MetS.

Methods

An analysis of cross-sectional data was conducted using the 2013-2018 National Health and Nutrition Examination Survey (NHANES) datasets. Sample weights were assigned by NHANES researchers to each participant allowing researchers to generalize results to all non-institutionalized United States (US) civilians. The analysis included 6,432 individuals, which were representative of 94,729,059 US citizens.

Results

Pearson's correlations, chi-square tests, and logistic regression equations were calculated to determine the association between hyperuricemia and MetS. In an unadjusted regression analysis, individuals with hyperuricemia (above 7.0 mg/dL in males and 6.0 mg/dL in females) were 3.19 times more likely to have MetS compared to those with normal uric acid (UA) levels. When controlling for various confounding variables those with hyperuricemia were 1.89 and 1.34 times more likely to have MetS than those with normal UA levels in two additional logistic regression models.

Conclusion

In this large cross-sectional study, hyperuricemia was found to be associated with MetS. Additional analyses that controlled for various risk factors previously identified as predictive of MetS still demonstrated hyperuricemia independently associated with MetS. The results of this study suggest a need to understand the metabolic pathways of UA more clearly to further explain the contribution to MetS. Additional research should include prospective clinical trials assessing the effects of UA and the control of UA on MetS and concomitant medical outcomes.

Adherence to DASH Dietary Pattern and Its Association with Incident Hyperuricemia Risk: A Prospective Study in Chinese Community Residents

Hyperuricemia represents a great burden on global public health, and it is important to provide effective guidance at the level of dietary patterns. We evaluated the association between the Dietary Approaches to Stop Hypertension (DASH) diet and the risk of hyperuricemia in a large-scale, community-based cohort in East China. In total, 45,853 participants that did not have either hyperuricemia nor gout were included and assigned a DASH dietary score based on their baseline dietary intake. They were then divided into five quintiles (Q1−Q5) according to their score, followed by cross-linkages with local health information systems and in-person surveys. Cox proportional hazards models were adopted to calculate hazard ratio (HR) and 95% confidence intervals (CIs). During a median follow-up of 4.54 years, 2079 newly diagnosed hyperuricemia cases were documented. Compared to the DASH Q1 group, the risk of incident hyperuricemia for the Q5 group was significantly reduced by 16% (HR: 0.84; 95% CIs: 0.72−0.97) in the adjusted model. The associations of DASH diet with hyperuricemia appeared stronger (P for interaction <0.001) among participants with 3−4 cardiometabolic diseases at baseline, compared with their counterparts. Our results suggest that the DASH diet could be taken into account in the recognition of risk population and the prevention of hyperuricemia.