Extracting immunological and clinical heterogeneity across autoimmune rheumatic diseases by cohort-wide immunophenotyping.

OBJECTIVE: Extracting immunological and clinical heterogeneity across autoimmune rheumatic diseases (AIRDs) is essential towards personalised medicine. METHODS: We conducted large-scale and cohort-wide immunophenotyping of 46 peripheral immune cells using Human Immunology Protocol of comprehensive 8-colour flow cytometric analysis. Dataset consisted of >1000 Japanese patients of 11 AIRDs with deep clinical information registered at the FLOW study, including rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). In-depth clinical and immunological characterisation was conducted for the identified RA patient clusters, including associations of inborn human genetics represented by Polygenic Risk Score (PRS). RESULTS: Multimodal clustering of immunophenotypes deciphered underlying disease-cell type network in immune cell, disease and patient cluster resolutions. This provided immune cell type specificity shared or distinct across AIRDs, such as close immunological network between mixed connective tissue disease and SLE. Individual patient-level clustering dissected patients with AIRD into several clusters with different immunological features. Of these, RA-like or SLE-like clusters were exclusively dominant, showing immunological differentiation between RA and SLE across AIRDs. In-depth clinical analysis of RA revealed that such patient clusters differentially defined clinical heterogeneity in disease activity and treatment responses, such as treatment resistance in patients with RA with SLE-like immunophenotypes. PRS based on RA case-control and within-case stratified genome-wide association studies were associated with clinical and immunological characteristics. This pointed immune cell type implicated in disease biology such as dendritic cells for RA-interstitial lung disease. CONCLUSION: Cohort-wide and cross-disease immunophenotyping elucidate clinically heterogeneous patient subtypes existing within single disease in immune cell type-specific manner.

Impact of interstitial lung disease on clinical remission and unfavourable events of rheumatoid arthritis: results from the IORRA cohort.

OBJECTIVES: We aimed to examine the impact of concomitant interstitial lung disease (ILD) on achieving clinical remission and the occurrence of unfavourable clinical events in patients with RA. METHODS: Among the participants in the Institute of Rheumatology, Rheumatoid Arthritis (IORRA) cohort from 2011 to 2012, patients not achieving remission of 28-joint disease activity score (DAS28) at baseline and those with chest CT images were enrolled. Based on the chest CT images, the patients were divided into two groups: the ILD group and non-ILD group. The associations among the presence of ILD with time to achieving DAS28 remission and development of death, hospitalized infection, major adverse cardiac events (MACE), or malignancy within 5 years were evaluated using time-dependent Cox regression models. RESULTS: We enrolled 287 patients in the ILD group and 1235 in the non-ILD group. DAS28 remission was achieved at least once in 55.7% and 75.0% of the ILD and non-ILD groups within 5 years, respectively. Presence of ILD was significantly associated with failure to achieve DAS28 remission (adjusted hazard ratio [aHR]: 0.71; 95% CI: 0.58, 0.89). ILD was also a significant factor associated with death (aHR: 3.24; 95% CI: 2.08, 5.03), hospitalized infection (aHR 2.60; 95% CI: 1.77, 3.83), MACE (aHR: 3.40; 95% CI: 1.76, 6.58), and lung cancer (aHR: 16.0; 95% CI: 3.22, 79.2), but not with malignant lymphoma (aHR: 2.27; 95% CI: 0.59, 8.81). CONCLUSION: Concomitant ILD was a significant factor associated with failure to achieve clinical remission and the occurrence of the unfavourable clinical events in patients with RA.

Development of a scoring model for the Sharp/van der Heijde score using convolutional neural networks and its clinical application.

OBJECTIVES: To construct a predictive model for the Sharp/van der Heijde score (SHS) and assess its applicability in clinical research settings. MATERIAL AND METHODS: A prediction model for SHS was constructed in three steps using convolutional neural networks (CNN) and an in-house RA image database: orientation, detection and damage prediction. A predictive model for radiographic progression (ΔSHS >3/year) was developed using a graph convolutional network (GCN). A multiple regression model was used to assess the association between predicted SHS using the CNN model and clinical features. RESULTS: In the orientation and detection phases, 100% accuracy was achieved in the image orientation correction, and all predicted joint coordinates were within 10 pixels of the correct coordinates. In the damage prediction phase, the κ values between the model and expert 1 were 0.879 and 0.865 for erosion and joint space narrowing, respectively. Using a dataset scored by experts 1 and 2, a minimal overfitting was determined to the scoring by expert 1. High-titre RF was an independent risk factor of ΔSHS per year, as predicted by the CNN model in biologics users. The AUCs of the GCN model for predicting ΔSHS >3/year in patients with and without biologics at baseline were 0.753 and 0.734, respectively, superior to those of the other models. The RF titre was the most important feature in predicting ΔSHS >3/year in biologics users in the GCN model. CONCLUSION: A high-performance scoring model for SHS that is applicable to clinical research was constructed.

Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis.

Rheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P < 5 × 10-8), of which 34 are novel. Candidate genes at the novel loci suggest essential roles of the immune system (for example, TNIP2 and TNFRSF11A) and joint tissues (for example, WISP1) in RA etiology. Multi-ancestry fine-mapping identified putatively causal variants with biological insights (for example, LEF1). Moreover, PRS based on multi-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between populations of European and East Asian ancestries. Our study provides several insights into the etiology of RA and improves the genetic predictability of RA.

Robot touch with speech boosts positive emotions.

A gentle touch is an essential part of human interaction that produces a positive care effect. Previously, robotics studies have shown that robots can reproduce a gentle touch that elicits similar, positive emotional responses in humans. However, whether the positive emotional effects of a robot's touch combined with speech can be enhanced using a multimodal approach remains unclear. This study supports the hypothesis that a multimodal interaction combining gentle touch and speech by a robot enhances positive emotional responses. Here, we conducted an experiment using a robotic arm to perform a gentle touch combined with speech and compared three conditions: touch alone, speech alone, and touch with speech. We assessed participants' subjective ratings of valence, arousal, and human likeliness using subjective emotional responses. Furthermore, we recorded facial electromyography (EMG) from the corrugator supercilii and zygomaticus major muscles and measured skin conductance levels (SCLs) as physiological emotional responses. Our results show that touch combined with speech elicited higher subjective valence and arousal ratings, stronger zygomaticus major EMG and SCL activities than touch alone. The results suggest that the positive emotional effects of robotic touch can be boosted by combining elements of speech.

Association of Polygenic Risk Scores With Radiographic Progression in Patients With Rheumatoid Arthritis.

OBJECTIVE: To investigate whether polygenic risk scores obtained using data from a genome-wide association study (GWAS) of rheumatoid arthritis (RA) susceptibility can be predictors of radiographic progression. METHODS: We constructed polygenic risk scores using GWAS summary data on associations of single-nucleotide polymorphisms with RA susceptibility. The polygenic risk scores were stratified into quintiles based on levels of significance (ranging from top quintile of polygenic risk scores to bottom quintile). In addition, change in the Sharp/van der Heijde score (SHS) of radiographic progression over the first 5 years after onset of RA was assessed. The change in SHS over 5 years was stratified according to quartiles, with the top quartile of change in SHS defined as severe radiographic progression (score change of >35 points) and the remaining 3 quartiles defined as nonsevere radiographic progression. Polygenic risk scores were assessed for their ability to predict the SHS status over 5 years in a training set (n = 500 RA patients) for selection of the best model, and in a testing set (n = 740 RA patients) for validation of the data. We evaluated the performance of the polygenic risk score as a predictor of severe radiographic progression in univariable and multivariable analyses with inclusion of other factors. RESULTS: Polygenic risk scores constructed from 43,784 single-nucleotide polymorphisms significantly differed between patients who experienced severe radiographic progression and those with nonsevere radiographic progression in both the training set (P = 0.0064) and the testing set (P = 0.017). Patients with polygenic risk scores in the top quintile had a higher risk of severe progression compared to those with polygenic risk scores in the bottom quintile (odds ratio [OR] 1.90, P = 0.0022), and the risk of severe radiographic progression was even higher when restricted to patients who were younger at disease onset (OR 5.06, P = 0.00038). The group with polygenic risk scores in the top quintile and the anti-citrullinated protein antibody (ACPA)-positive group had significantly higher proportions of patients with severe radiographic progression (P = 0.00052 and P = 0.0022, respectively) compared to the remaining groups. Multivariable analysis showed that polygenic risk score (P = 0.00019) as well as female sex (P = 0.0033), ACPA positivity (P = 0.0023), and body mass index (P = 0.024) were independent risk factors for severe radiographic progression. CONCLUSION: A polygenic risk score that is derived from GWAS data on RA susceptibility is associated with the level of severity of radiographic progression in patients with RA.

Association of methotrexate use and lymphoproliferative disorder in patients with rheumatoid arthritis: Results from a Japanese multi-institutional retrospective study.

OBJECTIVES: To investigate the risk factors and clinical characteristics of lymphoproliferative disorder (LPD) in Japanese patients with rheumatoid arthritis (RA). METHODS: We enrolled patients with RA aged ≥20 years who visited the participating hospitals between April 2011 and July 2011. We investigated the risk factors for LPD using a Cox proportional hazard model and described pathological features and vital prognosis of LPD in patients with RA. RESULTS: We enrolled 9815 patients with the following characteristics at baseline: female 79.4%, median age 63 years; median disease duration 7 years; median DAS28-CRP (3) 3.1; prevalence of MTX use 60.0%. Sixty-eight patients (0.69%) developed LPD in 3-year observation period. Multivariable analysis showed that age by decade (hazard ratio [95% confidence interval], 1.47 [1.18-1.85]) and MTX use at baseline (2.35 [1.25-4.42] for ≤8 mg/week, 4.39 [2.07-9.32] for >8 mg/week versus non-use) were significant risk factors of LPD. Of 55 patients with pathological diagnosis, diffuse large B cell lymphoma was the most frequent (54%). The 5-year mortality of LPD was 24%. The major cause of death was lymphoma (81%). CONCLUSION: This nationwide study revealed risk factors, clinical characteristics, and prognosis of LPD in the largest number of Japanese patients with RA.

Management of End-stage Renal Disease Associated with Systemic Rheumatic Diseases.

The outcomes of rheumatic diseases (RDs) have improved over the past decades. However, a significant proportion of the patients still suffer from end-stage renal disease (ESRD) and have to bear the burden of hemodialysis. It is crucial to prevent patients with RDs from developing ESRD from viewpoints of medicine and medical economics. For those who already have ESRD, it is important to improve vial prognosis and quality of life through appropriate management of disease activity and comorbidities related to ESRD. Thus, rheumatologists and nephrologists need to recognize risk factors associated with progression to ESRD along with their appropriate management. Although the activity of most RDs tends to decrease after initiation of hemodialysis, disease activity may still increase, and recognizing how to appropriately use immunosuppressive agents even after the development of ESRD is crucial. The treatment of RDs needs extra attention as hydroxychloroquine requires more frequent monitoring for adverse drug reactions; therapeutic drug monitoring is necessary for mycophenolate mofetil, cyclosporine A, and tacrolimus; cyclophosphamide and azathioprine need dose adjustments; methotrexate and bucillamine are contraindicated in patients with ESRD; leflunomide and sulfasalazine do not require significant dose reduction and iguratimod should be carefully administered. The pharmacokinetics of biological agents such as rituximab or belimumab are not affected by ESRD, and dose adjustments are not necessary. Collaboration between rheumatologists and nephrologists is needed more than ever and is expected to produce a complementary effect and achieve better outcomes in clinical settings, although this cooperation has not always been conducted appropriately.

Association of the RPA3-UMAD1 locus with interstitial lung diseases complicated with rheumatoid arthritis in Japanese.

OBJECTIVES: The genetic background of rheumatoid arthritis-interstitial lung disease (RA-ILD) has been evaluated in Europeans, but little knowledge has been obtained in non-Europeans. This study aimed to elucidate genome-wide risk of RA-ILD in non-Europeans. METHODS: We performed an initial genome-wide association study (GWAS) of RA-ILD in the Japanese population. By conducting the meta-analysis of the three GWAS datasets of the RA cohorts and biobank of Japanese, our study included 358 RA-ILD cases and 4550 RA subjects without ILD. We then conducted the stratified analysis of the effect of the GWAS risk allele in each CT image pattern. RESULTS: We identified one novel RA-ILD risk locus at 7p21 that satisfied the genome-wide significance threshold (rs12702634 at RPA3-UMAD1, OR=2.04, 95% CI 1.59 to 2.60, p=1.5×10-8). Subsequent stratified analysis based on the CT image patterns demonstrated that the effect size of the RA-ILD risk allele (rs12702634-C) was large with the UIP pattern (OR=1.86, 95% CI 0.97 to 3.58, p=0.062) and the probable UIP pattern (OR=2.26, 95% CI 1.36 to 3.73, p=0.0015). CONCLUSION: We revealed one novel genetic association with RA-ILD in Japanese. The RA-ILD risk of the identified variant at RPA3-UMAD1 was relatively high in the CT image patterns related to fibrosis. Our study should contribute to elucidation of the complicated aetiology of RA-ILD.

The risk of hospitalized infection in patients with systemic lupus erythematosus treated with hydroxychloroquine.

OBJECTIVE: To compare the risk of hospitalized infection (HI) between users and non-users of hydroxychloroquine (HCQ) in systemic lupus erythematosus (SLE). METHODS: Using claims data, patients were defined as SLE cases by the following criteria: 1) they had at least one SLE diagnostic code; 2) they had a prescription for specific drugs, including corticosteroids, steroid pulse therapy, and immunosuppressive drugs; and 3) they were at least 16 years old between September 2015 and July 2017 (n = 17,483). The SLE cases with at least one prescription for HCQ were defined as the HCQ group (n = 1,431), while the others were defined as the non-HCQ group. Among the SLE cases, propensity score-matched cases were observed for 1 year (n = 1,095 in each group). RESULTS: The median age and proportion of female patients in both groups were about 42 years and 88%, respectively. The proportions of cases with HIs were similar (HCQ group, 4.5%; non-HCQ group, 5.6%; p = 0.240, McNemar test). The hazard ratio of the HCQ group for HIs after adjusting for patients' characteristics was not significant at 0.9 (0.6-1.3). CONCLUSION: The use of HCQ was not associated with a risk of HIs in patients with SLE.

Selectivity of Janus Kinase Inhibitors in Rheumatoid Arthritis and Other Immune-Mediated Inflammatory Diseases: Is Expectation the Root of All Headache?

Janus kinase (JAK) is a signal transducer and activator of a protein transcription system that transduces signals from cell surface cytokine and growth factor receptors to the nucleus. Recently developed JAK inhibitors (JAKinibs) inhibit JAKs non-selectively or selectively and down-regulate the effects of corresponding ligands (i.e. cytokines and growth factors). JAKinibs are efficacious against rheumatoid arthritis and other immune-mediated inflammatory diseases and are being increasingly prescribed clinically. Regarding safety, JAKinib use is associated with common or unique changes in laboratory parameters; however, incidence rates of serious adverse drug reactions (ADRs) associated with these changes are low. Opportunistic and other infections, including tuberculosis, are the most critical ADRs of treatment with JAKinibs, and screening and monitoring of patients should be carefully performed. Incidence rates of herpes zoster (HZ) in patients receiving JAKinibs are high in Japan and Korea, and modestly high in other countries. Filgotinib may not be associated with an elevated risk for HZ, but long-term safety data are lacking. Data from clinical development programmes and post-marketing surveillance have indicated no increased risk for malignancy or serious cardiac events; however, long-term observational studies are necessary. Despite the non-elevated risk of gastrointestinal perforations, patients with older age and/or a history of diverticulitis or receiving non-steroidal anti-inflammatory drugs should be carefully evaluated to determine the risk-benefit balance. The incidence rates of venous thromboembolism with all approved doses are similar to that expected in the population, although there are discrepancies in the placebo-controlled portion of the baricitinib clinical development programmes. Regulatory agencies in the USA and Europe suggested a higher risk for thrombotic events in patients receiving JAKinibs. Pharmacokinetic studies demonstrated that dose adjustment should be considered for JAKinib use in patients with moderate-to-severe renal or hepatic dysfunction, depending on the metabolism of each drug. Long-term observational studies enrolling patients with diverse clinical backgrounds are required to strike a risk-benefit balance in clinical settings.

The safety of baricitinib in patients with rheumatoid arthritis.

Introduction: Despite improvement in disease outcomes and prognosis, a substantial number of patients with rheumatoid arthritis (RA) still require a novel agent for effective treatment. Baricitinib is a targeted synthetic disease-modifying antirheumatic drug (tsDMARDs) that selectively inhibits Janus kinase (JAK1/JAK2), an important enzyme in the pathogenesis of RA.Areas covered: This paper aimed to evaluate the pharmacodynamics and pharmacokinetics of baricitinib while reviewing its safety and efficacy in the treatment of RA.Expert opinion: Randomized controlled trials of baricitinib showed its efficacy and safety in patients with active RA who were methotrexate (MTX)-naïve or were not adequately responsive to MTX, conventional synthetic DMARDs, or tumor necrosis factor inhibitors. Baricitinib may be suitable in patients who prefer oral therapy and do not have a history of severe renal impairment, recent history of malignancy, or risk factors for adverse events (AEs) such as venous thromboembolism, opportunistic infection, and diverticulitis. Dose adjustment of baricitinib, based on the assessment of patient conditions including their renal function and disease activity, is an important strategy for successful and safe treatment. However, long-term post-marketing surveillance studies with a larger sample size are required to evaluate the overall safety and AEs with low incidence rates in clinical settings.