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Record W2790121278 · doi:10.1093/jcag/gwy009.281

A281 DOES MUC2 MUCIN REGULATE MUCUS ASSOCIATED PROTEINS AND OTHER GOBLET CELL INNATE DEFENSE MOLECULES?

2018· article· en· W2790121278 on OpenAlexaff
Hayley Gorman, France Moreau, Kris Chadee

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGoblet cellMucusMucinMucin 2BiologyCell biologySecretionInnate immune systemBiochemistryEpitheliumGene expressionReceptor

Abstract

fetched live from OpenAlex

In the gastrointestinal (GI) tract, goblet cells secrete MUC2 that makes up the mucus layer critical in innate host defense in separating the microbiota from the single layer of intestinal epithelial cells. Associated with MUC2 mucin are other mucus-associated proteins (mucus APs) including calcium-activated chloride channel regulator 1 (CLCA1), Fc fragment of IgG binding protein (FCGBP) and kallikrein 1 (KLK1). These proteins are hypothesized to be important in stabilizing MUC2 and aiding in its protective functions but are not well characterized. Goblet cells also produce various innate host defense molecules including trefoil factor 3 (TFF3) and resistin-like molecule b (RELMb) and its unclear how these proteins interact with MUC2 to enhance innate host defences. 1. To determine if MUC2 and mucus associated proteins is differentially regulated. 2. To interrogate if a common intracellular signaling pathway can regulate MUC2, TFF3 and RELMb expression and secretion in vitro and in vivo. In this study, I quantified MUC2, APs, TFF3 and RELMb expression in LS174T goblet cells basally and in response to the colonic pathogen Entamoeba histolytica (Eh) and various mucus secretagogues by Q-PCR and Western Blots. Goblet cell proteins were developmentally regulated that coincided with maturation of the goblet cell phenotype at days 5 to 6. Cells stimulated with known mucus seretagogues that use unique signalling pathways such as PMA (PKC activator) and PGE2 (cAMP signalling), simultaneously increased MUC2, mucus APs, TFF3 and RELMb expression. However, in response to Eh, there was a time-dependent expression of MUC2 and enhanced expression of RELMb while mucus APs and TFF3 were unaffected. I next determined if deficiency in Muc2-/- affected the expression of goblet cell innate defense proteins as compared to Muc2+/+ littermates. Surprisingly, there were no significant changes in goblet cell proteins or mucus APs suggesting no negative feedback of these molecules in the absence of Muc2. This research demonstrates that MUC2, mucus APs and goblet cells peptides are developmentally regulated and use common signalling pathways in innate host defense. 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.218
Teacher spread0.211 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

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