Abstract 300: Pathophysiologically Regulated Gene Expression in Human Stem & Progenitor Cells for Cardiogenic Differentiation and Repair
Bibliographic record
Abstract
Human stem and progenitor cells have emerged as potentially useful substrates for cardiovascular repair through neovascularization and myocardial regeneration. However, efficacy is limited by impedance to stem cell retention, homing and differentiation in hostile microenvironments, as occur in infarcted myocardium. The objective of the current study was to regulate gene function for tailored therapy in post infarct myocardium. Here we show that hypoxic and inflammatory stimuli of the infarct microenvironment regulate a proportional response in gene expression in human endothelial progenitor (EPC) and mesenchymal stem cells (MSC). Highly efficient lentiviral vectors incorporating hypoxia (HRE) and nuclear factor kappa B (NFkB) responsive elements are used to drive transgenes for survival, autologous stem cell homing and cardiogenic differentiation. Utilizing an internal cytomegalovirus promoter deleted lentiviral transfer vector, an HRE-NFkB bicistronic promoter-reporter vector was constructed with a modified internal ribosome entry sequence between green fluorescent protein and luciferase or therapeutic genes. Either hypoxia or inflammation resulted in a seven to ten-fold response of transgene expression assessed by luciferase activity in EPC (hypoxia, 7608±954; inflammation 11492±1384, P<0.01 and P<0.001 vs control 1049±139 respectively, N=6), while combined hypoxic-inflammatory stimuli resulted in a sixty-fold increase of transgene expression (hypoxic-inflammation, 62364±6609, P<0.001 vs control 1049±139, N=6). These results were recapitulated in MSC and with a series of therapeutic genes as determined by transcript, protein expression and activity. Our results demonstrate that regulated vectors provide a proportional response to hostile post-infarct myocardium. Translating cardiovascular regenerative medicine using stem cells requires managing stem cell survival, function and differentiation. Utilizing site-specific pathophysiological cues to auto-regulate reparative and regenerative gene expression, this study is a starting point for sophisticated platforms for patient tailored cell-based cardiogenic therapy.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".