Non-thyroidal disease syndrome in patients with systemic lupus erythematosus: relation to disease inflammatory activity

OBJECTIVE

To identify risk factors for the development of non-thyroidal illness syndrome (NTIS) in patients with systemic lupus erythematosus (SLE).

METHODS

A retrospective analysis of 517 SLE patients and 1034 age-and sex-matched healthy population was conducted to compare the prevalence of NTIS in these two groups, and to analyze the laboratory and clinical characteristics of SLE patients with NTIS. Finally Logistic regression analysis was used to determine the risk factors for NTIS in SLE patients.

RESULTS

The prevalence of NTIS in the SLE patients was significantly higher than that in controls (39.7% vs. 1.0%, P < 0.001). In SLE patients, compared with euthyroidism patients, NTIS patients exhibited higher levels of neutrophils, hepatic enzymes, kidney damage markers, inflammatory markers and SLE disease activity index (SLEDAI). They also had a higher incidence of organ insufficiency and positive antibodies such as anti-ds-DNA antibodies and anti-SSA antibodies. However, NTIS patients had lower levels of hemoglobin, lymphocytes, platelets, serum albumin, and complement. Additionally, NTIS patients had a shorter duration of lupus and lower utilization of disease-modifying antirheumatic drugs (DMARDs) (P < 0.05). Logistic regression analysis showed that elevated SLEDAI (OR = 1.060, 95%CI 1.022-1.099, P = 0.002), elevated systemic immune-inflammation index (SII) (OR = 1.003, 95%CI 1.001-1.007, P = 0.026), elevated erythrocyte sedimentation rate (ESR) (OR = 1.019, 95%CI 1.010-1.028, P < 0.001), and hepatic insufficiency (OR = 1.916, 95% CI 1.173-3.131, P = 0.009) were independent risk factors for the development of NTIS in SLE. DMARDs treatment (OR = 0.495, 95% CI 0.306-0.799, P < 0.001) was an independent protective factor for NTIS.

CONCLUSIONS

Inflammatory activity in SLE patients is associated with the development of NTIS. Key Points • Inflammatory activity indexes such as SLEDAI, SII, and ESR are independent risk factors for NTIS in SLE patients.

Association of neutrophil extracellular trap levels with Raynaud's phenomenon, glomerulonephritis and disease index score in SLE patients from Brazil

Neutrophil extracellular traps (NETs) are cell-extruded DNA strands coated with neutrophils' nuclear proteins and enzymes from cytotoxic granules, produced by NETosis, a cell death pathway. They perform an important defensive role in innate immunity, but their increased production and/or inefficient degradation expose new antigens, such as DNA or citrullinated histone peptides, triggering autoimmunity. This study aimed to access possible associations between serum NETs levels with epidemiological, clinical, and serological data from a well-characterized SLE Brazilian patients' cohort. NET levels were evaluated in one hundred seventy serum samples of patients with Systemic Lupus Erythematosus (SLE) using an Immunoassay. Univariate and multivariate binary logistic regression used clinical patients' data as independent variables. Parametric and non-parametric tests compared log10 base serum NET levels transformed between patients' groups. SLE patients were also dichotomized into "High serum NET levels" and "Low serum NET levels" groups. All analyses were performed in R language 4.1.2, and p < 0.05 were considered significant. Increased susceptibility for high serum NET levels was observed in SLE patients with Raynaud's phenomenon (OR = 2.30, 95 % CI = 1.06-5.21 and p = 0.039), independently of any other risk factor. Also, SLE patients with Raynaud's phenomenon presented higher mean NET serum levels (mean = -0.13 vs. -0.51, p = 0.01). In addition, higher mean NET serum levels were associated with glomerulonephritis (mean = -0.45 vs. -0.12, p = 0.03). Ultimately, the SLEDAI index scored higher in the high NETs serum levels group (median = 2.0 vs. 0.0, p = 6 × 10-3). The formation of NETs might be implicated in Raynaud's phenomenon, glomerulonephritis, and disease index score in SLE patients. Our results highlight the importance of serum NET levels as a possible therapeutical target to modulate the clinical course of SLE.

Clinico-serological associations of urinary activated leukocyte cell adhesion molecule in systemic lupus erythematosus and lupus nephritis

BACKGROUND

Lupus nephritis (LN) is one of the major complications associated with Systemic Lupus Erythematosus (SLE). Activated leukocyte cell adhesion molecule (ALCAM or CD166) is a promising urine biomarker that binds to CD6, a receptor found on lymphocytes. This binding results in T-cell activation, proliferation, and recruitment, which causes tissue inflammation and may explain the pathophysiology of LN.

AIM OF WORK

Investigate the urinary ALCAM level in SLE, study its relationship to disease activity, and clarify the association with LN activity and histopathology.

PATIENTS AND METHODS

A case-control study was performed on 60 patients with SLE and 20 matched controls. The SLE disease activity index (SLEDAI) and the activity of renal disease (rSLEDAI) were evaluated. Renal biopsy and uALCAM levels were also investigated.

RESULTS

Urinary ALCAM levels were higher significantly in active LN patients than inactive LN patients, active and inactive non-LN SLE, and the control group (p < 0.001). The cut-off value for identifying active and inactive LN was above 270 ng/mg (p < 0.001). ALCAM levels were greater in proliferative (class III, IV, and IV/V) than in non-proliferative (class II and V) LN (p < 0.001). ALCAM exhibited high positive correlations with SLEDAI and rSLEDAI (p < 0.001 each) and negative significant correlations with C3 (p < 0.001) and C4 (p = 0.005).

CONCLUSION

Urinary ALCAM is a sensitive biomarker evaluating LN in SLE patients. Levels above 270 ng/mg can help distinguish between active and inactive LN. ALCAM levels are correlated positively with SLEDAI and rSLEDAI but have a negative correlation with C3 and C4. Key Points • Urinary ALCAM shows promise as a biomarker for evaluating kidney dysfunction in SLE patients. • It is a non-invasive marker that can differentiate between proliferative and non-proliferative LN. • A urinary ALCAM level above 270 ng/mg can indicate active LN, while lower levels indicate inactive LN. • Urinary ALCAM levels are correlated positively with SLEDAI and rSLEDAI scores but correlated negatively with C3 and C4.

Assessment of Interleukin 17 in Egyptian Systemic Lupus Erythematosus Patients as a Biomarker in Disease Activity

INTRODUCTION

Systemic lupus erythematosus (SLE) is a chronic idiopathic systemic autoimmune disorder with dysregulation of adaptive and innate immune systems. Interleukin (IL)-17 is the prototypical pro-inflammatory cytokine of T helper 17 (Th17) cells. Therefore, it contributes to the pathogenesis of human SLE.

AIM

The aim of the research paper was the evaluation of IL-17 level as a biomarker in the SLE cohort and its relation to disease activity and analysis of IL-17 concentration in patients with lupus nephritis and non-lupus nephritis.

METHODS

The research enrolled 45 SLE patients according to Systemic Lupus International Collaborating Clinics Classification Criteria (SLICC), and age and sex-matched. The patients underwent full history, clinical examination, laboratory investigation, and Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) calculation.

RESULTS

The mean age ± SD of the participants equaled 32 ± 11 years, and serum IL-17 in SLE cases was statistically significantly high (p < 0.001). No statistically significant correlations were reported between disease activity according to SLEDAI and IL-17. In addition, a statistically significant positive correlation was reported between IL-17 and ESR, and a high statistically significant negative correlation was reported between IL-17 and C3 and C4 (P < 0.001). A statistically significant positive correlation was reported between IL-17 and 24-hour urinary proteins with a Pvalue of 0.01.

CONCLUSION

SLE cases demonstrated higher levels of serum IL-17, contributing to SLE pathogenesis. However, no statistically significant difference was reported between IL-17 and Lupus nephritis. IL-17 and SLE activity (SLEDAI) did not correlate. A statistically significant positive relation was reported between IL-17 and 24-hour urinary proteins. Additionally, a high statistically significant negative correlation was reported between IL-17 and C3 and C4.

Association of urine autoantibodies with disease activity in systemic lupus erythematosus

Objective

The presence of urinary autoantibodies in patients with systemic lupus erythematosus (SLE) has been confirmed by several studies; however, the significance of their presence in urine remains unclear. This study aims to further investigate the association between urine autoantibodies and disease activity as well as organ involvement in SLE.

Methods

This cross-sectional study included 89 SLE patients. Data collected included anti-nuclear antibody (ANA), anti-ENA antibodies, and anti-dsDNA antibody levels in both serum and urine, complement (C) 3, C4 levels in serum, SLE disease activity index-2000 (SLEDAI-2000), renal domains of SLEDAI (RSLEDAI) and non-renal SLEDAI (NRSLEDAI).

Results

The rate of positive urine ANA (uANA) was 33.3% (29/87) among the enrolled patients. Compared to the uANA negative group, the positive group exhibited significantly higher SLEDAI-2000 scores (7.85 ± 5.88 vs. 18.69 ± 6.93, p < 0.001), RSLEDAI scores [0 (0, 4.0) vs. 12.0 (8.0, 16.0), p < 0.001], and NRSLEDAI [4 (2.0, 8.0) vs. 6.0 (4.0, 9.5), p = 0.038]. Patients with positive urine anti-Sm antibody demonstrated significantly elevated SLEDAI-2000 scores compared to those who were negative (25.0 ± 8.80 vs. 10.09 ± 6.63, p < 0.001). Similarly, they also had higher RSLEDAI [16.0 (12.0, 16.0) vs. 4.0 (0, 8.0), p < 0.001] and NRSLEDAI [9.5 (6.0, 13.5) vs. 4.0 (3.0, 8.0), p = 0.012], as well as a greater prevalence of renal involvement compared to their negative counterparts (100% vs. 58.2, p = 0.022). There was a positive correlation between uANA titer and both SLEDAI-2000 (rs = 0.663, p < 0.001) and RSLEDAI (rs = 0.662, p < 0.001). The serum anti-dsDNA antibody level did not exhibit a significant correlation with RSLEDAI (rs = 0.143, p = 0.182). Conversely, the urine anti-dsDNA antibody level demonstrated a significant positive correlation with RSLEDAI (rs = 0.529, p < 0.001).

Conclusion

Urine ANA is associated with both global SLEDAI and RSLEDAI scores. Urine anti-Sm antibody is associated with an increased incidence of renal involvement in SLE. The urine anti-dsDNA antibody level, rather than the serum anti-dsDNA antibody level, exhibits a significant association with RSLEDAI in SLE.

What is the best instrument to measure disease activity in SLE? - SLE-DAS vs Easy BILAG

Systemic lupus erythematosus (SLE) is a heterogeneous condition making assessment of disease activity challenging. However, thorough assessment is essential to evaluate patients longitudinally, to guide therapeutic decisions, and for clinical trials. Currently, the most popular disease activity index in clinical practice and trials is SLEDAI-2K. Its main advantage is ease of use, but significant weaknesses of SLEDAI-2K are omission of several serious manifestations, inability to capture change within an organ system, and fixed severity weightings that are often inappropriate. Recently several groups have developing improved tools. We report here the debate held at CORA meeting on this issue. SLE-DAS includes 17 weighted clinical and laboratory parameters including continuous measures in 4 items with an online calculator. A higher sensitivity to change compared to SLEDAI-2K has been demonstrated in its validation studies. Easy BILAG is an improved format of the BILAG-2004 that retains its content but greatly simplified. Its scoring using a single-page form that incorporates concise definitions for key terms next to clinical items. Easy-BILAG demonstrates higher accuracy and less variability and increased and better user feedback compared to the standard BILAG-2004 format. Both the indices discussed at CORA showed an advantage in measuring disease activity compared to SLEDAI.

Assessment of disease activity and damage in SLE: Are we there yet?

Systemic Lupus Erythematosus is a systemic autoimmune disease characterized by a great heterogenicity in course and clinical manifestations. Although prognosis improved in the last decades of the 20th century, mortality remains higher than in the general population and uncontrolled disease activity and therapy-related adverse effects have been identified as major contributors to damage accrual and poor outcomes. Assessment of disease activity and damage in SLE represents a great challenge even to the expert rheumatologist. Global disease activity indices are tools developed to assess activity across multiple organ systems. Several disease activity indices have been developed over the years, each with its own strengths and weaknesses, and knowing them is essential for understanding research studies, such as clinical trials, in which they are used. Organ-specific activity indices have been developed concurrently to represent organ involvement such as glomerulonephritis, cutaneous and musculoskeletal lupus manifestations. Regarding damage, the SLICC/ACR damage index has proven to be an effective tool for damage accrual assessment, yet not devoid of drawbacks. This review provides an overview of the most frequently utilized indices developed for the assessment of activity and damage in SLE highlighting their pros and cons when applied to the research and clinical setting.

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.

Circulating prolactin level in Juvenile Systemic Lupus Erythematosus and its correlation with disease activity: a case control study

BACKGROUND

The linkage between prolactin (PRL) and systemic lupus erythematosus (SLE) is still vague. Determination of serum levels of prolactin to reveal its role in patients with SLE is the aim of the study.

METHODS

This is a case-control study performed on 40 children with SLE and 40 age- and sex-matched controls. Cases were further subdivided according to disease activity into mild, moderate, and severe groups using the SLEDAI (Systemic Lupus Erythematosus Disease Activity Index) score. Serum prolactin levels were assayed by ELISA (enzyme-linked immunosorbent assay).

RESULTS

prolactin level was significantly higher in SLE patients (17.3 ± 6.6 µg/L) than in controls (13.5 ± 5.3 µg/L) (P value = 0.005). Although the prolactin level was highest in severe cases (19.3 ± 7.7 µg/L), followed by moderate cases (17.0 ± 5.3 µg/L), and lowest in mild cases (14.0 ± 6.2 µg/L), the variance between the 3 groups was not statistically significant (P value = 0.212). A significant positive correlation between prolactin level and SLEDAI score was detected (r = 0.368) (P value = 0.019). Hyperprolactinemia was found in 8 patients (20%) but not in controls; 4 out of 8 patients with hyperprolactinemia (50%) showed neurological manifestations compared to only 3 out of 32 patients with a normal prolactin level (9.4%) (P value = 0.007).

CONCLUSION

A relationship between serum prolactin levels and juvenile SLE disease was detected. Neurological manifestations were more prevalent among SLE patients with hyperprolactinemia.

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.

Predictors of severe lupus flare: a prospective follow-up study

BACKGROUND

Flare-up of systemic lupus erythematosus (SLE) is a common characteristic that could have deleterious effects on patients' outcome and survival. The aim of this study was to identify the predictors of severe lupus flare.

METHODS

120 patients with SLE were enrolled and followed-up for 23 months. Demographic, clinical manifestations, laboratory parameters and disease activity were recorded at each visit. In addition, presence of severe lupus flare at each visit was evaluated by using the Safety of Estrogens in Lupus Erythematosus National Assessment (SELENA)-SLE disease activity index (SLEDAI) flare composite index. Predictors of severe lupus flare were obtained by backward logistic regression analyses. Predictors of SLEDAI were obtained by backward linear regression analyses.

RESULTS

During the follow-up period, 47 patients had at least one episode of severe lupus flare. Mean (SD) age of patients with severe flare versus no flare was 31.7 (7.89) and 38.3 (8.24) years, respectively (P = 0.001). Ten (62.5%) out of 16 males and 37 (35.5%) out of 104 females had severe flare (P = 0.04). History of lupus nephritis (LN) was recorded in 76.5% and 44% of patients with severe flare and no severe flare, respectively (P = 0.001). Thirty-five (29.2%) patients with high anti-double-stranded DNA (anti-ds-DNA antibody) and 12 (10%) with negative anti-ds-DNA antibody had severe lupus flare (P = 0.02). By multivariable logistic regression analysis, younger age (OR = 0.87, 95% CI 0.80-0.94, P = 0.0001), history of LN (OR = 4.66, 95% CI 1.55-14.002, P = 0.006) and high SLEDAI at the first visit (OR = 1.19, 95% CI 1.026-1.38) were the main predictors of flare. When severe lupus flare after the first visit was used as the outcome variable, similar findings were observed but, SLEDAI, although left among the final predictors in the model, was not significant. SLEDAIs in future visits were mainly predicted by Anti-ds-DNA antibody, 24-h urine protein and arthritis at the first visit.

CONCLUSION

SLE patients with younger age, history of previous LN or high baseline SLEDAI, may need closer monitoring and follow up.

Systemic lupus erythematosus disease activity and neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio: a cross-sectional case-control study

Systemic lupus erythematosus (SLE) is an autoimmune disease with unknown etiology. It involves multiple organs and presents as varying clinical manifestations such as renal involvement (nephritis) and hematological disorders.

Materials and Methods

One hundred sixty people, divided equally into two groups: SLE patients, diagnosed according to the 2010 American College of Rheumatology/European League Against Rheumatism criteria, and healthy controls matched in age and gender, attending the University Hospitals between April 2019 and January 2021. White blood cells count, neutrophils count, lymphocytes count, platelet count, erythrocyte sedimentation rate, C-reactive protein, serum complements (C3 and C4), anti-double-stranded deoxyribonucleic acid, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and the SLE disease activity by using Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) was compared between the patient group and the control group. Demographic data were collected from all participants, and data on the disease, including disease durations and disease activity, were only collected from the patients.

Results

The age of the patients was 30.49±10.979 years, while it was 34.54±13.710 years in the control group (P=0.249). In all, 90% were females and 10% were males in the patient's group, while 85% were female and 15% were males in the control group. NLR and PLR were significantly higher in SLE patients compared to healthy control. A significant relation was found between SLEDAI and NLR and PLR.

Conclusion

The NLR and PLR are correlated with disease activity while also being cost-effective.

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.

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.

Effects of N-acetylcysteine on systemic lupus erythematosus disease activity and its associated complications: a randomized double-blind clinical trial study

BACKGROUNDS

N-acetylcysteine (NAC) has broadly been used as an anti-oxidant agent in various types of diseases. This study aimed to assess the effect of NAC on the systemic lupus erythematosus (SLE) disease activity and outcome.

METHODS

In this randomized, double-blind clinical trial study, 80 SLE patients were recruited that were classified into two groups: 40 patients received NAC (1800 mg/day; 3 times per day with 8-h intervals) for 3 months and 40 patients as the control group received normal therapies. Laboratory measurements and disease activity based on the British Isles Lupus Assessment Group (BILAG) and SLE Disease Activity Index (SLEDAI) were determined before the initiation of treatment and after the study time period.

RESULTS

A statistically significant decrease in BILAG (P= 0.023) and SLEDAI (P= 0.034) scores after receiving NAC for a 3-month period was observed. BILAG (P= 0.021) and SLEDAI (P= 0.030) scores were significantly lower in NAC-receiving patients compared to the control group after 3 months. The disease activity in each organ based on BILAG score after treatment indicated a significant decrease in the NAC group compared to the baseline level in general (P=0.018), mucocutaneous (P=0.003), neurological (P=0.015), musculoskeletal (P=0.048), cardiorespiratory (P=0.047), renal (P=0.025), and vascular (P=0.048) complications. Analysis indicated a significant increase in CH50 level in the NAC group after treatment compared to the baseline level (P=0.049). No adverse event was reported by the study subjects.

CONCLUSIONS

It appears that the administration of 1800 mg/day NAC to SLE patients can decrease the SLE disease activity and its complications.

Categorization of patients with systemic lupus erythematosus using disease activity, patient-reported outcomes, and transcriptomic signatures

OBJECTIVE

Patients with systemic lupus erythematosus (SLE) display symptoms that are not always related to disease activity and may distort clinical trial results. Recently, a clinical categorization based on the presence of type 1 (inflammatory manifestations) and/or type 2 (widespread pain, fatigue, depression) symptoms has been proposed in SLE. Our aim was to develop a type 2 score derived from the Short-Form health survey (SF-36) to categorize SLE patients and to compare immunological and transcriptomic profiles between groups.

METHOD

Seventeen items from the SF-36 were selected to build a type 2 score for 50 SLE patients (100 visits; LUPUCE cohort), and the SLEDAI was used to define type 1 symptoms. Patients were categorized into four groups: minimal (no symptoms), type 1, type 2, and mixed (both type 1 and type 2 symptoms). Clinical, immunological, and transcriptomic profiles were compared between the groups.

RESULTS

Type 2 scores ranged from 0 to 31, with a cutoff value of 14 (75th percentile). The sample categorization was minimal in 39%, type 1 in 37%, and type 2 in 9%, and mixed in 15%. Type 2 patients were older than minimal patients and had a longer disease duration than type 1 and mixed patients. Immunological data and modular interferon signatures did not differ between the groups.

CONCLUSION

Patients with SLE can be categorized into four clinical groups using the SLEDAI score and our SF-36-derived type 2 score. This categorization is non-redundant with immunological or transcriptomic profiles and could prove useful to stratify patients in clinical trials. Key Points • A score derived from selected items of the SF-36 can be used to identify SLE patients with type 2 symptoms according to the Duke University categorization. • Using the SLEDAI and this type 2 score, SLE patients can be categorized into four clinical groups. • This categorization is not related to immunological activity or blood transcriptome profiles (and not to the interferon signature in particular). • This categorization could be useful in the daily care of patients as well as in clinical trials, for upstream patient stratification or for the interpretation of results.

Association of Antiphospholipid Antibodies with Clinical Manifestations in Children with Systemic Lupus Erythematosus

BACKGROUND

The aim of the study is to evaluate the effect of the presence of antiphospholipid antibodies on the clinical and laboratory manifestations, disease activity and outcomes of the disease in patients with childhood-onset systemic lupus erythematosus (cSLE).

METHODS

We conducted a 10-year cross-sectional study with a retrospective analysis of clinical and laboratory parameters and outcome of the disease (kidney, nervous system involvement, thrombosis). For the purpose of the study, patients were divided into cohort groups based on the presence of antiphospholipid antibodies (aPLA), named the aPLA positive group, or their absence, named the aPLA negative group. Values of aPLA were defined in reference laboratories. The disease activity was measured by the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) score, whereas tissue damage degree was measured by Systemic Lupus International Collaborating Clinics/American College of Rheumatology-Damage Index (SLICC/ACR DI; SDI; DI).

RESULTS

Research in our center showed that patients with cSLE often had hematological, cutaneous, and non-thrombotic neurological manifestations. Antiphospholipid antibodies may be present transiently or permanently. A significant change in the titer value was observed in the IgG isotype of aCLA. The presence of higher values of IgM β2GP1 at the beginning indicates that higher disease activity can be expected. Higher disease activity correlates with greater tissue damage. Additionally, it has been shown that aPLA positive patients have two and a half times higher risk of tissue damage than aPLA negative ones.

CONCLUSION

Our study shows that the presence of antiphospholipid antibodies in patients with childhood onset systemic lupus erythematosus may indicate a higher risk of tissue damage, but since it is a rare disease in childhood, prospective and multicenter studies are necessary to assess the importance of the presence of these antibodies.

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.

Improving measures of disease activity in systemic lupus erythematosus

INTRODUCTION

Systemic lupus erythematosus (SLE) is a multisystem disease with varied manifestations and course. Variation in presentation among patients, and within the same patient, there may be varied manifestations over time. It has been difficult to measure the extent of disease activity accurately. Several investigators and groups have developed definitions of disease activity and methods to measure it. Consequently, there are currently several instruments to measure disease activity as well as damage in patients with SLE.

AREAS COVERED

This review covers currently available evidence on measures of disease activity in SLE. It discusses potential avenues for further development of new measures and the refinement of existing tools to improve disease activity measures in research and clinical care settings.

EXPERT OPINION

Given the complexity and heterogeneity of the disease, further work and tools are needed to assess disease activity better. Organ-specific measures for cutaneous, renal, and joint manifestations are needed for a detailed assessment of disease activity in conjunction with the use of disease generic tools (e.g. SLEDAI). New tools such as the SLE Disease Activity Index-Glucocorticoid Index (SLEDAI-2 KG) incorporating glucocorticoid doses to describe disease activity, SLE-DAS and SLEDAI-2 K RI-50 to record partial improvements could also be helpful.

Potential biomarkers for active renal involvement in systemic lupus erythematosus patients

OBJECTIVE

This study aimed to identify the key genes related to active renal involvement in patients with systemic lupus erythematosus (SLE).

METHODS

Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between SLE patients with active renal involvement and those who did not have active renal involvement were identified by R software. Hub genes were identified using protein-protein interaction networks. The relationships between the expression levels of identified hub genes and SLEDAI were subjected to linear correlation analysis. The diagnostic accuracy of the hub genes was evaluated with the area under the curve of the receiver operating characteristic curve (ROC-AUC). Transcription factors (TFs) were predicted. The expression levels of different hub genes and histopathological patterns were also examined.

RESULTS

A total of 182 DEGs were identified. Enrichment analysis indicated that DEGs were primarily enriched in neutrophil degranulation, neutrophil activation involved in immune response and neutrophil activation. The expression levels of 12 identified hub genes were verified. Ten of the 12 hub genes were positively associated with SLEDAI. The combination model of DEFA4, CTSG, RETN, CEACAM8, TOP2A, LTF, MPO, ELANE, BIRC5, and LCN2 had a certain diagnostic accuracy in detecting renal involvement with high disease activity in SLE patients. The expressions of five predicted TFs were validated by GSE65391 dataset.

CONCLUSION

This work explored the pathogenesis of renal involvement in SLE. These results may guide future experimental research and clinical transformation.

Altered PTPN22 and IL10 mRNA Expression Is Associated with Disease Activity and Renal Involvement in Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE) is a complex autoimmune disease with very heterogeneous clinical behavior between affected individuals. Therefore, the search for biomarkers clinically useful for the diagnosis, prognosis, and monitoring of the disease is necessary. Here, we determined the association between PTPN22, IL10, OAS2, and CD70 mRNA expression with the clinical characteristics and with the serum levels of IL-10, IFN-γ, and IL-17 in SLE patients. Forty patients with SLE and 34 control subjects (CS) were included, mRNA expression was determined by real-time qPCR and cytokine levels were quantified by a multiplex bead-based immunoassay. Compared to CS, SLE patients showed increased IL10 mRNA and high IL-10 and IL-17 serum levels; in contrast, PTPN22 mRNA and IFN-γ were decreased. PTPN22 and IL10 gene expression was negatively correlated with Mex-SLEDAI score and were notably downregulated in SLE patients with lupus nephritis. Interestingly, SLE patients with renal damage were the ones with the lowest levels of PTPN22 and IL10 mRNA and the highest SLEDAI scores. No associations were observed for OAS2 and CD70 mRNA and IL-10, IL-17, and IFN-γ. In conclusion, we suggest that the assessment of IL10 and PTPN22 mRNA could be useful for monitoring disease activity in SLE patients showing renal involvement.

A cross-sectional study on the association of anxiety and depression with the disease activity of systemic lupus erythematosus

BACKGROUND

Systemic Lupus Erythematosus (SLE) is an autoimmune disease that affects multiple systems and increases the risk of mental disorders such as depression and anxiety. We conducted an observational, single-center, cross-sectional study to investigate the relationship between depression, anxiety, and SLE disease activity.

METHODS

The Patient Health Questionnaire 9 (PHQ-9) was used to assess depression, and the 7-item Generalized Anxiety Disorders Scale was used to assess anxiety (GAD-7). Using the chi-square/exact Fisher's tests, socio-demographic data, clinical and other characteristics of SLE patients were compared between depression or anxiety and non-depression/non-anxiety groups. To identify optimal levels of Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) for predicting depression or anxiety, receiver-operator curves (ROC) were drawn.

RESULTS

Among the 325 patients involved in this study, patients with depression or anxiety had significantly higher SLE activity (p < 0.001), and more frequent musculoskeletal (p < 0.05) and neuropsychiatric symptoms (p < 0.05). Depression and anxiety are more common in the moderate-severe active group than in the inactive-mild active group (depression: OR 3.350, 95%CI 2.015, 5.570, p < 0.001; anxiety: OR 4.085, 95%CI 2.493, 6.692, p < 0.001). The optimal SLEDAI cutoff value of 8.5 predicted depression with a sensitivity of 50.5% and a specificity of 78.4% (AUC 0.660, p < 0.001) and anxiety with a sensitivity of 54.2% and a specificity of 78.4% (AUC 0.684, p < 0.001).

CONCLUSION

SLE disease activity is positively associated with the severity of depression and anxiety. Those patients whose SLEDAI scores are greater than 8.5 are more likely to suffer from mental disorders which require additional attention to them.

Clinical Values of the Identified Hub Genes in Systemic Lupus Erythematosus

Objective

This study was conducted to identify the biomarkers and mechanisms associated with systemic lupus erythematosus(SLE) at a transcriptome level.

Methods

Microarray datasets were downloaded, and differentially expressed genes (DEGs) were identified. Enrichment and protein-protein interaction networks were analyzed, and hub genes were discovered. The levels of top 10 hub genes were validated by another dataset. The diagnostic accuracy of the hub genes was evaluated with the area under the curve of the receiver operating characteristic curve (ROC-AUC). The odds ratios (OR) and 95% confidence intervals (CI) of the relationship between clinical manifestations and hub genes were estimated with multivariable logistic regression. The relationships between the expression levels of the 10 identified hub genes and SLEDAI scores were subjected to linear correlation analysis. Changes in the expression levels of the hub genes during patient follow-up were examined through one-way repeated measures ANOVA.

Results

A total of 136 DEGs were identified. Enrichment analysis indicated that DEGs were primarily enriched in type I interferon-associated pathways. The identified hub genes were verified by the GSE65391 dataset. The 10 hub genes had good diagnostic performances. Seven (except IFI6, OAS1 and IFIT3) of the 10 hub genes were positively associated with SLEDAI. The combination models of IFIT3, ISG15, MX2, and IFIH1 were effective in diagnosing mucosal ulcers among patients with SLE. The expression levels of IRF7, IFI35, IFIT3, and ISG15 decreased compared with the baseline expression (not significantly).

Conclusions

In this work, the clinical values of the identified hub genes in SLE were demonstrated.

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 is 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.

Fucosylation of anti-dsDNA IgG1 correlates with disease activity of treatment-naïve systemic lupus erythematosus patients

Background

Systemic Lupus Erythematosus (SLE) is a complex and heterogeneous autoimmune disease mediated by quantities of autoantibodies in which anti-double-stranded DNA (anti-dsDNA) antibodies are important. Besides, glycosylation is one of the most commonly post-translational modifications of antibodies. The association of anti-dsDNA antibodies glycosylation and SLE disease activity is still unknown.

Methods

We enrolled 101 consecutive treatment-naïve SLE patients with positive anti-dsDNA antibodies from the Department of Rheumatology and Immunology at Ruijin Hospital, Shanghai, between 2017 and 2019. Serum samples were used in this study. We analysed the glycosylation of anti-dsDNA IgG and total IgG subclasses according to systemic lupus erythematosus disease activity index (SLEDAI) scores. Statistical analysis and machine learning were performed to assess the correlation between glycosylation of anti-dsDNA IgG and total IgG with disease activity.

Findings

Serum samples from 86 patients could be detected with anti-dsDNA IgG glycopeptide and subclass of IgG glycoform. Cluster analysis showed that glycosylation of anti-dsDNA IgG and total IgG subclasses were different in SLE patients. Fucosylation, galactosylation, and sialylation levels of anti-dsDNA IgG1 were increased with SLEDAI scores (all p<0.05). The results of machine learning showed that all the glycoforms of anti-dsDNA IgG1 had better performance with lower standardised square error (SSE) than that of total IgG1, with anti-dsDNA IgG1 fucosylation level having the lowest SSE (0.009).

Interpretation

Our study indicated that glycosylation of anti-dsDNA IgG was different from that of total IgG and fucosylation of anti-dsDNA IgG1 correlated best with SLE disease activity.

Funding

This work is supported by the National Key Research and Development Program of China (2018YFC0910303), National Natural Science Foundation of China (81801592, 82101876), Clinical Research Plan of SHDC (SHDC2020CR4011), Ruijin Hospital Youth Incubation Project (KY2021607) and Shanghai Pujiang Young Rheumatologists Training Program (SPROG202006).

Urine and serum interleukin 35 as potential biomarkers of lupus nephritis

Introduction

Lupus nephritis (LN) is considered a serious manifestation of systemic lupus erythematosus (SLE). Therefore, a reliable non-invasive biomarker is a priority for monitoring renal involvement instead of the kidney biopsy. Interleukin 35 (IL-35) has an immunosuppressive and anti-inflammatory role in many autoimmune diseases. However, its role in LN still needs to be elucidated.

Aim of the study

To evaluate urine and serum levels of IL-35 in SLE patients with LN and without nephritis identifying their potential as biomarkers of renal involvement.

Material and methods

Urine and serum levels of IL-35 were measured in 42 SLE patients, divided into 22 with LN and 20 without LN, and 20 matched healthy controls using enzyme-linked immunosorbent assay (ELISA). SLE disease activity was assessed for patients by the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K).

Results

Levels of serum and urine IL-35 were significantly higher (p < 0.001) in the LN group compared with those without LN and with controls. In LN patients, a strong correlation (p < 0.001) was observed between serum and urine IL-35 levels with SLEDAI-2K score (r = 0.677 and 0.806 respectively). Furthermore, proteinuria had a strong and significant correlation (p ˂ 0.001) with serum and urinary IL-35 levels in the patients with LN. Serum IL-35 had 90.9% sensitivity and 85% specificity while urine IL-35 had 95.5% sensitivity and 75% specificity to differentiate LN from healthy individuals.

Conclusions

Urine and serum IL-35 may aid in assessment of renal involvement in SLE patients, serving as potential biomarkers of LN.

Lack of Association between Serum Interleukin-23 and Interleukin-27 Levels and Disease Activity in Patients with Active Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE) is a chronic systemic autoimmune disease characterized by the production of multiple autoantibodies, resulting in tissue and organ damage. Recent studies have revealed that interleukin-23 (IL-23) and interleukin-27 (IL-27) may be therapeutically relevant in selected SLE manifestations. This study aimed to identify associations between serum IL-27 and IL-23 levels and disease activity in Polish patients with different manifestations of SLE: neuropsychiatric lupus (NPSLE), and lupus nephritis (LN). Associations between interleukin levels and oligo-specific antibodies against double-stranded DNA (dsDNA), dose of glucocorticoids, and type of treatment were also analyzed. An enzyme-linked immunosorbent assay was used to assess anti-dsDNA antibodies and analyze the serum concentration of IL-27 and IL-23 from 72 patients aged 19-74 years with confirmed active SLE. Disease activity was measured using the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI 2-K). No significant correlations between interleukin levels and SLEDAI score, anti-dsDNA, corticosteroid dose, or type of treatment were noted. Patients with NPSLE and LN presented the highest median scores of SLEDAI.

TGFB1 +869 T > C (rs1800470) variant is independently associated with susceptibility, laboratory activity, and TGF-β1 in patients with systemic lupus erythematosus

The aim of this study was to evaluate the association of the +869 T > C (rs1800470) and -509 C > T (rs1800469) TGFB1 variants, individually or in haplotypes structure, with susceptibility, autoantibodies, disease activity, and TGF-β1 plasma levels in patients with systemic lupus erythematosus (SLE). The study included 203 patients with SLE and 165 healthy controls. TGFB1 variants were determined by real-time polymerase chain reaction (qPCR). Plasma levels of TGF-β1 were determined using immunofluorimetric assay. The TGFB1 + 869 CC genotype was associated with SLE susceptibility (OR: 1.710, 95%CI: 1.020-2.866, p = 0.042) and with reduction of C4 (p = 0.040) and TGF-β1 levels (p = 0.044). In addition, patients with TGFB1 + 869 TC and CC genotypes and positive anti-dsDNA had lower TGF-β1 levels than those with TT (p = 0.004). TGFB1 -509 TT genotype was associated with reduced levels of C4 (p = 0.032). There was no association between haplotypes and clinical and laboratory parameters. Our data demonstrated that the TGFB1 + 869 T > C variant could be used as a genetic marker for SLE susceptibility and both variants as predictors of laboratory activity. This is the first study to demonstrate that TGF-β1 levels could be modulated by the interaction between TGFB1 + 869 C allele, in homozygosity, or heterozygosity, and the presence of anti-dsDNA.

Relationship of complement activation pathway to clinical and pathological characteristics and renal outcome in patients with lupus nephritis

BACKGROUND

Involvement of the complement system in the pathogenesis of lupus nephritis (LN) is well accepted, but its exact role remains unclear. The aim of this study was to investigate the relationship of complement activation pathway to clinical and pathological characteristics and renal outcome in patients with LN.

MATERIAL AND METHODS

Patients with LN were divided into two groups: those in whom the complement system was mainly activated through the classical pathway (low serum C3 and C4 levels; CP group); and those in whom the complement system was solely activated through the alternative pathway (low serum C3 with normal C4 levels; AP group). Clinical and pathological data and renal outcomes were compared between the two groups.

RESULTS

A total of 102 LN patients were enrolled in this study, 63 patients (61.8%) in the CP group and 39 patients (38.2%) in the AP group. LN patients in the CP group had significantly higher SLEDAI (p < 0.001), more anti-dsDNA (p = 0.001), higher renal activity index (p < 0.001), and more class IV LN (p = 0.008) than LN patients in the AP group. Mean length of follow-up was 50.6 ± 26.4 months. Renal outcome in the form of progression of kidney disease was significantly poorer in the CP group in the AP group (p = 0.037).

CONCLUSION

Our findings suggest that evaluation of the complement activation pattern may be useful for evaluating disease activity and predicting the prognosis of LN.

The Clinical Characteristics of Leukopenia in Patients with Systemic Lupus Erythematosus of Han Ethnicity in China: A Cross-Sectional Study

Introduction

The characteristics of leukopenia in patients with systemic lupus erythematosus (SLE) in different studies are different, which may be related to region, race, and sample size. Moreover, the extent of leukocyte count decline remains to be studied. This study aimed to analyze the clinical characteristics of leukopenia in patients with SLE of Han ethnicity in China.

Methods

A single-center, retrospective, cross-sectional study was conducted in Chinese Han patients with SLE from June 2013 to August 2020.

Results

A total of 125 patients with SLE were included in the study, and 104 age- and sex-matched healthy controls were recruited. The prevalence of leukopenia, neutropenia, and lymphopenia was 40.0, 20.8, and 55.2%, respectively. The median leukocyte count in the leukopenia group was 2.80 × 10⁹/l, the median neutrophil count in the neutropenia group was 1.40 × 10⁹/l, and the median lymphocyte count in the lymphopenia group was 0.60 × 10⁹/l, which was 47.06, 40.58, and 30.00% of the median of the healthy control group, respectively. The lymphocyte count of SLE patients without lymphopenia was also lower than that of healthy controls, and the lymphocyte count was negatively correlated with the SLE disease activity index 2000 score in all patients with SLE. Independent risk factors for neutropenia include decreased platelet count and lymphocyte count, as well as the presentation of cylindruria. For lymphopenia, the independent risk factors were positivity for anti-dsDNA antibody and Coombs’ test, decreased platelet count, and cylindruria.

Conclusions

In Han Chinese patients with SLE, leukopenia, neutropenia, and lymphopenia are common clinical manifestations, and the degree of reduction in blood cell count was also remarkable. Lymphopenia is associated with disease severity in patients with SLE. The correlation between Coombs’ test results and lymphopenia deserves further study.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40744-021-00336-6.

Systemic Lupus Erythematosus Outcome Measures for Systemic Lupus Erythematosus Clinical Trials

The assessment of systemic lupus erythematosus (SLE) disease activity in clinical trials has been challenging. This is related to the wide spectrum of SLE manifestations and the heterogeneity of the disease trajectory. Currently, composite outcome measures are most commonly used as a primary endpoint while organ-specific measures are often used as secondary outcomes. In this article, we review the outcome measures and endpoints used in most recent clinical trials and explore potential avenues for further development of new measures and the refinement of existing tools.

Serum Interleukin-26 Is a New Biomarker for Disease Activity Assessment in Systemic Lupus Erythematosus

Objective

Interleukin-26 (IL-26) has a unique ability to activate innate immune cells due to its binding to circulating double-stranded DNA. High levels of IL-26 have been reported in patients with chronic inflammation. We aimed to investigate IL-26 levels in patients with systemic lupus erythematosus (SLE).

Methods

IL-26 serum levels were quantified by ELISA for 47 healthy controls and 109 SLE patients previously enrolled in the PLUS study. Performance of IL-26 levels and classical markers (autoantibodies or complement consumption) to identify an active SLE disease (SLE disease activity index (SLEDAI) score > 4) were compared.

Results

IL-26 levels were significantly higher in SLE patients than in controls (4.04 ± 11.66 and 0.74 ± 2.02 ng/mL; p = 0.005). IL-26 levels were also significantly higher in patients with active disease than those with inactive disease (33.08 ± 21.06 vs 1.10 ± 3.80 ng/mL, p < 0.0001). IL-26 levels correlated with SLEDAI score and the urine protein to creatinine ratio (uPCR) (p < 0.001). Patients with high IL-26 levels had higher SLEDAI score, anti-DNA antibodies levels, and uPCR (p < 0.05). They presented more frequently with C3 or C4 complement consumption. Lastly, IL-26 showed stronger performance than classical markers (complement consumption or autoantibodies) for active disease identification.

Conclusions

Our results suggest that, in addition to classical SLE serological markers, the measurement of IL-26 levels may be a useful biomarker for active disease identification in SLE patients.

Association of the STAT4, CDKN1A, and IRF5 variants with risk of lupus nephritis and renal biopsy classification in patients in Vietnam

BACKGROUND

Lupus nephritis is a common complication of systemic lupus erythematosus (SLE, OMIM #15200) in the Asian population and a main contributor to mortality and morbidity. In this study, we evaluate the variants on three genes STAT4, CDKN1A, and IRF5 and their association with lupus nephritis.

METHOD

One hundred fifty-two SLE patients with confirmed lupus nephritis (through biopsy) and 76 healthy controls were recruited. Genotyping of SNPs on three gene STAT4, CDKN1A, and IRF5, phenotypic, and laboratory assessment were performed; renal biopsy and classification were carried out for the patient group.

RESULTS

Carriers of rs7582694 C alleles on STAT4 have higher risk of lupus nephritis (OR 2.0; 95% CI [1.14, 3.19]; p = 0.015), at higher risk of hematuria and higher serum level of dsDNA antibodies compared to controls (p < 0.05) and were more likely to have nephrotic histopathology grading of class III or higher. No association was observed for CDKN1A; and no variation was observed for the IRF5 gene in both the study and control group.

CONCLUSION

This study investigates the relationship between STAT4, CDKN1A, and IRF5 gene and SLE in a Vietnamese patient population. Patients with the C allele (STAT4) in rs7582694 were associated with a more severe disease phenotype.

SIGLEC1 (CD169) is a sensitive biomarker for the deterioration of the clinical course in childhood systemic lupus erythematosus

Background

To analyse the validity of membrane-bound SIGLEC1 (CD169) as a sensitive biomarker for monitoring disease activity in pediatric systemic lupus erythematosus (SLE).

Methods

27 children and adolescents with SLE were followed for a mean of 13.5 months. During consecutive routine visits SLEDAI-2k, C3, C4 and ds-DNA values were determined. Additionally, expression of SIGLEC1 on monocytes was determined by flow cytometry. The amount of PE-labelled CD169 mAb bound per monocyte was analyzed using QuantiBRITE™ PE tubes. Associations between biomarkers and the clinical course were investigated by regression analysis.

Results

In general, SIGLEC1 expression is high on SLE-derived monocytes (mean 6 359 (SD 6 056) molecules/monocyte, cut-off 2 500 molecules/monocyte), all patients with newly diagnosed SLE exhibit elevated expression (mean 13366 (SD 7 750) molecules/monocyte). Changes (Δ) in SIGLEC1 levels during the clinical course is the only biomarker that significantly correlates with the change in SLEDAI-2k (beta_ST = 0.28, p = 0.001). At follow-up visit, a clinically important worsening was experienced by 47.6% of patients with a Δ SIGLEC1 > 2 151 molecules/cell (OR 5.31) and 72.4% with a Δ SIGLEC1 > 756 molecules/cell (OR 8.90). Conversely, 36.4% of patients with a Δ SIGLEC1 < -2 818 molecules/cell (OR 4.16, percentiles as cut-off criteria) and 50.0% of patients with a Δ SIGLEC1 < -1 370 molecules/cell (OR 3.55, application of Youden index) showed clinical improvement. SIGLEC1 expression correlates inversely with the amount of therapeutically applied hydroxychloroquine (p < 0.001).

Conclusions

SIGLEC1 expression on monocytes is a sensitive biomarker for adjusting disease activity in childhood SLE and represents a promising and easily applicable tool for disease monitoring.

Anti-apolipoprotein A-1 autoantibodies correlate with disease activity in systemic lupus erythematosus

OBJECTIVES

Apolipoprotein A-1 (ApoA-1) is a protein fraction of the high-density lipoproteins with anti-inflammatory and antioxidant properties that play a major role in reverse cholesterol transport. The presence of anti-ApoA-1 IgG has been reported in SLE to be variably associated with disease activity or cardiovascular events (CVEs). We assessed the clinical performance of anti-ApoA-1 IgG and of antibodies directed against its immunodominant F3L1 peptide (F3L1 IgG) in a well-characterized Swiss SLE cohort study.

METHODS

A total of 354 biological samples and interviews from 176 individuals were studied. SLEDAI, clinical characteristics, anamnestic CVEs and therapy details were recorded. Sera were tested for the presence of anti-ApoA-1 IgG, anti-F3L1 IgG, anti-dsDNA IgG and aPL.

RESULTS

Anti-ApoA-1 and anti-F3L1 IgG positivity was associated with higher SLEDAI, mostly due to concomitant positivity of dsDNA IgG and low complement. Variations in time of anti-ApoA-1 IgG correlated positively with variations of anti-dsDNA IgG and inversely to variations of C3 levels. No cross-reactivity was found between anti-ApoA-1 and anti-dsDNA IgG. Positivity for anti-Apo-A1 IgG was more frequent in individuals receiving 10 mg/day or more of prednisone. We did not find any significant association between anti-ApoA-1 IgG positivity and CVEs.

CONCLUSION

Anti-ApoA-1 and anti-F3L1 IgG in SLE correlate strongly with laboratory markers of activity, particularly with the presence and titre of dsDNA IgG. These results confirm and extend previous findings and support the use of anti-ApoA1 IgG in the clinical setting. Their role in CVEs deserves further investigation.

Serum levels of soluble programmed death-1 (sPD-1) and soluble programmed death ligand 1(sPD-L1) in systemic lupus erythematosus: Association with activity and severity

The programmed cell death-1 (PD-1)/programmed cell death ligand 1 (PD-L1) pathway is an important host immunosuppression mechanism. Soluble PD-1 (sPD-1) and PD-L1 (sPD-L1) expression regulates co-inhibitory signals in autoimmune disorders. Here, we evaluated whether serum sPD-1 and sPD-L1 are involved in immune dysfunction and assessed its relationship with SLE. Blood samples were obtained from 130 patients with SLE and 44 healthy controls. Serum sPD-1 and sPD-L1 were tested by enzyme-linked immunosorbent assay (ELISA). Relevant immune parameters were analysed. Both serum sPD-1 and sPD-L1 were significantly higher in the SLE patients than in the controls. A series of severe disease clinical manifestations and laboratory features such as presence of decreased complement component 3, complement component 4 and SLEDAI >8 were associated with elevated sPD-1 and sPD-L1. Our study suggests that abnormal sPD-1 and sPD-L1 expression may be involved in the imbalance of immune regulation in SLE.

Which is the best SLE activity index for clinical trials?

Following the advent of molecular targeted drugs, a paradigm shift in treatment similar to that in rheumatoid arthritis has been expected in the treatment of systemic lupus erythematosus (SLE), but clinical trials for drugs that many specialists believed to be effective have failed repeatedly. The causes are not simple, but include the heterogeneity of SLE, inclusion criteria, lack of appropriate disease activity measures, and relapse criteria. This review outlines the disease activity indices used in SLE, discusses their advantages and disadvantages, and describes the ideal activity index.

Correlation of the levels of DNA-binding inhibitor Id3 and regulatory T cells with SLE disease severity

E proteins, a subset of basic helix-loop-helix (bHLH) proteins, are transcription activators and their functions are inhibited by DNA-binding inhibitor (Id) 1-4. Studies have shown that Treg levels are decreased in Id3 knockout mice. Mice over-expressing Id1 in CD4 T cells possessed a greater number of regulatory T cells (Treg) and exhibited attenuated experimental autoimmune encephalomyelitis (EAE). The significance of Id proteins in human systemic lupus erythematosus (SLE) remains unclear. In this study, we systematically analyzed Id transcription in naïve, memory CD4 cells and regulatory T cells in peripheral blood mononuclear cells (PBMCs) in patients with active or inactive SLE. In parallel, Treg subsets in PBMCs were analyzed using different strategies. Id expression levels were correlated with Treg numbers as well as clinical indicators. We found that Id genes expressed in human peripheral CD4 cells were mainly Id2 and Id3. Id3 levels were significantly elevated in CD4⁺CD25^hi T cells of patients with active SLE. Likewise, Id3 levels were positively correlated with increased CD4⁺FoxP3⁺ and CD4⁺Helios⁺FoxP3⁺ Treg cells in these patients. Id3 levels were found to be positively correlated with erythrocyte sedimentation rate (ESR), lupus anticoagulant (LAC), ribosomal antibody and SLE Disease Activity Index (SLEDAI) in patients with active SLE. Mice overexpressing Id1 in CD4⁺ T cells possessed significantly higher Treg levels in spleen and lower autoantibody concentrations in serum. Our results suggest that during the pathogenesis of SLE, up-regulation of Id3 can promote Treg differentiation to play an inhibitory effect on autoimmune responses.

CD4+CD28null T cells are expanded in moderately active systemic lupus erythematosus and secrete pro-inflammatory interferon gamma, depending on the Disease Activity Index

BACKGROUND

Pathogenic CD4⁺CD28^null cells are characterized by inflammatory cytokine synthesis and tropism to the inflamed tissues. Recent studies showed the involvement of CD28^null T cells in a severe clinical outcome of lupus. However, their role in moderately active disease is still unresolved.

METHODS

We examined the levels of circulating CD4⁺CD28^null cells and CD8⁺CD28^null suppressor T cells. We also compared the CD4⁺CD28^null and CD4⁺CD28⁺ T-cell functional properties, including the expression of interferon gamma (IFN-γ) and Ki67 among systemic lupus erythematosus (SLE) patients (n = 20) and healthy controls (n = 20). All the patients were under immunosuppressive treatment and exhibited moderate SLE activity (median SLE Disease Activity Index (SLEDAI) = 6).

RESULTS

In patients, we found elevated CD4⁺CD28^null and unchanged levels of suppressor CD8⁺CD28^null T cells. There was no difference between patients and controls in IFN-γ and Ki67-expressing CD4⁺, CD4⁺CD28⁺, and CD4⁺CD28^null T cells, except for higher IFN-γ levels in CD4⁺CD28⁺ T cells in SLE. In each studied group, we observed a higher preponderance of IFN-γ- and Ki67-expressing cells among CD4⁺CD28^null T cells and lower levels of IFN-γ in CD4⁺CD28^null T cells compared to the CD28+ subset. Similarly, Ki67 intensity was decreased in healthy CD4⁺CD28^null cells, whereas in patients, comparably high expression was observed in both subsets. IFN-γ intensity in CD4⁺CD28^null T cells correlated with SLEDAI.

CONCLUSION

SLE with a moderately active clinical course is characterized by peripheral blood expansion of CD4⁺CD28^null T cells and a normal abundance of suppressor CD8⁺CD28^null T cells. The demonstration that these pathogenic CD4⁺ T cells, despite the lack of CD28, maintain the ability to produce pro-inflammatory IFN-γ positively correlated with disease activity as well as relatively high proliferative capacity may suggest their potentially predictive role in SLE flares.

Investigation of the Association Between Carotid Artery Intima-Media Thickness (IMT) and Cardiac Risk Factors in Patients with Systemic Lupus Erythematosus

BACKGROUND

The relationship between SLE and traditional risk factors for cardiovascular events was evaluated.

METHODS

The data regarding sixty patients with SLE and 30 healthy controls (age and sex matched) were gathered using SLEDAI forms. Venous blood (10mL) from all the participants was examined for hs-CRP, homocysteine, VCAM1, CBC, anti-DNA antibody, C3, C4, low-density lipoprotein (LDL), cholesterol, FBS and triglyceride. The IMT of carotid arteries was determined bilaterally by ultrasound. Other measurements included insulin levels via Elisa (Linco/Millipore Corp) and the HOMA-IR index for insulin resistance.

RESULTS

The mean age (in years) in the test and control groups was 28.8±10.3 (18-52) and 33.8±9.13 (18-48), respectively. The average IMT in the test group was directly related to serum levels of VCAM1 (p<0.001), homocysteine (p<0.001), cholesterol (p<0.009), LDL (p<0.001), TG (p<0.001), and FPG (p=0.004). The association between other risk factors, insulin resistance, carotid IMT and SLEDAI, was nonexistent. Mean insulin and insulin resistance levels in all the participants were 0.43±2.06 µU/mL and 0.09±0.44, respectively. There was no significant difference between the test and control groups regarding serum insulin and insulin resistance levels (p=0.42 and p=0.9, respectively). None of the risk factors, such as hsCRP, VCAM1, or homocysteine, were shown to be related to insulin resistance (p=0.6, p=0.6, p=0.09, respectively).

CONCLUSION

Our findings did not show an increase in the prevalence of atherosclerosis in patients with SLE. There was no association between IMT and insulin resistance. However, the former was associated with FPG, total cholesterol, LDL, TG, homocystein and VCAM1.

Identifying damage clusters in patients with systemic lupus erythematosus

AIM

Systemic lupus erythematosus (SLE) causes irreversible damage to organ systems. Recently, evidence has been obtained for subphenotypes of SLE. This study aimed to identify damage clusters and compare the associated clinical manifestations, SLE disease activity, mortality, and genetic risk scores (GRS).

METHODS

The study was conducted on the Hanyang BAE lupus cohort. Patients with disease duration <5 years were excluded to minimize confounding effects of disease duration. They were grouped into 3 clusters based on the Systemic Lupus International Collaborating Clinics Damage Index using k-means cluster analysis.

RESULTS

Among the 1130 analyzed patients, musculoskeletal damage was most prevalent (20.2%), followed by ocular (11.4%), renal (10.5%), and neuropsychiatric damage (10.2%). Three significantly different damage clusters were identified. Patients in cluster 1 (n = 824) showed the least damage. Cluster 2 (n = 195) was characterized by frequent renal (55.4%) and ocular (58.0%) damage, and cluster 3 (n = 111) was dominated by neuropsychiatric (100%) and musculoskeletal damage (35.1%). Cluster 2 had the highest adjusted mean AMS (adjusted mean SLE Disease Activity Index score; mean ± SD: 5.4 ± 2.9), while cluster 3 had the highest mortality (14.4%). Weighted GRS did not differ significantly between the clusters.

CONCLUSION

Patients in prevalent renal and ocular damage cluster had the highest AMS scores, while the cluster with frequent neuropsychiatric damage had the highest mortality.

Treatment with intravenous immunoglobulins in systemic lupus erythematosus: a single-center experience with 63 patients

BACKGROUND

Intravenous immunoglobulin (IVIG) is prepared using purified human plasma. IVIG therapy has immunomodulatory effects on autoimmune diseases, including severe systemic lupus erythematosus (SLE). However, reports of its effects on large cohorts are scarce.

METHODS

This single-center retrospective study included SLE patients treated with at least one IVIG cycle for SLE complications. Demographic data, indications, cycle numbers, and clinical improvement with IVIG were evaluated. SLE Disease Activity Index 2000 (SLEDAI-2K) scores were calculated at admission and after IVIG treatment in order to measure clinical improvement.

RESULTS

Sixty-three SLE patients treated with IVIG (median age: 29 years; interquartile range 21-36 years; 84.13% female) were included, who received 2 g/kg IVIG for two to five days. Main indications were immune thrombocytopenia, hypogammaglobulinemia, infection during a SLE flare, bicytopenia, and immune hemolytic anemia. Seven patients received more than one IVIG cycle without severe adverse effects. Significant differences were found in SLEDAI-2K scores when the indications were immune thrombocytopenia and hypogammaglobulinemia, with a trend for hemolytic anemia. Patients with concomitant infection, myopathy, and gastrointestinal involvement showed a considerable reduction in their last SLEDAI-2K scores. Fourteen patients died during hospitalization, mainly due to septic shock and active SLE.

CONCLUSIONS

IVIG showed adequate tolerance and effectiveness in selected severe SLE manifestations, mainly hematological involvement. It was useful for concomitant infection.

CD4+CD25+LAG3+ T Cells With a Feature of Th17 Cells Associated With Systemic Lupus Erythematosus Disease Activity

Systemic lupus erythematosus (SLE) is an autoimmune disease that involves multiple immune cell subsets. We analyzed immune cell subsets in human peripheral blood mononuclear cells (PBMC) in order to identify the cells that are significantly associated with SLE disease activity and treatment. The frequencies of various subsets of CD4⁺ T cells, B cells, monocytes and NK cells in PBMC were assessed in 30 healthy controls (HC), 30 rheumatoid arthritis (RA) patients and 26 SLE patients using flow cytometry. The correlations between subset frequencies in SLE and clinical traits including Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) were examined. Changes in subset frequencies after the treatment in SLE patients were investigated. We focused on CD25⁺LAG3⁺ T cells and investigated their characteristics, including cytokine secretion, mRNA expression and suppression capacity. We assessed correlations between CD25⁺LAG3⁺ T cells and SLEDAI by Spearman's rank correlation coefficient. CD25⁺LAG3⁺ T cells were significantly increased in SLE whereas there were few in RA and HC groups. CD25⁺LAG3⁺ T cell frequencies were significantly correlated with SLEDAI and were increased in patients with a high SLEDAI score (> 10). CD25⁺LAG3⁺ T cells produced both IL-17 and FOXP3, expressed mRNA of both FOXP3 and RORC and lacked suppressive capacity. CD25⁺LAG3⁺ T cells were associated with disease activity of SLE. CD25⁺LAG3⁺ T cells had features of both CD25⁺FOXP3⁺ regulatory T cells (CD25⁺ Treg) and Th17. CD25⁺LAG3⁺ T cells could be associated with the inflammatory pathophysiology of SLE.

Hydroxychloroquine Improves the Disease Activity and Allows the Reduction of the Corticosteroid Dose Regardless of Background Treatment in Japanese Patients with Systemic Lupus Erythematosus

Objective Hydroxychloroquine (HCQ) was not approved in Japan until 2015, and its therapeutic potential has not been explored in depth. We evaluated the additional therapeutic effect of HCQ in Japanese patients with systemic lupus erythematosus (SLE) on maintenance therapy. Methods Patients with SLE who visited our hospital from 2015 to 2016 and were taking prednisolone (PSL) at <20 mg/day were retrospectively evaluated. All patients were divided into three groups according to their maintenance treatment regimen: PSL + immunosuppressant, PSL alone, and no treatment. We compared the changes in the SLE disease activity index (SLEDAI), PSL dose, and cumulative flare rate between patients who were and were not treated with HCQ. Results Among the 165 patients evaluated, 35 (21.2%) were treated with HCQ. The mean period of observation did not differ markedly between patients who did and did not receive HCQ (p=0.3). The SLEDAI and PSL dose were significantly reduced in patients who received HCQ, regardless of their background treatment regimen. The cumulative flare rate was lower in patients who received HCQ than in those who did not in the PSL + immunosuppressant and no maintenance treatment groups (p=0.03 and 0.05, respectively). Conclusion The addition of HCQ reduced the disease activity and allowed PSL dose reduction, regardless of background treatment, in Japanese patients with SLE.

Mortality in patients with systemic lupus erythematosus in Colombia: a case series

INTRODUCTION

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease associated with high mortality rates. This study aimed to describe the main causes of death in a case series of SLE patients attended in a single center in Colombia.

METHODS

We conducted a retrospective review and analysis of records of SLE patients who died between January 2011 and June 2017. We extracted the main causes of death and described variables associated with this outcome as well as variables associated with the disease and its treatment.

RESULTS

From a total of 1776 patients with SLE, we identified 49 fatal cases (89.8% women, n = 44). The average age at death was 40.6 years (SD 17.4), and patients had a median of 4.5 years (IQR 2-8) of disease duration. The main findings included lymphopenia in 44 patients (89.9%), biopsy-confirmed lupus nephritis (LN)-types IV and VI-in 38 (77.6%), catastrophic antiphospholipid syndrome (CAPS) in 8 (16.3%), and persistent hypocomplementemia (C3 and C4) in 8 (16.3%). The median SLE disease activity index (SLEDAI-2K) score at the time of death was 19 (IQR 11-39). The main cause of death was SLE activity and lupus-induced damage in 22 (44.9%) patients.

CONCLUSION

The main causes of death included SLE activity refractory to immunosuppressive treatment, and nosocomial bacterial infections. The patients who died had persistently high SLEDAI scores, types IV and VI LN, associated antiphospholipid syndrome, and persistent hypocomplementemia, requiring severe immunosuppression and prolonged hospitalization.

Performance of SLEDAI-2K to detect a clinically meaningful change in SLE disease activity: a 36-month prospective cohort study of 334 patients

OBJECTIVE

The objective of this paper is to evaluate the performance of the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI-2K) in detecting clinically meaningful changes in SLE disease activity.

METHODS

A longitudinal cohort study was conducted of 334 SLE patients during a 36-month follow-up. At each outpatient visit, disease activity was scored using the Physician Global Assessment (PGA) and SLEDAI-2K. Correlations between PGA and SLEDAI-2K were assessed. A clinically meaningful change in SLE disease activity was defined as a ΔPGA ≥ 0.3 points from baseline. Performance of SLEDAI-2K in detecting a clinically meaningful worsening or improvement was tested using receiver operating characteristic (ROC) analysis.

RESULTS

Adjusted mean PGA and SLEDAI-2K scores presented a high correlation (rho = 0.824, p < 0.0005). In ROC analysis, a SLEDAI-2K variation presented an area under the curve (AUC) of 0.697 (95% confidence interval (CI) (0.628-0.766), p < 0.0005) to detect a clinically meaningful improvement, with a sensitivity of 28.8% for a SLEDAI-2K ≥ 4 reduction. The AUC to detect a clinically meaningful worsening was 0.877 (95% CI (0.822-0.932), p < 0.0005), with a sensitivity of 35.3%.

CONCLUSIONS

SLEDAI-2K has a limited ability to detect clinically meaningful changes in SLE disease activity, failing to identify almost two-thirds of cases judged as having a clinically meaningful improvement or worsening. There is a need for more sensitive SLE disease activity measures in clinical practice and research.

A comparison between childhood and adult onset systemic lupus erythematosus adjusted for ethnicity from the 1000 Canadian Faces of Lupus Cohort

OBJECTIVE

Childhood-onset SLE (cSLE) manifests differently than adult-onset SLE (aSLE). This study determined whether ethnic differences contribute to the differences in clinical presentation between the two groups.

METHODS

This cross-sectional study used data from a multi-centred registry from eight adult and four paediatric Canadian centres gathered at study entry. We compared the frequency of clinical manifestations and autoantibodies between aSLE and cSLE. For those with a significant difference, a multivariable logistic regression was performed, adjusting for ethnicity, SLE onset (cSLE vs aSLE), disease duration and centre. Disease activity and damage between aSLE and cSLE were compared after stratifying by disease duration.

RESULTS

Of 552 aSLE subjects, 502 (90.9%) were female and 381 (69.0%) were Caucasian. Mean age at diagnosis was 37.0 ± 13.6 years and disease duration 10.9 ± 9.6 years. Of 276 cSLE subjects, 231 (83.7%) were female and 101 (36.6%) were Caucasian. Mean age at diagnosis was 12.7 ± 3.3 years and disease duration 5.6 ± 8.2 years. In multivariable regression analysis, aSLE was associated with decreased odds of having a neurologic disorder (odds ratio = 0.49) and increased odds of having aCL antibodies (odds ratio = 1.85). Disease activity and damage accrual scores were higher in aSLE than cSLE within the same disease duration strata, although the differences were not clinically significant. Ethnicity was not associated with any differences in clinical manifestations or autoantibody frequency between aSLE and cSLE.

CONCLUSIONS

Although a crude comparison of aSLE and cSLE yielded several differences in clinical symptoms and autoantibodies, this difference was not attributable to ethnic differences between aSLE and cSLE.

Derivation and validation of the SLE Disease Activity Score (SLE-DAS): a new SLE continuous measure with high sensitivity for changes in disease activity

OBJECTIVES

To derive and validate a new disease activity measure for systemic lupus erythematosus (SLE), the SLE Disease Activity Score (SLE-DAS), with improved sensitivity to change as compared with SLE Disease Activity Index (SLEDAI), while maintaining high specificity and easiness of use.

METHODS

We studied 520 patients with SLE from two tertiary care centres (derivation and validation cohorts). At each visit, disease activity was scored using the Physician Global Assessment (PGA) and SLEDAI 2000 (SLEDAI-2K). To construct the SLE-DAS, we applied multivariate linear regression analysis in the derivation cohort, with PGA as dependent variable. The formula was validated in a different cohort through the study of: (1) correlations between SLE-DAS, PGA and SLEDAI-2K; (2) performance of SLEDAI-2K and SLE-DAS in identifying a clinically meaningful change in disease activity (ΔPGA≥0.3); and (3) accuracy of SLEDAI-2K and SLE-DAS time-adjusted means in predicting damage accrual.

RESULTS

The final SLE-DAS instrument included 17 items. SLE-DAS was highly correlated with PGA (r=0.875, p<0.0005) and SLEDAI-2K (r=0.943, p<0.0005) in the validation cohort. The optimal discriminative ΔSLE-DAS cut-off to detect a clinically meaningful change was 1.72. In the validation cohort, SLE-DAS showed a higher sensitivity than SLEDAI-2K (change ≥4) to detect a clinically meaningful improvement (89.5% vs 47.4%, p=0.008) or worsening (95.5% vs 59.1%, p=0.008), while maintaining similar specificities. SLE-DAS performed better in predicting damage accrual than SLEDAI-2K.

CONCLUSION

SLE-DAS has a good construct validity and has better performance than SLEDAI-2K in identifying clinically significant changes in disease activity and in predicting damage accrual.

Epigenome-wide association study of peripheral blood mononuclear cells in systemic lupus erythematosus: Identifying DNA methylation signatures associated with interferon-related genes based on ethnicity and SLEDAI

Systemic lupus erythematosus (SLE or lupus) is a heterogeneous autoimmune disease characterized by the involvement of multiple organs and the production of antinuclear antibodies. DNA methylation plays an important role in the pathogenesis of lupus. We have performed an epigenome-wide DNA methylation study in lupus and healthy control (non-lupus) subjects to identify epigenetic patterns in lupus characterized ethnicity and SLE disease activity index (SLEDAI). A total of fifty-seven lupus patients (39 African American (AA) and 18 European American (EA)) and 33 healthy controls (17 AA and 16 EA) were studied. Differential DNA methylation between lupus patients and controls was assessed for approximately 485,000 CpG sites across the genome. We identified 41 differentially methylated sites (associated with 30 genes) between lupus and control s subjects, 85% of which were hypomethylated. Significant hypomethylation of differentially methylated sites was associated with several interferon-related genes, including MX1, IFI44L, PARP9, DT3XL, IFIT1, IFI44, RSAD2, PLSCR1, and IRF7. Several of these associated genes were also hypomethylated in comparisons between AA lupus and AA non-lupus subjects and between lupus patients with SLEDAI>6 and non-lupus subjects. Our analysis of gene expression data through RT-PCR confirmed these findings. Thus, the results indicate epigenetics susceptibility in lupus, which may be associated with SLEDAI score and ethnicity. In addition, our findings support the importance of the Type 1 interferon pathway in lupus pathogenesis.

Antibodies to extractable nuclear antigens (ENAS) in systemic lupus erythematosus patients: correlations with clinical manifestations and disease activity

The aim was to explore possible correlations of antibodies to extractable nuclear antigens (ENA) with clinical manifestations and disease activity indices in systemic lupus erythematosus (SLE) patients. A total of 70 consecutive SLE patients (64 females) were included. Disease activity was assessed by SLE activity index (SLEDAI), and British Isles Lupus Assessment Group (BILAG). Anti-Ro/SSA correlated positively with, headache (r=0.24, p=0.04), blurring of vision (r=0.25, p=0.03) and SLEDAI (r=0.25, p=0.04) and negatively with C3 (r=-0.35, p=0.003). Anti-Ro/SSA correlated with anti La/SSB antibodies (r=0.69, p<0.001), but not with anti-DNA, anti-RNP and anti-Sm antibodies. Anti-La/SSB antibodies correlated with headache (r=0.26, p=0.03), SLEDAI (r=0.25, p=0.03) and negatively with C3 (r=-0.34, p=0.004). Anti-La/SSB did not correlate with anti-RNP or anti-Sm antibodies. Anti-Sm antibodies correlated with disease duration (r=0.34, p=0.003), 24 hours urinary proteins (r=0.31, p=0.008), SLEDAI (r=0.31, p=0.009), BILAG renal score (r=0.29, p=0.02) and negatively with age at onset (r=-0.27, p=0.02), WBCs (r=-0.29, p=0.014) and C4 (r=-0.25, p=0.049). In multivariate analyses, anti-Ro/SSA antibodies remained associated with headache, blurring of vision and C3 and anti-La/SSB antibodies remained associated with C3 and with headache. Anti-Sm antibodies were independently associated with disease duration and total SLEDAI scores, while anti-RNP antibodies remained significantly associated with BILAG mucocutaneous scores only. Antibodies to ENAs are associated with clinical aspects of SLE and may play a role in the assessment of disease activity. Insight into these ENAs may lead to new approaches to diagnostic testing, accurate evaluation of disease activity and lead to target approach for SLE.