Cotransplantation of Ex Vivo Expanded Progenitors with Nonexpanded Cord Blood Cells Improves Platelet Recovery
Bibliographic record
Abstract
Umbilical cord blood (UCB) transplantation is associated with prolonged periods of cytopenia. Ex vivo expansion of hematopoietic stem and progenitor cells (HSPCs) is currently investigated as a mean to accelerate hematological recovery. Contrary to neutrophils, platelet recovery remains problematic. For this reason, we have developed a culture protocol promoting the expansion of megakaryocyte (Mk) progenitors. The objective of this work was to determine whether the expanded (E) UCB HSPCs could accelerate platelet recovery in vivo using a murine HSPC transplantation model. The thrombopoietic activity of UCB and mobilized peripheral blood CD34(+) cells expanded under mild hyperthermia (MH, ie, 39°C) with the optimized megakaryocyte progenitor cocktail (OMPC) diverged significantly from the nonexpanded (NE) cells of origin; E cells provided rapid platelet release, while NE cells strongly contributed to platelet production past 10 days of transplantation. Consequently, the complementary of both cell sources was investigated. Cotransplantation of NE with E UCB cells significantly improved the recovery of human platelets (hPLTs) in vivo due to their complementary and synergistic thrombopoietic activities. Moreover, short-term human bone marrow (BM) reconstitution was also improved. Finally, we show that early hPLT release is dependent on Mk-primed cells and that E cells do not act as accessory cells, but have a more active role. In conclusion, hPLT recovery and short-term BM engraftment can be efficiently improved by the cotransplantation of Mk-primed UCB cells with NE HSPCs in a murine transplantation model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".