ApoA-I deficiency has a subtle effect on acute inflammatory responses after experimental Traumatic Brain Injury
Bibliographic record
Abstract
Cerebral vascular injury is a common phenomenon after traumatic brain injury (TBI), with complications including vascular inflammation, decreased cerebral blood flow, and increased vessel tortuosity following TBI. Promoting cerebrovascular health may therefore be a useful therapeutic intervention after TBI. High density lipoproteins (HDL) are an attractive target due to their vasoprotective and anti-inflammatory roles in periphery vessels, but little is known on whether these benefits extend to the brain. Recently, deficiency of ApoA-I, the major protein constituent of circulating HDL, was shown to increase vascular associated plaque load in Alzheimer’s Disease (AD) mice, which may imply a vessel protective function of ApoA-I in the brain. This study was designed to test the novel hypothesis that ApoA-I deficiency would worsen acute vascular and inflammatory outcomes in mice after Closed-Head Impact Model of Engineered Rotational Acceleration (CHIMERA) TBI. ApoA-I KO and WT mice underwent single moderate-severe TBI. Histopathological outcomes at 6hr and 2 days (2D) post injury were assessed. ApoA-I deficient mice exhibited greater ICAM-1 immunoreactivity at the cortex at 2D post TBI compared to WT controls, and a subtle increase in brain cytokine levels, potentially suggesting role of ApoA-I in protecting from TBI induced inflammation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".