Role of neuropeptide Y in emotional dysfunctional conditions
Bibliographic record
Abstract
Anxiety and depression are two highly debilitating disorders with high prevalence and co-morbidity with other mental and physical disorders. Current available treatments for these diseases present major caveats, thus the search for novel targets of treatment are the foremost challenges in health research. In this regard, the neuropeptide Y (NPY) system has emerged as a neuromodulator of emotional processing. This peptide mediates its effects by acting on its Y1, Y2 and Y5 receptor subtypes in the brain. However the contribution of each receptor subtype in emotional processes is still not clear, given their differential distribution in the brain as well as in the neuronal synapse. Therefore, the aim of the present study was to dissect the role of each of these receptor subtypes in animal models of emotional dysfunctional conditions. Of particular interest were, the Y1 agonist, Y2 antagonist as well as Y5 agonist as the mediators of emotional dysfunctional conditions. To investigate this, first we fully characterized an animal model of depression and anxiety, the olfactory bulbectomized (OBX) model. Following this characterization we observed that the administration of Y Y1-agonist reversed hyperlocomotion in open field test (OFT), reduced immobility time in the forced swim test (FST) and increased contacts in the social interaction test (SIT) in OBX rats, however, no effect was observed in corticosterone (CORT)-induced anxiety model. In addition, the Y2 antagonist decreased immobility in the FST in the OBX rat while increased social contacts in sham animals. Interestingly, this compound also induced an anxiolytic-related effect in CORT-treated rats. Meanwhile, the Y5 agonist decreased locomotion in OF and increased contacts in the SI test in the OBX rat, induced an anxiolityc-related effect in CORT-treated animals and increased body weight in control animals. Taken together, these results indicate that the treatment with molecules targeting different NPY receptor subtypes modulate different traits of anxiety and depression. In addition, antagonism of Y2 receptors elicits a potent effect regardless of the mental state of the animal while the treatment with Y1 or Y5 agonists induces differential effects depending on the situation. Thus, targeting these NPY receptors may be of pharmacotherapeutic relevance in the treatment of some forms of anxiety and depression in humans.
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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".