[Takayasu's arteritis: new diagnostic tools and treatment]

Takayasu's arteritis (TA) is a chronic inflammatory disease, nvolving large blood vessels, such as the aorta and its major branches and the pulmonary arteries. TA is more prevalent in Asia, affecting young adults. This review strives to increase awareness of TA clinical presentation, new diagnostic tools and modern therapeutic options.

Laquinimod suppress antigen presentation in relapsing-remitting multiple sclerosis: in-vitro high-throughput gene expression study

Laquinimod (LAQ) is a new immunomodulatory drug shown to be effective in the treatment of relapsing-remitting multiple sclerosis (RRMS); however, its molecular target pathways are not well recognized. In this study we characterized in-vitro the molecular effects of LAQ in peripheral blood mononuclear cells (PBMC) of healthy subjects and RRMS patients by gene expression microarrays. We demonstrated that LAQ induced suppression of genes related to antigen presentation and corresponding inflammatory pathways. These findings were demonstrated mainly via the NFkB pathway. Analysis of PBMC subpopulations identified activation of Th2 response in CD14+ and CD4+ cells and suppression of proliferation in CD8+ cells.

Prolonged response times characterize cognitive performance in multiple sclerosis

Cognitive impairment is amongst the main symptoms affecting multiple sclerosis (MS) and should be comprehensively and accurately assessed. To study the added value of a computerized neuropsychological battery enabling the measurement of response times in the cognitive domains, 58 randomly selected MS patients and 71 age-, gender- and education-matched healthy subjects were evaluated. Construct and discriminant validity were assessed for the standard Neuropsychological Screening Battery for Multiple Sclerosis (NSBMS) and the Mindstreams Computerized Cognitive Battery (MCCB). The MCCB demonstrated good construct validity in comparison with the NSBMS in memory (P < 0.001), executive function (P < 0.001), attention (P < 0.05) and information processing (P < 0.05) domains. In addition, it showed high discriminant validity most prominently for executive function, attention and motor skills (P < 0.001). Response times measured by the computerized battery were longer in all cognitive domains and varied with cognitive load, demonstrating that response time deficits in MS are associated with particular task demands. We conclude that in MS prolonged response times on a range of cognitive tasks signify abnormal conduction within demyelinative tracts.

Zinc-ion binding and cytokine activity regulation pathways predicts outcome in relapsing-remitting multiple sclerosis

Multiple sclerosis (MS) is a demyelinating disease characterized by an unpredictable clinical course with intermittent relapses that lead over time to significant neurological disability. Clinical and radiological variables are limited in the ability to predict disease course. Peripheral blood genome scale analyses were used to characterize MS patients with different disease types, but not for prediction of outcome. Using complementary-DNA microarrays we studied peripheral-blood gene expression patterns in 53 relapsing-remitting MS patients. Patients were classified into good, intermediate and poor clinical outcome established after 2-year follow-up. A training set of 26 samples was used to identify clinical outcome differentiating gene-expression signature. Supervised learning and feature selection algorithms were applied to identify a predictive signature that was validated in an independent group of 27 patients. Key genes within the predictive signature were confirmed by quantitative reverse transcription-polymerase chain reaction in an additional 10 patients. The analysis identified 431 differentiating genes between patients with good and poor clinical outcome (change in neurological disability by the expanded disability status scale was -0.33 +/- 0.24 and 1.6 +/- 0.35, P = 0.0002, total number of relapses were 0 and 1.80 +/- 0.35, P = 0.00009, respectively). An optimal set of 29 genes was depicted as a clinical outcome predictive gene expression signature and classified appropriately 88.9% of patients. This predictive signature was enriched by genes related biologically to zinc-ion binding and cytokine activity regulation pathways involved in inflammation and apoptosis. Our findings provide a basis for monitoring patients by prediction of disease outcome and can be incorporated into clinical decision-making in relapsing-remitting MS.

Cognitive changes in early MS: A call for a common framework

Cognitive dysfunction is among the main symptoms of multiple sclerosis (MS) and adversely affects patients' quality of life. The occurrence of cognitive impairment early in the disease process raises crucial issues related to definition of the impairment and its magnitude as well as to the tools applied to the assessment. To date there is little evidence concerning the reliability and validity of cognitive measures in early MS and their predictive long-term role. As MS is a complex disease, multidimensional approaches should be further developed and validated to study the cognitive sphere in the early stages of the disease. Considering that none of the available tests performed in isolation is able to provide a complete picture of the cognitive impairment in early MS, this calls for the definition of phase duration, impairment and tools appropriate for use by clinicians and researches. The present review proposes a framework aimed to help neurologists in approaching cognitive impairment in early MS and stimulate discussions and evaluations of the suggested recommendations.

Peripheral blood gene expression signature mirrors central nervous system disease: the model of multiple sclerosis

Global gene expression analysis using cDNA microarrays has proven to be a sensitive method to gain insight into molecular pathways mediating multiple sclerosis (MS) activity and to develop and refine the molecular taxonomy of the disease. This method was applied as a tool to investigate molecular heterogeneity of MS related gene transcripts in the aim of distinguishing between transcripts that trigger disease activity and account for direct genotype-phenotype correlation, and those whose expression is altered as a downstream effect of other genes. This review summarizes the current state of gene expression microarray applications for the study of MS, and specifically emphasizes the results of gene expression studies using peripheral blood mononuclear cells (PBMC) that were shown to be useful for better understanding of disease related pathways, monitoring of therapeutic responses to various drugs and prediction of clinical outcome. In the long run it is expected that the information provided by cDNA microarrays experiments will allow the determination of key molecular players involved in MS pathogenesis, and lead to better management of the disease using targeted treatments that will prevent its progression.

Circulatory neurosteroid levels in underweight female adolescent anorexia nervosa inpatients and following weight restoration

Nineteen female adolescent inpatients diagnosed with anorexia nervosa, restricting type (AN-R) and 16 non-eating disordered (ED) controls were assessed for plasma dehydroepiandrosterone (DHEA), dehydroepiandrosterone-sulphate (DHEA-S), and cortisol levels, and for eating-related and non-eating-related psychopathology. AN-R patients were assessed at admission, 1 month and 4 months following hospitalization. The non-ED controls were assessed once. No baseline between-group differences were found in plasma cortisol, DHEA, and DHEA-S levels, whereas the patient group had a significantly lower Cortisol/DHEA-S ratio and elevated scores on most psychopathological parameters. A significant increase was found in the body mass index of the AN-R patients at 4 months post-hospitalization, accompanied by a decrease in plasma cortisol levels and a trend towards decreased Cortisol/DHEA and Cortisol/DHEA-S ratios, whereas no change occurred in psychopathology. The difference in Cortisol/DHEA-S ratio between AN-R patients and non-ED controls, and the different patterns of change in cortisol vs. DHEA(-S) levels following weight restoration, may in part account for the feeding difficulties in AN, particularly during refeeding.

Cognitive patterns and progression in multiple sclerosis: construction and validation of percentile curves

BACKGROUND AND OBJECTIVES

Rate and pattern of progression of cognitive decline in multiple sclerosis (MS) has not been clearly identified. The present study aimed to identify correlations between cognitive tests and disease duration, construct longitudinal cognitive curves, and assess pattern of change over time.

METHODS

The Neuropsychological Screening Battery for Multiple Sclerosis was administered in 150 consecutive MS patients, and tests that correlated with disease duration were identified. Percentile curves were constructed and the pattern of cognitive decline over time explored. The cognitive curves were validated in an additional group of 83 patients with MS.

RESULTS

Three of four measures of the spatial recall test (SPART 7/24), and the paced auditory serial addition task for two seconds (PASAT 2'), correlated with disease duration. These tests were used to construct cross-sectional curves identifying the pattern of cognitive decline over time in the MS population. On the basis of this cross-sectional analysis, the earliest cognitive decline occurred in the SPART 7/24 trials 1-5 between one and three years from onset, followed by decline in the SPART delayed recall between three and seven years, and then by decline in the PASAT 2' after seven years from onset.

CONCLUSIONS

Verbal fluency and verbal memory appear to be affected earliest in MS. The pattern of cognitive decline is further characterised by a decrease in visuospatial learning, followed by delayed recall, and then by attention and information processing speed. Cognitive percentile curves can be used to evaluate the pattern of progression and identify patients at increased risk.

Understanding autoimmune mechanisms in multiple sclerosis using gene expression microarrays: treatment effect and cytokine-related pathways

Multiple sclerosis (MS) is a central nervous system disease in which activated autoreactive T-cells invade the blood brain barrier and initiate an inflammatory response that leads to myelin destruction and axonal loss. The etiology of MS, as well as the mechanisms associated with its unexpected onset, the unpredictable clinical course spanning decades, and the different rates of progression leading to disability over time, remains an enigma. We have applied gene expression microarrays technology in peripheral blood mononuclear cells (PBMC) to better understand MS pathogenesis and better target treatment approaches. A signature of 535 genes were found to distinguish immunomodulatory treatment effects between 13 treated and 13 untreated MS patients. In addition, the expression pattern of 1109 gene transcripts that were previously reported to significantly differentiate between MS patients and healthy subjects were further analyzed to study the effect of cytokine-related pathways on disease pathogenesis. When relative gene expression for 26 MS patients was compared to 18 healthy controls, 30 genes related to various cytokine-associated pathways were identified. These genes belong to a variety of families such as interleukins, small inducible cytokine subfamily and tumor necrosis factor ligand and receptor. Further analysis disclosed seven cytokine-associated genes within the immunomodulatory treatment signature, and two cytokine-associated genes SCYA4 (small inducible cytokine A4) and FCAR (Fc fragment of IgA, CD89) that were common to both the MS gene expression signature and the immunomodulatory treatment gene expression signature. Our results indicate that cytokine-associated genes are involved in various pathogenic pathways in MS and also related to immunomodulatory treatment effects.

Chemokine polymorphisms: candidates for MS susceptibility and disease course

As the basic understanding of the autoimmune inflammatory response in MS expands, polymorphic genes involved in this response become candidates for genetic susceptibility or resistance to the disease. Recent advances in the identification of chemokines and their receptors have provided evidence for their consideration as candidate loci in the aetiology of MS. This is due to the key role chemokines play in the physiology of inflammation and regulation of central nervous system trafficking across the blood-brain barrier, and their exploitation by certain micro-organisms to initiate infection.

Autoimmunity gene expression portrait: specific signature that intersects or differentiates between multiple sclerosis and systemic lupus erythematosus

Autoimmune diseases are either tissue-specific like multiple sclerosis (MS) or multisystemic like systemic lupus erythematosus (SLE), although clinically both exhibit common features. To gain insight into the properties of the genes involved in each disease we have investigated the gene expression signature of peripheral blood mononuclear cells (PBMC) in MS and SLE in comparison to healthy subjects. Total RNA was purified, hybridized to Genechip array and analysed in 36 subjects (13 relapsing-remitting MS patients, five SLE patients and 18 age-matched healthy subjects that served as controls). Additional blood samples from 15 relapsing-remitting MS patients, 8 SLE patients and 10 healthy subjects were used for confirmation of microarray gene expression findings by ELISA and RT-PCR. MS and SLE patients demonstrated a common gene expression autoimmune signature of 541 genes which differentiated them from healthy subjects. The autoimmune signature included genes that encode proteins involved in apoptosis, cell cycle, inflammation and regulation of matrix metalloproteinase pathways. Specifically, decreased TIMP1 gene expression in the autoimmunity signature suggests increased MMP activity in target tissues as a result of the lack of feedback mechanism. An additional different disease specific signature identified the gene expression pattern for MS (1031 genes), mainly associated with over-expression of adhesion molecules and down-expression of heat shock proteins; the SLE specific signature (1146 genes) mainly involved DNA damage/repair pathways that result in production of nuclear autoantibodies. These results provide insights into the genetic pathways underlying autoimmune diseases, and identify specific disease-associated signatures that may enable targetted disease-related specific therapies to be developed.

T cell vaccination in multiple sclerosis relapsing-remitting nonresponders patients

Myelin autoreactive T cells are involved in the pathogenesis of multiple sclerosis (MS) and lead to propagation of the disease. We evaluated the efficacy of T cell vaccination (TCV) therapy for patients with aggressive relapsing-remitting MS who failed to respond to immunomodulatory treatments. Twenty nonresponders relapsing-remitting MS patients were immunized with autologous attenuated T cell lines after activation with synthetic myelin basic protein (MBP) and myelin oligodendrocyte glycoprotein (MOG) encephalitogenic peptides. Each patient received three vaccinations in 6- to 8-week intervals. Annual relapse rate decreased from 2.6 to 1.1, P = 0.026. Neurological disability stabilized as compared with the 2- and 1-year pretreatment progression rates. Significant reduction in the number and volume of active lesions, as well as reduction in T2 lesion burden, was demonstrated by quantitative MRI analysis. No serious adverse events were observed. Our findings suggest that TCV has beneficial clinical effects in MS patients who, in spite of immunomodulatory treatments, continue to deteriorate. TCV could serve as a potential alternative therapy for this subgroup of nonresponders patients.