Serum Uric Acid Levels are Associated with Cardiometabolic Risk Factors in Healthy Young and Middle-Aged Adults / Os Níveis Séricos de Ácido Úrico estão Associados a Fatores de Risco Cardiometabólico em Adultos Jovens e de Meia-Idade Saudáveis

Abstract Background: Observational studies have highlighted an association between serum uric acid (SUA) levels and cardiovascular risk factors. Despite the growing body of evidences, several studies were conducted in older individuals or in carriers of diseases susceptible to affect SUA levels and cardiometabolic risk markers. Objective: To evaluate the relationship of SUA with body adiposity, metabolic profile, oxidative stress, inflammatory biomarkers, blood pressure and endothelial function in healthy young and middle-aged adults. Methods: 149 Brazilian adults aged 20-55 years, both sexes, underwent evaluation of body adiposity, SUA, fasting glucose and insulin, lipid profile, malondialdehyde (MDA), high sensitivity C-reactive protein (hs-CRP), adiponectin, blood pressure and endothelial function. Endothelial function was assessed by the reactive hyperemia index (RHI) derived from peripheral arterial tonometry method. Participants were allocated in two groups according to SUA levels: control group (CG; n = 130; men ≤ 7 mg/dL, women ≤ 6 mg/dL) and hyperuricemia group (HG; n = 19; men > 7 mg/dL, women > 6 mg/dL). A P-value < 0.05 was considered statistically significant. Results: After adjustment for confounders, participants in HG compared with those in CG displayed higher body mass index (BMI): 34.15(33.36-37.19) vs.31.80 (26.26-34.42) kg/m2,p = 0.008, higher MDA: 4.67(4.03-5.30) vs. 3.53(3.10-4.07) ng/mL, p < 0.0001 and lower RHI: 1.68 ± 0.30 vs. 2.05 ± 0.46, p = 0.03). In correlation analysis adjusted for confounders, SUA was positively associated (p < 0.05) with BMI, waist circumference, LDL-cholesterol, triglycerides and MDA, and negatively associated (p < 0.05) with HDL-cholesterol, adiponectin and RHI. Conclusions: This study suggests that in healthy young and middle-aged adults higher SUA levels are associated with higher body adiposity, unfavorable lipid and inflammatory phenotype, higher oxidative stress and impaired endothelial function.

Resumo Fundamento: Estudos observacionais têm destacado uma associação entre níveis de ácido úrico sérico (AUS) e fatores de risco cardiovascular. Apesar do crescente conjunto de evidências, vários estudos foram realizados em indivíduos mais velhos ou em portadores de doenças passíveis de influenciar os níveis de AUS e marcadores de risco cardiometabólico. Objetivo: Avaliar a relação do AUS com adiposidade corporal, perfil metabólico, estresse oxidativo, biomarcadores de inflamação, pressão arterial e função endotelial em adultos jovens e de meia-idade saudáveis. Métodos: 149 adultos, brasileiros, com idades entre 20 e 55 anos, de ambos os sexos, foram submetidos a avaliação de adiposidade corporal, AUS, glicose e insulina de jejum, perfil lipídico, malondialdeído (MDA), proteína C-reativa ultra-sensível (PCR-us), adiponectina, pressão arterial e função endotelial. A função endotelial foi avaliada pelo índice de hiperemia reativa (RHI) derivado do método de tonometria arterial periférica. Os participantes foram divididos em dois grupos de acordo com os níveis de AUS: grupo de controle (GC; n = 130; homens ≤ 7 mg/dL, mulheres ≤ 6mg/dL) e grupo de hiperuricemia (GH; n = 19; homens > 7mg/dL, mulheres > 6mg/dL). Valor de p < 0,05 foi considerado estatisticamente significativo. Resultados: Após ajuste para fatores de confundimento, os participantes do GH comparados aos do GC apresentaram índice de massa corporal (IMC) mais alto: 34,15 (33,36-37,19) vs. 31,80 (26,26-34,42) kg/m2, p = 0,008, MDA mais alto: 4,67(4,03-5,30) vs. 3,53(3,10-4,07) ng/mL, p < 0,0001 e RHI mais baixo: 1,68 ± 0,30 vs. 2,05 ± 0,46, p = 0,03. Na análise de correlação ajustada para fatores de confundimento, o AUS se associou positivamente (p < 0,05) com IMC, circunferência da cintura, LDL colesterol, triglicérides e MDA, e se associou negativamente (p < 0,05) com HDL colesterol, adiponectina e RHI. Conclusões: Este estudo sugere que, em adultos jovens e de meia-idade saudáveis, níveis mais altos de AUS estão associados a maior adiposidade corporal, fenótipo inflamatório e de lipídios desfavorável, maior estresse oxidativo e função endotelial comprometida.

Serum Uric Acid Levels are Associated with Cardiometabolic Risk Factors in Healthy Young and Middle-Aged Adults.

BACKGROUND: Observational studies have highlighted an association between serum uric acid (SUA) levels and cardiovascular risk factors. Despite the growing body of evidences, several studies were conducted in older individuals or in carriers of diseases susceptible to affect SUA levels and cardiometabolic risk markers. OBJECTIVE: To evaluate the relationship of SUA with body adiposity, metabolic profile, oxidative stress, inflammatory biomarkers, blood pressure and endothelial function in healthy young and middle-aged adults. METHODS: 149 Brazilian adults aged 20-55 years, both sexes, underwent evaluation of body adiposity, SUA, fasting glucose and insulin, lipid profile, malondialdehyde (MDA), high sensitivity C-reactive protein (hs-CRP), adiponectin, blood pressure and endothelial function. Endothelial function was assessed by the reactive hyperemia index (RHI) derived from peripheral arterial tonometry method. Participants were allocated in two groups according to SUA levels: control group (CG; n = 130; men ≤ 7 mg/dL, women ≤ 6 mg/dL) and hyperuricemia group (HG; n = 19; men > 7 mg/dL, women > 6 mg/dL). A P-value < 0.05 was considered statistically significant. RESULTS: After adjustment for confounders, participants in HG compared with those in CG displayed higher body mass index (BMI): 34.15(33.36-37.19) vs.31.80 (26.26-34.42) kg/m2,p = 0.008, higher MDA: 4.67(4.03-5.30) vs. 3.53(3.10-4.07) ng/mL, p < 0.0001 and lower RHI: 1.68 ± 0.30 vs. 2.05 ± 0.46, p = 0.03). In correlation analysis adjusted for confounders, SUA was positively associated (p < 0.05) with BMI, waist circumference, LDL-cholesterol, triglycerides and MDA, and negatively associated (p < 0.05) with HDL-cholesterol, adiponectin and RHI. CONCLUSIONS: This study suggests that in healthy young and middle-aged adults higher SUA levels are associated with higher body adiposity, unfavorable lipid and inflammatory phenotype, higher oxidative stress and impaired endothelial function.

No difference in acute effects of supplemental v. dietary calcium on blood pressure and microvascular function in obese women challenged with a high-fat meal: a cross-over randomised study.

Recent studies suggest that supplemental Ca (SC) increases the risk of cardiovascular events, whereas dietary Ca (DC) decreases the risk of cardiovascular events. Although frequently consumed with meals, it remains unclear whether Ca can mitigate or aggravate the deleterious effects of a high-fat meal on cardiovascular risk factors. This study aimed to evaluate the effects of SC or DC on blood pressure (BP) and microvascular function (MVF) in the postprandial period in obese women challenged with a high-fat meal. In this cross-over controlled trial, sixteen obese women aged 20-50 years were randomly assigned to receive three test meals (2908 kJ (695 kcal); 48 % fat): high DC (HDCM; 547 mg DC), high SC (HSCM; 500 mg SC-calcium carbonate) and low Ca (LCM; 42 mg DC). BP was continuously evaluated from 15 min before to 120 min after meals by digital photoplethysmography. Before and 120 min after meals, participants underwent evaluation of serum Ca and microvascular flow after postocclusive reactive hyperaemia (PORH) by laser speckle contrast imaging. Ionised serum Ca rose significantly only after HSCM. Systolic BP increased after the three meals, whereas diastolic BP increased after LCM and HDCM. Hyperaemia peak, hyperaemia amplitude and AUC evaluated after PORH decreased with LCM. After HDCM, there was a reduction in hyperaemia peak and hyperaemia amplitude, whereas HSCM decreased only hyperaemia peak. However, comparative analyses of the effects of three test meals on serum Ca, BP and MVF revealed no significant meal×time interaction. This study suggests that in obese women SC and DC do not interfere with the effects of a high-fat meal on BP and MVF.

Adiposity and cardiovascular disease risk factors in renal transplant recipients: Are there differences between sexes?

OBJECTIVE: The aim of this study was to evaluate high body adiposity and cardiovascular disease (CVD) risk factors prevalence, in renal transplant recipients (RTR), comparing men with women. METHODS: In this retrospective cross-sectional study, 102 patients (55 men) who were 49 ± 1.2 y and 114.3 ± 9 mo post-transplant (post-tx) were evaluated. Pretransplant (pre-tx) period data and weight gain during the first year post-tx were obtained from patient charts and post-tx data were collected during a routine visit at nephrology clinic. Body mass index (BMI) ≥ 25 kg/m(2) defined overweight and BMI ≥ 30 kg/m(2) defined obesity. RESULTS: Pre-tx overweight prevalence was low and similar between men and women (26%), whereas only women showed obesity (11%). Post-tx body weight increased significantly in the entire group, leading to an increase in overweight (to 38% in men and 51% in women) and obesity (to 11% in men and 23% in women) prevalence. Post-tx comparisons between men and women showed that women had higher (women versus men; P < 0.05) BMI values (26.7 ± 0.8 versus 24.7 ± 0.5 kg/m(2)), weight gain during first year post-tx (9.2 ± 1.1 versus 5.5 ± 1 kg), abdominal obesity (57% versus 23%) and diabetes (34% versus 16%) prevalence. The associations between adiposity and CVD risk factors showed that pre-tx overweight increased the risk for diabetes in post-tx; pos-tx high BMI and abdominal obesity increased the risk for metabolic syndrome; abdominal obesity increased the risk for dyslipidemia in women. CONCLUSIONS: High body adiposity prevalence was high after transplantation and increased the risk for metabolic syndrome, an important CVD risk factor. Women showed higher total body adiposity values, abdominal obesity, and diabetes prevalence than men. Abdominal obesity increased the risk for dyslipidemia in women.