Effects of diet, physical activity and performance, and body weight on incident gout in ostensibly healthy, vigorously active men

Association between physical activity and the prevalence of gout among patients with type 2 diabetes mellitus and hyperuricemia: a two-center population-based cross-sectional study

INTRODUCTION

Diabetes mellitus (DM) and gout cohabitation severely reduces patient life quality while raising financial burden on individual and society. The aim of this study was to elucidate the association between physical activity (PA) and the prevalence of gout among type 2 DM (T2DM) and hyperuricemia (HUA) patients.

METHODS

In all, we recruited 2291 T2DM patients with HUA. Among them, 448 had gout and 1843 did not. We collected patient data, such as anthropometry, laboratory reports, and medical history, for our analyses. The PA assessment was based on the Chinese version of International PA Questionnaire-short (IPAQ). Moreover, the relationship between PA and gout risk was examined using multivariate logistic regression models.

RESULTS

Total PA was markedly low among gout patients, relative to controls (p < 0.05). Based on the IPAQ categorical score, 38.2% exhibited "low," 26.8% "moderate," and 35.0% "high" PA among gout patients. In comparison, 12.4% performed "low," 53.8% "moderate," and 33.8% "high" PA among controls. Multivariate analysis revealed that, after adjustment of confounding factors, both low (OR 6.382) and high PA (OR 2.048) had a higher prevalence of gout, as compared to moderate PA. Moreover, we revealed that the male sex, age, HUA duration, serum uric acid, glycated hemoglobin, dyslipidemia history, and drinking status were also independent indicators of the prevalence of gout. Furthermore, stratification analyses revealed results consistent with our prior results.

CONCLUSIONS

PA intensity was associated with the prevalence of gout among T2DM and HUA patients, and the lowest prevalence was achieved from moderate intensity PA. Key Points • PA intensity was associated with the prevalence of gout among T2DM and HUA patients. • The lowest prevalence of gout was achieved from moderate intensity PA.

Dose-Response Relationship Between Alcohol Consumption and Gout Risk: Do Subtypes of Alcoholic Beverages Make a Difference?

OBJECTIVE

Although previous studies have explored the association of drinking with gout risk, we sought to explore the dose-response relationship and the evidence between subtypes of alcoholic beverages and gout risk.

METHODS

The weekly alcoholic beverage consumption of patients in the UK Biobank was collected and calculated. The Cox regression model was applied to assess the effects of drinking alcohol in general and its subtypes on gout risk by calculating the hazard ratio (HR) and 95% CIs. Additionally, the restricted cubic splines were used to estimate the dose-response relationship between alcohol consumption and gout risk. To evaluate the robustness, we performed subgroup analysis across various demographic characteristics.

RESULTS

During a mean follow-up period of 11.7 years, a total of 5728 new incident gout cases were diagnosed among 331,865 participants. We found that light alcohol consumption was linked to a slight decrease in gout incidence among female individuals (HR 0.78, 95% CI 0.65-0.94, P = 0.01), whereas there was no significant association in male individuals. Moreover, the dose-response relationship showed that drinking light red wine and fortified wine could reduce the gout risk, whereas beer or cider, champagne or white wine, and spirits increased the gout risk at any dose.

CONCLUSION

Our study suggested a J-shaped dose-response relationship between drinking and gout risk in female individuals, but not in male individuals. For specific alcoholic beverages, light consumption of red wine and fortified wine was associated with reduced gout risk. These findings offer new insights into the roles of alcoholic beverages in gout incidence risk, although further validation is warranted.

Consumption of Total and Specific Alcoholic Beverages and Long-Term Risk of Gout Among Men and Women

Importance

Previous studies on alcohol consumption and incident gout have mostly included men or combined both sexes, and the sex-specific associations between alcohol consumption and gout are poorly understood.

Objective

To evaluate the consumption of total and specific alcoholic beverages in association with incident gout in men and women.

Design, Setting, and Participants

This prospective cohort study included 401 128 participants in the UK Biobank aged 37 to 73 years who were free of gout at baseline (2006-2010). Participants were followed up through December 31, 2021, and data were analyzed between August 2023 and June 2024.

Exposure

Questionnaire-based consumption of total alcohol and specific alcoholic beverages.

Main Outcomes and Measures

The outcome was incident gout, identified using hospital records. Multivariable Cox proportional hazards regression models were used to estimate sex-specific hazard ratios (HRs) and 95% CIs of incident gout associated with alcohol consumption, with a particular consideration of reverse causation bias.

Results

The main analysis included 179 828 men (mean [SD] age, 56.0 [8.2] years) and 221 300 women (mean [SD] age, 56.0 [8.0] years). Current drinkers showed a higher risk of gout than never drinkers among men (HR, 1.69; 95% CI, 1.30-2.18) but not among women (HR, 0.83; 95% CI, 0.67-1.03). Among current drinkers, higher total alcohol consumption was associated with a higher risk of gout among both sexes and more strongly among men than women (men: HR, 2.05 [95% CI, 1.84-2.30]; women: HR, 1.34 [95% CI, 1.12-1.61]). The most evident sex difference in the consumption of specific alcoholic beverages was observed for beer or cider (men: mean [SD], 4.2 [4.8] pints per week; women: mean [SD], 0.4 [1.1] pints per week). Consumption of champagne or white wine, beer or cider, and spirits each was associated with a higher risk of gout among both sexes, with beer or cider showing the strongest association per 1 pint per day (men: HR, 1.60 [95% CI, 1.53-1.67]; women: HR, 1.62 [95% CI, 1.02-2.57]). Some inverse associations between light to moderate consumption of specific alcoholic beverages and gout were eliminated after adjusting for other alcoholic beverages and excluding individuals who had reduced alcohol consumption for health reasons, self-reported poor health, or had cardiovascular disease, cancer, or kidney failure at baseline, or developed gout within the first 2 years of follow-up.

Conclusions and Relevance

In this cohort study, higher consumption of several specific alcoholic beverages was associated with a higher risk of gout among both sexes. The sex-specific associations for total alcohol consumption may be associated with differences between men and women in the types of alcohol consumed.

Plasma and Urinary Metabolomic Analysis of Gout and Asymptomatic Hyperuricemia and Profiling of Potential Biomarkers: A Pilot Study

Gout results from monosodium urate deposition caused by hyperuricemia, but most individuals with hyperuricemia remain asymptomatic. The pathogenesis of gout remains uncertain. To identify potential biomarkers distinguishing gout from asymptomatic hyperuricemia, we conducted a genetic analysis of urate transporters and metabolomic analysis as a proof-of-concept study, including 33 patients with gout and 9 individuals with asymptomatic hyperuricemia. The variant allele frequencies of rs72552713, rs2231142, and rs3733591, which are related to serum urate levels (SUA) and gout, did not differ between the gout and asymptomatic hyperuricemia groups. In metabolomic analysis, the levels of citrate cycle intermediates, especially 2-ketoglutarate, were higher in patients with gout than in those with asymptomatic hyperuricemia (fold difference = 1.415, p = 0.039). The impact on the TCA cycle was further emphasized in high-risk gout (SUA ≥ 9.0 mg/dL). Of note, urinary nicotinate was the most prominent biomarker differentiating high-risk gout from asymptomatic hyperuricemia (fold difference = 6.515, p = 0.020). Although urate transporters play critical roles in SUA elevation and promote hyperuricemia, this study suggests that the progression from asymptomatic hyperuricemia to gout might be closely related to other genetic and/or environmental factors affecting carbohydrate metabolism and urinary urate excretion.

The Impact of Different Intensities of Physical Activity on Serum Urate and Gout: A Mendelian Randomization Study

Physical activity is a potential protective factor against gout, but the role of exercise intensity in this context remains unclear. To overcome the limitations of observational studies in causal inference, this study employed a two-sample Mendelian randomization approach to explore the impact of different genetically proxied/predicted intensities of physical activity on serum urate concentration and the incidence of gout. Our data related to physical activity, serum urate, and gout were obtained from the UK Biobank, the Global Urate Genetics Consortium (GUGC), and the FinnGen dataset, respectively. Walking was included as representative of typical low-intensity physical activity in the analysis, and the other two types were moderate and vigorous physical activities. The estimation methods we used included the inverse-variance-weighted (IVW) method, MR-Egger regression, weighted-median method, simple-mode method, and weighted-mode method. Sensitivity analyses involved Rucker's framework, Cochran's Q test, funnel plots, MR-PRESSO outlier correction, and leave-one-out analysis. We found suggestive evidence from the inverse-variance-weighted method that moderate physical activity was a potential factor in reducing the incidence of gout (OR = 0.628, p = 0.034), and this association became more substantial in our subsequent sensitivity analysis (OR = 0.555, p = 0.006). However, we observed no distinctive effects of physical activity on serum urate concentration. In conclusion, our study supports some findings from observational studies and emphasizes the preventive role of moderate physical activity against gout. Given the limitations of the existing datasets, we call for future reexamination and expansion of our findings using new GWAS data.

Global burden and epidemic trends of gout attributable to high body mass index from 1990 to 2019

Introduction

Gout is an inflammatory and metabolic disease characterized by arthritis and elevation of the serum uric acid (SUA) level. More and more studies have shown that high body mass index (BMI) has become one of the most important risk factors for gout.

Material and methods

We used the data of gout burden attributed to high body mass index (BMI) from global burden of disease (GBD) study 2019 to provide insights for reducing the global burden of gout.

Results

From 1990 to 2019, the prevalence and DALYs of gout caused by high BMI worldwide has been increasing. The burden of gout caused by high BMI is heavier in the elderly male group and regions with high SDI worldwide.

Conclusions

Our findings provide evidence for the burden of gout caused by high BMI. Developing a weight management plan and lifestyle habits for groups severely affected by gout will effectively reduce the global disease and economic burden.

Ultraprocessed food consumption, genetic predisposition, and the risk of gout: the UK Biobank study

OBJECTIVE

This study aimed to examine the interactions between ultraprocessed food (UPF) consumption and genetic predisposition with the risk of gout.

METHODS

This prospective cohort study analysed 181 559 individuals from the UK Biobank study who were free of gout at baseline. UPF was defined according to the NOVA classification. Assessment of genetic predisposition for gout was developed from a genetic risk score of 33 single nucleotide polymorphisms. Cox proportional hazards were used to estimate the associations between UPF consumption, genetic predisposition and the risk of gout.

RESULTS

Among the 181 559 individuals in the study, 1558 patients developed gout over 1 648 167 person-years of follow-up. In the multivariable adjustment model, compared with the lowest quartile of UPF consumption, the hazard ratio (HR) and 95% CI of the highest UPF consumption was 1.16 (1.01, 1.33) for gout risk, and there was a non-linear correlation between UPF consumption and the development of gout. In substitution analyses, replacing 20% of the weight of UPF in the daily intake with an equal amount of unprocessed or minimally processed food resulted in a 13% lower risk of gout (HR: 0.87; 95% CI: 0.79, 0.95). In the joint-effect analysis, the HR (95% CI) for gout was 1.90 (1.39, 2.60) in participants with high genetic predisposition and high UPF consumption, compared with those with low genetic predisposition and low UPF consumption.

CONCLUSION

In summary, UPF consumption was found to be associated with a higher risk of gout, particularly in those participants with genetic predisposition to gout. Our study indicated that reducing UPF consumption is crucial for gout prevention.

Association between alcohol consumption and risk of hyperuricaemia among adults: a large cross-sectional study in Chongqing, China

OBJECTIVE

To investigate the relationship between alcohol consumption and hyperuricaemia (HUA), we conducted a study based on a large population.

SETTING

Cross-sectional study.

PARTICIPANTS

A total of 20 833 participants aged 30-79 years were enrolled in the China Multi-Ethnic Cohort, Chongqing region.

OUTCOMES

The serum level of uric acid, fasting blood glucose and blood lipids were tested. Basic demographic statistics such as age, gender, marital status, education level, family annual income and the detail information of alcohol consumption were collected using a standardised questionnaire.

RESULTS

After controlling for potential confounders, compared with participants who never consumed alcohol, participants who drank 3-5 days per week had the highest risk of HUA (OR: 1.51, 95% CI: 1.25 to 1.82) and those who drank alcohol harmfully had the highest risk of HUA (OR: 1.81, 95% CI: 1.41 to 2.32). In addition, we found that those who drank moderately had no significant association with risk of HUA. However, among men, compared with participants who never consumed alcohol, those who drank moderately was also a risk factor of HUA (OR: 1.23, 95% CI: 1.03 to 1.46) and those who drank alcohol harmfully had the highest risk of HUA (OR: 2.13, 95% CI: 1.64 to 2.78). Compared with participants who drank alcohol moderately, the OR (95% CI) for those who drank alcohol harmfully had the highest risk of HUA was 1.88 (1.42 to 2.48), and the corresponding OR (95% CI) for each level increment in the degree of alcohol consumption was 1.22 (1.12 to 1.33). Among men, compared with participants who drank alcohol moderately, those who drank alcohol harmfully had the highest risk of HUA (OR: 1.93, 95% CI: 1.45 to 2.57), as well as the corresponding OR (95% CI) for each level increment in the degree of alcohol consumption was 1.24 (1.13 to 1.35).

CONCLUSION

This study suggested that the frequency and degree of alcohol consumption may be the risk factors for HUA, especially in males.

Risk of gout in Taiwan Biobank participants pertaining to their sex and family history of gout among first-degree relatives

BACKGROUND

Family history of gout and sex are independently associated with gout. However, there is a paucity of research regarding the joint role of both factors in gout pathogenesis. Therefore, we assessed the independent and combined association of family history of gout and sex with gout.

METHODS

Our analysis included 132,311 Taiwan Biobank (TWB)-enrolled individuals comprising 21,159 gout cases and 111,152 controls. We subcategorized the family history of gout as (1) both siblings and parents had gout), (2) only parents had gout, and (3) only siblings had gout.

RESULTS

Generally, sex (men compared to women) and family history of gout were independently associated with a higher risk of gout. The odds ratio (OR); 95% confidence interval (CI) was 9.175; 8.801-9.566 for sex, and 2.306; 2.206-2.410 for family history. For the subcategories 'both siblings and had gout,' 'only parents had gout,' and 'only siblings had gout,' the odds ratios (ORs); 95% confidence intervals (CIs) were 4.944; 4.414-5.538, 2.041; 1.927-2.161, and 2.162; 2.012-2.323, respectively. The interaction between sex and family history was significant (p value = 0.0001). After stratification by sex, family history of gout remained significantly associated with a higher risk of gout in both sexes, even though the odds ratios were higher in men. For the subcategories 'both siblings and parents had gout,' 'only parent had gout,' and 'only siblings had gout,' the corresponding ORs; 95% CIs were 6.279; 5.243-7.520, 2.211; 2.062-2.371, and 2.148; 1.955-2.361 in men and 4.199; 3.566-4.945, 1.827; 1.640-2.035, and 2.093; 1.876-2.336 in women. After integrating sex and family history (reference: women with no family history), the highest risk of gout was observed in men who had at least one parent and sibling with a history of gout (OR; 95% CI 55.774; 46.360-67.101).

CONCLUSION

Sex and family history of gout were independently and interactively associated with gout. Sex-wise, men had a higher risk of gout than women. Family history was associated with a higher risk of gout in both sexes, but men had a higher risk. Notably, men having both siblings and parents with gout had the highest risk of gout.

Exploring the Multifaceted Nexus of Uric Acid and Health: A Review of Recent Studies on Diverse Diseases

The prevalence of patients with hyperuricemia or gout is increasing worldwide. Hyperuricemia and gout are primarily attributed to genetic factors, along with lifestyle factors like consuming a purine-rich diet, alcohol and/or fructose intake, and physical activity. While numerous studies have reported various comorbidities linked to hyperuricemia or gout, the range of these associations is extensive. This review article focuses on the relationship between uric acid and thirteen specific domains: transporters, genetic factors, diet, lifestyle, gout, diabetes mellitus, metabolic syndrome, atherosclerosis, hypertension, kidney diseases, cardiovascular diseases, neurological diseases, and malignancies. The present article provides a comprehensive review of recent developments in these areas, compiled by experts from the Young Committee of the Japanese Society of Gout and Uric and Nucleic Acids. The consolidated summary serves to enhance the global comprehension of uric acid-related matters.

Association between vegetarian diet and gouty arthritis: A retrospective cohort study

BACKGROUND AND AIMS

A vegetarian diet is rich in vegetables, fruits, and soy products. Although vegetarian diet is beneficial for improving the health outcomes such as body mass index, metabolic syndrome, cardiovascular disease, and mortality rate, the association between a vegetarian diet and gout incidence is not well known.

METHODS AND RESULTS

We linked the MJ Health Survey Data and MJ Biodata 2000 with the National Health Insurance Research Database (NHIRD) and the National Registration of Death (2000-2018). Information on the diet was collected from the MJ Health Survey Data, and the incidence of gouty arthritis was confirmed using the NHIRD. The Kaplan-Meier survival curve and log-rank test were used to compare the differences between vegetarian and non-vegetarian participants. Cox regression models were used to estimate the risk of the incidence of gouty arthritis. Among 76,972 participants, 37,297 (48.46%) were men, 2488 (3.23%) were vegetarians and the mean age was 41.65 ± 14.13 years. The mean baseline uric acid level was 6.14 ± 1.65 mg/dL. A total of 16,897 participants developed gouty arthritis, including 16,447 (22.08%) non-vegetarians and 450 (18.9%) vegetarians over a mean follow-up of 19 years. Significant differences were observed in the Kaplan-Meier survival curves between vegetarians and non-vegetarians (log-rank p < 0.001). Vegetarians had a significantly decreased incidence of gouty arthritis compared with non-vegetarians (hazard ratio = 0.87, 95% confidence interval = 0.78-0.98, p = 0.02) after adjusting for potential confounders.

CONCLUSION

People with a vegetarian diet had a significantly decreased risk of developing gouty arthritis compared with non-vegetarians in Taiwan.

Causal Association Between Tea Consumption and Gout: A Mendelian Randomization Study

OBJECTIVE

Evidence from prospective studies on the consumption of tea and risk of gout is conflicting and limited. We aimed to investigate the potential causal effects of tea intake on gout using Mendelian randomization (MR).

METHODS

Genome-wide association studies in UK Biobank included 349 376 individuals and successfully discovered single-nucleotide polymorphisms linked to consumption of one cup of tea per day. Summary statistics from the Chronic Kidney Disease Genetics consortium included 13 179 cases and 750 634 controls for gout. Two-sample MR analyses were used to evaluate the relationship between tea consumption and gout risk. The inverse-variance weighted (IVW) method was used for primary analysis, and sensitivity analyses were also conducted to validate the potential causal effect.

RESULTS

In this study, the genetically predicted increase in tea consumption per cup was associated with a lower risk of gout in the IVW method (OR: 0.90; 95% CI: 0.82-0.98). Similar results were found in weighted median methods (OR: 0.88; 95% CI: 0.78-1.00), while no significant associations were found in MR-Egger (OR: 0.89; 95% CI: 0.71-1.11), weighted mode (OR: 0.80; 95% CI: 0.65-0.99), and simple mode (OR: 1.01; 95% CI: 0.75-1.36). In addition, no evidence of pleiotropy was detected by MR-Egger regression (P=0.95) or MR-PRESSO analysis (P=0.07).

CONCLUSION

This study provides evidence for the daily consumption of an extra cup of tea to reduce the risk of gout.

Environmental Triggers of Hyperuricemia and Gout

Gout is the most prevalent type of inflammatory arthritis worldwide and environmental factors contribute to hyperuricemia and risk for gout flare. Causes of hyperuricemia include increased purine consumption from meat, alcohol, and high fructose corn syrup as well as medications such as cyclosporine, low-dose aspirin, or diuretics. Triggers for gout flares include increased purine consumption and medication use such as urate lowering therapy and diuretics. Environmental exposures including lead exposure, particulate matter exposure, temperature fluctuations, and physiologic stress have been found to trigger flares. In the right clinical scenario, these factors should be considered when treating gout patients.

The Role of the "Anti-Inflammatory" Couple for the Management of Hyperuricemia With Deposition

INTRODUCTION

Gout is the most prevalent inflammatory crystal arthropathy worldwide and is a chronic disease requiring strict, lifelong adherence to drug therapy and healthy lifestyles. Gout has a heavy burden on the patient's sexual health, owing to the associated inflammatory status, long-term complications, and chronic pain; however, the effects of gout also extend to the partner's sexual health.

AIMS

We aimed to investigate how the presence of a partner could influence the complex interaction between risk factors for sexual dysfunctions in gout in order to define novel strategies to improve sexual health and disease management.

METHODS

Clinical and experimental data on the role of the couple in chronic diseases, as well as on the association between gout and sexual health, were searched through Pubmed.

MAIN OUTCOME MEASURES

Evidence from studies describing how the presence of a couple and leveraging sexual health can improve management and clinical outcomes for chronic diseases.

RESULTS

Treatment adherence can improve the sexual health of gout patients and their partners; likewise, by leveraging sexual health, it would be possible to promote better health-seeking behaviors, ultimately improving gout management.

CLINICAL IMPLICATIONS

Promoting awareness of the sexual health relevance of gout can potentially be a pivotal strategy to improve disease management and prevent the progression of sexual dysfunctions from subclinical to overt forms.

STRENGTHS AND LIMITATIONS

Identifying a bidirectional association between sexual health and disease management paves the way for improved disease control and can potentially prevent the development of sexual dysfunctions in couples affected by gout. However, the relevance of the couple has not been adequately addressed in gout management, and most evidence comes from other chronic diseases.

CONCLUSION

Improving gout management results in better sexual health, and vice-versa promoting better sexual health can improve disease control for gout. The presence of a partner improves the behavioral well-being of gout patients, with beneficial effects on both sexual health and gout management. Sansone A, Reisman Y, Meto S, et al. The Role of the "Anti-Inflammatory" Couple for the Management of Hyperuricemia With Deposition. Sex Med 2022;10:100562.

Association between serum uric acid levels and colonic diverticulosis in terms of sex

Background

The association between elevated serum uric acid (UA) levels and the risk of developing colonic diverticulosis has not yet been investigated. Thus, this cross-sectional study aimed to examine this correlation in individuals from Taiwan.

Methods

From Jan. 1, 2010, to Dec. 31, 2016., approximately 5,605 patients (aged >20 years) from Tri-Service General Hospital who met the inclusion criteria according to colonoscopy and laboratory test findings were included in this research. The correlation between serum UA levels and colonic diverticulosis was investigated via regression analyses.

Results

Participants with elevated serum UA levels were at a higher risk of colonic diverticulosis. The area under the curve for serum UA levels was significantly higher in women than in men (0.651 [95% confidence interval: 0.596–0.707] vs. 0.55 [0.507–0.593]). There were specific trends in female-specific indicators for colonic diverticulosis across increasing quartiles of serum UA levels.

Conclusions

Patients with elevated serum UA levels should be cautious regarding the development of colonic diverticulosis disorder in female. Moreover, prospective studies may provide additional information on the relationship between elevated serum UA levels and colonic diverticulosis.

Prevalence of hyperuricemia and the population attributable fraction of modifiable risk factors: Evidence from a general population cohort in China

Data on updated hyperuricemia prevalence in Beijing-Tianjin-Hebei (BTH) region in China, which is one of the world-class urban agglomerations, is sparse. Overweight/obesity, alcohol consumption, smoking and sedentary behavior are modifiable risk factors (MRFs) for elevated serum uric acid (SUA), but their population attributable fractions (PAFs) for hyperuricemia is still unclear. Using baseline data from the BTH Physical Examination General Population Cohort, we calculated the crude- and adjusted-prevalence of hyperuricemia based on the 30,158 participants aged 18–80 years. Hyperuricemia was defined as SUA >420 μmol/L in men and >360 μmol/L in women, or currently use of uric acid lowering drugs. Overweight/obesity, alcohol consumption, smoking and sedentary behavior were considered as MRFs and their adjusted PAFs were estimated. The prevalence of hyperuricemia was 19.37%, 27.72% in men and 10.69% in women. The PAFs and 95% confidence intervals for overweight, obesity were 16.25% (14.26–18.25%) and 12.08% (11.40–12.77%) in men, 13.95% (12.31–15.59%) and 6.35% (5.97–6.74%) in women, respectively. Alcohol consumption can explain 4.64% (2.72–6.56%) hyperuricemia cases in men, but with no statistical significance in women. Cigarette smoking contributed to 3.15% (1.09–5.21%) cases in men, but a much lower fraction in women (0.85%, 0.49–1.22%). Compared with sedentary time <2 h per day, the PAFs of 2–4 h, 4–6 h, and more than 6 h per day were 3.14% (1.34–4.93%), 6.72% (4.44–8.99%) and 8.04% (4.95–11.13%) in men, respectively. Sedentary time was not found to be associated with hyperuricemia in women. These findings concluded that hyperuricemia is prevalent in this representative Chinese adult general population with substantial sex difference. Four MRFs (overweight/obesity, alcohol consumption, cigarette smoking and sedentary behavior) accounted for a notable proportion of hyperuricemia cases. The PAF estimations enable the exploration of the expected proportion of hyperuricemia cases that could be prevented if the MRFs were removed, which warrants the public health significance of life-style intervention.

Genetically predicted physical activity is associated with lower serum urate concentrations

BACKGROUND

Physical activity (PA) is considered to play an important role in the reduced gout risk. However, the epidemiology results are inconsistent and causality remains unclear.

OBJECTIVE

To investigate the causal relationship of PA with serum urate concentrations and gout risk by a bidirectional Mendelian randomization (MR) approach.

METHOD

Two genome-wide association studies (GWASs) from UK Biobank were used to identify instrumental variables for self-reported moderate-to-vigorous PA (including 377,234 European individuals), accelerometer-measured 'average acceleration' PA (including 91,084 European individuals) and accelerometer-measured overall PA (including 91,105 European individuals). The summary data for serum urate (including 110,347 European individuals) and gout (including 2,115 cases and 67,259 controls) were derived from GWAS of Global Urate Genetics Consortium. Moreover, reverse direction Mendelian randomization study was conducted. The inverse-variance weighted, weighted median, Mendelian randomization Egger regression, simple mode and weighted mode and Mendelian Randomization Pleiotropy RESidual Sum and Outlier were methods we performed.

RESULT

Genetic predisposition to accelerometer-measured 'average acceleration' PA [beta = -0.038; 95% confidence interval (CI) = -0.060,-0.015; P = 0.001] and accelerometer-measured overall PA (beta = -0.339; 95% CI = -0.522,-0.156; P = 2.8E-4) were significantly associated with decreased serum urate concentrations. Besides, there was no evidence supporting the causal association between PA and gout risk. In the reverse direction analysis, genetic predisposition to both urate and gout were not associated with PA being investigated.

CONCLUSIONS

In MR study, we found that PA may reduce serum urate concentrations but not the risk of gout. Moreover, serum urate concentrations and gout were not associated with PA.

The Interaction Between Dietary Fructose and Gut Microbiota in Hyperuricemia and Gout

With the worldwide epidemics of hyperuricemia and associated gout, the diseases with purine metabolic disorders have become a serious threat to human public health. Accumulating evidence has shown that they have been linked to increased consumption of fructose in humans, we hereby made a timely review on the roles of fructose intake and the gut microbiota in regulating purine metabolism, together with the potential mechanisms by which excessive fructose intake contributes to hyperuricemia and gout. To this end, we focus on the understanding of the interaction between a fructose-rich diet and the gut microbiota in hyperuricemia and gout to seek for safe, cheap, and side-effect-free clinical interventions. Furthermore, fructose intake recommendations for hyperuricemia and gout patients, as well as the variety of probiotics and prebiotics with uric acid-lowering effects targeting the intestinal tract are also summarized to provide reference and guidance for the further research.

Gout associated with reduced renal excretion of uric acid. Renal tubular disorder that nephrologists do not treat

Gout is recurrent inflammatory arthritis caused by the deposition of monosodium urate crystals in the joints. The risk factors that predispose to suffering from gout include non-modifiable factors such as gender, age, ethnicity and genetics, and modifiable factors such as diet and lifestyle. It has been shown that the heritability of uric acid levels in the blood is greater than 30%, which indicates that genetics play a key role in these levels. Hyperuricaemia is often a consequence of reduced renal urate excretion since more than 70% is excreted by the kidneys, mainly through the proximal tubule. The mechanisms that explain that hyperuricaemia associated with reduced renal urate excretion is, to a large extent, a proximal renal tubular disorder, have begun to be understood following the identification of two genes that encode the URAT1 and GLUT9 transporters. When they are carriers of loss-of-function mutations, they explain the two known variants of renal tubular hypouricaemia. Some polymorphisms in these genes may have an opposite gain-of-function effect, with a consequent increase in urate reabsorption. Conversely, loss-of-function polymorphisms in other genes that encode transporters involved in urate excretion (ABCG2, ABCC4) can lead to hyperuricaemia. Genome-wide association study (GWAS) methods have made it possible to locate new gout-related loci associated with reduced renal urate excretion (NIPAL1, FAM35A).

Healthy lifestyle counteracts the risk effect of genetic factors on incident gout: a large population-based longitudinal study

BACKGROUND

Risk genes linked to the development of gout have been identified, and lifestyle factors are related to gout risk. It remains unclear whether healthy lifestyle factors can mitigate the genetic risk of gout. Therefore, we aimed to explore whether and to what extent a healthy lifestyle can mitigate the risk of gout related to genetic factors.

METHODS

Within the UK Biobank, 416,481 gout-free participants (aged 37-74) were identified at baseline. Polygenic risk for gout was assessed and categorized as low (lowest tertile), middle (tertile 2), and high (highest tertile). Healthy lifestyle factors included no/moderate alcohol consumption, no smoking, physical activity, and a healthy diet. Participants were categorized into three groups according to their number of healthy lifestyle factors: unfavorable (0 or 1), intermediate (any 2), and favorable (3 or 4). Data were analyzed using Cox proportional hazard models.

RESULTS

Over the follow-up (median: 12.1 years), 6206 participants developed gout. Compared to low genetic risk, the hazard ratios (HRs) and 95% confidence intervals (CIs) of gout was 1.44 (1.35-1.54) for middle and 1.77 (1.66-1.89) for high genetic risk. The HRs (95% CIs) of gout were 0.63 (0.59-0.67) for a favorable lifestyle and 0.79 (0.75-0.85) for an intermediate lifestyle, compared to an unfavorable lifestyle. In joint effect analysis, compared to participants with low genetic predisposition and a favorable lifestyle, the HRs (95% CIs) of gout were 2.39 (2.12-2.70)/3.12 (2.79-3.52) in those with middle and high genetic predisposition plus unfavorable lifestyle profiles, and 1.53 (1.35-1.74)/1.98 (1.75-2.24) for those with middle and high genetic predisposition plus favorable lifestyle profiles, respectively. Moreover, compared to an unfavorable lifestyle, the HRs of gout related to a favorable lifestyle was 0.64 (95% CI, 0.56-0.73) for low genetic risk, 0.65 (95% CI, 0.58-0.72) for middle genetic risk, and 0.62 (95% CI, 0.57-0.69) for high genetic risk. There was a significant additive interaction between unfavorable lifestyle and high genetic risk on gout.

CONCLUSIONS

Healthy lifestyle was associated with a lower risk of gout and may attenuate the risk of gout related to genetic factors by almost a third.

The Relationship between Alcohol Consumption and Gout: A Mendelian Randomization Study

Gout is a disease that manifests itself after decades of following a high-purine diet, with excessive alcohol consumption assumed to be one of the main contributors to the development of the disease. This study performs a Mendelian randomization (MR) analysis to determine whether alcohol consumption causally affects the risk of developing both hyperuricemia and gout. The results indicate that genetically predicted drinks consumed per week have no causal effect on neither the risk of gout (p = 0.35), nor serum uric acid levels (p = 0.73). For MR analysis in the other direction, genetic risk of gout was significantly associated with drinks per week (p = 0.03). Furthermore, the results of the MR analysis were verified in a cohort of individuals diagnosed with hyperuricemia and gout, comprising of alcohol-consuming and alcohol-abstaining subgroups. When split by alcohol status, the serum uric acid levels failed to show a significant difference in both gout (p = 0.92) and hyperuricemia (p = 0.23) subgroups. Overall, the results suggest that increased alcohol consumption does not play a causal role in the development of gout.

Increased Impact of Serum Uric Acid on Arterial Stiffness and Atherosclerosis in Females

AIMS

Serum uric acid increases with metabolic disorders; however, whether the effects of uric acid on atherosclerosis are different in females and males has not been sufficiently evaluated. Therefore, this study compared the impact of uric acid on arterial stiffness and atherosclerosis between females and males.

METHODS

We enrolled 10196 untreated middle-aged subjects (46±8 years, 3021 females and 7175 males) who underwent periodic health check-ups. Serum uric acid levels were measured and arterial stiffness and atherosclerosis were assessed by the cardio-ankle vascular index (CAVI), carotid intima-media thickness (IMT), and plaque, using ultrasound imaging.

RESULTS

Females with increased arterial stiffness (CAVI ≥ 8.0) or carotid plaques had higher uric acid than those without (P＜0.0001), but males did not. In multivariable regression analyses including overall participants, uric acid was significantly associated with the CAVI, where sex interacted with uric acid. In sex-specific analyses, uric acid was significantly associated with the CAVI, but not with carotid IMT, in both sexes. However, logistic regression analyses revealed that serum uric acid was independently associated with the presence of carotid plaques in females. The exclusion of subjects with abdominal obesity or metabolic syndrome from the analysis did not alter the results in females.

CONCLUSIONS

Serum uric acid was significantly associated with the CAVI in both sexes, but the interaction of sex was confirmed and associated with a carotid plaque only in females. These findings support the increased impact of serum uric acid on arterial stiffness and atherosclerosis in females.

Hyperuricemia: Features of the Diet

The association of hyperuricemia (HU) with cardiovascular disease (CVD), diabetes, metabolic syndrome, and kidney disease has been demonstrated in numerous studies. НU is the main pathogenetic factor in the development of gout and is associated with an increase in overall and cardiovascular mortality. НU is included in the list of factors determining cardiovascular risk. According to epidemiological studies, there is a high prevalence of HU in the world and its increase in recent decades. A number of factors have been identified that contribute to the increased risk of НU. Non-modifiable factors include gender, age, genetic factors, and modifiable factors include diet and lifestyle. Nutritional unbalances, increased life expectancy, increased prevalence of obesity, and increased use of drugs (especially diuretics) are seen as contributing factors to the rise in НU. The review was carried out to summarize the available information on the effect of dietary habits, individual foods and nutrients on serum uric acid (SUA) levels and the risk of developing HU. The review presents the results of scientific studies demonstrating the relationship of НU with the consumption of foods rich in purines (offal, red meat, fish, seafood, legumes), alcohol consumption, drinks sweetened with fructose, coffee, dairy products, vegetables and fruits. Diet correction is an important and necessary step in the prevention and treatment of НU. The article reviews the basic principles of dietary management in HU and provides dietary recommendations for patients. For effective prevention and treatment of НU, a mandatory correction of the diet is required.

Gouty arthritis and kidney function outcomes and serum uric acid level variations in obese patients following bariatric surgery

Background

Obesity is an independent risk factor for chronic kidney disease (CKD) and is the strongest known modifiable risk factor for hyperuricemia and gout. We aimed to discover the outcome of serum uric acid (SUA), gouty arthritis, and kidney function in obese patients after bariatric surgery and possible links with BMI variations.

Methods

Retrospective study has been performed in National Hospital in Riyadh, KSA, between Jan. 2018 to Jan. 2020. We studied only 98 patients who met our inclusion criteria. Patients followed-up at 1 month (for gouty attack only) postoperative, 3 months postoperative, and 6 months postoperative for body mass index (BMI), serum creatinine, dipstick urinalysis, SUA, and estimated glomerular filtration rate (eGFR). Radiological studies, medical history, follow up radiological studies, and clinical follow up were obtained from the hospital data system.

Results

A total of 98 patients with mean eGFR were 90.65 ± 29.34 ml/min/1.73 m2, mean SUA 5.56 ± 1.84 mg/dl, and mean BMI was 45.28 ± 7.25 kg/m2, at surgery. Mean BMI had decreased significantly to 38.52 ± 6.05 kg/m2 at 3 months and to 34.61 ± 5.35 kg/m2 at 6 months (P < 0.001). The mean GFR had improved significantly (99.14 ± 23.32 ml/min/1.73 m2) at 6 months (P < 0.001). Interestingly, proteinuria had resolved in 17 patients out of 23 patients at 6 months. Number of gouty attacks was decreased during the first month post-surgery (P < 0.001). SUA level was significantly decreased (4.32 ± 1.27 mg/dl) (P < 0.001). SUA showed significant negative correlations with eGFR at 3 months and positively significant correlations with BMI at 3 and 6 months. By multinomial logistic regression, BMI and initial eGFR were the independent predictive variables for the outcome of eGFR at 6 months, while male gender and initial SUA were the independent predictive variables on the outcome of SUA at 6 months. Postoperatively in gouty arthritis patients, the number of joints affected, patient global VAS assessment, and number of gouty attacks were significantly reduced (P < 0.001).

Conclusion

Bariatric surgery has been associated with reduction of BMI and subsequently reduction of SUA levels, gouty attacks, and improvement of eGFR.

The Effect of Body Weight and Alcohol Consumption on Hyperuricemia and Their Population Attributable Fractions: A National Health Survey in China

INTRODUCTION

The prevalence of hyperuricemia (HUA) is increasing worldwide; understanding of population attributable fraction of modifiable risk factors (MRFs) is important for disease prevention. Given the sparse evidence on how MRFs influence HUA in mainland China, we aimed to explore the effect of excess body weight and alcohol consumption and their population attributable fractions of HUA based on a national survey in mainland China.

METHODS

Using data from the China National Health Survey which included 31,746 Han Chinese of 20-80 years of age from 10 provinces, we estimated the prevalence and MRFs (overweight/obesity and alcohol consumption) of HUA. HUA was defined as serum uric acid >417 μmol/L in men and >340 μmol/L in women. Restricted cubic-spline models were used to demonstrate the linear and nonlinear associations between exposures and HUA. The adjusted population attributable risk (PAR) was calculated to understand the relative importance of each MRF.

RESULTS

The prevalence of HUA was 25.1% in men and 15.9% in women. The population fraction of HUA cases that could be avoided by weight loss was 20.6% (19.3%-22.0%) in men and 18.1% (17.1%-19.0%) in women. The PAR of alcohol consumption was 12.8% (8.5%-17.1%) in men. Participants from Southwest China (Yunnan) had the highest HUA prevalence (47.9% in men and 29.9% in women) but with lower PAR of MRFs, especially in men (16.7%). Subjects in North China had lower HUA prevalence but higher PAR of MRFs. Around 44.8% male HUA cases in Inner Mongolia (26.9% of HUA prevalence) and 37.7% cases in Heilongjiang (34.4% of HUA prevalence) were attributable to overweight/obesity and alcohol consumption.

CONCLUSION

There are significant sex and geographic difference on PAR of HUA due to MRFs. More tailored prevention strategies are needed to prevent HUA through weight loss and reduction of alcohol consumption.

Impact of adiposity on risk of female gout among those genetically predisposed: sex-specific prospective cohort study findings over >32 years

OBJECTIVES

To evaluate the joint (combined) association of excess adiposity and genetic predisposition with the risk of incident female gout, and compare to their male counterparts; and determine the proportion attributable to body mass index (BMI) only, genetic risk score (GRS) only, and to their interaction.

METHODS

We prospectively investigated potential gene-BMI interactions in 18 244 women from the Nurses' Health Study and compared with 10 888 men from the Health Professionals Follow-Up Study. GRS for hyperuricaemia was derived from 114 common urate-associated single nucleotide polymorphisms.

RESULTS

Multivariable relative risk (RR) for female gout was 1.49 (95% CI 1.42 to 1.56) per 5 kg/m² increment of BMI and 1.43 (1.35 to 1.52) per SD increment in the GRS. For their joint association of BMI and GRS, RR was 2.18 (2.03 to 2.36), more than the sum of each individual factor, indicating significant interaction on an additive scale (p for interaction <0.001). The attributable proportions of joint effect for female gout were 42% (37% to 46%) to adiposity, 37% (32% to 42%) to genetic predisposition and 22% (16% to 28%) to their interaction. Additive interaction among men was smaller although still significant (p interaction 0.002, p for heterogeneity 0.04 between women and men), and attributable proportion of joint effect was 14% (6% to 22%).

CONCLUSIONS

While excess adiposity and genetic predisposition both are strongly associated with a higher risk of gout, the excess risk of both combined was higher than the sum of each, particularly among women.

Expanding the role of Australian community dietitians in gout management

AIM

Gout is a common form of inflammatory arthritis with suboptimal management. Management guidelines for gout highlight the importance of both pharmacological and non-pharmacological treatments. Dietitians can potentially assist in improving gout's associated dietary and lifestyle factors, and thereby play a role in improving its management. The aim of this study was to investigate perspectives of Australian community dietitians on whether their role in gout management could be expanded to improve management and treatment of gout.

METHOD

A snowballing recruitment strategy was used. Dietitians known to the research team were invited to participate and then they suggested further dietitians. Semi-structured interviews (one-on-one) were conducted with 16 dietitians. The focus was on their experiences of contributing to the management of gout, including any barriers and facilitators experienced. Interviews were transcribed verbatim and independently analyzed by 2 reviewers to identify themes.

RESULTS

The main reported role of dietitians in gout management was providing patient education. An identified facilitator was dietitians' understanding of gout and its dietary management. Barriers included the emphasis placed on medications for treatment by clinicians and patients, consultation costs, limitations in the evidence for the efficacy of dietary changes and lack of specific training in gout for dietitians. Dietitians predominantly managed the other metabolic conditions commonly associated with gout.

CONCLUSION

Currently, the role dietitians play in gout management is limited. However, dietitians have the potential to take on larger roles in gout education and can also indirectly contribute by way of management of commonly associated comorbidities in gout patients.

Gout associated with reduced renal excretion of uric acid. Renal tubular disorder that nephrologists do not treat

Gout is recurrent inflammatory arthritis caused by the deposition of monosodium urate crystals in the joints. The risk factors that predispose to suffering from gout include non-modifiable factors such as gender, age, ethnicity and genetics, and modifiable factors such as diet and lifestyle. It has been shown that the heritability of uric acid levels in the blood is greater than 30%, which indicates that genetics play a key role in these levels. Hyperuricaemia is often a consequence of reduced renal urate excretion since more than 70% is excreted by the kidneys, mainly through the proximal tubule. The mechanisms that explain that hyperuricaemia associated with reduced renal urate excretion is, to a large extent, a proximal renal tubular disorder, have begun to be understood following the identification of two genes that encode the URAT1 and GLUT9 transporters. When they are carriers of loss-of-function mutations, they explain the two known variants of renal tubular hypouricaemia. Some polymorphisms in these genes may have an opposite gain-of-function effect, with a consequent increase in urate reabsorption. Conversely, loss-of-function polymorphisms in other genes that encode transporters involved in urate excretion (ABCG2, ABCC4) can lead to hyperuricaemia. Genome-wide association study (GWAS) methods have made it possible to locate new gout-related loci associated with reduced renal urate excretion (NIPAL1, FAM35A).

Different Food Sources of Fructose-Containing Sugars and Fasting Blood Uric Acid Levels: A Systematic Review and Meta-Analysis of Controlled Feeding Trials

BACKGROUND

Although fructose as a source of excess calories increases uric acid, the effect of the food matrix is unclear.

OBJECTIVES

To assess the effects of fructose-containing sugars by food source at different levels of energy control on uric acid, we conducted a systematic review and meta-analysis of controlled trials.

METHODS

MEDLINE, Embase, and the Cochrane Library were searched (through 11 January 2021) for trials ≥ 7 days. We prespecified 4 trial designs by energy control: substitution (energy-matched replacement of sugars in diets); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced in diets) designs. Independent reviewers (≥2) extracted data and assessed the risk of bias. Grading of Recommendations, Assessment, Development, and Evaluation was used to assess the certainty of evidence.

RESULTS

We included 47 trials (85 comparisons; N = 2763) assessing 9 food sources [sugar-sweetened beverages (SSBs), sweetened dairy, fruit drinks, 100% fruit juice, fruit, dried fruit, sweets and desserts, added nutritive sweetener, and mixed sources] across 4 energy control levels in predominantly healthy, mixed-weight adults. Total fructose-containing sugars increased uric acid levels in substitution trials (mean difference, 0.16 mg/dL;  95% CI:  0.06-0.27 mg/dL;  P = 0.003), with no effect across the other energy control levels. There was evidence of an interaction by food source: SSBs and sweets and desserts increased uric acid levels in the substitution design, while SSBs increased and 100% fruit juice decreased uric acid levels in addition trials. The certainty of evidence was high for the increasing effect of SSBs in substitution and addition trials and the decreasing effect of 100% fruit juice in addition trials and was moderate to very low for all other comparisons.

CONCLUSIONS

Food source more than energy control appears to mediate the effects of fructose-containing sugars on uric acid. The available evidence provides reliable indications that SSBs increase and 100% fruit juice decreases uric acid levels. More high-quality trials of different food sources are needed. This trial was registered at clinicaltrials.gov as NCT02716870.

Effects of a Behavioral Weight Loss Intervention and Metformin Treatment on Serum Urate: Results from a Randomized Clinical Trial

Background: Lower body mass index (BMI) has been associated with lower serum urate (SU), but only in observational studies. We sought to determine the effects of behavioral weight loss and metformin treatment on SU in a randomized trial. Methods and Findings: The Survivorship Promotion In Reducing IGF-1 Trial (SPIRIT) was a parallel three-arm randomized controlled trial of overweight/obese adult cancer survivors without gout at a single center in Maryland, United States. Participants were randomized to: (1) coach-directed weight loss (behavioral telephonic coaching), (2) metformin (up to 2000 mg daily), or (3) self-directed weight loss (informational brochures; reference group). SU and BMI were assessed at baseline and at 3, 6, and 12 months post-randomization. The 121 participants had a mean ± standard deviation (SD) age of 60 ± 9 years, 79% were female, and 45% were Black. At baseline, BMI was 35 ± 5 kg/m², and SU was 5.6 ± 1.3 mg/dL. Compared to the self-directed group, at 12 months, the coach-directed group reduced BMI by 0.9 kg/m² (95% confidence interval (CI): -1.5, -0.4) and metformin reduced BMI by 0.6 kg/m² (95% CI: -1.1, -0.1). However, compared to the self-directed group, the coach-directed group unexpectedly increased SU by 0.3 mg/dL (95% CI: 0.05, 0.6), and metformin non-significantly increased SU by 0.2 mg/dL (95% CI: -0.04, 0.5); these effects were attenuated when analyses included change in estimated glomerular filtration rate (eGFR). Conclusions: In this randomized trial of cancer survivors without gout, reductions in BMI either increased or did not change SU, potentially due to effects on eGFR. These results do not support a focus on BMI reduction for SU reduction; however, long-term studies are needed. ClinicalTrials.gov Registration: NCT02431676.

Genetic-epidemiological analysis of hypouricemia from 4,993 Japanese on nonfunctional variants of URAT1/SLC22A12 gene

OBJECTIVES

Up to 0.3% of Japanese have hypouricemia. Most cases appear to result from a hereditary disease, renal hypouricemia (RHUC), which causes exercise-induced acute kidney injury and urolithiasis. However, to what extent RHUC accounts for hypouricemia is not known. We therefore investigated its frequency and evaluated its risks by genotyping a general Japanese population.

METHODS

A cohort of 4,993 Japanese was examined by genotyping the nonfunctional variants R90H (rs121907896) and W258X (rs121907892) of URAT1/SLC22A12, the two commonest causative variants of RHUC in Japanese.

RESULTS

Participants' fractional excretion of uric acid and risk allele frequencies markedly increased at lower SUA levels. Ten participants (0.200%) had a serum uric acid (SUA) level of ≤ 2.0 mg/dl and nine had R90H or W258X, likely to have RHUC. Logistic regression analysis revealed these URAT1 variants to be significantly and independently associated with the risk of hypouricemia and mild hypouricemia (SUA ≤ 3.0 mg/dl) as well as sex, age, and BMI, but these URAT1 variants were the only risks in the hypouricemia population (SUA ≤ 2.0 mg/dl). W258X was only the risk in males with SUA of ≤ 3.0 mg/dl.

CONCLUSION

Our study accurately reveals the prevalence of RHUC and provides genetic evidence for its definition (SUA ≤ 2.0 mg/dl). We also show that individuals with SUA of ≤ 3.0 mg/dl, especially males, are prone to RHUC. Our findings will help to promote a better epidemiological understanding of RHUC as well as more accurate diagnosis, especially in males with mild hypouricemia.

Dietary and Lifestyle-Centered Approach in Gout Care and Prevention

PURPOSE OF REVIEW

We aim to provide a comprehensive review of the available literature to inform dietary recommendations for patients with gout and hyperuricemia that have the potential to simultaneously lower serum urate and reduce gout morbidity while addressing gout's cardiometabolic comorbidities holistically.

RECENT FINDINGS

The global burden of gout is rising worldwide, particularly in developed nations as well as in women. Patients with gout are often recommended to follow a low-purine (i.e., low-protein) diet to avoid purine-loading. However, such an approach may lead to increased consumption of unhealthy carbohydrates and fats, which in turn contributes to metabolic syndrome and subsequently raises serum urate levels and leads to adverse cardiovascular outcomes. On the other hand, several well-established diets for cardiometabolic health, such as the Mediterranean and Dietary Approaches to Stop Hypertension (DASH) diets, in combination with weight loss for those who are overweight or obese, also have beneficial effects on relevant gout endpoints. It is important to recognize not only the direct effect of diet on hyperuricemia and gout, but its mediated effect through obesity and insulin resistance. Thus, several preeminent healthy dietary patterns that have proven benefits in cardiometabolic health have the power to holistically address not only gout morbidity but also its associated comorbidities that lead to premature mortality among patients with gout.

Second-Hand Smoke and Its Synergistic Effect with a Body-Mass Index of >24.9 kg/m2 Increase the Risk of Gout Arthritis in Indonesia

To analyze the association between smoking status (active smoking and exposure to Second-Hand Smoking (SHS)) and the synergistic effect of smoking status and BMI with gout risk, a community-based case-control design was undertaken among 385 participants, including 304 healthy controls and 81 gout patients from seven community health services. Adjusted Odd Ratios (AORs) and 95% Confidence Interval (CIs) of gout for active smoking and SHS were 3.26 (95% CI = 1.07~9.90) and 4.67 (95% CI = 2.18~10.00) compared to non-smokers. Time-dependent manner of active smoking and SHS significantly increased gout risk with AORs and 95% CIs of 5.95 (1.41~25.03) and 10.12 (3.51~29.14). Dose-dependency of active smokers and SHS showed AORs and 95% CIs of 5.15 (1.28~20.63) and 4.37 (1.33~14.28). Smoking 20 cigarettes (one pack) per day for one year is equivalent to one pack-year. Active smoking >20 pack-year and SHS > 26.5 pack-year increased gout risk with AORs and 95% CIs of 7.18 (1.53~33.67) and 9.95 (3.64~27.22). Participants who smoked (active smoking and SHS) and with Body Mass Index (BMI) of > 24.9 kg/m2 synergistically increased gout risk, with an AOR of 9.65 and 95% CI of 3.25~28.65, compared to BMI ≤ 24.9 kg/m2 and non-smoker. Smoking status (active smoking and SHS) and the synergistic effect of smoking status and BMI increased gout risk in Indonesia.

The role of alcohol consumption in pathogenesis of gout

Alcohol is recognized a risk factor for increased uric acid and gout flare. The aim of the study was to review the literature in order to find out what is the role of alcohol consumption in pathogenesis of gout. A search in PubMed, Google Scholar, Medline Complete database was performed in January 2021. The databases were searched with the phrases: "uric acid and alcohol," "alcoholic beverages and gout," "hyperuricemia and alcoholic beverages consumption" published between 2000 and 2021. A total of 2642 results were found. The 99 non-duplicate citations were screened. Then 81 articles were excluded after abstract screen. After that 18 articles were retrieved. Eventually 15 articles were included for systematic review. Several authors see the positive correlation between beer or distilled spirits consumption and gout. Some include wine to the list of triggers of gout. Others state that moderate wine consumption protects from gout attacks due to antioxidants and phytoestrogen content. Majority noticed the relationship between episodic alcohol consumption and gout attacks. Episodic alcohol intake triggers gout attacks, regardless of type of alcohol. Thus, individuals with established gout and pre-existing risk factors should limit all types of alcohol intake to prevent gout episodes.

Risk of gout among Taiwanese adults with ALDH-2 rs671 polymorphism according to BMI and alcohol intake

BACKGROUND

Gout stems from both modifiable and genetic sources. We evaluated the risk of gout among Taiwanese adults with aldehyde dehydrogenase-2 (ALDH2) rs671 single nucleotide polymorphism (SNP) according to body mass index (BMI) and alcohol drinking.

METHODS

We obtained information of 9253 individuals having no personal history of cancer from the Taiwan Biobank (2008-2016) and estimated the association between gout and independent variables (e.g., rs671, BMI, and alcohol drinking) using multiple logistic regression.

RESULTS

Alcohol drinking and abnormal BMI were associated with a higher risk of gout whereas the rs671 GA+AA genotype was associated with a lower risk. The odds ratios (ORs) and 95% confidence intervals (CIs) were 1.297 and 1.098-1.532 for alcohol drinking, 1.550 and 1.368-1.755 for abnormal BMI, and 0.887 and 0.800-0.984 for GA+AA. The interaction between BMI and alcohol on gout was significant for GG (p-value = 0.0102) and GA+AA (p-value = 0.0175). When we stratified genotypes by BMI, alcohol drinking was significantly associated with gout only among individuals with a normal BMI (OR; 95% CI = 1.533; 1.036-2.269 for GG and 2.109; 1.202-3.699 for GA+AA). Concerning the combination of BMI and alcohol drinking among participants stratified by genotypes (reference, GG genotype, normal BMI, and no alcohol drinking), the risk of gout was significantly higher in the following categories: GG, normal BMI, and alcohol drinking (OR, 95% CI = 1.929, 1.385-2.688); GG, abnormal BMI, and no alcohol drinking (OR, 95% CI, = 1.721, 1.442-2.052); GG, abnormal BMI, and alcohol drinking (OR, 95% CI = 1.941, 1.501-2.511); GA+AA, normal BMI, and alcohol drinking (OR, 95% CI = 1.971, 1.167-3.327); GA+AA, abnormal BMI, and no alcohol drinking (OR, 95% CI = 1.498, 1.256-1.586); and GA+AA, abnormal BMI, and alcohol drinking (OR, 95% CI = 1.545, 1.088-2.194).

CONCLUSIONS

Alcohol and abnormal BMI were associated with a higher risk of gout, whereas the rs671 GA+AA genotype was associated with a lower risk. Noteworthy, BMI and alcohol had a significant interaction on gout risk. Stratified analyses revealed that alcohol drinking especially among normal-weight individuals might elevate the risk of gout irrespective of the genotype.

Incident gout and weight change patterns: a retrospective cohort study of US adults

BACKGROUND

Although the relationship between obesity and incident gout has been clarified, the influence of weight changes during the transition from early adulthood to midlife and the different weight change patterns in specific age ranges on the incidence of gout in later life remain unknown. Therefore, we aimed to investigate the association between weight change patterns across adulthood and incident gout.

METHODS

Using data from the National Health and Nutrition Examination Survey (NHANES), we categorized individuals into four weight change patterns: those who remained obese (stable obese), those who moved from a non-obese body mass index (BMI) to an obese BMI (gaining), those who moved from an obese BMI to a non-obese BMI (losing), and those who remained non-obese (stable non-obese). Incident gout reflected its occurrence over the 10-year follow-up from the recalled midlife weight measure to the time of this survey. Hazard ratios (HRs) and 95% confidence intervals relating weight change patterns to incident gout over the 10-year follow-up period were calculated using Cox models adjusted for covariates. The hypothetical population attributable fraction (PAF) for the weight change patterns was calculated.

RESULTS

Among our sample of adults aged 40-74 years at their midlife weight measure (n = 11,079), 320 developed gout. The highest risk of incident gout was found for participants with the stable obese pattern (HR 1.84; 1.08-3.14) and not for participants who remained stable non-obese during adulthood. Moreover, gaining weight was a significant risk factor for incident gout (HR 1.65; 1.19-2.29). No significant associations were found between losing weight change patterns and the risk of gout during the study period. If participants who gained weight had become non-obese during the 10-year follow-up, an estimated 3.2% (95% CI 0-6.3) of observed gout cases could have been averted. In addition, if the population had maintained a normal BMI, 32.9% (95% CI 18.2-44.9) cases could have been prevented during the 10 years.

CONCLUSIONS

Gaining weight over adulthood was associated with an increased risk of gout. These findings have highlighted that maintaining non-obese weight and weight loss across adulthood is essential for the prevention and treatment of gout in adult life.

Gicht – auch eine Frage des Lebensstiles

Mit steigenden Harnsäurewerten steigt das Risiko einer Gicht. Da die Harnsäure-Homöostase von zahlreichen Lebensstilfaktoren beeinflusst wird, ist das Auftreten einer Gicht fast immer auch mit der Lebensweise assoziiert. Lange schon ist bekannt, dass die Zufuhr purinreicher Lebensmittel (z. B. Fleisch, Meeresfrüchte) über vermehrte Harnsäurebildung aus exogen zugeführten Purinen zu Gichtanfällen führen kann. Auch Fruktose-haltige Getränke haben über einen vermehrten Abbau von ATP bei der Verstoffwechslung von Fruktose eine Hyperurikämie zur Folge, wogegen bei vermehrter Alkoholzufuhr und Adipositas eine verminderte renale Harnsäureausscheidung für die Hyperurikämie ursächlich ist. Einige Lebensmittel (z. B. Milch, Kaffee) scheinen einen harnsäuresenkenden Effekt zu haben und können Patienten explizit empfohlen werden. Mit Blick auf den Lebensstil spielen jedoch nicht nur Ernährungsfaktoren (Lebensmittel) eine wichtige Rolle. So kommt es beim aktuell sehr populären Heilfasten durch die entstehende Ketose und häufig gleichzeitig zu geringer Flüssigkeitszufuhr zu einer verminderten Harnsäureausscheidung über die Niere und konsekutiv Harnsäureanstieg. Auch Extremsport wie Marathon stellt aufgrund der katabolen Stoffwechsellage (Ketose) und hohen mechanischen Belastung (Mikrotraumata) bereits arthrotisch vorgeschädigter Gelenke einen Risikofaktor für das gehäufte Auftreten von Gichtanfällen dar. Patienten mit einer Hyperurikämie sollten als Basismaßnahme immer über eine mögliche Ernährungsumstellung beraten werden, zumal die Hyperurikämie eng mit dem metabolischen Syndrom assoziiert ist, häufigen Stoffwechselkrankheiten wie Diabetes mellitus, Hyperlipidämien und Adipositas, die ebenfalls durch eine Lebensstilmodifikation günstig zu beeinflussen sind. Eine manifeste (langjährige) Gicht kann allerdings durch eine alleinige Ernährungsumstellung nur selten erfolgreich behandelt werden. Der Zusammenhang zwischen Lebensstil und Gicht ist seit Jahrhunderten bekannt. Leider beschränken sich die wenigen Studien zu diesem Thema meist auf epidemiologische Erhebungen, über die in dieser Arbeit eine Übersicht gegeben werden soll.

Global, regional and national burden of gout, 1990-2017: a systematic analysis of the Global Burden of Disease Study

OBJECTIVES

The burden of gout has been increasing globally. However, little is known about the global, regional and national distribution and time trend of this disease. We present a comprehensive analysis of the Global Burden of Disease Study 2017 on gout burden estimates for 195 countries or territories between 1990 and 2017.

METHODS

Age-standardized prevalence and disability-adjusted life-years of gout were reported between 1990 and 2017 in 195 countries and territories, and associations between these estimates and sociodemographic index (SDI) were further explored. Total and annual percent change between 1990 and 2017 were calculated to quantify the time trends of gout burden.

RESULTS

Age-standardized prevalence rates (95% uncertainty interval) per 100 000 persons were 790.90 (706.10-881.90) and 253.49 (225.69-284.02) in 2017 in males and females, respectively. The annual percent change in age-standardized prevalence (males, 0.22%; females, 0.38%) and disability-adjusted life-years (males, 0.21%; females, 0.38%) of gout increased every year from 1990 to 2017, globally. The highest increase was detected in high-SDI countries, especially in high-income North America. A non-linear association was observed between burden of gout and SDI, with the lowest estimates of gout burden when SDI value was about 0.6. High BMI was the leading risk factor for the burden of gout.

CONCLUSION

These study results suggest a globally rising trajectory of gout burden between 1990 and 2017. More effective interventions, such as detailed and intensive dietary managements and other prevention strategies for reducing obesity, should be carried out to reverse this trend, especially in females and high-SDI countries.

Do Serum Urate-Associated Genetic Variants Differentially Contribute to Gout Risk According to Body Mass Index? Analysis of the UK Biobank

OBJECTIVE

To examine whether urate-associated genetic variants differ in their influence on gout risk according to body mass index (BMI).

METHODS

This research was conducted using the UK Biobank Resource (n = 358,728). Participants were divided into 3 groups: BMI <25 kg/m² (low/normal), BMI ≥25 kg/m² -<30 kg/m² (overweight), and BMI ≥30 kg/m² (obese). Gene-BMI interactions for gout association were tested by logistic regression using a urate genetic risk score (GRS).

RESULTS

Compared to participants with a GRS less than the mean, the prevalence of gout was higher in those with a GRS greater than or equal to the mean in the low/normal BMI group (0.27% versus 0.77%), in the overweight BMI group (1.02% versus 3.02%), and in the obese BMI group (2.49% versus 6.23%). A GRS greater than or equal to the mean was positively associated with gout compared to a GRS less than the mean in the low/normal BMI group (odds ratio [OR] 2.89 [95% confidence interval (95% CI) 2.42-3.47]), in the overweight BMI group (OR 3.09 [95% CI 2.84-3.36]), and in the obese BMI group (OR 2.65 [95% CI 2.46-2.86]). There was a mildly attenuated effect of the GRS on gout risk in the obese BMI group compared to the overweight BMI group, but no difference in the effect of the GRS between the low/normal BMI and overweight BMI groups, nor between the low/normal BMI and obese BMI groups.

CONCLUSION

The association of a urate GRS with gout is mildly attenuated in obese individuals compared to overweight individuals. However, genetic variants have a strong effect on gout risk in those with overweight and obese BMIs, with an effect similar to that observed in low/normal BMI.

Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008-2012)

Background

Hyperuricemia predisposes to gout, which may result in tophi, kidney stones, or urate nephropathy even kidney failure. Many metabolic risk factors and disorders has been recognized as a key risk factor contributing to development of hyperuricemia.

Aim

To determine the prevalence of hyperuricemia and its association with adiposity and dyslipidemia.

Methods

We recruited non-hospitalized participants (aged ≥35 years) in Xinjiang, a northwest part of China based on the Cardiovascular Risk Survey (CRS 2008–2012). Information of general health status, seafood or internal organs intake and history of disease were obtained by using an interview-based questionnaire. The levels of serum uric acid (sUA) and creatinine and lipid profiles were measured. A multivariate logistic regression model was performed to assess the association between prevalence of hyperuricemia and adiposity and dyslipidemia.

Results

This study recruited 16,611 participants, and 14,618 was included (mean age of 50.5 ± 12.6 years, 46.6% was males). The study population comprised three ethnic groups with 39.4% of Han, 32.6% of Uygur and 28% of Kazakh Chinese. The overall prevalence of hyperuricemia was 9.1% (95% CI: 8.6 to 9.6) and it was11.8% in men was 6.7% in women. The three ethnic groups also had different hyperuricemia prevalence with 15.4% in Han, 4.6% in Uygur and 5.5% in Kazakh Chinese, which corresponding to a respective mean sUA levels of 306.2 ± 86.9, 249.4 ± 76.1 and 259.8 ± 78.7 μmol/L. Participants with diabetes, hypertension or hypertriglyceridemia and higher blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR), fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC) had higher levels of sUA (P < 0.001 respectively). Multivariate logistic regression analysis revealed that age, gender, ethnicity, drinking, obesity, waist circumference, TG (≥2.26 mmol/L), TC (≥6.22 mmol/L) are major risk factors for hyperuricemia. Compared to the 35–44-year age group [adjusted odds ratio (AOR) = 1], the risk of hyperuricemia increased 1.61-fold in the 65–74-year age group (AOR = 1.61, 95% CI: 1.34–1.91; P < 0.001), and 1.71-fold in the 75- and older age group (AOR = 1.71, 95% CI: 1.27–2.29; P < 0.001). There was a 1.45-fold higher risk of hyperuricemia in men (AOR = 1.45, 95% CI: 1.24–1.68; P < 0.001) compared to women. Further, the risk of hyperuricemia increased significantly with drinking (AOR = 1.36; 95% CI: 1.16–1.61; P < 0.001), overweight (AOR = 1.25; 95% CI: 1.06–1.48; P = 0.01), obesity (AOR = 1.28; 95% CI: 1.10–1.49; P < 0.001), waist circumference (AOR = 1.48; 95% CI: 1.24–1.78; P < 0.001), TC (≥6.22 mmol/L, AOR = 1.45; 95% CI: 1.19–1.75; P < 0.001), TG (≥2.26 mmol/L, AOR = 2.74; 95% CI: 2.39–3.14; P < 0.001).

Conclusions

These findings documented that the hyperuricemia is prevalent in the economically developing regions of northwest China. Hyperuricemia is associated with advanced age, male ender and general metabolic and cardiovascular risk factors. Obesity and dyslipidemia increase the risk of hyperuricemia.

The effects of fruit consumption in patients with hyperuricaemia or gout

The consumption of fructose has gained increased attention as a potential cause of hyperuricaemia since fructose metabolism produces urate as a byproduct. In addition to sucrose and high fructose corn syrup, fresh fruits also contain fructose, suggesting that patients with hyperuricaemia or gout might also avoid fresh fruit. However, the effect of fruits is complex. Some studies reported that fruit intake was associated with gout flares while other studies showed that fruits rather lowered the risk for gout. Thus, fruits should not be simply viewed as a source of fructose. The complexity of fruits is accounted for by several nutrients existing in fruits. Vitamin C, epicatechin, flavonols, potassium and fibre are all nutrients in fruits, and these factors could modify fructose and urate effects. In this review, we discuss clinical studies evaluating the effect of fruit and fruit juice intake on hyperuricaemia and gout, and propose potential mechanisms for how fruit may influence urate levels.

Population Impact Attributable to Modifiable Risk Factors for Hyperuricemia

OBJECTIVE

To examine modifiable risk factors in relation to the presence of hyperuricemia and to estimate the proportion of hyperuricemia cases in the general population that could be prevented by risk factor modification, along with estimates of the variance explained.

METHODS

Using data obtained from 14,624 adults representative of the US civilian noninstitutionalized population, we calculated adjusted prevalence ratios for hyperuricemia, population attributable risks (PARs), and the variance explained according to the following 4 factors: body mass index (BMI; ≥25 kg/m² ), alcohol intake, nonadherence to a Dietary Approaches to Stop Hypertension (DASH) diet, and diuretic use.

RESULTS

BMI, alcohol intake, adherence to a DASH-style diet, and diuretic use were all associated with serum urate levels and the presence of hyperuricemia in a dose-dependent manner. The corresponding PARs of hyperuricemia cases for overweight/obesity (prevalence 60%), nonadherence to a DASH-style diet (prevalence 82%), alcohol use (prevalence 48%), and diuretic use (prevalence 8%) were 44% (95% confidence interval [95% CI] 41%, 48%), 9% (95% CI 3%, 16%), 8% (95% CI 5%, 11%), and 12% (95% CI 11%, 14%), respectively, whereas the corresponding variances explained were 8.9%, 0.1%, 0.5%, and 5.0%. Our simulation study showed the variance nearing 0% as exposure prevalence neared 100%.

CONCLUSION

In this nationally representative study, 4 modifiable risk factors (BMI, the DASH diet, alcohol use, and diuretic use) could be used to individually account for a notable proportion of hyperuricemia cases. However, the corresponding serum urate variance explained by these risk factors was very small and paradoxically masked their high prevalences, providing real-life empirical evidence for its limitations in assessing common risk factors.

Genome-wide association study revealed novel loci which aggravate asymptomatic hyperuricaemia into gout

Objective

The first ever genome-wide association study (GWAS) of clinically defined gout cases and asymptomatic hyperuricaemia (AHUA) controls was performed to identify novel gout loci that aggravate AHUA into gout.

Methods

We carried out a GWAS of 945 clinically defined gout cases and 1003 AHUA controls followed by 2 replication studies. In total, 2860 gout cases and 3149 AHUA controls (all Japanese men) were analysed. We also compared the ORs for each locus in the present GWAS (gout vs AHUA) with those in the previous GWAS (gout vs normouricaemia).

Results

This new approach enabled us to identify two novel gout loci (rs7927466 of CNTN5 and rs9952962 of MIR302F) and one suggestive locus (rs12980365 of ZNF724) at the genome-wide significance level (p<5.0×10^–8). The present study also identified the loci of ABCG2, ALDH2 and SLC2A9. One of them, rs671 of ALDH2, was identified as a gout locus by GWAS for the first time. Comparing ORs for each locus in the present versus the previous GWAS revealed three ‘gout vs AHUA GWAS’-specific loci (CNTN5, MIR302F and ZNF724) to be clearly associated with mechanisms of gout development which distinctly differ from the known gout risk loci that basically elevate serum uric acid level.

Conclusions

This meta-analysis is the first to reveal the loci associated with crystal-induced inflammation, the last step in gout development that aggravates AHUA into gout. Our findings should help to elucidate the molecular mechanisms of gout development and assist the prevention of gout attacks in high-risk AHUA individuals.

Gender-specific risk factors for gout: a systematic review of cohort studies

BACKGROUND

Though gout is more prevalent in men than women, it remains unclear whether gender influences risk factors for incident gout. We aimed to systematically review all cohort studies examining risk factors for the development of gout by gender.

METHODS

MEDLINE, EMBASE, CINAHL and the Cochrane Library were searched from inception to March 2019. Risk factors for gout examined were: age, ethnicity, consumption of alcohol, meat, seafood, dairy products, purine-rich vegetables, coffee and fructose, vitamin C intake, the Dietary Approaches to Stop Hypertension (DASH) diet, metabolic syndrome, BMI, waist and chest circumference, waist-to-hip ratio, weight change, diabetes mellitus, dyslipidaemias, renal disease, psoriasis, hypertension, diuretic use and anti-diabetic medication. Cohort studies were included if examining (at least) one of these risk factors for gout in either gender in the general population or primary care. Sample characteristics from included articles and their reported risk estimates were described using narrative synthesis.

RESULTS

Thirty-three articles were included, 20 (60.6%)directly compared risk factors by gender, 10 (30.3%) used men-only samples, 3 (9.1%) used women-only samples. Articles comparing risk across genders found similar increases in most risk factors. However, in men, metabolic syndrome (Hazard Ratio (95% CI) 1.37(1.20-1.58)) presented a risk of incident gout compared to none in women (> 50 years 1.15(0.85-1.54); ≤50 years 1.29(0.76-2.17)). Compared to men, women showed greater associated risk with higher consumption of fish and shellfish (HR (95% CI) Men: 1.02 (0.86-1.22); Women 1.36 (1.12-1.65)).

CONCLUSIONS

Risk factors for developing gout did not typically differ between genders and therefore similar preventative advice can be provided. Exceptions were metabolic syndrome in men and excessive seafood consumption in women, but these singular articles need further examination and in general more research into the risk factors for gout which includes women is required.