Primitive haematopoietic progenitors in the blood of patients with sickle cell disease appear to be endogenously mobilized
Bibliographic record
Abstract
To investigate whether haematopoietic stem cells in patients with sickle cell (SS) disease might be altered, we examined the number and cycling status of 5-week long-term culture-initiating cells (LTC-ICs) and in vitro multilineage colony-forming cells (CFCs) present in the blood of a large and clinically diverse group of SS patients. The concentrations of both of these cell types per ml of blood varied over a wide range in individual patients, but, on average, were significantly elevated above normal values ( approximately sevenfold and 15-fold respectively) and to an even greater extent than the lineage-restricted CFCs in the same samples. Wide variations in the concentration of circulating progenitors, particularly the LTC-ICs, were also seen over time (in concert with changes in the white blood cell count) in SS patients. [3H]-Thymidine suicide assays showed most of the CFCs and LTC-ICs in SS blood to be quiescent like their counterparts in normal blood. However, by comparison with historical data, the SS progenitors could be recruited into the cycle more quickly (i.e. within 2 vs. 3 d), thus showing the same kinetics of activation exhibited by 'mobilized' progenitors from patients given chemotherapy and exogenous growth factors. Taken together, these findings implicate previously documented increases in endogenous Steel factor, interleukin 3 and granulocyte-macrophage colony-stimulating factor levels in SS patients in the establishment of a chronically mobilized progenitor phenotype.
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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 | 0.001 |
| 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) | 0.001 | 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".