Project description:BackgroundWhen multiple treatments are available, network meta-analysis can synthesize evidence and rank their relative profile in terms of effectiveness and/or safety. We applied this approach to the safety of subcutaneous biologicals used in the treatment of moderate to severe psoriasis.MethodsOur literature search covered the articles published from January 2000 to September 2014 and was restricted to randomized controlled trials. The agents eligible for our analysis were subcutaneous biological drugs used in patients with moderate to severe psoriasis. A network meta-analysis was conducted using the Bayesian model. The analysis was aimed to compare the safety of these treatments based on 95 % credible intervals and to consequently generate a ranking in safety across the treatments. Two safety end-points were considered: any serious adverse events (AE) and any infectious AE. Risk difference was the outcome measure. The analysis estimated 95 % credible intervals for all direct and indirect comparisons as well as the ranking histogram across the treatments which was determined according to model-based probabilistic analysis.ResultsOur literature search selected a total of 13 randomized controlled trials of which three evaluated adalimumab, five ustekinumab (45 and 90 mg), four etanercept (both high-dose and low-dose) and one high-dose etanercept and ustekinumab (45 and 90 mg). For both end-points of any serious AE and any infectious AE, the Bayesian analysis showed no significant difference in all indirect head-to-head comparisons between active agents. For the end-point of any serious AE, the ranking was ustekinumab 45 mg and ustekinumab 90 mg (at the same rank), followed by placebo and by adalimumab and high-dose etanercept (at the same rank). For any infectious AE, the ranking was: low-dose etanercept, placebo, ustekinumab 45 mg and ustekinumab 90 mg, adalimumab and high-dose etanercept.ConclusionOur analysis synthesized the current evidence on the safety of subcutaneous biological treatments for patients with moderate to severe psoriasis and was successful in defining their respective rankings.
Project description:This open-label, multicenter, phase I therapeutic protein-drug interaction study was designed to evaluate the potential effect of guselkumab, a fully human anti-interleukin-23 immunoglobulin G1 lambda monoclonal antibody, on the pharmacokinetics of a cocktail of representative cytochrome P450 (CYP) probe substrates (midazolam (CYP3A4), S-warfarin (CYP2C9), omeprazole (CYP2C19), dextromethorphan (CYP2D6), and caffeine (CYP1A2)). Fourteen participants with psoriasis received a single subcutaneous dose of guselkumab 200 mg on day 8 and an oral probe cocktail on days 1, 15, and 36. Blood samples were collected for measuring plasma concentrations of these probe substrates on days 1, 15, and 36. No consistent trends in observed maximum plasma concentration and area under the curve from time 0 to infinity values of each probe CYP-substrate before (day 1) and after guselkumab treatment (days 15 and 36) could be identified in each individual patient, suggesting that the use of guselkumab in patients with psoriasis is unlikely to influence the systemic exposure of drugs metabolized by CYP isozymes (CYP3A4, CYP2C9, CYP2C19, CYP2D6, and CYP1A2). The probe cocktail was generally well-tolerated when administered in combination with guselkumab in patients with psoriasis. Clinicaltrials.gov Identifiers: NCT02397382.
Project description:Objectives: To asses skin clearance and patient-reported outcomes for ixekizumab treatment. Methods: IXORA-R enrolled adults with moderate-to-severe plaque psoriasis, defined as static Physician’s Global Assessment ≥ 3, PASI ≥ 12 and involved body surface area ≥ 10%. The trial was registered with ClinicalTrials.gov (NCT03573323).
Project description:BI 730357 is investigated as an oral treatment of plaque psoriasis. We analyzed the impact of three dosage regimens on the Psoriasis Area and Severity Index (PASI) response with modeling based on phase I and II data from 109 healthy subjects and 274 patients with moderate-to-severe plaque psoriasis. The pharmacokinetics (PK) was characterized by a two-compartment model with dual absorption paths and a first-order elimination. Higher baseline C-reactive protein was associated with lower clearance and patients generally had lower clearance compared with healthy subjects. A bounded integer PK/pharmacodynamic model characterized the effect on the observed PASI. The maximum drug effect was largest for patients with no prior biologic use, smaller for patients with prior use of non-interleukin-17 inhibitors, and smallest for patients with prior interleukin-17 inhibitor use. The models allowed robust simulation of large patient populations, predicting a plateau in PASI outcomes for BI 730357 exposure above 2000 nmol/L.
Project description:Psoriasis is a common disease, which has a considerable impact on patients and the health care system. Treatment approaches to the disease may be various because some issues are not definitely addressed. Moreover, the therapeutic paradigms are continuously changing because of the recent approval of new treatments for psoriasis such as interleukin (IL)-17 inhibitors and apremilast. In this review, the factors influencing psoriasis severity, the indications for systemic treatments, the overall parameters to be considered in the treatment choice, life style interventions, and the recommendations for the use, screening, and monitoring of systemic therapies available including acitretin, cyclosporine, methotrexate, apremilast, adalimumab, etanercept, infliximab, secukinumab, ixekizumab, and ustekinumab are discussed. Finally, treatment approaches in special patient populations including children, the elderly, pregnant women, patients with a history of neoplasm, and candidates for surgical procedures are reported.
Project description:Background Biological agents used to treat moderate-to-severe plaque psoriasis have been associated with Candida infection and other serious infections. It is, however, necessary to verify whether biologic agents increase the risk of Candida infection and serious infections and whether these risks vary among biologics. Methods PubMed, EMBASE, and Cochrane Library were searched for eligible randomized controlled trials (RCTs) from their inception to December 2021. Results from individual RCT were pooled using Peto's method with a fixed-effects model, and I2 was calculated to assess the heterogeneity. A Cochrane collaboration tool was used to examine bias risk, and Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) were used to assess the quality of evidence. Results This study included 48 published articles with data from 52 RCTs involving 27297 participants. The anti-interleukin (IL)-17 agents (95% confidence interval (CI) = 1.54–3.45, P < 0.0001) and anti-IL-12/23 agents (95% CI = 1.69–3.83, P < 0.0001) were associated with an increased risk of Candida infection compared with placebos, but there was no difference in Candida infection risk between anti-IL-17 agents and tumor necrosis factor inhibitors (TNFi) (95% CI = 0.92–3.07, P=0.09). There was no evidence that the biological agents increased the risk of serious infections in adult psoriasis (95% CI = 0.93–2.06, P=0.11) or that the biologics differed in the risk of serious infections. Conclusions Our results indicated that anti-IL-17 agents, especially secukinumab, were associated with the increased risk of Candida infection. The clinically used biological agents did not increase the risk of serious infections.
Project description:Biological therapies (BTs) indicated for psoriasis are highly effective; however, not all patients obtain good results, and loss of effectiveness is the main reason for switching. Genetic factors may be involved. The objective of this study was to evaluate the influence of single-nucleotide polymorphisms (SNPs) on the drug survival of tumor necrosis factor inhibitors (anti-TNF) medications and ustekinumab (UTK) in patients diagnosed with moderate-to-severe psoriasis. We conducted an ambispective observational cohort study that included 379 lines of treatment with anti-TNF (n = 247) and UTK (132) in 206 white patients from southern Spain and Italy. The genotyping of the 29 functional SNPs was carried out using real-time polymerase chain reaction (PCR) with TaqMan probes. Drug survival was evaluated with Cox regression and Kaplan-Meier curves. The multivariate analysis showed that the HLA-C rs12191877-T (hazard ratio [HR] = 0.560; 95% CI = 0.40-0.78; p = 0.0006) and TNF-1031 (rs1799964-C) (HR = 0.707; 95% CI = 0.50-0.99; p = 0.048) polymorphisms are associated with anti-TNF drug survival, while TLR5 rs5744174-G (HR = 0.589; 95% CI = 0.37-0.92; p = 0.02), CD84 rs6427528-GG (HR = 0.557; 95% CI = 0.35-0.88; p = 0.013) and PDE3A rs11045392-T together with SLCO1C1 rs3794271-T (HR = 0.508; 95% CI = 0.32-0.79; p = 0.002) are related to UTK survival. The limitations are the sample size and the clustering of anti-TNF drugs; we used a homogeneous cohort of patients from 2 hospitals only. In conclusion, SNPs in the HLA-C, TNF, TLR5, CD84, PDE3A, and SLCO1C1 genes may be useful as biomarkers of drug survival of BTs indicated for psoriasis, making it possible to implement personalized medicine that will reduce financial healthcare costs, facilitate medical decision-making and improve patient quality of life. However, further pharmacogenetic studies need to be conducted to confirm these associations.
Project description:These guidelines were developed by the psoriasis research group of the French Society of Dermatology with the aim of providing updated decision-making algorithms for the systemic treatment of adult patients with moderate-to-severe psoriasis. Our algorithms were generated after rigorous evaluation of existing guidelines on the treatment of psoriasis and of publications concerning new systemic treatments, not yet incorporated into existing guidelines. A total of nine existing guidelines and 53 publications related to new systemic treatments were found to meet our criteria for use in the generation of the algorithms. We have proposed two new algorithms to assess therapeutic responses, both of which incorporate emerging criteria for evaluating treatment goals. Updated therapeutic strategy algorithms, incorporating both established and new systemic therapies, were also generated for the treatment of plaque psoriasis and psoriatic arthritis, together with recommendations for the treatment of particular forms of psoriasis and treatment of patients with comorbidities.
Project description:One of the target drugs for plaque psoriasis treatment is apremilast, which is a selective phosphodiesterase 4 (PDE4) inhibitor. In this study, 34 moderate-to-severe and severe plaque psoriasis patients from Russia were treated with apremilast for 26 weeks. This allowed us to observe the effectiveness of splitting patient cohorts based on clinical outcomes, which were assessed using the Psoriasis Area Severity Index (PASI). In total, 14 patients (41%) indicated having an advanced outcome with delta PASI 75 after treatment; 20 patients indicated having moderate or no effects. Genome variability was investigated using the Illumina Infinium Global Screening Array. Genome-wide analysis revealed apremilast therapy clinical outcome associations at three compact genome regions with undefined functions situated on chromosomes 2, 4, and 5, as well as on a single single-nucleotide polymorphism (SNP) on chromosome 23. Pre-selected SNP sets were associated with psoriasis vulgaris analysis, which was used to identify four SNP-associated targeted therapy efficiencies: IL1β (rs1143633), IL4 (IL13) (rs20541), IL23R (rs2201841), and TNFα (rs1800629) genes. Moreover, we showed that the use of the global polygenic risk score allowed for the prediction of onset psoriasis in Russians. Therefore, these results can serve as a starting point for creating a predictive model of apremilast therapy response in the targeted therapy of patients with psoriasis vulgaris.
Project description:A gene expression profiling sub-study was conducted in which skin biopsy samples were collected from 85 patients with moderate-to-severe psoriasis who were participating in ACCEPT, an IRB-approved Phase 3, multicenter, randomized trial. This analysis identified 4,175 probe-sets as being significantly modulated in psoriasis lesions (LS) compared with matched biopsies of non-lesional (NL) skin.