Mesenchymal Stromal Cells Genetically Engineered To Overexpress Insulin-Like Growth Factor-1 Provide Paracrine Support for Cell-Based Erythropoietin Therapy of Chronic Renal Failure-Induced Anemia.
Bibliographic record
Abstract
Abstract Mesenchymal stromal cells (MSC) are a population of non-hematopoietic progenitors native to the bone marrow that are amenable to genetic engineering, making them attractive delivery vehicles for the in vivo production of therapeutic proteins, such as erythropoietin (Epo). We have previously demonstrated that MSC engineered to secrete Epo can be used for the long-term correction of renal failure-induced anemia [Eliopoulos et al., J Am Soc Nephrol. June 2006]. However, limited long-term transplanted cell survival compromises the efficacy of MSC-based gene therapy approaches. The current study provides evidence that co-implantation of MSC overexpressing Insulin-like growth factor-1 (IGF-I) improves MSC-based gene therapy of anemia by providing paracrine support to Epo-secreting MSC within a synthetic subcutaneous organoid. The IGF-I receptor was found to be expressed in murine MSC by RT-PCR, and protein expression was confirmed by immunoblot. We also demonstrated MSC MAPK pathway responsiveness to IGF-I stimulation in vitro and subsequent improvement of MSC survival following staurosporin-induced apoptosis. Murine MSC were transduced to overexpress either Epo or IGF-I (hereafter MSC-Epo and MSC-IGF) using retroviral vectors. MSC-Epo were subsequently admixed in a collagen matrix and implanted by subcutaneous injection in both naïve mice and a murine model of chronic renal failure, in combination with either MSC-IGF or null MSC. Mice receiving MSC-Epo in conjunction with MSC-IGF experienced a greater and significantly sustained elevation in hematocrit compared to control mice. In addition, mice co-implanted with MSC-IGF and MSC-Epo demonstrated a significant improvement in cardiac function compared to controls. In conclusion, cell-based gene therapy using co-implanted MSC-IGF represents a promising new strategy for the treatment of renal failure-induced anemia, as well as for the improvement of gene-enhanced MSC survival within implanted matrices.
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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".