Profiling of the Gut Microbiome in Children With Prader-Willi Syndrome: a Fiber Intervention to Target Hyperphagia (AIM 2)
Profiling of the Gut Microbiome in Children With Prader-Willi Syndrome: a Fiber Intervention to Target Hyperphagia (AIM 2)
Prader-Willi syndrome (PWS) is the most common syndromic cause of obesity. Individuals with PWS characteristically experience excessive weight gain and severe hyperphagia with food compulsivity in early childhood, which often leads to the onset of obesity and metabolic complications. The pathogenesis of hyperphagia and progressive weight gain in PWS is far from being understood, and thus efficacious interventions are still under development. Emerging evidence indicates an important etiological contribution of dysbiotic gut microbiota in the hyperphagia, obesity and metabolic abnormalities associated with PWS, implicating a potentially effective target for appetite control and alleviation of obesity in PWS. This study aims to evaluate whether dietary fibers can improve hyperphagia and metabolic profile in children with PWS, and further will determine if these improvements correlate with dietary-fiber-induced changes of the gut microbiota. Twenty children with PWS (age 5-17 years) will receive 3-week fiber or placebo treatment and 3-week alternate treatment with a 4-week washout period in between. A validated PWS-specific hyperphagia questionnaire will be used to assess the severity of hyperphagia in participants. Fasting blood and fecal samples will be collected for the analyses of appetite-related hormones, metabolic biomarkers, bacterial composition and gut metabolites. This study should provide potential new approaches for effective non-pharmacologic treatment of excessive weight gain and hyperphagia associated with PWS to improve overall health and quality of life in affected patients.
Background: Prader-Willi syndrome (PWS) is the most common syndromic cause of obesity. Individuals with PWS characteristically experience excessive weight gain and severe hyperphagia with food compulsivity in early childhood, which often leads to the development of obesity and metabolic complications. The pathogenesis of hyperphagia and progressive weight gain in PWS is far from being understood, and thus efficacious interventions are still being developed. Emerging evidence indicates an important etiological contribution of dysbiotic gut microbiota to the hyperphagia, obesity and metabolic abnormalities associated with PWS, implicating a potentially effective target for appetite control and alleviation of obesity in PWS. The therapeutic potential of manipulating gut microbiota through diet has been scarcely assessed in PWS; more comprehensive evaluations are greatly needed.
Specific objectives: 1) to assess the effects of a 3-week dietary fiber intervention on gut microbiota, hyperphagia, and metabolic profile in children with PWS; 2) to determine whether changes in gut microbial composition and function correlate with changes in the degree of hyperphagia, metabolic hormones, insulin sensitivity, inflammatory markers, and metabolites implicated in cardiometabolic diseases.
Methodological Approach: In a cross-sectional design, 20 children with PWS aged 5 to 17 years will be recruited from the Stollery Children's Hospital, Edmonton. Eligible participants will have normal values of free thyroxine and thyroid-stimulating hormone (either endogenous or with thyroxine replacement) as well as stable body weight and growth hormone dose. Children with other clinically significant disease (diabetes mellitus, chronic inflammatory bowel disease, chronic severe liver or kidney disease), or recent use of medications known to affect body weight and gut microbiota (investigational drugs, antibiotics, prebiotic and/or probiotic supplements) will be excluded. Participants will be randomly assigned to consume either 35 g supplemental fiber mixture/d (oligofructose, resistant maltodextrin, acacia gum, whole foods, and resistant starch type II) or an equicaloric dose of a 17.6-g maltodextrin placebo/d (GLOBE® Plus 10 DE Maltodextrin 100200; Ingredion) for 3 wk. This will be followed by a 4-wk washout period and an alternate treatment for another 3 wk. Fecal samples will be collected to analyze gut microbiota composition (using 16S ribosomal ribonucleic acid [rRNA] tag sequencing) and function (metabolites produced by microbiota: SCFAs and bile acids). Microbiota composition will be characterized at phylum to genus level, and sequences will be clustered to Operational Taxonomic Units to calculate alpha-diversity (by Shannon index). Fasting blood samples will be used to measure appetite-related hormones, and metabolic and inflammatory markers. A validated PWS-specific hyperphagia questionnaire will be used to assess participants' food-related behaviors. A 3-day dietary record including physical activity questions will be administered for the assessment of macro- and-micronutrient intake and diet quality as well as physical activity level of the participants. In addition, anthropometric data (body weight, height and waist circumference [WC]) will be obtained to track changes.
Outcomes: 1) Primary outcome: Change in hyperphagia score; 2) Secondary outcomes: Changes in: a. Fecal microbial composition and function; b. Hormones (acylated ghrelin, PYY, GLP-1, adiponectin and leptin; c. Metabolic and inflammatory markers (glucose, insulin, lipids, AST, ALT, hs-CRP); d. Metabolomics profile (amino acids, branched chain keto acids, acylcarnitines, ceramides, TMAO, choline and betaine); and e. body weight, height and WC.
Deliverables: 1) the feasibility of using a fiber intervention to reduce hyperphagia and improve metabolism and inflammation via beneficial changes in the microbiota in children with PWS; 2) the particular microbial composition and functional profiles associated with metabolic improvement and/or weight loss can aid in the future development of microbial-targeted prebiotic therapies. Results from this study will be used to guide the design of effective treatment strategies to reduce hyperphagia and improve metabolic health in children with PWS.
Inclusion Criteria:
Exclusion Criteria: