Spontaneously Hypertensive Rat (SHR) Display Alterations in Carbohydrate Metabolism And Function At An Early Age
Bibliographic record
Abstract
The SHR, a genetic model of hypertension with a CD36 gene defect, develops left ventricular hypertrophy (LVH) between 9 and 12 weeks of age. We reported that 15‐wk‐old SHR display a reduced exogenous fatty acid (FA) oxidation, while that of carbohydrate (CHO) was unchanged despite an enhanced glycolysis. This study aimed at clarifying whether these alterations are characteristic of this rat strain or result from metabolic gene remodeling linked to LVH. We assessed the metabolic and functional profile of working hearts perfused with 13 C‐labeled substrates at 7 weeks (SHR vs Wistar), and cardiac metabolic gene expression by qPCR at 7 and 15 weeks. As young Wistar hearts were not able to maintain stable cardiac output at 80 mmHg, they were perfused at 70 mmHg afterload to match functions with SHR. At the metabolic level, SHR hearts displayed a 40% lower FA β‐oxidation, while CHO oxidation was increased by 50% (p<0.05). qPCR data revealed that SHR hearts showed marginal differences in mRNA levels for genes involved in FA and CHO metabolism at 7 weeks, but a significant increase in all these gene transcripts at 15 weeks. Compared to their 15‐week‐old counterpart, young SHR hearts displayed a similar lower FA oxidation, but an increase in CHO oxidation. The latter difference appears to be explained by transcriptional changes in PDK4 linked to LVH, and may confer to young SHR hearts the capacity to withstand a higher workload. (Supported by the Fondation Bettencourt Schueller and CIHR).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.003 | 0.001 |
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".