Morinda officinalis oligosaccharides alleviate chronic unpredictable mild stress-induced depression through the BDNF/TrkB/CREB pathway and symptoms of sexual dysfunction in mice
Bibliographic record
Abstract
Background In recent years, depression has become a global public health concern, and one of the common concomitant symptoms are diminished sexual motivation and impaired sexual performance. The aim of this study was to investigate the potential effects of Morinda officinalis oligosaccharides (MOO) on depression and its concomitant symptom, sexual dysfunction. Methods Chronic unpredictable mild stress (CUMS)-induced depression model was constructed, and the effects of MOO on depression and sexual abilities were evaluated. Results The results revealed that MOO was able to alleviate CUMS-induced depression-like behavior in mice, to inhibit hippocampal neuron apoptosis, to reverse monoamine neurotransmitter imbalance, increase Brain-derived neurotrophic factor (BDNF) expression levels in the hippocampus, to modulate the composition and distribution of gut microbiota, and to increase the abundance of probiotics after continuous gavage of MOO for 28 days. MOO further confirmed that sexual dysfunction is closely related to the development of depression by improving the lack of sexual motivation and low sexual performance in CUMS-induced depressed mice, modulating the disruption of sex hormone secretion in serum, and alleviating sperm morphology and functional defects in the epididymis. Conclusion These findings on MOO provide a basis for exploring its antidepressant mechanism, its use to improve hypogonadotropic symptoms, and for future development of new antidepressant drug to improves hypogonadotropic symptoms.
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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 | 0.000 |
| 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".