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Record W4213366566 · doi:10.1093/jcag/gwab049.014

A15 <i>GIARDIA DUODENALIS</i> INDUCES REGIOSPECIFIC ALTERATIONS TO INTESTINAL MUCOSAL GLYCOSYLATION PATTERNS

2022· article· en· W4213366566 on OpenAlexaff
Elena Fekete, Thibault Allain, André G. Buret

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMucinMucusBiologyMicrobiologyGlycosylationGiardiaJejunumIntestinal mucosaSialic acidFucoseEnterocyteIntestinal permeabilityMucin 2FucosylationGlycoproteinSmall intestineImmunologyMolecular biologyBiochemistryMedicineInternal medicineGene expression

Abstract

fetched live from OpenAlex

Abstract Background Disruption of intestinal barrier function is important in the pathogenesis of numerous intestinal diseases and can lead to increased intestinal permeability. During infection with the protozoan parasite Giardia duodenalis, intestinal permeability is increased in part due to disruption of the intestinal mucus barrier. Intestinal mucus is composed primarily of the heavily glycosylated MUC2 mucin. Glycosylation of mucins is important for maintaining the structure of the mucus gel, and glycans are key mediators of host-microbe interactions, as they provide binding sites to microbes and can be degraded as a nutrient source. Changes to mucin glycosylation patterns have been noted during intestinal inflammation and bacterial infection, and may contribute to altered intestinal permeability and dysbiosis. We hypothesized that intestinal mucosal glycosylation patterns may be disrupted during Giardia infection, and that this may contribute to Giardia-induced barrier dysfunction. Aims Characterize changes to mucosal glycosylation patterns in the small and large intestines during in vivo Giardia infection. Methods 3–4 week old C57BL/6 mice were infected with Giardia duodenalis strain GS/M for 7 days. Tissue sections from the jejunum and colon were collected and stained with various fluorescein-coupled lectins (CONA, DBA, PNA, WGA, SNA, UEA-1) and fluorescence was quantified and normalized to tissue area. Quantitative PCR (qPCR) was performed for glycosyltransferase genes in the jejunum and colon. Results In the jejunum, abundance of N-acetylglucosamine increased upon infection, while sialic acid and fucose abundance were significantly decreased in infected mice compared to controls. Conversely, in the distal colon, mannose and sialic acid abundance increased significantly upon infection. Expression of mucin-associated glycosyltransferase genes was also altered in the small and large intestines of Giardia infected mice. In the jejunums of infected mice, expression of the sulfotransferase Chst4 decreased, while the fucosyltransferase Fut2 and the sialyltransferase St6GalNAc1 increased in comparison to controls. In both the jejunum and distal colon, expression of the core 2 synthase C2GnT1 increased, while expression of the core 1 synthase C1GalT1 was similar between control and infected mice. Conclusions Glycosylation patterns and the expression of glycosyltransferase genes are altered in both the small and large intestines of Giardia-infected mice. Disruptions to mucin glycans appear to be regiospecific, suggesting that unique mechanisms are involved in the regulation of mucosal glycosylation during parasitic infection throughout different regions of the gut. These findings uncover a novel mechanism in the pathogenesis of Giardia infection, and may be important in understanding intestinal barrier dysfunction in a variety of different gastrointestinal diseases. Funding Agencies CCC

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 score0.007

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 integrity0.0000.001
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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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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Citations1
Published2022
Admission routes1
Has abstractyes

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