Anti-KIF20B autoantibodies are associated with cranial neuropathy in systemic lupus erythematosus.

BACKGROUND: Cranial neuropathies (CN) are a rare neuropsychiatric SLE (NPSLE) manifestation. Previous studies reported that antibodies to the kinesin family member 20B (KIF20B) (anti-KIF20B) protein were associated with idiopathic ataxia and CN. We assessed anti-KIF20B as a potential biomarker for NPSLE in an international SLE inception cohort. METHODS: Individuals fulfilling the revised 1997 American College of Rheumatology (ACR) SLE classification criteria were enrolled from 31 centres from 1999 to 2011 and followed annually in the Systemic Lupus Erythematosus International Collaborating Clinics inception cohort. Anti-KIF20B testing was performed on baseline (within 15 months of diagnosis or first annual visit) samples using an addressable laser bead immunoassay. Logistic regression (penalised maximum likelihood and adjusting for confounding variables) examined the association between anti-KIF20B and NPSLE manifestations (1999 ACR case definitions), including CN, occurring over the first 5 years of follow-up. RESULTS: Of the 1827 enrolled cohort members, baseline serum and 5 years of follow-up data were available on 795 patients who were included in this study: 29.8% were anti-KIF20B-positive, 88.7% female, and 52.1% White. The frequency of anti-KIF20B positivity differed only for those with CN (n=10) versus without CN (n=785) (70.0% vs 29.3%; OR 5.2, 95% CI 1.4, 18.5). Compared with patients without CN, patients with CN were more likely to fulfil the ACR haematological (90.0% vs 66.1%; difference 23.9%, 95% CI 5.0%, 42.8%) and ANA (100% vs 95.7%; difference 4.3%, 95% CI 2.9%, 5.8%) criteria. In the multivariate analysis adjusting for age at baseline, female, White race and ethnicity, and ACR haematological and ANA criteria, anti-KIF20B positivity remained associated with CN (OR 5.2, 95% CI 1.4, 19.1). CONCLUSION: Anti-KIF20B is a potential biomarker for SLE-related CN. Further studies are needed to examine how autoantibodies against KIF20B, which is variably expressed in a variety of neurological cells, contribute to disease pathogenesis.

Systemic lupus in the era of machine learning medicine.

Artificial intelligence and machine learning applications are emerging as transformative technologies in medicine. With greater access to a diverse range of big datasets, researchers are turning to these powerful techniques for data analysis. Machine learning can reveal patterns and interactions between variables in large and complex datasets more accurately and efficiently than traditional statistical methods. Machine learning approaches open new possibilities for studying SLE, a multifactorial, highly heterogeneous and complex disease. Here, we discuss how machine learning methods are rapidly being integrated into the field of SLE research. Recent reports have focused on building prediction models and/or identifying novel biomarkers using both supervised and unsupervised techniques for understanding disease pathogenesis, early diagnosis and prognosis of disease. In this review, we will provide an overview of machine learning techniques to discuss current gaps, challenges and opportunities for SLE studies. External validation of most prediction models is still needed before clinical adoption. Utilisation of deep learning models, access to alternative sources of health data and increased awareness of the ethics, governance and regulations surrounding the use of artificial intelligence in medicine will help propel this exciting field forward.

Identification of novel clusters of co-expressing cytokines in a diagnostic cytokine multiplex test.

Introduction: Cytokines are mediators of the immune system that are essential for the maintenance, development and resolution of immune responses. Beneficial immune responses depend on complex, interdependent networks of signaling and regulatory events in which individual cytokines influence the production and release of others. Since disruptions in these signaling networks are associated with a wide spectrum of diseases, cytokines have gained considerable interest as diagnostic, prognostic and precision therapy-relevant biomarkers. However, currently individual cytokines testing has limited value because the wider immune response context is often overlooked. The aim of this study was to identify specific cytokine signaling patterns associated with different diseases. Methods: Unbiased clustering analyses were performed on a clinical cytokine multiplex test using a cohort of human plasma specimens drawn from individuals with known or suspected diseases for which cytokine profiling was considered clinically indicated by the attending physician. Results and discussion: Seven clusters of co-expressing cytokines were identified, representing common patterns of immune activation. Common expression profiles of the cytokine clusters and preliminary associations of these profiles with specific diseases or disease categories were also identified. These findings increase our understanding of the immune environments underlying the clinical presentations of patients of inflammatory, autoimmune and neoplastic diseases, which could then improve diagnoses and the identification of evidence-based treatment targets.

Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes.

OBJECTIVES: A novel longitudinal clustering technique was applied to comprehensive autoantibody data from a large, well-characterised, multinational inception systemic lupus erythematosus (SLE) cohort to determine profiles predictive of clinical outcomes. METHODS: Demographic, clinical and serological data from 805 patients with SLE obtained within 15 months of diagnosis and at 3-year and 5-year follow-up were included. For each visit, sera were assessed for 29 antinuclear antibodies (ANA) immunofluorescence patterns and 20 autoantibodies. K-means clustering on principal component analysis-transformed longitudinal autoantibody profiles identified discrete phenotypic clusters. One-way analysis of variance compared cluster enrolment demographics and clinical outcomes at 10-year follow-up. Cox proportional hazards model estimated the HR for survival adjusting for age of disease onset. RESULTS: Cluster 1 (n=137, high frequency of anti-Smith, anti-U1RNP, AC-5 (large nuclear speckled pattern) and high ANA titres) had the highest cumulative disease activity and immunosuppressants/biologics use at year 10. Cluster 2 (n=376, low anti-double stranded DNA (dsDNA) and ANA titres) had the lowest disease activity, frequency of lupus nephritis and immunosuppressants/biologics use. Cluster 3 (n=80, highest frequency of all five antiphospholipid antibodies) had the highest frequency of seizures and hypocomplementaemia. Cluster 4 (n=212) also had high disease activity and was characterised by multiple autoantibody reactivity including to antihistone, anti-dsDNA, antiribosomal P, anti-Sjögren syndrome antigen A or Ro60, anti-Sjögren syndrome antigen B or La, anti-Ro52/Tripartite Motif Protein 21, antiproliferating cell nuclear antigen and anticentromere B). Clusters 1 (adjusted HR 2.60 (95% CI 1.12 to 6.05), p=0.03) and 3 (adjusted HR 2.87 (95% CI 1.22 to 6.74), p=0.02) had lower survival compared with cluster 2. CONCLUSION: Four discrete SLE patient longitudinal autoantibody clusters were predictive of long-term disease activity, organ involvement, treatment requirements and mortality risk.

Meta-analysis: Placebo rates in microscopic colitis randomised trials and applications for future drug development using a historical control arm.

BACKGROUND: Effective medical therapies for patients with microscopic colitis (MC) who fail budesonide are lacking. However, conducting randomised controlled trials (RCTs) in MC has been challenging due to small sample sizes. Understanding placebo responses can help inform more efficient future trials. AIMS: The aim of this study is to estimate clinical and histologic placebo response rates and to determine factors associated with placebo response in MC. METHODS: EMBASE, MEDLINE, and CENTRAL were searched until 7 January 2022, to identify placebo-controlled RCTs in adult patients with MC. Clinical and histologic response in the placebo arms were pooled using random-effects models. Stratified analyses based on disease- and trial-level characteristics, leave-one-out meta-analysis, and cumulative meta-analysis were performed. RESULTS: Twelve RCTs enrolling a total of 391 patients (placebo n = 163) with MC were included. Pooled clinical and histologic placebo response rates were 24.4% (95% CI: 12.4%-38.4%), I2  = 60.8%, p < 0.01, and 19.9% (95% CI: 5.3%-39.0%), I2  = 66.4%, p = 0.01 (tests for heterogeneity), respectively. Clinical response to placebo was numerically higher in patients with lymphocytic compared to collagenous colitis (39.9% vs. 19.8%, p = 0.08). Heterogeneity in clinical response to placebo was significantly reduced when the Miehlke 2014 RCT was excluded in the leave-one-out meta-analysis or when a more stringent secondary definition of response based on the Hjortswang criteria was applied. CONCLUSIONS: Approximately one-quarter of patients in MC trials respond to placebo, although with substantial heterogeneity, reflecting the need for standardised outcome definitions and study designs for MC. This analysis also serves to inform future MC trials that may consider incorporating an external, historical placebo control arm, rather than directly randomising patients to placebo.

Anti-Valosin-Containing Protein (VCP/p97) Autoantibodies in Inclusion Body Myositis and Other Inflammatory Myopathies.

OBJECTIVE: The rationale for this study was based on reports that valosin-containing protein (VCP) mutations are found in hereditary inclusion body myositis (IBM) and VCP was detected in rimmed vacuoles of sporadic IBM (sIBM) muscle biopsies. Autoantibodies to VCP have not been reported in sIBM or other inflammatory myopathies (IIMs). The aim of this study was to determine the frequency and clinical significance of anti-VCP antibodies in sIBM and other IIMs. METHODS: Sera were collected from 73 patients with sIBM and 383 comparators or controls, including patients with IIM (n = 69), those with juvenile dermatomyositis (JDM) (n = 67), those with juvenile idiopathic arthritis (JIA) (n = 47), those with primary biliary cholangitis (PBC) (n = 105), controls that were age matched to patients with sIBM (similarly aged controls [SACs]) (n = 63), and healthy controls (HCs) (n = 32). Immunoglobulin G antibodies to VCP were detected by addressable laser bead immunoassay using a full-length recombinant human protein. RESULTS: Among patients with sIBM, 26.0% (19/73) were positive for anti-VCP. The frequency in disease controls was 15.0% (48/320). Among SACs, the frequency was 1.6% (1/63), and in HCs 0% (0/32). Frequencies were 17.5% (11/63) for IIM, 25.7% (27/105) for PBC, 3.0% (2/67) for JDM, and 17.0% (8/47) for JIA. The sensitivity, specificity, positive predictive value, and negative predictive value of anti-VCP for sIBM were 26.0%, 87.2%, 28.4%, and 85.9%, respectively. Of patients with sIBM, 15.1% (11/73) were positive for both anti-VCP and anti-cytosolic 5'-nucleotidase 1A (NT5c1A). Eleven percent of patients (8/73) were positive for anti-VCP, but negative for anti-NT5c1A. CONCLUSION: Anti-VCP has low sensitivity and moderate specificity for sIBM but may help fill the seronegative gap in sIBM. Further studies are needed to determine whether anti-VCP is a biomarker for a clinical phenotype that may have clinical value.

Cytokine autoantibodies in SARS-CoV-2 prepandemic and intrapandemic samples from an SLE cohort.

Cytokine autoantibodies, particularly those directed to type I interferon (T1IFN), have been reported to portend an increased risk of severe COVID-19. Since SLE is one of the conditions historically associated with T1IFN autoantibodies, we sought to determine the prevalence of cytokine autoantibodies in our local cohort of 173 patients with SLE prepandemic and intrapandemic, of which nine had confirmed exposure to SARS-CoV-2. Autoantibodies to 16 different cytokines, including T1IFN, were measured by an addressable laser bead immunoassay. None of the 9 patients with confirmed exposure to SARS-CoV-2 had autoantibodies to T1IFN and none had severe COVID-19 symptoms, necessitating hospitalisation. Hence, we could not confirm that TIIFN autoantibodies increase the risk for severe COVID-19. In addition, the cytokine autoantibody pattern did not differ between those with and without evidence of SARS-CoV-2 exposure.

Prevalence and titres of antinuclear antibodies in juvenile idiopathic arthritis: A systematic review and meta-analysis.

BACKGROUND: Antinuclear antibodies (ANA) detected in juvenile idiopathic arthritis (JIA) sera are considered to be a biomarker for JIA-related uveitis. There is an unclear consensus on the screening dilutions of ANA as detected by the HEp-2 indirect immunofluorescence assay (IFA) that should be used when predicting the risk of uveitis in JIA. The primary aim of this systematic review and meta-analysis was to summarize the evidence regarding ANA prevalence and performance in JIA and JIA-associated uveitis. METHODS: A search of five databases identified 1766 abstracts, using the search terms juvenile idiopathic arthritis; pediatric; sensitivity or diagnostic; and ANA. Studies that met inclusion/exclusion criteria were analyzed for the proportion of JIA patients with a positive ANA. Forest plots and pooled estimates were generated for the proportion of JIA patients and those with uveitis who were positive for ANA stratified by screening dilution. Study heterogeneity was also assessed. RESULTS: Twenty-eight studies met inclusion criteria yielding 6250 unique patients; 5902 had JIA and 348 were healthy controls or were known to have other autoimmune diseases. The most reported IFA serum screening dilution was ≥1:80, representing 41.9% of patients and this screening dilution had the highest proportion of JIA ANA positivity (41.0%; 95% CI 25.0%-57.0%). ANA screening for JIA uveitis had a sensitivity and specificity of ANA at ≥1:40 of 75% (95% CI 46%-100%) and 66% (95% CI 39%-93%), respectively. There was significant study heterogeneity across both JIA subtypes and ANA titres. CONCLUSIONS: Although there was a large variation of ANA IFA screening dilutions used for investigation of JIA, the most common dilution was 1:80. The current literature has several important deficiencies that are identified in this review requiring additional studies to inform the ANA screening dilutions of clinical value in JIA and JIA-associated uveitis.

Circulating Calprotectin as a Biomarker of COVID-19 Severity.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Although demographic and clinical parameters such as sex, age, comorbidities, genetic background and various biomarkers have been identified as risk factors, there is an unmet need to predict the risk and onset of severe inflammatory disease leading to poor clinical outcomes. In addition, very few mechanistic biomarkers are available to inform targeted treatment of severe (auto)-inflammatory conditions associated with COVID-19. Calprotectin, also known as S100A8/S100A9, MRP8/14 (Myeloid-Related Protein) or L1, is a heterodimer involved in neutrophil-related inflammatory processes. In COVID-19 patients, calprotectin levels were reported to be associated with poor clinical outcomes such as significantly reduced survival time, especially in patients with severe pulmonary disease. AREAS COVERED: Pubmed was searched using the following keywords: Calprotectin + COVID19, S100A8/A9 + COVID19, S100A8 + COVID-19, S100A9 + COVID-19, MRP8/14 + COVID19; L1 + COVID-19 between May 2020 and 8 March 2021. The results summarized in this review provide supporting evidence and propose future directions that define calprotectin as an important biomarker in COVID-19. EXPERT OPINION: Calprotectin represents a promising serological biomarker for the risk assessment of COVID-19 patients.

A review and meta-analysis of anti-ribosomal P autoantibodies in systemic lupus erythematosus.

The discovery of autoantibodies to ribosomal proteins (anti-RibP) dates back more than fifty years when antibodies to ribosomes were identified in systemic lupus erythematosus (SLE) sera. Over the years, anti-RibP autoantibodies have been the subject of extensive study and became known as a highly specific biomarker for the diagnosis of SLE and were associated with neuropsychiatric SLE (NPSLE), lupus nephritis (LN) and hepatitis (LH). As demonstrated by studies on cultured human cells and of murine models, there is evidence to suggest that anti-RibP may have a pathogenic role in LN and NPSLE. Despite a wealth of evidence, in comparison to other SLE autoantibodies such as anti-Sm and anti-dsDNA, anti-RibP has not been included in classification criteria for SLE. A significant challenge is the variability of assays used to detect anti-RibP, including the antigens and diagnostic platforms employed. This may account for the marked variation in frequencies (10-47%) in SLE and its association with clinical and demographic features reported in SLE cohorts. We performed a systematic literature review and meta-analysis to help clarify its prevalence, various clinical and serological associations in SLE based on the different RibP antigens and assay platforms used.

Effects of Nutritional Prehabilitation, With and Without Exercise, on Outcomes of Patients Who Undergo Colorectal Surgery: A Systematic Review and Meta-analysis.

BACKGROUND & AIMS: Although there have been meta-analyses of the effects of exercise-only prehabilitation on patients undergoing colorectal surgery, little is known about the effects of nutrition-only (oral nutritional supplements with and without counseling) and multimodal (oral nutritional supplements with and without counseling and with exercise) prehabilitation on clinical outcomes and patient function after surgery. We performed a systemic review and meta-analysis to determine the individual and combined effects of nutrition-only and multimodal prehabilitation compared with no prehabilitation (control) on outcomes of patients undergoing colorectal resection. METHODS: We searched Medline, EMBASE, CINAHL, CENTRAL, and ProQuest for cohort and randomized controlled studies of adults awaiting colorectal surgery who received at least 7 days of nutrition prehabilitation with or without exercise. We performed a random-effects meta-analysis to estimate the pooled risk ratio for categorical data and the weighted mean difference for continuous variables. The primary outcome was length of hospital stay; the secondary outcome was recovery of functional capacity based on results of a 6-minute walk test. RESULTS: We identified 9 studies (5 randomized controlled studies and 4 cohort studies) composed of 914 patients undergoing colorectal surgery (438 received prehabilitation and 476 served as controls). Receipt of any prehabilitation significantly decreased days spent in the hospital compared with controls (weighted mean difference of length of hospital stay = -2.2 days; 95% confidence interval = -3.5 to -0.9). Only 3 studies reported on functional outcomes but could not be pooled owing to methodologic heterogeneity. In the individual studies, multimodal prehabilitation significantly improved results of the 6-minute walk test at 4 and 8 weeks after surgery compared with standard Enhanced Recovery Pathway care and at 8 weeks compared with standard Enhanced Recovery Pathway care with added rehabilitation. The 4 observational studies had a high risk of bias. CONCLUSIONS: In a systematic review and meta-analysis, we found that nutritional prehabilitation alone or combined with an exercise program significantly decreased length of hospital stay by 2 days in patients undergoing colorectal surgery. There is some evidence that multimodal prehabilitation accelerated the return to presurgical functional capacity.