Inhibition of fatty acid binding protein 5 prevents stress-induced anxiogenic and depressive-like symptoms through modulation of hippocampal neurogenesis, cannabinoid and neurotrophic signaling in the limbic circuitry
Bibliographic record
Abstract
The endocannabinoid (eCB) system modulates many biological processes, including adult neurogenesis, emotional behaviour and stress-related signaling pathways. Intrinsic levels of eCB ligands, such as anandamide, are regulated in part, by fatty acid binding protein 5 (FABP5), a chaperone protein that transports anandamide for hydrolysis. Here, using preclinical rodent models, we examined the effects of pharmacological FABP5 inhibition on anxiety- and depressive-like behaviours and associated molecular signaling pathways, following exposure to chronic stress. In addition, we investigated the impacts of chronic stress on hippocampal neurogenesis and how FABP5 inhibition may modulate stress-induced deficits in hippocampal neurogenic mechanisms. Remarkably, we report that anxiety- and depressive-like behaviours are strongly prevented by systemic FABP5 inhibition and associated with altered transcription of IGF-1, CB 2 and GPR 55 receptors as well as by altered phosphorylation of Erk1/2, Akt and p70S6 kinase pathways in the limbic circuitry. Finally, FABP5 inhibition potently blocked stress-induced reductions in hippocampal neurogenesis, identifying FABP5 inhibition as a promising pharmacotherapeutic candidate for stress-induced mood and anxiety symptoms. • FABP5 augments cerebral anandamide levels by transporting it to degradation. • FABP5 inhibition succesfully reversed stress-induced neurobehavioural pathology. • FABP5 inhibition concurrently prevented stress-induced inhibition of biomarkers of depression. • FABP5 may represent a novel target for treating mood/anxiety-related 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) | 0.000 | 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".