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Therapeutic Potential and Mechanisms of Action of Mesenchymal Stromal Cells for Acute Respiratory Distress Syndrome

2014· review· en· W2118034628 on OpenAlexaff
Gerard F. Curley, Jeremy A. Scott, John G. Laffey

Bibliographic record

VenueCurrent Stem Cell Research & Therapy · 2014
Typereview
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsARDSMesenchymal stem cellMicrovesiclesMedicineImmune systemParacrine signallingStromal cellRegeneration (biology)Stem cellImmunologyStem-cell therapyCell therapyLungCancer researchBiologyPathologyCell biologymicroRNAInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.925
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.249
GPT teacher head0.479
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations28
Published2014
Admission routes1
Has abstractyes

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