Cross-sex cecal microbiota transfer alters depressive-like behaviours in mice
Bibliographic record
Abstract
Abstract Major depressive disorder (MDD) is a leading cause of non-fatal global disease burden, with females being two-fold more likely than males to be diagnosed with the disorder. Despite this distinct sex-linked disparity of diagnosis, it is unclear what underlies the sex bias of MDD prevalence. Recent findings suggest a role for the gut in mediating affective disorders through the gut-brain-axis (GBA). However, few studies have included sex as a biological variable. For this study, cross-sex transfer of cecal microbiota was performed between male and female C57Bl/6 mice to elucidate the effects of sex and the gut microbiome on a standard battery of tests measuring depressive-like behaviours. Specifically, regardless of sex, recipients of male cecal content had a greater sucrose preference than controls and recipients of female cecum. Conversely, in the splash test, recipients of female cecum displayed a decrease in grooming behaviour compared to both controls and recipients of male cecum, suggestive of an increase in depressive-like behaviour. These results support a role for female-specific gut microbes in contributing to female vulnerability to depression, while male-specific gut microbes may protect in part against an anhedonia-like phenotype
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".