Neuronal and Astrocytic Activity Changes Induced by Acute and Chronic Stress
Bibliographic record
Abstract
Abstract Exposure to acute, repeated, or chronic stress elicits a spectrum of cellular changes ranging from adaptive to maladaptive, including in the prefrontal cortex (PFC) where both neurons and astroglia undergo morphological, cellular and molecular remodeling. However, whether these alterations translate into altered cell activity and neuron-astroglia communication and how such changes evolve with recurrent stress or chronic stress exposure remains poorly understood. To address these questions, we used dual-color in vivo fiber photometry to longitudinally record PFC neuronal and astroglial calcium (Ca²⁺) signals in the same mice during a brief (tail pinch), sustained (immobilization) acute stress, repeated homotypic stress across weeks, and unpredictable chronic mild stress (UCMS), tracking of same cellular network across time. We found that acute stressors elicited coordinated increases in neuronal and astroglial Ca²⁺ activity and enhanced their Ca 2+ signal coupling. Repeated intermittent stress induced comparable per-cell-type responses but progressively strengthened coupling, suggesting adaptation. We also demonstrated that this trajectory is reversed under UCMS; neuronal Ca²⁺ reactivity to stress challenge was sensitized whereas astroglial reactivity was blunted. This was associated with a weakened intercellular coupling (−3.5 fold) and astroglia became progressively hyporesponsive to neuronal drive. UCMS-induced neuron-astroglia functional coupling impairment coincided with the onset of anhedonia- and anxiety-like behavioral deficits. These findings position impaired neuron-astroglial functional coupling as a potential substrate of stress-induced cortical dysfunction that may distinguish adaptive from maladaptive stress responses, offering a mechanistically tractable target for intervention in stress-related psychiatric disease such as depression, where dysfunction in both cell types has been consistently reported.
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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 | 0.000 |
| 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".