Cytokine secretion and the risk of depression development in patients with connective tissue diseases

Research in the past two decades has revolutionized our understanding of depressive illnesses. Proinflammatory cytokines have become a point of interest in the interconnecting areas of neuropsychiatric and autoimmune diseases. The cytokine hypothesis of depression suggests that pro-inflammatory cytokines play a primary role in the mediation of the pathophysiological characteristics of major depression, in which an inflammatory process may be induced by external and internal stressors, such as psychological and inflammatory diseases, respectively. The higher prevalence of depression, particularly in patients with chronic autoimmune connective tissue disorders (CTD), suggests that depression may present a dysfunctional adaptation of cytokine-induced sickness, which could manifest in times of an exacerbated activation of the innate immune system. Inflammation is thought to contribute to the development of clinical depression through its ability to induce sickness behaviors corresponding to the neurovegetative features of depression, through the dysregulation of the hypothalamic-pituitary-adrenal axis, alterations in neurotransmitter synthesis and reuptake, and through its involvement in the neuroprogression pathways. This review explores the complex interrelationships in which inflammatory responses alter neuroendocrine and neuropsychological regulation contributing to depressive symptoms in CTD. The prevalence and characteristics of depression, and its correlation to the levels of inflammatory cytokines and disease activity among different CTD will be reviewed.

Cognitive Impairment in Patients With Neuropsychiatric and Non-neuropsychiatric Systemic Lupus Erythematosus: A Systematic Review and Meta-analysis

OBJECTIVES

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease. Its most prevalent manifestation is neuropsychiatric SLE (NP-SLE), which is characterized by increased involvement of the nervous system, with relevant symptoms, such as marked cognitive deficits, which are directly involved in subsequent functional disability. The objective of this study is to identify and compare the profile of cognitive deficits in patients with NP-SLE and patients with non-neuropsychiatric SLE (nonNP-SLE) by means of a systematic review and meta-analysis.

METHODS

We performed a systematic literature search based on the key words "cogn* OR neurocogn* AND lupus AND neuropsychiatry*" and included articles published between April 1999 and December 2016. A total of 244 articles were retrieved. We excluded reviews and meta-analyses, experiments not performed in humans, and single case reports. We included studies that used standardized cognitive measures and had included at least the subgroups NP-SLE and non NP-SLE.

RESULTS

The meta-analysis was finally based on six studies, and 10 neuropsychological variables were examined. Significant differences were observed between the groups for six variables. In the remaining four variables, we observed marked heterogeneity between the groups or a low number of studies.

CONCLUSIONS

The data obtained indicate greater cognitive impairment among NP-SLE patients than among nonNP-SLE patients, at least for the cognitive domains of visuomotor coordination, attention, executive function, visual learning and memory, and phonetic fluency. The identification and definition of cognitive deficits in SLE patients is necessary to develop adequate cognitive remediation programs to improve functional outcomes. (JINS, 2018, 24, 629-639).

Can SLE classification rules be effectively applied to diagnose unclear SLE cases?

Objective The objective of this paper is to develop novel classification criteria to distinguish between unclear systemic lupus erythematosus (SLE) and mixed connective tissue disease (MCTD) cases. Methods A total of 205 variables from 111 SLE and 55 MCTD patients were evaluated to uncover unique molecular and clinical markers for each disease. Binomial logistic regressions (BLRs) were performed on currently used SLE and MCTD classification criteria sets to obtain six reduced models with power to discriminate between unclear SLE and MCTD patients that were confirmed by receiving operating characteristic (ROC) curve. Decision trees were employed to delineate novel classification rules to discriminate between unclear SLE and MCTD patients. Results SLE and MCTD patients exhibited contrasting molecular markers and clinical manifestations. Furthermore, reduced models highlighted SLE patients exhibiting prevalence of skin rashes and renal disease while MCTD cases show dominance of myositis and muscle weakness. Additionally decision tree analyses revealed a novel classification rule tailored to differentiate unclear SLE and MCTD patients (Lu-vs-M) with an overall accuracy of 88%. Conclusions Validation of our novel proposed classification rule (Lu-vs-M) includes novel contrasting characteristics (calcinosis, CPK elevated and anti-IgM reactivity for U1-70K, U1A and U1C) between SLE and MCTD patients and showed a 33% improvement in distinguishing these disorders when compared to currently used classification criteria sets. Pending additional validation, our novel classification rule is a promising method to distinguish between patients with unclear SLE and MCTD diagnosis.

Clinical Features of Neuropsychiatric Syndromes in Systemic Lupus Erythematosus and Other Connective Tissue Diseases

Systemic lupus erythematosus (SLE) and related disorders are chronic inflammatory diseases characterized by abnormalities and, in some cases, even complete failure of immune responses as the underlying pathology. Although almost all connective tissue diseases and related disorders can be complicated by various neuropsychiatric syndromes, SLE is a typical connective tissue disease that can cause neurological and psychiatric syndromes. In this review, neuropsychiatric syndromes complicating connective tissue diseases, especially SLE are outlined, and pathological and other conditions that should be considered in the differential diagnosis are also discussed.

Prevalence and correlates of suicidal thoughts in patients with neuropsychiatric lupus

BACKGROUND

Suicidal ideation is observed in patients with systemic lupus erythematosus (SLE). No study on this notable phenomenon in neuropsychiatric SLE (NPSLE) is available so far.

METHODS

Participants were 53 consecutive outpatients with NPSLE (48 women; mean age 43.8 years) diagnosed according to the American College of Rheumatology nomenclature for SLE neuropsychiatric syndromes. A Neuropsychiatric Questionnaire (NP-Q) concerning 45 neurological, cognitive and psychiatric symptoms was used to assess the prevalence of self-perceived neuropsychiatric symptoms. The Modified Hospital Anxiety and Depression Scale (HADS-M) was used to assess the level of anxiety, depression and irritability. Formal neuropsychological examination was performed. Clinical data were collected by means of medical charts review and structured interview.

RESULTS

Suicidal thoughts were present in 25% of patients with NPSLE, irrespective of sex, age, education, work status, disease duration and steroid treatment. Suicidal ideation was connected with elevated levels of depression, anxiety and irritability. In patients with suicidal ideation the prevalence of cognitive, psychiatric and neurological self-perceived problems was significantly higher.

CONCLUSIONS

Suicidal thoughts are common in patients with NPSLE. Neuropsychiatric manifestation per se, depression, anxiety and patients' subjective complaints can be risk factors for suicidal ideation. Screening for suicidal thoughts is vital in routine care of SLE patients.

Cambridge Neuropsychological Test Automated Battery in assessment of cognitive parameters in patients with systemic lupus erythematosus in relation to autoantibody profile

Objectives

To relate the cognitive parameters of systemic lupus erythematosus (SLE) patients in remission to their profile of autoantibodies.

Material and methods

The study included 32 patients with SLE in remission, with mild disease activity as indicated by SELENA-SLEDAI < 6. For neuropsychological assessment, the Cambridge Neuropsychological Test Automated Battery (CANTAB) was applied, using motor screening (MOT), big little circle (BLC), paired associated learning (PAL), stockings of Cambridge (SOC), and graded naming tests (GNT). Detection of autoantibodies against dsDNA, nucleosome (aNuc), Sm, and anticardiolipin (aCL: IgG and IgM) was performed with immunoassays.

Results

The SLE patients demonstrated standard scores below norms, matched according to age and gender, in the following tests: GNT (–0.87 ±0.85), SOC PSMM (–0.47 ±0.97), PAL (–1.88 ±3.58), and BLC (–0.31 ±1.90). GNT scores under –0.5 were found significantly more frequently in SLE patients, seen in roughly 66% of test subjects. Values for PAL and mean subsequent thinking time of stockings of Cambridge (SOC MSTT) were found to be lower than –0.5 in approximately half of the patients. Mean error of motor screening (MOT ME) was found to negatively correlate with mean latency of motor screening (MOT ML) (r = –0.55). PAL significantly correlated with SOC MSTT (r = 0.38) and with GNT (r = 0.36). Anti-dsDNA antibody level correlated negatively with MOT ME (r = –0.46). Anti-Nuc antibodies correlated with MOT ML (r = 0.41) but negatively correlated with MOT ME (r = –0.58). The levels of anti-Sm, anti-CL IgM and IgG did not correlate significantly with the outcomes of CANTAB. The age of the patients correlated negatively with MOT ME (r = –0.36), positively with BLC (r = 0.53) and negatively with SOC MSTT (r = –0.43). The level of anti-Nuc antibodies correlated with anti-dsDNA level (r = 0.62) and of anti-CL IgM with anti-Sm (r = 0.39) and anti-CL IgG (r = 0.87).

Conclusions

CANTAB reveals a decrease in selected cognitive functions in patients with SLE. ACL IgG and anti-dsDNA antibodies indicated SLE patients prone to develop a decrease in cognitive functions.

Differential immunoglobulin class-mediated responses to components of the U1 small nuclear ribonucleoprotein particle in systemic lupus erythematosus and mixed connective tissue disease

OBJECTIVE

The objective of this paper is to determine whether patients with systemic lupus erythematosus (SLE) and mixed connective tissue disease (MCTD) possess differential IgM- and IgG-specific reactivity against peptides from the U1 small nuclear ribonucleoprotein particle (U1 snRNP).

METHODS

The IgM- and IgG-mediated responses against 15 peptides from subunits of the U1 snRNP were assessed by indirect enzyme linked immunosorbent assays (ELISAs) in sera from patients with SLE and MCTD and healthy individuals (n = 81, 41, and 31, respectively). Additionally, 42 laboratory tests and 40 clinical symptoms were evaluated to uncover potential differences. Binomial logistic regression analyses (BLR) were performed to construct models to support the independent nature of SLE and MCTD. Receiver operating characteristic (ROC) curves corroborated the classification power of the models.

RESULTS

We analyzed IgM and IgG anti-U1 snRNP titers to classify SLE and MCTD patients. IgG anti-U1 snRNP reactivity segregates SLE and MCTD from nondisease controls with an accuracy of 94.1% while IgM-specific anti-U1 snRNP responses distinguish SLE from MCTD patients with an accuracy of 71.3%. Comparison of the IgG and IgM anti-U1 snRNP approach with clinical tests used for diagnosing SLE and MCTD revealed that our method is the best classification tool of those analyzed (p ≤ 0.0001).

CONCLUSIONS

Our IgM anti-U1 snRNP system along with lab tests and symptoms provide additional molecular and clinical evidence to support the hypothesis that SLE and MCTD may be distinct syndromes.