Activity In SLE Research Articles

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

ObjectivesSystemic 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...

Profiling autoreactive IgG, IgM, IgA and IgE antibodies in system lupus erythematosus patients using antigen microarrays

Abstract OmicsArray™ antigen microarrays bearing 120 antigens were used for profiling IgG, IgM, IgA and IgE autoantibodies in 240 well defined SLE patients and matched healthy controls (HCs). Our analysis show that the average number of positive IgG autoantibodies in SLE is 28.5 with over 95% of SLE patients harbor 5 or more autoantibodies, comparing with 3 positive IgG Autoantibodies in HCs with 25% have 5 or more autoantibodies (p<0.05). A group of 19 IgG autoantibodies targeting to various nuclear antigens (dsDNA, chromatin, histone, Sm/RNP, PCNA, CENP-B, etc.) were significantly enriched in SLE by clustering analysis. The presence of IgG autoantibodies against DNA-associated antigens were most significantly associated with disease activity (SLEDAI) and lupus nephritis (r=0.56, p<0.001) in SLE. The IgG autoantibodies which are positive in HCs were mostly those targeting non-nuclear antigens, such as collagens, alpha-actinin, heparin and cardiolipin. However, some ANA positive HCs exhibited higher IgM specificities targeting to both non-nuclear and nuclear antigens whereas in SLE the IgM autoAb reaction were relatively lower. IgA autoantibodies were detected in over 50% of SLE patients, preferentially targeting to DNA- and RNA-associated antigens indicating the high prevalence of IgA autoantibodies may play a role in SLE. IgE autoantibodies were not detectable for most autoantigens except about 15% of SLE patients showed positive IgE autoantibodies to a small subset of DNA antigens.

Low C4A copy numbers and higher HERV gene insertion contributes to increased risk of SLE, with absence of association with disease phenotype and disease activity.

Low copy numbers (CNs) of C4 genes are associated with systemic autoimmune disorders and affects autoantibody diversity and disease subgroups. The primary objective of this study was to characterize diversity of complement (C4) and C4-Human Endogenous Retrovirus (HERV) gene copy numbers in SLE. We also sought to assess the association of C4 and C4-HERV CNs with serum complement levels, autoantibodies, disease phenotypes and activity. Finally, we checked the association of C4 and HERV CNs with specific HLA alleles. Genomic DNA from 70 SLE and 90 healthy controls of south Indian Tamil origin were included. Demographic, clinical and serological data was collected in a predetermined proforma. CNs of C4A and C4B genes and the frequency of insertion of 6.4kb HERV within C4 gene (C4AL, C4BL) was determined using droplet digital polymerase chain reaction (ddPCR). A four digit high resolution HLA genotyping was done using next generation sequencing. In our cohort, the total C4 gene copies ranged from 2 to 6. Compared to controls, presence of two or less copies of C4A gene was associated with SLE risk (p = 0.005; OR = 2.79; 95% CI = 1.29-6.22). Higher frequency of HERV insertion in C4A than in C4B increases such risk (p = 0.000; OR = 12.67; 95% CI = 2.80-115.3). AL-AL-AL-BS genotype was significantly higher in controls than SLE (9%vs1%, p = 0.04; OR = 0.15, 95% CI = 0.00-0.16). Distribution of HLA alleles was not different in SLE compared to controls as well as in SLE subjects with ≤ 2 copies and > 2 copies of C4A, but HLA allele distribution was diverse in subjects with C4B ≤ 2 copies and > 2 copies. Finally, there was no correlation between the C4 and the C4-HERV diversity and complement levels, autoantibodies, disease phenotypes and activity. In conclusion, our data show that, low C4A copy number and higher insertion of HERV-K in C4A increases the risk for SLE. C4 and C4-HERV CNs did not correlate with serum complements, autoantibodies, disease phenotypes and activity in SLE. Further validation in a larger homogenous SLE cohort is needed.

Anti-histone and anti-nucleosome rather than anti-dsDNA antibodies associate with IFN-induced biomarkers in Sudanese and Swedish Systemic Lupus Erythematosus patients.

In SLE, anti-dsDNA can co-occur with autoantibodies against other chromatin components, like histones and nucleosomes. These antibodies induce type-1 interferon production, a hallmark of SLE. We measured antinuclear antibody (ANA) sub-specificities and investigated their associations to inflammatory biomarkers including interferon-regulated chemokines. We included 93 Sudanese and 480 Swedish SLE patients and matched controls (N = 104 + 192). Autoantibodies targeting ANA-subspecificites: dsDNA, Sm, Sm/U1RNPcomplex, U1RNP, SSA/Ro52, SSA/Ro60, SSB/La, ribosomal P, PCNA and histones were quantified in all subjects, anti-nucleosome only in the Swedish patients, with a bead-based multiplex immunoassay. Levels of 72 plasma biomarkers were determined with Proximity Extension Assay technique or ELISA. Among Sudanese patients, the investigated antibodies significantly associated with 9/72 biomarkers. Anti-histone antibodies showed the strongest positive correlations with MCP-3 and S100A12 as well as with interferon I-inducible factors MCP-1 and CXCL10. Anti-dsDNA antibodies associated with CXCL10 and S100A12, but in multivariate analyses, unlike anti-histone, associations lost significance.Among Swedish patients, MCP-1, CXCL10, SA100A12 also demonstrated stronger associations to anti-histone and anti-nucleosome antibodies, compared with anti-dsDNA and other ANA sub-specificities. In multiple regression models, anti-histone/nucleosome retained the strongest associations. When excluding anti-histone or anti-nucleosome positive patients, the associations between MCP-1/CXCL10 and anti-dsDNA were lost. In contrast, when excluding anti-dsDNA positive patients, associations with anti-histone and anti-nucleosome remained significant. In two cohorts of different ethnical origin, autoantibodies targeting chromatin correlate stronger with IFN-induced inflammatory biomarkers than anti-dsDNA or other ANA sub-specificities. Our results suggest that anti-histone/nucleosome autoantibodies may be main drivers of type-1 interferon activity in SLE.

Impact of serological activity on flare following clinically inactive disease and remission in childhood-onset systemic lupus erythematosus.

The objectives of this study were to assess the association between serological activity (SA) and clinical inactivity in SLE and to investigate whether SA predicts flare after the attainment of clinically inactive disease (CID) and remission. The longitudinal data of children from three paediatric rheumatology referral centres were retrospectively reviewed. CID was interpreted as the beginning of a transitional phase of clinical inactivity on a moderate glucocorticoid dose during which tapering was expected and defined as the absence of disease activity in clinical domains of SLEDAI, without haemolytic anaemia or gastrointestinal activity, in patients using <15 mg/day prednisolone treatment. Modified DORIS remission on treatment criteria were used to determine remission. Of the 124 patients included, 89.5% displayed SA at onset. Through follow-up, the rate of SA decreased to 43.3% at first CID and 12.1% at remission. Among the patients with CID, 24 (20.7%) experienced a moderate-to-severe flare before the attainment of remission. While previous proliferative LN [odds ratio (OR): 10.2, P: 0.01) and autoimmune haemolytic anaemia (OR: 6.4, P: 0.02) were significantly associated with increased odds of flare after CID, SA at CID was not associated with flare. In contrast, 21 (19.6%) patients experienced flare in a median of 18 months after remission. Hypocomplementemia (OR: 9.8, P: 0.02) and a daily HCQ dose of <5 mg/kg (OR: 5.8, P: 0.02) during remission significantly increased the odds of flare. SA during remission increases the odds of flare, but SA at CID does not. Suboptimal dosing of HCQ should be avoided, especially in children with SA in remission, to lower the risk of flares.

Proteomic analyses reveal cystatin c is a promising biomarker for evaluation of systemic lupus erythematosus

BackgroundSystemic lupus erythematosus (SLE) is an autoimmune disease with multiple organ involvement, especially the kidneys. However, the underlying mechanism remains unclear, and accurate biomarkers are still lacking. This study aimed to identify biomarkers to assess organ damage and disease activity in patients with SLE using quantitative proteomics.MethodsProteomic analysis was performed using mass spectrometry in 15 patients with SLE and 15 age-matched healthy controls. Proteomic profiles were compared in four main subtypes: SLE with proteinuria (SLE-PN), SLE without proteinuria (SLE-non-PN), SLE with anti-dsDNA positivity (SLE-DP), and SLE with anti-dsDNA negativity (SLE-non-DP). Gene ontology biological process analysis revealed differentially expressed protein networks. Cystatin C (CysC) levels were measured in 200 patients with SLE using an immunoturbidimetric assay. Clinical and laboratory data were collected to assess their correlation with serum CysC levels.ResultsProteomic analysis showed that upregulated proteins in both the SLE-PN and SLE-DP groups were mainly mapped to neutrophil activation networks. Moreover, CysC from neutrophil activation networks was upregulated in both the SLE-PN and SLE-DP groups. The associations of serum CysC level with proteinuria, anti-dsDNA positivity, lower complement C3 levels, and SLE disease activity index score in patients with SLE were further validated in a large independent cohort.ConclusionsNeutrophil activation is more prominent in SLE with proteinuria and anti-dsDNA positivity, and CysC is a promising marker for monitoring organ damage and disease activity in SLE.

Platelet to Lymphocyte Ratio and Neutrophils to Lymphocyte Ratio as Potential Markers for Lupus Nephritis Flares

Abstract Background Systemic lupus erythematosus is chronic autoimmune disorder with variable clinical presentations and multi-organ involvement. The disease has female predominance and unpredictable course. The aim of this study was to measure platelet to lymphocyte, neutrophil to lymphocyte ratios in patients with lupus nephritis. Subjects and Methods This study was conducted on patients of lupus nephritis either in Nephrology clinic&amp; Dialysis unit or admitted as inpatient in Ain Shams university Hospitals. For 60 Patients as two groups; the first group includes 30 SLE patients with ESRD. The second group includes of 30 lupus, and 3rd group 30 control healthy group. Results A highly significant difference was observed between lupus nephritis patients and healthy controls regarding neutrophil to lymphocyte ratio (p &amp;lt; 0.001) Conclusion In conclusion, NLR appear to be potentially useful biomarkers in lupus nephritis patients for disease activity and damage-compared with the other inflammatory cytokines as IL-6. Being easily obtained and cheap, they can be applied as predictors of not only disease activity and damage but also relapse and remission in lupus nephritis patients before applying other expensive and invasive measures. Dangerous disease activity and flares in SLE are unpredictable and represent a challenge in clinical practice.

The relationship of neutrophil-to-lymphocyte ratio with health-related quality of life, depression, and disease activity in SLE: a cross-sectional study.

The neutrophil-to-lymphocyte ratio (NLR) emerged as a potential biomarker in SLE, but its association with several outcomes remains unclear. We aimed to evaluate the relationship between NLR and SLE disease activity, damage, depression, and health-related quality of life. A cross-sectional study was conducted, including 134 patients with SLE who visited the Division of Rheumatology between November 2019 and June 2021. Demographics and clinical data including NLR, Safety of Estrogens in Lupus Erythematosus National Assessment-Systemic Lupus disease activity index (SELENA-SLEDAI), Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI), physician global assessment (PhGA), patient global assessment (PGA), patient health questionnaire (PHQ)-9, patient self-rated health, and lupus quality of life (LupusQoL) scores, were collected. Patients were stratified into two groups and compared using the NLR cut-off of 2.73, the 90th percentile value of healthy individuals. The analysis included t-test for continuous variables, χ2-test for categorical variables, and logistic regression adjusting for age, sex, BMI, and glucocorticoid use. Among the 134 SLE patients, 47 (35%) had an NLR ≥ 2.73. The NLR ≥ 2.73 group had significantly higher rates of severe depression (PHQ ≥ 15), poor/fair self-rated health, and the presence of damage (SDI ≥ 1). These patients also scored significantly lower in LupusQoL domains (physical health, planning, and body image), and higher in SELENA-SLEDAI, PhGA, and PGA. Logistic regression confirmed that high NLR is associated with severe depression (PHQ ≥ 15) (OR:7.23, 2.03-25.74), poor/fair self-rated health (OR:2.77,1.29-5.96), high SELENA-SLEDAI score(≥ 4) (OR:2.22,1.03-4.78), high PhGA (≥ 2) (OR:3.76, 1.56-9.05), and presence of damage (SDI ≥ 1) (OR:2.67, 1.11-6.43). High NLR in SLE may indicate depression, worse quality of life, active disease, and the presence of damage.

Modeling of clinical phenotypes in systemic lupus erythematosus based on the platelet transcriptome and FCGR2a genotype

BackgroundThe clinical heterogeneity of SLE with its complex pathogenesis remains challenging as we strive to provide optimal management. The contribution of platelets to endovascular homeostasis, inflammation and immune regulation highlights their potential importance in SLE. Prior work from our group showed that the Fcγ receptor type IIa (FcγRIIa)–R/H131 biallelic polymorphism is associated with increased platelet activity and cardiovascular risk in SLE. The study was initiated to investigate the platelet transcriptome in patients with SLE and evaluate its association across FcγRIIa genotypes and distinct clinical features.MethodsFifty-one patients fulfilling established criteria for SLE (mean age = 41.1 ± 12.3, 100% female, 45% Hispanic, 24% black, 22% Asian, 51% white, mean SLEDAI = 4.4 ± 4.2 at baseline) were enrolled and compared with 18 demographically matched control samples. The FCGR2a receptor was genotyped for each sample, and RNA-seq was performed on isolated, leukocyte-depleted platelets. Transcriptomic data were used to create a modular landscape to explore the differences between SLE patients and controls and various clinical parameters in the context of FCGR2a genotypes.ResultsThere were 2290 differentially expressed genes enriched for pathways involved in interferon signaling, immune activation, and coagulation when comparing SLE samples vs controls. When analyzing patients with proteinuria, modules associated with oxidative phosphorylation and platelet activity were unexpectedly decreased. Furthermore, genes that were increased in SLE and in patients with proteinuria were enriched for immune effector processes, while genes increased in SLE but decreased in proteinuria were enriched for coagulation and cell adhesion. A low-binding FCG2Ra allele (R131) was associated with decreases in FCR activation, which further correlated with increases in platelet and immune activation pathways. Finally, we were able to create a transcriptomic signature of clinically active disease that performed significantly well in discerning SLE patients with active clinical disease form those with inactive clinical disease.ConclusionsIn aggregate, these data demonstrate the platelet transcriptome provides insight into lupus pathogenesis and disease activity, and shows potential use as means of assessing this complex disease using a liquid biopsy.

Vagus nerve stimulation as a novel treatment for systemic lupus erythematous: study protocol for a randomised, parallel-group, sham-controlled investigator-initiated clinical trial, the SLE-VNS study

IntroductionSystemic lupus erythematosus (SLE) is a chronic autoimmune disease. SLE is treated with immunosuppressants with suboptimal efficacy and high risk of serious side effects. Patients with SLE have increased risk...

Urinary CD163 is a marker of active kidney disease in childhood-onset lupus nephritis.

The objective of this study was to evaluate the utility of urine CD163 for detecting disease activity in childhood-onset SLE (cSLE) patients. Sixty consecutive pediatric patients fulfilling four or more ACR criteria for SLE and 20 healthy controls were recruited for testing of urinary CD163 using ELISA. SLE disease activity was assessed using the SLEDAI-2K. Urine CD163 was significantly higher in patients with active LN than inactive SLE patients and healthy controls, with receiver operating characteristics area under the curve values ranging from 0.93 to 0.96. LN was ascertained by kidney biopsy. Levels of CD163 significantly correlated with the SLEDAI, renal SLEDAI, urinary protein excretion and C3 complement levels. Urine CD163 was also associated with high renal pathology activity index and chronicity index, correlating strongly with interstitial inflammation and interstitial fibrosis based on the examination of concurrent kidney biopsies. Urine CD163 emerges as a promising marker for identifying cSLE patients with active kidney disease. Longitudinal studies are warranted to validate the clinical utility of urine CD163 in tracking kidney disease activity in children with lupus.

Phenotypical changes and clinical significance of CD4+/CD8+ T cells in SLE

ObjectiveT cells display significant phenotypical changes and play multiple roles in promoting the immune response in SLE. The frequencies of T cell subpopulations in SLE are still not well understood....

Inflammatory markers in saliva and urine reflect disease activity in patients with systemic lupus erythematosus

BackgroundLaboratory tests of blood and sometimes urine are used to diagnose and to monitor disease activity (DA) in SLE. Clinical practice would be simplified if non-invasive urine and salivary tests...

Attainment of low disease activity and remission targets reduces the risk of severe flare and new damage in childhood lupus.

ObjectivesTo assess the achievability and effect of attaining low disease activity (LDA) or remission in childhood-onset SLE (cSLE).MethodsAttainment of three adult-SLE derived definitions of LDA (LLDAS, LA, Toronto-LDA), and four definitions of remission (clinical-SLEDAI-defined remission on/off treatment, pBILAG-defined remission on/off treatment) was assessed in UK JSLE Cohort Study patients longitudinally. Prentice–Williams–Petersen gap recurrent event models assessed the impact of LDA/remission attainment on severe flare/new damage.ResultsLLDAS, LA and Toronto-LDA targets were reached in 67%, 73% and 32% of patients, after a median of 18, 15 or 17 months, respectively. Cumulatively, LLDAS, LA and Toronto-LDA was attained for a median of 23%, 31% and 19% of total follow-up-time, respectively. Remission on-treatment was more common (61% cSLEDAI-defined, 42% pBILAG-defined) than remission off-treatment (31% cSLEDAI-defined, 21% pBILAG-defined). Attainment of all target states, and disease duration (>1 year), significantly reduced the hazard of severe flare (P < 0.001). As cumulative time in each target increased, hazard of severe flare progressively reduced. LLDAS attainment reduced the hazard of severe flare more than LA or Toronto-LDA (P < 0.001). Attainment of LLDAS and all remission definitions led to a statistically comparable reduction in the hazards of severe flare (P > 0.05). Attainment of all targets reduced the hazards of new damage (P < 0.05).ConclusionsThis is the first study demonstrating that adult-SLE-derived definitions of LDA/remission are achievable in cSLE, significantly reducing risk of severe flare/new damage. Of the LDA definitions, LLDAS performed best, leading to a statistically comparable reduction in the hazards of severe flare to attainment of clinical remission.

An enhanced mitochondrial function through glutamine metabolism in plasmablast differentiation in systemic lupus erythematosus.

To evaluate the dysfunction of B-cell metabolism and its involvement in SLE pathology. We assessed the expression of metabolic markers of B cells in the peripheral blood of healthy controls (HCs) and SLE patients by using flow cytometry. In vitro, peripheral B cells were isolated from HCs and SLE patients to investigate the metabolic regulation mechanisms involved in their differentiation. The expression level of DiOc6 (mitochondrial membrane hyperpolarization) was higher in B cells from SLE patients than in HCs, and correlated to the percentage of plasmablasts in CD19+ cells and with SLEDAI, a disease activity score. Stimulation of CD19+ cells with the Toll-like receptor 9 (TLR9) ligand CpG and IFN-α enhanced glycolysis, oxidative phosphorylation (OXPHOS), DiOc6 expression, and plasmablast differentiation in vitro. In the absence of glutamine, both glycolysis and OXPHOS were reduced, and plasmablast differentiation was suppressed, whereas there was no change in the absence of glucose. As glutamine is an important nutrient for protein synthesis, we further investigated the effect of the glutaminase inhibitor BPTES, which inhibits glutamine degradation, on metabolic regulation. BPTES reduced DiOc6 expression, OXPHOS, reactive oxygen species (ROS) production, adenosine triphosphate (ATP) production, plasmablast differentiation without affecting glycolysis. Metformin inhibited CpG- and IFN-α-induced glutamine uptake, mitochondrial functions and suppressed plasmablast differentiation. Mitochondrial dysfunction in B cells is associated with plasmablast differentiation and disease activity in SLE. Enhanced mitochondrial functions mediated by glutamine metabolism are important for plasmablast differentiation, which may be a potential therapeutic target for SLE.

Quick Systemic Lupus Activity Questionnaire (Q-SLAQ): a simplified version of SLAQ for patient-reported disease activity

ObjectivesMost indices of disease activity in SLE combine physicians’ assessments and laboratory tests. However, there is also a need to capture patients’ perspectives of disease activity. Consequently, we need new,...

The effects of disease activity on neuronal and behavioural cognitive processes in systemic lupus erythematosus.

Factors common across many chronic diseases, such as fatigue and depression affect cognitive dysfunction (CD) but the effect of SLE disease activity on CD remains unclear. We aimed to explore the effects of disease activity in SLE on cognitive function whilst taking into consideration other potential mediators. Two groups of SLE patients were recruited; stable/low disease activity (SLE-S, n = 36) and active disease (SLE-F, n = 26). The SLE-F group were studied during a flare; with a second visit when disease activity had reduced. In addition to demographic, clinical and psychiatric data, CD was measured using a computerised battery of tests (CANTAB®). Functional MRI (fMRI) was used to examine neuronal responses to working memory and emotional processing tasks. No differences between the groups/visits were found using the CANTAB® battery. The fMRI results showed that the SLE-F group had a less attenuated response in the medial prefrontal cortex (a default mode network-DMN region) compared with the SLE-S group during the working memory task (P=0.012). Exploratory correlations within the SLE-F group showed associations between neuronal responses and depression, cognitive fatigue, disease activity measures and IL-6. Functional brain processes but not cognitive behavioural measures were affected by disease activity. Flaring SLE patients were less able to suppress DMN regions during a working memory task. This could reflect emotional interference during cognitive tasks and may cause cognitive fatigue. A number of factors are associated with brain function in flaring patients, which has potential implications for holistic treatments.

Plasma checkpoint protein levels and galectin-9 in juvenile systemic lupus erythematosus.

SLE is a disease of the adaptive immune system where T lymphocyte dysfunction has an important role as well. We assessed the plasma levels of checkpoint receptors expressed on T cells, along with Galectin-9 to reflect type-1 IFN activity and IL-2Rα in childhood SLE patients. Forty-nine children with SLE and15 healthy controls were included. SLEDAI scores were evaluated at the time of sampling. CD25 (IL-2Rα), 4-1BB, B7.2 (CD86), TGF-β1, CTLA-4, PD-L1, PD-1, Tim-3, LAG- 3, Galectin-9 levels were studied by cytometric bead-based multiplex assay panel. Galectin-9 and PD-L1 were significantly higher in SLE patients. Other checkpoint proteins and IL-2Rα were also higher but did not reach statistical significance. There were significant correlations between SLEDAI and IL-2Rα, Galectin-9 and PDL1. There were three clinical clusters: Cluster 1 included patients with no major organ involvement, cluster 2 had predominantly haematological involvement(n=16) and cluster 3 (n=11) had predominantly renal involvement. Checkpoint proteins were not different among these three clusters. Our data supports that Galectin 9 and IL-2Rα are good markers for disease activity in childhood SLE. We need larger series to evaluate differences between disease clusters in SLE. We failed to show a significant correlation with checkpoint proteins and SLEDAI except for PDL1.

Do anti-DFS70 antibodies temper disease activity and progression in SLE?

Do anti-DFS70 antibodies temper disease activity and progression in SLE?

Algorithm for calculating high disease activity in SLE.

The ability to identify lupus patients in high disease activity status (HDAS) without knowledge of the SLEDAI could have application in selection of patients for treatment escalation or enrolment in trials. We sought to generate an algorithm that could calculate via model fitting the presence of HDAS using simple demographic and laboratory values. We examined the association of high disease activity (HDA) with demographic and laboratory parameters using prospectively collected data. An HDA visit is recorded when SLEDAI-2K ≥10. We utilized the use of combinatorial search to find algorithms to build a mathematical model predictive of HDA. Performance of each algorithm was evaluated using multi-class area under the receiver operating characteristic curve and the final model was compared with the naïve Bayes classifier, and analysed using the confusion matrix for accuracy and misclassification rate. Data on 286 patients, followed for a median of 5.1 years were studied for a total of 5680 visits. Sixteen laboratory parameters were found to be significantly associated with HDA. A total of 216 algorithms were evaluated and the final algorithm chosen was based on seven pathology measures and three demographic variables. It has an accuracy of 88.6% and misclassification rate of 11.4%. When compared with the naïve Bayes classifier [area under the curve (AUC) = 0.663], our algorithm has a better accuracy with AUC = 0.829. This study shows that building an accurate model to calculate HDA using routinely available clinical parameters is feasible. Future studies to independently validate the algorithm will be needed to confirm its predictive performance.