Abstract 409: Is Accelerated Atherosclerosis a Microvascular Complication of Diabetes?
Bibliographic record
Abstract
Introduction: The complications of diabetes have traditionally been categorized as micro- or macrovasculature in nature. Individuals with diabetes are at an increased risk of macrovascular complications, including cardiovascular disease and stroke, and also suffer from microvascular disorders including retinopathy, nephropathy and neuropathy. There is increasing evidence these micro- and macrovascular conditions may be linked. Our objective is to determine if direct effects of hyperglycemia on a specific microvascular bed, the vasa vasorum, promotes diabetes-associated accelerated atherosclerosis. Methods and Results: The effects of hyperglycemia on retinal and vasa vasorum neovascularization and aortic atherogenesis were examined in streptozotocin-injected apolipoprotein-E deficient (ApoE-/-) mice and normoglycemic ApoE-/- controls. Microvessel densities of the retina and vasa vasorum were quantified at 5, 10, 15 and 20 weeks of age. Atherosclerotic lesion volume in the ascending aorta was determined at the same time points. The expression levels of pro-angiogenic factors, VEGF and VEFGR2, were also determined. Data from normoglycemic ApoE-deficient mice indicate that there is an expansion in vasa vasorum density as the atherosclerotic lesion area increases. In contrast, hyperglycemic ApoE-/- mice have significantly larger atherosclerotic lesions (2 fold, P<0..05) but have no detectible neovascularization of the vasa vasorum A deficiency in VEGF expression in the artery walls of the hyperglycemic mice may explain lack of neovascularization. Conclusions: These findings indicate that the microvessel structure of the vasa vasorum is altered by hyperglycaemia. The development and progression of atherosclerosis in hyperglycemic ApoE-deficient mice directly correlates with, and may be influenced by, microvascular changes.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".