Interstitial cells from left-sided heart valves display more calcification potential than from right-sided valves: an in-vitro study of porcine valves.
Bibliographic record
Abstract
BACKGROUND AND AIM OF THE STUDY: The calcification of cardiac valves is more frequently observed on left-sided (aortic or mitral) than right-sided (pulmonic or tricuspid) valves. The cause of this preferential left-sided calcification remains relatively unknown. The study aim was to evaluate the capacity of interstitial cells isolated from the four cardiac valves of healthy adult pigs to calcify in culture. METHODS: Interstitial cells were isolated from the valve leaflets of three healthy young pigs and cultured in DMEM/fetal bovine serum (10%) in the presence or absence of osteogenic additives (ascorbic acid, dexamethasone, beta-glycerophosphate). RESULTS: The proliferation rate was similar for cells from each of the four valves. After longer periods of culture (> 10 days), cells from each valve spontaneously formed several calcification nodules, the process being accelerated in the presence of osteogenic additives (to 4-7 days). Alkaline phosphatase (AP) activity was highest in cells originating from the aortic and mitral valves, respectively, and least in those from the pulmonic and tricuspid valves. Culture with the osteogenic additives increased the AP activity by at least 50% for each valve, but the relative AP activity between cells from each valve origin tended to remain similar (aortic > mitral > pulmonic > tricuspid). Interestingly, the levels of matrix Gla-protein mRNA (an endogenous calcification inhibitor) followed an opposite trend of expression for each valve. CONCLUSION: Interstitial cells from porcine cardiac valves share similarities, although the capacity to calcify is more evident in cells from valves of the left side of the heart. Interstitial cells from the aortic valve displayed the greatest potential for 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 | 0.001 | 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) | 0.001 | 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".