Western diet-induced anxiolytic effects in mice are associated with alterations in tryptophan metabolism
Bibliographic record
Abstract
Objectives: Western-style diets high in saturated fat and refined carbohydrate have been shown to alter gut microbiota as well as being associated with altered behaviour and learning ability. The objective of this study was to determine the effects of short-term intake of a Western-style diet on intestinal cytokine expression, tryptophan metabolism, and levels of neurotransmitters in the brain.Methods: At 7 weeks of age, 129S1/SvImJ mice were placed on a standard chow or Western-style diet (fat 33%, refined carbohydrates 49%) for 3 weeks. Anxiety-like behaviour was assessed by the latency to step-down test and exploration assessed in a Barnes maze. Neurotransmitter levels in forebrains were analysed by high-pressure liquid chromatography. Liver metabolism was examined by 1H nuclear magnetic resonance (NMR). Cytokine expression in the intestine was measured using MesoScale discovery platform. mRNA levels of tryptophan hydroxylase (Tph) and indoleamine 2,3-dioxygenase (IDO) in the brain and intestine were measured using qPCR.Results: Results showed that mice fed the Western diet displayed reduced exploratory and anxiety-like behaviour. Anxiolytic effects correlated with increased hippocampal brain-derived neurotrophic factor (BDNF) and tryptophan levels. Brain serotonin was not altered. These changes were associated with reduced expression of small intestinal indoleamine 2,3-dioxygenase, a tryptophan-processing enzyme. Western diet-fed mice exhibited low-grade systemic and intestinal inflammation along with altered liver metabolic profiles.Discussion: In conclusion, diets high in fat and refined sugar are associated with increased levels of brain BDNF and tryptophan and decreased exploratory and anxiety-like behaviour. These behavioural changes correlated with altered intestinal tryptophan metabolism and liver metabolic profiles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".