Type I interferon associated epistasis may contribute to early disease-onset and high disease activity in juvenile-onset lupus.

Pathologic type I interferon (T1IFN) expression is a key feature in systemic lupus erythematosus (SLE) that associates with disease activity. When compared to adult-onset disease, juvenile-onset (j)SLE is characterized by increased disease activity and damage, which likely relates to increased genetic burden. To identify T1IFN-associated gene polymorphisms (TLR7, IRAK1, miR-3142/miR-146a, IRF5, IRF7, IFIH1, IRF8, TYK2, STAT4), identify long-range linkage disequilibrium and gene:gene interrelations, 319 jSLE patients were genotyped using panel sequencing. Coupling phenotypic quantitative trait loci (QTL) analysis identified 10 jSLE QTL that associated with young age at onset (<12 years; IRAK1 [rs1059702], TLR7 [rs3853839], IFIH1 [rs11891191, rs1990760, rs3747517], STAT4 [rs3021866], TYK2 [rs280501], IRF8 [rs1568391, rs6638]), global disease activity (SLEDAI-2 K >10; IFIH1 [rs1990760], STAT4 [rs3021866], IRF8 [rs903202, rs1568391, rs6638]), and mucocutaneous involvement (TLR7 [rs3853839], IFIH1 [rs11891191, rs1990760]). This study suggests T1IFN-associated polymorphisms and gene:gene interrelations in jSLE. Genotyping of jSLE patients may allow for individualized treatment and care.

Association of disease activity with depression and anxiety in systemic lupus erythematosus: A comparison of SLEDAI-2K and SLE-DAS.

OBJECTIVE: To explore the association of disease activity, as evaluated by both the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) and the Systemic Lupus Erythematosus Disease Activity Index-2000 (SLEDAI-2K), with depression and anxiety in patients with systemic lupus erythematosus (SLE). METHODS: A cross-sectional study was conducted among 85 Chinese patients with SLE. Disease activity was measured using SLEDAI-2K and SLE-DAS scoring systems. Depression and anxiety were assessed using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder Scale-7 (GAD-7), respectively. Multivariate logistic regression analysis was performed to evaluate the association of disease activity scores, as well as specific clinical and laboratory items, with depression and anxiety. RESULTS: There was a robust correlation between SLEDAI-2K and SLE-DAS scores in overall patients (Spearman's r = 0.764, 95% confidence interval (CI) 0.655-0.842; p< 0.001) and those with moderate-to-high disease activity (Spearman's r = 0.792, 95%CI 0.616-0.892; p< 0.0001). However, the correlation weakened for patients with mild disease activity or remission (Spearman's r = 0.450, 95%CI 0.188-0.652; p= 0.001). Multivariate logistic regression analysis did not show a significant correlation between SLEDAI-2K and SLE-DAS scores and depression/anxiety. The presence of mucosal ulcer/serositis significantly increased the risk of depression (OR = 4.472, 95%CI 1.035-19.328, p= 0.045) and anxiety (OR = 3.978, 95%CI 1.051-15.049, p= 0.042). CONCLUSION: The SLE-DAS scoring system demonstrated a comparable ability to assess disease activity in SLE compared with SLEDAI-2K. Though neither scoring system showed significant associations with depression and anxiety, the presence of mucosal ulcer/serositis markedly heightened the risk of both among SLE patients.

Long-term outcomes of childhood-onset systemic lupus erythematosus.

OBJECTIVE: Data on the long-term outcome of patients with childhood-onset Systemic Lupus Erythematosus (cSLE) are scarce. Aims of this study were to describe the long-term outcomes of cSLE and to identify factors associated with the development of damage and persistent disease activity. METHODS: We conducted a retrospective multicentre study using data from the PEDIALUP registry of the Juvenile Inflammatory Rheumatism (JIR) cohort database. Demographic characteristics, clinical manifestations, laboratory, radiological, histological and treatment data were collected from medical records during follow-up. RESULTS: A total of 138 patients with cSLE, diagnosed between 1971 and 2015, were included. With a median follow-up of 15.4 [9.6-22.4] years, 51% of patients had a SLICC-Damage Index score ≥ 1 at last follow-up with the musculoskeletal, cutaneous, renal, neurological, and cardiovascular damage being the most common manifestations. The proportion of patients with a SLICC-DI score ≥ 1 increased significantly with the duration of the follow-up (p< 0.001). On multivariate analysis, duration of follow-up was associated with increased risk of cumulative damage (OR 1.08, 95% CI 1.01, 1.15, p= 0.035). At the last visit, 34% of patients still had active disease with a SLEDAI score of ≥ 6. On multivariate analysis, Sub-Saharan African ethnicity was associated with 7-fold increased odds of having active disease at the last visit compared with Caucasians (OR 7.44, 95% CI 2.24, 24.74, p= 0.0002). CONCLUSION: The prevalence of damage remains high in patients with cSLE even when the diagnosis of c-SLE has been made in the recent decades.

Decrease of left ventricular function measured by speckle-tracking echocardiography based on systemic lupus erythematosus severity in children.

INTRODUCTION: Systemic lupus erythematosus in children generally manifests more severely with a more aggressive disease course. Cardiac involvement in systemic lupus erythematosus often does not show specific signs and symptoms, but speckle-tracking echocardiography can detect cardiac dysfunction. This study aimed to determine the differences in left ventricular function as measured by speckle-tracking echocardiography in children with various severity of systemic lupus erythematosus activity. METHODS: A cross-sectional study of 49 children diagnosed with systemic lupus erythematosus are currently undergoing outpatient or inpatient care at Dr Hasan Sadikin General Hospital, Bandung, from May 2023 to June 2023. Disease activity was assessed by Mexican Version of the Systemic Lupus Erythematosus Disease Activity Index (MEX-SLEDAI) with a score of 2-5 classified as mild activity, 6-9 as moderate, and ≥10 as severe. Each subject underwent conventional echocardiography and speckle-tracking echocardiography with a Philips EPIQ machine performed by a Pediatric Cardiologist Consultant 10 days after inclusion. RESULTS: Fifteen (30.6%) subjects had mild disease activity, and 34 (69.4%) subjects had moderate disease activity. Most subjects (81.96%) were female with an average age of 15 years. The mean ejection fraction and fractional shortening as well as the median E/A ratio in the mild and moderate disease activity groups were not significantly different (65.76 versus 67.38%, 35.73 versus 37.11%, 1.6 versus 1.5%, respectively, p > 0.005). The global longitudinal strain in the moderate activity group was reduced more significantly than in the mild activity group (-16.58 versus -19.65, p = 0.008). CONCLUSION: Left ventricular function as measured by speckle-tracking echocardiography was lower in children with moderate systemic lupus erythematosus activity than those with mild disease activity.

Usefulness in daily practice of the Systemic Lupus Erythematosus Disease Activity Index 2000 scale and the Systemic Lupus Erythematosus Disease Activity Score index for assessing the activity of systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by high heterogeneity of clinical manifestations and an uncertain prognosis. Although the mortality rate due to SLE has decreased significantly in recent decades, there is still a need to find good tools to measure disease activity for early detection of exacerbations and treatment planning. Over the decades, more than a dozen disease activity scales/indicators have been developed, with the SLE Disease Activity Index (SLEDAI) being the most popular. More recently, the new SLE Disease Activity Score (SLE-DAS) has been introduced. This paper compares the two methods of assessing SLE activity, and presents the relevance of these scales in pregnant SLE patients and their use in formulating definitions of remission and low disease activity. The results show that the SLEDAI and the SLE-DAS are of comparable value in assessing SLE activity and complement each other.

Serum proteome and metabolome uncover novel biomarkers for the assessment of disease activity and diagnosing of systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is an autoimmune disease affecting thousands of people. There are still no effective biomarkers for SLE diagnosis and disease activity assessment. We performed proteomics and metabolomics analyses of serum from 121 SLE patients and 106 healthy individuals, and identified 90 proteins and 76 metabolites significantly changed. Several apolipoproteins and the metabolite arachidonic acid were significantly associated with disease activity. Apolipoprotein A-IV (APOA4), LysoPC(16:0), punicic acid and stearidonic acid were correlated with renal function. Random forest model using the significantly changed molecules identified 3 proteins including ATRN, THBS1 and SERPINC1, and 5 metabolites including cholesterol, palmitoleoylethanolamide, octadecanamide, palmitamide and linoleoylethanolamide, as potential biomarkers for SLE diagnosis. Those biomarkers were further validated in an independent cohort with high accuracy (AUC = 0.862 and 0.898 for protein and metabolite biomarkers respectively). This unbiased screening has led to the discovery of novel molecules for SLE disease activity assessment and SLE classification.

Comparisons of SLE-DAS and SLEDAI-2K and classification of disease activity based on the SLE-DAS with reference to patient-reported outcomes.

OBJECTIVES: Although the SLE Disease Activity Score (SLE-DAS) and its definitions to classify disease activity have been recently developed to overcome the drawbacks of the SLE Disease Activity Index 2000 (SLEDAI-2K), the performance of the SLE-DAS for patient-reported outcomes (PROs) has not been fully examined. We aimed to compare SLE-DAS with SLEDAI-2K and validate the classifications of disease activity based on SLE-DAS in terms of PROs. METHODS: We assessed generic quality of life (QoL) using the Medical Outcome Survey 36-Item Short-Form Health Survey (SF-36), disease-specific QoL using the lupus patient-reported outcome tool (LupusPRO), burden of symptoms using the SLE Symptom Checklist (SSC), patient global assessment (PtGA) and physician global assessment (PhGA). RESULTS: Of the 335 patients with SLE, the magnitudes of the mean absolute error, root mean square error, Akaike information criterion, and Bayesian information criterion were comparable for most PROs between the SLE-DAS and SLEDAI-2K. In contrast, SLEDAI-2K had a higher predictive value for health-related QoL of LupusPRO and PtGA than SLE-DAS. Low disease activity, Boolean and index-based remission and categories of disease activity (remission, mild and moderate/severe activity) were significantly associated with health-related QoL in LupusPRO, SSC and PhGA, but not SF-36 or PtGA. CONCLUSION: No clear differences were identified in the use of the SLE-DAS over the SLEDAI-2K in assessing PROs in patients with SLE. The classification of disease activity based on the SLE-DAS was validated against several PROs. SLE-DAS and its categories of disease activity effectively explain some of the PROs.

Impact of follow-up adherence on disease activity in childhood-onset systemic lupus erythematosus (cSLE).

BACKGROUND/PURPOSE: Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease, with a potential for significant disease damage, morbidity, and mortality. In comparison to the adult population, childhood-onset SLE (cSLE) tends to be more aggressive given the higher preponderance of renal and neuropsychiatric disease and increased disease activity. There is a paucity of literature examining relationship between disease activity, rheumatology follow-up visits, and health care utilization. The objective of this study is to determine whether adherence with outpatient clinic visits would affect disease activity in patients with childhood-onset systemic lupus erythematosus (cSLE). METHODS: 41 children <18 years of age at time of diagnosis with SLE who met Systemic Lupus International Collaborative Clinics (SLICC) criteria and not evaluated in clinic within the previous 120-day period were identified as eligible for inclusion. Patients were continuously searched between December 2021 and July 2022 for eligibility evaluation. Through retrospective chart review, we assessed disease activity (SLE Disease Activity Index) at the last clinic visit. The patients were stratified into two cohorts of lower and higher disease activity, with SLE disease activity index (SLEDAI) ≤ 3 and SLEDAI ≥ 4, respectively. Descriptive statistics and Willcox Rank Sum (numerical variables) and Fisher's test (categorical variables) were used to compare these two groups. RESULTS: Clinical, epidemiological, and serological data were compared between the two groups, with observed statistically significant differences to include current use of high dose prednisone associated with higher SLEDAI scores (p = 0.019). In nonparametric analysis, time to follow-up (p < 0.001), hospitalizations (p = 0.017), and Emergency Department visits (ED) (p < 0.001) were found to be associated with higher SLEDAI scores. CONCLUSION: Our findings suggest that cSLE patients with higher disease activity are at risk for increased health care utilization with respect to ED visits as well as hospitalizations in the setting of follow-up nonadherence. While further studies are required to enhance our understanding of this association, this links the importance of disease-related outcome and routine outpatient visits in this particularly vulnerable patient population.

A single-center model for implementation of SLEDAI documentation adherence in childhood-onset systemic lupus erythematosus (cSLE).

BACKGROUND: Childhood-onset systemic lupus erythematosus (cSLE) is an autoimmune disease with variable disease expression but noted association with significant disease-related damage, morbidity, and mortality. The European Alliance of Associations for Rheumatology (EULAR) recommends routine monitoring of SLE through validated disease activity and chronicity indices, including the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI). Despite this, physician adherence with SLEDAI documentation remains elusive at various academic institutions. The aim of our study was to determine baseline SLEDAI documentation rates at our center and assess the change in adherence in SLEDAI documentation rate with electronic clinical decision support (CDS) reminders facilitated through the electronic medical record (EMR) over a 2-year period. METHODS: All SLE encounters over a 24-month period at a pediatric academic center were reviewed in order to obtain baseline SLEDAI documentation percentages. Physicians subsequently received monthly email reminders, initiated at month 4 of project initiation, with subsequent CDS reminder 13 months after project initiation prompted by anti-dsDNA lab result. Chart review was repeated continuously for each provider, and SLEDAI documentation rates were emailed to each provider monthly. Physicians completed a post-intervention survey regarding barriers to SLEDAI documentation at the end of the study. RESULTS: A total of 1980 SLE encounters were reviewed for this study. Baseline SLEDAI documentation rates were 10%. Following the introduction of monthly emails reminding physicians to document SLEDAI, rates increased to 55%. After the initiation of electronic in-basket reminders prompted by lab results, rates increased to 60%. Noted barriers to documentation were cited to be forgetfulness (67%) and lack of time (33%). CONCLUSION: Our study demonstrates that monthly email reminders as well as EMR-mediated electronic in-basket reminders increased SLEDAI documentation rates at an academic center. Noted barriers to documentation were reported to be forgetfulness (67%) and lack of time (33%).

Pulmonary involvement: A potential independent factor for quality of life in systemic lupus erythematosus.

BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic multi-systemic autoimmune disease. SLE patients may experience a wide range of physical, psychological, and social perception of well-being influenced by the patient illness that are not always fully captured by descriptions of the disease's physiological consequences alone. Nowadays, patients with SLE have a better survival than decades ago, nevertheless still experience a low health related quality of life (HRQoL). Assessing disease activity in SLE is crucial to the physician as it forms the basis for treatment decisions, moreover careful evaluation for respiratory involvement should be routinely considered. More chronic lung disease related to SLE can have a significant negative effect on patient well-being and physical performance status and are detrimental to quality of life. OBJECTIVE: The aim of this study was to evaluate quality of life changes in SLE patients using Lupus QoL scale, assessing their correlation with different disease aspects particularly pulmonary manifestations and predictors for worse QoL. MATERIALS AND METHODS: Total of 60 SLE patients, who fulfilled the 2012 Systemic Lupus International Collaborating Clinics (SLICC) criteria, were enrolled in this study. Disease activity was measured by systemic lupus erythematosus disease activity index (SLEDAI) and quality of life was assessed by Lupus QoL. Pulmonary evaluation included pulmonary function tests parameters (PFTs), mMRC dyspnea scale, HRCT score, and pulmonary damage index. RESULTS: Lupus QoL had a strong significant correlations with PFTs FEV1, FVC, and DLCO (r = 0.79, 0.78, 0.76, p < .001), respectively}, while Lupus QoL had strong negative correlations with both mMRC dyspnea scale and HRCT score (r = -0.96, -0.85, p < .001), respectively, and moderate negative correlation with neuropsychiatric lupus (NPSLE) (r = -0.61, p < .001). Weak negative correlations were found between Lupus QoL, photosensitivity, alopecia, Raynaud's and renal affection (r = -0.29, -0.30, -0.30, 0.38, p = .03, .02, .02, .002), respectively. NPSLE and pulmonary involvement were the most consistent predictors of low HRQoL [contributing 36% and 18% of the variance of Lupus QoL], respectively. CONCLUSION: Lupus QoL is negatively correlated with different SLE clinical parameters particularly pulmonary manifestations. Neuropsychiatric, pulmonary, renal affection, and SLEDAI are the best determinants for worse Lupus QoL.

Serum pentraxin 3 in systemic lupus erythematosus: A potential indicator of cutaneous disease activity.

BACKGROUND: Although skin manifestations are common in systemic lupus erythematosus (SLE), there is still a lack of a diagnostic marker for cutaneous involvement. Pentraxin3 (PTX3) has been studied in SLE patients; however, it has not been investigated in relation to cutaneous manifestations. OBJECTIVE: To assess the serum PTX3 level in SLE patients, and to investigate its relationship with disease activity as well as with variable skin manifestations. PATIENTS AND METHODS: Thirty-four patients with SLE (17 patients with skin manifestations and 17 without) and 30 healthy subjects were included in the study. Patients were evaluated clinically for systemic and skin manifestations of SLE. Systemic Lupus Erythematosus Disease Activity Index (SLEDAI-2k) and Cutaneous Lupus Erythematosus Activity and Severity Index (CLASI) scores were calculated. Serum level of PTX3 was measured in patients and controls using ELISA. RESULTS: Higher serum PTX3 level was found in SLE patients compared to controls (p < 0.001). Patients with skin manifestations showed higher SLEDAI-2k scores and had higher PTX3 level compared to those without skin manifestations (p = 0.015 and p < 0.001, respectively). PTX3 showed higher levels in association with malar rash (p < 0.001), mucosal ulcers (p < 0.001), alopecia (p < 0.001), and purpuric eruption (p = 0.002). Moreover, PTX3 level positively correlated with CLASI scores (p < 0.001). CONCLUSION: Our results reinforce the important role of Pentraxin3 in SLE patients with skin manifestations, and it may be considered an interesting biomarker for the pattern and extent of cutaneous involvement in SLE.

Increased frequency of hospital admissions with active systemic lupus erythematosus disease activity defined by two different disease activity indices: A cohort study.

The objective of this cohort study was to evaluate the association between the frequency of hospital admissions and disease activity, as defined by two different disease activity measurements: the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) and the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K), in adult patients with systemic lupus erythematosus (SLEs). Patients with SLE were recruited from the rheumatology outpatient department of a regional hospital in southern Taiwan. SLE-DAS and SLEDAI-2K were used to define SLE disease activity and the cause of hospital admissions was identified by a rheumatologist based on medical records. A generalized linear model (GLM) with gamma distribution and log-linked function was used to analyze variables associated with the frequency of admission. The mean frequency of hospitalization was 0.34 times per year for all-cause and 0.21 times per year for SLE-related admission. Multivariate GLM analysis showed that moderate/severe SLE disease activity defined by SLE-DAS was associated with an increased frequency of all-cause and SLE-related hospital admissions while adjusting for other covariates. Moderate/severe SLE disease activity defined by SLEDAI-2K was only significantly associated with an increased frequency of all-cause hospitalization. When steroid dosage was included in the model, moderate/severe SLE disease activity defined by the SLE-DAS remained significantly associated with SLE-related hospital admissions (p = 0.032). In conclusion, disease activity defined by the SLE-DAS, but not SLEDAI-2K was associated with an increased frequency of SLE-related hospitalization. Steroid dosage, a lower educational level, and smoking were associated with an increased frequency of hospital admissions, whereas underweight and alcohol use were associated with a decreased frequency of hospital admissions. Rheumatologists should promptly control SLE disease activity of their patients, provide them with adequate health education, and maintain steroid doses to as low as possible to reduce the risk of hospital admissions.

Phenotype and disease course differences in monogenic and sporadic childhood lupus.

OBJECTIVE: To report the differences in phenotypic characteristics, disease course, and outcome in monogenic and sporadic childhood lupus (SC-lupus) from a single tertiary childhood lupus clinic. METHODS: A descriptive, observational, cross-sectional study was conducted. Data were retrospectively collected at the last follow-up visit on patients with monogenic lupus proven by genetic variants and SC-lupus seen between June 1997 and July 2022. SC-lupus patients were selected by systematic sampling from lupus patients presenting to our lupus clinic; the first patient was chosen randomly, and the subsequent patients were chosen at intervals of three. Data comprised the clinical and laboratory findings, disease activity using the SLEDAI, and damage measured by the pSDI. RESULTS: A total of 54 patients with a median disease duration of 6.8 (IQR 3.5-10.5) years were included. There were 27 patients with monogenic lupus and 27 patients with SC-lupus, with a median age at disease onset of 3.5 (IQR 1.0-6.0), and 9.5 (IQR 7.0-11.8), respectively. (p < 0.05). The rate of consanguinity and family history of lupus were higher in monogenic lupus patients. The two groups were comparable. However, monogenic lupus patients showed more gastrointestinal tract symptoms, and failure to thrive (p < 0.05). They also had more infections. The frequency of the autoantibody profile was higher in monogenic lupus patients. Belimumab was more frequently used in monogenic lupus while rituximab in SC-lupus patients. Monogenic lupus patients had a higher mean SLEDAI, but statistically, it was insignificant. Patients with monogenic lupus had greater disease damage, with a higher mean pSDI and a higher mortality rate (p < 0.05). CONCLUSION: Patients with monogenic lupus are likely to have an early disease onset and a strong family history of lupus, as well as a guarded prognosis, which is likely due to the disease's severity and frequent infections. These differences may be related to the high consanguinity rate and underlying genetic variants.

BAFFR expression in circulating T follicular helper (CD4+CXCR5+PD-1+) and T peripheral helper (CD4+CXCR5-PD-1+) cells in systemic lupus erythematosus.

BACKGROUND: Circulating T follicular helper (cTfh) and T peripheral helper (Tph) subpopulations are shown to be higher in systemic lupus erythematosus (SLE) patients and have been involved in promoting extrafollicular B cell responses. However, a possible association with the B cell activating factor (BAFF), a cytokine mainly related to B cell responses and disease activity in SLE, has not been investigated. Therefore, this study aimed to evaluate the association of cTfh and Tph subpopulations with the BAFF system expression and clinical activity in SLE patients. METHODS: This study included 43 SLE patients and 12 healthy subjects (HS). The identification of cTfh (CD4+CXCR5+PD-1+), Tph (CD4+CXCR5-PD-1+) cells, expression of membrane-bound BAFF (mBAFF), BAFFR, TACI, BCMA, and intracellular IL-21 was performed by flow cytometry. Serum levels of IL-21, CXCL13, and BAFF were analyzed using ELISA. The SLEDAI-2K score was used to evaluate disease activity in SLE patients. RESULTS: Compared with HS, SLE patients showed a significantly increased percentage of cTfh and Tph cells, higher in patients with clearly active disease. SLE patients had markedly higher IL-21-producing cTfh and Tph cells than HS. Both subpopulations were positively correlated with the disease activity in SLE patients. Tph cells were negatively correlated with CD19+CXCR5+ B cells and positively correlated with CD19+CXCR5- B cells. A low expression of mBAFF and their receptors TACI and BCMA was found on cTfh and Tph cells in SLE patients and HS. However, SLE patients with clearly active disease showed decreased expression of BAFFR on cTfh and Tph subpopulations than patients with mildly active/nonactive disease. Serum IL-21, CXCL13, and BAFF levels were higher in SLE patients than in HS. Levels of CXCL13 were correlated with disease activity. Non-significant correlations were observed among T cell subpopulations and IL-21, CXCL13, and BAFF levels. CONCLUSIONS: This study emphasizes the importance of cTfh and Tph cells in SLE pathogenesis. Besides the importance of IL-21, our results suggest that BAFFR could play a role in cTfh and Tph subpopulations in the autoimmunity context.

Systemic lupus erythematosus with high disease activity identification based on machine learning.

OBJECTIVE: Clinical evaluation of systemic lupus erythematosus (SLE) disease activity is limited and inconsistent, and high disease activity significantly, seriously impacts on SLE patients. This study aims to generate a machine learning model to identify SLE patients with high disease activity. METHOD: A total of 1014 SLE patients with low disease activity and 453 SLE patients with high disease activity were included. A total of 94 clinical, laboratory data and 17 meteorological indicators were collected. After data preprocessing, we use mutual information and multisurf to evaluate and select the importance of features. The selected features are used for machine learning modeling. Performance of the model is evaluated and verified by a series of binary classification indicators. RESULTS: We screened out hematuria, proteinuria, pyuria, low complement, precipitation, sunlight and other features for model construction by integrated feature selection. After hyperparameter optimization, the LGB has the best performance (ROC: AUC = 0.930; PRC: AUC = 0.911, APS = 0.913; balance accuracy: 0.856), and the worst is the naive bayes (ROC: AUC = 0.849; PRC: AUC = 0.719, APS = 0.714; balance accuracy: 0.705). Finally, the selection of features has good consistency in the composite feature importance bar plot. CONCLUSION: We identify SLE patients with high disease activity by a simple machine learning pipeline, especially the LGB model based on the characteristics of proteinuria, hematuria, pyuria and other feathers screened out by collective feature selection.

The correlation of anxiety and depression with C3 and C4 Levels and systemic lupus erythematosus activity.

BACKGROUND: Anxiety and depression are psychosomatic disorders that are frequently observed in chronic conditions such as systemic lupus erythematosus (SLE). Anxiety and depression can be induced by immunological and neurotransmitter dysregulation, which is characterized by hypothalamic-pituitary-adrenal (HPA) axis dysfunction, production of proinflammatory cytokines, and activation of complement in the blood, such as C3 and C4. The causes of anxiety and depression in SLE are complex, ranging from neuropsychiatric involvement to drug adverse effects. Detecting anxiety and depression symptoms in SLE patients is critical to preventing disability from impacting quality of life. OBJECTIVE: To assess the relationship between anxiety and depression symptomatology, SLE disease activity with levels of C3 and C4 in Cipto Mangunkusumo National Hospital. METHODS: This study used a cross-sectional design. The study included 120 SLE patients from Cipto Mangunkusumo National Hospital, aged 18 to 60 years. All patients were requested to complete a Hospital Anxiety and Depression Scale (HADS) questionnaire to assess their anxiety and depression symptoms. Subjects with anxiety and depression were assessed for disease activity using the Mexican Systemic Lupus Erythematosus Systemic Disease Activity (Mex-SLEDAI), and blood samples were collected to test complement C3 and C4 levels. Spearman's correlation test was used to examine the relationship between HADS scores, Mex-SLEDAI, and C3 and C4 levels. RESULTS: The results of the study showed a very weak statistically significant negative correlation between anxiety symptoms based on HADS and C3 levels (r = -0.189; p = 0.038) and a weak correlation between anxiety symptoms and C4 levels (r = -204; p = 0.026). Depressive symptoms based on HADS revealed a very poor connection and no statistical significance with levels of C3 (r = -0.056; p = 0.546) and C4 (r = -0.068; p = 0.461). Anxiety (r = 0.06; p = 0.173) and depression (r = 0.031; p = 0.753) symptoms have a weak and insignificant positive connection with SLE activity. CONCLUSION: C3 and C4 serum levels appeared to decrease when the presence of anxious symptoms increased. There was no significant correlation in SLE disease activity between anxious and depressed patients.

Performance of a New Instrument for the Measurement of Systemic Lupus Erythematosus Disease Activity: The SLE-DAS.

Systemic lupus erythematosus (SLE) is a chronic systemic autoimmune disease that affects multiple organ systems and manifests in a relapsing-remitting pattern. Consequently, it is paramount for rheumatologists to assess disease activity, identify flare-ups, and establish treatment goals for patients with SLE. In 2019, the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) was introduced as a novel tool for measuring disease activity. This tool refines the parameters of the established SLE Disease Activity Index 2000 (SLEDAI-2K) to enhance the assessment process. This review aims to provide an introduction to the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) and summarizes research on its development, its comparison with existing disease activity measures, and its performance in clinical settings. Literature searches on PubMed using the keyword "SLE-DAS" were conducted, covering publications from March 2019 to September 2023. Studies that compared SLE-DAS with other SLE disease activity measurement tools were reviewed. Findings indicated that SLE-DAS consistently performs on par with, and sometimes better than, traditional measures in assessing clinically meaningful changes, patient improvement, disease activity, health-related quality of life, hospitalization rates, and disease flare-ups. The association between SLE-DAS and mortality rates among patients with SLE, however, remains to be further explored. Although SLE-DAS is a promising and potentially effective tool for measuring SLE disease activity, additional research is needed to confirm its effectiveness and broaden its clinical use.

The correlation between proteoglycan 2 and neuropsychiatric systemic lupus erythematosus.

The proposed pathogenesis of neuropsychiatric systemic lupus erythematosus (NPSLE) mainly includes ischemia and neuroinflammation mechanisms. Protein encoded by Proteoglycan 2 (PRG2) mRNA is involved in the immune process related to eosinophils, also being found in the placenta and peripheral blood of pregnant women. We evaluated the correlation between PRG2 and NPSLE for the first time and found that PRG2 protein was overexpressed in the serum of patients with NPSLE and correlated with the SLE disease activity index (SLEDAI) subset scores of psychosis. Moreover, we investigated the correlation between hippocampal PRG2 level and hippocampally dependent learning and memory ability in MRL/lpr mice, and discovered that the number of PRG2+GFAP+ astrocytes in the cortex and hypothalamus and the number of PRG2+IBA-1+ microglia in the hippocampus and cortex significantly increased in the MRL/lpr mice. These data provided a reference for the follow-up exploration of the role of PRG2 in SLE or other diseases.

A cluster of type II interferon-regulated genes associates with disease activity in patients with systemic lupus erythematosus.

Upregulation of interferon-regulated genes (IRGs), denoted IFN signature, in peripheral blood has been used as an indirect measure of IFN pathway activation in patients with systemic lupus erythematosus (SLE). However, it has not been determined, which IFN signatures that optimally reflect clinical disease activity. In this study, we determined an IFN signature based on the expression of 128 IRGs in whole blood from 34 SLE patients in a cross-sectional (CS) study, 11 with active lupus nephritis followed longitudinally (LS) and 15 healthy controls. Blood samples were collected in PAXgene tubes and RNA was extracted and purified using a PAXgene blood RNA kit (Qiagen). Gene expression was measured using the NanoString nCounter Gene Expression platform. The CS SLE patients with higher disease activity displayed thrice as many upregulated IRGs (n = 46) as the rest. These IRGs clustered in three groups, consisting of IRGs known to be predominantly stimulated by type I (gene cluster K1) and type II (gene clusters K2 and 3) IFNs. SLEDAI-2K scores associated with the K2 and K3 gene scores (ß = 0.372 and ß = 0.419, both p < 0.015) but not with K1. In the longitudinal study, the mean SLEDAI-2K score decreased after an average follow-up of 360 days (ß = -2.08, P = 5.09 × 10-12). The mean K1, K2 and K3 gene scores did not change over time, however longitudinal changes in SLEDAI-2K and K3 scores were associated (ß = 0.814, p = 0.007). This study validates the presence of type I IRG subsets that do not associate with disease activity in SLE patients. The novel finding in this study is the association between a type II IRG subset and disease activity. Both findings may have significant implications for choosing IRGs defining clinically relevant IFN signatures.

Role of micro-RNA132 and its long non coding SOX2 in diagnosis of lupus nephritis.

BACKGROUND: The skin and the kidney are commonly affected in systemic lupus erythematosus (SLE) with similar molecular mechanisms. Although clinical indicators of renal injury in SLE are fairly uncontroversial, few biomarkers are reliable. The role of micro-RNAs (mi-RNAs) in lupus nephritis (LN) pathogenesis has been investigated to help in early diagnosis. PURPOSE: The aim of work is to evaluate miRNA132 and SOX2 expressions in SLE Egyptian patients; with and without nephritis, and the relation between miRNA132 and its long non-coding gene SOX2 in both patients groups. RESEARCH DESIGN: This is a case-control study involving 100 SLE patients with and without LN (LN and non-LN groups), and 50 age-and sex-matched healthy controls. The study was carried out to detect miRNA132 and SOX2 expression by quantitative Real-Time Polymerase chain reaction methods. The SLE disease activity index (SLEDAI) was assessed. RESULTS: SLEDAI increased in LN compared to non-LN. Micro-RNA132 expression was significantly increased in patient groups compared to controls (p<0.01) and increased in LN more than non-LN group (p<0.001). SOX2 significantly decreased in patient groups compared to controls (p<0.001), and was more in LN compared to non-LN group (p<0.001). There was a negative correlation between miRNA132 and SOX2 expression in both patient groups (p<0.001). CONCLUSION: miRNA132 and SOX2 may play a role in SLE activity and help in the early non-invasive diagnosis of LN.