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Record W4378611617 · doi:10.1093/sleep/zsad077.0609

0609 Samelisant, Histamine 3 Receptor Agonist for the Potential Treatment of Excessive Daytime Sleepiness in Patients with Narcolepsy

2023· article· en· W4378611617 on OpenAlexaboutno aff
Ramakrishna Nirogi, Jyothsna Ravula, Pradeep Jayarajan, Vinod Goyal, Satish Jetta, Anil Shinde, Vijay Benade

Bibliographic record

VenueSLEEP · 2023
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsnot available
Fundersnot available
KeywordsNarcolepsyCataplexyExcessive daytime sleepinessMedicineTolerabilityEpworth Sleepiness ScalePlaceboClinical endpointInternal medicineAdverse effectSleep disorderClinical trialPolysomnographyInsomniaModafinilPharmacology

Abstract

fetched live from OpenAlex

Abstract Introduction Samelisant (SUVN-G3031) is a potent and selective histamine 3 receptor inverse agonist. In orexin knockout mice, samelisant produced wake-promoting and anticataplectic effects suggesting its potential therapeutic utility in the treatment of narcolepsy. Safety and tolerability studies in animals and healthy human volunteers suggested a favorable risk/benefit profile for samelisant. Methods Samelisant is currently being evaluated in a double blind, Phase-2 proof of concept study in USA and Canada for narcolepsy with or without cataplexy (ClinicalTrials.gov Identifier: NCT04072380). The study is recruiting subjects diagnosed with narcolepsy as per ICSD-3 criteria, aged between 18 to 65 years with an Epworth Sleepiness Scale (ESS) score of ≥12 and mean Maintenance of Wakefulness Test (MWT) time of < 12 min. A total of 171 subjects are expected to be randomized into 3 treatment arms (placebo, samelisant 2 mg and samelisant 4 mg) in 1:1:1 ratio. Each subject will receive either placebo or study drug once daily for 2 weeks. The primary efficacy endpoint is change in MWT score from baseline to week 2. Key secondary endpoint is change in ESS from baseline to week 2. Safety will be monitored throughout the study by medical monitor and by data safety monitoring committee. As the study is still recruiting, demographics and baseline characteristic data for the currently enrolled subjects is summarized descriptively. Since the study is blinded, a breakdown of baseline characteristics by treatment group will not be available until after completion. Results At the data cutoff date of Nov 30, 2022, a total of 155 subjects were randomized in the study. The median age of subjects was 30 years (range: 18-57 years) with mean BMI of 28.5 kg/m2 (range: 18.3- 43.9 kg/m2). Overall, 57% subjects were of narcolepsy type-1, 71% were female and 71% were Caucasian. Mean (SD) baseline values of MWT and ESS scores were 6.1 (4.4) and 17.2 (2.8), respectively. Conclusion Baseline characteristics are consistent with the general narcolepsy population. The study is currently enrolling subjects with narcolepsy and the data readout is expected in Q2 2023. Support (if any)

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations3
Published2023
Admission routes1
Has abstractyes

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