Information Processing in Affective Disorders: Did an Ancient Peptide Regulating Intercellular Metabolism Become Co‐Opted for Noxious Stress Sensing?
Bibliographic record
Abstract
Affective disorders arise in stressful situations from aberrant sensory information integration that affects energetic nutrient (i.e., glucose) utilization to the cognitive centers of the brain. Because energy flow is mediated by molecular signals and receptors that evolved before the first complex brains, the phylogenetically oldest signaling systems are essential in the etiology of affective disorders. The corticotropin-releasing factor (CRF) peptide subfamily is a phylogenetically old metazoan peptide family and is pivotal for regulating organismal energy response associated with stress. Highly conserved, both the CRF peptide family and its receptors possess a structural relationship to the teneurins, and their receptors, latrophilins, respectively. The CRF homologous region of teneurin is defined as the "teneurin C-terminal associated peptide" (TCAP) and antagonizes CRF action, regulates mitochondrial energy production, and is anxiolytic in vivo. Here, it is postulated that TCAP represents an ancient peptide that mediates intercellular information transfer of stressful and noxious events by regulating energy utilization among neurons.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".