Development of a predictive model for negative microvascular outcomes in the metabolic syndrome
Bibliographic record
Abstract
Evolution of the metabolic syndrome is a multi‐factorial process with a constellation of pathologies developing over time. Consequently, poor vascular outcomes in the metabolic syndrome are also temporally distributed, and an integrated understanding of these outcomes requires information regarding their sequence of development. To address this, we examined development of the metabolic syndrome, systemic disease biomarkers, and negative vascular structural/functional outcomes in obese Zucker rats at 6‐7, 9‐10, 12‐13, 15‐16 and 19‐20 weeks. For these initial procedures and model development, no interventional strategy against either the metabolic syndrome or the poor outcomes was employed. Prior to development of vascular dysfunction, endothelial arachidonic acid metabolism was altered toward TxA 2 production; predicted by insulin resistance. This outcome was followed by an increase in markers of systemic inflammation, resulting in systemic oxidant stress and reduced vascular NO bioavailability. Immunohistochemistry suggested an increased venular adhesion marker expression (ICAM‐1, VCAM‐1) associated with the loss of NO bioavailability and this contributed significantly to a reduction in microvessel density. Taken together, these data begin to provide a temporally relevant, predictive model for poor microvascular outcomes in the metabolic syndrome. (NIH R01 DK64668, AHA EIA 0740129N)
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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 | 0.002 | 0.001 |
| 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) | 0.000 | 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".