Near-Infrared Spatially Resolved Spectroscopy as an Indirect Technique to Assess Brown Adipose Tissue in Young Women View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Francisco M. Acosta, Jörn Berchem, Borja Martinez-Tellez, Guillermo Sanchez-Delgado, Juan M. A. Alcantara, Lourdes Ortiz-Alvarez, Takafumi Hamaoka, Jonatan R. Ruiz

ABSTRACT

PURPOSE: Near-infrared spectroscopy (NIRS) has recently been proposed as an indirect technique to assess brown adipose tissue (BAT) in young men. NIRS arises as a novel technique to avoid the limitations of the "gold-standard" 2-deoxy-2-[18F]fluoro-D-glucose ([18F]DG) positron emission tomography combined with X-ray computed tomography (PET/CT). The aim of this study was to examine the association between near-infrared spatially resolved spectroscopy (NIRSRS) parameters and BAT volume and activity estimated by [18F]DG-PET/CT in 18 young healthy women. PROCEDURES: NIRSRS parameters [tissue saturation index and concentrations of total haemoglobin, oxy-haemoglobin, and deoxy-haemoglobin] were continuously measured in the supraclavicular and forearm regions, in both warm and cold (2 h of personalised cold exposure) conditions. Then, the NIRSRS data were analysed as an average of 5 min in 4 different periods: (i) warm period as the baseline record, (ii) cold period I, (iii) cold period II, and (iv) cold period III. The data were then correlated with BAT volume and activity (SUVmean and SUVpeak) estimated by [18F]DG-PET/CT. RESULTS: There was no association between the NIRSRS parameters in the supraclavicular region in warm conditions (no previous cold exposure) and BAT volume and activity (P > 0.05). Similarly, the cold-induced changes of the NIRSRS parameters in the supraclavicular region were not associated with BAT volume and activity (P > 0.05). CONCLUSIONS: NIRSRS does not seem to be a valid technique to indirectly assess BAT in young healthy women. Further research is needed to validate this technique against other methods such as PET/CT using different radiotracers or magnetic resonance imaging. More... »

PAGES

1-11

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11307-018-1244-5

DOI

http://dx.doi.org/10.1007/s11307-018-1244-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105207515

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29956118


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Granada", 
          "id": "https://www.grid.ac/institutes/grid.4489.1", 
          "name": [
            "PROFITH \u201cPROmoting FITness and Health through physical activity\u201d Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Acosta", 
        "givenName": "Francisco M.", 
        "id": "sg:person.0577373137.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577373137.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Giessen", 
          "id": "https://www.grid.ac/institutes/grid.8664.c", 
          "name": [
            "PROFITH \u201cPROmoting FITness and Health through physical activity\u201d Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain", 
            "Department of Sports Medicine, Institute of Sports Sciences, Justus-Liebig-University Giessen, Kugelberg 62, 35394, Giessen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berchem", 
        "givenName": "J\u00f6rn", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Leiden University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.10419.3d", 
          "name": [
            "PROFITH \u201cPROmoting FITness and Health through physical activity\u201d Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain", 
            "Department of Medicine, Division of Endocrinology, and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martinez-Tellez", 
        "givenName": "Borja", 
        "id": "sg:person.0742654125.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742654125.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Granada", 
          "id": "https://www.grid.ac/institutes/grid.4489.1", 
          "name": [
            "PROFITH \u201cPROmoting FITness and Health through physical activity\u201d Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sanchez-Delgado", 
        "givenName": "Guillermo", 
        "id": "sg:person.01010767325.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010767325.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Granada", 
          "id": "https://www.grid.ac/institutes/grid.4489.1", 
          "name": [
            "PROFITH \u201cPROmoting FITness and Health through physical activity\u201d Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alcantara", 
        "givenName": "Juan M. A.", 
        "id": "sg:person.011343772307.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011343772307.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Granada", 
          "id": "https://www.grid.ac/institutes/grid.4489.1", 
          "name": [
            "PROFITH \u201cPROmoting FITness and Health through physical activity\u201d Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ortiz-Alvarez", 
        "givenName": "Lourdes", 
        "id": "sg:person.012141352707.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012141352707.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410793.8", 
          "name": [
            "Department of Sports Medicine for Health Promotion, Tokyo Medical University, 6-1-1, Shinjuku, Shinjuku-ku, 160-8402, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamaoka", 
        "givenName": "Takafumi", 
        "id": "sg:person.012515250717.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012515250717.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Granada", 
          "id": "https://www.grid.ac/institutes/grid.4489.1", 
          "name": [
            "PROFITH \u201cPROmoting FITness and Health through physical activity\u201d Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ruiz", 
        "givenName": "Jonatan R.", 
        "id": "sg:person.0603536746.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603536746.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.2337/db14-0513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000342723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-014-2715-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002676223", 
          "https://doi.org/10.1007/s00259-014-2715-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00421-014-3019-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003299937", 
          "https://doi.org/10.1007/s00421-014-3019-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biocel.2012.09.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004699629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cct.2015.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005033181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-016-3364-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005983033", 
          "https://doi.org/10.1007/s00259-016-3364-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-016-3364-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005983033", 
          "https://doi.org/10.1007/s00259-016-3364-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4939-3023-4_46", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006344430", 
          "https://doi.org/10.1007/978-1-4939-3023-4_46"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mol.0000000000000296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006402088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mol.0000000000000296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006402088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1600-0838.2001.110404.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007316791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.24118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007542791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2011.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007742804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2011.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007742804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db12-1430", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008958682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2014.07.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011258194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/physrev.00015.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011751148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00920.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011861242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4065/78.5.603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014028706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2016.07.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014909852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.2805437", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018198153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpendo.00183.2009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019089858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.01041.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019159689"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0808718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020175954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpregu.00021.2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025643581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.2019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026706357", 
          "https://doi.org/10.1038/nmeth.2019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci60433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027882187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00867.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029325572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2011.0230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029714298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1113/jphysiol.2014.283598", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029714971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2967/jnumed.112.111336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030269869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0808949", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031171399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/oby.21012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031604134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/12.356862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032647575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00421-010-1596-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038439489", 
          "https://doi.org/10.1007/s00421-010-1596-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00421-010-1596-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038439489", 
          "https://doi.org/10.1007/s00421-010-1596-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(88)90076-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039226596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2016.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040165088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2213-8587(13)70055-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041501348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0810780", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049326570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.929199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062660887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2013-3901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064294791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ao.46.002785", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065121871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00365516509083359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070978594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms14146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074246759", 
          "https://doi.org/10.1038/ncomms14146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13238-017-0378-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083852114", 
          "https://doi.org/10.1007/s13238-017-0378-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13238-017-0378-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083852114", 
          "https://doi.org/10.1007/s13238-017-0378-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.diabet.2017.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085202224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymeth.2017.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085437309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymeth.2017.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085437309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1705287114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090894397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fphys.2017.00863", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092512720"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "PURPOSE: Near-infrared spectroscopy (NIRS) has recently been proposed as an indirect technique to assess brown adipose tissue (BAT) in young men. NIRS arises as a novel technique to avoid the limitations of the \"gold-standard\" 2-deoxy-2-[18F]fluoro-D-glucose ([18F]DG) positron emission tomography combined with X-ray computed tomography (PET/CT). The aim of this study was to examine the association between near-infrared spatially resolved spectroscopy (NIRSRS) parameters and BAT volume and activity estimated by [18F]DG-PET/CT in 18 young healthy women.\nPROCEDURES: NIRSRS parameters [tissue saturation index and concentrations of total haemoglobin, oxy-haemoglobin, and deoxy-haemoglobin] were continuously measured in the supraclavicular and forearm regions, in both warm and cold (2\u00a0h of personalised cold exposure) conditions. Then, the NIRSRS data were analysed as an average of 5\u00a0min in 4 different periods: (i) warm period as the baseline record, (ii) cold period I, (iii) cold period II, and (iv) cold period III. The data were then correlated with BAT volume and activity (SUVmean and SUVpeak) estimated by [18F]DG-PET/CT.\nRESULTS: There was no association between the NIRSRS parameters in the supraclavicular region in warm conditions (no previous cold exposure) and BAT volume and activity (P\u2009>\u20090.05). Similarly, the cold-induced changes of the NIRSRS parameters in the supraclavicular region were not associated with BAT volume and activity (P\u2009>\u20090.05).\nCONCLUSIONS: NIRSRS does not seem to be a valid technique to indirectly assess BAT in young healthy women. Further research is needed to validate this technique against other methods such as PET/CT using different radiotracers or magnetic resonance imaging.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11307-018-1244-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1118463", 
        "issn": [
          "1536-1632", 
          "1878-5751"
        ], 
        "name": "Molecular Imaging and Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "21"
      }
    ], 
    "name": "Near-Infrared Spatially Resolved Spectroscopy as an Indirect Technique to Assess Brown Adipose Tissue in Young Women", 
    "pagination": "1-11", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11307-018-1244-5"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f79bd540500bdf420ae3daccedc14d2655a39cf2203029834b640f16c2d16a96"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105207515"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101125610"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29956118"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11307-018-1244-5", 
      "https://app.dimensions.ai/details/publication/pub.1105207515"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T08:48", 
    "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/v90/0000000374_0000000374/records_119714_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11307-018-1244-5"
  }
]
 

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/s11307-018-1244-5'

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/s11307-018-1244-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11307-018-1244-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11307-018-1244-5'


 

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

274 TRIPLES      21 PREDICATES      75 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11307-018-1244-5 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N4332afd054474b07a9a650f958d78445
4 schema:citation sg:pub.10.1007/978-1-4939-3023-4_46
5 sg:pub.10.1007/s00259-014-2715-9
6 sg:pub.10.1007/s00259-016-3364-y
7 sg:pub.10.1007/s00421-010-1596-2
8 sg:pub.10.1007/s00421-014-3019-2
9 sg:pub.10.1007/s13238-017-0378-6
10 sg:pub.10.1038/ncomms14146
11 sg:pub.10.1038/nmeth.2019
12 https://doi.org/10.1002/mrm.24118
13 https://doi.org/10.1002/oby.21012
14 https://doi.org/10.1016/0003-2697(88)90076-0
15 https://doi.org/10.1016/j.biocel.2012.09.024
16 https://doi.org/10.1016/j.cct.2015.11.004
17 https://doi.org/10.1016/j.cmet.2011.06.012
18 https://doi.org/10.1016/j.cmet.2014.07.025
19 https://doi.org/10.1016/j.cmet.2016.07.014
20 https://doi.org/10.1016/j.cmet.2016.12.005
21 https://doi.org/10.1016/j.diabet.2017.03.008
22 https://doi.org/10.1016/j.ymeth.2017.05.001
23 https://doi.org/10.1016/s2213-8587(13)70055-x
24 https://doi.org/10.1034/j.1600-0838.2001.110404.x
25 https://doi.org/10.1056/nejmoa0808718
26 https://doi.org/10.1056/nejmoa0808949
27 https://doi.org/10.1056/nejmoa0810780
28 https://doi.org/10.1073/pnas.1705287114
29 https://doi.org/10.1097/mol.0000000000000296
30 https://doi.org/10.1098/rsta.2011.0230
31 https://doi.org/10.1113/jphysiol.2014.283598
32 https://doi.org/10.1117/1.2805437
33 https://doi.org/10.1117/12.356862
34 https://doi.org/10.1126/science.929199
35 https://doi.org/10.1152/ajpendo.00183.2009
36 https://doi.org/10.1152/ajpregu.00021.2014
37 https://doi.org/10.1152/japplphysiol.00867.2005
38 https://doi.org/10.1152/japplphysiol.00920.2005
39 https://doi.org/10.1152/japplphysiol.01041.2003
40 https://doi.org/10.1152/physrev.00015.2003
41 https://doi.org/10.1172/jci60433
42 https://doi.org/10.1210/jc.2013-3901
43 https://doi.org/10.1364/ao.46.002785
44 https://doi.org/10.2337/db12-1430
45 https://doi.org/10.2337/db14-0513
46 https://doi.org/10.2967/jnumed.112.111336
47 https://doi.org/10.3109/00365516509083359
48 https://doi.org/10.3389/fphys.2017.00863
49 https://doi.org/10.4065/78.5.603
50 schema:datePublished 2019-04
51 schema:datePublishedReg 2019-04-01
52 schema:description PURPOSE: Near-infrared spectroscopy (NIRS) has recently been proposed as an indirect technique to assess brown adipose tissue (BAT) in young men. NIRS arises as a novel technique to avoid the limitations of the "gold-standard" 2-deoxy-2-[18F]fluoro-D-glucose ([18F]DG) positron emission tomography combined with X-ray computed tomography (PET/CT). The aim of this study was to examine the association between near-infrared spatially resolved spectroscopy (NIRSRS) parameters and BAT volume and activity estimated by [18F]DG-PET/CT in 18 young healthy women. PROCEDURES: NIRSRS parameters [tissue saturation index and concentrations of total haemoglobin, oxy-haemoglobin, and deoxy-haemoglobin] were continuously measured in the supraclavicular and forearm regions, in both warm and cold (2 h of personalised cold exposure) conditions. Then, the NIRSRS data were analysed as an average of 5 min in 4 different periods: (i) warm period as the baseline record, (ii) cold period I, (iii) cold period II, and (iv) cold period III. The data were then correlated with BAT volume and activity (SUVmean and SUVpeak) estimated by [18F]DG-PET/CT. RESULTS: There was no association between the NIRSRS parameters in the supraclavicular region in warm conditions (no previous cold exposure) and BAT volume and activity (P > 0.05). Similarly, the cold-induced changes of the NIRSRS parameters in the supraclavicular region were not associated with BAT volume and activity (P > 0.05). CONCLUSIONS: NIRSRS does not seem to be a valid technique to indirectly assess BAT in young healthy women. Further research is needed to validate this technique against other methods such as PET/CT using different radiotracers or magnetic resonance imaging.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree false
56 schema:isPartOf N141245c6258e4998a5ceafe920fb2c01
57 Na5ad6c879a6e4f6682caca6fb814445e
58 sg:journal.1118463
59 schema:name Near-Infrared Spatially Resolved Spectroscopy as an Indirect Technique to Assess Brown Adipose Tissue in Young Women
60 schema:pagination 1-11
61 schema:productId N2e5ce49c325141b1b1d0ebc882aaede5
62 N73ad9f8238c54c348c91fcd588034df2
63 Nc0fb852e6674457aa71b0e56f0299ff9
64 Nd1ff736c59c34f9a98f4f07b1d6354ad
65 Ne9b5e5bccfff429fb37d8d76f0293515
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105207515
67 https://doi.org/10.1007/s11307-018-1244-5
68 schema:sdDatePublished 2019-04-15T08:48
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher Nde381b5da5ae43e585b8c83526d1587e
71 schema:url https://link.springer.com/10.1007%2Fs11307-018-1244-5
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N0e3cc3480f5546a4aaa3a391520de337 rdf:first sg:person.012141352707.54
76 rdf:rest N19ae6c15314e44eeb5b121fb7290973d
77 N141245c6258e4998a5ceafe920fb2c01 schema:issueNumber 2
78 rdf:type schema:PublicationIssue
79 N19ae6c15314e44eeb5b121fb7290973d rdf:first sg:person.012515250717.28
80 rdf:rest Nce86334b43154df18b924ed5f80bdf4e
81 N2e5ce49c325141b1b1d0ebc882aaede5 schema:name doi
82 schema:value 10.1007/s11307-018-1244-5
83 rdf:type schema:PropertyValue
84 N4332afd054474b07a9a650f958d78445 rdf:first sg:person.0577373137.81
85 rdf:rest Nbeaf6a97ba744c8bafee9147dc208fb2
86 N73ad9f8238c54c348c91fcd588034df2 schema:name readcube_id
87 schema:value f79bd540500bdf420ae3daccedc14d2655a39cf2203029834b640f16c2d16a96
88 rdf:type schema:PropertyValue
89 Na4c764ec5b824b818af722d57bd4897b rdf:first sg:person.0742654125.09
90 rdf:rest Nd205fdc35f2e46a9849a29933195a3f7
91 Na5ad6c879a6e4f6682caca6fb814445e schema:volumeNumber 21
92 rdf:type schema:PublicationVolume
93 Nbeaf6a97ba744c8bafee9147dc208fb2 rdf:first Nf73cf9f47cfc4d91818cb4f5700e4179
94 rdf:rest Na4c764ec5b824b818af722d57bd4897b
95 Nc0fb852e6674457aa71b0e56f0299ff9 schema:name nlm_unique_id
96 schema:value 101125610
97 rdf:type schema:PropertyValue
98 Nc563b012d14c40f7a7f38b8dcb1dd09a rdf:first sg:person.011343772307.34
99 rdf:rest N0e3cc3480f5546a4aaa3a391520de337
100 Nce86334b43154df18b924ed5f80bdf4e rdf:first sg:person.0603536746.83
101 rdf:rest rdf:nil
102 Nd1ff736c59c34f9a98f4f07b1d6354ad schema:name pubmed_id
103 schema:value 29956118
104 rdf:type schema:PropertyValue
105 Nd205fdc35f2e46a9849a29933195a3f7 rdf:first sg:person.01010767325.88
106 rdf:rest Nc563b012d14c40f7a7f38b8dcb1dd09a
107 Nde381b5da5ae43e585b8c83526d1587e schema:name Springer Nature - SN SciGraph project
108 rdf:type schema:Organization
109 Ne9b5e5bccfff429fb37d8d76f0293515 schema:name dimensions_id
110 schema:value pub.1105207515
111 rdf:type schema:PropertyValue
112 Nf73cf9f47cfc4d91818cb4f5700e4179 schema:affiliation https://www.grid.ac/institutes/grid.8664.c
113 schema:familyName Berchem
114 schema:givenName Jörn
115 rdf:type schema:Person
116 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
117 schema:name Medical and Health Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
120 schema:name Clinical Sciences
121 rdf:type schema:DefinedTerm
122 sg:journal.1118463 schema:issn 1536-1632
123 1878-5751
124 schema:name Molecular Imaging and Biology
125 rdf:type schema:Periodical
126 sg:person.01010767325.88 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
127 schema:familyName Sanchez-Delgado
128 schema:givenName Guillermo
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010767325.88
130 rdf:type schema:Person
131 sg:person.011343772307.34 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
132 schema:familyName Alcantara
133 schema:givenName Juan M. A.
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011343772307.34
135 rdf:type schema:Person
136 sg:person.012141352707.54 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
137 schema:familyName Ortiz-Alvarez
138 schema:givenName Lourdes
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012141352707.54
140 rdf:type schema:Person
141 sg:person.012515250717.28 schema:affiliation https://www.grid.ac/institutes/grid.410793.8
142 schema:familyName Hamaoka
143 schema:givenName Takafumi
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012515250717.28
145 rdf:type schema:Person
146 sg:person.0577373137.81 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
147 schema:familyName Acosta
148 schema:givenName Francisco M.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577373137.81
150 rdf:type schema:Person
151 sg:person.0603536746.83 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
152 schema:familyName Ruiz
153 schema:givenName Jonatan R.
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603536746.83
155 rdf:type schema:Person
156 sg:person.0742654125.09 schema:affiliation https://www.grid.ac/institutes/grid.10419.3d
157 schema:familyName Martinez-Tellez
158 schema:givenName Borja
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742654125.09
160 rdf:type schema:Person
161 sg:pub.10.1007/978-1-4939-3023-4_46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006344430
162 https://doi.org/10.1007/978-1-4939-3023-4_46
163 rdf:type schema:CreativeWork
164 sg:pub.10.1007/s00259-014-2715-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002676223
165 https://doi.org/10.1007/s00259-014-2715-9
166 rdf:type schema:CreativeWork
167 sg:pub.10.1007/s00259-016-3364-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1005983033
168 https://doi.org/10.1007/s00259-016-3364-y
169 rdf:type schema:CreativeWork
170 sg:pub.10.1007/s00421-010-1596-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038439489
171 https://doi.org/10.1007/s00421-010-1596-2
172 rdf:type schema:CreativeWork
173 sg:pub.10.1007/s00421-014-3019-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003299937
174 https://doi.org/10.1007/s00421-014-3019-2
175 rdf:type schema:CreativeWork
176 sg:pub.10.1007/s13238-017-0378-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083852114
177 https://doi.org/10.1007/s13238-017-0378-6
178 rdf:type schema:CreativeWork
179 sg:pub.10.1038/ncomms14146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074246759
180 https://doi.org/10.1038/ncomms14146
181 rdf:type schema:CreativeWork
182 sg:pub.10.1038/nmeth.2019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026706357
183 https://doi.org/10.1038/nmeth.2019
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1002/mrm.24118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007542791
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1002/oby.21012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031604134
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/0003-2697(88)90076-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039226596
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.biocel.2012.09.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004699629
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.cct.2015.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005033181
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.cmet.2011.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007742804
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.cmet.2014.07.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011258194
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.cmet.2016.07.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014909852
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.cmet.2016.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040165088
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.diabet.2017.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085202224
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.ymeth.2017.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085437309
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/s2213-8587(13)70055-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041501348
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1034/j.1600-0838.2001.110404.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007316791
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1056/nejmoa0808718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020175954
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1056/nejmoa0808949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031171399
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1056/nejmoa0810780 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049326570
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1073/pnas.1705287114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090894397
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1097/mol.0000000000000296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006402088
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1098/rsta.2011.0230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029714298
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1113/jphysiol.2014.283598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029714971
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1117/1.2805437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018198153
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1117/12.356862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032647575
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1126/science.929199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062660887
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1152/ajpendo.00183.2009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019089858
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1152/ajpregu.00021.2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025643581
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1152/japplphysiol.00867.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029325572
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1152/japplphysiol.00920.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011861242
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1152/japplphysiol.01041.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019159689
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1152/physrev.00015.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011751148
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1172/jci60433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027882187
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1210/jc.2013-3901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064294791
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1364/ao.46.002785 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065121871
248 rdf:type schema:CreativeWork
249 https://doi.org/10.2337/db12-1430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008958682
250 rdf:type schema:CreativeWork
251 https://doi.org/10.2337/db14-0513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000342723
252 rdf:type schema:CreativeWork
253 https://doi.org/10.2967/jnumed.112.111336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030269869
254 rdf:type schema:CreativeWork
255 https://doi.org/10.3109/00365516509083359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070978594
256 rdf:type schema:CreativeWork
257 https://doi.org/10.3389/fphys.2017.00863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092512720
258 rdf:type schema:CreativeWork
259 https://doi.org/10.4065/78.5.603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014028706
260 rdf:type schema:CreativeWork
261 https://www.grid.ac/institutes/grid.10419.3d schema:alternateName Leiden University Medical Center
262 schema:name Department of Medicine, Division of Endocrinology, and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
263 PROFITH “PROmoting FITness and Health through physical activity” Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain
264 rdf:type schema:Organization
265 https://www.grid.ac/institutes/grid.410793.8 schema:alternateName Tokyo Medical University
266 schema:name Department of Sports Medicine for Health Promotion, Tokyo Medical University, 6-1-1, Shinjuku, Shinjuku-ku, 160-8402, Tokyo, Japan
267 rdf:type schema:Organization
268 https://www.grid.ac/institutes/grid.4489.1 schema:alternateName University of Granada
269 schema:name PROFITH “PROmoting FITness and Health through physical activity” Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain
270 rdf:type schema:Organization
271 https://www.grid.ac/institutes/grid.8664.c schema:alternateName University of Giessen
272 schema:name Department of Sports Medicine, Institute of Sports Sciences, Justus-Liebig-University Giessen, Kugelberg 62, 35394, Giessen, Germany
273 PROFITH “PROmoting FITness and Health through physical activity” Research Group, Department of Physical and Sports Education, Faculty of Sports Science, University of Granada, Carretera de Alfacar, s/n, 18071, Granada, Spain
274 rdf:type schema:Organization
 




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


...