Unhealthy behaviours, including diet and physical activity, coupled with genetic predisposition, drive type 2 diabetes (T2D) occurrence and severity; the present review aims to summarise the most recent nutritional approaches in T2D, outlining unmet needs. Guidelines consistently suggest reducing energy intake to counteract the obesity epidemic, frequently resulting in sarcopenic obesity, a condition associated with poorer metabolic control and cardiovascular disease. Various dietary approaches have been proposed with largely similar results, with a preference for the Mediterranean diet and the best practice being the diet that patients feel confident of maintaining in the long term based on individual preferences. Patient adherence is indeed the pivotal factor for weight loss and long-term maintenance, requiring intensive lifestyle intervention. The consumption of nutritional supplements continues to increase even if international societies do not support their systematic use. Inositols and vitamin D supplementation, as well as micronutrients (zinc, chromium, magnesium) and pre/probiotics, result in modest improvement in insulin sensitivity, but their use is not systematically suggested. To reach the desired goals, patients should be actively involved in the collaborative development of a personalised meal plan associated with habitual physical activity, aiming at normal body weight and metabolic control.

Background & Aims: There is intense research for drugs able to reduce disease progression in nonalcoholic fatty liver disease. We aimed to test the impact of novel antidiabetic drugs (dipeptidyl‐peptidase‐4 inhibitors – DPP‐4Is, glucagon‐like peptide‐1 receptor agonists – GLP‐1RAs, sodium‐glucose cotransporter‐2 inhibitors – SGLT‐2Is) on non‐invasive biomarkers of steatosis (fatty liver index, FLI) and fibrosis (Fibrosis‐4 score, FIB‐4) in patients with type 2 diabetes (T2D).Methods: Clinical, anthropometric and biochemical parameters were retrospectively analysed in 637 consecutive T2D patients switched from metformin w/wo sulfonylureas and/or pioglitazone to DPP‐4Is, GLP‐1RAs and SGLT‐2Is in a tertiary care setting. 165 patients maintained on original treatments served as controls. The effects on FLI and FIB‐4 at 6‐ and 12‐month follow‐up were analysed by logistic regression after adjustment for baseline differences, computed by propensity scores, and additional adjustment for changes in glycosylated hemoglobin (HbA1c) and body mass index.Results: Body mass index, HbA1c and aminotrasferases significantly decreased following switching to GLP‐1RAs and SGLT2‐Is, compared with both controls and DPP‐4Is, whereas only HbA1c was reduced on DPP‐4Is. FLI and FIB‐4 were reduced on GLP‐1RA and SGLT‐2I; logistic regression analysis confirmed a significant improvement of both biomarkers after adjustment for propensity score. The shift of FIB‐4 values towards the category ruling out advanced fibrosis was maintained after additional adjustment for confounders. These effects were confirmed in a sensitivity analysis on effect size.Conclusions: Glucagon‐like peptide‐1 receptor agonists and SGLT‐2Is improve biomarkers of steatosis and fibrosis, in keeping with beneficial effects on liver disease progression, and should be considered the treatment of choice in T2D.

Nonalcoholic fatty liver disease (NAFLD) is defined by hepatic steatosis in the presence of alcohol intake within safe limits, defined by guidelines of scientific associations (usually 20 g or 2 units/day in women, 30 g or 3 units in men). The diagnosis is usually followed by medical counseling of total abstinence, in order to prevent disease progression. This policy has been challenged by epidemiological studies, suggesting that the risk of liver disease and disease progression is lower in modest drinkers than in total abstainers. We revised the literature on the effects of modest alcohol intake on disease burden. Epidemiological data may suffer from several potential biases (recall bias for retrospective analyses, difficulties in the calculation of g/day), limiting their validity. Prospective data suggest that NAFLD patients with regular alcohol intake, although within the safe thresholds, are at higher risk of liver disease progression, including hepatocellular carcinoma; a detrimental effect of modest alcohol drinking is similarly observed in liver disease of viral etiology. Alcohol intake is also a risk factor for extrahepatic cancers, particularly breast, oral, and pharyngeal cancers, with gender difference and no floor effect, which outweigh the possible beneficial effects on cardiovascular system, also derived from retrospective studies. Finally, the negative effects of the calorie content of alcohol on dietary restriction and weight loss, the pivotal intervention to reduce NAFLD burden, should be considered. In summary, the policy of counseling NAFLD patients for alcohol abstinence should be maintained.

Background: Behavioral programs are needed for prevention and treatment of NAFLD and the effectiveness of a web-based intervention (WBI) is similar to a standard group-based intervention (GBI) on liver disease biomarkers. Objective: We aimed to test the long-term effectiveness of both programs on diabetes incidence, a common outcome in NAFLD progression. Methods: 546 NAFLD individuals (212 WBI, 334 GBI) were followed up to 60 months with regular 6- to 12-month hospital visits. The two cohorts differed in several socio-demographic and clinical data. In the course of the years, the average BMI similarly decreased in both cohorts, by 5% or more in 24.4% and by 10% or more in 16.5% of cases available at follow-up. After excluding 183 cases with diabetes at entry, diabetes was newly diagnosed in 48 cases during follow-up (31 (16.6% of cases without diabetes at entry) in the GBI cohort vs. 17 (9.7%) in WBI; p = 0.073). Time to diabetes was similar in the two cohorts (mean, 31 ± 18 months since enrollment). At multivariable regression analysis, incident diabetes was significantly associated with prediabetes (odds ratio (OR) 4.40; 95% confidence interval (CI) 1.97–9.81; p < 0.001), percent weight change (OR 0.57; 95% CI 0.41–0.79; p < 0.001) and higher education (OR 0.49; 95% CI 0.27–0.86; p = 0.014), with no effect of other baseline socio-demographic, behavioral and clinical data, and of the type of intervention. The importance of weight change on incident diabetes were confirmed in a sensitivity analysis limited to individuals who completed the follow-up. Conclusion: In individuals with NAFLD, WBI is as effective as GBI on the pending long-term risk of diabetes, via similar results on weight change.

Purpose: Very few data exist on the association between metabolic dysfunction-associated steatotic liver disease (MASLD) and eating disorders. The study aimed to evaluate the presence of binge eating disorder (BED), in MASLD subjects. Methods: Demographic, clinical investigation, anthropometric measurements and laboratory were collected in 129 patients with MASLD (34.1% males; age, 53.7 years; BMI, 34.4 kg/m²) addressed by general practitioners to a hospital-based unit of metabolic disorders. The risk of binge eating was tested by the binge eating scale (BES); values in the range 17–26 were considered “possible” BED, values > 26 were considered “probable” BED. Hepatic steatosis and fibrosis were tested by surrogate biomarkers and imaging (transient elastography). Calorie intake and lifestyle were self-assessed by questionnaires. Results: Possible BED was present in 17.8% of cases, probable BED in another 7.6%, and were neither associated with gender, obesity class, diabetes, features of metabolic syndrome, nor with presence and severity of hepatic steatosis and fibrosis. Also steatosis grade by CAP and fibrosis stage by liver stiffness did not correlate with BES. However, an association was present between the daily caloric intake and “possible” BED (odds ratio, 1.14; 95% confidence interval, 1.05–1.24; “probable” BED, 1.21; 1.07–1.37), after adjustment for confounders. Conclusion: Binge eating, as scored by BES, is present in a significant proportion of MASLD cases screened for metabolic disorders in a specialized center. It may impact behavioral treatment, reducing the chance of weight loss without systematic psychological support. Level of Evidence: Level III, cohort analytic study