The effect of Psilocybe cubensis alkaloids on depressive-like behavior in mice exposed to maternal separation with respect to hippocampal gene expression and DNA methylation of Slc6a4 and Nr3c1
Bibliographic record
Abstract
Maternal separation as an early life stress can lead to long-lasting deleterious effects on cognitive and behavioral functions, and the mood state. On the other hand, Psilocybe cubensis (as one of the most well-known magic mushrooms) may be beneficial in the improvement or the treatment of neuropsychiatric disorders. In the present study, we aimed to investigate the effect of P. cubensis extract (PCE) on depressive-like and anxiety-like behaviors, and locomotor activity in mice exposed to early maternal separation. Also, we assessed the expression and methylation level of Slc6a4 and Nr3c1 in the hippocampus. Maternal separation was done in postnatal days (PNDs) 2-18. PCE was intraperitoneally injected at the dose of 20 mg/kg at PND 60, and our tests were done at days 1, 3, and 10, of administration. The results showed that maternal separation significantly induced depressive-like behavior in the forced swim test and anxiety-like behavior in the open field test (OFT). Also, maternal separation decreased locomotor activity in the OFT. In addition, maternal separation decreased the expression and increased the methylation level of both Slc6a4 and Nr3c1 in the hippocampus. However, PCE significantly reversed all these effects. In conclusion, it seems that P. cubensis affects serotonergic signaling via altering Slc6a4 expression and methylation level in the hippocampus of mice. The effect of P. cubensis on Nr3c1 expression and methylation level may also lead to alter the function of the hypothalamus-pituitary-adrenal axis and the stress response in mice exposed to maternal separation.
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 | 0.001 |
| 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".