The importance of calm mice: why should early life stress studies be conducted in an isolated quiet room
Bibliographic record
Abstract
Various models of early life stress (ELS) emphasize housing animals in a quiet and isolated room, undisturbed by or shared with other investigators. While increased human activity in animal housing facilities is known to affect an array of animal behavioural, metabolic, and physiological functions, whether it creates a stressful environment and affects the developmental trajectory of the immature brain is unknown. Here, we present data outlining the implication for housing immature mice in regular housing (RH) as compared to a separate quiet room (SQR) on α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) function during a critical period of brain development. The SQR had low traffic, was accessed by a single investigator, and housed a single rack, while the RH room was located in a high traffic area, shared by 16 investigators and staff, and housed 6 full racks. Using whole-cell patch-clamp recordings, we demonstrate that pups housed in RH show significant increases in AMPAR function in pyramidal neurons in both CA1 (p10-11) and layer IV auditory cortex (p12-15). Therefore, for ELS studies, considerations of traffic and noise levels should be taken when choosing animal housing. A quiet and separate room is required as additional stressors can permanently alter the maturation of glutamatergic synapses in the developing brain, potentially impacting research outcomes and subsequent interpretation.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".