The effect of chronic low grade hyperglycemia on basal nerve blood flow values in Sprague‐Dawley rats
Bibliographic record
Abstract
We tested the hypothesis that nerve blood flow (NBF) is reduced in Sprague‐Dawley rats with chronic low grade hyperglycemia (LGH). Rats (N=12; 507±61 g) were divided into 2 groups; control and LGH (streptozotocin: daily injection 20 mg/kg for 5 days; subcutaneous insulin pellet implant: 1 IU/12 h; fed state blood glucose=9–14 mmol/L). After 11 weeks, rats were anaesthetized, the right jugular vein was cannulated (for sodium nitroprusside; 60 ug/kg and phenylephrine; 12 ug/kg infusions) and the right carotid artery was cannulated (for continuous measurement of blood pressure; MAP). Nerve blood flow velocity (NBV) was measured (Doppler ultrasound; 40‐MHz Visualsonics Vevo 2100) in the left sciatic nerve supply artery before and during drug infusions. An index of sciatic nerve vascular conductance (NVC) was calculated (NBV/MAP). Regression analysis of the ΔNBV vs. ΔMAP was used to study the autoregulatory index. Basal NVC was similar between groups (control=0.83±0.14 vs LGH=0.77±0.16 mm/s/mmHg; P=0.50). The slope (control=1.00±0.24 vs LGH=0.94±0.21; P=0.57) and y‐intercept (control= −1.34±4.52 vs LGH= −0.87±2.92; P=0.83) of the autoregulatory index were similar between groups. These data suggest that NBF is not reduced in LGH rats. Funded by CIHR.
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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 | 0.001 |
| 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".