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Record W2913605336 · doi:10.1093/ecco-jcc/jjy222.127

P003 C86/CD16 macrophages may act as a source of WNT2b in intestinal tissue from B3 Crohn’s disease patients

2019· article· en· W2913605336 on OpenAlexaboutno aff
D Ortiz‐Masiá, Jesús Cosín‐Roger, M Rodriguez-Antequera, Dulce C. Macias-Ceja, S Coll, Pedro Salvador, Laura Gisbert-Ferrándiz, R Alós, J Manyé, F Navarro-Vicente, Sara Calatayud, M D Barrachina

Bibliographic record

VenueJournal of Crohn s and Colitis · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsWnt signaling pathwayMacrophageFlow cytometryPhenotypePathologyImmunofluorescenceMedicineBiologyInternal medicineAndrologyImmunologySignal transductionGeneIn vitroCell biologyAntibody

Abstract

fetched live from OpenAlex

Macrophages contribute to fibrosis through the release of different mediators and the pattern of secretion may vary according to their phenotype. The expression of WNT ligands has been related with the macrophage phenotype and strong evidence identifies the WNT signalling pathway as an emerging modulator of fibrosis. The aim of the present study was to analyse the pattern of expression of macrophages and the expression of WNT ligands in surgical resections from Crohn’s disease (CD, n = 43) patients which were categorised according to Montreal classification (B2 or B3; unaffected mucosa of patients with colorectal cancer was used as control). mRNA was isolated from intestinal samples and the expression of macrophage markers and WNT2b was analysed by RT-PCR. The number of macrophages positive for the different markers (CD206, CD86, CD16, and WNT2b) was determined by flow cytometry. PBMCS were isolated from healthy donors and treated during 5 days with secretomes, from control, B2 or B3 surgical resections; the mRNA expression of macrophage markers and WNT2b was determined by RT-PCR. Intestinal crypts were isolated from control samples and were incubated for 24 h with WNT2b and the expression of EMT genes was analysed by RT-PCR. HT29 were treated for 7 days with WNT2b or TGFβ1 and immunofluorescence was performed. Results are expressed as mean ± SEM (n ≥ 5). Statistical analysis was performed by ANOVA + Newman–Keuls test. *p < 0.05 significant differences vs. Non-IBD group or vehicle, #p < 0.05 vs. B2-CD group. The expression of WNT2b was significantly higher in intestinal samples from B3 CD patients (2.3 ± 0.4) than in controls (1.1 ± 0.1) or B2 patients (0.7 ± 0.1). The number of CD16 or CD86-positive macrophages was significantly higher in intestinal tissue from B3 CD patients (69.7 ± 24.4% and 88.8 ± 18.4%, respectively) than in that from B2 CD patients (36.12 ± 5.8% and 30.58 ± 10.9%, respectively). A high percentage of CD16 positive macrophages in intestinal tissue from B3 CD patients were also positive for WNT2b (24.7 ± 8.8%). The mRNA expression of CD16, CD86, and WNT2b was significantly higher in PBMCS treated with B3-secretomes than in those treated with B2- or control secretomes (A). Exogenous administration of WNT2b to intestinal crypts induced the mRNA expression of EMT genes (B). WNT2b and TGFβ1-induced VIMENTIN expression in HT29 cells (C). Abstract P002 – WNT2b induces EMT. (A and B) Relative mRNA expression vs. β-ACTIN and represented as fold induction vs. vehicle-treated. (C) Images showing VIMENTIN and nuclear staining in HT29 cells. A macrophage phenotype expressing CD86/CD16 may act as a source of WNT2b in intestinal tissue from CD patients with a penetrating (B3) behaviour. WNT2b induces EMT in intestinal crypts and HT29 cells.

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 score0.005
Threshold uncertainty score0.016

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.004
GPT teacher head0.232
Teacher spread0.228 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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