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Using two microarray platforms, we identify HLA-DRB5 as the most highly expressed gene in MS compared to healthy subjects. As expected, HLA-DRB5 expression was associated with the HLA-DRB1*1501 MS susceptibility allele. Besides HLA-DRB5, there were 1219 differentially expressed exons (p<0.01, |fold change (FC)|>1.2) that differed between HLA-DRB1*1501 Positive multiple sclerosis subjects (MSP) compared to HLA-DRB1*1501 negative multiple sclerosis subjects (MSN). Analysis of the regulated genes revealed significantly different immune signaling pathways including IL-4 and IL-17 in these two MS genotypes. Different risk alleles appear to be associated with different patterns of gene expression that may reflect differences in pathophysiology of these two MS subtypes. These preliminary data will need to be confirmed in future studies., (Published by Elsevier B.V.)

Purpose: This study aims: (1) to identify patients with multiple sclerosis (MS) who are at high risk for obstructive sleep apnea (OSA) by utilizing the STOP-BANG questionnaire and (2) to evaluate the relationship between OSA risk as determined by the STOP-BANG questionnaire and self-reported sleepiness and fatigue using the Epworth Sleepiness Scale (ESS) and the Fatigue Severity Scale (FSS), respectively., Methods: A total of 120 consecutive patients presenting to the UC Davis Neurology MS Clinic were invited to participate in an anonymous survey. The exclusion criteria were: age <18 years, indefinite MS diagnosis, or incomplete survey., Results: There were 103 subjects included in our study: 42% of subjects (n = 43) met the criteria for high-risk OSA, 69% of subjects (n = 71) screened high for fatigue (FSS ≥ 4), but only 24 subjects (23%) screened high for excessive daytime sleepiness (ESS > 10). In males, 44% of the variation in ESS scores and 63% in FSS scores were explained by the STOP-BANG components. However, only 17% of the variation in ESS scores and 15% of the variation in FSS scores was explained by the STOP-BANG components in females., Conclusions: Over 40% of MS patients were identified as high risk for OSA based on the STOP-BANG questionnaire. The STOP-BANG questionnaire offers clinicians an efficient and objective tool for improving detection of OSA risk in MS patients.

Using whole genome exon microarrays 120 exons were differentially expressed between medication-free multiple sclerosis (MS) subjects in remission and healthy control subjects (HS) (p<0.001, fold change>|1.2|). These exons differentiated MS from HS using cluster analyses, principal components analyses (PCAs) and cross-validation. In addition, 340 genes (transcripts) were predicted to be alternatively spliced in MS compared to HS. These findings may provide insight into the pathophysiology of MS and potentially provide prognostic and diagnostic biomarkers. However, given that multiple comparisons were performed on a very small sample, these preliminary findings require confirmation using a much larger independent cohort., (Copyright © 2010 Elsevier B.V. All rights reserved.)

Multiple sclerosis (MS) is an immune-mediated disorder causing inflammation and demyelination in the central nervous system. As the onset of multiple sclerosis is at a young age, it is one of the leading neurological causes of disability. Disease activity and disability can be measured by neurological assessments and by magnetic resonance imaging. The development of standardized assessments has been a very important step in clinical research in MS. Clinical research in MS has led to a better understanding of the disease itself and has resulted in exciting new therapies. The protocols provided in this unit are four basic clinical and neuroimaging assessments commonly used as outcome measures in clinical research studies of MS subjects. These step-by-step instructions may be used by researchers and neurologists in clinical practice to obtain objective measures of MS disease progression and response to treatments., (© 2011 by John Wiley & Sons, Inc.)