Population Impact Attributable to Modifiable Risk Factors for Hyperuricemia

Choi, Hyon K.; McCormick, Natalie; Lu, Na; Sharan, K.; Yokose, Chio; Zhang, Yuqing

doi:10.1002/art.41067

Cited by 79 publications

(88 citation statements)

References 67 publications

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“…High body mass index (BMI) is an important risk factor for hyperuricaemia. A cross-sectional analysis of National Health and Nutrition Examination Survey (NHANES) III estimated that the population attributable risk of BMI > 25 kg/m 2 for hyperuricaemia is 40% [ 1 ]. In longitudinal studies, higher BMI is a risk factor for hyperuricaemia; in Japanese men, the hazard ratio for incident hyperuricaemia over 8 years was 1.19 for a BMI increase of 2.64 kg/m 2 [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of body mass index on serum urate and renal uric acid handling responses to an oral inosine load: experimental intervention study in healthy volunteers

et al. 2020

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Background High body mass index (BMI) is strongly associated with hyperuricaemia. It is unknown whether overweight and obesity influences serum urate primarily through increased urate production or reduced renal clearance of uric acid. The aim of this study was to determine the influence of BMI on the response to inosine, a purine nucleoside that functions as an intermediate in the purine salvage and degradation pathways. Methods Following an overnight fast, 100 healthy participants without gout attended a study visit. Blood and urine samples were taken prior to and over 180 min after 1.5 g oral inosine. Serum urate and fractional excretion of uric acid (FEUA) were analysed according to high BMI (≥ 25 kg/m2) and low/normal BMI (< 25 kg/m2) groups, and according to BMI as a continuous variable. Results Participants in the high BMI group (n = 52, mean BMI 30.8 kg/m2) had higher serum urate concentrations at baseline (P = 0.002) compared to those with low/normal BMI (mean BMI 21.8 kg/m2). However, the high BMI group had a smaller increase in serum urate following the inosine load (P = 0.0012). The two BMI groups had a similar FEUA at baseline (P = 0.995), but those in the high BMI group had a smaller increase in FEUA following the inosine (P = 0.0003). Similar findings were observed when analysing BMI as a continuous variable. Those with high BMI had a smaller increase in FEUA per increase in serum urate, compared to those with low BMI (P = 0.005). Conclusions In a fasting state, people with high BMI have elevated serum urate levels but similar FEUA values compared with those with low/normal BMI. Following a purine load, those with high BMI have an attenuated renal excretion of uric acid. These data, using an experimental method to dynamically assess human urate handling, suggest that people with high BMI have a higher renal capacity for uric acid reabsorption when fasted and following a dietary purine intake have reduced renal clearance. Trial registration Australia and New Zealand Clinical Trials Registry, ACTRN12615001302549, date of registration 30 November 2015.

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Section: Introductionmentioning

confidence: 99%

Effect of body mass index on serum urate and renal uric acid handling responses to an oral inosine load: experimental intervention study in healthy volunteers

et al. 2020

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“…It has been reported that alcohol intake is a modifiable risk factor for HUA. 35,36 Ethanol could inhibit the excretion of SUA by kidneys and accelerate the degradation of purine which eventually leads to the elevated SUA levels. 37 We also identified that some combinations of MetS components that made older adults at high risk of incident HUA.…”

Section: Discussionmentioning

confidence: 99%

<p>Metabolic Syndrome and 5-Year Incident Hyperuricemia Among Older Chinese Adults: A Community-Based Cohort Study</p>

Liu

Ma²,

et al. 2020

DMSO

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Background: There was a lack of studies focusing on older adults about the longitudinal association between metabolic syndrome (MetS) and hyperuricemia (HUA). We aimed to assess the association of baseline MetS and incident HUA among older Chinese adults, with a special focus on the associations between different combinations of MetS components and HUA. Methods: Data of 3247 Chinese adults aged 60 years or older included in a communitybased longitudinal cohort study were analyzed. Anthropometric examinations and collection of blood sample were conducted both at baseline and follow-up. HUA was defined as 7 mg/dl or above for men and 6 mg/dl or greater for women. MetS was assessed based on the National Cholesterol Education Program-Adult Treatment Panel III, and older adults with the presence of at least three of MetS components were considered as having MetS. Results: MetS and its components, including high blood pressure (BP), high body mass index, diabetes mellitus and high triglycerides, were significantly related to incident HUA. The association between high BP and incident HUA is strongest among the five MetS components. Among all combinations of MetS components, the group consisting of diabetes mellitus, high BP and high triglycerides had the highest odds for incident HUA (OR = 13.07, 95% CI = 4.95-34.54). Conclusion: MetS and its components, except for low high-density lipoprotein cholesterol, could increase the risk of HUA among community-dwelling older adults, and high BP may be the most important determinant.

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“…It activates the crystallization of uric acid in joints and extraarticular areas [1]. Elevated uric acid levels can lead to several diseases, including a painful type of arthritis called gout [2,3]. Some population studies showed that approximately 15-20% of people are affected [1], and, in the United States, it is found in about 3.9% of the population [4].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Association between Hyperuricemia and Periodontitis: A Cross-Sectional Study Using KoGES HEXA Data

Byun

Yoo

Lee

et al. 2020

IJERPH

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Hyperuricemia arises from the buildup of excessive uric acid in the blood, and it is implicated in the development of periodontitis. The objective of this study was to investigate the association between hyperuricemia and periodontitis using a cross-sectional study design and Korean Genome and Epidemiology Study Health Examinee (KoGES HEXA) data. This prospective cohort study used epidemiological data from the KoGES from 2004 to 2016. Among 173,209 participants, 8809 with hyperuricemia and 126,465 controls (non-hyperuricemia) were selected. This study defined hyperuricemia as >7.0 mg/dL of uric acid in men and >6.0 mg/dL in women. This study analyzed the history of periodontitis among hyperuricemia and control participants. Participants’ age, gender, income, obesity, smoking, alcohol consumption, and nutritional intake were all examined. Chi-square tests, independent t-tests, and two-tailed analyses were used for statistical analysis. The adjusted OR (aOR) of hyperuricemia for periodontitis was 0.89 (95% confidence interval (CI) = 0.81–0.96, p = 0.005). This study demonstrated that hyperuricemia was associated with periodontitis. This finding meant that elevated uric acid levels could have a positive effect on periodontitis. However, further studies should be performed to determine the range of uric acid levels beneficial to periodontal health.

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Population Impact Attributable to Modifiable Risk Factors for Hyperuricemia

Cited by 79 publications

References 67 publications

Effect of body mass index on serum urate and renal uric acid handling responses to an oral inosine load: experimental intervention study in healthy volunteers

Effect of body mass index on serum urate and renal uric acid handling responses to an oral inosine load: experimental intervention study in healthy volunteers

<p>Metabolic Syndrome and 5-Year Incident Hyperuricemia Among Older Chinese Adults: A Community-Based Cohort Study</p>

Analyzing the Association between Hyperuricemia and Periodontitis: A Cross-Sectional Study Using KoGES HEXA Data

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