Unveiling the paradoxical nature of myelodysplastic syndromes (MDS): Why hypercellular marrow strongly favors accelerated apoptosis
Bibliographic record
Abstract
The pathogenesis of bone marrow failure in myelodysplastic syndromes (MDS) is an unresolved mystery. MDS causes peripheral blood cytopenias and increased bone marrow cellularity. This apparent paradox has been interpreted as a sign of intramedullary destruction of a substantial portion of the developing hematopoietic cells by apoptosis. The present study aimed to delineate the exact mechanistic relationship between the bone marrow hypercellularity and the accelerated apoptosis in an N-ethyl-N-nitrosourea (ENU)-induced experimental MDS mouse model. The observations made so far clarify the quantitative and qualitative changes that occur in the bone marrow microenvironment through cell cycle analysis, especially involving the telomerase reverse transcriptase (TERT) and p53 expression patterns. The survival fate of the bone marrow cells were observed by measuring the expression level of some intracellular protein molecules like apoptosis signal-regulating kinase 1 (ASK-1), c-Jun N-terminal kinase (JNK), and cleaved caspase-3 of the extrinsic pathway toward apoptosis. We found myelodysplasia damage occurs within one or more multipotent progenitor populations resulting in uncontrolled cellular proliferation within the MDS bone marrow. Then, due to homeostatic balance, this high cellular burden is minimized by activating the apoptosis pathway. As a result, the peripheral blood suffers cellular deprivation. This study can throw some light on the mechanism of disease progression and also help to reveal the paradoxical nature of the disease.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".