Early Diagnosis Of Rheumatoid Arthritis Research Articles

Serum and urine lipidomic profiles identify biomarkers diagnostic for seropositive and seronegative rheumatoid arthritis

ObjectiveSeronegative rheumatoid arthritis (RA) is defined as RA without circulating autoantibodies such as rheumatoid factor and anti-citrullinated protein antibodies; thus, early diagnosis of seronegative RA can be challenging. Here, we aimed to identify diagnostic biomarkers for seronegative RA by performing lipidomic analyses of sera and urine samples from patients with RA.MethodsWe performed untargeted lipidomic analysis of sera and urine samples from 111 RA patients, 45 osteoarthritis (OA) patients, and 25 healthy controls (HC). These samples were divided into a discovery cohort (n = 97) and a validation cohort (n = 84). Serum samples from 20 patients with systemic lupus erythematosus (SLE) were also used for validation.ResultsThe serum lipidome profile of RA was distinguishable from that of OA and HC. We identified a panel of ten serum lipids and three urine lipids in the discovery cohort that showed the most significant differences. These were deemed potential lipid biomarker candidates for RA. The serum lipid panel was tested using a validation cohort; the results revealed an accuracy of 79%, a sensitivity of 71%, and a specificity of 86%. Both seropositive and seronegative RA patients were differentiated from patients with OA, SLE, and HC. Three urinary lipids showing differential expression between RA from HC were identified with an accuracy of 84%, but they failed to differentiate RA from OA. There were five lipid pathways that differed between seronegative and seropositive RA.ConclusionHere, we identified a panel of ten serum lipids as potential biomarkers that can differentiate RA from OA and SLE, regardless of seropositivity. In addition, three urinary lipids had diagnostic utility for differentiating RA from HC.

A bibliometric analysis of miRNAs in rheumatoid arthritis from 2001 to 2022: Research hotspots and trends.

MicroRNAs (miRNAs) are widely recognized in the pathogenesis of autoimmune disease. As a key regulatory factor, miRNAs have introduced new biomarkers for the early diagnosis of rheumatoid arthritis (RA) and provided a favorable research direction for the development of novel therapeutic targets. This study aimed to explore the hotspots of miRNA research related to RA published from different countries, organizations, and authors. From 2001 to 2022, publications on miRNA related to RA were identified in the Web of Science database. The total and annual number of publishments, citations, impact factor, H-index, productive authors, and involved journals were collected for quantitative and qualitative comparisons. A total of 29 countries/regions in the world have participated in the research of miRNAs and RA over the past two decades, and China (760, 53.18%) and the United States (233, 16.31%) account for the majority of the total publications. China dominated in total citation (17881) and H-index (62). A total of 507 academic journals have published articles in related fields, and Frontiers in Immunology published the most (53, 3.71%). Chih-hsin Tang of the China Medical University has published the most papers (16, 1.2%). Stanczyk (2008) published the most cited article Altered expression of miRNAs in synovial fibroblasts and synovial tissue in rheumatoid arthritis in Arthritis and Rheumatism, with 660 citations. Inflammation is the high-frequency keyword outside of RA and miRNAs, and related researches have mainly focused on miR-146a and miR-155. In the past two decades, extensive and continuous research has been conducted to investigate the role of miRNAs in RA, and miRNAs are widely recognized in the pathogenesis of RA. Related research has mainly focused on miR-146a and miR-155 that have shown promising results as key factors in RA experimental models. Focusing on clinical applications and translational research may be the future research direction and hotspot based on molecular biology basic research and mechanism exploration.

Dual-Channel/Localization Single-Molecule Fluorescence Probe for Monitoring ATP and HOCl in Early Diagnosis and Therapy of Rheumatoid Arthritis.

Rheumatoid arthritis (RA), a common chronic inflammatory illness, is still incurable, reducing the sufferers' quality of life significantly. Adenosine 5'-triphosphate (ATP) and hypochlorous acid (HOCl) are key indicators in RA, but their precise mechanisms in RA pathophysiology are unknown. As a result, in order to detect ATP and HOCl simultaneously, we created two new dual-channel/localization single-molecule fluorescence probes, RhTNMB and RhFNMB. Furthermore, RhFNMB outperformed RhTNMB in terms of detection performance. ATP and HOCl produce independent fluorescence responses in the light red channel (λex = 520 nm, λem = 586 nm) and deep red channel (λex = 620 nm, λem = 688 nm), respectively, without spectral crosstalk. It should be noted that the probe RhFNMB successfully imaged ATP in mitochondria and HOCl in cells. Surprisingly, the probe RhFNMB demonstrated remarkable detection ability in the diagnosis and treatment of Pseudomonas aeruginosa-induced abdominal inflammation in mice. We continued to apply the probe RhFNMB to track ATP and HOCl in RA and discovered that ATP and HOCl concentrations were considerably greater in RA joints than in normal joints. We also confirmed the therapeutic effect of methotrexate on RA. This study is the first to achieve dual-channel imaging of ATP and HOCl, which is of great value for the early diagnosis and therapy of RA.

Relationship Between the Lipidome Profile and Disease Activity in Patients with Rheumatoid Arthritis.

Lipid mediators have been suggested to play important roles in the pathogenesis of rheumatoid arthritis (RA). Lipidomics has recently allowed for the comprehensive analysis of lipids and has revealed the potential of lipids as biomarkers for the early diagnosis of RA and prediction of therapeutic responses. However, the relationship between disease activity and the lipid profile in RA remains unclear. In the present study, we performed a plasma lipidomic analysis of 278 patients with RA during treatment and examined relationships with disease activity using the Disease Activity Score in 28 joints (DAS28)-erythrocyte sedimentation rate (ESR). In all patients, five lipids positively correlated and seven lipids negatively correlated with DAS28-ESR. Stearic acid [FA(18:0)] (r = -0.45) and palmitic acid [FA(16:0)] (r = -0.38) showed strong negative correlations. After adjustments for age, body mass index (BMI), and medications, stearic acid, palmitic acid, bilirubin, and lysophosphatidylcholines negatively correlated with disease activity. Stearic acid inhibited osteoclast differentiation from peripheral blood monocytes in in vitro experiments, suggesting its contribution to RA disease activity by affecting bone metabolism. These results indicate that the lipid profile correlates with the disease activity of RA and also that some lipids may be involved in the pathogenesis of RA.

Validation of new immune and inflammation-related diagnostic biomarkers for RA.

Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease, whose development is associated with immune cells and persistent inflammation. Exploring the biomarkers of RA holds immense significance in terms of the prevention, diagnosis, and treatment of RA. The differentially expressed genes (DEGs) in RA patients and the control group were screened by limma package. Through DEGs intersection overlapping 200 inflammatory response-related genes and 2498 immune-related genes, differentially expressed immune and inflammation-related genes (DE-IIRGs) were identified. Lasso regression analysis screened RA diagnostic biomarkers and constructed PPI networks. Finally, immune infiltration analysis and drug prediction were performed. A total of 20 DE-IIRGs were identified by overlapping DEGs with 2498 immune-related genes and 200 inflammatory response-related genes. These DE-IIRGs were primarily enriched in the cytokine-cytokine receptor interaction and other biological processes, and then five biomarker genes (TNFSF10, IL1R1, CXCL9, ACVR1B, and IL15) were identified. It was found that the expression levels of CXCL9, IL15, and TNFSF10 in the disease samples were significantly higher than those in the control group. These biomarker genes have more effective diagnostic potential. The RA samples exhibited significantly higher levels of cell infiltration compared to the control samples. hsa-miR-199a-5p's connections to the ACVR1B and CCR7 genes were identified by creating ceRNA networks from 20 screened DE-IIRGs. There was a connection between CCL5 and AEMA4D and hsa-miR-214-3p. We identified immune- and inflammation-related biomarkers in RA based on bioinformatics analysis and screened TNFSF10, IL1R1, CXCL9, ACVR1B, and IL15 as diagnostic markers for RA. Key Points • TNFSF10, IL1R1, CXCL9, ACVR1B, and IL15 may be new diagnostic biomarkers for RA. • These findings may provide a theoretical basis for early RA diagnosis.

Characteristics of patients presenting with concomitant carpal tunnel syndrome at the initial diagnosis with rheumatoid arthritis.

To investigate the clinical characteristics of patients who presented with concomitant carpal tunnel syndrome (CTS) at the initial diagnosis with rheumatoid arthritis (RA). We analyzed patients with newly diagnosed RA at a single institution between 2012 and 2021. Patient demographic and laboratory data, the 2010 ACR/EULAR classification criteria, and the duration from the initial visit to RA diagnosis were compared between RA patients with concomitant CTS (RA with CTS group) and those without CTS (RA without CTS group). The study included 235 patients (157 females), of which 11 patients (4.7%) presented with CTS at the initial diagnosis with RA. In the RA with CTS group, the age was significantly higher (P = .033), all patients were female, and anti-cyclic citrullinated peptide antibody (ACPA) was negative, and the duration to RA diagnosis was longer than in the RA without CTS group. Among all RA with CTS patients, ultrasonography showed power Doppler signal-positive tenosynovitis in the carpal tunnel, which is not usually detected in idiopathic CTS. Patients with concomitant CTS at the initial diagnosis with RA were characterized by old age, female sex, and negative ACPA. Patients with symptoms of CTS should undergo ultrasonography for early diagnosis of RA.

Demographic, Clinical Profile of Rheumatoid Arthritis Patients and Their Association with Disease Severity in Ghana.

Rheumatoid arthritis (RA) is one of the frequent chronic, systemic, inflammatory autoimmune disorders with an estimated global prevalence of 1%. RA leads to joint destruction and disability if left untreated. Ghana has seen very few studies on RA, and little is known about the disease's severity and related variables. This study sought to characterize the clinical presentation and determine disease severity and associated risk factors with disease severity among RA patients in a tertiary hospital in Ghana. This cross-sectional study was conducted between September 2020 and August 2021. This study included 56 consecutively consenting RA patients from the Komfo Anokye Teaching Hospital orthopaedic unit. Diagnosis of RA was based on the updated American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) 2022 rheumatoid arthritis classification criteria by a rheumatologist. A study questionnaire was used to gather participant demographics and clinical features, and results from the laboratory were taken from the patients' charts and medical records. The patients' disease severity was evaluated based on the rheumatoid arthritis disease activity score, which is based on a 28-joint count (DAS28), and their functioning was evaluated using the modified health assessment questionnaire. The participants' mean age was 51.25 ± 13.22 years. Out of the total participants, 46 were females, and 10 were males (female-to-male ratio 4.6 : 1). Moreover, 37.50% had arthritis of the hand; 5.30% had severe disease, and 94.60% were not severe. A majority (76.80%) were on methotrexate medication. The most frequently involved joints were the knee (42.90%), wrist (32.10%), and elbow (12.50%). There was no statistically significant association with disease severity and a functional status score of >0.5 (cOR: 10.60, 95% CI (0.52-217.30); p = 0.124). In addition, marital status (p = 0.04), disease duration (p = 0.04), family complaints (p = 0.02), and ESR (p = 0.03) were significantly associated with disease severity. RA is predominant among elder populations and females. Disease duration, family complaints, and ESR are associated with disease severity. The findings of this study call for interventions towards ensuring early diagnosis of RA among high-risk populations to enhance good management practices.

Efficacy and safety of the modified Zhiwang decoction combined with methotrexate in early rheumatoid arthritis: study protocol for a randomised controlled trial

IntroductionRheumatoid arthritis (RA) is a progressive inflammatory autoimmune disease characterised by chronic systemic inflammation, which can cause swelling, stiffening and destruction of articular cartilage and bone. Early diagnosis and treatment...

Implementation of artificial intelligence models in magnetic resonance imaging with focus on diagnosis of rheumatoid arthritis and axial spondyloarthritis: narrative review.

Early diagnosis in rheumatoid arthritis (RA) and axial spondyloarthritis (axSpA) is essential to initiate timely interventions, such as medication and lifestyle changes, preventing irreversible joint damage, reducing symptoms, and improving long-term outcomes for patients. Since magnetic resonance imaging (MRI) of the wrist and hand, in case of RA and MRI of the sacroiliac joints (SIJ) in case of axSpA can identify inflammation before it is clinically discernible, this modality may be crucial for early diagnosis. Artificial intelligence (AI) techniques, together with machine learning (ML) and deep learning (DL) have quickly evolved in the medical field, having an important role in improving diagnosis, prognosis, in evaluating the effectiveness of treatment and monitoring the activity of rheumatic diseases through MRI. The improvements of AI techniques in the last years regarding imaging interpretation have demonstrated that a computer-based analysis can equal and even exceed the human eye. The studies in the field of AI have investigated how specific algorithms could distinguish between tissues, diagnose rheumatic pathology and grade different signs of early inflammation, all of them being crucial for tracking disease activity. The aim of this paper is to highlight the implementation of AI models in MRI with focus on diagnosis of RA and axSpA through a literature review.

Anti-citrullinated α-enolase peptide as a highly sensitive autoantigen in patients with rheumatoid arthritis

Rheumatoid arthritis (RA) is the most common autoimmune rheumatic disease in Taiwan. Anti-cyclic citrullinated peptide (anti-CCP) assay is widely used for RA diagnosis; however, not all anti-CCPs are detectable in RA-joint lesions. Citrullinated α-enolase peptide (CEP), which has a unique immunodominant epitope, can be detected in synovial fluid. Here, we aimed to evaluate the potential of anti-CEP as a serologic marker for the early diagnosis of RA and a prognostic predictor of joint destruction. We also determined the association of single-nucleotide polymorphisms (SNPs) in genes with the serological status and clinical characteristics of RA. Clinical records of 30 patients with RA were collected, and their serum and DNA samples were evaluated using enzyme-linked immunosorbent assay (ELISA) and SNP cross-reaction analysis. A considerable amount of anti-CEP was detected in patients with RA, a trend similar to that of anti-CCP. Moreover, anti-CEP was considerably associated with the protein-arginine deiminase type-2 SNP rs1005753.

Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning

ObjectiveRheumatoid arthritis and Ankylosing spondylitis are two common autoimmune inflammatory rheumatic diseases that negatively affect activities of daily living and can lead to structural and functional disability, reduced quality of life. Here, this study utilized Fourier transform infrared (FTIR) spectroscopy on dried serum samples and achieved early diagnosis of rheumatoid arthritis and ankylosing spondylitis based on deep learning models. MethodA total of 243 dried serum samples were collected in this study, including 81 samples each from ankylosing spondylitis, rheumatoid arthritis, and healthy controls. Three multi-scale convolutional modules with different specifications were designed based on the multi-scale convolutional neural network (MSCNN) to effectively fuse the local features to enhance the generalization ability of the model. The FTIR was then combined with the MSCNN model to achieve a non-invasive, fast, and accurate diagnosis of ankylosing spondylitis, rheumatoid arthritis, and healthy controls. ResultsSpectral analysis shows that the curves and waveforms of the three spectral graphs are similar. The main differences are distributed in the spectral regions of 3300–3250 cm−1, 3000–2800 cm−1, 1750–1500 cm−1, and 1500–1300 cm−1, which represent: Amides, fatty acids, cholesterol, proteins with a carboxyl group, amide II, free amino acids, and polysaccharides. Four classification models, namely artificial neural network (ANN), convolutional neural network (CNN), improved AlexNet model, and multi-scale convolutional neural network (MSCNN) were established. Through comparison, it was found that the diagnostic AUC value of the MSCNN model was 0.99, and the accuracy rate was as high as 0.93, which was much higher than the other three models. ConclusionThe study demonstrated the superiority of MSCNN in distinguishing ankylosing spondylitis from rheumatoid arthritis and healthy controls. FTIR may become a rapid, sensitive, and non-invasive means of diagnosing rheumatism.

Rheumatoid Arthritis: Current and Emerging Paradigms of Diagnosis and Treatment

Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by inflammation and damage to joints andtissues. While previous reviews exist, there still needs to be more in understanding risk factors, diagnostic methods, and treatmentoptions. This review aims to fill these gaps by providing a comprehensive overview of recent advancements in the field. To addressthe limitations of previous reviews, this article incorporates updated information on risk factors, including the influence ofenvironmental factors in industrialized nations. It highlights the significance of early RA diagnosis and emphasizes the utility ofdynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for effective disease management. Moreover, this reviewintroduces innovative nanotechnology-based treatment approaches for RA. It explores the potential of gold nanoparticles, carbonnanotubes, polymer-based nanomedicine, and nanoliposomes in targeting specific inflammatory sites and improving treatmenteffectiveness. This review aims to present an up-to-date and comprehensive analysis of RA, bridging gaps in previous literature byintroducing novel diagnostic techniques and exploring emerging treatment modalities. By synthesizing current knowledge andoutlining future research prospects, this review aims to advance the understanding and treatment of rheumatoid arthritis.Additionally, this review discusses the systemic complications associated with RA, such as rheumatoid vasculitis and Feltysyndrome. It also sheds light on the long-term consequences of untreated RA, including the potential need for joint replacementsurgery (arthroplasty) and splenectomy. By providing a comprehensive analysis of these aspects, this review aims to enhance theholistic understanding of RA and guide future research toward improved management and patient outcomes.

The Diagnostic Significance of Serum Sclerostin in Early Detection of Rheumatoid Arthritis in Syrian Patients

Background: Rheumatoid arthritis (RA) is associated with joint deformities and local bone erosions. Sclerostin is an inhibitor of the Wnt pathway and drives to reduce bone formation. Aims: Our study aimed to compare the diagnostic significance of sclerostin with anti-CCP (anti-cyclic citrullinated peptide; normal level<20 IU/ml, and rheumatoid factor (RF; normal level<16 IU/ml) for the early diagnosis of rheumatoid arthritis in Syrian patients. Methods: This study contained fifty-eight RA patients and thirty healthy individuals who were equally age- and sex-matched. Serum sclerostin and serum anti-CCP (IgG) levels were evaluated by using the enzyme-linked immunosorbent assay (ELISA). RA activity was assessed based on disease activity scores (DAS28). Results: Our results indicated that serum levels of sclerostin levels were higher in the RA group than in the healthy group (p<0.001). There was a positive correlation between serum sclerostin and DAS28-ESR (r=0.413, p=0.001). By ROC curve, the most optimal cut-off value of sclerostin was 249.69 pg/ml (AUC was 0.910 with 95% confidence interval (CI) values (0.852-0.969), sensitivity of 87.9%, and specificity of 93.3%) [Odds Ratio (OR) and P-value: 102, P< 0.0001]. In RA patients, the sensitivity and specificity of anti-CCP were 74.1% and 90%, and 70.6% and 86.6% of RF, respectively. Conclusion: Increased serum sclerostin may aid as a new prognostic biomarker for evaluating the activity of RA. Sclerostin showed higher sensitivity and specificity than anti-CCP and RF-IgM antibodies. Therefore, sclerostin is a sensitive and specific biomarker for early diagnosis of rheumatoid arthritis.

Is rheumatoid arthritis a neglected comorbidity in neurofibromatosis type 1?

Aims: Neurofibromatosis type 1 (NF-1) is a relatively rare disorder with autosomal dominant inheritance. Despite current reports highlighting the association between NF-1 and some rheumatic diseases (e.g., systemic lupus erythematosus, juvenile idiopathic arthritis, ankylosing spondylitis, and antiphospholipid antibody syndrome), the literature seems to have missed focusing on its relationship with rheumatological disorders. Hence, the present study attempted to explore definite NF-1 molecular genetic mutation in association with accompanying rheumatic diseases, particularly rheumatoid arthritis.
 Methods: The patients (n=23) aged 18 years who were diagnosed with NF-1 genetic mutation between 2010-2022 in the medical genetics department of our university were recruited for medical examination regarding rheumatic disorders in our rheumatology outpatient clinic. 
 Results: There were a total of 23 patients in this study, 14 (60.9%) males and 9 (39.1%) females, with a mean age of 27.4±9.2 years (18-51 years). As a result, 4 (17.3%) patients were diagnosed with rheumatoid arthritis (RA), 3 with seropositive RA, and one with seronegative RA. Of the diagnoses, two were established RA, and two were early RA. All patients with RA had a positive metacarpophalangeal joint (MCP) squeeze test and experienced pain in bilateral hands and wrists and morning stiffness for more than 45 min.
 Conclusion: While the community prevalence of RA is about 1%, it is noteworthy that we detected RA in 17.3% of our patients. In the follow-up of patients with NF-1, routine examinations for pain in bilateral hands and wrists, morning stiffness over 45 minutes, and positivity of the MCP squeeze test are thought to allow early diagnosis of RA and, thus, relevant therapies.

A serum metabolic biomarker panel for early rheumatoid arthritis.

There is an urgent need for novel biomarkers to improve the early diagnosis of rheumatoid arthritis (ERA). Current serum biomarkers used in the management of ERA, including rheumatoid factor and anti-cyclic citrullinated peptide (ACPA), show limited specificity and sensitivity. Here, we used metabolomics to uncover new serum biomarkers of ERA. We applied an untargeted metabolomics approach including gas chromatography time-of-flight mass spectrometry in serum samples from an ERA cohort (n=32) and healthy controls (n=19). Metabolite set enrichment analysis was performed to explore potentially important biological pathways. Partial least squares discriminant analysis and variable importance in projection analysis were performed to construct an ERA biomarker panel. Significant differences in the content of 11/81 serum metabolites were identified in patients with ERA. Receiver operating characteristic (ROC) analysis showed that a panel of only three metabolites (glyceric acid, lactic acid, and 3-hydroxisovaleric acid) could correctly classify 96.7% of patients with ERA, with an area under the ROC curve of 0.963 and with 94.4% specificity and 93.5% sensitivity, outperforming ACPA-based diagnosis by 2.9% and, thus, improving the preclinical detection of ERA. Aminoacyl-tRNA biosynthesis and serine, glycine, and phenylalanine metabolism were the most significant dysregulated pathways in patients with ERA. A metabolomics serum-based biomarker panel composed of glyceric acid, lactic acid, and 3-hydroxisovaleric acid offers potential for the early clinical diagnosis of RA.

Predictive Value of Magnetic Resonance Imaging-detected Tenosynovitis of the Metacarpophalangeal and Wrist Joints for the Development of Rheumatoid Arthritis among Patients with Undifferentiated Arthritis.

Objective The early diagnosis of rheumatoid arthritis (RA) improves disease outcomes. Using bilateral magnetic resonance imaging (MRI), we investigated whether or not tenosynovitis at the level of the metacarpophalangeal (MCP) and wrist joints, as well as non-symmetrical versus symmetrical involvement, predicts RA development in undifferentiated arthritis (UA) patients. Methods We collected the clinical and serological findings as well as bilateral gadolinium-enhanced 1.5-T MRI data of UA patients after 1 year. A multivariate logistic regression analysis was used to determine the association of tenosynovitis in UA with RA development. Patients and Materials Ninety-one UA patients from the Nagasaki Early Arthritis Clinic who did not meet the 2010 European League Against Rheumatism/American College of Rheumatology classification criteria for RA were selected. Tenosynovitis at the MCP and wrist joints was scored according to the RA MRI scoring system. Results Of these 91 UA patients, 29 (31.9%) progressed to RA, with a median disease duration of 3 months, despite only 10.9% being positive for anti-cyclic citrullinated peptide antibody (ACPA). A univariate analysis showed higher MCP tenosynovitis scores, MCP flexor tenosynovitis, and symmetrical MCP tenosynovitis in the RA development group than in the non-development group (p <0.05). A multivariate analysis showed that symmetrical MCP tenosynovitis was independently associated with RA development after adjusting for age, gender, swollen joint count, C-reactive protein level, and ACPA positivity (odds ratio: 4.96). The presence of symmetrical MCP tenosynovitis had low sensitivity (35%) but high specificity (87%) for RA development. Conclusion MRI-detected tenosynovitis, especially symmetrical findings at the MCP joint, is predictive of RA development in a UA population with low ACPA positivity.

The impact of the COVID-19 pandemic on referrals to musculoskeletal services from primary care and subsequent incidence of inflammatory rheumatic musculoskeletal disease: an observational study.

The aim was to describe the impact of the COVID-19 pandemic upon referral patterns and incident diagnosis of inflammatory rheumatic and musculoskeletal diseases (iRMDs). UK primary care data were used to describe referral patterns for patients with musculoskeletal conditions. Trends in referrals to musculoskeletal services and incident diagnoses of iRMDs (specifically, RA and JIA) were described using Joinpoint Regression and comparisons made between key pandemic time periods. The incidence of RA and JIA reduced by -13.3 and -17.4% per month, respectively, between January 2020 and April 2020, then increased by 1.9 and 3.7% per month, respectively, between April 2020 and October 2021. The incidence of all diagnosed iRMDs was stable until October 2021. Referrals decreased between February 2020 and May 2020 by -16.8% per month from 4.8 to 2.4% in patients presenting with a musculoskeletal condition. After May 2020, referrals increased significantly (16.8% per month) to 4.5% in July 2020. The time from first musculoskeletal consultation to RA diagnosis and from referral to RA diagnosis increased in the early pandemic period [rate ratio (RR) 1.11, 95% CI 1.07, 1.15 and RR 1.23, 95% CI 1.17, 1.30, respectively] and remained consistently higher in the late pandemic period (RR 1.13, 95% CI 1.11, 1.16 and RR 1.27, 95% CI 1.23, 1.32, respectively), compared with the pre-COVID-19 pandemic period. Patients with underlying RA and JIA that developed during the pandemic might be yet to present or might be in the referral and/or diagnostic process. Clinicians should remain alert to this possibility, and commissioners should be aware of these findings, enabling the appropriate planning and commissioning of services.

Association of serum anti-carbamylated protein antibodies with disease activity and bone loss in rheumatoid arthritis

BackgroundWe investigated the association of serum anti-carbamylated protein (anti-CarP) antibodies with disease activity and bone loss in rheumatoid arthritis (RA). MethodsThe serum anti-CarP antibody concentrations of RA and non-RA patients and healthy controls were determined by enzyme-linked immunosorbent assay (ELISA) and then compared. The diagnostic value of anti-CarP antibodies in RA was determined by the receiver operating characteristic curve. Patients with RA and bone erosions were evaluated using ultrasound examinations. Ultrasonography was performed using a semiquantitative scale. The serum receptor activator of nuclear factor Κ-Β ligand (RANKL) concentrations were measured by ELISA to focus on bone loss. ResultsPeripheral serum anti-CarP antibody concentrations in patients with RA were significantly higher than those in patients without RA and in healthy controls and were positively correlated with disease activity. Anti-CarP antibody concentrations were significantly increased in patients with anti-CCP-positive RA. Positive correlation were found between anti-CarP and RANKL. Increased serum anti-CarP antibodies in women with postmenopausal osteoporosis (OP). ConclusionsAnti-CarP antibodies are associated with RA disease activity and may play an important role in bone loss associated with RA. The concentration of anti-CarP antibodies may be beneficial in the early diagnosis of RA, thus supporting its potential as a novel disease biomarker.

Rapid Production of Cyclic Citrullinated Peptide Monoclonal Antibody in Nicotiana benthamiana for the Early Detection and Diagnosis of Rheumatoid Arthritis

Rheumatoid arthritis (RA) is one of the most common autoimmune diseases, affecting 0.5% to 1% of the population. It could ultimately result in joint destruction, functional decline, work disability, and enhanced mortality. Cyclic citrullinated peptide antibodies (CCP Abs) are useful biomarkers for the early detection and diagnosis of RA. In this study, we used plant viral-based expression vectors that produce rapidly large quantities of CCP-specific monoclonal antibodies. Heavy and light chain genes of a CCP monoclonal antibody (CCP mAb) were cloned from the hybridoma cell (12G1) and introduced into two separate plant viral-based expression vectors, TMV and PVX. A cyclic citrullinated peptide monoclonal antibody was produced in Nicotiana benthamiana through an Agrobacterium-mediated transient expression system. The expression of CCP mAb in tobacco plants was confirmed by dot blot, western blot analysis, and enzyme-linked immunosorbent assays (ELISA). It was shown that tobacco plants could accumulate CCP mAbs up to 0.35% of total soluble protein. Accumulated CCP mAb from infiltrated leaves was purified by protein G affinity chromatography. Immunoblot assays and ELISA showed plant-produced CCP mAbs successfully bound to a synthetic CCP peptide antigen. This system provides a fast strategy for the production of pharmaceutical CCP mAbs in tobacco plants.

Multifunctional Janus Nanoplatform for Efficiently Synergistic Theranostics of Rheumatoid Arthritis

Progress has been made in the application of nanomedicine in rheumatoid arthritis (RA) treatment. However, the whole process of monitoring and treatment of RA remains a formidable challenge due to the complexity of the chronic autoimmune disease. In this study, we develop a Janus nanoplatform (denoted as Janus-CPS) composed of CeO2-Pt nanozyme subunit on one side and periodic mesoporous organosilica (PMO) subunit on another side for simultaneous early diagnosis and synergistic therapy of RA. The Janus nanostructure, which enables more active sites to be exposed, enhances the reactive oxygen species scavenging capability of CeO2-Pt nanozyme subunit as compared to their core-shell counterpart. Furthermore, micheliolide (MCL), an extracted compound from natural plants with anti-osteoclastogenesis effects, is loaded into the mesopores of PMO subunit to synergize with the anti-inflammation effect of nanozymes for efficient RA treatment, which has been demonstrated by in vitro cellular experiments and in vivo collagen-induced arthritis (CIA) model. In addition, by taking advantage of the second near-infrared window (NIR-II) fluorescent imaging, indocyanine green (ICG)-loaded Janus-CPS exhibits desirable effectiveness in detecting RA lesions at a very early stage. It is anticipated that such a Janus nanoplatform may offer an alternative strategy of functional integration for versatile theranostics.