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Regular exercise is associated to several health benefits. However, only 39% of adults with type 2 diabetes reach the recommended goals for physical activity. Adherence to exercise needs removing barriers to behavioural changes by setting realistic goals. To make the chan¬ge lasting, group is fundamental and automatic behaviours must be created. However, the extent of the problem clearly indicates that a patient-centred approach is not enough. National policies including programs to encourage regular exercise are needed, with intensive in-terventions and investments.

BACKGROUND: The effects of different dietary fatty acids (FA) on cardiovascular risk still needs clarification. Plasma lipids composition may be a biomarker of FA dietary intake.PURPOSE: To evaluate in a composite population the relationships between changes in dietary fat intake and changes in FA levels in serum cholesterol esters.METHODS: In a multinational, parallel-design, dietary intervention (KANWU study), dietary intakes (3-day food record) and FA composition of serum cholesterol esters (gas-liquid chromatography) were evaluated at baseline and after 3 months in 162 healthy individuals, randomly assigned to a diet containing a high proportion of saturated (SFA) or monounsaturated (MUFA) fat, with a second random assignment to fish oil or placebo supplements.RESULTS: Main differences in serum lipid composition after the two diets included saturated (especially myristic, C14:0, and pentadecanoic, C15:0) and monounsaturated (oleic acid, C18:1 n-9) FA. C14:0 and C15:0 were related to SFA intake, while C18:1 n-9 was associated with MUFA intake. Fish oil supplementation induced a marked increase in eicosapentaenoic (C20:5 n-3) and docosahexaenoic (C22:6 n-3) acids. After the 3-month intervention, Δ-9 desaturase activity, calculated as palmitoleic acid/palmitic acid (C16:1/C16:0) ratio, was more reduced after the MUFA (0.31±0.10 vs 0.25±0.09, pCONCLUSIONS: This study shows that serum cholesterol ester FA composition can be used during randomized controlled trials as an objective indicator of adherence to experimental diets based on saturated and monounsaturated fat modifications, as well as fish oil supplementation.

OBJECTIVE To compare the effect of an isocaloric multifactorial diet with a diet rich in monounsaturated fatty acids (MUFA) and similar macronutrient composition on pancreatic fat (PF) and postprandial insulin response in type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS According to a randomized controlled parallel-group design, 39 individuals with T2D, 35–75 years old, in satisfactory blood glucose control, were assigned to an 8 week isocaloric intervention with a multifactorial diet rich in MUFA, polyunsaturated fatty acids, fiber, polyphenols, and vitamins (n = 18) or a MUFA-rich diet (n = 21). Before/after the intervention, PF content was measured by the proton-density fat fraction using a three-dimensional mDIXON MRI sequence, and plasma insulin and glucose concentrations were measured over a 4 h test meal with a similar composition as the assigned diet. RESULTS After 8 weeks, PF significantly decreased after the multifactorial diet (from 15.7 ± 6.5% to 14.1 ± 6.3%; P = 0.024), while it did not change after the MUFA diet (from 17.1 ± 10.1% to 18.6 ± 10.6%; P = 0.139) with a significant difference between diets (P = 0.014). Postprandial glucose response was similar in the two groups. Early postprandial insulin response (incremental postprandial areas under the curve [iAUC0–120]) significantly increased with the multifactorial diet (from 36,340 ± 34,954 to 44,138 ± 31,878 pmol/L/min; P = 0.037), while it did not change significantly in the MUFA diet (from 31,754 ± 18,446 to 26,976 ± 12,265 pmol/L/min; P = 0.178), with a significant difference between diets (P = 0.023). Changes in PF inversely correlated with changes in early postprandial insulin response (r = −0.383; P = 0.023). CONCLUSIONS In patients with T2D, an isocaloric multifactorial diet, including several beneficial dietary components, markedly reduced PF. This reduction was associated with an improved postprandial insulin response.

Aims/hypothesis The aim of this work was to assess the relationship between meal nutrients and postprandial blood glucose response (PGR) in individuals with type 1 diabetes on a hybrid closed-loop system (HCLS). Methods The dietary composition of 1264 meals (398 breakfasts, 441 lunches and 425 dinners) was assessed by 7-day food records completed by 25 individuals with type 1 diabetes on HCLSs (12 men/13 women, mean ± SD age 40 ± 12 years, mean ± SD HbA1c 51 ± 10 mmol/mol [6.9 ± 0.2%]). For each meal, PGR (continuous glucose monitoring metrics, glucose incremental AUCs) and insulin doses (pre-meal boluses, post-meal microboluses automatically delivered by the pump and adjustment boluses) over 6 h were evaluated. Results Breakfast, lunch and dinner significantly differed with respect to energy and nutrient intake and insulin doses. The blood glucose postprandial profile showed an earlier peak after breakfast and a slow increase until 4 h after lunch and dinner (p p p p Conclusions/interpretation This study shows that nutritional factors other than the amount of carbohydrate significantly influence postprandial blood glucose control. These nutritional determinants vary between breakfast, lunch and dinner, with differing effects on postprandial blood glucose profile and insulin requirements, thus remaining a challenge to HCLSs. Graphical abstract

aim of the study was to evaluate serum short chain fatty acids (SCFA) concentrations in patients with Type 2 diabetes (T2D) and overweight/obese individuals.In forty-three patients with T2D and twenty-eight overweight/obese patients SCFA were determined by Gas-Chromatography/Flame Ionization Detector (GC/FID).Acetic acid, propionic acid, butyric acid, and total SCFA were significantly reduced in T2D patients compared to overweight/obese in the unadjusted model. Adjusting for all variables only propionic acid remained significantly lower in T2D.Only reduction of propionic acid was closely related to diabetes itself, regardless of all other factors.

Rationale and aims Outpatient group visits in diabetes care have several potential advantages and can be simplified by the new technologies. The aim of this study was to assess feasibility and effectiveness of group visits vs individual visits in adults with type 1 diabetes on insulin pump therapy (continuous subcutaneous insulin infusion, CSII) and continuous glucose monitoring (CGM). Methods Outpatient setting for group visits (2‐hour duration, quarterly, 6‐8 patients) was the projection on giant screen of each patient's CGM and insulin pump data, with interactive discussion moderated by a diabetologist. Anthropometric measures and glycemic control (HbA1c) were assessed before and after a mean observation period of 4.4 ± 1.2 years (mean ± standard deviation, M ± SD) in CSII patients followed by group visits (GROUP) or individual visits (INDIVIDUAL) between 2013 and 2019. Results At the beginning of the observation, GROUP and INDIVIDUAL cohorts were strictly matched for gender (M/F = 37/35 and 37/35), age, diabetes duration, body mass index (BMI), CSII duration, and HbA1c level. HbA1c levels did not change significantly between beginning and end of observation in either cohort (GROUP 7.54 ± 0.80% and 7.60 ± 0.79%, P = .585; INDIVIDUAL 7.73 ± 1.27% and 7.60 ± 1.08%, P = .281) (time*visit effect P = .232, two‐way repeated measures analysis of variance [ANOVA]). Body weight remained unchanged in the GROUP cohort (73.2 ± 14.0 vs 73.8 ± 14.8 kg, P = .361), while it increased in the INDIVIDUAL cohort (70.3 ± 13.5 vs 73.0 ± 13.7 kg, P

In this retrospective analysis, we examine the impact of the lockdown of the coronavirus pandemic (COVID-19) on eating habits in individuals with type 1 diabetes (T1D) on a hybrid artificial pancreas (HAP). Dietary composition before and during lockdown was assessed by 7-day food records of 12 participants with T1D on HAP (three men and nine women, ages 38 ± 13 years, HbA1c 6.8 ± 0.3%, M ± SD). Continuous glucose monitoring (CGM) metrics and lifestyle changes (online questionnaire) were also assessed. Compared to prelockdown, reported body weight tended to increase during lockdown with no changes in total energy intake. Participants significantly decreased animal protein intake (−2.1 ± 3.7% of total energy intake, p = 0.048), but tended to increase carbohydrate intake (+17 ± 28 g/day, p = 0.052). These changes were induced by modifications of eating habits at breakfast and lunch during weekdays. Patients consumed more cereals (+21 ± 33 g/day, p = 0.038), whole grain (+22 ± 32 g/day, p = 0.044), and sweets (+13 ± 17 g/day, p = 0.021), and less animal protein sources (−42 ± 67 g/day, p = 0.054). Participants showed a more regular meal timing and decreased physical activity. Blood glucose control remained optimal (time-in-range 76 ± 8 vs. 75 ± 7% before lockdown), and daily total insulin infusion increased (42 ± 10 vs. 39 ± 12 I.U., p = 0.045). During the lockdown, patients with T1D on HAP modified dietary habits by decreasing animal protein and increasing carbohydrate intake. This increase, mainly concerning whole grain and low-glycemic-index products, did not influence blood glucose control.

Demographic change represents the most significant challenge of the 21st century. The aging population around the world will foster a consequent change in labor markets, wealth distribution, request of goods and services, as well as social and healthcare needs. The number of survivors to once deadly conditions, as well as the age associated increase in degenerative chronic conditions will represent a severe stress to our systems, that will not be sustainable any longer. At the same time, longevity might become an opportunity for the re-organization of services, leading to a new era of opportunities for economic and social prosperity. These challenges require a strong interdisciplinary approach in the identification of unmet needs, and new social, health and technological solutions, that are demand-driven and user-oriented. ICT is going to be the key to many of these revolutionary services. The European Community has proposed a new grant instrument to foster the collaboration between public administration and ICT industry for purchasing Research and Development services in order to develop a novel Information and Communication Technology solution, called Pre Commercial Procurement. ProEmpower is such a project aimed to enable patients to early diagnosis, daily management, and clinical data collection for people with type 2 diabetes. The project goes through a call for tenders issued by a consortium of four public procurers, that jointly defined a set of requirements and use cases, in collaboration with end-users, for the development of innovative solutions This manuscript describes the process that has led to the selection of two solutions that will be tested by end users in the four regions.

This article describes how innovations are exploited in Campania (Italy) to improve health outcomes, quality of life, and sustainability of social and healthcare services. Campania's strategy for digitalization of health and care and for healthy aging is based on a person-centered, life-course, “One Health” approach, where demographic change is considered capable of stimulating a growth dynamic linked to the opportunities of combining the “Silver Economy” with local assets and the specific health needs of the population. The end-users (citizens, patients, and professionals) contribute to the co-creation of products and services, being involved in the identification of unmet needs and test-bed activity. The Campania Reference Site of the European Innovation Partnership on Active and Healthy Aging is a flexible regional ecosystem to address the challenge of an aging population with a life-course approach. The good practices, developed in the context of research and innovation projects and innovative procurements by local stakeholders and collaborations with international networks, have been allowing the transfer of innovative solutions, knowledge, and skills to the stakeholders of such a multi-sectoral ecosystem for health.

Aim People with type 1 diabetes and celiac disease (T1D&CD) have high blood glucose variability. Processed gluten-free foods have shown to induce a worse metabolic profile whereas naturally gluten-free foods may represent healthier options. On the other hand, dietary fibre has shown to reduce postprandial glycemic excursions in individuals with diabetes. Thus, we evaluated the acute effect of fibre-enriched buckwheat (FBP) and corn pasta (CP) on postprandial blood glucose response (PP-BGR). Methods Ten adult patients with T1D&CD consumed two meals with the same amount of carbohydrate while differing only for pasta type (FBP or CP) preceded by the same insulin bolus. Participants utilized continuous glucose monitoring (CGM) and data over 6 h after meal were analyzed. Results PP-BGR differed between the two meals, being significantly lower in the first period (0–3 h) after the CP than the FBP meal (iAUC: −38 ± 158 vs. 305 ± 209 mmol/L · 180 min, p = 0.040), whereas significantly higher in the second period (3–6 h) after the CP than the FBP meal (iAUC: 432 ± 153 vs. 308 ± 252 mmol/L · 180 min, p = 0.030). Overall, a less variable postprandial profile was observed after FBP than CP consumption. Conclusions In individuals with T1D&CD, the acute consumption of FBP induces significant differences in PP-BGR compared with CP that may be clinically relevant.

Interest has arisen on the anti-inflammatory action of dietary components, including long-chain n-3 fatty acids (LCn3) and polyphenols (PP). The aim of this study was to evaluate the effects of diets rich in PP and oily fish (high-LCn3 diets) on markers of subclinical inflammation and growth factors in people at high cardiometabolic risk. Individuals with high waist circumference and one more component of metabolic syndrome were randomized to one of the following isoenergetic diets: low LCn3&amp, PP, high LCn3, high PP, high LCn3&amp, PP. Before and after 8 weeks, fasting and postprandial plasma concentrations of hs-CRP and fasting serum concentrations of IL-1β, IL-4, IL-6, IL-10, IL-17, INF-γ, TNF-α, FGF, VEGF, PDGF-ββ, G-CSF, and GM-CSF were determined. An oily fish diet reduced fasting plasma hs-CRP (1.28 ± 12.0, −12.5 ± 6.9, 22.5 ± 33.6, −12.2 ± 11.9, 8-week percent change, Mean ± SEM, low LCn3&amp, PP group, respectively), postprandial 6h-AUC hs-CRP (4.6 ± 16.3, −18.2 ± 7.2, 26.9 ± 35.1, −11.5 ± 11.8, 8-week percent change) and fasting IL-6 (20.8 ± 18.7, −2.44 ± 12.4, 28.1 ± 17.4, −9.6 ± 10.2), IL-17 (2.40 ± 4.9, −13.3 ± 4.9, 3.8 ± 4.43, −11.5 ± 4.7), and VEGF (−5.7 ± 5.8, −5.6 ± 7.5, 3.5 ± 5.8, −11.1 ± 5.5) (8-week percent change, p &lt, 0.05 for LCn3 effect for all, no significant effect for PP, 2-factor ANOVA). An oily fish diet improved subclinical inflammation, while no significant effect was observed for dietary polyphenols.

Background Here, we evaluate the effects of a diet rich in low-glycaemic index carbohydrates and fibre (CHO/Fibre diet) or monounsaturated fatty acids (MUFA diet), on fasting and postprandial adiponectin concentrations and their relationship with the beneficial effects of the experimental diets on postprandial glucose metabolism and liver fat in type 2 diabetes (T2D).Methods Fasting and postprandial adiponectin plasma concentrations were measured before and after dietary interventions in the participants to a randomized controlled trial (NCT01025856), wherein 37 men and 8 women with T2D, aged 35-70 years, followed a CHO/Fibre diet or a MUFA diet for an 8-week period. Hepatic fat content by H-1 NMR and fasting and postprandial plasma glucose and insulin measurements were also available.Results Fasting adiponectin plasma levels did not change after both diets. Postprandial adiponectin significantly increased after the CHO/fibre diet (9.9 +/- 1.6 mu g/mL vs. 10.8 +/- 2.3 mu g/mL; P = .033) but not after the MUFA diet (10.6 +/- 1.8 mu g/mL vs. 10.6 +/- 1.6 mu g/mL; P = .935) with a significant difference between changes (P = .035). In the combined CHO/Fibre and MUFA groups, fasting and postprandial adiponectin significantly and inversely correlated with postprandial insulin iAUC at baseline and after intervention, and with liver fat content after intervention.Conclusions A diet rich in CHO/Fibre increased postprandial plasma adiponectin significantly more than a MUFA diet in patients with T2D. Independently of diet, adiponectin levels associated with postprandial insulin concentrations. The dietary interventions modulated the relationship between adiponectin and liver fat.

Background Plasma trimethylamine N-oxide (TMAO) has drawn much attention as a marker of several chronic diseases. Data on the relation between diet and TMAO are discordant and few human intervention studies have assessed causality for this association. Objectives We aimed to evaluate the effects on plasma TMAO of diets based on foods rich in polyphenols (PP) and/or long-chain n-3 fatty acids (LCn3) or whole-grain cereals (WGCs), in individuals at high cardiometabolic risk. Methods An ancillary study was performed within 2 randomized controlled trials, aimed at evaluating the medium-term effects on cardiometabolic risk factors of diets naturally rich in PP and/or LCn3 (Etherpaths Project) or WGCs (HealthGrain Project). Results In the Etherpaths study (n = 78), the changes in TMAO (8-wk minus baseline) were statistically significant for the diets rich in LCn3 (+1.15 ± 11.58 μmol/L) (P = 0.007), whereas they were not for the diets rich in PP (-0.14 ± 9.66 μmol/L) (P = 0.905) or their interaction (P = 0.655) (2-factor ANOVA). In the HealthGrain Study (n = 48), the TMAO change (12-wk minus baseline) in the WGC group (+0.94 ± 3.58 μmol/L) was significantly different from that in the Refined Cereal group (-1.29 ± 3.09 μmol/L) (P = 0.037). Considering the pooled baseline data of the participants in the 2 studies, TMAO concentrations directly correlated with LCn3, EPA (20:5n-3), and protein intake, but not SFAs, fiber, MUFAs, and PP intake. Among food groups, TMAO directly correlated with the intake of fish, vegetables, and whole-grain products, but not meat, processed meat, and dairy products. Conclusions Diets rich in LCn3 of marine origin or WGCs significantly increased plasma TMAO concentration. These changes mirrored the direct associations between TMAO concentrations and intakes of fish and WGCs, suggesting that TMAO reflects intakes of these healthy foods and, therefore, it is not a universally valid biomarker of cardiometabolic risk independent of the background diet.These trials were registered at clinicaltrials.gov as NCT01154478 and NCT00945854.

Aims: 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. Methods: 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. Results: 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). Conclusions: 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.

In this work, an instrument to measure the bioimpedance is presented for monitoring insulin bioavailability. The instrument is non-invasive, it is built with off-the-shelf components, and it exploits electrodes with a gel film. This hardware, already successfully used in biomedical applications, is now proposed for identification of a personalized insulin model by evaluating in real-time the impedance variation in injection site. A preliminary experimental campaign was conducted on eggplants, in order to evaluate the instrument employability. The final purpose is to integrate the instrument in modern artificial pancreas and to achieve a customized drug therapy.

Plasma lipoprotein composition, especially in the postprandial state, could be relevant for cardiovascular risk and could be influenced by eating habits. This study evaluated the effects of a polyphenol-rich diet on postprandial lipoprotein composition in individuals at high cardiometabolic risk. Seventy-eight individuals with high waist circumference and at least another component of the metabolic syndrome were randomized to either a high-polyphenol (HighP) or low-polyphenol (LowP) diet. Before and after the 8-week intervention, chylomicrons, VLDL1, VLDL2, IDL, LDL, HDL particles, and their lipid concentrations were determined over a 6-h high-fat test meal with high or low-polyphenol content, according to the diet assigned. VLDL1 postprandial areas under the curve (AUCs) were lower for cholesterol (Chol) (1.48 ± 0.98 vs. 1.91 ± 1.13 mmol/L × 6 h, M ± SD, p = 0.014) and triglycerides (Tg) (4.70 ± 2.70 vs. 6.02 ± 3.07 mmol/L × 6 h, p = 0.005) after the HighP than after the LowP diet, with no changes in Chol/Tg ratio. IDL Chol AUCs were higher after the HighP than after the LowP diet (1.29 ± 0.77 vs. 1.01 ± 0.51 mmol/L × 6 h, p = 0.037). LDL Tg AUCs were higher after the HighP than after the LowP diet (1.15 ± 0.33 vs. 1.02 ± 0.35 mmol/L × 6 h, p

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.

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.

Background Overconsumption of dietary sugars, fructose in particular, is linked to cardiovascular risk factors such as type 2 diabetes, obesity, dyslipidemia and nonalcoholic fatty liver disease. However, clinical studies have to date not clarified whether these adverse cardiometabolic effects are induced directly by dietary sugars, or whether they are secondary to weight gain. Objectives To assess the effects of fructose (75 g day−1), served with their habitual diet over 12 weeks, on liver fat content and other cardiometabolic risk factors in a large cohort (n = 71) of abdominally obese men. Methods We analysed changes in body composition, dietary intake, an extensive panel of cardiometabolic risk markers, hepatic de novo lipogenesis (DNL), liver fat content and postprandial lipid responses after a standardized oral fat tolerance test (OFTT). Results Fructose consumption had modest adverse effects on cardiometabolic risk factors. However, fructose consumption significantly increased liver fat content and hepatic DNL and decreased β-hydroxybutyrate (a measure of β-oxidation). The individual changes in liver fat were highly variable in subjects matched for the same level of weight change. The increase in liver fat content was significantly more pronounced than the weight gain. The increase in DNL correlated positively with triglyceride area under the curve responses after an OFTT. Conclusion Our data demonstrated adverse effects of moderate fructose consumption for 12 weeks on multiple cardiometabolic risk factors in particular on liver fat content despite only relative low increases in weight and waist circumference. Our study also indicates that there are remarkable individual differences in susceptibility to visceral adiposity/liver fat after real-world daily consumption of fructose-sweetened beverages over 12 weeks.

Achieving optimal postprandial glucose control remains a major issue in people with type 1 diabetes (T1D), including those using innovative technologies (1,2). Eating pizza is challenging for patients with T1D (3) because of its high and extremely variable glycemic index (4) and prolonged postprandial hyperglycemia. Bread leavened by sourdough instead of brewer’s yeast may reduce postprandial glucose response (PGR), and duration of sourdough leavening could play a beneficial role (5). Whether this holds true for pizza and in patients with T1D is unknown. We compared PGR for pizzas differing in type and duration of dough leavening in 16 T1D patients (9 men, 7 women) on an insulin pump. The study was approved by the institutional ethics committee (reg. no. NCT03619031, ClinicalTrials.gov). According to a randomized crossover design, participants consumed—at home, on three nonconsecutive evenings over 3 weeks—a pizza prepared with 1 ) brewer’s yeast and wheat flour, 5-h leavening (usual leavening time) (Brew5); 2 ) sourdough and flour mix, 5-h leavening (Sour5); or 3 ) sourdough and flour mix, 60-h leavening (Sour60). Premeal insulin doses, calculated by the individual insulin–to–glycemic load ratio (2) (the same for each participant on the three occasions, range 6–14 IU) were given as an 80/20% dual-wave bolus extended for 4 h. PGR was evaluated by the real-time continuous glucose monitoring system (Dexcom, Guardian, or Freestyle) used by …

Background and aims Overweight/obesity is a clinical concern also in patients with Type 1 diabetes (T1DM). These patients' body weight may vary depending on whether treatment consists in continuous subcutaneous insulin infusion (CSII) or multiple daily injections (MDI), as these treatments lead to different blood glucose control, insulin doses, and eating behaviors. We compared long-term body weight trajectories in persons with diabetes on CSII or MDI regimens. Methods and results Annual changes in body weight, HbA1c, and daily insulin doses over 6–10 years were retrospectively analyzed in T1DM adult patients on CSII (n = 90) or MDI (n = 90), strictly matched for sex, age, BMI, and diabetes duration. Mean follow-up was 9.1 ± 1.4 years. Body weight increased linearly (∼0.5 kg per year) throughout the observation period (p = 0.001, repeated measures ANOVA) with no significant difference between the CSII and MDI cohorts (p = 0.74), in either normal-weight or overweight/obese patients. HbA1c over follow-up was lower with CSII than with MDI (p = 0.037), maintaining the initial reduction after starting pump therapy. Insulin doses over follow-up were stably lower than baseline (∼20%) with CSII, while linearly increasing (∼20% from baseline to the end of observation) with MDI (p = 0.002). Mean annual weight changes correlated directly with total insulin dose changes (r = 0.191; p = 0.011) and baseline HbA1c level (r = 0.267; p = 0.001), and inversely with HbA1c changes (−0.173; p = 0.021) and baseline age (r = −0.254; p = 0.001). Conclusion T1DM patients on CSII or MDI showed comparable body weight gain over a 10-year follow-up, despite improved glycemic control and decreased insulin doses with CSII.

Data from intervention studies about the effects of a high intake of whole-grain cereals on adiponectin expression are still inconclusive. We evaluated the effects of whole-grain or refined cereals on fasting and postprandial serum adiponectin in people at high cardiovascular risk. According to a randomised controlled parallel group design, participants with metabolic syndrome were assigned to an isoenergetic diet based on either whole-grain cereal (WGC) or refined cereal (RC) products for 12-weeks. Anthropometric and biochemical measures were taken. Compared to baseline, fasting and postprandial serum adiponectin levels increased after both RC and WGC. In the WGC and RC groups combined, adiponectin concentrations significantly increased after 12-week intervention, and are directly associated with plasma SCFAs and acetate. Only increasing whole-grain cereals may not influence adiponectin levels, which could be modified by a fibre rich, low-fat, low-glycemic index diet, possibly through changes in gut microbiota, as suggested by the relation with SCFAs. Clinical Trials number: NCT00945854. Data from intervention studies about the effects of a high intake of whole-grain cereals on adiponectin expression are still inconclusive. We evaluated the effects of whole-grain or refined cereals on fasting and postprandial serum adiponectin in people at high cardiovascular risk. According to a randomised controlled parallel group design, participants with metabolic syndrome were assigned to an isoenergetic diet based on either whole-grain cereal (WGC) or refined cereal (RC) products for 12-weeks. Anthropometric and biochemical measures were taken. Compared to baseline, fasting and postprandial serum adiponectin levels increased after both RC and WGC. In the WGC and RC groups combined, adiponectin concentrations significantly increased after 12-week intervention, and are directly associated with plasma SCFAs and acetate. Only increasing whole-grain cereals may not influence adiponectin levels, which could be modified by a fibre rich, low-fat, low-glycemic index diet, possibly through changes in gut microbiota, as suggested by the relation with SCFAs. Clinical Trials number: NCT00945854.

OBJECTIVE To evaluate whether fat quality, in the context of meals with high– (HGI) or low–glycemic index (LGI), influences postprandial blood glucose (PPG) response in patients with type 1 diabetes. RESEARCH DESIGN AND METHODS According to a randomized crossover design, 13 patients with type 1 diabetes on insulin pump consumed two series (HGI or LGI) of meals with the same carbohydrate quantity while differing for amount and quality of fat: 1) low in fat (“low fat”), 2) high in saturated fat (butter), or 3) high in monounsaturated fat (extra-virgin olive oil) (EVOO). Premeal insulin doses were based on insulin–to–glycemic load ratios. Continuous glucose monitoring was performed and 6-h PPG evaluated. RESULTS PPG was significantly different between HGI and LGI meals (P = 0.005 for time × glycemic index interaction by repeated-measures analysis [RMA]), being significantly higher during the first 3 h after the HGI meals with a later tendency to an opposite pattern. In the context of HGI meals, PPG was significantly lower after EVOO than after low fat or butter (P < 0.0001 for time × meal interaction by RMA), with a marked difference in the 0- to 3-h glucose incremental area under the curve between EVOO (mean ± SD 198 ± 274 mmol/L × 180 min) and either low fat (416 ± 329) or butter (398 ± 355) (P < 0.05). No significant differences were observed in PPG between the three LGI meals. CONCLUSIONS Carbohydrate quality of a mixed meal influences shape and extent of PPG. Besides, using EVOO in a HGI meal attenuates the early postprandial glucose response observed when this meal is consumed with either low fat or butter. Therefore, an optimal prandial insulin administration would require considering, in addition to the quantity of carbohydrates, the quality of both carbohydrate and fat.