A divergent astrocytic response to stress alters activity patterns via distinct mechanisms in male and female mice
Bibliographic record
Abstract
The lateral hypothalamus is a brain region that regulates activity levels, circadian, and motivated behaviour. While disruption of these behaviours forms a hallmark of stress-related neuropsychiatric disorders, the underlying cellular mechanisms of how stress affects this brain region remain poorly understood. Here, we report that the effects of stress on behavioural activity levels correlate with spontaneous firing of orexin neurons, inducing hyperactivity in males and hypoactivity in female mice. These neuronal changes are accompanied by astrocyte remodelling, with causal manipulations identifying lateral hypothalamic astrocytes as key regulators of neuronal firing and physical activity patterns. In the context of stress, sex-specific changes in orexin neuron firing were driven by distinct astrocytic mechanisms with elevated purinergic signaling in male mice and reduced extracellular L-lactate in female mice. Finally, we show that genetic deletion of glucocorticoid receptors in lateral hypothalamic astrocytes restores key aspects of astrocyte morphology, rescues the effects of stress on orexin neuron firing, and recovers activity levels in both males and females. Overall, these data causally implicate astrocytes in the regulation of orexin neuron firing, behavioural activity patterns, and reveal that astrocytes are primary drivers of stress-induced behavioural change.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".