In Vitro Chronic Hyperinsulinemia Induces Remodelling of Vascular Smooth Muscle Cells from Young Men and Women in a Sex Hormone Independent Manner
Bibliographic record
Abstract
Elevated circulating insulin levels between 80 and 100 µU/mL characterize hyperinsulinemia, which often leads to metabolic disorders such as obesity, insulin resistance, and type 2 diabetes (T2D). Elevated circulating insulin levels can directly affect vascular function and contribute to the pathophysiology of the cardiovascular system, including secondary arterial hypertension (SAH) and atherosclerosis. It is well known that hyperinsulinemia induced remodeling of the heart. However, there is no information on whether intrinsic differences exist between human vascular smooth muscle cells (VSMCs) and if in vitro mimicking hyperinsulinemia induces human VSMCs morphological and intracellular homeostasis remodeling in a sex- and sex hormones-dependent manner. Our in vitro cultured human VSMCs, coupled with quantitative 3D confocal imaging results, show that intrinsic differences exist between VSMCs from young men and women. Chronic hyperinsulinemia (80 µU/mL, 48 h treatment) increases cell and nuclear volumes associated with increased intracellular calcium (Ca2+) and ROS and decreased glutathione. In the absence of hyperinsulinemia, pretreatment with testosterone in VSMCs from men and oestradiol in VSMCs from women had no effect. Both sex hormones partially but not completely prevented hyperinsulinemia-induced remodeling of VSMCs from young men and women. The increase in VSMC volume may increase the thickness of the tunica media, leading to a decrease in the lumen of the blood vessel, which promotes the development of SAH and atherosclerosis in a sex-dependent manner.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".