Role of gut microbiota and its functional products in prenatal alcohol-induced anxiety-like behavior
Bibliographic record
Abstract
Prenatal alcohol exposure (PAE) has been shown to increase vulnerability to anxiety. Alterations in the gut microbiota and its functional products (i.e., short-chain fatty acids, SCFAs) are a potential mechanism underlying anxiety behaviors induced by PAE. Here, we used a rat model of PAE to examine the impact of alcohol consumption during gestation on anxiety-like behaviors, gut microbiota, and SCFA levels in adult male and female offspring. PAE male and female rats exhibited increased anxiety-like behavior on the open field test; moreover, control animals displayed striking sex differences in the light-dark test, but sex differences were attenuated among PAE males and females. Furthermore, using an anxiety index composed of open field and light-dark behaviors, we showed that PAE animals had higher anxiety scores compared to controls. PAE did not affect bacterial diversity and community structure; however, in males, PAE reduced the abundance of the Firmicutes phylum, increased the abundance of the Bacteroidota phylum, and decreased the abundance of the Lachnospiraceae NK4A136 group genus compared to controls. In females, PAE increased abundance of Turicibacter genus compared to controls. PAE did not affect fecal SCFA levels; however, lower levels of butyric and valeric acid were associated with higher anxiety among PAE females. This study identified several bacterial taxa and SCFAs potentially involved in the mechanisms through which PAE induces anxiety-like behaviors. These findings also underscore the importance of considering sex differences when assessing anxiety-like behavior and gut microbiota to identify potential biomarkers for interventions targeting mental health issues in individuals with PAE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".