Cellular‐based therapies to prevent or reduce thrombocytopenia
Bibliographic record
Abstract
BACKGROUND: Thrombocytopenia is a serious side effect following high-dose chemotherapy or whole-body irradiation. For many patients, a hematopoietic stem cell (HSC) transplant is required as part of the treatment or to restore the integrity of the hematopoietic system. In this article, we first review the origin of thrombocytopenia in the context of umbilical cord blood (UCB) transplantation and current cellular therapies developed to overcome this condition. Results obtained in recent clinical trials and in the laboratory using a mouse-based xenograft model were also discussed. Second, we investigate the kinetic of human platelet production in two immunodeficient mouse strains transplanted with UCB cells to determine which of the two is better suited to measure the thrombopoietic potential of human hematopoietic cells. STUDY DESIGN AND METHODS: NOD/SCID/IL2Rγ(null) or NOD.CB17-Prkdcscid/NcrCrl (NOD/SCID) mice were transplanted with ex vivo expanded UCB cells. Human platelet levels and marrow engraftments were measured by cytometry analyses. RESULTS: Human platelets appeared earlier and at greater levels in the NOD/SCID/IL2Rγ(null) mouse strain. Consistent with these results and previous reports, human marrow engraftment was also greater in the IL2Rγ(null) -based NOD/SCID mice. CONCLUSION: The NOD/SCID/IL2Rγ(null) mouse strain is an ideal choice for preclinical studies aimed at measuring the in vivo thrombopoietic potential of human HPCs. Exploitation of such a model should facilitate the development of new cellular therapies aimed at improving hematological recoveries following HSC transplantation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.004 | 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 teacher head, 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".