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Record W3198688798 · doi:10.1101/2021.08.29.458125

NBI-921352, a First-in-Class, Na <sub>V</sub> 1.6 Selective, Sodium Channel Inhibitor That Prevents Seizures in <i>Scn8a</i> Gain-of-Function Mice, and Wild-Type Mice and Rats

2021· preprint· en· W3198688798 on OpenAlexaff
J. P. Johnson, Thilo Focken, Kuldip Khakh, Parisa Karimi Tari, Céline Dubé, Aaron D. Williams, Jean‐Christophe Andrez, Girish Bankar, David Bogucki, Kristen Burford, Elaine Chang, Sultan Chowdhury, Richard A. Dean, Gina de Boer, Shannon Decker, Christoph M. Dehnhardt, Mandy Feng, Wei Gong, Samuel J. Goodchild, Michael Grimwood, Abid Hasan, Angela Hussainkhel, Qi Jia, Stephanie J. Lee, Jenny Li, Sophia Lin, Andrea Lindgren, Verner Lofstrand, Janette Mezeyova, Rostam Namdari, Karen Nelkenbrecher, Noah Gregory Shuart, Luis Sojo, Shaoyi Sun, Matthew Taron, Matthew Waldbrook, Diana Weeratunge, Steven S. Wesolowski, Michael Wilson, Zhiwei Xie, Rhena Yoo, Clint Young, Alla Zenova, Wei Zhang, Alison Cutts, Robin Sherrington, Simon N. Pimstone, Raymond J. Winquist, Charles J. Cohen, James R. Empfield

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2021
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsXenon Pharmaceuticals (Canada)
FundersNeurocrine Biosciences
KeywordsSodium channelExcitatory postsynaptic potentialChemistryGene isoformSodiumInhibitory postsynaptic potentialGlutamatergicGain of functionEpilepsyWild typeSelectivityBiophysicsReceptorNeuroscienceMutationBiologyBiochemistryMutantGlutamate receptorGene

Abstract

fetched live from OpenAlex

Abstract NBI-921352 (formerly XEN901) is a novel sodium channel inhibitor designed to specifically target Na V 1.6 channels. Such a molecule provides a precision-medicine approach to target SCN8A -related epilepsy syndromes ( SCN8A -RES), where gain-of-function (GoF) mutations lead to excess Na V 1.6 sodium current, or other indications where Na V 1.6 mediated hyper-excitability contributes to disease (Gardella and Moller, 2019; Johannesen et al., 2019; Veeramah et al., 2012). NBI-921352 is a potent inhibitor of Na V 1.6 (IC 50 0.051 µM), with exquisite selectivity over other sodium channel isoforms (selectivity ratios of 756X for Na V 1.1, 134X for Na V 1.2, 276X for Na V 1.7, and >583X for Na V 1.3, Na V 1.4, and Na V 1.5). NBI-921352 is a state-dependent inhibitor, preferentially inhibiting activated (inactivated or open) channels. The state dependence leads to potent stabilization of inactivation, inhibiting Na V 1.6 currents, including resurgent and persistent Na V 1.6 currents, while sparing the closed/rested channels. The isoform-selective profile of NBI-921352 led to a robust inhibition of action-potential firing in glutamatergic excitatory pyramidal neurons, while sparing fast-spiking inhibitory interneurons, where Na V 1.1 predominates. Oral administration of NBI-921352 prevented electrically induced seizures in a Scn8a GoF mouse, as well as in wild-type mouse and rat seizure models. NBI-921352 was effective in preventing seizures at lower brain and plasma concentrations than commonly prescribed sodium channel inhibitor antiseizure medicines (ASMs) carbamazepine, phenytoin, and lacosamide. NBI-921352 was well tolerated at higher multiples of the effective plasma and brain concentrations than those ASMs. NBI-921352 is entering phase II proof-of-concept trials for the treatment of SCN8A- developmental epileptic encephalopathy ( SCN8A -DEE) and adult focal-onset seizures.

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 score0.003
Threshold uncertainty score0.008

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)0.0030.001

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 head0.010
GPT teacher head0.201
Teacher spread0.191 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

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