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Enregistrement W4411426894 · doi:10.1016/j.ard.2025.06.433

POS1079 Pharmacodynamic Response of JNJ-77242113 in Serum and Skin of Patients with Moderate-to-Severe Psoriasis: 1-Year Results from FRONTIER 1 & 2

2025· article· en· W4411426894 sur OpenAlexaff
Kilian Eyerich, Laura K. Ferris, James G. Krueger, Amy S. Paller, Andreas Pinter, Arun Kannan, David Strawn, Sunita Bhagat, Donald Richards, Diane Horowitz, Kate Paget, Chien‐Chih Chou, J.F. Merola, Eric Chen, Cynthia Marie Carver DeKlotz, Paul Newbold, Dawn Waterworth, Melissa Leung, Bradford L. McRae, Michelle C. Miller, Tami Ota, Deirdre Ruane, Ya‐Wen Yang, Robert Bissonnette

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiquePharmaceutical studies and practices
Établissements canadiensInnovaderm (Canada)
Organismes subventionnairesnon disponible
Mots-clésMedicinePsoriasisPharmacodynamicsDermatologyInternal medicinePharmacokinetics

Résumé

récupéré en direct d'OpenAlex

Background: JNJ-77242113 (JNJ-2113), a targeted oral peptide that binds the interleukin (IL)-23-receptor to inhibit IL-23 signaling, showed superior clinical efficacy vs placebo at Week(W) 16 of FRONTIER-1 in patients with moderate-to-severe plaque psoriasis, which correlated with strong serum and skin pharmacodynamic (PD) responses [1]. Objectives: To evaluate JNJ-2113 systemic PD responses through W52 and further characterize the JNJ-2113 skin PD effect, including relationships with clinical response, utilizing tape-strip skin sampling. Methods: FRONTIER-1 randomized (1:1:1:1:1:1) 41-43 participants per arm to 25mg once daily (QD), 25mg twice daily (BID), 50mg QD, 100mg QD, 100mg BID, or placebo through W16. Patients who continued in FRONTIER-2 received the same JNJ-2113 regimen, while those who were in the placebo group switched to the 100 mg QD dose, continuing for a total of 52-weeks of treatment. Both targeted (β-Defensin-2 [BD-2]/IL-22/IL-17A/IL-17F/IL-23) and broad (5400+ protein Olink® Explore HT) proteomics were conducted using serum samples collected through W52. The BD-2 and Olink® Explore-HT assays were performed on protein lysates extracted from tape-strip samples of lesional and non-lesional skin collected through W16, and the correlation between BD-2 levels and Psoriasis Area and Severity Index (PASI) scores was evaluated. Results: JNJ-2113 drove significant, rapid, dose-related reductions in serum psoriasis disease biomarker (BD-2/IL-22/IL-17A/IL-17F) levels that continued through W52; largest reductions were generally seen with JNJ-2113 100mg BID (W52 fold-change [FC] from baseline: -3.69/-1.19/-1.05/-1.46, respectively). Notably, through W52, JNJ-2113 had minimal impact on serum IL-23 (W52 FC from baseline: -0.13) or cytokines involved in broad immune response through W52 as assessed via Olink® Explore-HT. Consistent with serum results, JNJ-2113 100mg BID significantly reduced BD-2 levels in W16 lesional skin to levels seen in non-lesional skin; this reduction correlated with PASI. Broad proteomics of tape-strip samples showed baseline lesional samples were significantly enriched for psoriasis-relevant proteins (BD-2/IL-22/IL-17A/IL-19 and others) and clustered away from non-lesional samples. Importantly, JNJ-2113 100mg BID reduced psoriasis-related proteins in W16 tape-strip lesional samples, with a protein signature like non-lesional samples but distinct from baseline lesional and W16 placebo samples, suggesting JNJ-2113 attenuated skin inflammation. Conclusion: JNJ-2113 selectively blocked IL-23-driven inflammation and induced a dose-related PD response, with rapid and sustained reduction of biomarkers of the IL-23 pathway and psoriasis disease severity through 1-year of treatment. JNJ-2113 also attenuated skin inflammation with robust reduction in psoriasis-relevant disease biomarkers. Our novel approach to tape-strip derived proteomics demonstrates this minimally invasive alternative to skin biopsies can be used to evaluate disease biology and characterize local treatment response in psoriatic patients. REFERENCES: [1] Bissonnette R, Pinter A, Ferris LK et al. An oral interleukin-23-receptor antagonist peptide for plaque psoriasis. N Engl J Med 2024; 390:510-21. Acknowledgements: NIL . Disclosure of Interests: Kilian Eyerich Speaker's fees from, and/or advisory board member: AbbVie, Almirall, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Hexal, Janssen, Leo, Novartis, Pfizer, Sanofi, Sitryx, and UCB, Co-founder and shares of Dermagnostix and Dermagnostix R&D, Laura K. Ferris Speaker: AbbVie, Arcutis, Boehringer Ingelheim, Bristol Myers Squibb, Regeneron, Consultant: AbbVie, Amgen, Apogee, Arcutis, Boehringer-Ingelheim, Bristol Myers Squibb, Cara Therapeutics, Dermavant, DermTech, Janssen, Leo Pharma, Novartis, Pfizer, Regeneron, Takeda, Investigator: AbbVie, Acelyrin, Amgen, Apogee, Arcutis, Aristea, Boehringer Ingelheim, Bristol Myers Squibb, Cara Therapeutics, Castle Biosciences, DermTech, Eli Lilly, Galderma, GRAIL, Incyte, Janssen, Leo Pharma, Moberg, Mobius, Novartis, Regeneron, SkinAnalytics, Takeda, UCB, James G. Krueger Consultant/honoraria: AbbVie, Aclaris, Allergan, Almirall, Amgen, Arena, Aristea, Asana, Aurigene, Biogen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Escalier, Galapagos, Janssen, MoonLake, Nimbus, Novartis, Pfizer, Sanofi, Sienna, Sun, Target-Derm, UCB, Valeant, and Ventyx, Amy Paller Consultant: AbbVie, Abeona, Apogee, Arcutis, Aslan, BioCryst, Boehringer Ingelheim, Bristol Myers Squibb, Dermavant, Incyte, Johnson and Johnson, Krystal Biotech, LEO, Mitsubishi Tanabe, Nektar, Primus, Procter and Gamble, Regeneron, Sanofi, Seanergy, TWI Biotech, and UCB, Investigator: AbbVie, Applied Pharma Research, Biomendics, Dermavant, Eli Lilly, Incyte, Janssen, Krystal, Regeneron, Timber, and UCB; Data Safety Monitoring Board member: AbbVie, Abeona, and Galderma, Andreas Pinter Advisor, received speaker's honoraria, received grants, and/or participated in clinical trials: AbbVie, Almirall Hermal, Amgen, Biogen Idec, BioNTech, Boehringer Ingelheim, Celgene, Celltrion, Eli Lilly, Galderma, GSK, Hexal, Janssen-Cilag GmbH, Klinge Pharma, LEO Pharma, MC2, Medac, Merck Serono, Mitsubishi, MSD, Novartis, Pascoe, Pfizer, Regeneron, Roche, Sandoz Biopharmaceuticals, Sanofi Genzyme, Schering-Plough, Tigercat Pharma, UCB Pharma, Zuellig Pharma, Arun Kannan May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, David Strawn May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Sunita Bhagat May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Dylan Richards May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Dan Horowitz May own stock/stock options in Johnson & Johnson, Employees of Janssen Research & Development, LLC, Kate Paget May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Ching-Heng Chou May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Joseph F. Merola Consultant of: AbbVie, Amgen, Astra-Zeneca, Biogen, Boehringer Ingelheim, Bristol Myers Squibb, Dermavant, Eli Lilly, Incyte, Janssen, Leo, Novartis, Pfizer, Sanofi-Regeneron, Sun, and UCB, Grant/research support from: AbbVie, Amgen, Astra-Zeneca, Biogen, Boehringer Ingelheim, Bristol Myers Squibb, Dermavant, Eli Lilly, Incyte, Janssen, Leo, Novartis, Pfizer, Sanofi-Regeneron, Sun, and UCB, Elizabeth Chen May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Cynthia DeKlotz May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Paul Newbold May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Dawn Waterworth May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Monica Leung May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Bradford McRae May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Megan Miller May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Takayuki Ota May own stock/stock options in Johnson & Johnson, Employee of Janssen Research & Development, LLC, Darren Ruane May own stock/stock options in Johnson & Johnson, Employees of Janssen Research & Development, LLC, Ya-Wen Yang May own stock/stock options in Johnson & Johnson, Employee of Janssen Pharmaceutical Companies of Johnson & Johnson, Robert Bissonnette Shareholder of Innovaderm Research, Employee of Innovaderm Research, Advisory Board Member, consultant, speaker and/or investigator for and received honoraria and/or grants: AbbVie, Alumis, Arcutis, Amgen, Bausch Health, Boston, BMS/Celgene, Dermavant, Eli Lilly, Janssen, LEO Pharma, Nimbus, Novartis, Pfizer, Regeneron, UCB, VentyxBio, and Xencor. © 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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,342
Écart entre enseignants0,311 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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