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Record W2050189717 · doi:10.1097/mcp.0b013e328363f4de

Extracellular matrix microenvironment contributes actively to pulmonary fibrosis

2013· review· en· W2050189717 on OpenAlexafffund
Chiko Shimbori, Jack Gauldie, Martin Kolb

Bibliographic record

VenueCurrent Opinion in Pulmonary Medicine · 2013
Typereview
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsPopulation Health Research InstituteMcMaster University
FundersCanadian Institutes of Health Research
KeywordsExtracellular matrixFibrosisMyofibroblastPulmonary fibrosisMedicineIdiopathic pulmonary fibrosisCancer researchPathologyIn vivoMesenchymal stem cellCell biologyLungBiologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The purpose of this review is to describe the contribution of an altered, profibrotic extracellular matrix (ECM) microenvironment to pulmonary fibrosis and how it changes cell behaviour and actively drives disease progression. RECENT FINDINGS: Idiopathic pulmonary fibrosis is a chronic and fatal disease of unknown cause. It is characterized by proliferation and accumulation of fibroblasts and myofibroblasts in clusters, termed fibroblastic foci, and extensive ECM deposition. Recent evidence from in-vivo and ex-vivo experimental studies has highlighted that the abnormal ECM in fibrotic lungs alters the behaviour of epithelial and mesenchymal cells. This profibrotic ECM microenvironment is characterized by altered biochemical and biomechanical properties and stores abundant amount of growth factors. By this, the 'fibrotic ECM' can drive progressive fibrogenesis in the lungs without any further initiating trigger. These concepts indicate a more complicated dynamic and active role of the fibrotic ECM than previously thought and offer many novel therapeutic targets. SUMMARY: The fibrotic ECM microenvironment is an active contributor to the development and progression of pulmonary fibrosis and a promising therapeutic target.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.893
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.068
GPT teacher head0.381
Teacher spread0.312 · 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 designOther design
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

Citations53
Published2013
Admission routes2
Has abstractyes

Explore more

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