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Due to their different chemical structures and metabolism, polyphenol subclasses may have specific impact on cardiometabolic risk factors. Our aim was to evaluate whether the intake of different polyphenol subclasses is associated with clinical outcomes beneficially improved by polyphenols in a nutritional trial performed by our group (postprandial lipid response, glucose homeostasis, early insulin secretion and oxidative stress). The present study is a secondary analysis of a nutritional intervention study with a diet naturally rich in polyphenols. The data are derived from 78 participants at high cardiovascular risk who completed the ETHERPATH trial. The associations between variations in polyphenol subclasses (phenolic acids, anthocyanidins, flavones, flavan-3-ols, flavonols and flavanones) and clinical outcomes beneficially influenced by polyphenols were firstly explored by Spearman’s correlation. Thereafter, adjustment for gender, age and body mass index (BMI) was run. Linear regression analysis was used to assess the class of polyphenols that best predicted the outcome. Flavanone intake was inversely correlated with postprandial lipid response, whereas flavone intake was related to postchallenge glucose response. Anthocyanidins and flavan-3-ols associated positively with early insulin secretion. The decrease in urinary isoprostanes correlated with anthocyanidins, flavan-3-ols and flavonols. Correlations did not change after adjustment for gender, age, and BMI. Linear regression analysis showed an independent association between flavonols and urinary isoprostanes, whereas early insulin secretion was mainly associated with flavan-3-ols intake. The results of this study show that a polyphenol-rich diet may have a pleiotropic effect on cardiometabolic risk factors thanks to the specific action of different polyphenol subclasses.

Gut microbiota significantly impacts human health and is influenced by dietary changes. We evaluated the effects of diets naturally rich in polyphenols (PP) and/or long-chain n-3 polyunsaturated fatty acids (LCn3) on microbiota composition in an ancillary analysis of a randomized controlled trial in individuals at high cardiometabolic risk.Seventy-eight individuals with high waist circumference and at least one additional component of the metabolic syndrome were randomized to an isoenergetic 8-week diet: (a) low LCn3 and PP; (b) high LCn3; (c) high PP; or (d) high LCn3 and PP. Microbiota analysis was performed on feces collected before and after the intervention. DGGE analysis of the predominant bacteria, Eubacterium rectale and Blautia coccoides group (Lachnospiraceae, EREC), Clostridium leptum (Ruminococcaceae, CLEPT), Bacteroides spp., Bifidobacteria, and Lactobacillus group was performed. A quantitative real-time PCR was performed for the same group, additionally including Atopobium cluster (Coriobatteriaceae). Before and after the intervention, participants underwent a 75 g OGTT and a high-fat test meal to evaluate glucose and lipid response.Adherence to the four diets was optimal. PP significantly increased microbial diversity (p = 0.006) and CLEPT (p = 0.015), while it reduced EREC (p = 0.044). LCn3 significantly increased the numbers of Bifidobacteria (p = 0.041). Changes in CLEPT numbers correlated with changes in early insulin secretion (r = 0.263, p = 0.030). Changes in Atopobium numbers correlated with postprandial triglycerides in plasma (r = 0.266, p = 0.026) and large VLDL (r = 0.313, p = 0.009), and cholesterol in large VLDL (r = 0.319, p = 0.008).Diets naturally rich in PP or LCn3 influenced gut microbiota composition in individuals at high cardiometabolic risk. These modifications were associated with changes in glucose/lipid metabolism.

To evaluate feasibility and effectiveness on short-term blood glucose control of using glycaemic load counting (GLC) versus carbohydrate counting (CC) for prandial insulin dosing in patients with type 1 diabetes (T1D).Nine T1D patients on insulin pump, aged 26-58 years, HbA1c 7.7 ± 0.8 % (61 ± 8.7 mmol/mol), participated in this real-life setting study. By a crossover design, patients were randomised to calculate their pre-meal insulin dose based on the insulin/glycaemic load ratio (GLC period) or the insulin/carbohydrate ratio (CC period) for 1 week, shifting to the alternate method for the next week, when participants duplicated their first week food plan. Over either week, a blind subcutaneous continuous glucose monitoring was performed, and a 7-day food record was filled in.Total daily insulin doses (45 ± 10 vs. 44 ± 9 I.U.; M ± SD, p = 0.386) and basal infusion (26 ± 7 vs. 26 ± 8 I.U., p = 0.516) were not different during GLC and CC periods, respectively. However, the range of insulin doses (difference between highest and lowest insulin dose) was wider during GLC, with statistical significance at dinner (8.4 ± 6.2 vs. 6.0 ± 3.9 I.U., p = 0.041). Blood glucose iAUC after lunch was lower, albeit not significantly, during GLC than CC period (0.6 ± 8.6 vs. 3.4 ± 8.2 mmol/l∙3 h, p = 0.059). Postprandial glucose variability, evaluated as the maximal amplitude after meal (highest minus lowest glucose value), was significantly lower during GLC than CC period at lunch (4.22 ± 0.28 vs. 5.47 ± 0.39 mmol/l, p = 0.002) and dinner (3.89 ± 0.33 vs. 4.89 ± 0.33, p = 0.026).Calculating prandial insulin bolus based on glycaemic load counting is feasible in a real-life setting and may improve postprandial glucose control in people with T1D.

The aim of the study was to evaluate whether two dietary approaches recommended for diabetes mellitus and cardiovascular prevention-high-MUFA or complex carbohydrates/fiber-differently influence inflammation. A 4-week crossover study in 12 individuals with type 2 diabetes was performed. Fasting and postprandial hs-CRP plasma levels were not significantly different after a high-carbohydrate/high-fiber/low-glycemic index (CHO/fiber) and a high-MUFA diet. Compared with fasting, hs-CRP levels decreased significantly after the MUFA but not after the CHO/fiber meal. Triglyceride-rich lipoproteins were significantly lower after the CHO/fiber than the MUFA diet. At fasting and postprandially, hs-CRP correlated with triglyceride in whole plasma, chylomicrons, small and large VLDL after the CHO/fiber but not after the MUFA diet. In conclusion, a MUFA-rich diet and a carbohydrate/fiber-rich diet induced similar effects on plasma hs-CRP concentrations. However, these dietary approaches seem to influence hs-CRP levels through different mechanisms. i.e., direct acute postprandial effects by MUFA and triglyceride-rich lipoproteins mediated effects by CHO/fiber.

The aim of the study was to evaluate the effects of a supervised physical training added to a healthy diet-rich in either carbohydrate and fibre (CHO/fibre) or monounsaturated fatty acids (MUFA)-on postprandial dyslipidaemia, an independent cardiovascular risk factor particularly relevant in type 2 diabetes (T2D). Participants were forty-five overweight/obese subjects with T2D, of both genders, in good blood glucose control with diet or diet+metformin, with normal fasting plasma lipids. According to a parallel groups 2 × 2 factorial design, participants were randomized to an 8-week isoenergetic intervention with a CHO/fibre or a MUFA diet, with or without a supervised low-volume aerobic training programme. The main outcome of the study was the incremental area under the curve (iAUC) of lipid concentrations in the plasma chylomicron+VLDL lipoprotein fraction, isolated by preparative ultracentrifugation (NCT01025856). Body weight remained stable during the trial in all groups. Physical fitness slightly improved with training (VO2 peak, 16 ± 4 vs. 15 ± 3 ml/kg/min, M ± SD, p