FP418EXPRESSION OF OSTEOCYTES MARKERS IN VESSELS FROM CHRONIC KIDNEY DISEASE RATS WITH VASCULAR CALCIFICATION
Bibliographic record
Abstract
Introduction and Aims: Bone and mineral disorders affect every patients with chronic kidney disease (CKD) and contribute to the burden of fractures and cardiovascular disease. Bone disorders have been associated with vascular calcification in CKD but the mechanisms underlying this bone-vessels axis anomalies are poorly understood. Vascular calcification is a tightly regulated process involving the transdifferentiation of vascular smooth muscle cells (VSMC) into "osteoblasts-like" cells. We hypothesized that during this process of transdifferentiation, VSMC will acquire an "osteocyte-like" phenotype. The aim of this study is to determine if calcified vessels from CKD rats express osteocytic markers. Methods: CKD is induced by 5/6 nephrectomy in Wistar rats and vascular calcification is induced by high calcium, phosphate and vitamin D supplementation. These rats were compared to CKD rats fed with a normal diet and control rats fed with either a normal diet or high calcium, phosphate and vitamin D supplementation. Thoracic aortas were harvested at sacrifices 4 weeks after 5/6 nephrectomy. The markers of vascular remodeling and osteogenic differentiation were analyzed by qPCR (RunX2, BMP-2, α-SMA) and immunofluorescence (osteocalcin) on thoracic aortas. The expression of sclerostin, dentin matrix acidic phosphoprotein-1 (DMP-1) and FGF-23 (osteocytic markers) in addition to Dickkopf related protein 1 (DKK1) were performed on the thoracic aortas by immunofluorescence and western-blot. Serum levels of sclerostin were determined at sacrifices.
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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 | 0.000 | 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 | 0.000 |
| 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".