The Effects of Calcium Channel Blockade and Atrial Natriuretic Peptide Signalling on Proliferation and Differentiation of Cardiac Progenitor Cells
Bibliographic record
Abstract
Cardiac progenitor cells (CPCs) are abundant in the embryonic heart and have hallmark features which include a rapid rate of cell division and the ability to differentiate into mature heart muscle cells (cardiomyocytes). Based on these features, CPCs are considered an attractive candidate cell type for transplantation therapies which aim to replenish the diseased heart muscle tissue (myocardium) with new muscle forming cells. A better understanding of how pharmacological drugs and endogenous hormones/signalling molecules modulate the balance between proliferation and differentiation of CPCs could be used to develop more effective cell based therapies for myocardial repair. Furthermore, this information could provide valuable new insight into molecular mechanisms regulating normal cardiogenesis during the embryonic period. The specific aims of the present study were to characterize the effects of the Ca2+ channel blocking drug nifedipine and the endogenous hormone/paracrine factor atrial natriuretic peptide (ANP) on CPC proliferation and differentiation. Results showed that primary cultured CPCs, isolated from the ventricles of embryonic day (E) 11.5 mouse embryos, underwent a reduction in cell cycle activity following exposure to nifedipine. Furthermore, systemic administration of nifedipine to adult mice receiving transplanted E11.5 ventricular cells (containing CPCs) was associated with smaller graft sizes compared to control animals that did not receive the drug. Results from the present study also demonstrated that ANP receptor mediated signalling systems are biologically active in E11.5 ventricular cells and have an antiproliferative effect on cultured E11.5 CPCs. Moreover, preliminary data provided evidence that genetic ablation of the ANP high affinity receptor (NPRA) may be associated with impaired development of the ventricular cardiac conduction system. Collectively, work from this thesis provides evidence that interactions between transplanted cells and pharmacological drugs could have a significant impact on the effectiveness of cell based therapies and that ANP signalling systems may play a critical role in cardiac ontogeny by regulating the balance between CPC proliferation and differentiation.
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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".