Serum elements and oxidative status in clinically isolated syndromes: imbalance and predictivity.

BACKGROUND: Metals are suspected of being involved in the pathogenesis of various neurologic diseases. We previously found a complex imbalance in serum chemical elements and oxidative status in patients with clinically definite multiple sclerosis (CDMS). OBJECTIVE: To understand whether this imbalance affects people with clinically isolated syndrome (CIS) and, if so, whether it predicts conversion to CDMS. METHODS: We studied 22 chemical elements and the oxidative status in 49 patients with CIS, 49 patients with CDMS, and 49 healthy donors (HD). Univariate and multivariate approaches were used to identify profiles for each group. A logistic regression analysis was used to identify the predictive potential of baseline data (elements, oxidative status, and MRI findings) for conversion to CDMS over 36 months. RESULTS: Several elements and oxidative status values differed significantly among the 3 groups. Discriminant analysis revealed a major contribution of Ca, Fe, Sn, Zn, serum antioxidant capacity, and serum oxidative status, which resulted in distinct profiles (the prediction of group membership was 96% [cross-validated 92%] for HD, 92% [cross-validated 92%] for CDMS, and 90% [cross-validated 86%] for CIS). A weighted combination of element concentrations and oxidative status values, adjusting for all other predictors, would predict a reduction in the risk of conversion to CDMS within 3 years (odds ratio 0.37; 95% confidence interval 0.18-0.76; p = 0.007), thereby proving more effective than MRI at baseline. CONCLUSIONS: The peculiar imbalance in serum elements and oxidative status that characterizes patients with CIS and may predict conversion to CDMS warrants studies on larger sample sizes.

Alexithymia in multiple sclerosis: relationship with fatigue and depression.

OBJECTIVE: The aim of this study was to investigate the prevalence of alexithymia in a sample of patients with multiple sclerosis (MS) and to further evaluate the association between alexithymia and the occurrence of common disabling MS-related symptoms such as fatigue and depression. METHODS: Fifty-eight relapsing-remitting MS patients treated with interferon (IFN)-beta-1a underwent a complete neurological evaluation, including Expanded Disability Status Scale score assessment. Alexithymia, depressive symptoms and fatigue were assessed using the 20-item Toronto Alexithymia Scale, Beck Depression Inventory and Fatigue Severity Scale. RESULTS: Prevalence of alexithymia was 13.8%, with 27.6% of patients presenting borderline alexithymia. Sixty-seven per cent of the patients complained of fatigue while 29.3% of them were depressed. Higher levels of fatigue and depression were found in alexithymic patients when compared with non-alexithymic patients. Results from logistic regressions showed that alexithymia significantly contributes to the severity of fatigue and depression. CONCLUSIONS: Alexithymia was associated with increased severity of fatigue and depression.

Anti-myelin antibodies predict the clinical outcome after a first episode suggestive of MS.

The aim of this study was to test the contribution of anti-myelin antibodies in predicting conversion from clinically isolated syndrome (CIS) to multiple sclerosis (MS) when considering either Poser's or McDonald's diagnostic criteria. Fifty-one patients with CIS and abnormal brain MRI were imaged monthly for six months and then at 12, 18, 24, 36 months. At baseline serum samples testing antibodies against myelin oligodendrocyte glycoprotein (anti-MOG) and myelin basic protein (anti-MBP) were collected. During the 36-month follow-up, 26 (51%) patients developed a relapse thus becoming clinically definite MS (CDMS) according to Poser's criteria; 46 (90.2%) patients converted to MS according to McDonald's criteria. Out of 51 patients, 28 (54.9%) had either double or single positivity for anti-myelin antibodies. Antibody status significantly predicted MS according to Poser's criteria (P=0.004), but did not according to the McDonald's criteria. When compared to antibody negative patients, the risk of developing a relapse was 8.9 (95% CI: 2.7-29.8; P<0.001) for anti-MBP positive (anti-MBP+) patients and 1.5 (95% CI: 0.4-5.4; P=0.564) for those anti-MOG positive (anti-MOG+); double positive patients (ie, anti-MBP+/anti-MOG+) had a risk of relapse's occurrence equal to 3.4 (95% CI: 1.1-10.2; P=0.031). Also, the antibody status predicted the median time span from CIS to CDMS, that was of 36 months in the anti-MOG-/anti-MBP- group, 33 months in the anti-MOG+/anti-MBP- group, 24 months in the anti-MOG+/anti-MBP+ group and 12 months in the anti-MOG-/anti-MBP+ patients (P=0.003 by ANOVA). Our data support the prognostic value of anti-myelin antibodies in CIS patients at risk of CDMS, with positive patients showing shorter time interval to relapse occurrence than negative patients.

Monthly brain magnetic resonance imaging scans in patients with clinically isolated syndrome.

We investigated if monthly gadolinium (Gd)-enhanced magnetic resonance imaging (MRI) can assist the clinician in anticipating the diagnosis of multiple sclerosis (MS) in the very first few months following a clinically isolated syndrome (CIS). A consecutive series of CIS patients with > or = 3 T2-weighted (T2W) hyperintense brain MRI lesions suggestive of MS were followed up for the first six consecutive months after enrollment with monthly triple-dose Gd-enhanced brain MRI scan. MRI conversion to MS was defined by the presence of either > or = 1 new Gd-enhancing lesion or > or = 1 new T2W lesions in the subsequent MRI scan. Sixty patients were included. Of them, 30 (50%) had at least one Gd-enhancing lesion on the baseline MRI scan. After three months, MRI conversion to MS was observed in 80% and 62% of patients based on the appearance of > or = 1 new T2 lesion and > or = 1 new Gd-enhancing lesions, respectively. The presence of > or = 1 new T2W lesion was observed in 90% and 82% of patients who had, at baseline, a Gd-positive MRI scan and dissemination in space based on the new McDonald's criteria, respectively The rate of MRI conversion remained almost stable in the last two MRI scans. Our study suggests that the majority of CIS patients with an abnormal baseline scan showed an MRI conversion to MS after three months. The model of six months as the optimal interval for repeating MRI exam is not supported by the present data.

Longitudinal evaluation of depression and anxiety in patients with clinically isolated syndrome at high risk of developing early multiple sclerosis.

We investigated the relationship between emotional changes, brain lesion burden and development of multiple sclerosis (MS). Thirty-seven consecutive patients with clinically isolated syndrome (CIS) were prospectively assessed with the Expanded Disability Status Scale (EDSS), the 21-item Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI) and gadolinium enhanced (Gd+) MRI scans. BDI and STAI were also administered to 36 age-matched controls. Conversion to MS was defined as the occurrence of a clinical relapse. CIS patients were more likely to endorse symptoms of anxiety and depression than controls. Baseline scores for depression and anxiety did not correlate with the total lesion load (i.e., volume of Gd+, T2 and T1 lesions) and the number of Gd+ lesions during the first six months of follow-up. A positive correlation was found between severity of depressive scores and the lesion load in the right temporal region (P = 0.005). After 33+/-6 months of the study entry, patients who had a clinical relapse were more frequently depressed (P = 0.001) than those relapse free. Emotional disturbances are frequently observed in CIS patients and show a tendency towards a normalization in relapse-free patients. The increased rate of depressive symptoms observed in patients who developed MS seems to result from a combination of psychological and organic features. The lesion load in the right temporal region is confirmed as a key area for developing depressive symptoms, even in the early phase of the disease.