Bone marrow progenitors in inflammation and repair: new vistas in respiratory biology and pathophysiology: Fig. 1—
Bibliographic record
Abstract
### Bone marrow-derived stem cells Respiratory and allergic/immune diseases such as asthma, chronic obstructive pulmonary disease (COPD), pulmonary fibrosis, cystic fibrosis, and acute and chronic lung infections are leading causes of morbidity and mortality in Canada as well as globally. Inflammatory pathology is central to all of these diseases, recently recognised to include systemic processes involving the active recruitment and differentiation of bone marrow-derived haemopoietic and nonhaemopoietic “progenitors” (termed BMSC). These cells have the potential to differentiate into a diversity of cell types found in normal tissue 1–4, as well as to contribute to repair and remodelling following lung injury. Recently, it has been proposed that circulating BMSC can “sense” injured tissue, and undergo migration and recruitment to sites of tissue damage. Here they can differentiate into inflammatory effector cells (such as neutrophils, eosinophils, basophils, mast cells and monocytes), or nonhaemopoietic cells that can promote structural and functional tissue repair, revealing the plasticity of these pluripotent cell populations 5 and their participation in regenerative and/or inflammatory processes. Within tissues, the fate of haemopoietic progenitors is determined by locally elaborated growth factors that permit a process termed “ in situ haemopoiesis” 6–9. This leads to the accumulation of inflammatory effector cells, immunocompetent cells and tissue structural cells ( e.g. dendritic and endothelial cells). ### Markers of BMSC A critically important marker of haemopoietic progenitors in the marrow, circulatory and tissue compartments 10–13 is the CD34 antigen. This is an integral membrane differentiation stage-specific glycoprotein that is expressed on the majority of immature haemopoietic cells 14, 15. It is also expressed on tissue structural cells, including fibroblasts and vascular endothelial cells 15, 16, functioning to regulate adhesion of these cells to haemopoietic inductive microenvironmental stroma and, presumably, to other elements in blood vessels and peripheral tissues 17. The CD34-knock …
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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 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".