<i>Giardia duodenalis</i>Assemblage-Specific Induction of Apoptosis and Tight Junction Disruption in Human Intestinal Epithelial Cells: Effects of Mixed Infections
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".