DA-9601 has protective effects comparable to those of proton pump inhibitor and rebamipide against nonsteroidal anti-inflammatory drugs-induced upper and lower gastrointestinal bleeding in patients with rheumatoid arthritis: A nationwide study using Korean Health Insurance Review and Assessment Service database.

DA-9601 extracted from Artemisia asiatica contains a bioactive compound - eupatilin - that can protect against gastric mucosal damage through anti-inflammatory and anti-oxidative properties and is approved for treating acute and chronic gastritis in Korea, but their ability to protect gastrointestinal (GI) bleeding caused by nonsteroidal anti-inflammatory drugs (NSAIDs) is unclear. We aimed to compare the protective effects of DA-9601 to those of proton pump inhibitors (PPI) and rebamipide against upper and lower GI bleeding in patients with rheumatoid arthritis (RA) undergoing long-term NSAIDs therapy using the Korean Health Insurance Review and Assessment database. In this nationwide retrospective cohort study, we evaluated patients with RA who concurrently received NSAIDs for >3 months with DA-9601, PPI, or rebamipide between January 2015 and December 2017. The index date was the date of NSAIDs initiation, and all patients were followed up until December 2020 to detect upper and lower GI bleeding. In total, 24,258 patients with RA were eligible, and 5468 (22.5%), 4417 (18.2%), and 14,373 (59.3%) received DA-9601, PPI, or rebamipide, respectively, on the index date. During follow-up, upper and lower GI bleeding occurred in 508 (2.1%) and 402 (1.6%) patients with RA, respectively. The incidence rate of upper and lower GI bleeding was 615/100,000 and 485/100,000 person-years, respectively. Among patients with RA receiving DA-9601, PPI, or rebamipide, the frequencies of NSAIDs-induced upper GI bleeding were 0.5%, 0.4%, and 1.2%, respectively. The frequencies of NSAIDs-induced lower GI bleeding were 0.4%, 0.4%, and 0.9%, respectively. The incidence of NSAIDs-induced upper GI bleeding in patients with RA receiving DA-9601, PPI, and rebamipide was 601/100,000, 705/100,000, and 596/100,000 person-years, respectively, while the incidence of NSAIDs-induced lower GI bleeding in the same groups was 449/100,000, 608/100,000, and 465/100,000 person-years, respectively. In the multivariate Cox regression analysis, no significant difference was observed in lower and upper GI bleeding hazards between patients with RA using DA-9601, PPI, and rebamipide. Our results suggest that DA-9601 may exhibit protection against NSAIDs-induced GI bleeding that is comparable to those of PPI and rebamipide in patients with RA.

High vegetable consumption and regular exercise are associated with better quality of life in patients with gout.

Background/Aims: The Gout Impact Scale (GIS), a part of the Gout Assessment Questionnaire 2.0, is used to measure gout-specific health-related quality of life (HRQOL). Although several studies have been conducted on the factors affecting the HRQOL of patients with gout, few have focused on lifestyle factors. This study aimed to investigate the correlation between lifestyle habits and HRQOL using the GIS in patients with gout. Methods: We used data from the Urate-Lowering TheRApy in Gout (ULTRA) registry, a prospective cohort of Korean patients with gout treated at multiple centers nationwide. The patients were aged ≥18 years and met the 2015 American College of Rheumatology/European League Against Rheumatism gout classification criteria. They were asked to complete a GIS and questions regarding their lifestyle habits at enrollment. Results: The study included 232 patients. 'Gout concern overall' scores in the GIS were significantly lower in patients who exercised more frequently and consumed soft drinks and meat less, and 'well-being during attack' scores were significantly lower in patients who consumed vegetables and exercised more frequently. The frequency of vegetable consumption had a negative linear relationship with the 'well-being during attack' and 'gout concern during attack' scores (p = 0.01, p = 0.001, respectively). The frequency of exercise had a negative linear relationship with the 'gout concern overall' and 'gout concern during attack' scores (p = 0.04 and p = 0.002, respectively). Conclusions: Patients with gout who frequently consumed vegetables and exercised regularly experienced less impact of gout, exhibiting a better GIS that represented HRQOL.

Social media has become a mainstream source of medical information for patients with rheumatic diseases: a cross-sectional survey of patients.

This study analyzed the status of medical information acquisition through social media (SM) and its impact on healthcare utilization among patients with rheumatic diseases (RDs) who visited the rheumatology department of a tertiary hospital. We consecutively evaluated 102 patients with RDs in this single-center cross-sectional survey. Using a face-to-face survey, patients were asked about the sources they used to acquire medical information, factors influencing their visits to tertiary hospitals, and the potential impact of acquiring medical information on RDs through SM. SM refers to YouTube, Facebook, Instagram, Kakao Channel, Naver Band, and X. The mean age was 42.3 years and 39% were female. The most common disease was ankylosing spondylitis (45.1%), followed by rheumatoid arthritis (20.6%). The most frequent method for acquiring medical information regarding RDs, except for rheumatologists, was internet portal sites (47.8%), followed by SM (40.2%). The most important factor influencing the decision to visit a tertiary hospital was medical doctors (51%); only 1% of the patients responded that SM was the most crucial factor in determining their visit. Most patients (77.5%) responded that acquiring medical information through SM would help them manage their diseases. Our data revealed that a substantial proportion of patients with RDs obtained medical information through SM. However, the impact of SM on visiting a tertiary hospital was minimal, suggesting that SM has become a mainstream source of medical information, yet the reliability of SM remains relatively low. Rheumatology societies should establish SM platforms capable of providing high-quality medical information.

Drug Persistence and Incidence of Active Tuberculosis of Tumor Necrosis Factor Alpha Inhibitors Versus Tocilizumab as the First-Line Biological Treatment in Patients with Rheumatoid Arthritis: A Nationwide Population-Based Retrospective Cohort Analysis.

INTRODUCTION: Drug persistence may be a surrogate marker that reflects both long-term efficacy and safety in clinical settings, and tuberculosis (TB) is considered as one of the most important opportunistic infections after the biological treatment in rheumatoid arthritis (RA). We aimed to compare drug persistence and incidence of TB between tumor necrosis factor alpha (TNFα) inhibitors and tocilizumab in patients with RA using data from the Korean Health Insurance Review and Assessment Service database. METHODS: In this analysis, 5449 patients with RA who started TNFα inhibitors, such as adalimumab, etanercept, infliximab, and golimumab or tocilizumab, as the first-line biological therapy between January 2014 and December 2017 were analyzed and followed up until December 2019. Drug persistence was defined as the duration from initiation to first discontinuation, and TB was defined as the prescription of > 2 anti-TB medications after the initiation of biologics. RESULTS: TNFα inhibitors and tocilizumab were prescribed in 4202 (adalimumab, 1413; etanercept, 1100; infliximab, 769; golimumab 920) and 1247 patients with RA, respectively. During the analysis period, 2090 (49.7%) and 477 (38.3%) patients with RA discontinued TNFα inhibitors and tocilizumab, respectively, and 42 patients with RA developed TB (TNFα inhibitors, 33; tocilizumab, 9). After adjustment for confounding factors, TNFα inhibitors were significantly associated with a higher risk of discontinuation compared with tocilizumab (hazard ratio (HR) 1.63, p < 0.001). In subgroup analysis, all types of TNFα inhibitors, except for infliximab, demonstrated a significantly lower persistence rate compared with tocilizumab. There was no significant difference in TB incidence between tocilizumab and TNFα inhibitors. In subgroup analysis, infliximab has a significantly higher risk of TB compared with tocilizumab (HR 2.84, p = 0.02). CONCLUSION: In this analysis, tocilizumab had longer persistence than TNFα inhibitors with a similar incidence of TB. Our analysis has limitations: (1) The HIRA database lacks clinical details like disease activity and joint damage extent, potentially influencing the analysis results. (2) Reasons for discontinuing biological agents were not available. (3) TB diagnoses may be inaccurate because of missing microbiological results. (4) We did not analyze the impact of treating latent TB infection on TB development post-biological treatment, despite mandatory screening in Korea.

To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice.

OBJECTIVES: To develop recommendations regarding the use of weights to reduce selection bias for commonly performed analyses using electronic health record (EHR)-linked biobank data. MATERIALS AND METHODS: We mapped diagnosis (ICD code) data to standardized phecodes from 3 EHR-linked biobanks with varying recruitment strategies: All of Us (AOU; n = 244 071), Michigan Genomics Initiative (MGI; n = 81 243), and UK Biobank (UKB; n = 401 167). Using 2019 National Health Interview Survey data, we constructed selection weights for AOU and MGI to represent the US adult population more. We used weights previously developed for UKB to represent the UKB-eligible population. We conducted 4 common analyses comparing unweighted and weighted results. RESULTS: For AOU and MGI, estimated phecode prevalences decreased after weighting (weighted-unweighted median phecode prevalence ratio [MPR]: 0.82 and 0.61), while UKB estimates increased (MPR: 1.06). Weighting minimally impacted latent phenome dimensionality estimation. Comparing weighted versus unweighted phenome-wide association study for colorectal cancer, the strongest associations remained unaltered, with considerable overlap in significant hits. Weighting affected the estimated log-odds ratio for sex and colorectal cancer to align more closely with national registry-based estimates. DISCUSSION: Weighting had a limited impact on dimensionality estimation and large-scale hypothesis testing but impacted prevalence and association estimation. When interested in estimating effect size, specific signals from untargeted association analyses should be followed up by weighted analysis. CONCLUSION: EHR-linked biobanks should report recruitment and selection mechanisms and provide selection weights with defined target populations. Researchers should consider their intended estimands, specify source and target populations, and weight EHR-linked biobank analyses accordingly.

Ginkgo biloba extract ameliorates skin fibrosis in a bleomycin-induced mouse model of systemic sclerosis.

Systemic sclerosis (SSc) is a chronic autoimmune disease characterized by skin and internal organ fibrosis and obliterative vasculopathy. Few effective treatments are currently available for fibrosis in SSc, therefore, demand persists for novel therapies. Although use of Ginkgo biloba extract (GBE) has been reported to improve blood circulation and alleviate liver and lung fibrosis, its effect on skin fibrosis in SSc remains unclear. In this study, the effects and underlying mechanisms of GBE on skin fibrosis in bleomycin (BLM)-induced mouse model of SSc was investigated. GBE significantly reduced dermal thickness and protein levels of profibrotic factors in the BLM-induced SSc mouse model. Moreover, GBE inhibited the gene expression of profibrotic factors, such as COL1A1, α-SMA, and connective tissue growth factor (CTGF), in fibroblasts by suppressing transforming growth factor (TGF)-ß signaling. Furthermore, GBE inhibited the transdifferentiation of adipocytes into myofibroblasts. Thus, our findings suggest that GBE is a promising therapeutic candidate for the treatment of SSc.

The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population.

The clinical utility of a type 2 diabetes mellitus (T2DM) polygenic risk score (PRS) in the East Asian population remains underexplored. We aimed to examine the potential prognostic value of a T2DM PRS and assess its viability as a clinical instrument. We first established a T2DM PRS for 5490 Korean individuals using East Asian Biobank data (269,487 samples). Subsequently, we assessed the predictive capability of this T2DM PRS in a prospective longitudinal study with baseline data and data from seven additional follow-ups. Our analysis showed that the T2DM PRS could predict the transition of glucose tolerance stages from normal glucose tolerance to prediabetes and from prediabetes to T2DM. Moreover, T2DM patients in the top-decile PRS group were more likely to be treated with insulin (hazard ratio = 1.69, p value = 2.31E-02) than were those in the remaining PRS groups. T2DM PRS values were significantly high in the severe diabetes subgroup, characterized by insulin resistance and ß -cell dysfunction (p value = 0.0012). The prediction models with the T2DM PRS had significantly greater Harrel's C-indices than did corresponding models without it. By utilizing prospective longitudinal study data and extensive clinical risk factor information, our analysis provides valuable insights into the multifaceted clinical utility of the T2DM PRS.

Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction.

BACKGROUND: Genetic variants can contribute differently to trait heritability by their functional categories, and recent studies have shown that incorporating functional annotation can improve the predictive performance of polygenic risk scores (PRSs). In addition, when only a small proportion of variants are causal variants, PRS methods that employ a Bayesian framework with shrinkage can account for such sparsity. It is possible that the annotation group level effect is also sparse. However, the number of PRS methods that incorporate both annotation information and shrinkage on effect sizes is limited. We propose a PRS method, PRSbils, which utilizes the functional annotation information with a bilevel continuous shrinkage prior to accommodate the varying genetic architectures both on the variant-specific level and on the functional annotation level. RESULTS: We conducted simulation studies and investigated the predictive performance in settings with different genetic architectures. Results indicated that when there was a relatively large variability of group-wise heritability contribution, the gain in prediction performance from the proposed method was on average 8.0% higher AUC compared to the benchmark method PRS-CS. The proposed method also yielded higher predictive performance compared to PRS-CS in settings with different overlapping patterns of annotation groups and obtained on average 6.4% higher AUC. We applied PRSbils to binary and quantitative traits in three real world data sources (the UK Biobank, the Michigan Genomics Initiative (MGI), and the Korean Genome and Epidemiology Study (KoGES)), and two sources of annotations: ANNOVAR, and pathway information from the Kyoto Encyclopedia of Genes and Genomes (KEGG), and demonstrated that the proposed method holds the potential for improving predictive performance by incorporating functional annotations. CONCLUSIONS: By utilizing a bilevel shrinkage framework, PRSbils enables the incorporation of both overlapping and non-overlapping annotations into PRS construction to improve the performance of genetic risk prediction. The software is available at https://github.com/styvon/PRSbils .

To weight or not to weight? Studying the effect of selection bias in three large EHR-linked biobanks.

Objective: To explore the role of selection bias adjustment by weighting electronic health record (EHR)-linked biobank data for commonly performed analyses. Materials and methods: We mapped diagnosis (ICD code) data to standardized phecodes from three EHR-linked biobanks with varying recruitment strategies: All of Us (AOU; n=244,071), Michigan Genomics Initiative (MGI; n=81,243), and UK Biobank (UKB; n=401,167). Using 2019 National Health Interview Survey data, we constructed selection weights for AOU and MGI to be more representative of the US adult population. We used weights previously developed for UKB to represent the UKB-eligible population. We conducted four common descriptive and analytic tasks comparing unweighted and weighted results. Results: For AOU and MGI, estimated phecode prevalences decreased after weighting (weighted-unweighted median phecode prevalence ratio [MPR]: 0.82 and 0.61), while UKB's estimates increased (MPR: 1.06). Weighting minimally impacted latent phenome dimensionality estimation. Comparing weighted versus unweighted PheWAS for colorectal cancer, the strongest associations remained unaltered and there was large overlap in significant hits. Weighting affected the estimated log-odds ratio for sex and colorectal cancer to align more closely with national registry-based estimates. Discussion: Weighting had limited impact on dimensionality estimation and large-scale hypothesis testing but impacted prevalence and association estimation more. Results from untargeted association analyses should be followed by weighted analysis when effect size estimation is of interest for specific signals. Conclusion: EHR-linked biobanks should report recruitment and selection mechanisms and provide selection weights with defined target populations. Researchers should consider their intended estimands, specify source and target populations, and weight EHR-linked biobank analyses accordingly.

A large pulmonary nodule in a rheumatoid arthritis patient treated with tofacitinib.

Pulmonary rheumatoid nodules are rare extra-articular manifestations of rheumatoid arthritis (RA). They are usually asymptomatic but may form cavities and cause clinical symptoms. These nodules are difficult to differentiate clinically and radiologically from tuberculosis, fungal infection, or lung malignancies. Histopathological studies help in the differential diagnosis of pulmonary nodules in patients with RA; however, an effective treatment for rheumatoid lung nodules has not yet been established. This study reports a case of active RA with interstitial lung disease and a large inflammatory lung nodule that was improved with tofacitinib treatment.

Efficacy and safety of intravenous belimumab in a subgroup of South Korean patients with systemic lupus erythematosus enrolled into a Phase 3, randomized, placebo-controlled trial in North East Asia.

AIM: This post hoc analysis evaluated the efficacy and safety of intravenous belimumab 10 mg/kg in the South Korean subgroup of patients with systemic lupus erythematosus (SLE) enrolled in the North East Asia (NEA) study (GSK Study BEL113750; NCT01345253). METHODS: NEA was a double-blind, placebo-controlled, randomized Phase 3 trial. Patients with active, autoantibody-positive SLE were randomized 2:1 to belimumab or placebo plus standard therapy administered on Days 0, 14, and 28, and then every 28 days up to Week 48. The primary efficacy endpoint in this analysis was SLE Responder Index 4 (SRI-4) response rate at Week 52, defined as the proportion of patients achieving a ≥4-point reduction in Safety of Estrogens in Lupus Erythematosus National Assessment-SLE Disease Activity Index (SELENA-SLEDAI) score, no worsening (<0.3 increase from baseline) in Physician Global Assessment, no new British Isles Lupus Assessment Group (BILAG) A domain and <2 new BILAG B domain scores. RESULTS: Among 100 South Korean patients enrolled in NEA, 54/66 (81.8%) belimumab- and 24/34 (70.6%) placebo-treated patients completed the double-blind phase. Significantly more belimumab- than placebo-treated patients achieved SRI-4 response at Week 52 (n = 35/66, 53.0% vs. n = 8/34, 23.5%; odds ratio [OR; 95% confidence interval (CI)]: 3.67 [1.45, 9.28]; p = .0061). The proportion of patients experiencing ≥1 adverse event was similar between groups (belimumab: n = 60/66, 90.9% vs. placebo: n = 31/34, 91.2%). No new safety signals emerged in this subgroup analysis. CONCLUSION: Belimumab was efficacious for the treatment of SLE and well tolerated among the South Korean subgroup of patients from the NEA study.

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks.

OBJECTIVE: To overcome the limitations associated with the collection and curation of COVID-19 outcome data in biobanks, this study proposes the use of polygenic risk scores (PRS) as reliable proxies of COVID-19 severity across three large biobanks: the Michigan Genomics Initiative (MGI), UK Biobank (UKB), and NIH All of Us. The goal is to identify associations between pre-existing conditions and COVID-19 severity. METHODS: Drawing on a sample of more than 500,000 individuals from the three biobanks, we conducted a phenome-wide association study (PheWAS) to identify associations between a PRS for COVID-19 severity, derived from a genome-wide association study on COVID-19 hospitalization, and clinical pre-existing, pre-pandemic phenotypes. We performed cohort-specific PRS PheWAS and a subsequent fixed-effects meta-analysis. RESULTS: The current study uncovered 23 pre-existing conditions significantly associated with the COVID-19 severity PRS in cohort-specific analyses, of which 21 were observed in the UKB cohort and two in the MGI cohort. The meta-analysis yielded 27 significant phenotypes predominantly related to obesity, metabolic disorders, and cardiovascular conditions. After adjusting for body mass index, several clinical phenotypes, such as hypercholesterolemia and gastrointestinal disorders, remained associated with an increased risk of hospitalization following COVID-19 infection. CONCLUSION: By employing PRS as a proxy for COVID-19 severity, we corroborated known risk factors and identified novel associations between pre-existing clinical phenotypes and COVID-19 severity. Our study highlights the potential value of using PRS when actual outcome data may be limited or inadequate for robust analyses.

Factors for achieving target serum uric acid levels after initiating urate-lowering therapy in patients with gout: results from the ULTRA registry.

Achieving target serum uric acid (SUA) levels is important in gout management. Guidelines recommend lowering SUA levels to < 6 mg/dL; however, many patients fail to reach this target, even with uric acid-lowering therapy (ULT). This study investigated clinical characteristics of target SUA achievers among Korean patients with gout. This study used data from the ULTRA registry, a nationwide inception cohort established in September 2021 that enrolls patients with gout who initiate ULT. Demographic, clinical, and laboratory data were collected at baseline; the 6-month follow-up. Patients were divided into two groups: target achievers (SUA level < 6 mg/dL at 6 months) and non-achievers. The mean participant (N = 117) age was 56.1 years, and 88.0% were male. At 6 months, 83 patients (70.9%) reached target SUA levels. Target achievers had better drug adherence (≥ 80%) to ULT (97.6% vs. 76.5%; p < 0.01) than non-achievers. Target non-achievers had a higher percentage of a family history of gout (32.4% vs. 10.8%; p < 0.01) and less antihypertensive agent use (38.2% vs. 59.0%; p = 0.03) than target achievers. Multivariate regression analysis revealed that good adherence to ULT, the absence of a family history of gout, and antihypertensive agent use were key factors associated with achieving target SUA levels at 6 months.

A Case of Palisaded Neutrophilic and Granulomatous Dermatitis Associated with an Initial Presentation in Ankylosing Spondylitis.

Palisaded neutrophilic and granulomatous dermatitis (PNGD) is an inflammatory dermatosis associated with systemic immune-mediated diseases such as rheumatoid arthritis, systemic sclerosis, lupus erythematosus, and ulcerative colitis. Histologically, serial development of leukocytoclastic vasculitis is shown from an early stage, which can progress to palisading granuloma in the fully developed stage and to fibrosis in the final stage. A 32-year-old man presented with ankylosing spondylitis showing multiple erythematous papules on his fingers, elbows, knees, and left auricle. Histologic examination from his skin lesion revealed a perforating palisading granuloma with leukocytoclastic vasculitis, which was consistent with PNGD. Therefore, this study reported a case of PNGD accompanied by ankylosing spondylitis as an initial presentation.

Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores.

Genome-wide association studies (GWASs) have been mostly conducted in populations of European ancestry, which currently limits the transferability of their findings to other populations. Here, we show, through theory, simulations and applications to real data, that adjustment of GWAS analyses for polygenic scores (PGSs) increases the statistical power for discovery across all ancestries. We applied this method to analyze seven traits available in three large biobanks with participants of East Asian ancestry (n = 340,000 in total) and report 139 additional associations across traits. We also present a two-stage meta-analysis strategy whereby, in contributing cohorts, a PGS-adjusted GWAS is rerun using PGSs derived from a first round of a standard meta-analysis. On average, across traits, this approach yields a 1.26-fold increase in the number of detected associations (range 1.07- to 1.76-fold increase). Altogether, our study demonstrates the value of using PGSs to increase the power of GWASs in underrepresented populations and promotes such an analytical strategy for future GWAS meta-analyses.

Proteome-Wide Association Studies for Blood Lipids and Comparison with Transcriptome-Wide Association Studies.

Blood lipid traits are treatable and heritable risk factors for heart disease, a leading cause of mortality worldwide. Although genome-wide association studies (GWAS) have discovered hundreds of variants associated with lipids in humans, most of the causal mechanisms of lipids remain unknown. To better understand the biological processes underlying lipid metabolism, we investigated the associations of plasma protein levels with total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL) in blood. We trained protein prediction models based on samples in the Multi-Ethnic Study of Atherosclerosis (MESA) and applied them to conduct proteome-wide association studies (PWAS) for lipids using the Global Lipids Genetics Consortium (GLGC) data. Of the 749 proteins tested, 42 were significantly associated with at least one lipid trait. Furthermore, we performed transcriptome-wide association studies (TWAS) for lipids using 9,714 gene expression prediction models trained on samples from peripheral blood mononuclear cells (PBMCs) in MESA and 49 tissues in the Genotype-Tissue Expression (GTEx) project. We found that although PWAS and TWAS can show different directions of associations in an individual gene, 40 out of 49 tissues showed a positive correlation between PWAS and TWAS signed p-values across all the genes, which suggests a high-level consistency between proteome-lipid associations and transcriptome-lipid associations.

Analysis of appropriate duration of colchicine prophylaxis to maximize the persistence of xanthine oxidase inhibitors as the first-line urate-lowering therapy in patients with gout using the Korean Health Insurance Review and Assessment Service database.

INTRODUCTION: We investigated the appropriate duration of colchicine prophylaxis to maximize the persistence of xanthine oxidase inhibitors (XOIs) as first-line urate-lowering therapy (ULT) in patients with gout. This was a nationwide population-based retrospective cohort study using the Korean Health Insurance Review and Assessment database. METHODS: Patients with gout aged ≥20 years who were newly initiated on XOIs, such as allopurinol or febuxostat, from July 2015 to June 2017 and received these medications for ≥6 months were analyzed and followed up until June 2019. Persistence of XOIs was compared according to the 6-month duration of colchicine prophylaxis. For additional subgroup analysis, we also compared the persistence of XOIs according to the 3-month duration of colchicine prophylaxis. RESULTS: This study included 43 926 patients. The frequencies of patients with gout receiving colchicine prophylaxis for ≥6 months and ≥3 months were 6.3% and 7.6%, respectively. Allopurinol (65.2%) was prescribed more frequently than febuxostat (34.8%). During the study period, 23 475 patients (53.4%) stopped using XOIs. Colchicine prophylaxis for ≥6 months did not significantly reduce the risk of XOI discontinuation in multivariable Cox regression models. Colchicine prophylaxis for ≥3 months was significantly associated with a lower risk of non-persistence to XOIs after adjusting for confounding factors (hazard ratio = 0.95, p = .041). CONCLUSION: Our data suggest that at least 3 months of colchicine prophylaxis may be more appropriate than at least 6 months in terms of maximizing the persistence of XOIs in patients with gout.

FAT10 differentially stabilizes MYPT2 isoforms.

Myosin phosphatase (MP) is an enzyme complex that regulates muscle contraction and plays important roles in various physiological and pathological conditions. Myosin phosphatase targeting subunit (MYPT) 2, a subunit of MP, interacts with protein phosphatase 1c to regulate its phosphatase activity. MYPT2 exists in various isoforms that differ in the composition of essential motifs that contribute to its function. However, regulatory mechanisms underlying these isoforms are poorly understood. Human leukocyte antigen-F adjacent transcript 10 (FAT10) is a ubiquitin-like modifier that not only targets proteins for proteasomal degradation but also stabilizes its interacting proteins. In this study, we investigated the effect of the interaction between FAT10 and MYPT2 isoform a (the canonical full-length form of MYPT2) or MYPT2 isoform f (the natural truncated form of MYPT2). FAT10 interacted with both MYPT2 isoforms a and f; however, only MYPT2 isoform f was increased by FAT10, whereas MYPT2 isoform a remained unaffected by FAT10. We further confirmed that, in contrast to MYPT2 isoform a, MYPT2 isoform f undergoes rapid degradation via the ubiquitin-proteasome pathway and that FAT10 stabilizes MYPT2 isoform f by inhibiting its ubiquitination. Therefore, our findings suggest that the interaction between FAT10 and MYPT2 isoforms leads to distinct stabilization effects on each isoform, potentially modulating MP activity.

Exosomal hsa-miR-335-5p and hsa-miR-483-5p are novel biomarkers for rheumatoid arthritis: A development and validation study.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes cartilage and bone damage. Exosomes are small extracellular vesicles that play a critical role in intercellular communication and various biological processes by serving as vehicles for the transfer of diverse molecules, such as nucleic acids, proteins, and lipids, between cells. The purpose of this study was to develop potential biomarkers for RA in peripheral blood by performing small non-coding RNA (sncRNA) sequencing using circulating exosomes from healthy controls and patients with RA. METHODS: In this study, we investigated extracellular sncRNAs associated with RA in peripheral blood. Using RNA sequencing and differentially expressed sncRNA analysis, we identified a miRNA signature and target genes. Target gene expression was validated via the four GEO datasets. RESULTS: Exosomal RNAs were successfully isolated from the peripheral blood of 13 patients with RA and 10 healthy controls. The hsa-miR-335-5p and hsa-miR-486-5p expression levels were higher in patients with RA than in controls. We identified the SRSF4 gene, which is a common target of hsa-miR-335-5p and hsa-miR-483-5p. As expected, the expression of this gene was found to be decreased in the synovial tissues of patients with RA through external validation. In addition, hsa-miR-335-5p was positively correlated with antiCCP, DAS28ESR, DAS28CRP, and rheumatoid factor. CONCLUSIONS: Our results provide strong evidence that circulating exosomal miRNA (hsa-miR-335-5p and hsa-miR-486-5p) and SRSF4 could be valuable biomarkers for RA.

Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction.

Background: Genetic variants can contribute differently to trait heritability by their functional categories, and recent studies have shown that incorporating functional annotation can improve the predictive performance of polygenic risk scores (PRSs). In addition, when only a small proportion of variants are causal variants, PRS methods that employ a Bayesian framework with shrinkage can account for such sparsity. It is possible that the annotation group level effect is also sparse. However, the number of PRS methods that incorporate both annotation information and shrinkage on effect sizes is limited. We propose a PRS method, PRSbils, which utilizes the functional annotation information with a bilevel continuous shrinkage prior to accommodate the varying genetic architectures both on the variant-specific level and on the functional annotation level. Results: We conducted simulation studies and investigated the predictive performance in settings with different genetic architectures. Results indicated that when there was a relatively large variability of group-wise heritability contribution, the gain in prediction performance from the proposed method was on average 8.0% higher AUC compared to the benchmark method PRS-CS. The proposed method also yielded higher predictive performance compared to PRS-CS in settings with different overlapping patterns of annotation groups and obtained on average 6.4% higher AUC. We applied PRSbils to binary and quantitative traits in three real world data sources (the UK Biobank, the Michigan Genomics Initiative (MGI), and the Korean Genome and Epidemiology Study (KoGES)), and two sources of annotations: ANNOVAR, and pathway information from the Kyoto Encyclopedia of Genes and Genomes (KEGG), and demonstrated that the proposed method holds the potential for improving predictive performance by incorporating functional annotations. Conclusions: By utilizing a bilevel shrinkage framework, PRSbils enables the incorporation of both overlapping and non-overlapping annotations into PRS construction to improve the performance of genetic risk prediction. The software is available at https://github.com/styvon/PRSbils.