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Characterization of myofibroblasts isolated from the intestine of patients with inflammatory bowel disease

2019· preprint· en· W2921532186 on OpenAlexafffund
Serge Dionne, Sophie Restellini, Jamie Koenekoop, Pedro Salvador Escribano, Ciriaco A. Piccirillo, Patrick Charlebois, A. Sender Liberman, Barry Stein, Carl Frédéric Duchatellier, Ernest G. Seidman

Bibliographic record

VenueF1000Research · 2019
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcGill University Health CentreMcGill University
FundersCanada Research Chairs
KeywordsFibrosisInflammatory bowel diseasePathologyMedicineBiologyDisease

Abstract

fetched live from OpenAlex

Background : Intestinal fibrosis represents a serious complication of inflammatory bowel diseases (IBD), often necessitating surgical resections. Myofibroblasts are primarily responsible for interstitial matrix accumulation in fibrotic diseases. However intestinal myofibroblasts (IMF) remain inadequately characterized. The aim was to examine fibroblast markers and fibrosis-associated gene expression in IMF isolated from resected intestine from IBD and control patients. As well as determining the effect of the fibrogenic cytokine TGFβ. Methods: Intestinal resections were obtained (n =35) from consenting patients undergoing elective surgery (2014-16). Primary cultures of IMF were isolated using DTT and EDTA and cultured. Viability and phenotypic characterization of IMF was carried out by flow cytometry and fluorescence microscopy. IMF (passages 3-8) were treated for 24 hours. Cytokines were quantified in IMF by real time PCR and in supernatants using the human pro-inflammatory cytokine panel Results : All markers and most fibrosis mediators studied were preferentially expressed by IMF compared to mucosal tissue. Metalloproteinases (MMP) 2 and 3, as well as their inhibitor TIMP1, are highly expressed by IMF. They also highly expressed inflammatory mediators, including IL-6, IL-8, CCL2 and PTGS2. Whereas mucosal expression of pro-inflammatory cytokines such as TNFα and IL-17 is increased in IBD, that of fibrosis mediators was not different. Fibrosis-related gene expression in IMF from IBD patients and controls was similar, but IMF from IBD expressed higher levels of several inflammatory genes. IMF from CD and UC had mostly similar expression profiles. TGFβ induced expression of fibrogenic genes αSMA, COL1A1, CTGF, FN1 and LOX. TGFβ-stimulated IMF released increased levels of IL-6, whereas IL-6, IL-8, as well as small amounts of IFN-γ and IL12p70 were produced following stimulation with IL-1β+IL-23. Conclusions : This study extends knowledge about the pathogenesis of fibrosis in IBD. Further research in the identification of mechanisms involved in IMF activation and fibrogenesis are required.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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 designObservational
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".

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Citations0
Published2019
Admission routes2
Has abstractyes

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