Severity of murine arthritis induced by Freund's complete adjuvant is reduced by prior infection with the tapeworm parasite <i>Hymenolepis diminuta</i>
Bibliographic record
Abstract
Infection with helminth parasites can prevent or reduce the severity of colitis and airway inflammation in murine models of human inflammatory bowel disease and asthma. We postulated that infection with H. diminuta , which is spontaneously expelled from mice, would ameliorate the inflammation evoked by direct injection of Freund's complete adjuvant (FCA) into the knee joint, as a model of inflammatory joint disease. Male mice were orally gavaged with 5 viable H. diminuta cysticercoids in 100μl PBS and 8 days later received FCA (50 μl) into the right knee joint. Controls: a) PBS gavage + PBS knee injection, b) H. diminuta gavage + PBS injection, c) PBS gavage + FCA injection. Knee diameter was measured over a 7 day period and on sacrifice, blood samples were collected, spleen cells stimulated for cytokine production, knee joints extracted for myeloperoxidase (MPO) activity and RT‐PCR performed for cytokine mRNA expression. Mice infected with H. diminuta were significantly protected from FCA‐induced arthritis as shown by reduced knee swelling, fewer circulating neutrophils, lower MPO levels in the joint and reduced splenocyte TNFα production. Thus, our results show that prior infection with the helminth parasite, H. diminuta , significantly protects mice from the arthritic effects of FCA. Funded by CIHR.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".