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Record W2944247936 · doi:10.21693/1933-088x-11.1.33

Cell Therapy for Pulmonary Arterial Hypertension: Potential Efficacy of Endothelial Progenitor Cells and Mesenchymal Stem Cells

2012· article· en· W2944247936 on OpenAlexaff
Colin Suen, Shirley H. J. Mei, Duncan J. Stewart

Bibliographic record

VenueAdvances in Pulmonary Hypertension · 2012
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsProgenitor cellMesenchymal stem cellMedicineStem cellEndothelial stem cellEndothelial progenitor cellStem-cell therapyCancer researchCell therapyRegenerative medicinePathogenesisBioinformaticsImmunologyPathologyCell biologyBiology

Abstract

fetched live from OpenAlex

Pulmonary arterial hypertension (PAH) presents a challenging problem for health care providers, as effective long-term therapies have been elusive. An emerging paradigm for the pathogenesis of PAH is that endothelial cell injury and apoptosis at the level of the precapillary arteriole could be the initiating event in the pathogenesis of this disease. This hypothesis has spurred research on novel regenerative approaches using stem and progenitor cells. In this review, we compare findings from the latest preclinical and clinical studies using endothelial progenitor cell (EPC) and mesenchymal stem cell (MSC) therapy to treat PAH. Additionally, we highlight recent advances in gene-enhanced cell therapy, an approach that promises to augment the therapeutic potential of EPCs and MSCs especially for the reversal of established PAH. These new regenerative approaches have shown great promise in preclinical studies; however, large, rigorously designed clinical studies will be necessary to establish clinical efficacy.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations5
Published2012
Admission routes1
Has abstractyes

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