Specific gut microbial, biological, and psychiatric profiling related to binge eating disorders: A cross-sectional study in obese patients.

BACKGROUND & AIMS: Binge eating disorder (BED) is a frequent eating disorder associated with obesity and co-morbidities including psychiatric pathologies, which represent a big health burden on the society. The biological processes related to BED remain unknown. Based on psychological testing, anthropometry, clinical biology, gut microbiota analysis and metabolomic assessment, we aimed to examine the complex biological and psychiatric profile of obese patients with and without BED. METHODS: Psychological and biological characteristics (anthropometry, plasma biology, gut microbiota, blood pressure) of 101 obese subjects from the Food4Gut cohort were analysed to decipher the differences between BED and Non BED patients, classified based on the Questionnaire for Eating Disorder Diagnosis (Q-EDD). Microbial 16S rDNA sequencing and plasma non-targeted metabolomics (liquid chromatography-mass spectrometry) were performed in a subcohort of 91 and 39 patients respectively. RESULTS: BED subjects exhibited an impaired affect balance, deficits in inhibition and self-regulation together with marked alterations of eating behaviour (increased emotional and external eating). BED subjects displayed a lower blood pressure and hip circumference. A decrease in Akkermansia and Intestimonas as well as an increase in Bifidobacterium and Anaerostipes characterized BED subjects. Interestingly, metabolomics analysis revealed that BED subjects displayed a higher level of one food contaminants, Bisphenol A bis(2,3-dihydroxypropyl) ether (BADGE.2H(2)O) and a food derived-metabolite the Isovalerylcarnitine. CONCLUSIONS: Non-targeted omics approaches allow to select specific microbial genera and two plasma metabolites that characterize BED obese patients. Further studies are needed to confirm their potential role as drivers or biomarkers of binge eating disorder. Food4gut, clinicaltrial.gov:NCT03852069, https://clinicaltrials.gov/ct2/show/NCT03852069.

Link between gut microbiota and health outcomes in inulin -treated obese patients: Lessons from the Food4Gut multicenter randomized placebo-controlled trial.

BACKGROUND: The gut microbiota is altered in obesity and is strongly influenced by nutrients and xenobiotics. We have tested the impact of native inulin as prebiotic present in vegetables and added as a supplement on gut microbiota-related outcomes in obese patients. Metformin treatment was analyzed as a potential modulator of the response. METHODS: A randomized, single-blinded, multicentric, placebo-controlled trial was conducted in 150 obese patients who received 16 g/d native inulin versus maltodextrin, coupled to dietary advice to consume inulin-rich versus -poor vegetables for 3 months, respectively, in addition to dietary caloric restriction. Anthropometry, diagnostic imaging (abdominal CT-scan, fibroscan), food-behavior questionnaires, serum biology and fecal microbiome (primary outcome; 16S rDNA sequencing) were analyzed before and after the intervention. RESULTS: Both placebo and prebiotic interventions lowered energy intake, BMI, systolic blood pressure, and serum γ-GT. The prebiotic induced greater weight loss and additionally decreased diastolic blood pressure, AST and insulinemia. Metformin treatment compromised most of the gut microbiota changes and metabolic improvements linked to prebiotic intervention. The prebiotic modulated specific bacteria, associated with the improvement of anthropometry (i.e. a decrease in Desulfovibrio and Clostridium sensu stricto). A large increase in Bifidobacterium appears as a signature of inulin intake rather than a driver of prebiotic-linked biological outcomes. CONCLUSIONS: Inulin-enriched diet is able to promote weight loss in obese patients, the treatment efficiency being related to gut microbiota characteristics. This treatment is more efficacious in patients who did not receive metformin as anti-diabetic drugs prior the intervention, supporting that both drug treatment and microbiota might be taken into account in personalized nutrition interventions. Registered under ClinicalTrials.gov Identifier no NCT03852069.

Does immersion or detachment facilitate healthy eating? Comparing the effects of sensory imagery and mindful decentering on attitudes and behavior towards healthy and unhealthy food.

Many people would like to reduce indulging in unhealthy foods, but find it difficult to do so. Previous research shows that individuals eat smaller portions of unhealthy hedonic food if they first imagine the sensory properties of tempting food (sensory imagery; Cornil & Chandon, 2016). Similarly, they show less preference for such food if they think about food in a detached way (decentering; Papies, Barsalou, & Custers, 2012; Papies, Pronk, Keesman, & Barsalou, 2015). Given that these two mindsets are seemingly at odds with each other, we compared them across two studies to examine their effects on the preference for (Experiment 1) and consumption of (Experiment 2) hedonic healthy and unhealthy food. Although sensory imagery and decentering had largely different effects for preferences towards healthy and unhealthy foods, they had comparable effects on the consumption of both types of foods, serving to reduce the effects of consumption in participants affected by hunger and emotional eating. These results suggest that while sensory imagery and decentering are based on different mechanisms, they produce similar results when it comes to the consumption of hedonic food, regardless of how healthy the food is.

Label reading, numeracy and food & nutrition involvement.

The purpose of this study was to investigate objective performance on a nutrition label comprehension task, and the influence of numeracy and food-related involvement on this performance level. A pilot study (n = 45) was run to prepare the scales in French. For the main study (n = 101), participants provided demographic information and answered the nutrition label survey, the short numeracy scale and two different food-related involvement scales (i.e. the food involvement scale and the nutrition involvement scale). Both studies were conducted online, and consent was obtained from all participants. Participants answered correctly only two-thirds of the nutrition label task items. Numeracy and food involvement scores were positively correlated with performance on this task. Finally, food involvement interacted with numeracy. Specifically, people scoring low in numeracy performed generally more poorly on the task, but if they had high food involvement scores, their performance increased. This suggests that high food-related motivation may compensate for poor numeracy skills when dealing with nutrition labels.