Dataset Information

From desk to bed: computational simulations provide indication for rheumatoid arthritis clinical trials.

ABSTRACT:

Background

Rheumatoid arthritis (RA) is among the most common human systemic autoimmune diseases, affecting approximately 1% of the population worldwide. To date, there is no cure for the disease and current treatments show undesirable side effects. As the disease affects a growing number of individuals, and during their working age, the gathering of all information able to improve therapies--by understanding their and the disease mechanisms of action--represents an important area of research, benefiting not only patients but also societies. In this direction, network analysis methods have been used in previous work to further our understanding of this complex disease, leading to the identification of CRKL as a potential drug target for treatment of RA. Here, we use computational methods to expand on this work, testing the hypothesis in silico.

Results

Analysis of the CRKL network--available at http://www.picb.ac.cn/ClinicalGenomicNTW/software.html--allows for investigation of the potential effect of perturbing genes of interest. Within the group of genes that are significantly affected by simulated perturbation of CRKL, we are lead to further investigate the importance of PXN. Our results allow us to (1) refine the hypothesis on CRKL as a novel drug target (2) indicate potential causes of side effects in on-going trials and (3) importantly, provide recommendations with impact on on-going clinical studies.

Conclusions

Based on a virtual network that collects and connects a large number of the molecules known to be involved in a disease, one can simulate the effects of controlling molecules, allowing for the observation of how this affects the rest of the network. This is important to mimic the effect of a drug, but also to be aware of -and possibly control- its side effects. Using this approach in RA research we have been able to contribute to the field by suggesting molecules to be targeted in new therapies and more importantly, to warrant efficacy, to hypothesise novel recommendations on existing drugs currently under test.

SUBMITTER: Dent JE

PROVIDER: S-EPMC3653749 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

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From desk to bed: computational simulations provide indication for rheumatoid arthritis clinical trials.

Dent Jennifer E JE Nardini Christine C

BMC systems biology 20130122

<h4>Background</h4>Rheumatoid arthritis (RA) is among the most common human systemic autoimmune diseases, affecting approximately 1% of the population worldwide. To date, there is no cure for the disease and current treatments show undesirable side effects. As the disease affects a growing number of individuals, and during their working age, the gathering of all information able to improve therapies--by understanding their and the disease mechanisms of action--represents an important area of res ...[more]

PMID: 23339423

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Project description:BACKGROUND:Reactivation of hepatitis B virus (HBV) replication is a well-recognised complication in patients receiving disease-modifying anti-rheumatic drugs (DMARDs) for rheumatoid arthritis (RA). Limited data exist on HBV reactivation among patients with RA treated with janus kinase (JAK) inhibitors. The objective of the current study was to assess HBV reactivation in clinical trials of baricitinib, an oral selective JAK1 and JAK2 inhibitor in RA. METHODS:Data were integrated from four completed Phase 3 trials and one ongoing long-term extension (data up to 1 April 2017) in patients naïve to DMARDs or who had inadequate response (IR) to DMARDs including methotrexate (MTX)-IR and/or other conventional synthetic DMARD (csDMARD)-IR, or tumour necrosis factor inhibitors-IR. Within the clinical programme, baricitinib-treated patients may have received concomitant csDMARDs including MTX, or previous treatment with active comparators including MTX or adalimumab + MTX. At screening, all patients were tested for HBV surface antigen (HBsAg), core antibody (HBcAb) and surface antibody (HBsAb). Patients were excluded if they had (1) HBsAg+, (2) HBcAb+/HBsAb- (in Japan, could enrol if HBV DNA-) or (3) HBsAb+ and?HBV DNA+. HBV DNA monitoring, following randomisation in the originating Phase 3 studies, was performed in Japan for patients with HBcAb+ and/or HBsAb+ at screening, and was later instituted globally for HBcAb+ patients in accordance with evolving guidance for HBV monitoring and management with immunomodulatory therapy. RESULTS:In total, 2890 patients received at least one dose of baricitinib in Phase 3 (6993 patient-years exposure). Of 215 patients with baseline serology suggestive of prior HBV infection (HbcAb+) who received a post-baseline DNA test, 32 (14.9%) were HBV DNA+ at?some point following treatment initiation; 8 of 215 patients (3.7%) had a single quantifiable result (?29?IU/mL). Of these eight patients, four met the definition of reactivation of HBV (HBV DNA level ?100?IU/mL); baricitinib was permanently discontinued in four patients, and temporarily interrupted in two patients. No patient developed clinical evidence of hepatitis and in five of eight patients, antiviral therapy was not used. CONCLUSION:HBV reactivation can occur among RA patients treated with DMARDs, including baricitinib, with prior HBV exposure. Our data suggest that such patients should be monitored for HBV DNA during treatment and might be treated safely with the use of antiviral therapy as needed. The risk of HBV reactivation in patients with HBsAg treated with baricitinib is unknown.

Project description:Importance:Racial/ethnic minority groups, women, and elderly people experience a disproportionate burden of disease in rheumatoid arthritis (RA), making it particularly important to examine drug therapies in these populations. Despite a national health agenda to improve representation of diverse populations in randomized clinical trials (RCTs), there have been few large-scale analyses examining RCT demographic characteristics within rheumatology and none focusing on RA. Objective:To characterize the representation of racial/ethnic minority groups, women, and elderly people through a comprehensive systematic review of RA RCTs. Data Sources:A literature search of PubMed's MEDLINE database was conducted to identify RA RCTs in adults 19 years and older published in English between January 1, 2008, and January 1, 2018. Study Selection:Randomized double-blind RCTs examining any systemic, disease-modifying therapy were included. Secondary analyses of previously published RCTs were excluded. Of 1195 identified records, 240 articles (20.1%) met final selection criteria. The analysis focused on RCTs with at least 1 US-based site. Data Extraction and Synthesis:Data were extracted and synthesized according to the PRISMA guidelines for systematic reviews. Studies were screened for eligibility criteria. Demographic data on the age, sex, and race/ethnicity of RCT participants were extracted. Data analysis was conducted from October 25, 2018, to March 15, 2019. Main Outcomes and Measures:Representation of race/ethnicity and sex, defined as the proportion of total participants that belonged to each racial/ethnic group or sex. Trends in proportions over time were examined and compared with US demographic data. Results:A total of 240 RCTs with 77?071 participants were included. Of 126 RCTs with at least 1 US-based site (52.5%), the enrollment of minority racial/ethnic groups was significantly lower than their representation within the US Census population (16% vs 40%; P?<?.001), and the enrollment of men was significantly lower than the incidence of RA in men nationally (20.4% vs 28.6%; P?<?.001). There was no trend toward improved representation of racial/ethnic minority groups or men over time. Conclusions and Relevance:Given the disproportionate burden of RA among racial/ethnic minority groups, it is imperative that policy makers better incentivize the inclusion of racial/ethnic minority groups in RA RCTs.

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Project description:IntroductionThis article aims to describe malignancies in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), or non-radiographic axial spondyloarthritis (nr-axSpA) treated with upadacitinib (UPA) or active comparators.MethodsThis integrated safety analysis includes data from 11 phase 3 UPA trials across RA (6 trials), PsA (2 trials), AS (2 trials; one phase 2b/3), and nr-axSpA (1 trial). Treatment-emergent adverse events (TEAEs) were summarized for RA (pooled UPA 15 mg [UPA15], pooled UPA 30 mg [UPA30], adalimumab 40 mg [ADA], methotrexate monotherapy [MTX]), PsA (pooled UPA15, pooled UPA30, ADA), AS (pooled UPA15), and nr-axSpA (UPA15). TEAEs were reported as exposure-adjusted event rates (events/100 patient-years).ResultsMedian treatment duration ranged from 1.0 to 4.0 years (with a maximum of 6.6 years in RA). Across treatments and indications, rates of malignancy excluding nonmelanoma skin cancer (NMSC) ranged from 0.2 to 1.1, while NMSC ranged from 0.0 to 1.4. In RA, rates of malignancy excluding NMSC were generally similar between UPA15, UPA30, ADA, and MTX (breast and lung cancer were the most common). In RA and PsA, Kaplan-Meier analyses revealed no differences in event onset of malignancy excluding NMSC with UPA15 versus UPA30 over time. In RA, NMSC rates were higher with UPA30 than UPA15; both UPA15 and UPA30 were higher than ADA and MTX. In PsA, rates of malignancy excluding NMSC and NMSC were generally similar between UPA15, UPA30, and ADA. In AS and nr-axSpA, malignancies were reported infrequently. Few events of lymphoma were reported across the clinical programs.ConclusionRates of malignancy excluding NMSC were generally similar between UPA15, UPA30, ADA, and MTX and were consistent across RA, PsA, AS, and nr-axSpA. A dose-dependent increased rate of NMSC was observed with UPA in RA.Trial registrationClinicaTrials.gov identifier: NCT02706873, NCT02675426, NCT02629159, NCT02706951, NCT02706847, NCT03086343, NCT03104400, NCT03104374, NCT03178487, and NCT04169373.

Project description:Foot orthoses are prescribed to reduce forefoot plantar pressures and pain in people with rheumatoid arthritis. Computational modelling can assess how the orthoses affect internal tissue stresses, but previous studies have focused on a single healthy individual. This study aimed to ascertain whether simplified forefoot models would produce differing biomechanical predictions at the orthotic interface between people with rheumatoid arthritis of varying severity, and in comparison to a healthy control. The forefoot models were developed from magnetic resonance data of 13 participants with rheumatoid arthritis and one healthy individual. Measurements of bony morphology and soft tissue thickness were taken to assess deformity. These were compared to model predictions (99th% shear strain and plantar pressure, max. pressure gradient, volume of soft tissue over 10% shear strain), alongside clinical data including body mass index and Leeds Foot Impact Scale-Impairment/Footwear score (LFIS-IF). The predicted pressure and shear strain for the healthy participant fell at the lower end of the rheumatoid models' range. Medial first metatarsal head curvature moderately correlated to all model predicted outcomes (0.529 < r < 0.574, 0.040 < p < 0.063). BMI strongly correlated to all model predictions except pressure gradients (0.600 < r < 0.652, p < 0.05). There were no apparent relationships between model predictions and instances of bursae, erosion and synovial hypertrophy or LFIS-IF score. The forefoot models produced differing biomechanical predictions between a healthy individual and participants with rheumatoid arthritis, and between individuals with rheumatoid arthritis. Models capable of predicting subject specific biomechanical orthotic interactions could be used in the future to inform more personalised devices to protect skin and soft tissue health. While the model results did not clearly correlate with all clinical measures, there was a wide range in model predictions and morphological measures across the participants. Thus, the need for assessment of foot orthoses across a population, rather than for one individual, is clear.

Dataset Information

From desk to bed: computational simulations provide indication for rheumatoid arthritis clinical trials.

Background

Results

Conclusions

Publications

From desk to bed: computational simulations provide indication for rheumatoid arthritis clinical trials.

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