NMR-Based Metabolomics Separates the Distinct Stages of Disease in a Chronic Relapsing Model of Multiple Sclerosis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-09

AUTHORS

Alex M. Dickens, James R. Larkin, Benjamin G. Davis, Julian L. Griffin, Timothy D. W. Claridge, Nicola R. Sibson, Daniel C. Anthony

ABSTRACT

Relapsing experimental allergic encephalomyelitis (Cr-EAE) is commonly used to explore the pathogenesis and efficacy of new therapies for MS, but it is unclear whether the metabolome of Cr-EAE is comparable to human multiple sclerosis (MS). For MS, the diagnosis and staging can be achieved by metabolomics on blood using a combination of magnetic resonance spectroscopy and partial least squares discriminant analysis (PLS-DA). Here, we sought to discover whether this approach could be used to differentiate between sequential disease states in Cr-EAE and whether the same metabolites would be discriminatory. Urine and plasma samples were obtained at different time-points from a clinically relevant model of MS. Using PLS-DA modelling for the urine samples furnished some predictive models, but could not discriminate between all disease states. However, PLS-DA modelling of the plasma samples was able to distinguish between animals with clinically silent disease (day 10, 28) and animals with active disease (day 14, 38). We were also able to distinguish Cr-EAE mice from naive mice at all-time points and control mice, treated with complete Freund's adjuvant alone, at day 14 and 38. Key metabolites that underpin these models included fatty acids, glucose and taurine. Two of these metabolites, fatty acids and glucose, were also key metabolites in separating relapsing-remitting MS from secondary-progressive MS in the human study. These results demonstrate the sensitivity of this metabolomics approach for distinguishing between different disease states. Furthermore, some, but not all, of the changes in metabolites were conserved in humans and the mouse model, which could be useful for future drug development. More... »

PAGES

435-444

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11481-015-9622-0

DOI

http://dx.doi.org/10.1007/s11481-015-9622-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052232978

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26155956


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Models, Animal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Progression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Encephalomyelitis, Autoimmune, Experimental", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Spectroscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mice", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mice, Biozzi", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Theoretical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Multiple Sclerosis, Relapsing-Remitting", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, Radiobiology Research Institute, Churchill Hospital, University of Oxford, OX3 7LJ, Oxford, UK", 
            "Department of Pharmacology, University of Oxford, OX1 3QT, Oxford, UK", 
            "Department of Chemistry, University of Oxford, OX1 3TA, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dickens", 
        "givenName": "Alex M.", 
        "id": "sg:person.0773225275.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773225275.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, Radiobiology Research Institute, Churchill Hospital, University of Oxford, OX3 7LJ, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Larkin", 
        "givenName": "James R.", 
        "id": "sg:person.0766637632.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766637632.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Department of Chemistry, University of Oxford, OX1 3TA, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Davis", 
        "givenName": "Benjamin G.", 
        "id": "sg:person.011632210747.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011632210747.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Cambridge", 
          "id": "https://www.grid.ac/institutes/grid.5335.0", 
          "name": [
            "Department of Biochemistry, University of Cambridge, CB2 1GA, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Griffin", 
        "givenName": "Julian L.", 
        "id": "sg:person.012451221647.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012451221647.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Department of Chemistry, University of Oxford, OX1 3TA, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Claridge", 
        "givenName": "Timothy D. W.", 
        "id": "sg:person.01001237014.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001237014.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, Radiobiology Research Institute, Churchill Hospital, University of Oxford, OX3 7LJ, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sibson", 
        "givenName": "Nicola R.", 
        "id": "sg:person.01256411201.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256411201.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Department of Pharmacology, University of Oxford, OX1 3QT, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anthony", 
        "givenName": "Daniel C.", 
        "id": "sg:person.0614057233.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614057233.56"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/317355a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000146345", 
          "https://doi.org/10.1038/317355a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00313549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001867618", 
          "https://doi.org/10.1007/bf00313549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00313549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001867618", 
          "https://doi.org/10.1007/bf00313549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm200009283431307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003796615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajpath.2013.02.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004153198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/309356a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005720371", 
          "https://doi.org/10.1038/309356a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/nen.0b013e3181a41d23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006724724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-5728(94)90162-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007833725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-5728(94)90162-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007833725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneuroim.2012.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010642994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9440(10)64684-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013841198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cem.1031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014949314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jep.2005.03.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016226651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jep.2005.03.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016226651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00019052-200206000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016686521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00019052-200206000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016686521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.febslet.2004.04.096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021064729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yjmcc.2012.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021410254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rec.2013.04.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021501435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0079-6565(00)00036-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021522769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/120.1.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021896680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuint.2010.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022005717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ana.410380411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022650332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0000000000000905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026397445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0000000000000905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026397445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00869773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026612966", 
          "https://doi.org/10.1007/bf00869773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmed.2010.11.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029691261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.3168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032405758", 
          "https://doi.org/10.1038/nn.3168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn810", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036882549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkl923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038368215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneuroim.2005.04.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039684502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneuroim.2005.04.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039684502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039819082", 
          "https://doi.org/10.1186/1471-2164-11-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmr.2013.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041175245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/awh176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042502849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneuroim.2005.08.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042931530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneuroim.2005.08.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042931530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-pharmtox-010510-100502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044283923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fj.11-183772", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044407280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.it.2005.08.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044798950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.it.2005.08.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044798950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-5728(90)90019-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052585132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-5728(90)90019-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052585132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0079-6565(96)90002-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054549656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0b013e31821432ff", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064356061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0b013e31821432ff", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064356061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0b013e31821432ff", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064356061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1189/jlb.70.6.849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074962494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/84.3.531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077294147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081616185", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081962674", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-09", 
    "datePublishedReg": "2015-09-01", 
    "description": "Relapsing experimental allergic encephalomyelitis (Cr-EAE) is commonly used to explore the pathogenesis and efficacy of new therapies for MS, but it is unclear whether the metabolome of Cr-EAE is comparable to human multiple sclerosis (MS). For MS, the diagnosis and staging can be achieved by metabolomics on blood using a combination of magnetic resonance spectroscopy and partial least squares discriminant analysis (PLS-DA). Here, we sought to discover whether this approach could be used to differentiate between sequential disease states in Cr-EAE and whether the same metabolites would be discriminatory. Urine and plasma samples were obtained at different time-points from a clinically relevant model of MS. Using PLS-DA modelling for the urine samples furnished some predictive models, but could not discriminate between all disease states. However, PLS-DA modelling of the plasma samples was able to distinguish between animals with clinically silent disease (day 10, 28) and animals with active disease (day 14, 38). We were also able to distinguish Cr-EAE mice from naive mice at all-time points and control mice, treated with complete Freund's adjuvant alone, at day 14 and 38. Key metabolites that underpin these models included fatty acids, glucose and taurine. Two of these metabolites, fatty acids and glucose, were also key metabolites in separating relapsing-remitting MS from secondary-progressive MS in the human study. These results demonstrate the sensitivity of this metabolomics approach for distinguishing between different disease states. Furthermore, some, but not all, of the changes in metabolites were conserved in humans and the mouse model, which could be useful for future drug development. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11481-015-9622-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2785012", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1035881", 
        "issn": [
          "1557-1890", 
          "1557-1904"
        ], 
        "name": "Journal of Neuroimmune Pharmacology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "NMR-Based Metabolomics Separates the Distinct Stages of Disease in a Chronic Relapsing Model of Multiple Sclerosis", 
    "pagination": "435-444", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f8cd7f43c1df8264c5f142f8a53eb7c562bf6cea3f861612dc2a81add843a55f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26155956"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101256586"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11481-015-9622-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052232978"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11481-015-9622-0", 
      "https://app.dimensions.ai/details/publication/pub.1052232978"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:13", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8660_00000524.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11481-015-9622-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11481-015-9622-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11481-015-9622-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11481-015-9622-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11481-015-9622-0'


 

This table displays all metadata directly associated to this object as RDF triples.

286 TRIPLES      21 PREDICATES      79 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11481-015-9622-0 schema:about N247cfc53fa204e049d26e5780218e0d7
2 N2c01c9d835e24cbfb9cb79bbc654cab3
3 N3fbf4c7a438c4c0d92242b8718a13554
4 N58352905b112459fae3f01c99a6688b9
5 N84e993529f1c4bb6ac9c2f270f14131e
6 Nd241192a6032406e8453b14989ba6035
7 Ne64f6f640ecf4c9485438c81dac109b4
8 Nef24059d04e04733857810c487d2e101
9 Nf80c2afd56944e89825446ea9269149a
10 Nfd0f0c5f4bce49098fd69a01eb093992
11 anzsrc-for:11
12 anzsrc-for:1109
13 schema:author N2ef61a5653024ddb8eed6419e03ae141
14 schema:citation sg:pub.10.1007/bf00313549
15 sg:pub.10.1007/bf00869773
16 sg:pub.10.1038/309356a0
17 sg:pub.10.1038/317355a0
18 sg:pub.10.1038/nn.3168
19 sg:pub.10.1186/1471-2164-11-9
20 https://app.dimensions.ai/details/publication/pub.1081616185
21 https://app.dimensions.ai/details/publication/pub.1081962674
22 https://doi.org/10.1002/ana.410380411
23 https://doi.org/10.1002/cem.1031
24 https://doi.org/10.1016/0079-6565(96)90002-3
25 https://doi.org/10.1016/0165-5728(90)90019-j
26 https://doi.org/10.1016/0165-5728(94)90162-7
27 https://doi.org/10.1016/j.ajpath.2013.02.029
28 https://doi.org/10.1016/j.febslet.2004.04.096
29 https://doi.org/10.1016/j.it.2005.08.014
30 https://doi.org/10.1016/j.jep.2005.03.033
31 https://doi.org/10.1016/j.jmr.2013.06.012
32 https://doi.org/10.1016/j.jneuroim.2005.04.010
33 https://doi.org/10.1016/j.jneuroim.2005.08.022
34 https://doi.org/10.1016/j.jneuroim.2012.01.009
35 https://doi.org/10.1016/j.molmed.2010.11.006
36 https://doi.org/10.1016/j.neuint.2010.04.001
37 https://doi.org/10.1016/j.rec.2013.04.009
38 https://doi.org/10.1016/j.yjmcc.2012.12.001
39 https://doi.org/10.1016/s0002-9440(10)64684-6
40 https://doi.org/10.1016/s0079-6565(00)00036-4
41 https://doi.org/10.1056/nejm200009283431307
42 https://doi.org/10.1093/ajcn/84.3.531
43 https://doi.org/10.1093/brain/120.1.1
44 https://doi.org/10.1093/brain/awh176
45 https://doi.org/10.1093/nar/gkl923
46 https://doi.org/10.1093/nar/gkn810
47 https://doi.org/10.1096/fj.11-183772
48 https://doi.org/10.1097/00019052-200206000-00003
49 https://doi.org/10.1097/nen.0b013e3181a41d23
50 https://doi.org/10.1146/annurev-pharmtox-010510-100502
51 https://doi.org/10.1189/jlb.70.6.849
52 https://doi.org/10.1212/wnl.0000000000000905
53 https://doi.org/10.1212/wnl.0b013e31821432ff
54 schema:datePublished 2015-09
55 schema:datePublishedReg 2015-09-01
56 schema:description Relapsing experimental allergic encephalomyelitis (Cr-EAE) is commonly used to explore the pathogenesis and efficacy of new therapies for MS, but it is unclear whether the metabolome of Cr-EAE is comparable to human multiple sclerosis (MS). For MS, the diagnosis and staging can be achieved by metabolomics on blood using a combination of magnetic resonance spectroscopy and partial least squares discriminant analysis (PLS-DA). Here, we sought to discover whether this approach could be used to differentiate between sequential disease states in Cr-EAE and whether the same metabolites would be discriminatory. Urine and plasma samples were obtained at different time-points from a clinically relevant model of MS. Using PLS-DA modelling for the urine samples furnished some predictive models, but could not discriminate between all disease states. However, PLS-DA modelling of the plasma samples was able to distinguish between animals with clinically silent disease (day 10, 28) and animals with active disease (day 14, 38). We were also able to distinguish Cr-EAE mice from naive mice at all-time points and control mice, treated with complete Freund's adjuvant alone, at day 14 and 38. Key metabolites that underpin these models included fatty acids, glucose and taurine. Two of these metabolites, fatty acids and glucose, were also key metabolites in separating relapsing-remitting MS from secondary-progressive MS in the human study. These results demonstrate the sensitivity of this metabolomics approach for distinguishing between different disease states. Furthermore, some, but not all, of the changes in metabolites were conserved in humans and the mouse model, which could be useful for future drug development.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf N8bdf4c2fd45a421fab306e109c1ead4d
61 Ncb87a3a431714f70a341f5caaf98f3bb
62 sg:journal.1035881
63 schema:name NMR-Based Metabolomics Separates the Distinct Stages of Disease in a Chronic Relapsing Model of Multiple Sclerosis
64 schema:pagination 435-444
65 schema:productId N00830df1981f40ddab9bfce6e4894397
66 N0fefd3a32943491db99bffc55c7dd1a8
67 N326e616b76af45af8e9a17ab916a080d
68 N3b16b6767e8c4a6692c2e01956250185
69 Nf63df18973df4c92a71d3ee5c868d498
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052232978
71 https://doi.org/10.1007/s11481-015-9622-0
72 schema:sdDatePublished 2019-04-10T14:13
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher N6015a29ac4254198973e83a5c8c1eef9
75 schema:url http://link.springer.com/10.1007%2Fs11481-015-9622-0
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N00830df1981f40ddab9bfce6e4894397 schema:name pubmed_id
80 schema:value 26155956
81 rdf:type schema:PropertyValue
82 N0c71e4d7612b4f428fa15a5eab5416d1 schema:name Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, Radiobiology Research Institute, Churchill Hospital, University of Oxford, OX3 7LJ, Oxford, UK
83 rdf:type schema:Organization
84 N0fefd3a32943491db99bffc55c7dd1a8 schema:name readcube_id
85 schema:value f8cd7f43c1df8264c5f142f8a53eb7c562bf6cea3f861612dc2a81add843a55f
86 rdf:type schema:PropertyValue
87 N247cfc53fa204e049d26e5780218e0d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Metabolomics
89 rdf:type schema:DefinedTerm
90 N2c01c9d835e24cbfb9cb79bbc654cab3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Disease Progression
92 rdf:type schema:DefinedTerm
93 N2ef61a5653024ddb8eed6419e03ae141 rdf:first sg:person.0773225275.31
94 rdf:rest N46c031b248c945ac8f45c1aa6561fe23
95 N326e616b76af45af8e9a17ab916a080d schema:name doi
96 schema:value 10.1007/s11481-015-9622-0
97 rdf:type schema:PropertyValue
98 N3b16b6767e8c4a6692c2e01956250185 schema:name nlm_unique_id
99 schema:value 101256586
100 rdf:type schema:PropertyValue
101 N3fbf4c7a438c4c0d92242b8718a13554 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Animals
103 rdf:type schema:DefinedTerm
104 N46c031b248c945ac8f45c1aa6561fe23 rdf:first sg:person.0766637632.41
105 rdf:rest N9b188faa39544dedb2a7dfc7e7610302
106 N5387a6e4a1fc4b098b245b29ce324cd6 rdf:first sg:person.0614057233.56
107 rdf:rest rdf:nil
108 N58352905b112459fae3f01c99a6688b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Multiple Sclerosis, Relapsing-Remitting
110 rdf:type schema:DefinedTerm
111 N5f22493ff28542f7bd942474896af3c3 rdf:first sg:person.01256411201.00
112 rdf:rest N5387a6e4a1fc4b098b245b29ce324cd6
113 N6015a29ac4254198973e83a5c8c1eef9 schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 N84e993529f1c4bb6ac9c2f270f14131e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Mice, Biozzi
117 rdf:type schema:DefinedTerm
118 N8bdf4c2fd45a421fab306e109c1ead4d schema:issueNumber 3
119 rdf:type schema:PublicationIssue
120 N904187daa2d94a329c12160a06c0e20d rdf:first sg:person.012451221647.25
121 rdf:rest N9193f4157a7147bcb898e98df7f47396
122 N9193f4157a7147bcb898e98df7f47396 rdf:first sg:person.01001237014.37
123 rdf:rest N5f22493ff28542f7bd942474896af3c3
124 N9b188faa39544dedb2a7dfc7e7610302 rdf:first sg:person.011632210747.10
125 rdf:rest N904187daa2d94a329c12160a06c0e20d
126 Ncb87a3a431714f70a341f5caaf98f3bb schema:volumeNumber 10
127 rdf:type schema:PublicationVolume
128 Nd241192a6032406e8453b14989ba6035 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Magnetic Resonance Spectroscopy
130 rdf:type schema:DefinedTerm
131 Ne64f6f640ecf4c9485438c81dac109b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Models, Theoretical
133 rdf:type schema:DefinedTerm
134 Neab19a96dede4ee0b6885e9d8f181b15 schema:name Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, Radiobiology Research Institute, Churchill Hospital, University of Oxford, OX3 7LJ, Oxford, UK
135 rdf:type schema:Organization
136 Nef24059d04e04733857810c487d2e101 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Disease Models, Animal
138 rdf:type schema:DefinedTerm
139 Nf63df18973df4c92a71d3ee5c868d498 schema:name dimensions_id
140 schema:value pub.1052232978
141 rdf:type schema:PropertyValue
142 Nf80c2afd56944e89825446ea9269149a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Mice
144 rdf:type schema:DefinedTerm
145 Nfd0f0c5f4bce49098fd69a01eb093992 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Encephalomyelitis, Autoimmune, Experimental
147 rdf:type schema:DefinedTerm
148 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
149 schema:name Medical and Health Sciences
150 rdf:type schema:DefinedTerm
151 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
152 schema:name Neurosciences
153 rdf:type schema:DefinedTerm
154 sg:grant.2785012 http://pending.schema.org/fundedItem sg:pub.10.1007/s11481-015-9622-0
155 rdf:type schema:MonetaryGrant
156 sg:journal.1035881 schema:issn 1557-1890
157 1557-1904
158 schema:name Journal of Neuroimmune Pharmacology
159 rdf:type schema:Periodical
160 sg:person.01001237014.37 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
161 schema:familyName Claridge
162 schema:givenName Timothy D. W.
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001237014.37
164 rdf:type schema:Person
165 sg:person.011632210747.10 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
166 schema:familyName Davis
167 schema:givenName Benjamin G.
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011632210747.10
169 rdf:type schema:Person
170 sg:person.012451221647.25 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
171 schema:familyName Griffin
172 schema:givenName Julian L.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012451221647.25
174 rdf:type schema:Person
175 sg:person.01256411201.00 schema:affiliation N0c71e4d7612b4f428fa15a5eab5416d1
176 schema:familyName Sibson
177 schema:givenName Nicola R.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256411201.00
179 rdf:type schema:Person
180 sg:person.0614057233.56 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
181 schema:familyName Anthony
182 schema:givenName Daniel C.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614057233.56
184 rdf:type schema:Person
185 sg:person.0766637632.41 schema:affiliation Neab19a96dede4ee0b6885e9d8f181b15
186 schema:familyName Larkin
187 schema:givenName James R.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766637632.41
189 rdf:type schema:Person
190 sg:person.0773225275.31 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
191 schema:familyName Dickens
192 schema:givenName Alex M.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773225275.31
194 rdf:type schema:Person
195 sg:pub.10.1007/bf00313549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001867618
196 https://doi.org/10.1007/bf00313549
197 rdf:type schema:CreativeWork
198 sg:pub.10.1007/bf00869773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026612966
199 https://doi.org/10.1007/bf00869773
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/309356a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005720371
202 https://doi.org/10.1038/309356a0
203 rdf:type schema:CreativeWork
204 sg:pub.10.1038/317355a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000146345
205 https://doi.org/10.1038/317355a0
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/nn.3168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032405758
208 https://doi.org/10.1038/nn.3168
209 rdf:type schema:CreativeWork
210 sg:pub.10.1186/1471-2164-11-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039819082
211 https://doi.org/10.1186/1471-2164-11-9
212 rdf:type schema:CreativeWork
213 https://app.dimensions.ai/details/publication/pub.1081616185 schema:CreativeWork
214 https://app.dimensions.ai/details/publication/pub.1081962674 schema:CreativeWork
215 https://doi.org/10.1002/ana.410380411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022650332
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1002/cem.1031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014949314
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/0079-6565(96)90002-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054549656
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/0165-5728(90)90019-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1052585132
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/0165-5728(94)90162-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007833725
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.ajpath.2013.02.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004153198
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.febslet.2004.04.096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021064729
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.it.2005.08.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044798950
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.jep.2005.03.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016226651
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/j.jmr.2013.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041175245
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/j.jneuroim.2005.04.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039684502
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/j.jneuroim.2005.08.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042931530
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.jneuroim.2012.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010642994
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.molmed.2010.11.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029691261
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.neuint.2010.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022005717
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.rec.2013.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021501435
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.yjmcc.2012.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021410254
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/s0002-9440(10)64684-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013841198
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/s0079-6565(00)00036-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021522769
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1056/nejm200009283431307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003796615
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1093/ajcn/84.3.531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077294147
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1093/brain/120.1.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021896680
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1093/brain/awh176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042502849
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1093/nar/gkl923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038368215
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1093/nar/gkn810 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036882549
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1096/fj.11-183772 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044407280
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1097/00019052-200206000-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016686521
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1097/nen.0b013e3181a41d23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006724724
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1146/annurev-pharmtox-010510-100502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044283923
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1189/jlb.70.6.849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074962494
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1212/wnl.0000000000000905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026397445
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1212/wnl.0b013e31821432ff schema:sameAs https://app.dimensions.ai/details/publication/pub.1064356061
278 rdf:type schema:CreativeWork
279 https://www.grid.ac/institutes/grid.4991.5 schema:alternateName University of Oxford
280 schema:name Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, Radiobiology Research Institute, Churchill Hospital, University of Oxford, OX3 7LJ, Oxford, UK
281 Department of Chemistry, University of Oxford, OX1 3TA, Oxford, UK
282 Department of Pharmacology, University of Oxford, OX1 3QT, Oxford, UK
283 rdf:type schema:Organization
284 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
285 schema:name Department of Biochemistry, University of Cambridge, CB2 1GA, Oxford, UK
286 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...