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Record W2522992291 · doi:10.1093/qjmed/hcw120.007

P106 <break /> Role of Adenylate Cyclase Pathway in Prevention of Pulmonary Fibrosis

2016· article· en· W2522992291 on OpenAlexaff
Subhendu Mukherjee, Wei Sheng, Luke J. Janssen

Bibliographic record

VenueQJM · 2016
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAdenylate kinaseCyclasePulmonary fibrosisMedicineInternal medicineFibrosisStimulation

Abstract

fetched live from OpenAlex

Our previous studies have shown that blocking Ca2+-signaling reduces TGFβ-mediated extracellular matrix (ECM) deposition and progression of bleomycin-mediated fibrosis. As such, disruption of Ca2+-wave activity may prove useful in the treatment of pulmonary fibrosis. Prostaglandin E2 (PGE2) is known to exhibit certain anti-fibrotic effects. However, its effect on Ca2+-wave activity is unknown. In this study, we examined the role of PGE2 in regulating Ca2+ signaling in normal and diseased (IPF) fibroblasts. Human pulmonary fibroblasts (normal and IPF) were cultured and stimulated with either TGFβ or vehicle in the presence of various blockers. Ca2+ waves were monitored by confocal [Ca2+]i fluorimetry. RT-PCR and western blot were used to measure gene expression and different protein levels. We found that 500 nM PGE2 eliminated TGFβ-induced Ca2+ wave activity in normal fibroblasts and spontaneous Ca2+ wave activity in IPF fibroblasts. This inhibitory effect was mimicked by forskolin. We also found that PGE2 dramatically reduced the expression of ECM genes both in TGFβ-treated normal fibroblasts and in IPF fibroblasts. Immunofluorescence study showed that PGE2 inhibited the progression of fibroblast to myofibroblast transformation. We also examined the role of PGE2 in TGFβ-mediated other pathways.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.306

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)0.0000.000

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 head0.015
GPT teacher head0.267
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.

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
Published2016
Admission routes1
Has abstractyes

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