Serum lipid profiles are associated with disability and MRI outcomes in multiple sclerosis
© Weinstock-Guttman et al; licensee BioMed Central Ltd. 2011
Received: 24 April 2011
Accepted: 4 October 2011
Published: 4 October 2011
The breakdown of the blood-brain-barrier vascular endothelium is critical for entry of immune cells into the MS brain. Vascular co-morbidities are associated with increased risk of progression. Dyslipidemia, elevated LDL and reduced HDL may increase progression by activating inflammatory processes at the vascular endothelium.
To assess the associations of serum lipid profile variables (triglycerides, high and low density lipoproteins (HDL, LDL) and total cholesterol) with disability and MRI measures in multiple sclerosis (MS).
This study included 492 MS patients (age: 47.1 ± 10.8 years; disease duration: 12.8 ± 10.1 years) with baseline and follow-up Expanded Disability Status Score (EDSS) assessments after a mean period of 2.2 ± 1.0 years. The associations of baseline lipid profile variables with disability changes were assessed. Quantitative MRI findings at baseline were available for 210 patients.
EDSS worsening was associated with higher baseline LDL (p = 0.006) and total cholesterol (p = 0.001, 0.008) levels, with trends for higher triglyceride (p = 0.025); HDL was not associated. A similar pattern was found for MSSS worsening. Higher HDL levels (p < 0.001) were associated with lower contrast-enhancing lesion volume. Higher total cholesterol was associated with a trend for lower brain parenchymal fraction (p = 0.033).
Serum lipid profile has modest effects on disease progression in MS. Worsening disability is associated with higher levels of LDL, total cholesterol and triglycerides. Higher HDL is associated with lower levels of acute inflammatory activity.
Introduction and Background
Multiple sclerosis (MS) is a complex inflammatory, demyelinating and neurodegenerative disease with a heterogeneous pathology and clinical outcomes . The chronic inflammatory processes that characterize MS pathology interfere with immune mechanisms that regulate and confine the inflammatory cascade to prevent irreversible tissue damage .
Cholesterol is an important component of intact myelin. Lipids, especially lipoproteins, are involved in the regulation of neural functions in the central nervous system through local mechanisms that are linked to systemic lipid metabolism [3, 4]. High-density lipoproteins (HDL) and low-density lipoproteins (LDL) play a key role in the transport of cholesterol and lipids in human plasma. Under normal physiological conditions, high concentrations of HDL and LDL are present in CNS as a result of transport across the blood-brain barrier [5, 6]. Apolipoprotein A-I, a major component of plasma HDL, is synthesized within the vascular endothelial cells . HDL has immunomodulatory and anti-oxidant effects on endothelial cells  and it has been shown to inhibit production of the pro-inflammatory cytokines interleukin-1beta and tumor necrosis factor [9, 10]. Apolipoprotein A-1 and paraoxonase are associated with HDL and contribute to its anti-oxidant and anti-inflammatory properties [9, 11, 12].
Dyslipidemia can potentiate inflammatory processes at the vascular endothelium, lead to the induction of adhesion molecules, and the recruitment of monocytes [13–15]. Associations between dyslipidemia and increased inflammation are well established in conditions such atherosclerosis, cardiovascular disease, metabolic syndrome and obesity .
In the context of autoimmune diseases, a strong association between dyslipidemia and cardiovascular disease has emerged in systematic lupus erythematosus  and increased cardiovascular risk and lipid profile changes have been reported in rheumatoid arthritis . HDL and LDL also modulate the function and survival of β-cells in Type 2 diabetes mellitus . Neuromyelitis optica patients were reported to have significantly higher serum cholesterol triglycerides and lower LDL than healthy controls .
However, only limited information is available on the effect of serum triglycerides and cholesterol levels and the roles of HDL and LDL levels on MS disease progression. Increased total cholesterol was associated with increases in the number of contrast-enhancing lesions on brain MRI in clinically isolated syndrome patients following a first clinical demyelinating event . MS patients were found to have a higher occurrence of hypercholesterolemia and paraoxonase-1, the anti-oxidant enzyme associated with HDL, was decreased during relapses . A retrospective analysis of a large dataset of 8,983 patients from the North American Research Committee on Multiple Sclerosis Registry reported that the presence of vascular comorbidities linked to dyslipidemia was associated with an increased risk for disability progression in MS .
The aim of this study therefore was to assess the associations of serum lipid profile variables (serum cholesterol, HDL, LDL and triglycerides) to clinical disability and brain tissue integrity as measured with quantitative magnetic resonance imaging (MRI) metrics in a large cohort of MS patients.
The study was approved by the University at Buffalo Human Subjects Institutional Review Board. The Institutional Review Board approval waived the requirement for informed consent.
Single-center, retrospective, longitudinal study.
The study population included consecutive patients, followed at the Baird MS Center, State University of New York, Buffalo, NY, with clinically definite MS patients according to the McDonald criteria  with available baseline EDSS assessment within ± 6 months of lipid profile testing and a follow-up EDSS assessment ≥ 6 months from the baseline clinical visit. Patients with CIS and neuromyelitis optica were not included.
The collected data included demographic and clinical information, statin use history, height and weight and fasting lipid profile laboratory values: HDL, LDL, triglycerides, total cholesterol and cholesterol to HDL ratio.
The exclusion criteria consisted of: any relapse with corticosteroid treatment at the time or within one month preceding study entry or MRI examination, pre-existing medical conditions known to be associated with brain pathology (e.g., neurodegenerative disorders, cerebrovascular disease, positive history of alcohol abuse, etc.), and insufficient quality of the MRI scan for quantitative analysis .
Quantitative MRI analysis obtained within ± 3 months from the baseline clinical visit (yielding EDSS and fasting cholesterol levels) was available for 210 of 492 patients at baseline. MRI image analysis was conducted at the Buffalo Neuroimaging Analysis Center using approaches previously described [25, 26]. MRI analysts were blinded to lipid profile and clinical status. The standardized acquisition and analysis methods for obtaining contrast-enhancing lesion volume (CE-LV), CE lesion number (CEL number), T2-LV, T1-LV and brain parenchymal fraction (BPF) are detailed in Additional File 1.
SPSS (SPSS Inc., Chicago, IL, version 15.0) statistical program was used for all statistical analyses.
One-way ANOVA followed by post-hoc independent sample t-tests were used to test for differences in means of continuous demographic variables such as age, age of onset, and disease duration. The 2 test was used for analysis of count variables for categorical data and the Fisher exact test was used where appropriate.
The MS Severity Scale (MSSS) was calculated from the EDSS and disease duration values using software downloaded from http://www-gene.cimr.cam.ac.uk/MSgenetics/GAMES/MSSS/Readme.html. The global reference data set provided with the software was used for calculations.
The difference between EDSS at follow-up and EDSS at baseline was analyzed as the dependent variable in regression analysis with gender, disease duration at baseline EDSS, EDSS at baseline, time difference between follow-up and baseline EDSS assessments, statin use and a lipid profile variable of interest (either HDL, LDL, triglycerides, total cholesterol or cholesterol to HDL ratio) as predictor variables. The difference between MSSS at follow-up and MSSS at baseline was analyzed in the same manner as the EDSS; however, the MSSS at baseline was included as a predictor in place of EDSS at baseline and the disease duration was not included as a predictor variable. Similar regression analyses were also conducted in the subset of patients who were not on statins to assess the contributions of lipid profile variables in the absence of statin treatment.
Baseline EDSS was dichotomized into two groups based on EDSS < 4.0 and ≥ 4.0. The baseline EDSS groups were analyzed using logistic regression with sex as a factor and disease duration and lipid profile variable of interest.
The CE-LV, T2-LV and T1-LV data were normalized by cube-root transformation to reduce skew. The cube-root-transformed T2-LV and T1-LV values were analyzed as dependent variables using multiple linear regression. The presence/absence of CE lesions (CEL) was analyzed with logistic regression and the CEL number was analyzed with Poisson loglinear regression and the transformed CE-LV values were analyzed with Tweedie regression . All regression MRI analyses included sex, disease duration at time of MRI, statin use, and a lipid profile variable of interest (either HDL, LDL, triglycerides, total cholesterol or cholesterol to HDL ratio) as predictor variables. Regression analyses were also conducted in the subset of patients who were not on statins to assess the contributions of lipid profile variables in the absence of statin treatment.
To correct for the multiple testing involved, a conservative Type I error level of 0.01 was used to assess significance; a trend was assumed if the Type I error level ≤ 0.10.
Demographic and Clinical Characteristics
Demographic and clinical characteristics of the cohort.
Females: Males (% Female)
370: 122 (75.2%)
47.1 ± 10.8
Disease duration*, years
12.8 ± 10.1
Median EDSS* (IQR)
3.79 ± 2.46
Time to follow-up, years
2.2 ± 1.0
Lipid Profile Variables
Body mass index, kg/m2
27.8 ± 6.5
55.2 ± 16.6
116 ± 32.8
Total cholesterol, mg/dL
197 ± 38.1
133 ± 82.0
Cholesterol to HDL ratio
3.85 ± 1.30
0.52 ± 0.15
0.032 ± 0.13
14.0 ± 14.7
3.1 ± 5.4
0.856 ± 0.0285
The median absolute time difference between lipid profile and baseline EDSS assessment was 25 days (Inter-quartile range: 51 days). The median absolute time difference between MRI and lipid profile assessments was 30 days (Inter-quartile range: 46 days). The median time between baseline EDSS and follow-up EDSS was 1.88 years (Inter-quartile range: 1.62 years).
The majority of patients were on disease-modifying therapies: 45% were on interferon-beta-1a monotherapy, 0.8% were on interferon-beta-1b monotherapy, 14% were on glatiramer acetate, 20% were on natalizumab, 8% were on no therapy and the remainder were on combination therapies or chemotherapies.
MRI data were available for 210 patients. There was no evidence for lipid profile differences between the groups with and without MRI available (See Additional File 1, Table S1). The group with MRI differed from the group without MRI in the higher frequency of progressive forms of MS and a modestly shorter time between baseline EDSS and follow up EDSS (See Additional File 1, Table S1).
Demographic, clinical and MRI characteristics, and lipid profiles of patient subsets with and without statins.
Females: Males (% Female)
301: 81 (78.8%)
69: 40 (63.3%)
45.3 ± 10.7
53.4 ± 8.4
Disease duration*, years
11.9 ± 9.7
16.2 ± 11.0
Median EDSS* (IQR)
3.67 ± 2.51
4.15 ± 2.18
Time to follow-up, years
2.13 ± 1.0
2.22 ± 1.0
Body mass index, kg/m2
27.4 ± 6.5
29.1 ± 6.5
55.6 ± 16.6
53.7 ± 16.5
115 ± 30.8
118 ± 39.0
Total cholesterol, mg/dL
196 ± 36.0
201 ± 44.7
128 ± 84.0
149 ± 75.5
Cholesterol to HDL ratio
3.81 ± 1.28
4.00 ± 1.40
Presence of CEL
0.60 ± 2.3
0.035 ± 0.15
0.23 ± 0.86
0.019 ± 0.080
13.6 ± 14.7
16.0 ± 14.7
2.7 ± 5.1
4.5 ± 6.3
0.858 ± 0.027
0.848 ± 0.035
The frequency of disease-modifying therapy usage in the group on statin treatment (51% interferon-beta 1a, 7% glatiramer acetate, 20% natalizumab, 9% no current disease-modifying therapy, with the remainder on combination therapies or chemotherapies) was similar to the group not receiving statins (43% interferon-beta 1a, 16% glatiramer acetate, 20% natalizumab, 8% no therapy, with the remainder on combination therapies or chemotherapies). There was no evidence for significant differences in the lipid profile variables among the interferon-beta, glatiramer acetate, natalizumab, combination therapy or chemotherapies and no current disease-modifying therapy groups (one-way ANOVA).
Associations with Disability and Disability Changes
Higher total cholesterol to HDL ratio showed an association trend with baseline MSSS (Slope = 0.161 ± 0.092, Partial correlation coefficient r p = 0.080, p = 0.080) and with higher probability of occurrence of baseline EDSS ≥ 4.0 (p = 0.082, OR = 1.17). There was no evidence for associations for the other lipid profile variables or BMI. In the subset without statin treatment, the probability of occurrence of baseline EDSS ≥ 4.0 exhibited increasing trends with higher total cholesterol (p = 0.040) and cholesterol to HDL ratio (p = 0.017). There was no evidence for an association with HDL. Baseline MSSS trended higher with higher total cholesterol to HDL ratio (Slope = 0.23 ± 0.11, r p = 0.11, p = 0.038).
Lipid profile associations with disability changes.
Slope ± SE
Slope ± SE
0.001 ± 0.003
0.000 ± 0.005
0.000 ± 0.004
-0.003 ± 0.005
0.004 ± 0.002
0.005 ± 0.002
0.003 ± 0.002
0.006 ± 0.003
0.004 ± 0.001
0.005 ± 0.002
0.004 ± 0.002
0.005 ± 0.002
0.001 ± 0.0006
0.002 ± 0.0009
0.002 ± 0.007
0.002 ± 0.001
Cholesterol to HDL ratio
0.083 ± 0.042
0.079 ± 0.062
0.093 ± 0.050
0.12 ± 0.074
These results indicate that LDL, triglyceride and total cholesterol lipid profile variables are associated with disability changes in MS patients.
Associations with MRI
Higher HDL levels were associated with a lower probability for the presence of CEL (p = 0.01) and lower CE-LV (p < 0.001). A qualitatively similar pattern of protective associations for higher HDL was found in the group not receiving statin treatment for the presence of CEL (p = 0.029, a trend) and for CE-LV (p < 0.001).
In contrast, higher triglyceride levels were associated with trends for a higher probability for the presence of CEL (p = 0.038) and with higher CE-LV (p = 0.023). There were similar trends for triglyceride levels with the presence of CEL (p = 0.060) in the group not receiving statins.
There was no evidence for associations between the presence of CEL and LDL (p = 0.80) or total cholesterol (p = 0.44) levels. There was also no evidence for associations between CE-LV with total cholesterol levels (p = 0.20). Greater levels of total cholesterol were associated as a trend with lower CEL number (p = 0.046) in part as a consequence of the HDL associations with CEL number. Lower CE-LV was also associated as a trend with lower levels of cholesterol to HDL ratio (p = 0.025). There was no evidence for associations of LDL with CEL number (p = 0.44) or CE-LV (p = 0.89) in patients not on statins.
There were no significant associations of T2-LV and T1-LV with any of the lipid profile variables (HDL, LDL, Triglycerides, total cholesterol and cholesterol to HDL ratio) or BMI. However, lower BPF values were associated with high total cholesterol levels (r p = -0.16, p = 0.033). There was also a trend toward an association between lower BPF values with higher total cholesterol in the sub-group that was not on statin treatment (r p = -0.16, p = 0.054).
In this paper, we have reported results indicating that lipid profile variables such as increased LDL, triglycerides and total cholesterol levels are associated with increased disability progression in MS. Higher HDL levels and lower levels of triglycerides were associated with decreased CEL activity whereas higher total cholesterol levels were associated with lower BPF.
The recruitment and extravasation of immune cells across the activated vascular endothelium of the blood brain is considered to a critical step in MS pathogenesis . MS is also associated with significant amounts of cerebral vascular endothelial dysfunction [28, 29] and with cerebral hypoperfusion [30, 31]. Our working hypothesis is that the pro-inflammatory and thrombogenic processes associated with dyslipidemia could plausibly contribute to disease progression in MS via diverse mechanisms at the blood brain barrier vascular endothelium, e.g., by enhancing leukocyte recruitment, increasing endothelial dysfunction and by increasing the risk of hypoperfusion.
The effects size contributions of individual lipid profile variables to disability change were modest but significant: the partial correlation coefficient r p values were in the 0.10 - 0.15 range. We found greater EDSS worsening in patients with higher cholesterol (p = 0.001) and LDL (p = 0.006) levels at baseline. Similar associations were seen for MSSS, a disability measure with better metric properties that corrects the EDSS for disease duration. Nonetheless, our results provide mechanistic support, albeit indirect to the epidemiological findings of Marrie et al. who found that vascular comorbidities are associated with a substantially increased risk of disability progression in MS . Long-term adherence to a low saturated fat diet has been implicated in better clinical outcomes in MS . Although the MS cases in the Nurse Health Study cohort did not indicate associations between diet and the risk of developing MS, an association between obesity during adolescence has been reported .
The primary limitations of our study stem from its retrospective study design. Another caveat is the inclusion of statin-treated patients (22.2% of sample). Because hypercholesterolemia occurs with greater frequency in older male patients, the inclusion of the statin-treated sub-group introduces demographic heterogeneity. We did not find evidence for differences in overall lipid profiles in the statin-treated subset but the group on statin treatment was more frequently male, had greater mean age, disease duration, BMI, baseline EDSS scores and also a somewhat higher proportion of progressive MS, all of which would also be expected in an older and male MS patient group. This cluster of demographic characteristics is generally representative of statin treated patients in the population. All of our statistical analyses were corrected for age and sex to address demographic differences. In addition to their direct effects on cholesterol production, statins exhibit pleiotropic immunomodulatory effects in vitro  and in chronic and relapsing experimental autoimmune encephalomyelitis, an animal model of MS . Cholesterol is a major component of myelin and statins may hinder remyelination by inhibiting cholesterol synthesis in the brain [36, 37]. The studies of statin treatment in MS have likewise also yielded mixed results [38–42]. Therefore, to further address limitations imposed by the pleiotropic effects of statins and the representative demographic differences, we conducted sub-analyses in patients who were not on statin therapy. Our statin treated group did show a lower CEL number and CE-LV, with a higher T1-LV and a trend toward decreased BPF compared to the non-statin group. We avoided comparing the groups with and without statin treatment in results because this study was not designed to address the specific role if any of statins in MS therapeutics.
In a study of 30 MS patients, statin treatment resulted in a significant decrease in the number and volume of CEL on serial monthly MRI . A post hoc analysis of the interferon-beta treated control arm of the SENTINEL study did not indicate an effect of statins on adjusted annualized relapse rate, disability progression, number of CEL, or number of new or enlarging T2-hyperintense lesions over 2 years . The STAYCIS trial to assess statin treatment in slowing the conversion of CIS did not meet its primary endpoint . The SIMCOMBIN trial indicated that statin treatment did not provide benefit in MS patients on interferon-beta .
Our data suggest a negative influence of high cholesterol and triglycerides on disease course and a favorable influence of higher HDL levels on acute inflammatory activity in MS patients. Lifestyle changes including adoption of a healthier diet and regular exercise in order to improve the serum lipid profile may be beneficial for MS patients to improve their neurological condition.
Support from the National Multiple Sclerosis Society (RG3743 and a Pediatric MS Center of Excellence Center Grant) and the Department of Defense Multiple Sclerosis Program (MS090122) is gratefully acknowledged.
The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.
- Frohman EM, Racke MK, Raine CS: Multiple sclerosis--the plaque and its pathogenesis. N Engl J Med. 2006, 354: 942-955. 10.1056/NEJMra052130.View ArticlePubMedGoogle Scholar
- Lucchinetti CF, Bruck W, Lassmann H: Evidence for pathogenic heterogeneity in multiple sclerosis. Ann Neurol. 2004, 56: 308-10.1002/ana.20182.View ArticlePubMedGoogle Scholar
- Gotthardt M, Trommsdorff M, Nevitt MF, Shelton J, Richardson JA, Stockinger W, Nimpf J, Herz J: Interactions of the low density lipoprotein receptor gene family with cytosolic adaptor and scaffold proteins suggest diverse biological functions in cellular communication and signal transduction. J Biol Chem. 2000, 275: 25616-25624. 10.1074/jbc.M000955200.View ArticlePubMedGoogle Scholar
- Stockinger W, Brandes C, Fasching D, Hermann M, Gotthardt M, Herz J, Schneider WJ, Nimpf J: The reelin receptor ApoER2 recruits JNK-interacting proteins-1 and -2. J Biol Chem. 2000, 275: 25625-25632. 10.1074/jbc.M004119200.View ArticlePubMedGoogle Scholar
- Roheim PS, Carey M, Forte T, Vega GL: Apolipoproteins in human cerebrospinal fluid. Proc Natl Acad Sci USA. 1979, 76: 4646-4649. 10.1073/pnas.76.9.4646.PubMed CentralView ArticlePubMedGoogle Scholar
- Borghini I, Barja F, Pometta D, James RW: Characterization of subpopulations of lipoprotein particles isolated from human cerebrospinal fluid. Biochim Biophys Acta. 1995, 1255: 192-200.View ArticlePubMedGoogle Scholar
- Mockel B, Zinke H, Flach R, Weiss B, Weiler-Guttler H, Gassen HG: Expression of apolipoprotein A-I in porcine brain endothelium in vitro. J Neurochem. 1994, 62: 788-798.View ArticlePubMedGoogle Scholar
- Assmann G, Gotto AM: HDL cholesterol and protective factors in atherosclerosis. Circulation. 2004, 109: III8-14.View ArticlePubMedGoogle Scholar
- Burger D, Dayer JM: High-density lipoprotein-associated apolipoprotein A-I: the missing link between infection and chronic inflammation?. Autoimmun Rev. 2002, 1: 111-117. 10.1016/S1568-9972(01)00018-0.View ArticlePubMedGoogle Scholar
- Scanu A, Molnarfi N, Brandt KJ, Gruaz L, Dayer JM, Burger D: Stimulated T cells generate microparticles, which mimic cellular contact activation of human monocytes: differential regulation of pro- and anti-inflammatory cytokine production by high-density lipoproteins. J Leukoc Biol. 2008, 83: 921-927. 10.1189/jlb.0807551.View ArticlePubMedGoogle Scholar
- Ferretti G, Bacchetti T, Principi F, Di Ludovico F, Viti B, Angeleri VA, Danni M, Provinciali L: Increased levels of lipid hydroperoxides in plasma of patients with multiple sclerosis: a relationship with paraoxonase activity. Mult Scler. 2005, 11: 677-682. 10.1191/1352458505ms1240oa.View ArticlePubMedGoogle Scholar
- Jamroz-Wisniewska A, Beltowski J, Stelmasiak Z, Bartosik-Psujek H: Paraoxonase 1 activity in different types of multiple sclerosis. Mult Scler. 2009, 15: 399-402. 10.1177/1352458508098371.View ArticlePubMedGoogle Scholar
- Cybulsky MI, Gimbrone MA: Endothelial expression of a mononuclear leukocyte adhesion molecule during atherogenesis. Science. 1991, 251: 788-791. 10.1126/science.1990440.View ArticlePubMedGoogle Scholar
- Sitia S, Tomasoni L, Atzeni F, Ambrosio G, Cordiano C, Catapano A, Tramontana S, Perticone F, Naccarato P, Camici P, et al: From endothelial dysfunction to atherosclerosis. Autoimmun Rev. 2010, 9: 830-834. 10.1016/j.autrev.2010.07.016.View ArticlePubMedGoogle Scholar
- Stokes KY, Calahan L, Hamric CM, Russell JM, Granger DN: CD40/CD40L contributes to hypercholesterolemia-induced microvascular inflammation. Am J Physiol Heart Circ Physiol. 2009, 296: H689-697. 10.1152/ajpheart.00962.2008.PubMed CentralView ArticlePubMedGoogle Scholar
- Esteve E, Ricart W, Fernandez-Real JM: Dyslipidemia and inflammation: an evolutionary conserved mechanism. Clin Nutr. 2005, 24: 16-31. 10.1016/j.clnu.2004.08.004.View ArticlePubMedGoogle Scholar
- Torres A, Askari AD, Malemud CJ: Cardiovascular disease complications in systemic lupus erythematosus. Biomark Med. 2009, 3: 239-252. 10.2217/bmm.09.14.View ArticlePubMedGoogle Scholar
- Boyer JF, Gourraud PA, Cantagrel A, Davignon JL, Constantin A: Traditional cardiovascular risk factors in rheumatoid arthritis: A meta-analysis. Joint Bone Spine. 2010Google Scholar
- von Eckardstein A, Sibler RA: Possible contributions of lipoproteins and cholesterol to the pathogenesis of diabetes mellitus type 2. Curr Opin Lipidol. 2010Google Scholar
- Li Y, Wang H, Hu X, Peng F, Yang Y: Serum lipoprotein levels in patients with neuromyelitis optica elevated but had little correlation with clinical presentations. Clin Neurol Neurosurg. 2010, 112: 478-481. 10.1016/j.clineuro.2010.03.017.View ArticlePubMedGoogle Scholar
- Giubilei F, Antonini G, Di Legge S, Sormani MP, Pantano P, Antonini R, Sepe-Monti M, Caramia F, Pozzilli C: Blood cholesterol and MRI activity in first clinical episode suggestive of multiple sclerosis. Acta Neurol Scand. 2002, 106: 109-112.View ArticlePubMedGoogle Scholar
- Marrie RA, Rudick R, Horwitz R, Cutter G, Tyry T, Campagnolo D, Vollmer T: Vascular comorbidity is associated with more rapid disability progression in multiple sclerosis. Neurology. 2010, 74: 1041-1047. 10.1212/WNL.0b013e3181d6b125.PubMed CentralView ArticlePubMedGoogle Scholar
- McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD, McFarland HF, Paty DW, Polman CH, Reingold SC, et al: Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol. 2001, 50: 121-127. 10.1002/ana.1032.View ArticlePubMedGoogle Scholar
- Zivadinov R, Reder AT, Filippi M, Minagar A, Stuve O, Lassmann H, Racke MK, Dwyer MG, Frohman EM, Khan O: Mechanisms of action of disease-modifying agents and brain volume changes in multiple sclerosis. Neurology. 2008, 71: 136-144. 10.1212/01.wnl.0000316810.01120.05.View ArticlePubMedGoogle Scholar
- Zivadinov R, Weinstock-Guttman B, Zorzon M, Uxa L, Serafin M, Bosco A, Bratina A, Maggiore C, Grop A, Tommasi MA, et al: Gene-environment interactions between HLA B7/A2, EBV antibodies are associated with MRI injury in multiple sclerosis. J Neuroimmunol. 2009, 209: 123-130. 10.1016/j.jneuroim.2009.01.023.View ArticlePubMedGoogle Scholar
- Zivadinov R, Weinstock-Guttman B, Hashmi K, Abdelrahman N, Stosic M, Dwyer M, Hussein S, Durfee J, Ramanathan M: Smoking is associated with increased lesion volumes and brain atrophy in multiple sclerosis. Neurology. 2009, 73: 504-510. 10.1212/WNL.0b013e3181b2a706.PubMed CentralView ArticlePubMedGoogle Scholar
- Jorgensen B, Tsao M: Dispersion models and longitudinal data analysis. Stat Med. 1999, 18: 2257-2270. 10.1002/(SICI)1097-0258(19990915/30)18:17/18<2257::AID-SIM253>3.0.CO;2-M.View ArticlePubMedGoogle Scholar
- Alexander JS, Harris MK, Wells SR, Mills G, Chalamidas K, Ganta VC, McGee J, Jennings MH, Gonzalez-Toledo E, Minagar A: Alterations in serum MMP-8, MMP-9, IL-12p40 and IL-23 in multiple sclerosis patients treated with interferon-beta1b. Mult Scler. 2010, 16: 801-809. 10.1177/1352458510370791.View ArticlePubMedGoogle Scholar
- Minagar A, Jy W, Jimenez JJ, Alexander JS: Multiple sclerosis as a vascular disease. Neurol Res. 2006, 28: 230-235. 10.1179/016164106X98080.View ArticlePubMedGoogle Scholar
- Inglese M, Park SJ, Johnson G, Babb JS, Miles L, Jaggi H, Herbert J, Grossman RI: Deep gray matter perfusion in multiple sclerosis: dynamic susceptibility contrast perfusion magnetic resonance imaging at 3 T. Arch Neurol. 2007, 64: 196-202. 10.1001/archneur.64.2.196.View ArticlePubMedGoogle Scholar
- De Keyser J, Steen C, Mostert JP, Koch MW: Hypoperfusion of the cerebral white matter in multiple sclerosis: possible mechanisms and pathophysiological significance. J Cereb Blood Flow Metab. 2008, 28: 1645-1651. 10.1038/jcbfm.2008.72.View ArticlePubMedGoogle Scholar
- Swank RL, Dugan BB: Effect of low saturated fat diet in early and late cases of multiple sclerosis. Lancet. 1990, 336: 37-39. 10.1016/0140-6736(90)91533-G.View ArticlePubMedGoogle Scholar
- Zhang SM, Willett WC, Hernan MA, Olek MJ, Ascherio A: Dietary fat in relation to risk of multiple sclerosis among two large cohorts of women. Am J Epidemiol. 2000, 152: 1056-1064. 10.1093/aje/152.11.1056.View ArticlePubMedGoogle Scholar
- Willey JZ, Elkind MS: 3-Hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors in the treatment of central nervous system diseases. Arch Neurol. 2010, 67: 1062-1067. 10.1001/archneurol.2010.199.PubMed CentralPubMedGoogle Scholar
- Youssef S, Stuve O, Patarroyo JC, Ruiz PJ, Radosevich JL, Hur EM, Bravo M, Mitchell DJ, Sobel RA, Steinman L, Zamvil SS: The HMG-CoA reductase inhibitor, atorvastatin, promotes a Th2 bias and reverses paralysis in central nervous system autoimmune disease. Nature. 2002, 420: 78-84. 10.1038/nature01158.View ArticlePubMedGoogle Scholar
- Maier O, De Jonge J, Nomden A, Hoekstra D, Baron W: Lovastatin induces the formation of abnormal myelin-like membrane sheets in primary oligodendrocytes. Glia. 2009, 57: 402-413. 10.1002/glia.20769.View ArticlePubMedGoogle Scholar
- Klopfleisch S, Merkler D, Schmitz M, Kloppner S, Schedensack M, Jeserich G, Althaus HH, Bruck W: Negative impact of statins on oligodendrocytes and myelin formation in vitro and in vivo. J Neurosci. 2008, 28: 13609-13614. 10.1523/JNEUROSCI.2765-08.2008.View ArticlePubMedGoogle Scholar
- Sellner J, Weber MS, Vollmar P, Mattle HP, Hemmer B, Stuve O: The Combination of Interferon-Beta and HMG-CoA Reductase Inhibition in Multiple Sclerosis: Enthusiasm Lost too Soon?. CNS Neurosci Ther. 2010Google Scholar
- Vollmer T, Key L, Durkalski V, Tyor W, Corboy J, Markovic-Plese S, Preiningerova J, Rizzo M, Singh I: Oral simvastatin treatment in relapsing-remitting multiple sclerosis. Lancet. 2004, 363: 1607-1608. 10.1016/S0140-6736(04)16205-3.View ArticlePubMedGoogle Scholar
- Rudick RA, Pace A, Rani MR, Hyde R, Panzara M, Appachi S, Shrock J, Maurer SL, Calabresi PA, Confavreux C, et al: Effect of statins on clinical and molecular responses to intramuscular interferon beta-1a. Neurology. 2009, 72: 1989-1993. 10.1212/WNL.0b013e3181a92b96.PubMed CentralView ArticlePubMedGoogle Scholar
- Waubant E, Pelletier D, Mass M, Cohen J, Kita M, Cross A, Bar-Or A, Vollmer T, Racke MK, Stüve O, et al: Atorvastatin therapy in patients with Clinically Isolated Syndrome (CIS): the STAyCIS study. 134th Annual Meeting, American Neurological Assocation; Baltimore, MD. 2010Google Scholar
- Markovic-Plese S, Jewells V, Speer D: Combining beta interferon and atorvastatin may increase disease activity in multiple sclerosis. Neurology. 2009, 72: 1965-1966. 10.1212/01.wnl.0000349667.27301.c8. 1965; author replyView ArticlePubMedGoogle Scholar
- Sorensen PS, Lycke J, Eralinna JP, Edland A, Wu X, Frederiksen JL, Oturai A, Malmestrom C, Stenager E, Sellebjerg F, Sondergaard HB: Simvastatin as add-on therapy to interferon beta-1a for relapsing-remitting multiple sclerosis (SIMCOMBIN study): a placebo-controlled randomised phase 4 trial. Lancet Neurol. 2011, 10: 691-701. 10.1016/S1474-4422(11)70144-2.View ArticlePubMedGoogle Scholar
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