Delayed ascorbate bolus protects against maldistribution of microvascular blood flow in septic rat skeletal muscle*
Bibliographic record
Abstract
OBJECTIVE: Although early administration of ascorbate has been shown to protect against the microvascular dysfunction in sepsis, it is not clear if a delayed introduction of ascorbate also yields beneficial effects. The main objective was to determine the therapeutic window for treatment of an animal model of sepsis with bolus injection of ascorbate. We also determined if sepsis per se affects urinary excretion of ascorbate. DESIGN: Prospective, controlled laboratory study. SETTING: Animal laboratory in a university-affiliated research institute. SUBJECTS: Male Sprague-Dawley rats, 300-400 g of body weight. INTERVENTIONS: Rats were made septic by cecal ligation and perforation (CLP) and volume resuscitated by continuous saline infusion. Ascorbate bolus (7.6 mg/100 g of body weight) or saline vehicle was injected intravenously at 1, 6, or 24 hrs after CLP. MEASUREMENTS AND MAIN RESULTS: At 24 hrs post-CLP, sepsis caused antidiuresis and decreased plasma ascorbate concentration, but it did not affect urinary excretion of ascorbate in rats that received only saline. Sepsis also caused maldistribution of capillary blood flow in skeletal muscle. This maldistribution of flow was prevented by ascorbate injected at 6 hrs post-CLP. At 48 hrs post-CLP, in addition to the flow maldistribution, sepsis caused systemic arterial hypotension and fever that were prevented by both immediate (1 hr post-CLP) and delayed injections of ascorbate (24 hrs post-CLP). CONCLUSION: Despite volume resuscitation, the present model of sepsis resulted in maldistribution of capillary blood flow within 24 hrs and hypotension within 48 hrs. Our finding that intravenous bolus of ascorbate can protect against these deficits even if delayed 6-24 hrs after the septic insult shows, for the first time, that ascorbate can reverse microcirculatory dysfunction after the onset of sepsis.
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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) | 0.001 | 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 | 0.001 | 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".