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. 2019 Jun 21:11:49.
doi: 10.1186/s13098-019-0446-6. eCollection 2019.

Assessment of the relationship between serum uric acid and glucose levels in healthy, prediabetic and diabetic individuals

Affiliations

Assessment of the relationship between serum uric acid and glucose levels in healthy, prediabetic and diabetic individuals

Tangigul Haque et al. Diabetol Metab Syndr. .

Abstract

Background: In epidemiological studies, serum uric acid (SUA) has been shown to be associated with hypertension and cardiovascular disorders. However, limited studies have evaluated the relationship between SUA and glucose levels in healthy and diabetic individuals and their observed findings are inconsistent. This study aimed to examine the relationship between SUA and fasting blood glucose (FBG) levels among healthy, prediabetic and diabetic individuals in Bangladesh.

Methods: In total, 310 blood samples were collected from 215 male and 95 female subjects and analyzed for FBG, SUA, and lipid levels. All participants were categorized into four quartiles based on SUA concentrations. Diabetes and prediabetes were defined as FBG level ≥ 126 mg/dL and 100-125 mg/dL, respectively. The association between SUA and diabetes was evaluated by multinomial logistic regression analysis.

Results: The prediabetic and diabetic individuals had a lower mean level of SUA (338.2 ± 101.6 and 290.9 ± 98.2 µmol/L, respectively) compared to healthy (369.5 ± 110.9 µmol/L) individuals (p < 0.001). SUA was positively associated with BMI, TG and TC but negatively associated with FBG. The prevalence of diabetes was decreased with increasing concentration of SUA across the quartiles. In regression analysis, SUA levels were inversely associated with diabetes mellitus.

Conclusions: SUA levels were high in healthy individuals but declined in prediabetic and diabetic individuals with increasing FBG concentrations. A significant inverse association was observed between the levels of SUA and diabetes in Bangladeshi adults. Further studies are needed to examine the reliability of using SUA to predict diabetes.

Keywords: Bangladesh; Diabetes; Glucose; Serum uric acid.

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Conflict of interest statement

Competing interestsThe authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Prevalence of prediabetes and diabetes across the SUA quartiles. p < 0.01 for trend when diabetes prevalence is compared within the quartiles
Fig. 2
Fig. 2
Levels of SUA in non-diabetes, prediabetes and diabetes groups by gender

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