Background Individual diet components and specific dietary regimens have been shown to impact the gut microbiome. Objective Here, we explored the contribution of long-term diet by searching for dietary patterns that would best associate with the gut microbiome in a population-based cohort. Methods Using a priori and a posteriori approaches, we constructed dietary patterns from a food frequency questionnaire completed by 1800 adults in the American Gut Project. Dietary patterns were defined as groups of participants or combinations of food variables (factors) driven by criteria ranging from individual nutrients to overall diet. We associated these patterns with 16S rRNA-based gut microbiome data for a subset of 744 participants. Results Compared to individual features (e.g., fiber and protein), or to factors representing reduced number of dietary features, five a posteriori dietary patterns based on food groups, were best associated with gut microbiome beta-diversity (P ≤ 0.0002). Two patterns followed Prudent-like diets from plant-based to flexitarian and exhibited the highest Healthy Eating Index 2010 (HEI-2010) scores. Two other patterns presented Western-like diets with a gradient in HEI-2010 scores. A fifth pattern consisted mostly of participants following an exclusion diet (e.g., low-carbohydrate). Notably, gut microbiome alpha-diversity was significantly lower in the most Western pattern compared to the flexitarian pattern (P ≤ 0.009), and the exclusion diet was associated with low relative abundance of Bifidobacterium (P ≤ 1.2 × 10–7), which was better explained by diet than health status. Conclusions We demonstrated that global-diet a posteriori patterns were more associated with gut microbiome variations than individual dietary features among adults in the United States. These results confirm that evaluating diet as a whole is important when studying the gut microbiome. It will also facilitate the design of more personalized dietary strategies in general populations.
This study evaluated the association between dietary patterns, Gas-Related Symptoms (GRS) and their impact on quality of life (QoL) in a representative sample (n=936) of the French adult population. During the 2018-2019 “Comportements et Consommations Alimentaires en France” (CCAF) survey (Behaviors and Food Consumption in France), online evaluation of GRS in adult participants was performed using the validated Intestinal Gas Questionnaire (IGQ), which captures the perception of GRS and their impact on QoL via 6 symptom dimensions scores (range 0-100; 100=worse) and a global score (mean of the sum of the 6 symptom dimensions scores). Socio-demographics, lifestyle parameters and dietary habits (7-day e-food diary) were also collected online. Quality of diet was determined using the NRF9.3 score (range 0-900; 900=best). Univariate and multivariate linear regression models were applied to identify factors associated with IGQ global score. K-means was used to identify clusters of subjects based on their dietary records. Data from 936 adults who completed both the IGQ and the food diary showed a mean (SD) IGQ global score of 11.9 (11.2). Younger age and female gender were associated with a higher IGQ global score. Only 7% of subjects reported no symptom at all and nearly 30% of study participants reported a high impact of GRS on their QoL. Two dietary clusters were identified: cluster1, characterized by a higher consumption of fruits and vegetables, lower sugars intake and higher NRF9.3 score and cluster 2, characterized by higher intake of sugars, lower intake in dietary fibers and lower NRF9.3 score. The IGQ global score was lower in cluster1 and higher in cluster2 vs. the total sample average (p<0.001). Prevalence of GRS in the French adult population is high and is associated with impaired QoL and dietary patterns. A change in food habits towards healthier patterns could help reducing the burden of GRS.
Objectives Eating habits have been shown to impact the gut microbiome. Here we aimed to define several types of dietary patterns in a U.S. adult cohort and test their associations with the gut microbiome. Methods Using supervised and unsupervised approaches, we built dietary patterns based on a food frequency questionnaire of the American Gut Project database. Focusing on 1800 adult participants living in the United States, we defined patterns as partitions (groups of participants) or factors (combinations of food variables) driven by specific dietary criteria: fibers, proteins, Healthy Eating Index (HEI 2010), food items, food groups and micronutrients. We then associated these patterns with 16S gut microbiome data for 744 participants, excluding those reporting antibiotic intake in the last year or specific diseases. Analyses were adjusted for age, sex and BMI. Results Compared to individual features like fibers and proteins, or to factors representing reduced numbers of features, five unsupervised partitions based on food groups were best associated with gut microbiome beta-diversity. Two partitions presented a lower consumption of animal products, with one being almost completely exclusive and the other, close to a flexitarian diet, presenting the best diet quality as measured by HEI. A third one consisted mostly of participants under low carbohydrate diets with nearly no consumption of starchy foods or sweet products. Finally, the last two partitions presented Western-like diets with increased consumption of mixed dishes, sweet products and refined cereals, one of them being more diverse with increased nuts and whole cereals. Gut microbiome alpha-diversity was slightly increased in the flexitarian partition compared to the most westernized one. Strikingly, the low carbohydrate partition was associated with low levels of the Bifidobacterium genus. Conclusions We showed in a U.S. adult cohort that a global diet may be more associated with gut microbiome variations than individual features like fibers or proteins. Five diet partitions were identified and their specific associations with gut microbiome were studied. These results confirm the importance to consider diet as a whole when studying gut microbiota diversity. Funding Sources Danone Research.
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