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Record W4210419497 · doi:10.21203/rs.3.rs-1296940/v1

Inhibition of TGFβ-induced Fibroblast to Myofibroblast Transition by Conditioned Medium From Human Rhinovirus-infected Airway Epithelial Cells is Mediated by Prostaglandin E2

2022· preprint· en· W4210419497 on OpenAlexafffund
Diana Pham, Cora Kooi, David Proud, Richard Leigh

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchGlaxoSmithKline
KeywordsMyofibroblastFibroblastTransforming growth factorRhinovirusRespiratory epitheliumExtracellular matrixEpitheliumBiologyDownregulation and upregulationImmunologyCell biologyChemistryCell cultureMedicinePathologyFibrosis

Abstract

fetched live from OpenAlex

Abstract Background Airway remodeling, including increased deposition of extracellular matrix proteins, is a hallmark of asthma. Myofibroblasts, derived via fibroblast to myofibroblast transition (FMT), play an important role in this increased deposition of matrix proteins. Expression of transforming growth factor β1 (TGFβ1) is increased in asthmatic airways and is known to induce FMT, as assessed by increased expression of α-smooth muscle actin (α-SMA). Because human rhinovirus (HRV) infections of airway epithelial cells have been linked to the generation of mediators involved in airway remodeling, we tested the hypothesis that conditioned medium from HRV-infected human airway epithelial cells from healthy normal subjects would enhance FMT, either alone or in combination with TGFβ1. Methods FMT was assessed by measuring α-SMA expression in human airway fibroblasts, both by western blotting and by immunohistochemistry. Statistical analysis was performed using ANOVA and Holm-Sidak or Bonferonni post hoc tests. Results Our data showed that conditioned medium from HRV infected epithelial cells significantly inhibited TGFβ1-induced expression of α-SMA in fibroblasts when compared to conditioned medium from uninfected epithelial cells. Treatment of epithelial cells with the nonselective cyclooxygenase inhibitor, diclofenac, during HRV infection significantly reversed the inhibitory effects of conditioned medium on TGFβ1-induced expression of α-SMA. This led us to hypothesize that HRV-infected epithelial cells release PGE2 that acts on EP receptors to suppress TGFβ1-induced expression of α-SMA in fibroblasts. We confirmed that HRV-infection of airway epithelial cells upregulated PGE2 release, and that exposure of fibroblasts to PGE2 significantly inhibited TGFβ1-induced expression of α-SMA in fibroblasts. Finally, studies using selective agonists and antagonists demonstrated that PGE2 inhibited TGFβ1-induced expression of α-SMA in fibroblasts via effects at the EP2 receptor. Conclusions Thus, using cells derived from healthy normal subjects we demonstrate that HRV infection of airway epithelial cells induces release of PGE2 that acts on EP2 receptors on fibroblasts to suppress TGFβ1-induced FMT. Additional studies are needed to determine if a different pattern of response is seen using cells from asthmatic subjects to determine if the inhibitory role of PGE2 on FMT in normal cells helps prevent airway remodeling in normal subjects.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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)0.0020.000

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 head0.027
GPT teacher head0.335
Teacher spread0.309 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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