ArticleThe Journal of clinical and aesthetic dermatology2025
IL-17 Class Inhibitors and Plaque Psoriasis: Not All Biologics Relapse Equally.
Article in The Journal of clinical and aesthetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Biological Treatment of Psoriasis-Data So Far.Pharmaceuticals (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn patients with moderate-to-severe plaque psoriasis, recent meta-analyses compared efficacies among biologics and time to relapse after treatment withdrawal; however, there was notable heterogeneity in the clinical trials and their criteria used to define relapse. Furthermore, while biologics are effectively grouped into treatment classes based on their mechanisms of action (ie, anti-interleukin (IL)-23 class, anti-IL-17 class), not all biologics should necessarily be grouped into a class effect. For example, the anti-IL-17 class is heterogeneous in their mechanisms of action due to the variety of cytokines and receptors antagonized along with their accompanying gene expression changes in psoriatic disease. Therefore, we performed an in-depth assessment of biologics comprising the anti-IL-17 class and their associated pharmacokinetics (PK). We identified differences in PK parameters that may augment our understanding of how these biologics differ in function and explain variations in time to relapse of psoriatic disease after treatment withdrawal.
methodsA PubMed literature search was performed and articles screened to only include double-blind, randomized, placebo or comparator-controlled trials. The remaining articles were screened to ensure inclusion of a treatment withdrawal period and to confirm they investigated and defined relapse.
resultsWe identified five unique randomized controlled trials that examined time to relapse after treatment discontinuation for anti-IL-17 biologics. Brodalumab, an IL-17RA antagonist, consistently demonstrated the quickest time to relapse, whereas bimekizumab, the first-in-class dual IL-17A and IL-17F antagonist, demonstrated the longest time to relapse. LIMITATIONS: There is heterogeneity in both the criteria for treatment success prior to undergoing treatment withdrawal as well as relapse criteria. The only relapse datapoints shared by all four anti-IL-17 class biologics examined were median time to loss of PASI-75 and PASI-90.
conclusionDifferences in time to relapse after treatment discontinuation following treatment success can be attributed to both differences in biologic PK properties and mechanisms of action. These results warrant further investigation into the role of IL-17F in the pathogenesis of plaque psoriasis, as targeting this isoform appears to confer synergistic therapeutic benefit compared to targeting the IL-17A isoform alone. Furthermore, the classic understanding of IL-17RA blockade with brodalumab must be revisited as IL-17F was found to partially bind and signal through IL-17RA despite the presence of brodalumab.
Indexed as
Identifiers
41416024PMC12710993What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.