Establishment of T‐Helper‐2 immune response based gerbil model of enteric infection
Bibliographic record
Abstract
BACKGROUND: The reciprocal antagonism of T-helper-1 (Th-1) and Th-2 type immune responses suggests that helminth parasitic infection may ameliorate disease where a Th-1 type response dominates. The Mongolian gerbil has been useful in the investigation of the pathogenesis of gastric cancer, since long-term infection of gerbils with Helicobacter pylori induces adenocarcinoma. In this study the kinetics of worm expulsion and associated immune responses in gerbils infected with Trichinella spiralis were investigated in an attempt to establish an animal model of parasitic infection that could be helpful when investigating the effect of a Th-2 type response on Th-1-based intestinal disorders. METHODS: Gerbils were infected with various doses of infective T. spiralis larvae and were euthanized on different days after infection to investigate the intestinal worm recovery, goblet cell population, eosinophil response and serum IgG1 responses. RESULTS: The number of worms recovered from the intestine was dependent on the number of larvae used for the infection. Almost all worms were expelled spontaneously by day 26 post-infection, when the gerbils had been infected with 375 or 750 larvae. The number of intestinal goblet cells, eosinophils and the serum IgG1 level significantly increased following infection compared with the control. CONCLUSION: This is the first comprehensive report on the time-course of T. spiralis infection in gerbils. The data indicate that the T. spiralis-infected gerbil could be used as a model of the Th-2-based response to investigate the effect of a parasite-induced Th-2 response on various Th-1-mediated intestinal disorders such as H. pylori-induced gastritis and gastric carcinoma.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".