Microvascular Blood Flow Response to Hyperinsulinemic‐Euglycemic Clamp in Zucker Diabetic Sprague Dawley Rat Model of Type 2 Diabetes
Bibliographic record
Abstract
Objective Quantify and characterize the skeletal muscle microvascular blood flow in Zucker Diabetic Sprague Dawley (ZDSD) rat model of T2D at rest and during a hyperinsulinemic‐euglycemic clamp. Hypothesis Chronic hyperglycemia in the ZDSD rat model of T2D causes blunted capillary hemodynamic response to hyperinsulinemic‐euglycemic clamp compared to the age and diet matched control Sprague Dawley (SD) rats. Methods Biweekly blood glucose and conscious blood pressure measurements were collected from 7‐ to 25‐week‐old male SD (n=12) and ZDSD (n=18) rats. At 27 weeks of age, animals were fasted overnight prior to intravital video microscopy experiments. On the day of experiment animals were anaesthetized with an intraperitoneal injection of pentobarbital, tracheotomized, and carotid and external jugular cannulas were inserted to monitor physiological status and for administration of fluids. The extensor digitorum longus (EDL) muscle of the lower hind limb was isolated, blunt dissected and reflected over a glass coverslip on the stage of an inverted microscope. Recordings of the EDL were completed at baseline and during hyperinsulinemic‐euglycemic clamp. Hyperinsulinemic‐euglycemic clamp was achieved by continuous intravenous infusion of insulin (Humulin R 2U/hr/kg) and a 50% glucose mixture to titrate blood glucose to euglycemia (5‐7 mM). Mixed blood samples were collected from a tail clip to determine systemic blood glucose. Analysis of intravital videos were completed offline using custom MATLAB software. ZDSD rats that had fasting blood glucose of less than 20 mM at 19 weeks of age were excluded from the hyperglycemic group. Animals exhibiting aberrant microvascular blood flow at baseline or during euglycemic clamp were excluded from the data set. All animal protocols were approved by Memorial University of Newfoundland’s Animal Care and Use Committee. Results Hyperglycemic ZDSD rats had a significantly higher blood glucose than SD controls from 17 to 25 weeks old and at the beginning of euglycemic clamp (26.13 ± 0.97 and 5.95 ± 0.37, p < 0.0001, Fig 1A). SD rats had a significantly higher glucose infusion rate than ZDSD rats (22.58 ± 1.81 and 13.19 ± 2.76, p < 0.0001, Fig 1B). SD rats had a significant increase in red blood cell (RBC) velocity (149.8 ± 56.71 and 210.0 ± 62.14 µm/s, p = 0.0051, Fig 2A), RBC supply rate (SR) (12.49 ± 8.23 and 19.91 ± 12.25 cells/s, p = 0.004, Fig 2B) and RBC oxygen saturation(sO 2 ) (38.05 ± 11.65 and 45.70 ± 10.13, p = 0.014, Fig 2D) between baseline and euglycemia. However, ZDSD animals had no significant difference in RBC velocity (178.1 ± 63.91 and 194.7 ± 37.69 µm/s, p = 0.3683, Fig 2A), RBC supply rate (14.63 ± 7.55 and 20.03 ± 7.46 cells/s, p = 0.0704, Fig 2B), hematocrit (31.03 ± 3.23 and 33.02 ± 6.22 %, p = 0.4309, Fig 2C), and RBC sO 2 (61.91 ± 11.40 and 64.00 ± 11.59, p = 0.5324 Fig 2D). The RBC sO 2 was significantly higher in ZDSD than SD at baseline (61.91 ± 11.40 compared to 38.05 ± 11.65, p = 0.0166, Fig 2D). Conclusion SD rats had a robust increase in capillary hemodynamics during hyperinsulinemic‐euglycemic clamp. However, the skeletal muscle capillary hemodynamics of ZDSD rats did not significantly change between baseline and during euglycemia. These finding suggests a potential impairment in skeletal muscle microvascular blood flow response in this type 2 diabetic rodent mode. The elevated RBC sO 2 in ZDSD rats may indicate a dysregulation of capillary blood flow in the ZDSD model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".