Effect of early diabetes on the expression of alpha‐1 adrenoceptors in aorta of Wistar Kyoto and Spontaneously Hypertensive rats
Bibliographic record
Abstract
Adrenergic receptors play an important role in the regulation of blood pressure. Diabetes and hypertension affect this mechanism producing changes in vascular responses and exacerbating cardiovascular diseases. Several studies have mentioned that vascular changes are different in the early versus advanced stages of diabetes. For instance, in a recent study by our work group, a decrease in the vasopressor response to noradrenaline was found at 4 weeks of the diabetes evolution in Wistar Kyoto (WKY) and Spontaneously Hypertensive rats (SHR). Among the changes that could take place in the early stages of diabetes to cause this decrease in vascular response is a decrease in the expression of alpha‐1 adrenergic receptors. Therefore, the aim of the present study was to assess the expression of the three subtypes of alpha‐1 adrenergic receptors (alpha‐1A, alpha‐1B, alpha‐1D) in the aorta of WKY and SHR with 4 weeks of the evolution of diabetes. The results showed that whereas the condition of diabetes in WKY rats did not modify significantly the expression of alpha‐1 adrenoceptors, in SHR led to a significative decrease in the expression of both alpha‐1A and alpha‐1B receptors, with no change observed in alpha‐1D expression. In conclusion, the early stages of diabetes produce modifications in the expression of alpha‐1 adrenergic receptors that could explain the decrease found in vascular responses. This work was supported by a CONACYT grant (#82599) and SIP grant (#20110176) COFAA‐ IPN.
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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".