Intermittent suppressive posaconazole therapy is ineffective at mitigating cardiac and digestive tract pathologies in an experimental model of chronic Chagas disease
Bibliographic record
Abstract
cause Chagas disease, a chronic condition that can give rise to debilitating cardiac and/or gastrointestinal damage. However, it is unclear why only ~30% of individuals progress to symptomatic pathology, why this can take decades to become apparent, and why there is such a wide range of disease outcomes. Disease pathology is a long-term cumulative process resulting from collateral damage caused by inflammatory immune responses that continually eliminate transient parasite infections in the heart and/or gastrointestinal tract. The guiding principle behind anti-parasitic drug development is that a sterile cure is required to prevent progression to symptomatic pathology. Evidence suggests that the cumulative damage required to reach the symptomatic threshold is determined by a number of factors, including host and parasite genetics, which govern the intensity and location(s) of infection. Therefore, an alternative therapeutic strategy could involve long-term intermittent treatment, which may not confer sterile cure but is able to suppress the parasite burden to a level where the disease does not become symptomatic within the lifetime of the infected individual. To test this hypothesis, we used an experimental murine model that displays both cardiac and digestive tract pathologies. Mice were given intermittent treatment with posaconazole under conditions that initially reduced the parasite burden by >99% but did not confer sterile clearance. Our results show that this did not provide long-term protection against the key cardiac or gastrointestinal manifestations of Chagas disease, and that sterile cure should remain the single goal of the drug development community.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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".