Associations between obesity parameters and hyperuricemia by sex, age, and diabetes mellitus: A nationwide study in Korea

Adipocyte-secreted ANGPTL2 promotes hyperuricemia through inhibiting AKT/ABCG2 signaling

AIMS

Overweight and obesity are closely associated with hyperuricemia (HUA). However, the effect of obesity-induced adipokine on the level of serum uric acid (UA) has not been fully elucidated. This study aimed to determine the role of adipokine in the pathogenesis of HUA.

METHODS

Omental adipose tissues from HUA patients with obesity were collected for data-independent acquisition (DIA) proteomics analysis, and the secreted protein angiopoietin-like protein (ANGPTL2) was identified and further validated via Western blot and ELISA. Angptl2 knockout (ko) and adipocyte-specific ANGPTL2 overexpression mice were generated to establish HUA models. HK2 cells and primary renal tubule epithelial cells (RTECs) were applied to induce HUA cell model and treated with recombinant human ANGPTL2 or supernatants derived from C3H10 cells differentiated into adipocytes.

RESULT

ANGPTL2 levels were significantly elevated in the omental adipose tissue from HUA with obesity patients compared to control participants. Circulating ANGPTL2 levels were also increased, and positively correlated with serum UA levels, especially in male participants. Plasma UA levels were significantly decreased in Angptl2 ko mice, coinciding with up-regulated expression of ATP binding cassette subfamily G member 2 (ABCG2) and down-regulated glucose transporter 9 (GLUT9) in renal tissue. However, plasma UA levels were significantly increased, accompanied by decreased ABCG2 expression and enhanced GLUT9 expression after adipocyte-specific ANGPTL2 overexpression. Furthermore, adipocyte-derived ANGPTL2 increased UA level in cell supernatants through the inhibition of protein kinase B (AKT)/ABCG2 signaling in RTECs and HK2 cells.

CONCLUSION

Adipokine ANGPTL2 levels were significantly elevated in HUA patients with obesity. Circulating ANGPTL2 concentrations were independently associated with serum UA levels, particularly in obese males. Adipocyte-secreted ANGPTL2 promoted the level of UA through AKT/ABCG2 signaling in renal tubular cells. These findings establish ANGPTL2 as a critical adipokine linking obesity to hyperuricemia and suggest its potential as a novel therapeutic target for HUA.

Association of Chinese visceral adiposity index with asymptomatic hyperuricemia incidence in type 2 diabetes: a cross-sectional study

Background

Previous research has shown a correlation between high visceral fat levels and hyperuricemia incidence. The Chinese Visceral Adiposity Index (CVAI) assessed visceral fat status in the Chinese population. Our study investigates the correlation between CVAI and asymptomatic hyperuricemia in type 2 diabetes patients.

Methods

This cross-sectional study analyzed 1,588 hospitalized type 2 diabetes patients to investigate the association between CVAI and hyperuricemia. CVAI was included in the logistic regression analysis as both a continuous and categorical variable, and restricted cubic splines were used to assess the dose-response relationship. Additionally, subgroup analyses were performed to investigate potential interactions among variables. The predictive capability of CVAI was assessed using the receiver operating characteristic (ROC) curve based on the basic model.

Results

The CVAI quartile group analysis revealed a higher prevalence of hyperuricemia with increasing CVAI levels. CVAI is significantly associated with hyperuricemia, as identified through multifactorial logistic regression analysis. After adjusting for all covariates, the odds ratios for CVAI in the second, third, and fourth quartiles were significantly higher than in the lowest quartile, with values of 2.688 (95% CI [1.301-5.554], p = 0.008), 2.752 (95% CI [1.320-5.739], p = 0.007), and 4.990 (95% CI [2.392-10.409], p < 0.001), respectively. No significant interactions were observed in the subgroup analysis. Incorporating CVAI into the basic model increased the ROC curve's area under the curve to 0.714.

Conclusion

This study found a positive correlation between CVAI and hyperuricemia incidence in type 2 diabetes patients. Consequently, CVAI may reliably indicate hyperuricemia in this patient population.

Life's essential 8 and cardiovascular disease among patients with hyperuricemia: The Kailuan Cohort Study

OBJECTIVES

Studies have found that a high Life's Essential 8 (LE8) score is associated with a reduced risk of cardiovascular disease(CVD) in cancer populations and young adults. However, the association between LE8 and the risk of CVD in hyperuricemia (HUA) is not fully understood.

METHODS

The main analysis included 6814 HUA participants. In a secondary analysis, 5,418 participants were selected from the main analysis to model the trajectory of uric acid (UA) levels from 2006 to 2010. Cox regression model was used to investigate the relationship between LE8 total score and cardiovascular disease risk in different populations.

RESULTS

Follow-up of 15.79 years in the main analysis, 986 CVD events occurred. With tertile 1 as the control group, the HR and 95 % CI of CVD in tertile 2 and tertile 3 were 0.75(0.65,0.87) and 0.56(0.47,0.66). In the secondary analysis, the HR and 95 %CI of individuals with low and medium levels of UA reduced CVD were 0.49(0.26,0.89) and 0.56(0.41,0.76), respectively, but this association was not found in individuals with sustained high UA levels. The risk of CVD was different between the sexes. There are differences in cardiovascular disease risk among different age groups.

CONCLUSIONS

The risk of CVD in HUA population decreased with the increase of LE8 score, especially in young and middle-aged people and women. However, it is important to note that LE8 may not reduce the risk of CVD in individuals with sustained high UA levels.

Knowledge, attitudes, and practices among patients with diabetes mellitus and hyperuricemia toward disease self-management

Background

This study aimed to assess the knowledge, attitudes and practices (KAP) among patients with diabetes mellitus and hyperuricemia toward disease self-management.

Methods

This web-based cross-sectional study was conducted between June 2023 and January 2024 at Heilongjiang Provincial Hospital. A self-designed questionnaire was developed to collect demographic information of patients with diabetes mellitus and hyperuricemia, and assess their knowledge, attitudes and practices toward disease self-management.

Results

A total of 482 participants were enrolled in this study, among them, 364 (75.52%) were male, 235 (48.76%) were aged between 40 and 59 years, 226 (46.89%) had a body mass index (BMI) ranging from 24 to 28 kg/m2, 337 (69.92%) had received a diagnosis of diabetes for a duration of 2 years or more, while 245 (50.83%) had been diagnosed with hyperuricemia for a similar duration. Their median (range) knowledge, attitude and practice scores were 10.00 (9.00, 11.00) (possible range: 0-12), 38.00 (36.00, 40.00) (possible range: 9-45), and 30.00 (26.00, 34.75) (possible range: 10-50), respectively. The path analysis demonstrated that knowledge had direct effects on attitude (β = 0.508, p < 0.001), and attitude had direct effects on practice (β = 0.448, p < 0.001). Additionally, there was an indirect effect of knowledge on practice mediated through attitude, with a path coefficient of 0.228 (p < 0.001).

Conclusion

This study demonstrates that patients with diabetes mellitus and hyperuricemia exhibit relatively proficient responses to certain items within the KAP dimensions. However, it also exposes a certain degree of inadequacy in the KAP level toward disease management. Interventions should focus on improving patients' understanding of their conditions while fostering positive attitudes, ultimately translating into better self-management practices.

Association between Uric Acid Levels and the Consumption of Sugar-Sweetened Carbonated Beverages in the Korean Population: The 2016 Korea National Health and Nutrition Examination Survey

Elevated uric acid levels are linked with obesity and diabetes. Existing research mainly examines the relationship between sugar-sweetened carbonated beverage (SSB) consumption and uric acid levels. This study explored the association between the quantity and frequency of SSB consumption and elevated uric acid levels in Korean adults. Data from 2881 participants aged 19-64 years (1066 men and 1815 women) in the 2016 Korea National Health and Nutrition Examination Survey were analyzed. Serum uric acid levels were categorized into quartiles, with the highest defined as high uric acid (men, ≥6.7 mg/dL; women, ≥4.8 mg/dL). SSB consumption was classified into quartiles (almost never, <1 cup (<200 mL), 1-3 cups (200-600 mL), ≥3 cups (≥600 mL)) and frequency into tertiles (almost never, ≤1/week, ≥2/week). Multivariate logistic regression assessed the association, with separate analyses for men and women. Increased daily SSB consumption and frequency were significantly associated with high uric acid levels in men but not in women. After adjusting for sociodemographic and health characteristics, consuming ≥3 cups (≥600 mL) of SSBs per day and SSBs ≥ 2/week were significantly associated with high serum uric acid levels in men, but this association was not observed in women. The study concludes that increased SSB intake is linked to elevated uric acid levels in Korean men, but not in women.

L-shaped association between lean body mass to visceral fat mass ratio with hyperuricemia: a cross-sectional study

BACKGROUND

Insufficient attention has been given to examining the correlation between body composition and hyperuricemia, leading to inconsistent findings. The primary objective of this research is to explore the association between lean body mass index (LMI), visceral fat mass index (VFMI), and hyperuricemia. A specific emphasis will be placed on assessing the link between the ratio of lean body mass to visceral fat mass (LMI/VFMI) and hyperuricemia.

METHODS

The present study employed a cross-sectional design and involved a total of 9,646 individuals who participated in the National Health and Nutrition Examination Survey (NHANES). To explore the associations among the variables, logistic and linear regressions were employed. Additionally, subgroup analyses and sensitivity analyses were conducted based on various characteristics.

RESULTS

The results showed that LMI was positively associated with hyperuricemia (for Per-SD: OR = 1.88, 95%CI: 1.75, 2.01; for quartiles [Q4:Q1]: OR = 5.37, 95%CI: 4.31, 6.69). Meanwhile, VFMI showed a positive association with hyperuricemia (for Per-SD: OR = 2.02, 95%CI: 1.88, 2.16; for quartiles [Q4:Q1]: OR =8.37, 95%CI: 6.70, 10.47). When considering the effects of In LMI/VFMI, an L-shaped negative association with hyperuricemia was observed (for Per-SD: OR = 0.45, 95%CI: 0.42, 0.49; for quartiles [Q4:Q1]: OR = 0.16, 95%CI: 0.13, 0.20). Subgroup and sensitivity analyses demonstrated the robustness of this association across different subgroups. Additionally, the segmented regression analysis indicated a saturation effect of 5.64 for the In LMI/VFMI with hyperuricemia (OR = 0.20, 95%CI: 0.17, 0.24). For every 2.72-fold increase of In LMI/VFMI, the risk of hyperuricemia was reduced by 80%.

CONCLUSION

The LMI/VFMI ratio is non-linearly associated with serum uric acid. Whether this association is causal needs to be confirmed in further longitudinal studies or Mendelian randomization.

The agreement of low lean mass with obesity using different definitions and its correlation with hyperuricemia

Background

The agreement on the identification of sarcopenic obesity remains elusive, and its association with hyperuricemia remains unestablished. This study sought to evaluate the agreement of low lean mass (LLM) with obesity and its correlation with hyperuricemia.

Methods

A total of 25,252 study participants, comprising 4,597 individuals with hyperuricemia, were obtained from the National Health and Nutrition Examination Survey spanning the years 1999-2006 and 2011-2018. LLM with obesity was characterized by the coexistence of LLM, determined by the ratio of appendicular lean mass to body mass index (BMI), and three categories of obesity including BMI, body fat percentage (BF%), and waist circumference (WC). We employed Cohen's kappa to evaluate the agreement among the different diagnostic criteria and implemented survey multiple logistic regression and stratified analyses to explicate the connection between LLM with obesity and the risk of hyperuricemia.

Results

When defining obesity using BF%, BMI, and WC, the prevalence of LLM with obesity varied from 6.6 to 10.1%, with moderate-to-strong agreement. In the fully adjusted model, individuals with LLM or any of the three types of obesity exhibited notably elevated odds of developing hyperuricemia. Likewise, participants with LLM and obesity had 2.70 (LLM + BMI), 2.44 (LLM + BF%), and 3.12 (LLM + WC) times the risk of hyperuricemia, respectively, compared with healthy individuals. The association between LLM with obesity and hyperuricemia remained stable and significant across different age and sex subgroups.

Conclusion

When employing the three definitions of obesity, the incidence of LLM with obesity was not high, and the diagnostic agreement was relatively good. The participants with LLM and obesity exhibited an increased risk of hyperuricemia.