Sex-specific blood-brain barrier alterations and vascular biomarkers underlie chronic stress responses in mice and human depression
Bibliographic record
Abstract
Prevalence, symptoms, and treatment of depression all point toward major sex differences. Social stress-induced neurovascular pathology is associated with depressive symptoms in male mice however it remains unknown if it contributes to this sexual dimorphism. Here, we report that chronic social and subchronic variable stress promoted sex-specific blood-brain barrier (BBB) molecular and morphological alterations in mood-related brain regions. Viral-mediated functional manipulation leading to a targeted disruption of the BBB induced anxiety- and depression-like behaviors including social avoidance and anhedonia. Endothelium cell-specific transcriptomic profiling revealed key pathways and novel genes involved in maladaptive stress responses vs resilience. We also confirmed BBB leakiness in the brain of stressed females which led us to explore and identify circulating vascular biomarkers of chronic stress that could inform on diagnosis and treatment. Importantly, these pre-clinical findings were validated in human blood and postmortem brain samples from depressed women, thus highlighting their translational value. By revealing a sex-specific causal role of BBB dysfunction in stress responses and depression, our results implicate vascular impairment as a major factor underlying mood disorders.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".