MétaCan
Menu
Back to cohort
Record W4408215760 · doi:10.3390/parasitologia5010012

Characterization of a Choline-Gated Chloride Channel (LGC-40) from Haemonchus contortus Highlights a Novel Cholinergic Binding Site

2025· article· en· W4408215760 on OpenAlexafffund
Kristen Nazareth, Sarah A. Habibi, Sean G. Forrester

Bibliographic record

VenueParasitologia · 2025
Typearticle
Languageen
FieldMedicine
TopicCholinesterase and Neurodegenerative Diseases
Canadian institutionsOntario Tech University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHaemonchus contortusCholinergicChloride channelAcetylcholineAcetylcholine receptorCholineXenopusLigand-gated ion channelBiologyNeurotransmitter receptorCholine chlorideLigand (biochemistry)Ion channelBiochemistryChemistryReceptorNematodePharmacologyEndocrinologyGene

Abstract

fetched live from OpenAlex

Nematode cys-loop ligand-gated chloride channels are important targets for anthelmintic drugs as many subtypes are not present in mammals. We report the isolation and functional characterization of a novel member of the cys-loop ligand-gated chloride channel family (Hco-LGC-40) from the parasitic nematode Haemonchus contortus. Electrophysiological analysis of the channel expressed in Xenopus oocytes revealed that it responds to both acetylcholine and choline with EC50 values in the low micromolar range. Hco-LGC-40 can also associate with a member of a separate family of acetylcholine-gated chloride channels, Hco-ACC-1, to produce a heteromeric channel with a lower sensitivity to acetylcholine. In silico analysis reveals several residues that may play a role in forming a unique cholinergic binding pocket. Overall, these results suggest that choline may act as a neurotransmitter by binding to cys-loop receptors in parasitic nematodes.

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 score0.003

Distilled classifier scores by category (both heads)

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

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.

Opus teacher head0.025
GPT teacher head0.304
Teacher spread0.278 · 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 routes2
Has abstractyes

Explore more

Same venueParasitologiaSame topicCholinesterase and Neurodegenerative DiseasesFrench-language works237,207