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Record W4403286057 · doi:10.1016/s2468-1253(24)00246-2

Denifanstat for the treatment of metabolic dysfunction-associated steatohepatitis: a multicentre, double-blind, randomised, placebo-controlled, phase 2b trial

2024· article· en· W4403286057 on OpenAlexaboutno aff
Rohit Loomba, Pierre Bédossa, Katharine Grimmer, George Kemble, Eduardo B. Martins, William McCulloch, Marie O’Farrell, Wen-Wei Tsai, Jose Cobiella, Eric Lawitz, Madhavi Rudraraju, Stephen A. Harrison

Bibliographic record

Venue˜The œLancet. Gastroenterology & hepatology · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSteatohepatitisClinical endpointPlaceboInternal medicineFatty liverFibrosisClinical trialGastroenterologyRandomized controlled trialDiseasePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Denifanstat, an oral fatty acid synthase (FASN) inhibitor, blocks de-novo lipogenesis, a key pathway driving progressive lipotoxicity, inflammation, and fibrosis in metabolic dysfunction-associated steatohepatitis (MASH). This study aimed to examine the safety and efficacy of denifanstat for improving liver histology in individuals with MASH and moderate to advanced fibrosis. METHODS: This multicentre, double-blind, randomised, placebo-controlled, phase 2b trial was conducted at 100 clinical sites in the USA, Canada, and Poland. After a screening period of up to 90 days, participants aged 18 years and older with biopsy-confirmed MASH and stage F2 or F3 fibrosis were randomly assigned (2:1) to receive either 50 mg oral denifanstat or placebo once per day for 52 weeks. Participants were dynamically allocated to treatment groups via a centrally administered interactive web-based response system and stratified by type 2 diabetes, region, and fibrosis stage. Investigators, patients, and the sponsor were masked to group allocation until database lock. The primary efficacy endpoints were a 2-point or greater improvement in non-alcoholic fatty liver disease activity score (NAS) without a worsening of fibrosis or MASH resolution with a 2-point or greater improvement in NAS without a worsening of fibrosis at week 52, assessed by intention to treat. Safety was assessed in all participants who received at least one dose of study drug. This trial is registered with ClinicalTrials.gov, NCT04906421, and is closed for enrolment. FINDINGS: Of the 1087 individuals screened between June 2, 2021, and June 28, 2022, 168 eligible participants were randomly assigned to receive a dose of 50 mg denifanstat once per day (n=112) or placebo (n=56). All 168 participants (100 female, 68 male) received at least one dose of study treatment. In the ITT population, 42 (38%) of 112 participants in the denifanstat group had a 2-point or greater improvement in NAS without a worsening of fibrosis versus nine (16%) of 56 participants in the placebo group (common risk difference 21·0%, 95% CI 8·1-33·9; p=0·0035). 29 (26%) of 112 participants in the denifanstat group showed MASH resolution with a 2-point or greater improvement in NAS without a worsening of fibrosis compared with six (11%) of 56 participants in the placebo group (common risk difference 13·0%, 0·7-25·3; p=0·0173). The most common treatment-emergent adverse events were COVID-19 (19 [17%] of 112 in the denifanstat group vs six [11%] of 56) in the placebo group, dry eye symptoms (ten [9%] of 112 vs eight [14%] of 56), and alopecia (21 [19%] of 112 vs two [4%] of 56). All adverse events considered to be related to the study drug were of grade 1 or grade 2. None of the serious adverse events (13 [12%] of 112 participants in the denifanstat group vs three [5%] of 56 in the placebo group) were considered drug-related. INTERPRETATION: Treatment with denifanstat resulted in statistically significant and clinically meaningful improvements in disease activity, MASH resolution, and fibrosis. The results of this phase 2b trial support the advancement of denifanstat to phase 3 development. FUNDING: Sagimet Biosciences.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
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)0.0000.000

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 head0.041
GPT teacher head0.329
Teacher spread0.287 · 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.

Study designRandomized trial
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

Citations90
Published2024
Admission routes1
Has abstractyes

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