Discovery of a novel <i>Trichuris</i> species, <i>T. incognita</i> , with low sensitivity to albendazole-ivermectin treatment in Côte d’Ivoire patients, identified through fecal DNA metabarcoding
Bibliographic record
Abstract
Abstract Albendazole-ivermectin combination therapy is a promising alternative to benzimidazole monotherapy for Trichuris trichiura control. We used fecal DNA metabarcoding to genetically characterize Trichuris populations in patients from a clinical trial showing lower albendazole-ivermectin efficacy in Côte d’Ivoire (ERR below 70%) than in Lao PDR and Tanzania (ERR above 98%). ITS-1 and ITS-2 rDNA metabarcoding revealed the entire Côte d’Ivoire Trichuris population was phylogenetically distinct from T. trichiura in Lao PDR and Tanzania, and more closely related to the porcine parasite Trichuris suis . Complete mitogenomes of eight adult Trichuris from Côte d’Ivoire confirmed their species-level differentiation. Corresponding Trichuris ITS-1 and ITS-2 sequences in NCBI from individual human patients in Cameroon and Uganda and three captive non-human primates suggest this newly recognized species, T. incognita , is distributed beyond Côte d’Ivoire and has zoonotic potential. Further work is needed to assess the impact of this Trichuris species on soil transmitted helminth control programs.
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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".