Therapeutic Potential and Mechanisms of Action of Mesenchymal Stromal Cells for Acute Respiratory Distress Syndrome
Bibliographic record
Abstract
Mesenchymal stem/stromal cells (MSCs) have become the focus of intense research effort over the past 10 years, in an effort to harness their regenerative and immune-modulating capacity for a variety of clinical conditions. In Acute Respiratory Distress Syndrome (ARDS), pre-clinical studies point towards a therapy that modulates multiple aspects of a complex disease process. Almost universally, these cells have demonstrated an immune modulating phenotype, balancing protective host responses with a reduction in damaging inflammation, while enhancing bacterial killing. MSCs also lead to more efficient tissue repair, and MSC-mediated lung tissue repair and regeneration after ARDS are some of the exciting clinical prospects. Recent investigation into the role of endogenous MSCs has led to new insights into MSC physiology and its role in regulating the immune system. However, significant deficits remain in our knowledge regarding the mechanisms of action of MSCs, their efficacy in relevant pre-clinical models, and their safety in critically ill patients. These gaps need to be addressed before the enormous therapeutic potential of stem cells for ALI/ARDS can be realized.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".