Early‐stage changes to neurovascular morphology and telemetric measurement of sympathetic nerve activity in streptozotocin‐induced diabetic rats
Bibliographic record
Abstract
Chronic sympathetic nerve overactivity is an established consequent of Type 1 Diabetes Mellitus (T1DM) and is known to induce both micro and macroangiopathy. Telemetry is used to monitor real‐time sympathetic nerve activity (SNA) to measure neuropathic progression in T1DM. This study aimed to examine changes in the neurovascular morphology of early‐stage streptozotocin (STZ)‐induced T1DM rats and determine if telemetry is sensitive to neuropathic changes in SNA. Animals were separated into control (C, n=9) and T1DM (D, n=9) groups. Diabetes was induced using multiple doses of STZ consisting of 20mg/Kg per day for 5 days. In three animals from each group, electrodes were placed around isolated renal nerves and telemeters were implanted abdominally. Measurements of SNA were recorded weekly over 12 hour periods. All animals were euthanized 6 weeks post STZ treatment. Compared to C, D showed a decrease in blood vessel number ( t (10) = 4.44, p < 0.001) and size ( t (10) = 3.60, p < 0.05), an increase in sympathetic fiber size ( t (9) = –2.34, p < 0.05) but no difference in fiber number in sciatic nerves. Despite these morphological changes, SNA in C and D was not statistically different in frequency or amplitude at any time‐point during the 6 week period. Though morphological changes are observed early in STZ diabetes, neurophysiological changes recorded by telemetry may be too slight or variable to be clearly distinguished.
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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 | 0.001 | 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) | 0.001 | 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".