How can we reduce the risk of serious infection for patients with systemic lupus erythematosus?

Infection is responsible for approximately 25% of all deaths in patients with systemic lupus erythematosus (SLE), making it a leading cause of mortality among patients. Ruiz-Irastorza and colleagues, in a recent issue of Arthritis Research & Therapy, report the clinical predictors of major infections found in a prospective study of patients with SLE. Similar patterns of infection and pathogens as reported in previous studies were seen; what is striking, however, was the protective effect seen with anti-malarial use. Many infections in patients with SLE could be prevented with timely vaccinations, reducing exposure to contagious contacts, screening for latent infections, minimizing exposure to corticosteroids, targeted prophylaxis for high risk patients, and, unless contraindicated, anti-malarial therapy as standard of care

Spatial Environmental Modeling of Autoantibody Outcomes among an African American Population

In this study of autoimmunity among a population of Gullah African Americans in South Carolina, the links between environmental exposures and autoimmunity (presence of antinuclear antibodies (ANA)) have been assessed. The study population included patients with systemic lupus erythematosus (n = 10), their first degree relatives (n = 61), and unrelated controls (n = 9) where 47.5% (n = 38) were ANA positive. This paper presents the methodology used to model ANA status as a function of individual environmental influences, both self-reported and measured, while controlling for known autoimmunity risk factors. We have examined variable dimension reduction and selection methods in our approach. Following the dimension reduction and selection methods, we fit logistic spatial Bayesian models to explore the relationship between our outcome of interest and environmental exposures adjusting for personal variables. Our analysis also includes a validation “strip” where we have interpolated information from a specific geographic area for a subset of the study population that lives in that vicinity. Our results demonstrate that residential proximity to exposure site is important in this form of analysis. The use of a validation strip network demonstrated that even with small sample numbers some significant exposure-outcome relationships can be detected

Successes, challenges and lessons learned: Community-engaged research with South Carolina's Gullah population

Engaging communities is highly recommended in the conduct of health research among vulnerable populations. The strength of community-engaged research is well documented and is recognised as a useful approach for eliminating health disparities and improving health equity. In this article, five interdisciplinary teams from the Medical University of South Carolina present their involvement with community-engaged research with a unique population of Gullah African Americans residing in rural South Carolina. Their work has been integrated with the nine established principles of community-engaged research: establishing clear goals, becoming knowledgeable about the community, establishing relationships, developing community self-determination, partnering with the community, maintaining respect, mobilising community assets, releasing control, and maintaining community collaboration. In partnership with a Citizen Advisory Committee, developed at the inception of the first community-engaged research project, the academic researchers have been able to build on relationships and trust with this population to sustain partnerships and to meet major research objectives over a 20-year period. Challenges observed include structural inequality, organisational and cultural issues, and lack of resources for building sustainable research infrastructure. Lessons learned during this process include the necessity for clearly articulated and shared goals, knowledge about the community culture, and embedding the cultural context within research approaches. Keywords: Engaged health research, vulnerable populations, longterm collaboration, South Carolina 'Gullah' communitie

Premature atherosclerosis is associated with hypovitaminosis d and angiotensin-converting enzyme inhibitor non-use in lupus patients

The ultimate goal is to identify and target modifiable risk factors that will reduce major cardiovascular events in African American lupus patients. As a first step toward achieving this goal, this study was designed to explore risk factor models of preclinical atherosclerosis in a predominantly African American group of patients with systemic lupus erythematosus (SLE) using variables historically associated with endothelial function in nonlupus populations. Fifty-one subjects with SLE but without a history of clinical cardiovascular events were enrolled. At entry, a Framingham risk factor history and medication list were recorded. Sera and plasma samples were analyzed for lipids, lupus activity markers and total 25-hydroxyvitamin D (25 OH)D) levels. Carotid ultrasound measurements were performed to determine total plaque area (TPA) in both carotids. Cases had TPA values above age-matched controls from a vascular prevention clinic population. Logistic regression and machine learning analyses were performed to create predictive models. 25(OH)D levels were significantly lower, and SLE disease duration was significantly higher in cases. 25(OH)D levels inversely correlated with age-adjusted TPA. Angiotensin-converting enzyme (ACE) inhibitor nonuse associated with case status. Logistic regression models containing ACE inhibitor use, 25(OH)D levels and low-density lipoprotein levels had a diagnostic accuracy of 84% for predicting accelerated atherosclerosis. Similar results were obtained with machine learning models, but hydroxychlo-roquine use associated with controls in these models. This is the first study to demonstrate an association between atherosclerotic burden and 25(OH)D insufficiency or ACE inhibitor nonuse in lupus patients. These findings provide strong rationale for the study of ACE inhibitors and vitamin D replenishment as preventive therapies in this high-risk population. © Copyright 2012 Southern Society for Clinical Investigation

The Impact of Vitamin D on Dendritic Cell Function in Patients with Systemic Lupus Erythematosus

Excessive activity of dendritic cells (DCs) is postulated as a central disease mechanism in Systemic Lupus Erythematosus (SLE). Vitamin D is known to reduce responsiveness of healthy donor DCs to the stimulatory effects of Type I IFN. As vitamin D deficiency is reportedly common in SLE, we hypothesized that vitamin D might play a regulatory role in the IFNalpha amplification loop in SLE. Our goals were to investigate the relationship between vitamin D levels and disease activity in SLE patients and to investigate the effects of vitamin D on DC activation and expression of IFNalpha-regulated genes in vitro.In this study, 25-OH vitamin D (25-D) levels were measured in 198 consecutively recruited SLE patients. Respectively, 29.3% and 11.8% of African American and Hispanic SLE patient had 25-D levels <10 ng/ml. The degree of vitamin D deficiency correlated inversely with disease activity; R = -.234, p = .002. In 19 SLE patients stratified by 25-D levels, there were no differences between circulating DC number and phenotype. Monocyte-derived DCs (MDDCs) of SLE patients were normally responsive to the regulatory effects of vitamin D in vitro as evidenced by decreased activation in response to LPS stimulation in the presence of 1,25-D. Additionally, vitamin D conditioning reduced expression of IFNalpha-regulated genes by healthy donor and SLE MDDCs in response to factors in activating SLE plasma.We report on severe 25-D deficiency in a substantial percentage of SLE patients tested and demonstrate an inverse correlation with disease activity. Our results suggest that vitamin D supplementation will contribute to restoring immune homeostasis in SLE patients through its inhibitory effects on DC maturation and activation. We are encouraged to support the importance of adequate vitamin D supplementation and the need for a clinical trial to assess whether vitamin D supplementation affects IFNalpha activity in vivo and, most importantly, improves clinical outcome

The immune cell landscape in kidneys of patients with lupus nephritis.

Lupus nephritis is a potentially fatal autoimmune disease for which the current treatment is ineffective and often toxic. To develop mechanistic hypotheses of disease, we analyzed kidney samples from patients with lupus nephritis and from healthy control subjects using single-cell RNA sequencing. Our analysis revealed 21 subsets of leukocytes active in disease, including multiple populations of myeloid cells, T cells, natural killer cells and B cells that demonstrated both pro-inflammatory responses and inflammation-resolving responses. We found evidence of local activation of B cells correlated with an age-associated B-cell signature and evidence of progressive stages of monocyte differentiation within the kidney. A clear interferon response was observed in most cells. Two chemokine receptors, CXCR4 and CX3CR1, were broadly expressed, implying a potentially central role in cell trafficking. Gene expression of immune cells in urine and kidney was highly correlated, which would suggest that urine might serve as a surrogate for kidney biopsies

Early disease onset is predicted by a higher genetic risk for lupus and is associated with a more severe phenotype in lupus patients

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94407/1/Webb_2011_Early_disease_onset.pdf165

Genetic associations of leptin-related polymorphisms with systemic lupus erythematosus

Leptin is abnormally elevated in the plasma of patients with systemic lupus erythematosus (SLE), where it is thought to promote and/or sustain pro-inflammatory responses. Whether this association could reflect an increased genetic susceptibility to develop SLE is not known, and studies of genetic associations with leptin-related polymorphisms in SLE patients have been so far inconclusive. Here we genotyped DNA samples from 15,706 SLE patients and healthy matched controls from four different ancestral groups, to correlate polymorphisms of genes of the leptin pathway to risk for SLE. It was found that although several SNPs showed weak associations, those associations did not remain significant after correction for multiple testing. These data do not support associations between defined leptin-related polymorphisms and increased susceptibility to develop SLE. © 2015 Elsevier Inc

Neuropsychiatric events in systemic lupus erythematosus: a longitudinal analysis of outcomes in an international inception cohort using a multistate model approach.

OBJECTIVES: Using a reversible multistate model, we prospectively examined neuropsychiatric (NP) events for attribution, outcome and association with health-related quality of life (HRQoL), in an international, inception cohort of systemic lupus erythematosus (SLE) patients. METHODS: Annual assessments for 19 NP events attributed to SLE and non-SLE causes, physician determination of outcome and patient HRQoL (short-form (SF)-36 scores) were measured. Time-to-event analysis and multistate modelling examined the onset, recurrence and transition between NP states. RESULTS: NP events occurred in 955/1827 (52.3%) patients and 592/1910 (31.0%) unique events were attributed to SLE. In the first 2 years of follow-up the relative risk (95% CI) for SLE NP events was 6.16 (4.96, 7.66) and non-SLE events was 4.66 (4.01, 5.43) compared with thereafter. Patients without SLE NP events at initial assessment had a 74% probability of being event free at 10 years. For non-SLE NP events the estimate was 48%. The majority of NP events resolved over 10 years but mortality was higher in patients with NP events attributed to SLE (16%) versus patients with no NPSLE events (6%) while the rate was comparable in patients with non-SLE NP events (7%) compared with patients with no non-SLE events (6%). Patients with NP events had lower SF-36 summary scores compared with those without NP events and resolved NP states (p<0.001). CONCLUSIONS: NP events occur most frequently around the diagnosis of SLE. Although the majority of events resolve they are associated with reduced HRQoL and excess mortality. Multistate modelling is well suited for the assessment of NP events in SLE