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Record W2152369313 · doi:10.1645/ge-3021.1

<i>Giardia duodenalis</i>Assemblage-Specific Induction of Apoptosis and Tight Junction Disruption in Human Intestinal Epithelial Cells: Effects of Mixed Infections

2013· article· en· W2152369313 on OpenAlexaff
Wan Hon Koh, Thomas Geurden, Tim Paget, Ryan O’Handley, Robert F. L. Steuart, Richard C. Thompson, André G. Buret

Bibliographic record

VenueJournal of Parasitology · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiologyApoptosisEnterocyteGiardiaMicrobiologyPathogenesisIntestinal mucosaIn vitroIntestinal epitheliumIn vivoTight junctionEpitheliumCell biologyImmunologySmall intestineGenetics

Abstract

fetched live from OpenAlex

In view of the interest in genotype-specific pathogenesis in Giardia duodenalis , the aim of the present study was to examine the effects of infection with different, or mixed, G. duodenalis assemblages on the integrity of human intestinal epithelia. To that end, human epithelial cells (HCT-8) were cultured and exposed to different G. duodenalis assemblages (A, B, and E) or a combination of these assemblages. Epithelial disruption and apoptosis were evaluated by fluorescent microscopy and apoptotic oligonucleosome quantification. The results indicate that infection with trophozoites disrupts epithelial tight junctions and induces varying degrees of enterocyte apoptosis, depending on the infecting assemblage. All disruptions were caspase-3 dependent and were more pronounced when caused by a non-host specific assemblage. Furthermore, infections by isolates in combination with isolates from another assemblage enhanced the epithelial disruption and apoptosis. Further studies in vitro and in vivo are required to confirm the mechanisms of enhanced pathogenicity of mixed or non-host specific (or both) G. duodenalis infections. Findings in the present study point to the potential pathogenic importance of intra-species polyparasitism in giardiasis.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.009
GPT teacher head0.261
Teacher spread0.253 · 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 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

Citations49
Published2013
Admission routes1
Has abstractyes

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