Vascular remodeling and media calcification increases arterial stiffness in chronic kidney disease
Bibliographic record
Abstract
BACKGROUND: Cardiovascular disease is the most common cause of death in patients with chronic kidney disease (CKD). Arterial stiffness and calcification are non-traditional risk factors of cardiovascular disease in CKD. In CKD rats, we investigated the involvement of smooth muscle cells differentiation to osteoblast-like cells and blood vessel wall remodeling, associated with media calcification, in arterial stiffness. METHOD: CKD with vascular calcification was induced by subtotal nephrectomy followed by treatment with a high calcium and phosphate diet, and vitamin D supplementation (Ca/P/VitD). At week 3-6, hemodynamic parameters and pulse wave velocity (PWV) were assessed. Vascular media calcification and remodeling were determined by histological von Kossa staining and confocal immunofluorescence analysis of osteocalcin, elastin, α-smooth muscle actin (α-SMA) and collagen-1. RESULTS: Treatment of CKD rats with Ca/P/VitD, but not normal animals, induced a significant increase in pulse pressure and PWV (p < 0.05) and marked calcification in the media. In calcification areas, de novo expression of osteocalcin was observed, whereas α-SMA immunofluorescence levels were reduced (p < 0.01). The immunofluorescence levels of elastin were also reduced, which was related to disruption of elastic lamella. In contrast, collagen-1 immunofluorescence levels in areas of calcification were increased (p < 0.01). Changes in both α-SMA and elastin inversely correlated with the PWV. CONCLUSION: This study indicate that smooth muscle cells differentiation to osteoblast-like cells and the associated media remodeling, which includes disruption of elastic lamellas and deposition of collagen are, at least in part, associated with the increased arterial stiffness observed in CKD rats with vascular calcification.
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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 | 0.000 |
| 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) | 0.001 | 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 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".