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Record W3007545260 · doi:10.1093/jcag/gwz047.017

A18 BUILDING BETTER ENTEROIDS: A NOVEL STRATEGY FOR ENRICHING SECRETORY EPITHELIAL CELL SUBTYPES

2020· article· en· W3007545260 on OpenAlexaff
Emily Davies, Shauna M. Crowley, Kan-Jen Tsai, Mariel Gómez, Xinyun Han, Bruce A. Vallance

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsUniversity of British ColumbiaBurnaby HospitalBC Children's Hospital
Fundersnot available
KeywordsWnt signaling pathwayEnteroendocrine cellBiologyCell biologyGoblet cellIntestinal epitheliumFlow cytometrySecretionMucusEnterocyteImmunologyEpitheliumSignal transductionEndocrinologyHormoneEndocrine systemSmall intestine

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel diseases (IBD) are chronic gastrointestinal disorders that affect more than 270,000 Canadians, including over 7,000 children. Inflammation arising from IBD severely damages intestinal epithelial cells (IECs), however their role in disease pathogenesis is not fully understood, in part due to a lack of in vitro systems that recapitulate the epithelium’s complex cellular composition. Enteroids are an in vitro model where primary IECs are isolated and cultured as 3D ‘mini guts.’ They offer distinct advantages over cell lines, however current protocols generate enteroids primarily composed of enterocytes that seldom contain rarer IEC subtypes (goblet, enteroendocrine, tuft and Paneth cells). These cells are responsible for the gut’s mucus, antimicrobial and hormone secretory functions, yet their role in the pathophysiology of IBD is unclear. Aims Manipulate cell differentiation pathways in mouse and human enteroids to increase the prevalence of secretory IECs, as well as determine if enteroids derived from pediatric IBD patients exhibit impaired responses to differentiation treatments. Methods Mouse enteroids were derived from ileal, cecal and colonic crypts of C57BL/6 mice while human enteroids were isolated from healthy or pediatric IBD patient intestinal biopsies. Enteroids were initially supplemented with Wnt signaling activators and the extracellular matrix modified to enhance enteroid culture “stemness”. Differentiation was induced by growth media modulation of the Notch and Wnt signaling pathways. Enteroids were analyzed via flow cytometry to quantify expression of secretory cell markers, while immunofluorescent and Peroidic acid Schiff/Alcian Blue staining was used to visualize goblet cells. Results “Stem” treatment potentiated Wnt signaling and enhanced enteroid “stemness” as measured by Lgr5 and CD44 expression. Comparatively, differentiation of these “stem” enteroids led to a larger relative increase in secretory markers. Differentiation treatment increased expression of goblet cell markers (Muc2 and lectin) in the “stem” treated mouse cecal and colonic enteroids, but not in ileal enteroids. Notch inhibition produced increased expression of lysozyme, a Paneth cell marker, in all enteroids. A similar increase in secretory cell numbers was observed in control human enteroids following differentiation treatment. In contrast, enteroids derived from pediatric IBD patients displayed irregular differentation responses to treatment. Conclusions We demonstrate that manipulation of cell differentiation pathways increases the number of secretory IEC subtypes within enteroids. Furthermore, these pro-secretory cell responses differ in IBD patient enteroids, indicating that an alteration of the targeted cell signaling pathways may be linked to IBD pathogenesis. Funding Agencies CCC, CIHRBCCHRI Summer Studentship

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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 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
Published2020
Admission routes1
Has abstractyes

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