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Record W7132991242

Uncovering Novel Anthelmintics: Targeting Caenorhabditis elegans Hyperosmotic Stress Recovery with Small Molecules

2025· dissertation· W7132991242 on OpenAlexaff
Kexin Gao

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsAmgen (Canada)
Fundersnot available
KeywordsCaenorhabditis elegansOsmotic concentrationAnthelminticPopulationOsmotic shockSmall molecule
DOInot available

Abstract

fetched live from OpenAlex

Around a quarter of the world’s population is infected with soil-transmitted helminths (STHs). Anthelmintics are the primary treatment for STH infections. However, due to prolonged and intensive use, anthelmintic resistance is emerging, and new drugs need to be developed. From literature, I found that osmoregulation is essential for STHs to establish infections within hosts. Using Caenorhabditis elegans as a model, I screened a RIKEN drug library and identified 12 hits that inhibited hyperosmotic recovery in worms. Interestingly, 4/12 hits targeted mitochondria, so I shifted my focus onto mitochondrial inhibitors. By testing them, I found that Complex II is especially important during hyperosmotic recovery. However, my experiments showed that the recovery defect due to Complex II inhibition was not directly caused by reduced ATP levels or a disrupted TCA cycle. Further studies are needed to clarify Complex II’s role during hyperosmotic recovery, which could reveal new targets for anthelmintic development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.011
GPT teacher head0.245
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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