Chronic inflammation can transform the fate of normal and mutant hematopoietic stem cells
Bibliographic record
Abstract
Chronic inflammation, although subtle, puts the body in a constant state of alertness and is associated with many diseases, including cancer and cardiovascular diseases. It leads hematopoietic cells to produce and release proinflammatory cytokines, which trigger specific signaling pathways in hematopoietic stem cells (HSCs) that cause changes in proliferation, differentiation, and migration. This response is essential when HSCs are needed to produce specific blood cells to eliminate an intruder, such as a pathogenic virus, but mutant HSCs can use these proinflammatory signals to their advantage and accelerate the development of hematologic disease or malignancy. Understanding this complex process is vital for monitoring and controlling disease progression in patients. In the 2023 International Society for Experimental Hematology winter webinar, Dr. Eric Pietras (University of Colorado Anschutz Medical Campus, United States) and Dr. Katherine Y. King (Baylor College of Medicine, United States) gave a presentation on this topic, which is summarized in this review article.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".