Key Fatty Acid Combinations Define Vascular Smooth Muscle Cell Proliferation and Viability
Bibliographic record
Abstract
High plasma concentrations of free fatty acids (FFA) and insulin are common features in atherosclerotic patients with type 2 diabetes. FFA, according to their nature, can have various effects on vascular smooth muscle cells (VSMC). These cells play important roles throughout atherosclerosis pathogenesis, from plaque development to plaque instability. Thus, this study aims to assess the impact of two FFA combinations and insulin on murine VSMC viability. The two combinations contain the same FFA but at different ratios, one being richer in saturated fatty acids (SFA) and the other having a higher proportion of monounsaturated fatty acids (MUFA). Both combinations inhibited VSMC proliferation due to their pro-apoptotic potential, with SFA being the major inducers of apoptosis. However, the presence of oleic acid (OLA) attenuated this impact in a dose-dependent manner. OLA had also the capacity to reduce apoptosis rates more strongly when combined with a SFA than when used alone in VSMC treatments. This effect was significant only for specific proportions of these FFA and was even more effective in presence of insulin. These results highlight the presence of a competition between pro-apoptotic and anti-apoptotic mechanisms in VSMC that is dependent on FFA ratios (saturated vs. monounsaturated) and on insulinemia. They also underline the importance of the presence of MUFA such as OLA in diets containing high proportions of SFA.
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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 | 0.001 | 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) | 0.000 | 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".