Effect of the Ionic Concentration of Simulated Body Fluid on the Minerals Formed on Cross-Linked Elastin-Like Polypeptide Membranes
Bibliographic record
Abstract
Deposition of calcium phosphate minerals on the elastin-rich medial layers of arteries can cause severe cardiovascular complications. There are no available treatments for medial calcification, and the mechanism of mineral formation on elastin layers is still unknown. We recently developed an in vitro model of medial calcification using cross-linked elastin-like polypeptide (ELP) membranes immersed in simulated body fluid (SBF). While mineral phase evolution matched that observed in a mouse model of medial calcification, the long incubation required was a practical limitation of this model. Using higher SBF ion concentrations could be a solution to speed up mineral deposition, but its effect on the mineralization process is still not well understood. Here we analyze mineral formation and phase transformation on ELP membranes immersed in high concentration SBF. We show that while mineral deposition is significantly accelerated in these conditions, the chemistry and morphology of the minerals deposited on the ELP membranes and the overall mineralization process are strongly affected. Overall, this work suggests that while the use of low concentration SBF in this in vitro model is more appropriate to study medial calcification associated with the loss of calcification inhibitors, higher SBF ion concentration may be more relevant to study medial calcification in patients with life-threatening diseases such as chronic kidney disease.
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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".