Neuropsychiatric involvement in systemic lupus erythematosus: A review

The neuropsychiatric involvement in systemic lupus erythematosus (NPSLE) is a challenge for clinicians, both at a diagnostic and therapeutic level. Although in 1999 the American College of Rheumatology (ACR) proposed a set of definitions for 19 NPSLE syndromes, with the intention of homogenizing the terminology for research purposes and clinical practice, the prevalence of NPSLE varies widely according to different series and is estimated to be between 37 and 95%. This is due to multiple factors such as the unalike definitions used, the diverse design of the studies, type of population, race, type and severity of symptoms, and follow-up of the different cohorts of patients with SLE. In recent years, some authors have tried excluding minor neuropsychiatric manifestations in order to try to reduce this wide variation in the prevalence of NPSLE since they are very prevalent in the general population; others authors have developed various models for the attribution of neuropsychiatric events to SLE that can assist clinicians in this diagnostic process, and finally, some authors developed and validated in 2014 a new algorithm based on the definitions of the ACR that includes the evaluation of the patient's lupus activity together with imaging techniques and the analysis of cerebrospinal fluid (CSF), with the aim of trying to differentiate the true neuropsychiatric manifestations attributable to SLE. In 2010, the European League Against Rheumatism (EULAR) developed recommendations for the management of NPSLE. We found abundant literature published later where, in addition to the recommendations for the management of the 19 NPSLE syndromes defined by the ACR, additional recommendations are given for other neurological and/or psychiatric syndromes, conditions, and complications that have been associated to SLE in recent years. We review below the diagnostic and therapeutic management of the different entities.

Association between changes in gene signatures expression and disease activity among patients with systemic lupus erythematosus

BACKGROUND

We assessed the stability of BAFF, interferon, plasma cell and LDG neutrophil gene expression signatures over time, and whether changes in expression coincided with changes in SLE disease activity.

METHODS

Two hundred forty-three patients with SLE were evaluated for disease activity, serological parameters and peripheral blood gene signatures in clinic visits (2 or more per patient) that occurred between 2009 and 2012. Levels of the BAFF gene transcript, plasma cell signature, Interferon (IFN) signature and the low density granulocytes (LDG)-associated neutrophil gene signature were assessed in PAX-gene-preserved peripheral blood by global microarray. The stability of repeated measures of gene expression was quantified using intra-class correlation coefficients. SLE disease activity was measured using the Physicians Global Assessment and the SELENA-SLEDAI index and its components. Using a mixed effects regression model we assessed: 1) the association between a patient's average gene signature expression over time and disease activity, and 2) the association between a patient's changes in gene expression over time and changes in disease activity.

RESULTS

Gene expression signatures showed more within-person stability than systolic blood pressure. The IFN signature exhibited the most stability. Patients with high levels of BAFF and IFN transcripts tended to have significantly higher levels of musculoskeletal disease, skin disease, anti-dsDNA, and erythrocyte sedimentation rate, and lower levels of complement. However, changes in BAFF or IFN gene signatures were not associated with changes in disease activity. Similar associations were seen between the LDG gene signature and disease activity. However, when LDG increased, complement tended to increase. Patients with high levels of plasma cell gene signature tended to have higher levels of anti-dsDNA and lower levels of complement. However, unlike the other gene signatures, changes in plasma cell gene signature significantly coincided with changes in anti-dsDNA and complement.

CONCLUSIONS

The gene expression signatures were relatively stable within patients over time. BAFF and interferon gene expression were markers of patients with generally higher disease activity, but changes in these gene signatures did not coincide with changes in disease activity. Plasma Cell gene signature expression tracked with the traditional SLE serologic markers of anti-dsDNA and complement.