ECE2020 Audio ePoster Presentations Diabetes, Obesity, Metabolism and Nutrition (285 abstracts)
1SCDU Pediatrics, University of Piemonte Orientale, Department of Health Sciences, Novara, Italy; 2SCDU Endocrinology, University of Piemonte Orientale, Department of Translational Medicine, Novara, Italy; 3University of Piemonte Orientale, Department of Sciences and Technological Innovation, Alessandria, Italy; 4University of Piemonte Orientale, Department of Health Sciences, Novara, Italy
Introduction: In the pediatric population the progression of obesity-related diseases can be delayed or prevented through changes in lifestyle, including the promotion of a Mediterranean-like dietary (MD) pattern.
Objective: We aimed to assess the efficacy of an educational training to MD based on gamification with respect to a conventional weight-loss treatment in obese pediatric subjects on weight decreased and cardiometabolic risk factors (GOOD-DAY Trial; NCT03154255). We also aimed to evaluate the modulation of gut microbiome ecology with respect to dietary changes and clinical parameters.
Methods: A total of 67out of planned 80 subjects (6 and 18 years) with obesity, diet naïve or with failure to a previous weight loss program have been already recruited. We collected auxological, metabolic and nutritional parameters (KIDMED score; IDEFICS food frequency questionnaire) every 3 months for 24 months. Stools were collected three times: at T0, after six months (T2), and 12 months (T4) of interventions (gamification on MD, GAME, or conventional diet loss program, NO GAME). DNA was extracted directly from 0.25 g of stool using the Power SoilRKit. DNA was amplified with primers for the V3 and V6 regions of 16S rDNA tagged with Multiplex Identifier sequences using Microbiota Solution B Kit optimized for Illumina Miseq sequencing. Raw FastQ sequences were analyzed using MicrobAT Software. Statistical analyses were performed using R software. Metabolomic analyses are ongoing.
Results: We present clinical data of the first 35 subjects who ended the study. The microbiome data were analyzed for all the subjects at baselines and 14 out of 35 who concluded the study at T2 and T4. At baseline, clinical, metabolic characteristics and microbial communities were homogeneous among children; unclassified Prevotella sp. were more present in prepubertal subjects. All the children decreased their weight, waist circumference ad glucose levels at fasting at T4. Total and LDL cholesterol decreased, and HOMA-beta increased only in GAME children at T4, irrespective of weight loss. At T4, Firmicutessp. increased and Bacteroides sp. decreased in the GAME group, diversely by NO GAME. The heatmap of the cluster revealed that, whether Bifidobacterium adolescentis increased in all the subjects over time, Actinobacteria and Bifidobacterium longum subsp. null also increased in the GAME group at T4.
Discussion: These preliminary results highlight the importance of adherence to the MD in weight loss, by improving some metabolic parameters. Gut microbiome seems could have a role on metabolic changes following lifestyle changes inspired to MD.