Inappropriately low reticulocytosis in severe malarial anemia correlates with suppression in the development of late erythroid precursors
Bibliographic record
Abstract
Inappropriately low reticulocytosis may exacerbate malarial anemia, but the under-lying mechanism is not clear. In this study, naive and infected mice were treated with recombinant murine erythropoietin (EPO), and the upstream events of erythropoiesis affected by blood-stage Plasmodium chabaudi AS were investigated. Malaria infection, with or without EPO treatment, led to a suboptimal increase in TER119(+) erythroblasts compared with EPO-treated naive mice. Furthermore, a lower percentage of TER119(+) erythroblasts in infected mice were undergoing terminal differentiation to become mature hemoglobin-producing erythroblasts. The impaired maturation of erythroblasts during infection was associated with a shift in the transferrin receptor (CD71) expression from the TER119(+) population to B220(+) population. Moreover, the suboptimal increase in TER119(+) erythroblasts during infection coincided with a blunted proliferative response by splenocytes to EPO stimulation in vitro, although a high frequency of these splenocytes expressed EPO receptor (EPOR). Taken together, these data suggest that during malaria, EPO-induced proliferation of early EPOR-positive erythroid progenitors is suppressed, which may lead to a suboptimal generation of TER119(+) erythroblasts. The shift in CD71 expression may result in impaired terminal maturation of these erythroblasts. Thus, inadequate reticulocytosis during malaria is associated with suppressed proliferation, differentiation, and maturation of erythroid precursors.
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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 | 0.000 |
| 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".