Abstract P219: Plasma Uric Acid and Risk of Type 2 Diabetes: The Influence of a Uric Acid Related Dietary Pattern and Metabolic Risk Factors

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Ivonne Sluijs ◽  
Joline W Beulens ◽  
Daphne L van der A ◽  
Annemieke M Spijkerman ◽  
Matthias B Schulze ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Uric Acid ◽  
Dietary Pattern ◽  
Current Evidence ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Incident Type ◽  
Plasma Uric Acid

Background: Current evidence suggests a positive relation of uric acid with diabetes risk, but it is still unclear whether this association is independent of other risk factors such as obesity and diet. Objective: To investigate whether plasma uric acid concentrations are independently associated with incident type 2 diabetes, and to investigate the role of a uric acid related dietary pattern in this association. Methods: We used a case-cohort study, nested in the European Prospective Investigation into Cancer and Nutrition - Netherlands (EPIC-NL) study. The study included 2318 subcohort members and 845 incident diabetes cases, with a mean follow-up of 10 years. At baseline, blood samples were taken and diet was assessed using a validated food frequency questionnaire. A dietary pattern was obtained with reduced rank regression. Diabetes was mainly self-reported, and verified against general practitioner records. Results: Mean plasma uric acid concentrations were 275 and 217 µmol/L for males and females respectively. After adjustment for age, sex, measures of adiposity, hypertension, biochemical markers and other confounders, uric acid related to a statistically significant higher risk of diabetes (HR 1.59 [95%CI: 1.06, 2.40]). A uric acid related dietary pattern (high: alcohol, meat , French fries, sugared soft drinks, snacks, low-fibre bread, low: soy products, tea) did not influence the relation. Conclusions: This study supports that high uric acid concentrations increase risk of diabetes, independent of risk factors such as obesity and diet.

scholarly journals A Dietary Pattern Derived by Reduced Rank Regression is Associated with Type 2 Diabetes in An Urban Ghanaian Population

Nutrients ◽  
2015 ◽  
Vol 7 (7) ◽  
pp. 5497-5514 ◽  
Author(s):  
Laura Frank ◽  
Franziska Jannasch ◽  
Janine Kröger ◽  
George Bedu-Addo ◽  
Frank Mockenhaupt ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Pattern ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank

scholarly journals Plasma Uric Acid Is Associated with Increased Risk of Type 2 Diabetes Independent of Diet and Metabolic Risk Factors

2012 ◽  
Vol 143 (1) ◽  
pp. 80-85 ◽  
Author(s):  
Ivonne Sluijs ◽  
Joline W. J. Beulens ◽  
Daphne L. van der A ◽  
Annemieke M. W. Spijkerman ◽  
Matthias B. Schulze ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Uric Acid ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Plasma Uric Acid ◽  
Increased Risk

scholarly journals Lipoprotein(a) and Risk of Type 2 Diabetes

2010 ◽  
Vol 56 (8) ◽  
pp. 1252-1260 ◽  
Author(s):  
Samia Mora ◽  
Pia R Kamstrup ◽  
Nader Rifai ◽  
Børge G Nordestgaard ◽  
Julie E Buring ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Men And Women ◽  
Lipoprotein A ◽  
Incident Type ◽  
Reactive Protein ◽  
Hb A1c ◽  
Hormone Use

BACKGROUND Previous studies have demonstrated that cardiovascular risk is higher with increased lipoprotein(a) [Lp(a)]. Whether Lp(a) concentration is related to type 2 diabetes is unclear. METHODS In 26 746 healthy US women (mean age 54.6 years), we prospectively examined baseline Lp(a) concentrations and incident type 2 diabetes (n = 1670) for a follow-up period of 13 years. We confirmed our findings in 9652 Danish men and women with prevalent diabetes (n = 419). Analyses were adjusted for risk factors that included age, race, smoking, hormone use, family history, blood pressure, body mass index, hemoglobin A1c (Hb A1c), C-reactive protein, and lipids. RESULTS Lp(a) was inversely associated with incident diabetes, with fully adjusted hazard ratios (HRs) and 95% CIs for quintiles 2–5 vs quintile 1 of 0.87 (0.75–1.01), 0.80 (0.68–0.93), 0.88 (0.76–1.02), and 0.78 (0.67–0.91); P for trend 0.002. The association was stronger in nonfasting women, for whom respective HRs were 0.79 (0.58–1.09), 0.78 (0.57–1.08), 0.66 (0.46–0.93), and 0.56 (0.40–0.80); P for trend 0.001; P for interaction with fasting status 0.002. When we used Lp(a) ≥10 mg/L and Hb A1c <5% as reference values, the adjusted HRs were 1.62 (0.91–2.89) for Lp(a) <10 mg/L and Hb A1c <5%, 3.50 (3.06–4.01) for Lp(a)≥10 mg/L and Hb A1c 5%–<6.5%, and 5.36 (4.00–7.19) for Lp(a) <10 mg/L and Hb A1c 5%–<6.5%. Results were similar in nonfasting Danish men and women, for whom adjusted odds ratios were 0.75 (0.55–1.03), 0.64 (0.46–0.88), 0.74 (0.54–1.01), and 0.58 (0.42–0.79) for Lp(a) quintiles 2–5 vs quintile 1; P for trend 0.002. CONCLUSIONS Our results indicated that Lp(a) was associated inversely with risk of type 2 diabetes independently of risk factors, in contrast to prior findings of positive associations of Lp(a) with cardiovascular risk.

scholarly journals Plasma metabolites predict both insulin resistance and incident type 2 diabetes: a metabolomics approach within the Prevención con Dieta Mediterránea (PREDIMED) study

2019 ◽  
Vol 109 (3) ◽  
pp. 626-634 ◽  
Author(s):  
Christopher Papandreou ◽  
Mònica Bulló ◽  
Miguel Ruiz-Canela ◽  
Courtney Dennis ◽  
Amy Deik ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Area Under The Curve ◽  
Predictive Ability ◽  
Plasma Metabolites ◽  
Incident Type ◽  
Dieta Mediterranea ◽  
Dieta Mediterránea

ABSTRACT Background Insulin resistance is a complex metabolic disorder and is often associated with type 2 diabetes (T2D). Objectives The aim of this study was to test whether baseline metabolites can additionally improve the prediction of insulin resistance beyond classical risk factors. Furthermore, we examined whether a multimetabolite model predicting insulin resistance in nondiabetics can also predict incident T2D. Methods We used a case-cohort study nested within the Prevención con Dieta Mediterránea (PREDIMED) trial in subsets of 700, 500, and 256 participants without T2D at baseline and 1 and 3 y. Fasting plasma metabolites were semiquantitatively profiled with liquid chromatography–tandem mass spectrometry. We assessed associations between metabolite concentrations and the homeostasis model of insulin resistance (HOMA-IR) through the use of elastic net regression analysis. We subsequently examined associations between the baseline HOMA-IR–related multimetabolite model and T2D incidence through the use of weighted Cox proportional hazard models. Results We identified a set of baseline metabolites associated with HOMA-IR. One-year changes in metabolites were also significantly associated with HOMA-IR. The area under the curve was significantly greater for the model containing the classical risk factors and metabolites together compared with classical risk factors alone at baseline [0.81 (95% CI: 0.79, 0.84) compared with 0.69 (95% CI: 0.66, 0.73)] and during a 1-y period [0.69 (95% CI: 0.66, 0.72) compared with 0.57 (95% CI: 0.53, 0.62)]. The variance in HOMA-IR explained by the combination of metabolites and classical risk factors was also higher in all time periods. The estimated HRs for incident T2D in the multimetabolite score (model 3) predicting high HOMA-IR (median value or higher) or HOMA-IR (continuous) at baseline were 2.00 (95% CI: 1.58, 2.55) and 2.24 (95% CI: 1.72, 2.90), respectively, after adjustment for T2D risk factors. Conclusions The multimetabolite model identified in our study notably improved the predictive ability for HOMA-IR beyond classical risk factors and significantly predicted the risk of T2D.

scholarly journals Serum Uric Acid Level as a Harbinger of Type 2 Diabetes: A Prospective Observation in Taiwan

2020 ◽  
Vol 17 (7) ◽  
pp. 2277 ◽  
Author(s):  
Wen-Chih Wu ◽  
Yen-Wen Lai ◽  
Yu-Ching Chou ◽  
Yu-Chan Liao ◽  
San-Lin You ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Diabetes Risk ◽  
Current Evidence ◽  
Study Cohort ◽  
The Future ◽  
Future Risk ◽  
The Impact

Background: Current evidence suggests an association of uric acid with diabetes risk, but it is still unclear whether uric acid is merely a risk marker or an independent risk factor. We evaluate the impact of serum uric acid (SUA) levels on the future risk of developing type 2 diabetes, independent of other factors. Methods: A population-based cohort study was conducted among 4130 participants who were found to be free of type 2 diabetes at baseline recruitment in 2002. Baseline SUA measured in 2002 was longitudinally related to the incident type 2 diabetes that occurred during the follow-up period between 2002 and 2007. Hazard ratios (HRs) and 95% confidence intervals (CIs) derived from Cox proportional hazards models were used to quantify the association. Results: There was a graded increase in the incidence of type 2 diabetes among individuals with increasing levels of SUA. In the whole study cohort, compared to quartile 1, the multivariable-adjusted HRs (95% CIs) of type 2 diabetes in quartile 2, quartile 3, and quartile 4 were 1.69 (0.76–3.76), 1.86 (0.88–4.26), and 1.94 (1.05–4.05), respectively (P for trend = 0.004). This positive gradient for the risk of type 2 diabetes across quartiles of SUA was evident in both genders and across age groups. Conclusions: This study supports that high uric acid concentrations are associated with increased diabetes risk, independent of other known risk factors. These data expand on well-established associations between SUA level and metabolic syndrome, and extend the link to the future risk of type 2 diabetes.

scholarly journals Frequency and risk factors associated with non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus

2010 ◽  
Vol 54 (4) ◽  
pp. 362-368 ◽  
Author(s):  
Vera S. G. Ferreira ◽  
Ricardo B. Pernambuco ◽  
Edmundo P. Lopes ◽  
Clarice N. Morais ◽  
Marbiana C. Rodrigues ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Uric Acid ◽  
Fatty Liver Disease ◽  
Alcoholic Fatty Liver ◽  
Tnf Α ◽  
Alcoholic Fatty Liver Disease

OBJECTIVE: To evaluate the frequency of non-alcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (DM2) and to describe its risk factors. SUBJECTS AND METHODS: Blood samples of 78 patients were collected for assessment of glycemic and lipid profile, liver enzymes, TNF-α and HOMA-IR. The diagnosis of NAFLD was established by ultrasound. RESULTS: NAFLD was observed in 42% of patients who had greater BMI (p < 0.001), and frequency of hypertension (p < 0.001). Metabolic syndrome was more frequent in those with NAFLD (p = 0.019). The levels of aspartate, alanine aminotransferase, γ-glutamyl transpeptidase, uric acid, TNF-α, insulin and HOMA-IR were significantly higher in patients with NAFLD than those without NAFLD. CONCLUSION: Almost half of patients with DM2 were found to have NAFLD, and they have more elevated BMI, as well as higher levels of aminotransferases, γ-GT, uric acid, TNF-α, insulin and HOMA-IR than subjects without NAFLD.

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