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The Regulation of Intestinal Smooth Muscle Cell Proliferation in Crohn’s Disease – Is NR4A1 a Novel Target to Treat Fibrostenosis?

2020· article· en· W3017042746 on OpenAlexaffabout
Holly Szczepanski, Vivek Krishna Pulakazhi Venu, Yi-Cheng Tsai, Laurie Alston, Simon A. Hirota

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNuclear Receptors and Signaling
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPlatelet-derived growth factor receptorMuscle hypertrophyGrowth factorCancer researchWestern blotCell growthCrohn's diseaseHyperplasiaPlatelet-derived growth factorMedicineFibrosisBiologyCell biologyEndocrinologyImmunologyReceptorInternal medicineDiseaseGene

Abstract

fetched live from OpenAlex

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 inflammatory bowel disease, however, the mechanisms regulating NR4A1 expression and its role in intestinal SMC function have not been investigated. We sought to characterize and understand the role of NR4A1 activation in the regulation of mitogen‐induced proliferation of intestinal SMCs. We hypothesized that the activation of NR4A1 negatively regulates proliferative signaling and cell survival in intestinal SMCs. To test the hypothesis, 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. 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. 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. Support or Funding Information Canadian Institutes of Health Research

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.261

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 head0.032
GPT teacher head0.242
Teacher spread0.210 · 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
Published2020
Admission routes2
Has abstractyes

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