Depletion of neutrophils reduces neuronal degeneration and inflammatory responses induced by quinolinic acid <i>in vivo</i>
Bibliographic record
Abstract
The use of anti-neutrophil serum (anti-PMN) to induce neutropenia has been assessed for neuroprotection, modulation of microgliosis and astrogliosis, effects on oxidative stress, and intactness of blood-brain barrier (BBB) following injection of the excitotoxin quinolinic acid (QUIN) into rat striatum. At 1 day following QUIN injection, considerable striatal neurodegeneration was measured (Fluoro-Jade B marker). At this time, marked microgliosis (OX-42 marker) and astrogliosis (GFAP marker) were evident in QUIN-injected striatum. Treatment of QUIN-injected animals with anti-PMN protected neurons (48% reduction of striatal neuron loss) and inhibited microgliosis (61% reduction) and astrogliosis (43% reduction) compared with QUIN injection alone. Anti-PMN treatment was effective in decreasing levels of superoxide anions (by 42%) compared with QUIN alone; in addition, expressions of the neutrophil enzyme myeloperoxidase and the neutrophil oxidant 3-chlorotyrosine were markedly reduced (by 79 and 72%, respectively) with neutrophil depletion. QUIN-induced leakiness in BBB was indicated by elevated striatal levels of the blood protein fibrinogen, a result confirmed using Evans blue dye; anti-PMN was effective in reducing BBB permeability. Measurements from QUIN-injected animals directly confirmed anti-PMN efficacy in diminishing numbers of circulating neutrophils. Longer term neuroprotection and reduced microgliosis were also observed at 7 days post-injection of anti-PMN; at this time, anti-PMN-treated rats also demonstrated an improved apomorphine-induced rotational performance. We conclude that anti-PMN treatment could serve as a novel strategy to prevent leakiness to BBB, reduce gliosis, and protect striatal neurons in excitotoxin-injected brain.
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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 | 0.001 | 0.001 |
| 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".