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      Structural Basis for p19 Targeting by Anti–IL-23 Biologics: Correlations with Short- and Long-Term Efficacy in Psoriasis

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          Abstract

          IL-23 is central to psoriasis pathogenesis. Biologics targeting IL-23 are important therapies against psoriasis. IL-23 inhibitors risankizumab, tildrakizumab, and guselkumab bind the IL-23 p19 subunit, whereas ustekinumab binds p40; however, the structural composition of the IL-23–binding epitopes and how these molecular properties relate to clinical efficacy are not known. Utilizing epitope data derived from hydrogen-deuterium exchange or crystallographic experiments, we mapped inhibitor epitope locations, hydrophobicity, and surface charge onto the IL-23 surface. Molecular properties of each inhibitor epitope, including solvent-accessible surface area, were correlated to binding affinity, kinetic values, and clinical efficacy scores for plaque psoriasis through linear regression analysis. Each IL-23 inhibitor binds an epitope with a unique size, composition, and location except for a 10-residue overlap region outside of the IL-23 receptor epitope. We observed strong correlations between epitope surface area and K D and k off but not k on. Epitope surface area, K D, and k off were further associated with short-term (10–16 weeks) and long-term (44–60 weeks) clinical efficacy according to PASI-90 responses, with risankizumab demonstrating highest efficacy among IL-23 biologics. In contrast, k on, epitope hydrophobicity, polarity, and charge content did not correlate with efficacy. These data exemplify how molecular principles of medications within a therapeutic class can explain their differential clinical responses.

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          UCSF Chimera--a visualization system for exploratory research and analysis.

          The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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            Comparison of Biologics and Oral Treatments for Plaque Psoriasis: A Meta-analysis

            What is the short-term and long-term comparative efficacy among biologics and oral agents for plaque psoriasis? In a network meta-analysis of 60 clinical trials for short-term efficacy, brodalumab, guselkumab, ixekizumab, and risankizumab-rzaa had the highest Psoriasis Area and Severity Index response rates at 10 to 16 weeks from baseline. A meta-analysis of long-term efficacy suggested that brodalumab, guselkumab, ixekizumab, and risankizumab-rzaa had the highest response rates at 44 to 60 weeks. This study provides an assessment of both short-term and long-term comparative efficacy among treatments for moderate to severe plaque psoriasis which can help health care stakeholders optimize treatment regimens. The clinical benefits of novel treatments for moderate to severe psoriasis are well established, but wide variations exist in patient response across different therapies. In the absence of head-to-head randomized trials, meta-analyses synthesizing data from multiple studies are needed to assess comparative efficacy among psoriasis treatments. To estimate the relative short-term and long-term efficacy of biologics and oral agents for the treatment of moderate to severe psoriasis. A systematic literature review was conducted on December 4, 2017, and updated on September 17, 2018. The Embase, MEDLINE, and Cochrane Central Register databases were included. Phase 2, 3, or 4 randomized clinical trials of treatments licensed by the US Food and Drug Administration and the European Medicines Agency for adults with moderate to severe psoriasis with data on Psoriasis Area and Severity Index assessment of 75%, 90%, and 100% reductions (PASI 75, 90, and 100) at 10 to 16 weeks (short-term efficacy) or 44 to 60 weeks (long-term efficacy) from baseline. Data were extracted based on the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines. A bayesian network meta-analysis was conducted to estimate short-term PASI response rates; to account for variation across trials, an ordinal model that adjusted for reference arm response was implemented. The long-term PASI rates were estimated via a traditional meta-analysis. PASI 75, 90, and 100 response rates at 10 to 16 weeks and 44 to 60 weeks from baseline. Sixty trials meeting all inclusion criteria were included. At weeks 10 to 16, the highest PASI 90 rates were seen with risankizumab-rzaa (71.6%; 95% credible interval [CrI], 67.5%-75.4%), brodalumab (70.8%; 95% CrI, 66.8%-74.6%), ixekizumab (70.6%; 95% CrI, 66.8%-74.6%), and guselkumab (67.3%; 62.5%-71.9%). At weeks 44 to 60, the treatments with the highest PASI 90 rates were risankizumab-rzaa (79.4%, 95% CI, 75.5%-82.9%), guselkumab (76.5%; 95% CI, 72.1%-80.5%), brodalumab (74.0%; 95% CI, 69.3%-78.1%), and ixekizumab (73.9%; 95% CI, 69.9%-77.5%). Findings were consistent for short-term and long-term PASI 75 and 100 responses. This study provides an assessment of the comparative efficacy among treatments for moderate to severe plaque psoriasis. The meta-analysis suggests that brodalumab, guselkumab, ixekizumab, and risankizumab-rzaa were associated with the highest PASI response rates in both short-term and long-term therapy. This meta-analysis examines the use of biologics and oral agents for treatment of moderate to severe psoriasis.
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              Generation and characterization of ixekizumab, a humanized monoclonal antibody that neutralizes interleukin-17A

              Interleukin (IL)-17A exists as a homodimer (A/A) or as a heterodimer (A/F) with IL-17F. IL-17A is expressed by a subset of T-cells, called Th17 cells, at inflammatory sites. Most cell types can respond to the local production of IL-17A because of the near ubiquitous expression of IL-17A receptors, IL-17RA and IL-17RC. IL-17A stimulates the release of cytokines and chemokines designed to recruit and activate both neutrophils and memory T-cells to the site of injury or inflammation and maintain a proinflammatory state. IL-17A-producing pathogenic T-cells contribute to the pathogenesis of autoimmune diseases, including psoriasis, psoriatic arthritis, rheumatoid arthritis, and ankylosing spondylitis. This study describes the generation and characterization of ixekizumab, a humanized IgG4 variant IL-17A-neutralizing antibody. Ixekizumab binds human and cynomolgus monkey IL-17A with high affinity and binds rabbit IL-17A weakly but does not bind to rodent IL-17A or other IL-17 family members. Ixekizumab effectively inhibits the interaction between IL-17A and its receptor in binding assays and potently blocks IL-17A-induced GRO or KC secretion in cell-based assays. In an in vivo mouse pharmcodynamic model, ixekizumab blocks human IL-17A-induced mouse KC secretion. These data provide a comprehensive preclinical characterization of ixekizumab, for which the efficacy and safety have been demonstrated in human clinical trials in psoriasis and psoriatic arthritis.
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                Author and article information

                Contributors
                Journal
                JID Innov
                JID Innov
                JID Innovations
                Elsevier
                2667-0267
                20 January 2024
                March 2024
                20 January 2024
                : 4
                : 2
                : 100261
                Affiliations
                [1 ]MD-PhD Program, Yale School of Medicine, New Haven, Connecticut, USA
                [2 ]Department of Dermatology, University of Connecticut Health Center, Farmington, Connecticut, USA
                [3 ]Italian Center of Precision Medicine and Chronic Inflammation, Milan, Italy
                [4 ]Department of Biomedical, Surgical, and Dental Sciences, University of Milan, Milan, Italy
                [5 ]Graduate Program (PhD) in Pharmacological Sciences, Department of Pharmaceutical and Pharmacological Sciences, University of Padua, Padua, Italy
                [6 ]Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA
                [7 ]Program in Translational Biomedicine, Yale School of Medicine, New Haven, Connecticut, USA
                Author notes
                []Correspondence: Christopher G. Bunick, Department of Dermatology, Yale School of Medicine, 333 Cedar Street, LCI 501, PO Box 208059, New Haven, Connecticut 06520-8059, USA. christopher.bunick@ 123456yale.edu
                [8]

                These authors contributed equally to this work.

                Article
                S2667-0267(24)00007-9 100261
                10.1016/j.xjidi.2024.100261
                10914523
                38445231
                20844ede-d0a1-461c-8ec5-57ce93a926ce
                © 2024 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 9 August 2023
                : 6 December 2023
                : 19 December 2023
                Categories
                Original Article

                inflammatory skin disease epitope,risankizumab,guselkumab,tildrakizumab,ustekinumab

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