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Defining a Role for MUC2 Mucin‐Associated Proteins in Colitis and Restitution

2019· article· en· W3173968259 on OpenAlexafffund
Hayley Gorman, France Moreau, Kris Chadee

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsMucinMucin 2MucusColitisGoblet cellBiologyCell biologyMolecular biologyEpitheliumBiochemistryImmunologyGene expressionGene

Abstract

fetched live from OpenAlex

Goblet cells produce MUC2 mucin that forms the mucus bilayers in the colon that protect the single layer of epithelial cells lining the gut. The mucus layer serves not only as a viscous physical barrier to protect the epithelial cell surface, but also provides a substrate and nutrient source for colonic microbiota. MUC2 mucin together with microbiota plays a major role in maintaining colonic health and is severely altered in infectious colitis and inflammatory bowel diseases. MUC2 mucin also contains numerous mucus‐associated proteins (MAPs) that are uncharacterized and there is much interest in what role they play in mucosal health and disease. These proteins include calcium‐activated chloride channel regulator 1 (CLCA1), F c fragment of IgG binding protein (FCGBP) and kallikrein 1 (KLK1). In this study we functionally characterized the expression of MAPs in colonic goblet cells and interrogated their role in colitis and restitution. To quantify MAPs expression we used human LS174T colonic goblet cells and generated CRISPR/Cas9 MUC2 KO cells to determine if MUC2 production regulated the expression of MAPs. Changes in mRNA and protein levels were determined by QPCR and Western blotting, respectively. To model epithelial injury in vitro , LS174T and CRISPR/Cas9 MUC2 KO cells were mechanically wounded. For in vivo studies we used Muc2 +/+ and Muc2 −/− littermates to basally characterize the expression of MAPs and to quantify what role they play in DSS‐induced colitis. In LS174T cells the temporal expression MUC2 , FCGBP , CLCA1 and KLK1 peaked at day 5 and remained high up to day 9, whereas CLCA1 was drastically increased in CRISPR/Cas9 MUC2 KO cells. In LS174T wounded cells, all MAPs increased as early as 2 days post wound that was more pronounced in CRISPR/Cas9 MUC2 KO cells as compared to the LS174T controls. In Muc2 +/+ and Muc2 −/− littermates and organoids derived from Muc2 +/+ and Muc2 −/− colons, MAPs were expressed at similar levels regardless of if Muc2 was present or not. In DSS colitis, MAPs mRNA transcripts and protein levels steadily decreased up to day 15 in Muc2 +/+ but not in Muc2 −/− littermates. Clca1 expression disappeared during peak of colitis (days 8–12) and Fcgbp, Clca1 and Klk1 were not restored by day 15 during restitution. In active ulcerative colitis (UC), colonic biopsies showed a marked increase in MUC2, FCGBP and KLK1 and a decrease in CLCA1 mRNA expression that returned to basal levels as healthy controls and UC in remission. This study demonstrates that MUC2 mucin and MAPs are not mucus‐associated and are expressed and developmentally regulated independently. In DSS colitis and active UC, MAPs are dysregulated and their reappearance coincides with restitution. Support or Funding Information Supported by CIHR This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.001
Threshold uncertainty score0.003

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.266
Teacher spread0.255 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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