Investigating the hemodynamic parameters involved in microvasculature O2 regulation in skeletal muscle of Zucker Diabetic Fatty rat exposed to surface hypoxia
Bibliographic record
Abstract
Pre‐diabetes is marked with elevated insulin levels that attenuate ATP release from red blood cells (RBCs) in response to hypoxia. In our lab using 7 week old Zucker Diabetic Fatty (ZDF) obese rats we have observed a significant reduction in RBC velocity (Vel), supply rate (SR) and O 2 saturation in skeletal muscle resulting in a decreased capillary O 2 supply compared to control animals (ZDF lean). To test whether pre‐diabetic animals can support the tissue metabolic demand, a custom O 2 exchange gas chamber was used to create a hypoxic (HX) challenge by altering pO 2 at the surface of exposed skeletal muscle from 55 to 15 mmHg for 2 minutes and back 55. Hemodynamic data for each capillary segment for each pO 2 was quantified with intravital video microscopy and a functional image analysis system. Previous analysis indicates that mean SR for each pO 2 significantly differed within the lean group (p=0.0011), but not within the obese group. The data was reanalyzed to determine whether Vel or hematocrit (Hct) contribute to the SR change. Hct but not Vel, significantly increased in response to the hypoxic challenge in the lean group (p=0.0003). In the obese group neither Vel or Hct responded to the hypoxia. This suggests that Hct contributes to O 2 regulation and that in pre‐diabetes the O 2 regulatory mechanisms of the microvasculature are impaired and unable to support a hypoxic challenge. (NIH R33 HL089094 ).
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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) | 0.002 | 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".