Secretion of mitochondrial DNA via exosomes promotes inflammation in Behçet's syndrome.

Mitochondrial DNA (mtDNA) leakage into the cytoplasm can occur when cells are exposed to noxious stimuli. Specific sensors recognize cytoplasmic mtDNA to promote cytokine production. Cytoplasmic mtDNA can also be secreted extracellularly, leading to sterile inflammation. However, the mode of secretion of mtDNA out of cells upon noxious stimuli and its relevance to human disease remain unclear. Here, we show that pyroptotic cells secrete mtDNA encapsulated within exosomes. Activation of caspase-1 leads to mtDNA leakage from the mitochondria into the cytoplasm via gasdermin-D. Caspase-1 also induces intraluminal membrane vesicle formation, allowing for cellular mtDNA to be taken up and secreted as exosomes. Encapsulation of mtDNA within exosomes promotes a strong inflammatory response that is ameliorated upon exosome biosynthesis inhibition in vivo. We further show that monocytes derived from patients with Behçet's syndrome (BS), a chronic systemic inflammatory disorder, show enhanced caspase-1 activation, leading to exosome-mediated mtDNA secretion and similar inflammation pathology as seen in BS patients. Collectively, our findings support that mtDNA-containing exosomes promote inflammation, providing new insights into the propagation and exacerbation of inflammation in human inflammatory diseases.

GPR31-dependent dendrite protrusion of intestinal CX3CR1+ cells by bacterial metabolites.

Small intestinal mononuclear cells that express CX3CR1 (CX3CR1+ cells) regulate immune responses1-5. CX3CR1+ cells take up luminal antigens by protruding their dendrites into the lumen1-4,6. However, it remains unclear how dendrite protrusion by CX3CR1+ cells is induced in the intestine. Here we show in mice that the bacterial metabolites pyruvic acid and lactic acid induce dendrite protrusion via GPR31 in CX3CR1+ cells. Mice that lack GPR31, which was highly and selectively expressed in intestinal CX3CR1+ cells, showed defective dendrite protrusions of CX3CR1+ cells in the small intestine. A methanol-soluble fraction of the small intestinal contents of specific-pathogen-free mice, but not germ-free mice, induced dendrite extension of intestinal CX3CR1+ cells in vitro. We purified a GPR31-activating fraction, and identified lactic acid. Both lactic acid and pyruvic acid induced dendrite extension of CX3CR1+ cells of wild-type mice, but not of Gpr31b-/- mice. Oral administration of lactate and pyruvate enhanced dendrite protrusion of CX3CR1+ cells in the small intestine of wild-type mice, but not in that of Gpr31b-/- mice. Furthermore, wild-type mice treated with lactate or pyruvate showed an enhanced immune response and high resistance to intestinal Salmonella infection. These findings demonstrate that lactate and pyruvate, which are produced in the intestinal lumen in a bacteria-dependent manner, contribute to enhanced immune responses by inducing GPR31-mediated dendrite protrusion of intestinal CX3CR1+ cells.

Genetic architecture of microRNA expression and its link to complex diseases in the Japanese population.

Understanding the genetic effects on non-coding RNA (ncRNA) expression facilitates functional characterization of disease-associated genetic loci. Among several classes of ncRNAs, microRNAs (miRNAs) are key post-transcriptional gene regulators. Despite its biological importance, previous studies on the genetic architecture of miRNA expression focused mostly on the European individuals, underrepresented in other populations. Here, we mapped miRNA expression quantitative trait loci (miRNA-eQTL) for 343 miRNAs in 141 Japanese using small RNA sequencing and whole-genome sequencing, identifying 1275 cis-miRNA-eQTL variants for 40 miRNAs (false discovery rate < 0.2). Of these, 25 miRNAs having eQTL were unreported in the European studies, including 5 miRNAs with their lead variant monomorphic in the European populations, which demonstrates the value of miRNA-eQTL analysis in diverse ancestral populations. MiRNAs with eQTL effect showed allele-specific expression (ASE; e.g. miR-146a-3p), and ASE analysis further detected cis-regulatory variants not captured by the conventional miRNA-eQTL mapping (e.g. miR-933). We identified a copy number variation associated with miRNA expression (e.g. miR-570-3p, P = 7.2 × 10-6), which contributes to a more comprehensive landscape of miRNA-eQTLs. To elucidate a post-transcriptional modification in miRNAs, we created a catalog of miRNA-editing sites, including 10 canonical and 6 non-canonical sites. Finally, by integrating the miRNA-eQTLs and Japanese genome-wide association studies of 25 complex traits (mean n = 192 833), we conducted a transcriptome-wide association study, identifying miR-1908-5p as a potential mediator for adult height, colorectal cancer and type 2 diabetes (P < 9.1 × 10-5). Our study broadens the population diversity in ncRNA-eQTL studies and contributes to functional annotation of disease-associated loci found in non-European populations.

Predictive factors and treatment outcomes associated with difficult-to-treat rheumatoid arthritis conditions: the ANSWER cohort study.

OBJECTIVES: To investigate the predictive factors for difficult-to-treat rheumatoid arthritis (D2T RA) and assess the efficacy of biologic DMARDs (bDMARDs) and Janus kinase inhibitors (JAKi). METHODS: Retrospective analysis was conducted on data from the ANSWER cohort comprising 3623 RA patients treated with bDMARDs or JAKi in Japan. Multivariate Cox proportional hazards modelling was used to analyse the hazard ratios (HRs) for treatment retention. RESULTS: Of the 3623 RA patients, 450 (12.4%) met the first two criteria of the EULAR D2T RA definition (defined as D2T RA in this study). Factors contributing to D2T RA included age over 75 (compared with those under 65, hazard ratio [HR] = 0.46; 95% CI: 0.31, 0.69), higher rheumatoid factor (RF) titres (HR = 1.005; 95% CI: 1.00, 1.01), higher clinical disease activity index (HR = 1.02; 95% CI: 1.01, 1.03), lower methotrexate dosage (HR = 0.97; 95% CI: 0.95, 0.99), and comorbidities like hypertension (HR = 1.53; 95% CI: 1.2, 1.95) and diabetes (HR = 1.37; 95% CI: 1.09, 1.73). Anti-IL-6 receptor antibodies (aIL-6R, HR = 0.53; 95% CI: 0.37, 0.75) and JAKi (HR = 0.64; 95% CI: 0.46, 0.90) were associated with fewer discontinuations due to ineffectiveness compared with TNF inhibitors. Oral glucocorticoid usage (HR = 1.65; 95% CI: 1.11, 2.47) was linked to increased discontinuation due to toxic adverse events. CONCLUSION: Younger onset, higher RF titres, and comorbidities predicted D2T RA development. For managing D2T RA, aIL-6R and JAKi exhibited superior drug retention.

Comparison of retention of biologics in Japanese patients with elderly-onset rheumatoid arthritis-the ANSWER cohort study.

OBJECTIVES: This multicentre, retrospective study aimed to compare retention and reasons for discontinuation between Janus kinase inhibitors (JAKi) and biologic disease-modifying antirheumatic drugs in patients with elderly-onset rheumatoid arthritis (EORA). METHODS: Patients with RA enrolled in a Japanese multicentre observational registry between 2015 and 2022 were included. EORA was defined as RA with onset at 60 or over. To adjust confounding factors by indication for initiation of tumor necrosis factor inhibitors (TNFi), interleukin-6 inhibitors (IL-6i), cytotoxic T-lymphocyte associated antigen 4 immunoglobulin (CTLA4-Ig) blockers, or JAKi, a propensity score based on baseline characteristics was used to compare drug retention. To assess the reasons for discontinuation, retention rates for ineffectiveness, adverse events, and remission were analyzed as secondary outcomes. RESULTS: A total of 572 patients with 835 treatment courses were identified (314 TNFi, 175 IL-6i, 228 CTLA4-Ig, and 118 JAKi). After adjusting for differences in baseline characteristics, drug retention was significantly higher for IL-6i (HR = 0.38, 95%CI = 0.27-0.55, p< 0.01) as compared with TNFi. Discontinuation due to lack of effectiveness was lower with the JAKi (HR = 0.38, 95%CI = 0.22-0.66, p< 0.01) and the IL-6i (HR = 0.29, 95%CI = 0.19-0.46, p< 0.01) as compared with the TNFi although the CTLA4-Ig had a similar HR to TNFi. The adjusted incidence of discontinuation due to adverse event was higher in the JAKi (HR = 2.86, 95%CI = 1.46-5.59, p< 0.01) than the TNFi. CONCLUSIONS: In EORA patients, IL-6i and JAKi had longer retention and less discontinuation due to ineffectiveness than TNFi. The potential risks of JAKi should be approached with an individualized perspective.

The proliferative activity levels of each immune cell population evaluated by mass cytometry are linked to the clinical phenotypes of systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease, and many peripheral immune cell populations (ICPs) are thought to be altered according to the course of the disease. However, it is unclear which ICPs are associated with the clinical phenotypes of SLE. We analyzed peripheral blood mononuclear cells (PBMCs) of 28 SLE patients using mass cytometry and identified 30 ICPs. We determined the proliferative activity of ICPs by measuring the proportion of cells expressing specific markers and Ki-67 among CD45+ cells (Ki-67+ proportion). We observed an increased Ki-67+ proportion for many ICPs of SLE patients and examined the association between their Ki-67+ proportions and clinical findings. The Ki-67+ proportions of five ICPs [classical monocyte (cMo), effector memory CD8+ T cell (CD8Tem), CXCR5- naive B cell (CXCR5- nB), and CXCR5- IgD-CD27- B cell (CXCR5- DNB)] were identified as clinically important factors. The SLE Disease Activity Index (SLEDAI) was positively correlated with cMo and plasma cells (PC). The titer of anti-DNA antibodies was positively correlated with cMo, CXCR5- nB, and CXCR5- DNB. The C4 level was negatively correlated with CXCR5- DNB. The bioactivity of type I interferon was also positively correlated with these ICPs. Fever and renal involvement were associated with cMo. Rash was associated with CD8Tem and CXCR5- DNB. On the basis of the proliferative activity among five ICPs, SLE patients can be classified into five clusters showing different SLE phenotypes. Evaluation of the proliferative activity in each ICP can be linked to the clinical phenotypes of individual SLE patients and help in the treatment strategy.

Genomic repertoires linked with pathogenic potency of arthritogenic Prevotella copri isolated from the gut of patients with rheumatoid arthritis.

OBJECTIVES: Prevotella copri is considered to be a contributing factor in rheumatoid arthritis (RA). However, in some non-Westernised countries, healthy individuals also harbour an abundance of P. copri in the intestine. This study investigated the pathogenicity of RA patient-derived P. copri (P. copri RA) compared with healthy control-derived P. copri (P. copri HC). METHODS: We obtained 13 P. copri strains from the faeces of patients with RA and healthy controls. Following whole genome sequencing, the sequences of P. copri RA and P. copri HC were compared. To analyse the arthritis-inducing ability of P. copri, we examined two arthritis models (1) a collagen-induced arthritis model harbouring P. copri under specific-pathogen-free conditions and (2) an SKG mouse arthritis model under P. copri-monocolonised conditions. Finally, to evaluate the ability of P. copri to activate innate immune cells, we performed in vitro stimulation of bone marrow-derived dendritic cells (BMDCs) by P. copri RA and P. copri HC. RESULTS: Comparative genomic analysis revealed no apparent differences in the core gene contents between P. copri RA and P. copri HC, but pangenome analysis revealed the high genome plasticity of P. copri. We identified a P. copri RA-specific genomic region as a conjugative transposon. In both arthritis models, P. copri RA-induced more severe arthritis than P. copri HC. In vitro BMDC stimulation experiments revealed the upregulation of IL-17 and Th17-related cytokines (IL-6, IL-23) by P. copri RA. CONCLUSION: Our findings reveal the genetic diversity of P. copri, and the genomic signatures associated with strong arthritis-inducing ability of P. copri RA. Our study contributes towards elucidation of the complex pathogenesis of RA.

Comparative effectiveness of biological disease-modifying antirheumatic drugs and Janus kinase inhibitor monotherapy in rheumatoid arthritis.

OBJECTIVES: To examine the effectiveness and drug tolerability of biological disease-modifying antirheumatic drugs (bDMARDs) and Janus kinase inhibitor (JAKi) monotherapy in patients with rheumatoid arthritis (RA) in a multicentre cohort study. METHODS: Patients with RA initiated with bDMARD/JAKi monotherapy without conventional synthetic DMARDs were included. Monotherapy regimens were categorised as interleukin-6 receptor inhibitors (IL-6Ri), cytotoxic T-lymphocyte-associated protein 4 immunoglobulin (CTLA4Ig), JAKi, or tumour necrosis factor inhibitors (TNFi). Multiple propensity score-based inverse probability weighting (IPW) was used to reduce selection bias. Linear mixed-effect models with IPW were used to examine changes in the disease activity score in 28 joints (DAS28)-erythrocyte sedimentation rate (ESR) at 24 weeks, and drug retention was compared among monotherapy using IPW Cox proportional hazards models. RESULTS: A total of 849 treatment courses from 635 patients were included (IL-6Ri, 218; CTLA4Ig, 183; JAKi, 92; TNFi, 356). The difference in change in DAS28-ESR at week 24 as the primary outcome was -0.93 (95% CI: -1.20 to -0.66) lower in the IL-6Ri group than TNFi, while that of CTLA4Ig and JAKi was similar with that of TNFi (-0.20 [-0.48 to 0.08], -0.25 [-0.67 to 0.16], respectively). IL-6Ri use was associated with significantly lower overall drug discontinuation than TNFi use (hazard ratio = 0.55 [0.39-0.78], P = 0.001). Similar retention rates were identified among CTLA4Ig and JAKi compared to TNFi. CONCLUSION: In the analysis with IPW to reduce selection bias, IL-6Ri monotherapy was superior to TNFi monotherapy in terms of effectiveness and drug retention. No significant differences were identified between CTLA4Ig, JAKi, and TNFi monotherapy.

Add-on effectiveness of methotrexate or iguratimod in patients with rheumatoid arthritis exhibiting an inadequate response to Janus kinase inhibitors: The ANSWER cohort study.

OBJECTIVES: This multicenter, retrospective study evaluated the effectiveness of add-on methotrexate (MTX) or iguratimod (IGU) in patients with rheumatoid arthritis exhibiting an inadequate response to Janus kinase inhibitors (JAKis). METHODS: Forty-five patients were treated with new additional MTX (n = 22) or IGU (n = 23) and followed for 6 months. Patients' background is as follows: age, 59.2 years; disease activity score of 28 joints with C-reactive protein (DAS28-CRP), 3.4; clinical disease activity index, 15.7; biological disease-modifying antirheumatic drug (DMARD)-switched cases, 77.8%; first JAKi cases, 95.6%; and JAKi treatment: tofacitinib (n = 25), baricitinib (n = 17), upadacitinib (n = 2), and peficitinib (n = 1) for 9.6 months. RESULTS: Thirty-five patients continued the combination therapy for 6 months without a significant change in concomitant glucocorticoid or other conventional synthetic DMARDs. DAS28-CRP (MTX, 3.6 to 2.6, p < 0.05; IGU, 3.3 to 2.1, p < 0.001) and clinical disease activity index (MTX, 16.7 to 8.8, p < 0.05; IGU, 14.6 to 6.5, p < 0.01) improved significantly from baseline. Using the 2019 European League Against Rheumatism criteria, 45.4% (MTX) and 39.1% (IGU) achieved moderate or good response and 40.9% (MTX) and 39.1% (IGU) achieved American College of Rheumatology 20% improvement criteria. CONCLUSIONS: Adding MTX or IGU to inadequate responders of JAKi can be considered as a complementary treatment.

Multi-trait and cross-population genome-wide association studies across autoimmune and allergic diseases identify shared and distinct genetic component.

OBJECTIVES: Autoimmune and allergic diseases are outcomes of the dysregulation of the immune system. Our study aimed to elucidate differences or shared components in genetic backgrounds between autoimmune and allergic diseases. METHODS: We estimated genetic correlation and performed multi-trait and cross-population genome-wide association study (GWAS) meta-analysis of six immune-related diseases: rheumatoid arthritis, Graves' disease, type 1 diabetes for autoimmune diseases and asthma, atopic dermatitis and pollinosis for allergic diseases. By integrating large-scale biobank resources (Biobank Japan and UK biobank), our study included 105 721 cases and 433 663 controls. Newly identified variants were evaluated in 21 778 cases and 712 767 controls for two additional autoimmune diseases: psoriasis and systemic lupus erythematosus. We performed enrichment analyses of cell types and biological pathways to highlight shared and distinct perspectives. RESULTS: Autoimmune and allergic diseases were not only mutually classified based on genetic backgrounds but also they had multiple positive genetic correlations beyond the classifications. Multi-trait GWAS meta-analysis newly identified six allergic disease-associated loci. We identified four loci shared between the six autoimmune and allergic diseases (rs10803431 at PRDM2, OR=1.07, p=2.3×10-8, rs2053062 at G3BP1, OR=0.90, p=2.9×10-8, rs2210366 at HBS1L, OR=1.07, p=2.5×10-8 in Japanese and rs4529910 at POU2AF1, OR=0.96, p=1.9×10-10 across ancestries). Associations of rs10803431 and rs4529910 were confirmed at the two additional autoimmune diseases. Enrichment analysis demonstrated link to T cells, natural killer cells and various cytokine signals, including innate immune pathways. CONCLUSION: Our multi-trait and cross-population study should elucidate complex pathogenesis shared components across autoimmune and allergic diseases.

Whole gut virome analysis of 476 Japanese revealed a link between phage and autoimmune disease.

OBJECTIVE: The relationship between autoimmune diseases and the gut microbiome has been intensively studied, and several autoimmunity-associated bacterial taxa have been identified. However, much less is known about the roles of the gut virome in autoimmune diseases. METHODS: Here, we performed a whole gut virome analysis based on the shotgun sequencing of 476 Japanese which included patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), multiple sclerosis and healthy control subjects. RESULTS: Our case-control comparison of the viral abundance revealed that crAss-like phages, which are one of the main components of a healthy gut virome, significantly decreased in the gut of the patients with autoimmune disease, specifically the patients with RA and SLE. In addition, Podoviridae significantly decreased in the gut of the patients with SLE. To understand how these viruses affected the bacteriome, we performed a quantitative virus-bacterium association analysis and clustered regularly interspaced short palindromic repeat-based virus-bacterium interaction analysis. We identified a symbiosis between Podoviridae and Faecalibacterium. In addition, multiple bacterial targets of crAss-like phages were identified (eg, Ruminococcus spp). CONCLUSION: Our data suggest that the gut virome can affect our body either directly or via bacteria. Our analyses have elucidated a previously missing part of the autoimmunity-associated gut microbiome and presented new candidates that contribute to the development of autoimmune diseases.

Increased levels of plasma nucleotides in patients with rheumatoid arthritis.

Novel biomarkers of rheumatoid arthritis (RA), in addition to antibodies against cyclic citrullinated peptides, are required. Metabolome analysis is a promising approach to identify metabolite biomarkers for clinical diagnosis. We adopted a comprehensive non-targeted metabolomics approach combining capillary electrophoresis time-of-flight mass spectrometry (TOFMS) and liquid chromatography TOFMS. We constructed metabolomics profiling of 286 plasma samples of a Japanese population [92 RA patients, 13 systemic lupus erythematosus (SLE) patients and 181 healthy controls). RA case-control association tests showed that seven metabolites exhibited significantly increased levels in RA samples compared with controls (P < 1.0 × 10-4; UTP, ethanolamine phosphate, ATP, GDP, ADP, 6-aminohexanoic acid and taurine), whereas one exhibited a decreased level (xanthine). The plasma levels of these eight metabolites were not significantly different between seropositive and seronegative RA patients (P > 0.05; n = 68 and 24, respectively). The four nucleotide levels (UTP, ATP, GDP and ADP) were significantly higher in the non-treatment patients in comparison between patients with and without treatment (P < 0.014; n = 57 and 35, respectively). Furthermore, we found that none of the four nucleotide levels showed significant differences in SLE case-control association tests (P > 0.2; 13 patients with SLE and the 181 shared controls) and psoriatic arthritis (PsA) case-control association tests (P > 0.11; 42 patients with PsA and 38 healthy controls), indicating disease specificity in RA. In conclusion, our large-scale metabolome analysis demonstrated the increased plasma nucleotide levels in RA patients, which could be used as potential clinical biomarkers of RA, especially for seronegative RA.

Longitudinal alterations of the gut mycobiota and microbiota on COVID-19 severity.

BACKGROUND: The impact of SARS-CoV-2 infection on the gut fungal (mycobiota) and bacterial (microbiota) communities has been elucidated individually. This study analyzed both gut mycobiota and microbiota and their correlation in the COVID-19 patients with severe and mild conditions and follow-up to monitor their alterations after recovery. METHODS: We analyzed the gut mycobiota and microbiota by bacterial 16S and fungal ITS1 metagenomic sequencing of 40 severe patients, 38 mild patients, and 30 healthy individuals and reanalyzed those of 10 patients with severe COVID-19 approximately 6 months after discharge. RESULTS: The mycobiota of the severe and mild groups showed lower diversity than the healthy group, and in some, characteristic patterns dominated by a single fungal species, Candida albicans, were detected. Lower microbial diversity in the severe group was observed, but no differences in its diversity or community structure were detected between the mild and healthy groups. The microbiota of the severe group was characterized by an increase in Enterococcus and Lactobacillus, and a decrease in Faecalibacterium and Bacteroides. The abundance of Candida was positively correlated with that of Enterococcus in patients with COVID-19. After the recovery of severe patients, alteration of the microbiota remained, but the mycobiota recovered its diversity comparable to that of mild and healthy groups. CONCLUSION: In mild cases, the microbiota is stable during SARS-CoV-2 infection, but in severe cases, alterations persist for 6 months after recovery.

Oral intake of silica nanoparticles exacerbates intestinal inflammation.

Nanoparticles, i.e., particles with a diameter of ≤100 nm regardless of their composing material, are added to various foods as moisturizers, coloring agents, and preservatives. Silicon dioxide (SiO2, silica) nanoparticles in particular are widely used as food additives. However, the influence of SiO2 nanoparticle oral consumption on intestinal homeostasis remains unclear. The daily intake of 10-nm-sized SiO2 nanoparticles exacerbates dextran sulfate sodium (DSS)-induced colitis, whereas the daily intake of 30-nm-sized SiO2 nanoparticles has no influence on intestinal inflammation. The exacerbation of colitis induced by consuming 10-nm-sized SiO2 nanoparticles was abolished in mice deficient in apoptosis-associated speck-like protein containing a CARD (ASC). Our study indicates that the oral intake of small SiO2 nanoparticles poses a risk for worsening intestinal inflammation through activation of the ASC inflammasome.

Metagenome-wide association study revealed disease-specific landscape of the gut microbiome of systemic lupus erythematosus in Japanese.

OBJECTIVE: Alteration of the gut microbiome has been linked to the pathogenesis of systemic lupus erythematosus (SLE). However, a comprehensive view of the gut microbiome in SLE and its interaction with the host remains to be revealed. This study aimed to reveal SLE-associated changes in the gut microbiome and its interaction with the host by a comprehensive metagenome-wide association study (MWAS) followed by integrative analysis. METHODS: We performed a MWAS of SLE based on shotgun sequencing of the gut microbial DNA from Japanese individuals (Ncase=47, Ncontrol=203). We integrated the result of the MWAS with the genome-wide association study (GWAS) data and plasma metabolite data. RESULTS: Via species level phylogenetic analysis, we identified and validated increases of Streptococcus intermedius and Streptococcus anginosus in the patients with SLE. Microbial gene analysis revealed increases of Streptococcus-derived genes including one involved in redox reaction. Additionally, microbial pathways related to sulfur metabolism and flagella assembly were altered in the patients with SLE. We identified an overlap in the enriched biological pathways between the metagenome and the germline genome by comparing the result of the MWAS and the GWAS of SLE (ie, MWAS-GWAS interaction). α-diversity and ß-diversity analyses provided evidence of dysbiosis in the metagenome of the patients with SLE. Microbiome-metabolome association analysis identified positive dosage correlation of acylcarnitine with Streptococcus intermedius, an SLE-associated taxon. CONCLUSION: Our MWAS followed by integrative analysis revealed SLE-associated changes in the gut microbiome and its interaction with the host, which contribute to our understanding of the relationship between the microbiome and SLE.

Comparison of efficacy between anti-IL-6 receptor antibody and other biological disease-modifying antirheumatic drugs in the patients with rheumatoid arthritis who have knee joint involvement: the ANSWER cohort, retrospective study.

OBJECTIVE: We aimed to investigate the efficacy of anti-IL-6 receptor antibody (aIL-6) and other biologic disease-modifying antirheumatic drugs (bDMARDs), such as TNF inhibitor and CTLA4-Ig in the treatment of rheumatoid arthritis (RA) in patients with knee joint involvement. METHODS: We retrospectively analyzed 1059 treatment courses of patients with RA who visited our hospitals and were treated with bDMARDs. We categorized them into two groups, with or without knee joint involvement. We investigated the clinical disease activity index (CDAI) at baseline and 12 weeks after the initiation of bDMARDs. We compared the improvement of the markers between aIL-6 and other bDMARDs. RESULTS: Treatment with aIL-6 significantly increased ΔCDAI (n = 91, 15.4 ± 1.1; mean ± SEM) in patients with knee joint involvement, compared to other bDMARDs (n = 232, 11.0 ± 0.7) at 12 weeks (P = 0.006). Following the multivariate analysis adjusted by the CDAI levels at baseline, age, gender, concomitant use of methotrexate, and the first use of bDMARDs, ΔCDAI levels were significantly higher in aIL-6, compared to other bDMARDs (P = 0.02). However, there was no significant difference in ΔCDAI improvement between aIL-6 (n = 162, 5.9 ± 0.6) and other bDMARDs (n = 573, 6.2 ± 0.4) in patients without swollen knee joints. ΔCDAI levels were equally increased in patients with shoulder and elbow joint involvement. CONCLUSION: aIL-6 was more effective in the patients with RA and knee joint involvement, compared to other bDMARDs.

Metagenome-wide association study of gut microbiome revealed novel aetiology of rheumatoid arthritis in the Japanese population.

OBJECTIVE: The causality and pathogenic mechanism of microbiome composition remain elusive in many diseases, including autoimmune diseases such as rheumatoid arthritis (RA). This study aimed to elucidate gut microbiome's role in RA pathology by a comprehensive metagenome-wide association study (MWAS). METHODS: We conducted MWAS of the RA gut microbiome in the Japanese population (ncase=82, ncontrol=42) by using whole-genome shotgun sequencing of high depth (average 13 Gb per sample). Our MWAS consisted of three major bioinformatic analytic pipelines (phylogenetic analysis, functional gene analysis and pathway analysis). RESULTS: Phylogenetic case-control association tests showed high abundance of multiple species belonging to the genus Prevotella (e.g., Prevotella denticola) in the RA case metagenome. The non-linear machine learning method efficiently deconvoluted the case-control phylogenetic discrepancy. Gene functional assessments showed that the abundance of one redox reaction-related gene (R6FCZ7) was significantly decreased in the RA metagenome compared with controls. A variety of biological pathways including those related to metabolism (e.g., fatty acid biosynthesis and glycosaminoglycan degradation) were enriched in the case-control comparison. A population-specific link between the metagenome and host genome was identified by comparing biological pathway enrichment between the RA metagenome and the RA genome-wide association study results. No apparent discrepancy in alpha or beta diversities of metagenome was found between RA cases and controls. CONCLUSION: Our shotgun sequencing-based MWAS highlights a novel link among the gut microbiome, host genome and pathology of RA, which contributes to our understanding of the microbiome's role in RA aetiology.

The family history of rheumatoid arthritis in anti-cyclic citrullinated peptide antibody-positive patient is not a predictor of poor clinical presentation and treatment response with modern classification criteria and treatment strategy: the ANSWER cohort study.

A family history of rheumatoid arthritis (RA) is a strong risk factor for developing RA, affecting both genetically and environmentally. However, whether family history provides clinically relevant information in the modern classification and treatment remains largely unknown. This study aimed to determine whether a family history of RA is associated with a different clinical presentation of RA and treatment response. We retrospectively evaluated the demographic data and disease activity of newly diagnosed RA patients at baseline, 1 year, and 2 years after onset, using the ANSWER (Kansai consortium for the well-being of rheumatic disease patients) cohort data. Thirty-one patients (11.9%) among 260 newly diagnosed RA patients had a family history of RA up to second degree. There was no significant difference in the age at onset, time from onset to first visit, sex, positivity or value of rheumatoid factor or anti-cyclic citrullinated peptide antibody (ACPA), or disease activity between patients with and without a family history of RA. However, patients who had a family history of RA and were ACPA positive showed significantly lower erythrocyte sedimentation rate, and C-reactive protein. Disease activity in patients with a family history was not worse at baseline, after 1 year or 2 years of treatment. The Larsen score 2 years after onset was equivalent between the patients with and without a family history of RA in ACPA-positive patients. Family history of RA in ACPA-positive patients is not associated with high disease activity at baseline and is not a predictor of poor outcome 2 years after onset.

Comparison of the efficacy and safety of biologic agents between elderly-onset and young-onset RA patients: the ANSWER cohort study.

The objective of the study was to compare the efficacy and safety of biological disease-modifying antirheumatic drugs (bDMARDs) between elderly-onset rheumatoid arthritis (EORA) and young-onset rheumatoid arthritis (YORA) patients. Patients with rheumatoid arthritis (RA) aged ≧18 years enrolled in a Japanese multicenter observational registry between 2009 and 2018 who had moderate or high disease activity when initiating bDMARDs were included. EORA was defined as RA with onset at 60 or over. After propensity score weighting for differences in confounding factors, generalized estimating equations were used to assess the relationship between the age of RA onset and bDMARD clinical effectiveness at 48 weeks after starting a bDMARD. Among a total of 7183 patients in the registry, 2815 (39.2%) were identified as EORA. The proportion of patients on bDMARDs was lower in the EORA as compared to the YORA (18.3% vs 28.0%, p < 0.001). Of the 989 bDMARD initiators, 364 (36.8%) were identified as EORA. The median follow-up duration was 48 weeks both in the EORA and in the YORA. After adjusting for differences in baseline characteristics between the two age groups, there was no significant difference in Clinical Disease Activity Index scores at 48 weeks (mean difference 1.01, 95% CI = - 0.62 to 2.64, p = 0.22). There was a non-significant trend toward lower remission in EORA (OR = 0.52, 95% CI = 0.24-1.14, p = 0.10), and low disease activity/remission was similar (OR = 0.86, 95% CI = 0.29-2.52, p = 0.77). Drug retention (HR = 0.95, 95% CI = 0.55-1.35, p = 0.78) and discontinuations due to adverse events (HR = 0.78, 95% CI = 0.38-1.18, p = 0.22) were similar between the two age groups after adjustment for confounders. In RA patients initiating bDMARDs, improvements in clinical disease at 48 weeks were similar between EORA and YORA. Drug retention and adverse events discontinuation were similar between the two age groups.

Integration of genetics and miRNA-target gene network identified disease biology implicated in tissue specificity.

MicroRNAs (miRNAs) modulate the post-transcriptional regulation of target genes and are related to biology of complex human traits, but genetic landscape of miRNAs remains largely unknown. Given the strikingly tissue-specific miRNA expression profiles, we here expand a previous method to quantitatively evaluate enrichment of genome-wide association study (GWAS) signals on miRNA-target gene networks (MIGWAS) to further estimate tissue-specific enrichment. Our approach integrates tissue-specific expression profiles of miRNAs (∼1800 miRNAs in 179 cells) with GWAS to test whether polygenic signals enrich in miRNA-target gene networks and whether they fall within specific tissues. We applied MIGWAS to 49 GWASs (nTotal = 3 520 246), and successfully identified biologically relevant tissues. Further, MIGWAS could point miRNAs as candidate biomarkers of the trait. As an illustrative example, we performed differentially expressed miRNA analysis between rheumatoid arthritis (RA) patients and healthy controls (n = 63). We identified novel biomarker miRNAs (e.g. hsa-miR-762) by integrating differentially expressed miRNAs with MIGWAS results for RA, as well as novel associated loci with significant genetic risk (rs56656810 at MIR762 at 16q11; n = 91 482, P = 3.6 × 10-8). Our result highlighted that miRNA-target gene network contributes to human disease genetics in a cell type-specific manner, which could yield an efficient screening of miRNAs as promising biomarkers.