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Record W3007282024 · doi:10.1093/jcag/gwz047.031

A32 THE REGULATION OF INTESTINAL SMOOTH MUSCLE CELL PROLIFERATION IN CROHN’S DISEASE – IS NR4A1 A NOVEL TARGET TO TREAT FIBROSTENOSIS?

2020· article· en· W3007282024 on OpenAlexaff
Holly Szczepanski, Yi-Cheng Tsai, Vivek Krishna Pulakazhi Venu, Laurie Alston, Simon A. Hirota

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNuclear Receptors and Signaling
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPlatelet-derived growth factor receptorWestern blotCell growthMuscle hypertrophyCancer researchCrohn's diseaseGrowth factorHyperplasiaPlatelet-derived growth factorBiologyFibrosisMedicineCell biologyEndocrinologyImmunologyPharmacologyInternal medicineReceptorDiseaseGeneBiochemistry

Abstract

fetched live from OpenAlex

Abstract Background Intestinal fibrosis and stricture formation are common complications of Crohn’s disease (CD). Recently, the stricturing phenotype has been recognized to be primarily attributable to hypertrophy/hyperplasia of smooth muscle, rather than an increase in fibrosis alone. Despite advances in treatment of CD, current therapies do little to prevent or reverse strictures. NR4A1 is an orphan nuclear receptor that has been reported as anti-fibrotic in non-intestinal systems and exhibits anti-proliferative effects in smooth muscle cells (SMCs). NR4A1 gene variants have been associated with increased risk of IBD, however, the mechanisms regulating NR4A1 expression and its role in intestinal SMC function has not been investigated. Aims To characterize and understand the role of NR4A1 activation in the regulation of mitogen-induced proliferation of intestinal SMCs. Methods Primary intestinal SMCs were isolated from Nr4a1+/+ and Nr4a1-/- mice. Furthermore, a commercially sourced human primary intestinal SMC line was used. To assess the response of SMCs to culture and identify growth differences, proliferation was measured via trypan blue exclusion and EdU incorporation. In mouse and human SMCs, proliferation was induced by platelet-derived growth factor-BB (PDGF-BB) and NR4A1 activation was assessed by pretreating with selective agonists, cytosporone B (Csn-B) and 6-mercaptopurine (6-MP), at various concentrations. Mass spectrometry was used to characterize proteomic differences between Nr4a1+/+ and Nr4a1-/- SMCs. Expression levels of NR4A1 were assessed by qPCR and western blot after mitogen exposure and Csn-B treatment. Results Nr4a1-/- cells exhibited a significantly higher rate of proliferation compared to Nr4a1+/+ cells, under both basal and mitogen-exposed conditions. Proteomic analysis showed that Nr4a1-/- SMCs exhibited increased expression of proteins related to the cell cycle and metabolism, compared to Nr4a1+/+ SMCs. Pretreating human intestinal SMCs with Csn-B and 6-MP significantly attenuated proliferation induced by PDGF-BB. Similar effects were observed in Nr4a1+/+ SMCs, however, the anti-proliferative effect of Csn-B was absent in Nr4a1-/- cells. Furthermore, NR4A1 expression was rapidly induced by Csn-B and PDGF-BB, the latter response suggesting the existence of a potential negative feedback mechanism to control mitogen-induced SMC proliferation. Conclusions Our results suggest that NR4A1 is a critical regulator of intestinal SMC proliferation and its induction by mitogens may contribute to a negative feedback loop to control smooth muscle growth. These data support targeting NR4A1 to treat excessive smooth muscle hypertrophy/hyperplasia that contributes to tissue remodelling observed in fibrostenotic CD. Funding Agencies CAG, CCC, CIHR

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.216
Teacher spread0.199 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueJournal of the Canadian Association of GastroenterologySame topicNuclear Receptors and SignalingFrench-language works237,207