Neuroprotective Effects of Coenzyme Q10 at Rostral Ventrolateral Medulla Against Fatality During Experimental Endotoxemia in the Rat
Bibliographic record
Abstract
Coenzyme Q10 (CoQ10, ubiquinone) is a highly mobile electron carrier in the mitochondrial respiratory chain that also acts as an antioxidant. We evaluated the neuroprotective efficacy of CoQ10 against fatality in an experimental model of endotoxemia that mimics systemic inflammatory response syndrome using a novel water-soluble formulation of this quinone derivative. Experiments were conducted in adult male Sprague-Dawley rats that were maintained under propofol anesthesia. Intravenous administration of Escherichia coli lipopolysaccharide (LPS; 30 mg/kg) induced progressive hypotension, with death ensuing within 4 h. The sequence of cardiovascular events during this LPS-induced endotoxemia can be divided into a reduction (Phase I), followed by an augmentation (Phase II; "pro-life" phase) and a secondary decrease (Phase III; "pro-death" phase) in the power density of the vasomotor components (0-0.8 Hz) of systemic arterial pressure signals. Pretreatment by microinjection bilaterally of CoQ10 (1 or 2 microg) into the rostral ventrolateral medulla (RVLM), the medullary origin of sympathetic vasomotor tone, significantly diminished mortality, prolonged survival time, and reduced the slope or magnitude of the LPS-induced hypotension. CoQ10 pretreatment also significantly prolonged the duration of and augmented the total power density of the vasomotor components of systemic arterial pressure signals in Phase II endotoxemia. The increase in superoxide anion production induced by LPS at the RVLM during Phases II and III endotoxemia was also significantly blunted. We conclude that CoQ10 provides neuroprotection against fatality during experimental endotoxemia by reducing superoxide anion production at the RVLM, whose neuronal activity is intimately related to the "life-and-death" process.
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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) | 0.001 | 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) | 0.001 | 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".