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Record 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 on 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

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsInnovaderm (Canada)
Fundersnot available
KeywordsMedicinePsoriasisPharmacodynamicsDermatologyInternal medicinePharmacokinetics

Abstract

fetched live from 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.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.342
Teacher spread0.311 · 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 designObservational
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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