Evaluating the real-world effectiveness of belimumab in patients with SLE using SLE-related laboratory values and rheumatoid arthritis-derived disease activity measures: RAPID3, swollen joint count and tender joint count.

OBJECTIVE: To investigate the real-world impact of intravenous belimumab treatment among patients with SLE using rheumatoid arthritis-derived disease activity measures and SLE-related laboratory values. METHODS: This retrospective cohort study used US electronic medical record data from the United Rheumatology Normalised Integrated Community Evidence (UR-NICE) database. Adult patients with SLE who initiated intravenous belimumab between 1 January 2012 and 3 December 2019 (index), had 12 months of pre-index and 24 months of post-index clinical activity, and had ≥6 infusions of belimumab during the 24 months post-index were included. The primary outcome measure was time to first improvement of minimally important difference (MID) for Routine Assessment of Patient Index Data 3 (RAPID3), Patient Pain Index (PPI), swollen joint count, tender joint count (TJC), complement C3 and C4 and anti-double-stranded DNA antibodies during the on-treatment follow-up period of up to 24 months. The secondary outcome measure evaluated the trajectories of these outcome measures for up to 24 months of belimumab treatment. RESULTS: Of 495 patients included, between 21.0% and 52.1% had ≥1 record for each of the disease activity measures or laboratory values in the pre-index and post-index periods and were included in analyses for that measure. The proportion of patients achieving MID for each measure increased rapidly within 3 months, with continued gradual improvement throughout the remaining on-treatment period, up to 24 months. After 6 months, 52.3% and 55.3% of patients had achieved MID in RAPID3 and PPI, respectively. Outcome measure trajectories indicated improved disease activity with belimumab treatment, particularly in RAPID3, TJC and laboratory values. CONCLUSIONS: In this real-world effectiveness study, belimumab therapy for SLE resulted in clinically meaningful improvements in rheumatoid arthritis-derived disease activity measures within 3 months of treatment, with patients who remained on belimumab therapy experiencing improvement even up to 24 months of observation.

Recommendations for physical activity and exercise in persons living with Systemic Lupus Erythematosus (SLE): consensus by an international task force.

OBJECTIVE: This international task force aimed to provide healthcare professionals and persons living with systemic lupus erythematosus (SLE) with consensus-based recommendations for physical activity and exercise in SLE. METHODS: Based on evidence from a systematic literature review and expert opinion, 3 overarching principles and 15 recommendations were agreed on by Delphi consensus. RESULTS: The overarching principles highlight the importance of shared decision-making and the need to explain the benefits of physical activity to persons living with SLE and other healthcare providers. The 15 specific recommendations state that physical activity is generally recommended for all people with SLE, but in some instances, a medical evaluation may be needed to rule out contraindications. Pertaining to outdoor activity, photoprotection is necessary. Both aerobic and resistance training programmes are recommended, with a gradual increase in frequency and intensity, which should be adapted for each individual, and ideally supervised by qualified professionals. CONCLUSION: In summary, the consensus reached by the international task force provides a valuable framework for the integration of physical activity and exercise into the management of SLE, offering a tailored evidence-based and eminence-based approach to enhance the well-being of individuals living with this challenging autoimmune condition.

Type I interferon blockade with anifrolumab in patients with systemic lupus erythematosus modulates key immunopathological pathways in a gene expression and proteomic analysis of two phase 3 trials.

INTRODUCTION: Anifrolumab is a type I interferon (IFN) receptor 1 (IFNAR1) blocking antibody approved for treating patients with systemic lupus erythematosus (SLE). Here, we investigated the immunomodulatory mechanisms of anifrolumab using longitudinal transcriptomic and proteomic analyses of the 52-week, randomised, phase 3 TULIP-1 and TULIP-2 trials. METHODS: Patients with moderate to severe SLE were enrolled in TULIP-1 and TULIP-2 and received intravenous anifrolumab or placebo alongside standard therapy. Whole-blood expression of 18 017 genes using genome-wide RNA sequencing (RNA-seq) (pooled TULIP; anifrolumab, n=244; placebo, n=258) and 184 plasma proteins using Olink and Simoa panels (TULIP-1; anifrolumab, n=124; placebo, n=132) were analysed. We compared treatment groups via gene set enrichment analysis using MetaBase pathway analysis, blood transcriptome modules, in silico deconvolution of RNA-seq and longitudinal linear mixed effect models for gene counts and protein levels. RESULTS: Compared with placebo, anifrolumab modulated >2000 genes by week 24, with overlapping results at week 52 and 41 proteins by week 52. IFNAR1 blockade with anifrolumab downregulated multiple type I and II IFN-induced gene modules/pathways and type III IFN-λ protein levels, and impacted apoptosis-associated and neutrophil extracellular trap-associated transcriptional pathways, innate cell activating chemokines and receptors, proinflammatory cytokines and B-cell activating cytokines. In silico deconvolution of RNA-seq data indicated an increase from baseline of mucosal-associated invariant and γδT cells and a decrease of monocytes following anifrolumab treatment. DISCUSSION: Type I IFN blockade with anifrolumab modulated multiple inflammatory pathways downstream of type I IFN signalling, including apoptotic, innate and adaptive mechanisms that play key roles in SLE immunopathogenesis.

Novel potential lncRNA biomarker in B cells indicates essential pathogenic pathway activation in patients with SLE.

OBJECTIVES: Systemic lupus erythematosus (SLE) is a highly heterogeneous disease, and B cell abnormalities play a central role in the pathogenesis of SLE. Long non-coding RNAs (lncRNAs) have also been implicated in the pathogenesis of SLE. The expression of lncRNAs is finely regulated and cell-type dependent, so we aimed to identify B cell-expressing lncRNAs as biomarkers for SLE, and to explore their ability to reflect the status of SLE critical pathway and disease activity. METHODS: Weighted gene coexpression network analysis (WGCNA) was used to cluster B cell-expressing genes of patients with SLE into different gene modules and relate them to clinical features. Based on the results of WGCNA, candidate lncRNA levels were further explored in public bulk and single-cell RNA-sequencing data. In another independent cohort, the levels of the candidate were detected by RT-qPCR and the correlation with disease activity was analysed. RESULTS: WGCNA analysis revealed one gene module significantly correlated with clinical features, which was enriched in type I interferon (IFN) pathway. Among non-coding genes in this module, lncRNA RP11-273G15.2 was differentially expressed in all five subsets of B cells from patients with SLE compared with healthy controls and other autoimmune diseases. RT-qPCR validated that RP11-273G15.2 was highly expressed in SLE B cells and positively correlated with IFN scores (r=0.7329, p<0.0001) and disease activity (r=0.4710, p=0.0005). CONCLUSION: RP11-273G15.2 could act as a diagnostic and disease activity monitoring biomarker for SLE, which might have the potential to guide clinical management.

SLESIS-R: an improved score for prediction of serious infection in patients with systemic lupus erythematosus based on the RELESSER prospective cohort.

OBJECTIVE: To develop an improved score for prediction of severe infection in patients with systemic lupus erythematosus (SLE), namely, the SLE Severe Infection Score-Revised (SLESIS-R) and to validate it in a large multicentre lupus cohort. METHODS: We used data from the prospective phase of RELESSER (RELESSER-PROS), the SLE register of the Spanish Society of Rheumatology. A multivariable logistic model was constructed taking into account the variables already forming the SLESIS score, plus all other potential predictors identified in a literature review. Performance was analysed using the C-statistic and the area under the receiver operating characteristic curve (AUROC). Internal validation was carried out using a 100-sample bootstrapping procedure. ORs were transformed into score items, and the AUROC was used to determine performance. RESULTS: A total of 1459 patients who had completed 1 year of follow-up were included in the development cohort (mean age, 49±13 years; 90% women). Twenty-five (1.7%) had experienced ≥1 severe infection. According to the adjusted multivariate model, severe infection could be predicted from four variables: age (years) ≥60, previous SLE-related hospitalisation, previous serious infection and glucocorticoid dose. A score was built from the best model, taking values from 0 to 17. The AUROC was 0.861 (0.777-0.946). The cut-off chosen was ≥6, which exhibited an accuracy of 85.9% and a positive likelihood ratio of 5.48. CONCLUSIONS: SLESIS-R is an accurate and feasible instrument for predicting infections in patients with SLE. SLESIS-R could help to make informed decisions on the use of immunosuppressants and the implementation of preventive measures.

Analysis of belimumab prescription and outcomes in a 10-year monocentric cohort: is there an advantage with early use?

OBJECTIVE: The objective is to evaluate perscriptions of belimumab (BEL), how these have changed over the years and their impact on clinical outcomes in patients with systemic lupus erythematosus (SLE). METHODS: This is a retrospective analysis of prospectively collected data. We retrieved demographic and clinical data and concomitant therapies at BEL starting (baseline). Disease activity was assessed at baseline and after 6 and 12 months and organ damage at baseline and at the last visit. RESULTS: From 422 patients followed in the Pisa SLE cohort, 102 patients received BEL and were included and 22 (21.6%) were immunosuppressant (IS)-naïve. Lupus Low Disease Activity State (LLDAS) with a glucocorticoid (GC) dosage ≤5 mg/day (LLDAS5) and remission were achieved by 47% and 38% of patients at 6 months, and by 75% and 66% at 12 months. Comparing IS-naïve patients with those who received BEL after at least one conventional IS, we did not find significant differences in baseline characteristics and in the achievement of LLDAS5 and remission. Despite at baseline we did not observe significant differences in mean GC daily dosage, IS-naïve patients were taking a significantly lower GC daily dose at 6 and 12 months. Interestingly, IS-naïve patients were more common in the most recent years. CONCLUSIONS: Our data confirm that BEL is effective in controlling disease activity, and in recent years BEL has been considered as an earlier treatment option before other IS. Early introduction of BEL can be at least as effective as a step-up approach and can help to reduce the GC dosage.

Higher mortality risk from gynaecological neoplasms and non-Hodgkin's lymphoma in patients with systemic lupus erythematosus: an observational study from the Spanish National Registry.

OBJECTIVE: To evaluate the impact of the different types of neoplasms and lineages on mortality of patients with SLE. METHODS: Retrospective and observational comparison of the neoplasm-related deaths in patients with SLE and the general Spanish population reported in the Spanish Hospital Discharge Database. To determine the impact of SLE on the risk of dying from each neoplasm lineage, a binary logistic regression considering age, female sex, tobacco and alcohol consumption, was performed. RESULTS: During 2016-2019, 139 531 in-hospital deaths from neoplasms were certified in Spain (91 in patients with SLE). Patients with SLE presented a lower mortality rate from solid organ neoplasms, (80.2% vs 91.1%, OR 0.393), linked to their lower risk of colorectal carcinoma (1.1% vs 10.8%, OR 0.110). By contrast, gynaecological neoplasms presented a higher risk (8.8% vs 3%, OR 3.039) in the deceased patients with SLE, associated with the higher frequency of vulvar neoplasms (2% vs 0.2%, OR 14.767) and cervical carcinomas (3.3% vs 0.5%, OR 3.809). Haematological neoplasm-related deaths were also more prevalent in patients with SLE (19.8% vs 8.9%, OR 2.546), mostly attributable to the higher proportion of deaths due to non-Hodgkin's lymphoma (11% vs 2.9%, OR 4.060) of B cell lineage (9.9% vs 2.5%, OR 4.133). CONCLUSIONS: Patients with SLE present a higher risk of death from vulvar neoplasms, cervical carcinomas and B-cell non-Hodgkin's lymphoma in comparison with the general Spanish population. In addition to developing strategies that might help to attenuate their occurrence and impact, such as decreasing the immunosuppressive burden, specific early detection programmes for these conditions should be investigated and considered carefully.

Disentangling the riddle of systemic lupus erythematosus with antiphospholipid syndrome: blood transcriptome analysis reveals a less-pronounced IFN-signature and distinct molecular profiles in venous versus arterial events.

INTRODUCTION: Systemic lupus erythematosus with antiphospholipid syndrome (SLE-APS) represents a challenging SLE endotype whose molecular basis remains unknown. METHODS: We analysed whole-blood RNA-sequencing data from 299 patients with SLE (108 SLE-antiphospholipid antibodies (aPL)-positive, including 67 SLE-APS; 191 SLE-aPL-negative) and 72 matched healthy controls (HC). Pathway enrichment analysis, unsupervised weighted gene coexpression network analysis and machine learning were applied to distinguish disease endotypes. RESULTS: Patients with SLE-APS demonstrated upregulated type I and II interferon (IFN) pathways compared with HC. Using a 100-gene random forests model, we achieved a cross-validated accuracy of 75.6% in distinguishing these two states. Additionally, the comparison between SLE-APS and SLE-aPL-negative revealed 227 differentially expressed genes, indicating downregulation of IFN-α and IFN-γ signatures, coupled with dysregulation of the complement cascade, B-cell activation and neutrophil degranulation. Unsupervised analysis of SLE transcriptome identified 21 gene modules, with SLE-APS strongly linked to upregulation of the 'neutrophilic/myeloid' module. Within SLE-APS, venous thromboses positively correlated with 'neutrophilic/myeloid' and 'B cell' modules, while arterial thromboses were associated with dysregulation of 'DNA damage response (DDR)' and 'metabolism' modules. Anticardiolipin and anti-ß2GPI positivity-irrespective of APS status-were associated with the 'neutrophilic/myeloid' and 'protein-binding' module, respectively. CONCLUSIONS: There is a hierarchical upregulation and-likely-dependence on IFN in SLE with the highest IFN signature observed in SLE-aPL-negative patients. Venous thrombotic events are associated with neutrophils and B cells while arterial events with DDR and impaired metabolism. This may account for their differential requirements for anticoagulation and provide rationale for the potential use of mTOR inhibitors such as sirolimus and the direct fIIa inhibitor dabigatran in SLE-APS.

Characterisation of choroid plexus-infiltrating T cells reveals novel therapeutic targets in murine neuropsychiatric lupus.

OBJECTIVE: Diffuse central nervous system manifestations, referred to as neuropsychiatric lupus (NPSLE), are observed in 20-40% of lupus patients and involve complex mechanisms that have not yet been adequately elucidated. In murine NPSLE models, choroid plexus (ChP)-infiltrating T cells have not been fully evaluated as drivers of neuropsychiatric disease. METHOD: Droplet-based single-cell transcriptomic analysis (single-cell RNA sequencing) and immune T-cell receptor profiling were performed on ChP tissue from MRL/lpr mice, an NPSLE mouse model, at an 'early' and 'late' disease state, to investigate the infiltrating immune cells that accumulate with NPSLE disease progression. RESULTS: We found 19 unique clusters of stromal and infiltrating cells present in the ChP of NPSLE mice. Higher resolution of the T-cell clusters uncovered multiple T-cell subsets, with increased exhaustion and hypoxia expression profiles. Clonal analysis revealed that the clonal CD8+T cell CDR3 sequence, ASGDALGGYEQY, matched that of a published T-cell receptor sequence with specificity for myelin basic protein. Stromal fibroblasts are likely drivers of T-cell recruitment by upregulating the VCAM signalling pathway. Systemic blockade of VLA-4, the cognate ligand of VCAM, resulted in significant resolution of the ChP immune cell infiltration and attenuation of the depressive phenotype. CONCLUSION: Our analysis details the dynamic transcriptomic changes associated with murine NPSLE disease progression, and highlights its potential use in identifying prospective lupus brain therapeutic targets.

Identifying pregnancy episodes and estimating the last menstrual period using an administrative database in Korea: an application to patients with systemic lupus erythematosus.

OBJECTIVES: This study developed an algorithm for identifying pregnancy episodes and estimating the last menstrual period (LMP) in an administrative claims database and applied it to investigate the use of pregnancy-incompatible immunosuppressants among pregnant women with systemic lupus erythematosus (SLE). METHODS: An algorithm was developed and applied to a nationwide claims database in Korea. Pregnancy episodes were identified using a hierarchy of pregnancy outcomes and clinically plausible periods for subsequent episodes. The LMP was estimated using preterm delivery, sonography, and abortion procedure codes. Otherwise, outcome-specific estimates were applied, assigning a fixed gestational age to the corresponding pregnancy outcome. The algorithm was used to examine the prevalence of pregnancies and utilization of pregnancy-incompatible immunosuppressants (cyclophosphamide [CYC]/mycophenolate mofetil [MMF]/methotrexate [MTX]) and non-steroidal anti-inflammatory drugs (NSAIDs) during pregnancy in SLE patients. RESULTS: The pregnancy outcomes identified in SLE patients included live births (67%), stillbirths (2%), and abortions (31%). The LMP was mostly estimated with outcome-specific estimates for full-term births (92.3%) and using sonography procedure codes (54.7%) and preterm delivery diagnosis codes (37.9%) for preterm births. The use of CYC/MMF/MTX decreased from 7.6% during preconception to 0.2% at the end of pregnancy. CYC/MMF/MTX use was observed in 3.6% of women within 3 months preconception and 2.5% during 0-7 weeks of pregnancy. CONCLUSIONS: This study presents the first pregnancy algorithm using a Korean administrative claims database. Although further validation is necessary, this study provides a foundation for evaluating the safety of medications during pregnancy using secondary databases in Korea, especially for rare diseases.

Association of phenotypic frailty and hand grip strength with telomere length in SLE.

OBJECTIVE: Frailty and objective hand grip strength (one of the components of the frailty phenotype) are both risk factors for worse health outcomes in SLE. Whether telomere length, an established cellular senescence marker, is a biologic correlate of the frailty phenotype and hand grip strength in patients with SLE is not clear. First, we aimed to evaluate differences in telomere length between frail and non-frail women with SLE and then assessed whether frailty or hand grip strength is differentially associated with telomere length after adjusting for relevant confounders. METHODS: Women ≥18 years of age with validated SLE enrolled at a single medical centre. Fried frailty status (which includes hand grip strength), clinical characteristics and telomere length were assessed cross-sectionally. Differences between frail and non-frail participants were evaluated using Fisher's exact or Wilcoxon rank-sum tests. The associations between frailty and hand grip strength and telomere length were determined using linear regression. RESULTS: Of the 150 enrolled participants, 131 had sufficient data for determination of frailty classification; 26% were frail with a median age of 45 years. There was a non-significant trend towards shorter telomere length in frail versus non-frail participants (p=0.07). Hand grip strength was significantly associated with telomere length (beta coefficient 0.02, 95% CI 0.004, 0.04), including after adjustment for age, SLE disease activity and organ damage, and comorbidity (beta coefficient 0.02, 95% CI 0.002, 0.04). CONCLUSIONS: Decreased hand grip strength, but not frailty, was independently associated with shortened telomere length in a cohort of non-elderly women with SLE. Frailty in this middle-aged cohort may be multifactorial rather than strictly a manifestation of accelerated ageing.

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.

Association of genetic variation on X chromosome with systemic lupus erythematosus in both Thai and Chinese populations.

OBJECTIVES: X chromosome has been considered as a risk factor for SLE, which is a prototype of autoimmune diseases with a significant sex difference (female:male ratio is around 9:1). Our study aimed at exploring the association of genetic variants in X chromosome and investigating the influence of trisomy X in the development of SLE. METHODS: X chromosome-wide association studies were conducted using data from both Thai (835 patients with SLE and 2995 controls) and Chinese populations (1604 patients with SLE and 3324 controls). Association analyses were performed separately in females and males, followed by a meta-analysis of the sex-specific results. In addition, the dosage of X chromosome in females with SLE were also examined. RESULTS: Our analyses replicated the association of TMEM187-IRAK1-MECP2, TLR7, PRPS2 and GPR173 loci with SLE. We also identified two loci suggestively associated with SLE. In addition, making use of the difference in linkage disequilibrium between Thai and Chinese populations, a synonymous variant in TMEM187 was prioritised as a likely causal variant. This variant located in an active enhancer of immune-related cells, with the risk allele associated with decreased expression level of TMEM187. More importantly, we identified trisomy X (47,XXX) in 5 of 2231 (0.22%) females with SLE. The frequency is significantly higher than that found in the female controls (0.08%; two-sided exact binomial test P=0.002). CONCLUSION: Our study confirmed previous SLE associations in X chromosome, and identified two loci suggestively associated with SLE. More importantly, our study indicated a higher risk of SLE for females with trisomy X.

Enhanced medullary and extramedullary granulopoiesis sustain the inflammatory response in lupus nephritis.

OBJECTIVES: In SLE, deregulation of haematopoiesis is characterised by inflammatory priming and myeloid skewing of haematopoietic stem and progenitor cells (HSPCs). We sought to investigate the role of extramedullary haematopoiesis (EMH) as a key player for tissue injury in systemic autoimmune disorders. METHODS: Transcriptomic analysis of bone marrow (BM)-derived HSPCs from patients with SLE and NZBW/F1 lupus-prone mice was performed in combination with DNA methylation profile. Trained immunity (TI) was induced through ß-glucan administration to the NZBW/F1 lupus-prone model. Disease activity was assessed through lupus nephritis (LN) histological grading. Colony-forming unit assay and adoptive cell transfer were used to assess HSPCs functionalities. RESULTS: Transcriptomic analysis shows that splenic HSPCs carry a higher inflammatory potential compared with their BM counterparts. Further induction of TI, through ß-glucan administration, exacerbates splenic EMH, accentuates myeloid skewing and worsens LN. Methylomic analysis of BM-derived HSPCs demonstrates myeloid skewing which is in part driven by epigenetic tinkering. Importantly, transcriptomic analysis of human SLE BM-derived HSPCs demonstrates similar findings to those observed in diseased mice. CONCLUSIONS: These data support a key role of granulocytes derived from primed HSPCs both at medullary and extramedullary sites in the pathogenesis of LN. EMH and TI contribute to SLE by sustaining the systemic inflammatory response and increasing the risk for flare.

Disease activity drives divergent epigenetic and transcriptomic reprogramming of monocyte subpopulations in systemic lupus erythematosus.

OBJECTIVES: Systemic lupus erythematosus (SLE) is characterised by systemic inflammation involving various immune cell types. Monocytes, pivotal in promoting and regulating inflammation in SLE, differentiate from classic monocytes into intermediate and non-classic monocytes, assuming diverse roles and changing their proportions in inflammation. In this study, we investigated the epigenetic and transcriptomic profiles of these and novel monocyte subsets in SLE in relation to activity and progression. METHODS: We obtained the DNA methylomes and transcriptomes of classic, intermediate, non-classic monocytes in patients with SLE (at first and follow-up visits) and healthy donors. We integrated these data with single-cell transcriptomics of SLE and healthy donors and interrogated their relationships with activity and progression. RESULTS: In addition to shared DNA methylation and transcriptomic alterations associated with a strong interferon signature, we identified monocyte subset-specific alterations, especially in DNA methylation, which reflect an impact of SLE on monocyte differentiation. SLE classic monocytes exhibited a proinflammatory profile and were primed for macrophage differentiation. SLE non-classic monocytes displayed a T cell differentiation-related phenotype, with Th17-regulating features. Changes in monocyte proportions, DNA methylation and expression occurred in relation to disease activity and involved the STAT pathway. Integration of bulk with single-cell RNA sequencing datasets revealed disease activity-dependent expansion of SLE-specific monocyte subsets, further supported the interferon signature for classic monocytes, and associated intermediate and non-classic populations with exacerbated complement activation. CONCLUSIONS: Disease activity in SLE drives a subversion of the epigenome and transcriptome programme in monocyte differentiation, impacting the function of different subsets and allowing to generate predictive methods for activity and progression.

Evaluation of RNase therapy in systemic lupus erythematosus: a randomised phase 2a clinical trial of RSLV-132.

BACKGROUND: Circulating, extracellular RNA is the primary trigger of type I interferon in systemic lupus erythematosus (SLE), and interferon is known to play a central pathogenic role in the disease. RSLV-132 is a catalytically active human RNase molecule fused to human IgG1 Fc designed to digest RNA and thereby decrease the chronic inflammation associated with SLE. The drug was evaluated in a cohort of patients with SLE with moderate-severe cutaneous disease activity and the presence of RNA immune complexes. The primary objective of the study was the assessment of the impact of 13 doses of 10 mg/kg RSLV-132 over 6 months on the mean Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) score. METHODS: Sixty-five patients meeting the entry criteria of a baseline CLASI score of 10 or greater and positivity of at least one of five autoantibodies to RNA-binding proteins (SM/RNP, SSA/Ro, SSB/La, Sm, RNP) were randomly assigned (2:1) to receive 13 doses of RSLV-132 10 mg/kg or placebo, respectively. Participants received study drug for 24 weeks on days 1, 8, 15, 29, 43, 57, 71, 85, 99, 113, 127, 141 and 155 with an end-of-treatment visit on day 169 and a follow-up visit at the end of the study on day 215. The primary objective was assessed on days 85 and 169. Secondary objectives included assessment of systemic disease activity using the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K), the British Isles Lupus Assessment Group 2004 Index and the Physician's Global Assessment. Data from these instruments were used to calculate the SLE Responder Index 4 (SRI-4) and the British Isles Lupus Assessment Group-based Composite Lupus Assessment (BICLA) scores. RESULTS: The mean CLASI score change from baseline at day 169 was -5.7 (±7.0) in the placebo group and -6.2 (±8.5) in the RSLV-132 group. A subgroup of participants with moderate-severe systemic disease activity and high baseline SLEDAI scores (≥9) were analysed with respect to BICLA and SRI-4 responses. The RSLV-132 treated participants in the high SLEDAI subgroup had a greater percentage of BICLA responses (62% vs 44%) and SRI-4 responses (23% vs 11%) as compared with placebo. A second subgroup of participants with high baseline CLASI scores (≥21) were analysed with respect to BICLA and SRI-4 responses. The RSLV-132 treated participants in the high CLASI subgroup had a greater percentage of BICLA responses (28% vs 8%) and SRI-4 responses (39% vs 8%) as compared with placebo. CONCLUSIONS: Six months of RSLV-132 therapy consisting of a weekly loading dose of RSLV-132 for 1 month, followed by 5 months of biweekly administrations did not significantly improve the mean CLASI score relative to placebo in this cohort of patients with SLE. The study entry criteria selected patients with moderate-severe cutaneous disease activity and no minimum SLEDAI score, which resulted in a wide range of systemic disease activity from inactive to severe as measured by SLEDAI. When the participants with higher SLEDAI and CLASI scores were analysed, a trend towards clinical improvement favouring RSLV-132 was observed. The results warrant further evaluation of RSLV-132 in SLE and suggest that patients with more active systemic disease are most likely to benefit from RNase therapy.