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Record W4411395488 · doi:10.1016/j.ard.2025.05.391

LB0004 RANDOMISED, PLACEBO-CONTROLLED PHASE II STUDY OF ORAL ENPATORAN, A FIRST-IN-CLASS TOLL-LIKE RECEPTOR 7/8 INHIBITOR, IN SYSTEMIC LUPUS ERYTHEMATOSUS

2025· article· en· W4411395488 on OpenAlexaff
Eric F. Morand, Maria Dall’Era, Jorge Sánchez‐Guerrero, Dess Pearson, Victoria P. Werth, Joerg Wenzel, S. Roy, Christine Kleinmond, Ruth Fernandez‐Ruiz, Lena Klopp‐Schulze, Hans Gühring, F. Moreau, Richard Furie

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsToronto Western HospitalMount Sinai Hospital
Fundersnot available
KeywordsMedicinePlaceboInternal medicineImmunologyPharmacologyDermatologyAlternative medicinePathology

Abstract

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Background: Current treatments for lupus (including systemic lupus erythematosus [SLE] and cutaneous lupus erythematosus [CLE]) offer inadequate disease control and may be associated with cumulative toxicity. Toll-like receptors (TLR) 7 and TLR8 have functions in innate and adaptive immunity implicated in SLE pathogenesis. Gain-of-function mutations in TLR7 were identified in patients (pts) with SLE, and TLR7/8 signalling pathways play a central role in regulating interferon (IFN) induction. Preclinical data suggest TLR7/8 activation may mediate glucocorticoid (GC) resistance. Enpatoran is a first-in-class, oral small molecule TLR7/8 inhibitor. WILLOW (NCT05162586) is a Phase II randomised double-blind placebo (pbo)-controlled dose-finding parallel adaptive study in adults with SLE or CLE receiving standard of care (SoC) to evaluate the efficacy and safety of enpatoran. In Cohort A of WILLOW, enpatoran demonstrated a significant dose response in change from baseline (BL) in Cutaneous Lupus Disease Area and Severity Index-Activity (CLASI-A) vs pbo at Week (wk) 16 in CLE or SLE with active lupus rash. Objectives: Report results from WILLOW Cohort B in pts with active SLE despite SoC. Methods: Pts with SLE of moderate to high disease activity (British Isles Lupus Assessment Group [BILAG] 2004 ≥1A or 2B), and hybrid SELENA-SLEDAI ≥6 and/or CLASI-A ≥8 were enrolled. In Part 1, 60 pts were randomised 1:2 to pbo or enpatoran 100 mg twice daily (BID). Part 2 was then activated, with pts randomised 1:1:1:1 to SoC plus pbo, enpatoran 25 mg BID, 50 mg BID or 100 mg BID for 24 wks. The primary objective was to evaluate the dose-response relationship of enpatoran in reducing disease activity, based on the BILAG-based Composite Lupus Assessment (BICLA) response rate at Wk24. Five dose-response models were tested using one-sided Multiple Comparison Procedure-Modelling methodology to control for multiplicity (all for dose vs BICLA response at Wk24). Secondary and exploratory endpoints included change in type I IFN gene signature (IFN-GS) level, BICLA response with clinically meaningful GC reduction, and BICLA response rate and CLASI-A improvement ≥50%/70% (CLASI-50/70) in pts with CLASI-A score ≥8 at BL. Treatment-emergent adverse events (TEAEs) were recorded. Results: 354 pts were randomised; 353 were evaluated for efficacy (pbo n=94; enpatoran 25 mg BID n=71; 50 mg BID n=74; 100 mg BID n=114). 94.9% of pts were female; median age was 41 years. At BL, most pts had musculoskeletal (92.4%) or mucocutaneous (98.0%) involvement; 85.3% of pts were receiving systemic GC (51.0% a prednisone-equivalent dose ≥10 mg/day). No statistically significant dose-response relationship for enpatoran was identified; all doses were associated with higher BICLA response rates vs pbo (Table 1) with a nominally significant improvement in the 25 mg BID group at Wk24 (nominal p=0.0088). The largest treatment effect occurred in subgroups with high IFN-GS or prednisone-equivalent dose ≥10 mg at BL. Compared with pbo, type I IFN-GS was significantly reduced for all enpatoran doses as early as Wk2 and maintained to Wk24. Higher rates of BICLA response combined with clinically meaningful GC reduction were observed in all enpatoran groups vs pbo (58.8%, 55.6% and 47.5% vs 31.4%). In pts with CLASI-A score ≥8 at BL (pbo n=41; enpatoran 25 mg BID n=29; 50 mg BID n=38; 100 mg BID n=54), BICLA response rates were higher for enpatoran than pbo, and up to 81.5%/60.5% of pts receiving enpatoran had CLASI-50/70 responses, vs 41.5%/26.8% for pbo, respectively at Wk24. There was no clinically meaningful difference in rates of TEAEs between enpatoran and pbo (range: 61%-64%), including the most frequently reported TEAEs, which were infections and infestations. There was no apparent dose-dependent increase in TEAEs, including severe TEAEs, with enpatoran (Table 2). Conclusion: In this Phase II study, enpatoran was well tolerated and exhibited nominally significant improvements in measures of SLE disease activity through Wk24 vs pbo. Enpatoran-mediated downmodulation of IFN-GS confirms the involvement of the TLR7/8 pathway in type I IFN pathway activation in SLE. REFERENCES: NIL . Acknowledgements: The authors wish to thank Dominika Weinelt for their support with the study conduct and analysis. Medical writing support was provided by Nicole Jones on behalf of Amica Scientific, Macclesfield, UK, and sponsored by Merck Healthcare KGaA, Darmstadt, Germany. Disclosure of Interests: Eric Morand Consulting fees, speaker honoraria and appeared on scientific advisory boards for AstraZeneca, Biogen, Bristol Myers Squibb, DragonFly, Eli Lilly, EMD Serono, GlaxoSmithKline, Novartis, Remegen, Quell, UCB, and Zenas (arrangements are direct with author)., Research funding from AbbVie, Amgen, AstraZeneca, Biogen, Bristol Myers Squibb, Eli Lilly, EMD Serono, Genentech-Hoffman La Roche, GSK, Janssen, Novartis, Takeda, and Union Chimique Belge (grants/contracts with Monash University), Maria Dall'Era Maria Dall'Era serves as an advisor for Aurinia, AstraZeneca, GSK and Genentech, and participates in data monitoring committees for Janssen and Cabaletta., Jorge Sanchez-Guerrero Jorge Sanchez-Guerrero is a consultant for Biogen Inc. and EMD Serono., David Pearson Consultant for Biogen Inc., Merck & Co., and Pfizer Inc., Received grant and/or clinical trials support from Daiichi Sankyo Inc., EMD Serono Inc., and Priovant Therapeutics., Victoria P. Werth Consultant for Merck Healthcare KGaA. The University of Pennsylvania owns the copyright for the CLASI., Jörg Wenzel Received honoraria from Merck Healthcare KGaA for advisory activities., Sanjeev Roy Employee of Ares Trading SA, Eysins, Switzerland, an affiliate of Merck KGaA., Christine Kleinmond Employee of Merck Healthcare KGaA, Darmstadt, Germany., Ruth Fernandez-Ruiz Employee of Merck Healthcare KGaA, Darmstadt, Germany., Lena Klopp-Schulze Employee of Merck Healthcare KGaA, Darmstadt, Germany., Hans Gühring Employee of Merck Healthcare KGaA, Darmstadt, Germany., Flavie Moreau Employee of EMD Serono Research & Development Institute, Inc., Billerica, MA, USA, an affiliate of Merck KGaA., Richard A. Furie Received honoraria from Merck Healthcare KGaA for advisory activities. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.017
GPT teacher head0.300
Teacher spread0.284 · 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 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

Citations3
Published2025
Admission routes1
Has abstractyes

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