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Record W2890096293 · doi:10.1093/qjmed/hcw119.024

P020 <break /> Extracellular Matrix Driven Mesenchymal Cell Differentiation

2016· article· en· W2890096293 on OpenAlexaff
Chandak Upagupta, Pierre‐Simon Bellaye, Chiko Shimbori, Phoebe Zheng, Martin Kolb

Bibliographic record

VenueQJM · 2016
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMesenchymal stem cellExtracellular matrixCell biologyChemistryBiology

Abstract

fetched live from OpenAlex

Idiopathic pulmonary fibrosis (IPF) is a chronic disease, characterized by progressive scarring of lung tissue. IPF prognosis is poor, with most patients succumbing to the illness at a rate comparable to aggressive cancers. The causes of IPF remain elusive and there is no curative therapy. The key component contributing to the development and progression of IPF is the accumulation/recruitment of lung myofibroblasts leading to excess deposition of extracellular matrix (ECM) proteins. The effect of the ECM properties (composition and stiffness) on the phenotype and regulation of pulmonary cells is yet to be fully elucidated. However, there is evidence suggesting increased ECM deposition may promote differentiation of cells into myofibroblasts; therefore, progressing the disease in an exponential manner. Lungs were harvested from control Sprague-Dawley rats and decellularized. They were then reseeded with primary fibroblast from AdTGF-β treated rats (D7, D28, D49) to assess their reversibility. The degree and rate of reversibility were assessed using Western blots, rtPCR, and immunofluorescence for α-SMA, collagen, and TGF- β.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.120
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.006
GPT teacher head0.227
Teacher spread0.222 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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