TISSUE‐ AND FIBRE‐SPECIFIC MODIFICATIONS OF INSULIN‐SIGNALLING MOLECULES IN CARDIAC AND SKELETAL MUSCLE OF DIABETIC RATS
Bibliographic record
Abstract
1. Levels of insulin-signalling molecules are altered in streptozotocin (STZ)-induced diabetes, a model of Type 1 diabetes. However, the tissue-specific regulation of these changes and the effect of insulin supplementation on signalling molecule protein levels have not been well characterized. 2. In the present study, we evaluated the level of proximal insulin-signalling intermediates in the heart and in red and white gastrocnemius muscles of 2 week diabetic rats and diabetic rats supplemented with insulin. 3. Diabetes augmented levels of the insulin receptor and the p85 regulatory subunit of phosphatidylinositol 3-kinase in the red gastrocnemius, but not in the white gastrocnemius or the heart. Furthermore, diabetes reduced insulin receptor substrate-1 levels in both the red and white gastrocnemius, but not in the heart. Examination of the levels and basal activities of distal insulin-signalling intermediates (protein kinase B (PKB)/Akt, extracellular signal-regulated kinase (ERK) 1/2, p38 mitogen-activated protein kinase (MAPK)) also failed to reveal a specific pattern in these changes. Thus, diabetes reduced basal ERK1/2 and PKB/Akt phosphorylation in the heart and white gastrocnemius, respectively, whereas it augmented basal p38 MAPK activity in the red gastrocnemius. Insulin supplementation normalized the levels and activities of some but not all proteins. 4. In conclusion, the results of the present study demonstrate that adaptation to STZ-induced diabetes varies among skeletal muscle fibre types and the heart, emphasizing the complex tissue-specific responses to diabetes.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".