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Record W2503069845 · doi:10.1002/path.4768

Fibroblast growth factor‐1 attenuates <scp>TGF</scp>‐β1‐induced lung fibrosis

2016· article· en· W2503069845 on OpenAlexafffund
Chiko Shimbori, Pierre‐Simon Bellaye, Xia Jiaji, Jack Gauldie, Kjetil Ask, Carlos Ramos, Carina Becerril, Annie Pardo, Moisés Selman, Martin Kolb

Bibliographic record

VenueThe Journal of Pathology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health ResearchCanadian Pulmonary Fibrosis FoundationFondation du SoufflePulmonary Fibrosis Foundation
KeywordsPulmonary fibrosisMyofibroblastFibroblastIdiopathic pulmonary fibrosisCancer researchTransforming growth factorFibrosisExtracellular matrixFibroblast growth factorBiologyChemistryCell biologyPathologyMedicineLungIn vitroInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Idiopathic pulmonary fibrosis (IPF) is characterized by progressive fibroblast and myofibroblast proliferation, and extensive deposition of extracellular matrix (ECM). Fibroblast growth factor-1 (FGF-1) belongs to the FGF family and has been shown to inhibit fibroblast collagen production and differentiation into myofibroblasts, and revert epithelial-mesenchymal transition by inhibiting TGF-β1 signalling pathways. However, the precise role of FGF-1 in pulmonary fibrosis has not yet been elucidated. In this study, we explore the mechanisms underlying the anti-fibrogenic effect of FGF-1 in pulmonary fibrosis in vitro and in vivo by prolonged transient overexpression of FGF-1 (AdFGF-1) and TGF-β1 (AdTGF-β1) using adenoviral vectors. In vivo, FGF-1 overexpression markedly attenuated TGF-β1-induced pulmonary fibrosis in rat lungs when given both concomitantly, or delayed, by enhancing proliferation and hyperplasia of alveolar epithelial cells (AECs). AdFGF-1 also attenuated the TGF-β1 signalling pathway and induced FGFR1 expression in AECs. In vitro, AdFGF-1 prevented the increase in α-SMA and the decrease in E-cadherin induced by AdTGF-β1 in normal human lung fibroblasts, primary human pulmonary AECs, and A549 cells. Concomitantly, AdTGF-β1-induced Smad2 phosphorylation was significantly reduced by AdFGF-1 in both cell types. AdFGF-1 also attenuated the increase in TGFβR1 protein and mRNA levels in fibroblasts. In AECs, AdFGF-1 decreased TGFβR1 protein by favouring TGFβR1 degradation through the caveolin-1/proteasome pathway. Furthermore, FGFR1 expression was increased in AECs, whereas it was decreased in fibroblasts. In serum of IPF patients, FGF-1 levels were increased compared to controls. Interestingly, FGF-1 expression was restricted to areas of AEC hyperplasia, but not α-SMA-positive areas in IPF lung tissue. Our results demonstrate that FGF-1 may have preventative and therapeutic effects on TGF-β1-driven pulmonary fibrosis via inhibiting myofibroblast differentiation, inducing AEC proliferation, regulating TGF-β1 signalling by controlling TGFβR1 expression and degradation, and regulating FGFR1 expression. Thus, modulating FGF-1 signalling represents a potential therapy for the treatment of pulmonary fibrosis. Copyright © 2016 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.268
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations97
Published2016
Admission routes2
Has abstractyes

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