Metabolomics in multiple sclerosis

被引:47
作者
Bhargava, Pavan [1 ]
Calabresi, Peter A. [1 ]
机构
[1] Johns Hopkins Univ, Sch Med, Dept Neurol, 600 N Wolfe St,Pathol 627, Baltimore, MD 21287 USA
关键词
Metabolomics; multiple sclerosis; mass spectrometry; nuclear magnetic resonance; biomarkers; NUCLEAR-MAGNETIC-RESONANCE; CEREBROSPINAL-FLUID; UPLC-MS; BIOMARKERS; DISEASE; NMR; SPECTROSCOPY; DISCOVERY; URINE; FUSION;
D O I
10.1177/1352458515622827
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Multiple sclerosis (MS) is a chronic demyelinating disorder of the central nervous system with inflammatory and degenerative components. The cause of MS remains unknown although genetic and environmental factors appear to play a role in its etiopathogenesis. Metabolomics is a new omics technology that aims at measuring small molecules in various biological matrices and can provide information that is not readily obtained from genomics, transcriptomics, or proteomics. Currently, several different analytical platforms exist for metabolomics, and both untargeted and targeted approaches are being employed. Methods of analysis of metabolomics data are also being developed and no consensus currently exists on the optimal approach to analysis and interpretation of these data. Metabolomics has the potential to provide putative biomarkers, insights into the pathophysiology of the disease, and to aid in precision medicine for patients with MS.
引用
收藏
页码:451 / 460
页数:10
相关论文
共 43 条
  • [1] Cerebrospinal fluid lactate and glutamine are reduced in multiple sclerosis
    Aasly, J
    Garseth, M
    Sonnewald, U
    Zwart, JA
    White, LR
    Unsgard, G
    [J]. ACTA NEUROLOGICA SCANDINAVICA, 1997, 95 (01): : 9 - 12
  • [2] Adelman Gabriel, 2013, J Med Econ, V16, P639, DOI 10.3111/13696998.2013.778268
  • [3] Analytical methods in untargeted metabolomics: state of the art in 2015
    Alonso, Arnald
    Marsal, Sara
    Julia, Antonio
    [J]. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2015, 3
  • [4] Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
    Beecham, Ashley H.
    Patsopoulos, Nikolaos A.
    Xifara, Dionysia K.
    Davis, Mary F.
    Kemppinen, Anu
    Cotsapas, Chris
    Shah, Tejas S.
    Spencer, Chris
    Booth, David
    Goris, An
    Oturai, Annette
    Saarela, Janna
    Fontaine, Bertrand
    Hemmer, Bernhard
    Martin, Claes
    Zipp, Frauke
    D'Alfonso, Sandra
    Martinelli-Boneschi, Filippo
    Taylor, Bruce
    Harbo, Hanne F.
    Kockum, Ingrid
    Hillert, Jan
    Olsson, Tomas
    Ban, Maria
    Oksenberg, Jorge R.
    Hintzen, Rogier
    Barcellos, Lisa F.
    Agliardi, Cristina
    Alfredsson, Lars
    Alizadeh, Mehdi
    Anderson, Carl
    Andrews, Robert
    Sondergaard, Helle Bach
    Baker, Amie
    Band, Gavin
    Baranzini, Sergio E.
    Barizzone, Nadia
    Barrett, Jeffrey
    Bellenguez, Celine
    Bergamaschi, Laura
    Bernardinelli, Luisa
    Berthele, Achim
    Biberacher, Viola
    Binder, Thomas M. C.
    Blackburn, Hannah
    Bomfim, Izaura L.
    Brambilla, Paola
    Broadley, Simon
    Brochet, Bruno
    Brundin, Lou
    [J]. NATURE GENETICS, 2013, 45 (11) : 1353 - +
  • [5] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING
    BENJAMINI, Y
    HOCHBERG, Y
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) : 289 - 300
  • [6] Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis
    Blanchet, Lionel
    Smolinska, Agnieszka
    Attali, Amos
    Stoop, Marcel P.
    Ampt, Kirsten A. M.
    van Aken, Hans
    Suidgeest, Ernst
    Tuinstra, Tinka
    Wijmenga, Sybren S.
    Luider, Theo
    Buydens, Lutgarde M. C.
    [J]. BMC BIOINFORMATICS, 2011, 12
  • [7] Metabolic characterization of triple negative breast cancer
    Cao, Maria D.
    Lamichhane, Santosh
    Lundgren, Steinar
    Bofin, Anna
    Fjosne, Hans
    Giskeodegard, Guro F.
    Bathen, Tone F.
    [J]. BMC CANCER, 2014, 14
  • [8] Multiple sclerosis
    Compston, Alastair
    Coles, Alasdair
    [J]. LANCET, 2008, 372 (9648) : 1502 - 1517
  • [9] Demchak Barry, 2014, F1000Res, V3, P151, DOI 10.12688/f1000research.4492.2
  • [10] A type 2 biomarker separates relapsing-remitting from secondary progressive multiple sclerosis
    Dickens, Alex M.
    Larkin, James R.
    Griffin, Julian L.
    Cavey, Ana
    Matthews, Lucy
    Turner, Martin R.
    Wilcock, Gordon K.
    Davis, Benjamin G.
    Claridge, Timothy D. W.
    Palace, Jacqueline
    Anthony, Daniel C.
    Sibson, Nicola R.
    [J]. NEUROLOGY, 2014, 83 (17) : 1492 - 1499