Anti-inflammatory and antioxidant effects of resveratrol in healthy smokers a randomized, double-blind, placebo-controlled, cross-over trial.

OBJECTIVE: Smokers are characterized by a low-grade systemic inflammatory state and an oxidant-antioxidant imbalance. Few human studies were conducted on the effects of resveratrol, a natural compound with anti-inflammatory and antioxidant properties, and no trial on smokers has been performed to date. We evaluated whether resveratrol has beneficial effects on markers of inflammation and oxidative stress in smokers. METHODS AND RESULTS: A randomized, double- blind, cross-over trial was performed in 50 healthy adult smokers: 25 were randomly allocated to "resveratrol-first" (30-days: 500mg resveratrol/day, 30-days wash-out, 30-days placebo) and 25 to "placebo-first" (30-days placebo, 30-days wash-out, 30-days 500mg resveratrol/day). Resveratrol significantly reduced C-reactive protein (CRP) and triglyceride concentrations, and increased Total Antioxidant Status (TAS) values. After analyzing data with general linear models to assess period and carry-over effects, the ratios of the values after resveratrol to those after placebo were respectively: 0.47 (95%CI 0.38-0.59) -CRP- and 0.71 (95%CI 0.65-0.78) -triglycerides-, while TAS increased by 74.2 µmol/L (95%CI 60.8-87.6). Uric acid, glucose, insulin, cholesterol, liver enzyme concentrations, and weight, waist circumference, and blood pressure values did not significantly change after resveratrol supplementation. CONCLUSIONS: Because resveratrol has anti-inflammatory, anti-oxidant, and hypotriglyceridemic effects, its supplementation may beneficially affect the increased cardiovascular risk of healthy smokers.

Is left ventricular hypertrophy a low-level inflammatory state? A population-based cohort study.

BACKGROUND AND AIMS: Cross-sectional studies have shown that chronic sub-clinical inflammation is associated with left ventricular hypertrophy (LVH), but results are conflicting. We investigated the association between baseline LVH and high-sensitivity C-reactive protein (CRP) values, both cross-sectionally and after a six-year-follow-up, in a population-based cohort (n = 1564) and a subgroup from this cohort (n = 515), without obesity, diabetes, metabolic syndrome or any drugs. METHODS AND RESULTS: ECG tracings at baseline were interpreted according to the Cornell voltage-duration product criteria: 166/1564 subjects (10.6%) showed LVH. Patients with baseline LVH showed increased BMI, waist circumference, blood pressure, and a worse metabolic pattern. Their CRP values both at baseline and at follow-up were almost two-fold higher than in patients without LVH. Similar results were found in the healthier sub-sample. In a multiple regression model, CRP at follow-up was directly associated with baseline LVH (expressed as Cornell voltage-duration product) in the whole cohort (ß = 0.0003; 95%CI 0.0002-0.0006; p < 0.001) and in the sub-sample (ß = 0.0003; 0.0002-0.0004; p < 0.001), after adjusting for age, sex, BMI, waist circumference, smoking, exercise levels, blood pressure and baseline CRP values. CONCLUSION: Baseline LVH, which is associated with systemic inflammation, predicts increased CRP values at follow-up, independently of cardiovascular and metabolic risk factors, both in a population-based cohort and a healthier sub-sample. The inflammatory consequences of LVH might be an intriguing subject for further researches.

Cancer mortality reduction and metformin: a retrospective cohort study in type 2 diabetic patients.

AIMS: Few studies suggest that metformin decreases cancer mortality in type-2 diabetic patients (T2DP). We explored the association between the type and duration of antidiabetic therapies and cancer and other-than-cancer mortality in a T2DP cohort, taking into account the competing risks between different causes of death and multiple potential confounding effects. The mortality rates were compared with the general population from the same area. METHODS: In 1995, all T2DP (n = 3685) at our diabetes clinic in Turin (∼12% of all T2DP in the city), without cancer at baseline, were identified. Vital status was assessed after a mean 4.5-year follow-up. RESULTS: Metformin users had greater adiposity, while insulin users had more co-morbidities. All-cause- and cancer-related deaths occurred in: 9.2 and 1.6% of metformin users, 13.1 and 3.0% of sulfonylureas users and 26.8 and 4.8% of insulin users, respectively. In a Cox regression model for competing risks, adjusted for propensity score, metformin users showed a lower cancer mortality risk [hazard ratio (HR) = 0.56; 95% confidence interval (CI) 0.34-0.94], while insulin was positively associated with other-than-cancer mortality (HR = 1.56; 95%CI 1.22-1.99). Each 5-year metformin exposure was associated with a reduction in cancer death by 0.73, whereas every 5-year insulin exposure was associated with 1.25-fold increase in other-than-cancer death. Standardized mortality ratios for cancer and other-than-cancer mortality in metformin users were 43.6 (95%CI 25.8-69.0) and 99.1 (95%CI 79.3-122.5), respectively, in comparison with the general population. CONCLUSIONS: Metformin users showed a lower risk of cancer-related mortality than not users or patients on diet only; this may represent another reason to choose metformin as a first-line therapy in T2DP.

Contributors to the obesity and hyperglycemia epidemics. A prospective study in a population-based cohort.

OBJECTIVE: Relatively unexplored contributors to the obesity and diabetes epidemics may include sleep restriction, increased house temperature (HT), television watching (TW), consumption of restaurant meals (RMs), use of air conditioning (AC) and use of antidepressant/antipsychotic drugs (ADs). DESIGN AND SUBJECTS: In a population-based cohort (n=1597), we investigated the possible association among these conditions, and obesity or hyperglycemia incidence at 6-year follow-up. Subjects with obesity (n=315) or hyperglycemia (n=618) at baseline were excluded, respectively, 1282 and 979 individuals were therefore analyzed. RESULTS: At follow-up, 103/1282 became obese; these subjects showed significantly higher body mass index, waist circumference, saturated fat intake, RM frequency, TW hours, HT, AC and AD use, and lower fiber intake, metabolic equivalent of activity in h per week (METS) and sleep hours at baseline. In a multiple logistic regression model, METS (odds ratio=0.94; 95% confidence interval (CI) 0.91-0.98), RMs (odds ratio=1.47 per meal per week; 1.21-1.79), being in the third tertile of HT (odds ratio=2.06; 1.02-4.16) and hours of sleep (odds ratio=0.70 per h; 0.57-0.86) were associated with incident obesity. Subjects who developed hyperglycemia (n=174/979; 17.8%) had higher saturated fat intake, RM frequency, TW hours, HT, AC and AD use at baseline and lower METS and fiber intake. In a multiple logistic regression model, fiber intake (odds ratio=0.97 for each g per day; 0.95-0.99), RM (1.49 per meal per week; 1.26-1.75) and being in the third tertile of HT (odds ratio=1.95; 1.17-3.26) were independently associated with incident hyperglycemia. CONCLUSIONS: Lifestyle contributors to the obesity and hyperglycemia epidemics may be regular consumption of RM, sleep restriction and higher HT, suggesting potential adjunctive non-pharmacological preventive strategies for the obesity and hyperglycemia epidemics.