Pervasive neurovascular dysfunction in the ventromedial prefrontal cortex of female depressed suicides with a history of childhood abuse
Bibliographic record
Abstract
Abstract Exposure to early life adversity (ELA) poses a significant global public health concern, with profound pathophysiological implications for affected individuals. Studies suggest that ELA contributes to endothelial dysfunction, bringing into question the functional integrity of the neurovascular unit in brain regions vulnerable to chronic stress. Despite the importance of the neurovasculature in maintaining normal brain physiology, human neurovascular cells remain poorly characterized, particularly with regard to their contributory role in ELA-associated pathophysiologies. In this study, we present the first comprehensive transcriptomic analysis of intact microvessels isolated from postmortem ventromedial prefrontal cortex samples from adult healthy controls (CTRL) and matched depressed suicides with histories of ELA. Our findings point to substantive differences between men and women, with the latter exhibiting widespread gene expression changes at the neurovascular unit, including the key vascular nodal regulators KLF2 and KLF4 , alongside a broad downregulation of immune-related pathways. These results suggest that the neurovascular unit plays a larger role in the neurobiological consequences of ELA in human females.
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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".