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<i>Giardia duodenalis</i> Directly Depletes Mucins in Intestinal Goblet Cells

2016· article· en· W4389027149 on OpenAlexaff
Christina Amat, Jean‐Paul Motta, Kris Chadee, André G. Buret

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMucusMucinGoblet cellMicrobiologyBiologyGiardia lambliaMucin 2PathogenesisIntestinal mucosaImmunologyIrritable bowel syndromeEx vivoSmall intestineGiardiaIn vitroEpitheliumMedicineInternal medicine

Abstract

fetched live from OpenAlex

Giardia duodenalis (syn. G. lamblia , G. intestinalis ) is a small intestinal, diarrheagenic parasite that infects humans and animals across the world. While some mechanisms of acute giardiasis have been explained, the pathogenesis remains largely unclear. Giardiasis has also been shown to induce post‐infectious chronic illnesses, including post‐infectious irritable bowel syndrome (PI‐IBS) and extra‐intestinal complications. The pathology of these requires elucidation. While the mucus layers of the small and large intestines are protective against enteric infections, the effects that G. duodenalis has on host mucus remain unknown. Recent evidence indicates that G. duodenalis , despite its selective colonization of the small intestine, is able to affect the large intestine, where it causes hypersensitivity. We hypothesized that G. duodenalis may disrupt the protective mucus layers along the intestinal tract, facilitating the onset and propagation of disease. Objectives and Methods The objectives of the study were threefold: i) To determine the effects of G. duodenalis on human mucus‐producing goblet cells. This was observed by exposing human colonic biopsies or purified human mucus to live G. duodenalis trophozoites ex vivo . ii) To determine the effects of G. duodenalis on host intestinal cells, the mucus lining, and the commensal microbiota layers within a living system. This was explored by inoculating trophozoites into C57Bl/6 mice (WT) and Muc2 −/− (KO) mice. iii) To determine the direct effects of G. duodenalis on goblet cells and particularly, the main component of the mucus layer, mucin‐2 (MUC2). The use of an in vitro model, exposing G. duodenalis trophozoites to a human colonic goblet cell line, LS174T, allowed the study of the direct effects of G. duodenalis in the absence of confounding host microbial, immune, endocrine, or other local factors. Results Periodic acid‐Schiff/Alcian blue (PAS/AB) staining revealed that colonic biopsies exposed to G. duodenalis exhibited smaller mucin granules containing less mucin content. Western blotting showed that G. duodenalis degraded purified human mucins. PAS/AB staining confirmed depletion of goblet cell mucins in WT mice exposed to G. duodenalis , in the small, as well as the large, intestines. Fluorescence imaging using in situ hybridization (FISH) and wheat germ agglutinin (WGA) staining demonstrated that in Giardia ‐infected tissues of WT mice, the mucus layer was entirely lost and commensal bacteria translocated into the epithelial cell layer and lamina propria. Lastly, G. duodenalis reduced intracellular MUC2 in human colonic goblet cells LS174T. These effects were inhibited by a broad‐spectrum cysteine protease inhibitor. Conclusions While G. duodenalis colonizes the upper small intestine, it depletes mucus throughout the small and large intestines, in human biopsies and mice. Mucin depletion is also observed in monocultures of human intestinal goblet cells. These data suggest that G. duodenalis causes mucin depletion in the host intestine, through a combination of direct mucus breakdown and hypersecretion of goblet cells. The findings also indicate a potential role for parasitic cysteine proteases in these effects. Support or Funding Information Supported by HPI NSERC CREATE, NSERC Discovery and Queen Elizabeth II Master's Scholarship

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 score0.003
Threshold uncertainty score0.008

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)0.0030.001

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 head0.011
GPT teacher head0.230
Teacher spread0.219 · 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
Published2016
Admission routes1
Has abstractyes

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