Bibliographic record
Abstract
Evaluation of: Krishnan J, Suter M, Windak R et al.: Activation of a HIF‑1a–PPAR‑a axis underlies the integration of glycolytic and lipid anabolic pathways in pathologic cardiac hypertrophy. Cell. Metab. 9, 512–524 (2009). During the development of cardiac hypertrophy and progression to heart failure, the myocardial energy source switches from fatty acid oxidation to glycolysis; a process that is a reversion to the fetal energy substrate preference pattern. Alterations in cardiac metabolism in response to substrate availability appears to involve changes in the transcriptional control of genes implicated in the transport and metabolism of fatty acids and glucose, which are mainly regulated by a class of transcription factors termed PPARs. The transcriptional activation of glucose transporters and glycolytic enzymes is also mediated by hypoxia‑inducible factor‑1 (HIF‑1). Chronic activation of the HIF‑1 pathway in the heart is considered to have an adverse outcome. Thus, it can be suggested that chronic activation of the HIF pathway in hypertrophied hearts is maladaptive and contributes to cardiac degeneration and progression to heart failure. In this paper, a model in which activation of the HIF‑1a–PPAR‑g axis by pathologic stress is proposed to underlie the key changes in cell metabolism that are characteristic of and contribute to the development of cardiac hypertrophy and its transition to heart failure.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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 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".