Autologous cell therapy as a new approach to treatment of radiation-induced bone marrow aplasia: preliminary study in a baboon model
Bibliographic record
Abstract
The sparing of viable hematopoietic stem and progenitor cells located in underexposed bone marrow territories associated with the relative radioresistance of certain stem cell populations is the rationale for autologous cell therapy consisting of ex vivo expansion of residual cells after collection postirradiation. The feasibility of this treatment mainly depends on time constraints and hematopoietic cell threshold. We showed in this study that in the absence of early-acting mobilizing agent administration, subliminar amounts of CD34+ cells can be collected (1 x 10(6) CD34+ cells/100 mL bone marrow or for 1 L apheresis) from 6-Gy gamma globally irradiated baboons. Residual CD34+ cells were successfully expanded in serum-free medium in the presence of antiapoptotic cytokine combination (stem cell factor + FLT-3 ligand + thrombopoietin + interleukin 3, 50 ng/mL each, i.e., 4F): KCD34+ = x2.8 and x13.7 (n = 2). Moreover, we demonstrated the short-term neutrophil engraftment potential of a low-size mixed expanded graft (1.5 x 106 final CD34+cells/kg) issued from the coculture of unirradiated (20%) and 2.5-Gy in vitro irradiated (80%) CD34+ cells on an allogeneic stromal cell layer in the presence of 4F. Further preclinical research needs to be performed to clearly establish this therapeutic approach that could be optimized by the early administration of antiapoptotic cytokines.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".