Calcium Dynamics in Hypothalamic Paraventricular Oxytocin Neurons and Astrocytes Associated with Social and Stress Stimuli
Bibliographic record
Abstract
Activation of hypothalamic paraventricular oxytocin (OXT PVN ) neurons by social or stress stimuli triggers OXT release to promote social investigation and buffer adverse effects of stress, respectively. Astrocytes, a type of glial cells, can bidirectionally interact with hypothalamic neurons to participate in local activity regulation within the paraventricular nucleus (PVN). It remains unknown whether contextual factors related to stimuli, as well as biological factors such as sex, influence OXT PVN neuronal or astrocyte activity and/or their interactions. To address this question, we performed dual-color fiber photometry in freely behaving male and female mice to simultaneously record Ca 2+ dynamics in OXT PVN neurons and astrocytes during acute social (i.e., interactions with familiar vs. unfamiliar conspecifics) and stress (i.e., looming shadow) stimuli. During social stimuli, we observed the most pronounced Ca 2+ changes in OXT PVN neurons in females, revealing sex and familiarity context specificity. No astrocyte Ca 2+ changes were detected in either sex regardless of conspecific familiarity. In contrast, looming shadow stress increased Ca 2+ in both OXT PVN neurons and astrocytes in both sexes during an active escape (“run”) strategy. Ca 2+ level changes in OXT PVN neurons and astrocytes were significantly correlated during social investigations in both sexes regardless of conspecific familiarity. During looming shadow, this functional coupling was only observed in females during active escape. Together, our results suggest that sex, context, and behavioral strategy serve as major factors that shape the activity of OXT PVN neurons and astrocytes, as well as their functional coupling, to potentially aid the adaptive response to social or stress stimuli.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".