Anxiety associated with dietary intake and gut microbiome features in a cross-sectional cohort of sub-clinically anxious young women
Basso, M.; Hildebrand, F.; Winder, C.; Baker, D. J.; Manders, R.; Barberis, M.; Gibbons, S. M.; Cohen Kadosh, K.
Show abstract
Background Emerging evidence highlights the gut-brain axis as a key pathway linking diet and anxiety, yet the key determinants remain unclear. Most studies have focused on single components of diet and rarely integrate long- and short-term intake. Furthermore, prior gut-brain work has focused on microbiome composition, while functional features remain underexplored. In this study, we investigated associations between long- and short-term dietary intake, gut microbiome composition and functions, and anxiety in a subclinical cohort of 46 females (18-24 years) from the United Kingdom. Results Long-term diet quality was assessed using the Healthy Eating Index (HEI-2020) derived from a food frequency questionnaire, stratifying participants into lower and higher diet quality clusters. Short-term dietary intake was assessed via 24-hour recalls. Shotgun metagenomics of stool samples was used to assess differences in alpha and beta diversity indices, species abundances, and bacterial pathways putatively metabolizing gut-brain-axis-relevant molecules. Anxiety was measured using the State-Trait Anxiety Inventory (state subscale STAI-s). Regression models identified diet quality (HEI cluster) as the primary dietary feature of anxiety variation. The presence of Ruminococcus gnavus and Flavonifractor plautii and the abundances of Bilophila wadsworthia and Bacteroides thetaiotaomicron were positively associated with anxiety. The presence of Feacalibacterium prausnitzii and greater abundances of butyrate, propionate, and GABA synthesis pathways were inversely associated with anxiety. Non-linear models revealed a U-shaped relationship between inositol synthesis and STAI-s. Finally, we found that habitual diet quality may modulate anxiety-related responses to short-term dietary variation. Conclusions These findings reveal widespread links between long-term diet quality, microbiota composition and function, and anxiety symptoms. These results point towards several promising targets for prebiotic, probiotic, postbiotic, and dietary interventions aimed at reducing anxiety.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comparative Analysis of the Duodenojejunal Microbiome with the oral and fecal microbiome unveils its role in Human Severe Obesity 96%
- Gut microbiome shifts in adolescents after sleeve gastrectomy with increased oral-associated taxa and pro-inflammatory potential 95%
- Consumption of artificially sweetened beverages during pregnancy impacts infant gut microbiota and body mass index 95%
Similar papers in this journal
- Gut microbiota link dietary fiber intake and short-chain fatty acid metabolism with eating behaviour 95%
- Gut microbial taxa elevated by dietary sugar disrupt memory function 93%
- Role of Inflammation in Depressive and Anxiety Disorders, Affect, and Cognition: Genetic and Non-Genetic Findings in the Lifelines Cohort Study 92%
Similar papers in this journal
- Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression 94%
- Got Milk? Maternal immune activation during the mid-lactational period affects nutritional milk quality and adolescent offspring sensory processing in male and female rats 92%
- Maternal prenatal stress induces sex-dependent changes in tRNA fragment families and cholinergic pathways in newborns 91%
Similar papers in this journal
- Gut microbiome, diet and symptom interactions in irritable bowel syndrome 96%
- Microbiota responses to different prebiotics are conserved within individuals and associated with habitual fiber intake 96%
- Metabolite-based dietary supplementation in human type 1 diabetes is associated with microbiota and immune modulation 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.