Mitochondrial proteome of the pressure‐overload hypertrophied rat heart
Bibliographic record
Abstract
Cardiac hypertrophy induced by prolonged hemodynamic overload, leads to changes in myocardial energy metabolism including an acceleration of glycolysis and limitation in oxidation of long‐chain fatty acids and pyruvate. The current study tested the hypothesis that alterations in expression of mitochondrial proteins account for defective oxidative metabolism in hypertrophied hearts. Compensated cardiac hypertrophy was produced in rats by aortic constriction and the mitochondrial proteome was quantitated using amine‐reactive, isobaric tagging (iTRAQ®) reagents and tandem mass spectrometry. 250–300 proteins were identified; the largest functional groups being those involved in electron transport (50%), fatty acid metabolism (21%), the TCA cycle (14%) and amino acid metabolism (13%). The expression of 15 mitochondrial proteins was significantly increased in hypertrophied hearts. Among the proteins up‐regulated in response to hypertrophy were several involved in mediating or responding to oxidative stress. It is concluded that changes in expression of metabolic proteins do not directly account for alterations in substrate utilization in non‐failing hypertrophied hearts. Oxidative stress, induced by pressure overload, may be an important mediator of metabolic adaptation to pressure‐overload hypertrophy. Studies were supported by grants from the Canadian Institutes for Health Research.
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) | 0.000 | 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 | 0.000 |
| 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".