Investigating E. coli Strain HT115-mediated RNA Interference in the Treatment of Gastrointestinal Nematode Infection by Ascaris lumbricoides
Bibliographic record
Abstract
Nematodes are parasitic worms in the body that can lead to a variety of health problems. One subset of these nematodes are called Ascaris lumbricoides, which proliferate within the intestine. This is the most common worm affecting humans, infecting over hundreds of millions globally. A common method of nematode infection is through contact with soil contaminated with their eggs. This experiment attempts to disrupt the VENOM gene of A. lumbricoides to prevent their function in human hosts and lead to expulsion of the worm. This experiment begins with editing a gut bacterium to deliver RNA interference molecules to target the VENOM gene and lead to parasite expulsion. We propose two delivery methods of secretion: the first is to use the outer membrane vesicles to package and deliver the RNA and the second is to directly secrete the RNAi using a bacterial Type 3 secretion system. We propose that in both methods after the release of the RNAi, it will be absorbed by the worm and downregulate the VENOM gene leading to the worm's death. These findings will be able to provide valuable insight into improving current therapies and potentially give insight on how we can prevent recurrence of nematode infection.
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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 | 0.001 |
| 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".