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Relapsing-Remitting Multiple Sclerosis diagnosis from cerebrospinal fluids via Fourier transform infrared spectroscopy coupled with multivariate analysis. Sci Rep 2018; 8:1025. [PMID: 29348591 PMCID: PMC5773569 DOI: 10.1038/s41598-018-19303-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 12/27/2017] [Indexed: 11/17/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic, progressive, inflammatory and degenerative disease of central nervous system. Here, we aimed to develop a method for differential diagnosis of Relapsing-Remitting MS (RRMS) and clinically isolated syndrome (CIS) patients, as well as to identify CIS patients who will progress to RRMS, from cerebrospinal fluid (CSF) by infrared (IR) spectroscopy and multivariate analysis. Spectral analyses demonstrated significant differences in the molecular contents, especially in the lipids and Z conformation of DNA of CSF from CIS, CIS to RRMS transformed (TCIS) and RRMS groups. These changes enables the discrimination of diseased groups and controls (individuals with no neurological disease) from each other using hierarchical cluster and principal component analysis. Some CIS samples were consistently clustered in RRMS class, which may indicate that these CIS patients potentially will transform to RRMS over time. Z-DNA band at 795 cm−1 that is existent only in diseased groups and significant increase in carbonyl amount, decrease in amideI/amide II and lipid/protein ratios observed only for RRMS groups can be used as diagnostic biomarkers. The results of the present study shed light on the early diagnosis of RRMS by IR spectroscopy complemented with multivariate analysis tools.
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Twelve Weeks of Medium-Intensity Exercise Therapy Affects the Lipoprotein Profile of Multiple Sclerosis Patients. Int J Mol Sci 2018; 19:ijms19010193. [PMID: 29316715 PMCID: PMC5796142 DOI: 10.3390/ijms19010193] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 12/22/2017] [Accepted: 12/27/2017] [Indexed: 12/22/2022] Open
Abstract
Multiple sclerosis (MS) is an inflammatory auto-immune disease of the central nervous system (CNS). Serum glucose alterations and impaired glucose tolerance (IGT) are reported in MS patients, and are commonly associated with the development of cardio-metabolic co-morbidities. We previously found that a subgroup of MS patients shows alterations in their lipoprotein profile that are similar to a pre-cardiovascular risk profile. In addition, we showed that a high-intensity exercise training has a positive effect on IGT in MS patients. In this study, we hypothesize that exercise training positively influences the lipoprotein profile of MS patients. To this end, we performed a pilot study and determined the lipoprotein profile before (controls, n = 40; MS patients, n = 41) and after (n = 41 MS only) 12 weeks of medium-intensity continuous training (MIT, n = 21, ~60% of VO2max) or high-intensity interval training (HIT, n = 20, ~100-200% of VO2max) using nuclear magnetic resonance spectroscopy (NMR). Twelve weeks of MIT reduced intermediate-density lipoprotein particle count ((nmol/L); -43.4%; p < 0.01), low-density lipoprotein cholesterol (LDL-c (mg/dL); -7.6%; p < 0.05) and VLDL size ((nm); -6.6%; p < 0.05), whereas HIT did not influence the lipoprotein profile. These results show that MIT partially normalizes lipoprotein alterations in MS patients. Future studies including larger patient and control groups should determine whether MIT can reverse other lipoprotein levels and function and if these alterations are related to MS disease progression and the development of co-morbidities.
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Azary S, Schreiner T, Graves J, Waldman A, Belman A, Guttman BW, Aaen G, Tillema JM, Mar S, Hart J, Ness J, Harris Y, Krupp L, Gorman M, Benson L, Rodriguez M, Chitnis T, Rose J, Barcellos LF, Lotze T, Carmichael SL, Roalstad S, Casper CT, Waubant E. Contribution of dietary intake to relapse rate in early paediatric multiple sclerosis. J Neurol Neurosurg Psychiatry 2018; 89:28-33. [PMID: 28993476 PMCID: PMC5732893 DOI: 10.1136/jnnp-2017-315936] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Revised: 08/09/2017] [Accepted: 08/09/2017] [Indexed: 12/23/2022]
Abstract
OBJECTIVE The role of diet in multiple sclerosis (MS) course remains largely unknown. Children with MS have a higher relapse rate compared with MS in adults. Thus, studying the effect of diet on relapse rate in this age group is likely to provide more robust answers. METHODS This is a multicentre study done at 11 paediatric MS centres in the USA. Patients with relapsing-remitting MS (RRMS) or clinically isolated syndrome (CIS) with disease onset before 18 years of age and duration of less than 4 years were included in this study. Dietary intake during the week before enrolment was assessed with the validated Block Kids Food Screener. The outcome of the study was time from enrolment to the next relapse. 219 patients with paediatric RRMS or CIS were enrolled. Each 10% increase in energy intake from fat increased the hazard of relapse by 56% (adjusted HR 1.56, 95% CI 1.05 to 2.31, p=0.027), and in particular each 10% increase in saturated fat tripled this hazard (adjusted HR: 3.37, 95% CI 1.34 to 8.43, p=0.009). In contrast, each additional one cup equivalent of vegetable decreased the hazard of relapse by 50% (adjusted HR: 0.50, 95% CI 0.27 to 0.91, p=0.024). These associations remained with mutual adjustment and persisted when adjusting for baseline 25(OH) vitamin D serum level. Other studied nutrients were not associated with relapse. CONCLUSIONS This study suggests that in children with MS, high energy intake from fat, especially saturated fat, may increase the hazard to relapse, while vegetable intake may be independently protective.
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Affiliation(s)
- Saeedeh Azary
- Department of Neurology, UCSF Regional Pediatric MS Center, San Francisco, California, USA
| | - Teri Schreiner
- Department of Neurology, University of Colorado, Aurora, Colorado, USA
| | - Jennifer Graves
- Department of Neurology, UCSF Regional Pediatric MS Center, San Francisco, California, USA
| | - Amy Waldman
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Anita Belman
- Department of Neurology, SUNY Stony Brook, Stony Brook, New York, USA
| | - Bianca Weinstock Guttman
- Department of Neurology, The Pediatric MS Center at the Jacobs Neurological Institute, SUNY, Buffalo, New York, USA
| | - Gregory Aaen
- Department of Child Neurology, Loma Linda University, Loma Linda, California, USA
| | | | - Soe Mar
- Division of Pediatric Neurology, Washington University, St. Louis, Missouri, USA
| | - Janace Hart
- Department of Neurology, UCSF Regional Pediatric MS Center, San Francisco, California, USA
| | - Jayne Ness
- Department of Neurology, Alabama Pediatric MS Center, Birmingham, Alabama, USA
| | - Yolanda Harris
- Department of Neurology, Alabama Pediatric MS Center, Birmingham, Alabama, USA
| | - Lauren Krupp
- Department of Neurology, New York University, New York City, New York, USA
| | - Mark Gorman
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Leslie Benson
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Moses Rodriguez
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Tanuja Chitnis
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - John Rose
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Lisa F Barcellos
- Division of Epidemiology, UC Berkeley, Berkeley, California, USA
| | - Tim Lotze
- Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Suzan L Carmichael
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Shelly Roalstad
- Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Charles T Casper
- Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Emmanuelle Waubant
- Department of Neurology, UCSF Regional Pediatric MS Center, San Francisco, California, USA
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Bezine M, Debbabi M, Nury T, Ben-Khalifa R, Samadi M, Cherkaoui-Malki M, Vejux A, Raas Q, de Sèze J, Moreau T, El-Ayeb M, Lizard G. Evidence of K+ homeostasis disruption in cellular dysfunction triggered by 7-ketocholesterol, 24S-hydroxycholesterol, and tetracosanoic acid (C24:0) in 158N murine oligodendrocytes. Chem Phys Lipids 2017; 207:135-150. [DOI: 10.1016/j.chemphyslip.2017.03.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 03/06/2017] [Accepted: 03/07/2017] [Indexed: 12/12/2022]
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Houdebine L, Gallelli CA, Rastelli M, Sampathkumar NK, Grenier J. Effect of physical exercise on brain and lipid metabolism in mouse models of multiple sclerosis. Chem Phys Lipids 2017; 207:127-134. [PMID: 28606714 DOI: 10.1016/j.chemphyslip.2017.06.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Revised: 06/06/2017] [Accepted: 06/07/2017] [Indexed: 12/11/2022]
Abstract
Multiple sclerosis (MS) is a central nervous demyelinating disease characterized by cyclic loss and repair of myelin sheaths associated with chronic inflammation and neuronal loss. This degenerative pathology is accompanied by modified levels of oxysterols (oxidative derivatives of cholesterol, implicated in cholesterol metabolism), highlighted in the brain, blood and cerebrospinal fluid of MS patients. The pathological accumulation of such derivatives is thought to participate in the onset and progression of the disease through their implication in inflammation, oxidative stress, demyelination and neurodegeneration. In this context, physical exercise is envisaged as a complementary resource to ameliorate therapeutic strategies. Indeed, physical activity exerts beneficial effects on neuronal plasticity, decreases inflammation and oxidative stress and improves blood-brain integrity in extents that could be beneficial for brain health. The present review attempts to summarize the available data on the positive effect of physical exercise to highlight possible links between physical activity and modulation of cholesterol/oxysterol homeostasis in MS.
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Affiliation(s)
- Léo Houdebine
- Paris Descartes University, INSERM UMRS 1124, France
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Machine-Learned Data Structures of Lipid Marker Serum Concentrations in Multiple Sclerosis Patients Differ from Those in Healthy Subjects. Int J Mol Sci 2017; 18:ijms18061217. [PMID: 28590455 PMCID: PMC5486040 DOI: 10.3390/ijms18061217] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 05/30/2017] [Accepted: 05/31/2017] [Indexed: 02/01/2023] Open
Abstract
Lipid signaling has been suggested to be a major pathophysiological mechanism of multiple sclerosis (MS). With the increasing knowledge about lipid signaling, acquired data become increasingly complex making bioinformatics necessary in lipid research. We used unsupervised machine-learning to analyze lipid marker serum concentrations, pursuing the hypothesis that for the most relevant markers the emerging data structures will coincide with the diagnosis of MS. Machine learning was implemented as emergent self-organizing feature maps (ESOM) combined with the U*-matrix visualization technique. The data space consisted of serum concentrations of three main classes of lipid markers comprising eicosanoids (d = 11 markers), ceramides (d = 10), and lyosophosphatidic acids (d = 6). They were analyzed in cohorts of MS patients (n = 102) and healthy subjects (n = 301). Clear data structures in the high-dimensional data space were observed in eicosanoid and ceramides serum concentrations whereas no clear structure could be found in lysophosphatidic acid concentrations. With ceramide concentrations, the structures that had emerged from unsupervised machine-learning almost completely overlapped with the known grouping of MS patients versus healthy subjects. This was only partly provided by eicosanoid serum concentrations. Thus, unsupervised machine-learning identified distinct data structures of bioactive lipid serum concentrations. These structures could be superimposed with the known grouping of MS patients versus healthy subjects, which was almost completely possible with ceramides. Therefore, based on the present analysis, ceramides are first-line candidates for further exploration as drug-gable targets or biomarkers in MS.
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Expression profiles of cholesterol metabolism-related genes are altered during development of experimental autoimmune encephalomyelitis in the rat spinal cord. Sci Rep 2017; 7:2702. [PMID: 28578430 PMCID: PMC5457442 DOI: 10.1038/s41598-017-02638-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 04/12/2017] [Indexed: 12/04/2022] Open
Abstract
Increased evidence suggests that dysregulation of cholesterol metabolism may be a key event contributing to progression of multiple sclerosis (MS). Using an experimental autoimmune encephalomyelitis (EAE) model of MS we revealed specific changes in the mRNA and protein expression of key molecules involved in the maintaining of cholesterol homeostasis in the rat spinal cord: 3-hydroxy-3-methylglutaryl-coenzyme-A reductase (HMGCR), apolipoprotein E (ApoE) and cholesterol 24-hydroxylase (CYP46A1) during the course of disease. The presence of myelin lipid debris was seen only at the peak of EAE in demyelination loci being efficiently removed during the recovery period. Since CYP46A1 is responsible for removal of cholesterol excess, we performed a detailed profiling of CYP46A1 expression and revealed regional and temporal specificities in its distribution. Double immunofluorescence staining demonstrated CYP46A1 localization with neurons, infiltrated macrophages, microglia and astrocytes in the areas of demyelination, suggesting that these cells play a role in cholesterol turnover in EAE. We propose that alterations in the regulation of cholesterol metabolism at the onset and peak of EAE may add to the progression of disease, while during the recovery period may have beneficial effects contributing to the regeneration of myelin sheath and restoration of neuronal function.
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Common genetic etiology between “multiple sclerosis-like” single-gene disorders and familial multiple sclerosis. Hum Genet 2017; 136:705-714. [DOI: 10.1007/s00439-017-1784-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 03/18/2017] [Indexed: 12/24/2022]
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Mukhopadhyay S, Fellows K, Browne RW, Khare P, Krishnan Radhakrishnan S, Hagemeier J, Weinstock-Guttman B, Zivadinov R, Ramanathan M. Interdependence of oxysterols with cholesterol profiles in multiple sclerosis. Mult Scler 2016; 23:792-801. [PMID: 27589058 DOI: 10.1177/1352458516666187] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE To investigate levels of oxysterols in healthy control (HC) and multiple sclerosis (MS) patients and their interdependence with demographic, clinical characteristics, and cholesterol biomarkers. METHODS This study included 550 subjects (203 HC, 221 relapsing-remitting MS (RR-MS), 126 progressive MS (P-MS)). A complete lipid profile including total cholesterol (TC); high-density lipoprotein-cholesterol (HDL-C); low-density lipoprotein-cholesterol (LDL-C); apolipoproteins (Apo) A1, A2, B, and E; C-reactive protein (CRP); 24-hydroxycholesterol (HC); 25-HC; 27-HC; 7α-HC; and 7-ketocholesterol (KC) was obtained. Lipoprotein particle sizing by proton nuclear magnetic resonance (H1 NMR) was available for 432 subjects. RESULTS The levels of 24-HC, 27-HC, and 7α-HC (all p < 0.015) were lower in MS compared to HC, and 7-KC was higher in P-MS compared to RR-MS ( p < 0.001). TC, LDL-C, and ApoB were associated with higher levels of all oxysterols (all p < 0.05) in HC. In MS, LDL-C was associated with higher levels of 24-HC, 25-HC, 7-KC, and 7α-HC (all p < 0.05), while TC and ApoB were associated with increased levels of all oxysterols (all p < 0.005). CONCLUSION The findings of lower 24-HC, 27-HC, and 7α-HC in MS compared to HC and higher 7-KC in P-MS compared to RR-MS indicate that the oxysterol network is disrupted in MS.
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Affiliation(s)
- Shreya Mukhopadhyay
- Department of Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Kelly Fellows
- Department of Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Richard W Browne
- Department of Biotechnical and Clinical Laboratory Sciences, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Prachi Khare
- Department of Biotechnical and Clinical Laboratory Sciences, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Sandhya Krishnan Radhakrishnan
- Department of Biotechnical and Clinical Laboratory Sciences, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, The State University of New York at Buffalo, Buffalo, NY, USA
| | | | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, The State University of New York at Buffalo, Buffalo, NY, USA/Department of Neurology, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, NY, USA/Buffalo Neuroimaging Analysis Center, Department of Neurology, The State University of New York at Buffalo, Buffalo, NY, USA
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