Systemic lupus erythematosus increases risk of incident atrial fibrillation: A systematic review and meta-analysis

SPATS2L is a positive feedback regulator of the type I interferon signaling pathway and plays a vital role in lupus

Through genome-wide association studies (GWAS) and integrated expression quantitative trait locus (eQTL) analyses, numerous susceptibility genes ("eGenes", whose expressions are significantly associated with common variants) associated with systemic lupus erythematosus (SLE) have been identified. Notably, a subset of these eGenes is correlated with disease activity. However, the precise mechanisms through which these genes contribute to the initiation and progression of the disease remain to be fully elucidated. In this investigation, we initially identify SPATS2L as an SLE eGene correlated with disease activity. eSignaling and transcriptomic analyses suggest its involvement in the type I interferon (IFN) pathway. We observe a significant increase in SPATS2L expression following type I IFN stimulation, and the expression levels are dependent on both the concentration and duration of stimulation. Furthermore, through dual-luciferase reporter assays, western blot analysis, and imaging flow cytometry, we confirm that SPATS2L positively modulates the type I IFN pathway, acting as a positive feedback regulator. Notably, siRNA-mediated intervention targeting SPATS2L, an interferon-inducible gene, in peripheral blood mononuclear cells (PBMCs) from patients with SLE reverses the activation of the interferon pathway. In conclusion, our research highlights the pivotal role of SPATS2L as a positive-feedback regulatory molecule within the type I IFN pathway. Our findings suggest that SPATS2L plays a critical role in the onset and progression of SLE and may serve as a promising target for disease activity assessment and intervention strategies.

Comparison of Clinical and Laboratory Characteristics in Lupus Nephritis vs. Non-Lupus Nephritis Patients-A Comprehensive Retrospective Analysis Based on 921 Patients

Background: Lupus nephritis (LN) is an inflammation of the kidneys that is related to systemic lupus erythematosus (SLE). This study aimed to evaluate the differences in clinical and laboratory characteristics between LN and non-LN SLE patients. Methods: We conducted a retrospective analysis of medical records collected from SLE patients treated at the University Hospital in Kraków, Poland, from 2012 to 2022. All patients met the 2019 European League Against Rheumatism and the American College of Rheumatology (EULAR/ACR) criteria for SLE. Results: Among 921 SLE patients, LN was documented in 331 (35.94%). LN patients were younger at SLE diagnosis (29 vs. 37 years; p < 0.001) and had a male proportion that was 2.09 times higher than the non-LN group (16.62% vs. 7.97%; p < 0.001). They were more often diagnosed with serositis and hematological or neurological involvement (p < 0.001 for all). Hypertension and hypercholesterolemia occurred more frequently in these patients (p < 0.001 for both). LN patients exhibited a higher frequency of anti-dsDNA, anti-histone, and anti-nucleosome antibodies (p < 0.001 for all). Conversely, the non-LN group had a 1.24-fold (95% CI: 1.03-1.50; p = 0.021) increase in the odds ratio of having positive anti-cardiolipin IgM antibody results. LN patients were more frequently treated with immunosuppressants. The risk factors for experiencing at least three LN flares included female sex, younger age at the onset of LN or SLE, LN occurring later than SLE onset, the presence of anti-nucleosome or anti-dsDNA antibodies, and certain SLE manifestations such as myalgia, arthritis, proteinuria > 3.5 g/day, and pathological urinary casts in the urine sediment. Conclusions: LN patients differ from non-LN patients in the age of SLE diagnosis, treatment modalities, and autoantibody profile and have more frequent, severe manifestations of SLE. However, we still need more prospective studies to understand the diversity of LN and its progression in SLE patients.

The impact of Libman-sacks endocarditis on inpatient outcomes with systemic lupus erythematosus: A retrospective study

INTRODUCTION

The existing literature offers limited insights into the influence of Libman-Sacks Endocarditis (LSE) on inpatient outcomes in individuals with Systemic Lupus Erythematosus (SLE). This study aimed to explore the characteristics and prognosis of SLE patients with LSE and the impact of LSE in patients with SLE on inpatient outcomes including inpatient mortality, length of stay, acute heart failure, atrial fibrillation, and cerebrovascular accidents (CVA).

METHODS

This study included adult patients who were hospitalized with SLE between the years 2019 and 2020, using the National Inpatient Sample (NIS) database. The total number of patients with a diagnosis of SLE in the years 2019 and 2020 in the NIS database was 150,411. Of those, 349 had a diagnosis of LSE. The study population was divided into two groups: one group with SLE and LSE, and another group with SLE but without LSE.

RESULTS

Caucasians made up 54.9% of the patients with a diagnosis of SLE in our patient population, while African Americans made up 26.9% and the Hispanics accounted for 12.2%. Of patients with LSE, Caucasians and African Americans represented 42.9% each. Patients with a diagnosis of LSE had a higher inpatient mortality than those with SLE without LSE (aOR: 9.74 CI 1.12-84.79, p 0.04). Patients with SLE with LSE were more likely to have acute heart failure than those without LSE, although this was not statistically significant (aOR 1.18 CI 0.13-11.07, p 0.88). Similarly, patients with SLE with LSE were more likely to have atrial fibrillation than those without LSE (aOR 4.45 CI: 0.77-25.57, p 0.10). CVAs were significantly higher in SLE patients with LSE than those without LSE (aOR 141.43 CI 16.59-1205.52, p < .01).

DISCUSSION

Patients who develop LSE were found to have significantly higher risks of inpatient mortality and cerebrovascular accidents. Early and precise detection of LSE in such patients may ensure timely intervention and prevention of the associated adverse outcomes. Further studies may attempt to develop screening methods for detection of LSE to effectively reduce morbidity and mortality associated with SLE.

Relationship between CD274 gene polymorphism and systemic lupus erythematosus risk in a Chinese Han population

OBJECTIVE

Relationship between surface antigen differentiation cluster 274 (CD274) gene polymorphism and systemic lupus erythematosus (SLE) risk is limited. This study aims to discuss whether in a Chinese Han population, CD274 gene polymorphisms may relate to SLE susceptibility.

METHODS

Three hundred and ten SLE patients and 390 healthy controls were included in this case-control study. Using the Kompetitive Allele-Specific PCR (KASP) approach, five single nucleotide polymorphisms (SNPs), including rs2890658, rs4143815, rs822339, rs2282055, and rs2297137, were genotyped for CD274 gene polymorphisms. Correlation between the polymorphisms and clinical, laboratory features in SLE patients were discussed.

RESULTS

Frequency of C allele was substantially lower in SLE patients than in healthy controls (p = .015), and CC genotype was significantly negatively related to developing SLE at locus rs4143815 (p = .013). At locus rs822339, frequency of GA genotype was higher than that of the healthy controls (p = .006). At locus rs2282055, frequency of GG genotype was lower than that of healthy controls (p = .024). According to subgroup analysis, the CD274 gene polymorphisms rs2890658, rs4143815, rs822339, rs2282055, and rs2297137 were partly linked to some clinical symptoms of SLE patients, such as Complement 4 (C4), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR).

CONCLUSION

CD274 gene polymorphisms may be susceptible to SLE in the Chinese Han people.

Association of STAT3 gene polymorphisms with systemic lupus erythematosus in a Chinese Han population

OBJECTIVE

Evidence supports the important role of STAT3 in SLE; however, association between STAT3 gene polymorphisms and SLE risk needs discussion.

METHODS

Three hundred SLE patients and 380 healthy controls from Chinese Han population were included. DNA is extracted from peripheral blood mononuclear cells and the clinical characteristics of patients are collected. STAT3 gene polymorphisms (rs6503695, rs744166, rs9912773, and rs12601982) were genotyped by the Kompetitive Allele-Specific PCR (KASP) method. SPSS 26.0 was utilized to analyze the genetic susceptibility of SLE and STAT3 gene polymorphisms.

RESULTS

Frequencies of genotypes CT, TT, and TT+CT were significantly lower in SLE patients compared with those in healthy controls with respect to rs6503695 (p = .007, p < .001, p = .001). Frequencies of rs744166 genotypes AG, AA, and AA+AG were decreased in SLE patients as compared to those in healthy controls (p = .034, p = .006, p = .009). The recessive models (CC vs GG+GC) for rs9912773 and (AA vs GG+GA) for rs12601982 were significantly related to SLE patients (p = .014, p = .035). Moreover, allele C of rs6503695 was related to optic nerve damage in SLE patients (p = .036). rs744166 allele G was correlated with positive rash and albuminuria in SLE patients (p = .006, p = .014). For rs9912773, SLE patients carrying genotype GG had higher serum C3 and C4 levels compared to genotype GC+CC (p = .029, p = .028). The rs12601982 allele G was strongly associated with positive hypocomplementemia in SLE patients (p = .034). SLE patients carrying genotypes GG, GC, and CC had different SLEDAI score for rs12601982 (GG vs GC vs CC, p = .003).

CONCLUSION

STAT3 gene polymorphisms associated with SLE susceptibility.

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.

Performance of eye sign combined with increased interleukin-6 in cerebrospinal fluid in patients with neuropsychiatric lupus erythematosus

OBJECTIVES

To ascertain whether microvascular alterations of eye sign combined with intrathecal concentrations of interleukin-6 (IL-6) can predict the development of neuropsychiatric systemic lupus erythematosus (NPSLE).

METHODS

Cerebrospinal fluid (CSF) and serum samples of IL-6 were collected and measured at the same time for patients with SLE who were consecutively enrolled. Patients with a diagnosis of NPSLE were identified. Eye sign examinations according to our criteria were performed and scored for all SLE patients. Demographic and clinical parameters were compared between groups to identify potential predictors for NPSLE using multivariable logistic regression analysis. The performance of potential predictors from eye sign along with IL-6 in the CSF was assessed.

RESULTS

A total of 120 patients with SLE were enrolled; 30 with NPSLE and 90 with non-NPSLE. No significant positive correlation was observed between CSF level and serum level of IL-6. CSF IL-6 was significant higher in the NPSLE group than the non-NPSLE (P < 0.001) group. Multivariable logistic analysis revealed that total score, ramified loops, and microangioma of eye sign were predictors for NPSLE after adjusting for SLE Disease Activity Index (SLEDAI) and antiphospholipid antibody (APL). Total score, ramified loops, microangioma of eye sign, and SLEDAI remain significant predictors for NPSLE after adjusting for CSF IL-6. Using receiver operating characteristics curve analysis, the cut-off point of potential predictors was applied in multivariable logistic analysis; APL, total score, ramified loops, and microangioma of eye sign remain significant predictors for NPSLE after adjusting for CSF IL-6.

CONCLUSION

Specific microvascular alterations of eye sign are predictors for the development of NPSLE in addition to increased IL-6 in the CSF.

SHP2: its association and roles in systemic lupus erythematosus

OBJECTIVE

Systemic lupus erythematosus (SLE) is an autoimmune inflammatory disease. Src homology 2 domain containing protein tyrosine phosphatase (SHP2) is a member of the protein tyrosine phosphatases (PTPs) family. To date, relationship between SHP2 and SLE pathogenesis is not elucidated.

METHOD

We measured plasma levels of SHP2 in 328 SLE patients, 78 RA patients, 80 SS patients and 79 healthy controls by ELISA, and discussed association of SHP2 in SLE patients, potential of plasma SHP2 as a SLE biomarker. Moreover, histological and serological changes were evaluated by flow cytometry, HE/Masson examination, immunofluorescence test in pristane-induced lupus mice after SHP2 inhibitor injection to reveal role of SHP2 in lupus development.

RESULTS

Results indicated that SHP2 plasma levels were upregulated in SLE patients and correlated with some clinical, laboratory characteristics such as proteinuria, pyuria, and may be a potential biomarker for SLE. After SHP2 inhibitor treatment, hepatosplenomegaly and histological severity of the kidney in lupus mice were improved. SHP2 inhibitor reversed DCs, Th1, and Th17 cells differentiation and downregulated inflammatory cytokines (IL-4, IL-6, IL-10, IL-17A, IFN-γ and TNF-α) and autoantibodies (ANA, anti-dsDNA) production in pristane-lupus mice.

CONCLUSION

In summary, SHP2 correlated with SLE pathogenesis and promoted the development of lupus.

Circulating leptin level in osteoarthritis and associations between leptin receptor polymorphisms and disease susceptibility: A meta-analysis

OBJECTIVE

This study aimed to systemically review the evidence on the relationship between the circulating leptin levels and osteoarthritis (OA), and the association between leptin and leptin receptor (LEPR) polymorphisms and OA susceptibility.

METHODS

To find relevant papers (up to February 2023) examining the association between circulating leptin levels, LEPR polymorphisms, and OA, the PUBMED, EMBASE, and Cochrane databases were searched. We performed a meta-analysis to examine the levels of synovial and serum/plasma leptin in OA patients compared with healthy controls, as well as the relationship between OA and LEPR polymorphisms.

RESULTS

Data from 15 investigations, totaling 2197 patients with OA and 2546 controls, were included in the meta-analysis. There were statistically significant differences in the levels of circulating leptin between the OA and control groups (standardized mean difference [SMD] 2.178, 95% confidence interval [CI] 1.208-3.139, P = 0.001). Leptin levels were also substantially greater in European, Asian, and Arab groups among OA patients. After adjusting for age, sex, and/or body mass index, the leptin levels of patients with OA were significantly higher. Similarly, regardless of sample size (n < 100 and n ≥ 100) or year of publication, leptin levels were considerably higher in the OA group. In addition, the synovial leptin level was greater in the OA group than in the control group (SMD 0.783; 95% CI 0.247-1.319, P = 0.004). In the LEPR rs1137101 polymorphism, the OA and AA genotypes were significantly associated (odds ratio 0.282, 95% CI 0.126-0.629, P = 0.002), according to the meta-analysis. Ethnic stratification revealed an association between OA and the LEPR rs1137101 AA genotype in Asian and Arab populations.

CONCLUSION

The results of this meta-analysis indicate that patients with OA had considerably greater levels of circulating leptin than did control individuals. In addition, synovial leptin levels were greater in OA patients than in healthy individuals, and the LEPR rs1137101 polymorphism was linked to an increased risk of developing OA. These results imply that leptin participates in the onset and progression of OA.