Project description:Background and objectives: Psoriasis is a chronic immune-mediated skin disease caused by several complex factors, both environmental and genetic, many of which are still not fully understood. Nowadays, several groups of biological drugs are being used for psoriasis treatment. Although these therapies are very effective, they show significant variability in efficacy among individuals. Therefore, there is a need for biomarkers to predict treatment outcomes in order to guide personalized therapeutic decisions. Pharmacogenetics is the study of variations in DNA sequences related to drug response. Materials and Methods: In this article, we review pharmacogenetics studies on the treatment of moderate-to-severe psoriasis focusing on anti-interleukin (IL) 12/23 (ustekinumab) and anti-IL17 drugs (secukinumab and ixekizumab), as well as recent studies concerning anti-TNF drugs. Results: Several polymorphisms have been studied over the years in reference to anti-TNF drugs; some of the most recent studies included the performance of a genome-wide association study (GWAS) and pharmacogenetics studies focused on the optimization of a treatment regimen. Various polymorphisms in different genes have been related to ustekinumab response; among them, the most commonly studied is the HLA-C*06:02 allele. Conclusions: Although not confirmed in some studies, most studies have shown that patients carrying this allele present a significantly higher response rate to ustekinumab. Some polymorphisms have been studied in patients treated with anti-IL17 drugs, mostly related to secukinumab; however, up to now, no association has been found between any of these polymorphisms and response. Nevertheless, further studies involving larger cohorts are needed in order to confirm these results before the implementation of this biomarker in clinical practice.
Project description:IntroductionNumber needed to treat (NNT) estimates are a practical metric to help identify the most effective therapies. Our objective is to compare 11 biologic drugs for moderate-to-severe psoriasis in terms of NNT.MethodsThe NNT data were obtained from a Bayesian network meta-analysis of 42 double-blind, randomized, phase 3 clinical trials for 11 biologics (adalimumab, brodalumab, certolizumab pegol, etanercept, guselkumab, infliximab, ixekizumab, risankizumab, secukinumab, tildrakizumab, and ustekinumab). We determined NNT to achieve Psoriasis Area and Severity Index (PASI) 75/90/100 responses at weeks 4, 8, 12, 16, and 48/52 and Dermatology Life Quality Index (DLQI) response 0, 1 at week 12.ResultsHighest efficacy (lowest NNT) was with brodalumab and ixekizumab for PASI 90 at weeks 4, 8, and 12; ixekizumab for PASI 90/100 at week 16; and brodalumab for PASI 100 at week 12. After 48/52 weeks, risankizumab had the highest efficacy for PASI 90/100 overlapping with guselkumab, brodalumab, and ixekizumab for PASI 90 and with brodalumab and ixekizumab for PASI 100. Ixekizumab had the highest efficacy for DLQI (0,1) at week 12.ConclusionsBrodalumab and ixekizumab had the lowest NNTs for achieving PASI responses at early time points and were not significantly different than risankizumab and guselkumab after 48/52 weeks.
Project description:As biologic therapies become first line treatments for many inflammatory disorders, it becomes increasingly important for the practicing physician to be familiar with how these drugs function at the molecular level. This information is useful in making therapeutic decisions and helping patients understand their treatment options. It is critical to patient safety and clinical response that the molecular differences between these drugs inform prescribing practices. To this end, we present and analyze the available structural biology information about the biologics used in the treatment of psoriasis including inhibitors of tumor necrosis factor alpha (TNF?), interleukin-17 (IL-17), and interleukin-23 (IL-23). We describe and analyze the molecular surface character of known binding epitopes for medications in these classes, showing that significant differences exist in epitope location, hydrophobicity, and charge. Some of these differences can be correlated with clinical data, but our analysis ultimately points to the need for more structural information to allow for a better understanding of the structure-function relationship of biologic therapies.
Project description:IntroductionBiologic agents are used in patients with severe psoriasis who have not adequately responded to existing conventional systemic therapies. However, only a limited number of medical institutions in Japan are approved to use them, and their relatively high cost represents a substantial burden to patients. Apremilast is an oral phosphodiesterase-4 inhibitor approved in Japan for the treatment of psoriasis vulgaris in adult patients with an inadequate response to topical therapies and psoriatic arthritis in adult patients with active disease. To date, a large-scale real-world study of treatment patterns and costs associated with apremilast in Japan has not been conducted. The objective of this study was to assess whether apremilast can prolong time to first biologic therapy use and decrease total medical cost.MethodsUsing the Medical Data Vision hospital-based claims database, 506 psoriasis patients were propensity score matched and analyzed (apremilast: n = 253; non-apremilast: n = 253).ResultsThe incidence rate of first biologic therapy use per 1000 patient-years was significantly lower in the apremilast group than in the non-apremilast group (30.3 vs. 107.6; P < 0.001), and the total medical costs per month were significantly lower in the apremilast group than in the non-apremilast group (76,594 yen/month vs. 102,411 yen/month, P < 0.001). In a sensitivity analysis of a propensity-score-matched subset of eligible patients prescribed biologics during the follow-up period (apremilast: n = 14; non-apremilast: n = 14), the incidence of first biologic therapy use was 2,797.6 per 1000 patient-years (95% CI: 1,656.9, 4,723.6) in the non-apremilast group and 856.1 per 1000 patient-years (95% CI: 507.0, 1,445.5) in the apremilast group.ConclusionThese results suggest that apremilast prolongs the time to first biologic therapy use in patients with psoriasis, thereby reducing the total medical cost and decreasing the economic burden on patients.
Project description:Biologic therapies have shown high efficacy in psoriasis, but individual response varies and is poorly understood. To inform biomarker discovery in the Psoriasis Stratification to Optimise Relevant Therapy (i.e., PSORT) study, we evaluated a comprehensive array of omics platforms across three time points and multiple tissues in a pilot investigation of 10 patients with severe psoriasis, treated with the tumor necrosis factor (TNF) inhibitor, etanercept. We used RNA sequencing to analyze mRNA and small RNA transcriptome in blood, lesional and nonlesional skin, and the SOMAscan platform to investigate the serum proteome. Using an integrative systems biology approach, we identified signals of treatment response in genes and pathways associated with TNF signaling, psoriasis pathology, and the major histocompatibility complex region. We found association between clinical response and TNF-regulated genes in blood and skin. Using a combination of differential expression testing, upstream regulator analysis, clustering techniques, and predictive modeling, we show that baseline samples are indicative of patient response to biologic therapies, including signals in blood, which have traditionally been considered unreliable for inference in dermatology. In conclusion, our pilot study provides both an analytical framework and empirical basis to estimate power for larger studies, specifically the ongoing PSORT study, which we show as powered for biomarker discovery and patient stratification.
Project description:Biologic therapies are increasingly used to treat chronic inflammatory skin diseases such as psoriasis and atopic dermatitis. In clinical practice, scores based on evaluation of objective and subjective symptoms are used to assess disease severity, leading to evaluation of treatment goals with clinical decisions on treatment initiation, switch to another treatment modality or to discontinue current treatment. However, this visual-based scoring is relatively subjective and inaccurate due to inter- and intraobserver reliability. Optical coherence tomography (OCT) is a fast, high-resolution, in vivo imaging modality that enables the visualization of skin structure and vasculature. We evaluated the use of OCT for quantification and monitoring of skin inflammation to improve objective assessment of disease activity in patients with psoriasis and atopic dermatitis. We assessed the following imaging parameters including epidermal thickness, vascular density, plexus depth, vessel diameter, and vessel count. A total of four patients with psoriasis or atopic dermatitis were treated with biologic agents according to current treatment guidelines. OCT was used to monitor their individual treatment response in a target lesion representing disease activity for 52 weeks. Psoriatic and eczema lesions exhibited higher epidermal thickness, increased vascular density, and higher vessel count compared to uninvolved skin. An upward shift of the superficial vascular plexus accompanied by smaller vessel diameters was seen in psoriasis in contrast to atopic dermatitis, where larger vessels were observed. A response to biologic therapy was characterized by normalization of the imaging parameters in the target lesions in comparison to uninvolved skin during the observation period of 52 weeks. Optical coherence tomography potentially serves as an instrument to monitor biologic therapy in inflammatory skin diseases. Imaging parameters may enable objective quantification of inflammation in psoriasis or atopic dermatitis in selected representative skin areas. OCT may reveal persistent subclinical inflammation in atopic dermatitis beyond clinical remission.
Project description:ObjectivesWhile off-label dosing of biologic treatments may be necessary in selected psoriasis patients, no systematic review exists to date that synthesizes the efficacy and safety of these off-label dosing regimens. The aim of this systematic review is to evaluate efficacy and safety of off-label dosing regimens (dose escalation, dose reduction, and interrupted treatment) with etanercept, adalimumab, infliximab, ustekinumab, and alefacept for psoriasis treatment.Data sources and study selectionWe searched OVID Medline from January 1, 1990 through August 1, 2011 for prospective clinical trials that studied biologic therapy for psoriasis treatment in adults. Individual articles were screened for studies that examined escalated, reduced, or interrupted therapy with etanercept, adalimumab, infliximab, ustekinumab, or alefacept.Data synthesisA total of 23 articles with 12,617 patients matched the inclusion and exclusion criteria for the systematic review. Data were examined for primary and secondary efficacy outcomes and adverse events including infections, malignancies, cardiovascular events, and anti-drug antibodies. The preponderance of data suggests that continuous treatment with anti-TNF agents and anti-IL12/23 agent was necessary for maintenance of disease control. Among non-responders, dose escalation with etanercept, adalimumab, ustekinumab, and alefacept typically resulted in greater efficacy than standard dosing. Dose reduction with etanercept and alefacept resulted in reduced efficacy. Withdrawal of the examined biologics led to an increase in disease activity; efficacy from retreatment did not result in equivalent initial response rates for most biologics. Safety data on off-label dosing regimens are limited.ConclusionDose escalation in non-responders generally resulted in increased efficacy in the examined biologics used to treat moderate-to-severe psoriasis. Continuous treatment with anti-TNF agents and anti-IL12/23 agent results in superior efficacy over interrupted therapy. The decision to use off-label dosing needs to account for both benefits and risks and be individualized to patients' disease severity, quality of life, and existence of comorbidities.
Project description:IntroductionDue to variable psoriasis symptoms, disease progression, and individual responses to therapy, patients may start, stop, or switch biologic therapies. Real-world data on the associated disease burden of patients with psoriasis who do and do not switch biologics are incomplete.MethodsThis study compared disease burden among patients from the CorEvitas Psoriasis Registry (July 2017-December 2021) who switched biologics and those who did not within 4-12 months following initiation. Disease-related patient-reported outcomes (PROs) were recorded, including skin pain, itching, activity impairment, and effects on health-related quality of life (HRQoL). Disease severity was measured by body surface area (BSA) and Psoriasis Area and Severity Index (PASI). Unadjusted and adjusted regression models were used to compare study outcome measures between the two groups.ResultsThis study included 2145 patients, with 159 classified as switchers and 1986 as non-switchers. The most common reason for switching therapy was failure to maintain initial response (51.7%; n = 78). Moderate-to-severe disease (BSA ≥ 3) was found among 83.0% (n = 132) of switchers versus 26.1% (n = 516) of non-switchers. PASI > 5 was reported among 49.7% (n = 79) of switchers versus 8.6% (n = 171) of non-switchers. Differences in skin pain, itching, and effects on HRQoL between switchers and non-switchers were larger in magnitude for bio-experienced patients.ConclusionsPatients who switched biologic therapy experienced a greater disease burden of psoriasis across PROs than non-switchers. Patient-centered factors may be important drivers of biologic switching. Our findings suggest the association between switching and disease burden may be stronger among patients with prior biologic therapy experience.
Project description:Multiple biologic treatments are licensed for psoriasis. The lack of head-to-head randomized controlled trials makes choosing between them difficult for patients, clinicians, and guideline developers. To establish their relative efficacy and tolerability, we searched MEDLINE, PubMed, Embase, and Cochrane for randomized controlled trials of licensed biologic treatments for skin psoriasis. We performed a network meta-analysis to identify direct and indirect evidence comparing biologics with one another, methotrexate, or placebo. We combined this with hierarchical cluster analysis to consider multiple outcomes related to efficacy and tolerability in combination for each treatment. Study quality, heterogeneity, and inconsistency were evaluated. Direct comparisons from 41 randomized controlled trials (20,561 participants) were included. All included biologics were efficacious compared with placebo or methotrexate at 3-4 months. Overall, cluster analysis showed adalimumab, secukinumab, and ustekinumab were comparable in terms of high efficacy and tolerability. Ixekizumab and infliximab were differentiated by very high efficacy but poorer tolerability. The lack of longer term controlled data limited our analysis to short-term outcomes. Trial performance may not equate to real-world performance, and so results need to be considered alongside real-world, long-term safety and effectiveness data. These data suggest that it is possible to discriminate between biologics to inform clinical practice and decision making (PROSPERO 2015:CRD42015017538).
Project description:In contrast to traditional pharmacodynamic approaches to treat substance-use disorders (SUDs), the use of biologics (vaccines, monoclonal antibodies, and genetically modified enzymes) is based on a pharmacokinetic principle: reduce the amount of (and, ideally, eliminate) abused drug entering the central nervous system (CNS). Preclinical studies indicate that biologics are effective in both facilitating abstinence and preventing relapse to abused substances ranging from nicotine to heroin. While data are still emerging, the results from multiple clinical trials can best be described as mixed. Nonetheless, these clinical studies have already provided important insights using 'first-generation' tools that may inform the development of effective and commercially viable biologics to treat tobacco-, cocaine-, and methamphetamine-use disorders.