Behavioral Responses of <i> Vipr2 <sup>–/–</sup> </i> Mice to Light
Bibliographic record
Abstract
Vasoactive intestinal polypeptide and its receptor, VPAC2, play important roles in the functioning of the dominant circadian pacemaker, located in the hypothalamic suprachiasmatic nuclei (SCN). Mice lacking VPAC2 receptors (Vipr2-/-) show altered circadian rhythms and impaired synchronization to environmental lighting cues. However, light can increase phosphoprotein and immediate early gene expression in the Vipr2-/- SCN demonstrating that the circadian clock is readily responsive to light in these mice. It is not clear whether these neurochemical responses to light can be transduced to behavioral changes as seen in wild-type (WT) animals. In this study we investigated the diurnal and circadian wheel-running profile of WT (C57BL/6J) and Vipr2-/- mice under a 12-h light:12-h complete darkness (LD) lighting schedule and in constant darkness (DD) and used 1-h light pulses to shift the activity of mice in DD. Unlike WT mice, Vipr2-/- mice show grossly altered locomotor patterns making the analysis of behavioral responses to light problematic. However, analyses of both the onset and the offset of locomotor activity reveal that in a subset of these mice, light can reset the offset of behavioral rhythms during the subjective night. This suggests that the SCN clock of Vipr2-/- mice and the rhythms it generates are responsive to photic stimulation and that these responses can be integrated to whole animal behavioral changes.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".