Comparability of serum, plasma, and urinary estrogen and estrogen metabolite measurements by sex and menopausal status View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Sally B. Coburn, Frank Z. Stanczyk, Roni T. Falk, Katherine A. McGlynn, Louise A. Brinton, Joshua Sampson, Gary Bradwin, Xia Xu, Britton Trabert

ABSTRACT

PURPOSE: The comparability between serum, plasma, and urinary measurements of estrogen metabolites via liquid chromatography-tandem mass spectrometry (LC-MS/MS) has not been largely explored, and it is unclear if urinary LC-MS/MS measurements are suitable surrogates of circulating levels. METHODS: Serum, plasma (EDTA and heparin), and urinary estrogen/estrogen metabolite levels were measured via LC-MS/MS in paired samples from 64 healthy volunteers (18 men, 20 premenopausal women, 26 postmenopausal women). Geometric means and Spearman correlation coefficients were used to compare individual and combined pathway levels of estrogens/estrogen metabolites across biologic matrices by sex/menopausal status. RESULTS: Measured concentrations of estrogens/estrogen metabolites across blood matrices were almost identical (percent differences < 4.8%). Parent estrogen concentrations measured in serum and urine were moderately correlated in postmenopausal women (estrone: r = 0.69, estradiol: r = 0.69). Correlations were similar comparing unconjugated serum estradiol to urinary estrone (r = 0.76) and urinary estradiol (r = 0.65) in postmenopausal women but were moderate to low in premenopausal women (r = 0.60, 0.40, respectively)/men (r = 0.33, 0.53, respectively). Comparing metabolite ratios, proportionally higher concentrations of 16-pathway metabolites were measured in urine versus serum across sex/menopausal status groups (e.g., postmenopausal women: 50.3% 16-pathway metabolites/total in urine versus 35.3% in serum). CONCLUSIONS: There is strong agreement between estrogen/estrogen metabolites measurements in serum, heparin plasma, and EDTA plasma. Individual estrogen metabolite concentrations were moderately correlated between urine and serum, but were not well correlated when evaluating pathway- or relative estrogen concentrations. Differences between serum and urine are likely explained by differences in metabolism and/or excretion. More... »

PAGES

75-86

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10552-018-1105-1

DOI

http://dx.doi.org/10.1007/s10552-018-1105-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110333219

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30506492


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, Liquid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Estradiol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Estrogens", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Estrone", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Postmenopause", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Premenopause", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tandem Mass Spectrometry", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Institute of Arthritis and Musculoskeletal and Skin Diseases", 
          "id": "https://www.grid.ac/institutes/grid.420086.8", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coburn", 
        "givenName": "Sally B.", 
        "id": "sg:person.016216134235.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016216134235.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Departments of Obstetrics and Gynecology, and Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stanczyk", 
        "givenName": "Frank Z.", 
        "id": "sg:person.012357675257.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012357675257.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Arthritis and Musculoskeletal and Skin Diseases", 
          "id": "https://www.grid.ac/institutes/grid.420086.8", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Falk", 
        "givenName": "Roni T.", 
        "id": "sg:person.0677052347.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677052347.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Arthritis and Musculoskeletal and Skin Diseases", 
          "id": "https://www.grid.ac/institutes/grid.420086.8", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McGlynn", 
        "givenName": "Katherine A.", 
        "id": "sg:person.01234340325.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234340325.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Arthritis and Musculoskeletal and Skin Diseases", 
          "id": "https://www.grid.ac/institutes/grid.420086.8", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brinton", 
        "givenName": "Louise A.", 
        "id": "sg:person.01263622305.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263622305.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Arthritis and Musculoskeletal and Skin Diseases", 
          "id": "https://www.grid.ac/institutes/grid.420086.8", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sampson", 
        "givenName": "Joshua", 
        "id": "sg:person.015104331537.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015104331537.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston Children's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.2515.3", 
          "name": [
            "Department of Laboratory Medicine, Harvard Medical School and Children\u2019s Hospital, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bradwin", 
        "givenName": "Gary", 
        "id": "sg:person.0655774537.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0655774537.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Frederick National Laboratory for Cancer Research", 
          "id": "https://www.grid.ac/institutes/grid.418021.e", 
          "name": [
            "Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Xia", 
        "id": "sg:person.0675356476.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675356476.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Arthritis and Musculoskeletal and Skin Diseases", 
          "id": "https://www.grid.ac/institutes/grid.420086.8", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Trabert", 
        "givenName": "Britton", 
        "id": "sg:person.0633677423.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633677423.18"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/jnci/94.8.606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000961106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02211727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003221596", 
          "https://doi.org/10.1007/bf02211727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.steroids.2014.12.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005003031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.1994.tb30418.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007757793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djj376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010955308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-08-0355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011821104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0039-128x(79)90036-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013843800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0890-6238(92)90002-b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016463951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0890-6238(92)90002-b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016463951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1373/49.7.1139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017858095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.steroids.2007.05.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019982252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(14)61687-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021073293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr3394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022025189", 
          "https://doi.org/10.1186/bcr3394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-9378(80)91125-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022904129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/acta.0.0970251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027185111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2007.176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027431928", 
          "https://doi.org/10.1038/nprot.2007.176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0039-128x(94)90029-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035018049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-4731(82)90038-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037023891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-4731(82)90038-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037023891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/bmm.15.10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044263192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-128x(98)00041-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046205031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecl.2011.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047654570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/erc-07-0064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053251946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac050697c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054997083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac050697c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054997083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac070494j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054999357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac070494j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054999357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00201a008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055165006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/135475000424393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058382607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-16-1717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063216314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1387/ijdb.130015fg", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067191470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078166454", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078724256", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079536999", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081961074", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082209068", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082739693", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-01", 
    "datePublishedReg": "2019-01-01", 
    "description": "PURPOSE: The comparability between serum, plasma, and urinary measurements of estrogen metabolites via liquid chromatography-tandem mass spectrometry (LC-MS/MS) has not been largely explored, and it is unclear if urinary LC-MS/MS measurements are suitable surrogates of circulating levels.\nMETHODS: Serum, plasma (EDTA and heparin), and urinary estrogen/estrogen metabolite levels were measured via LC-MS/MS in paired samples from 64 healthy volunteers (18 men, 20 premenopausal women, 26 postmenopausal women). Geometric means and Spearman correlation coefficients were used to compare individual and combined pathway levels of estrogens/estrogen metabolites across biologic matrices by sex/menopausal status.\nRESULTS: Measured concentrations of estrogens/estrogen metabolites across blood matrices were almost identical (percent differences\u2009<\u20094.8%). Parent estrogen concentrations measured in serum and urine were moderately correlated in postmenopausal women (estrone: r\u2009=\u20090.69, estradiol: r\u2009=\u20090.69). Correlations were similar comparing unconjugated serum estradiol to urinary estrone (r\u2009=\u20090.76) and urinary estradiol (r\u2009=\u20090.65) in postmenopausal women but were moderate to low in premenopausal women (r\u2009=\u20090.60, 0.40, respectively)/men (r\u2009=\u20090.33, 0.53, respectively). Comparing metabolite ratios, proportionally higher concentrations of 16-pathway metabolites were measured in urine versus serum across sex/menopausal status groups (e.g., postmenopausal women: 50.3% 16-pathway metabolites/total in urine versus 35.3% in serum).\nCONCLUSIONS: There is strong agreement between estrogen/estrogen metabolites measurements in serum, heparin plasma, and EDTA plasma. Individual estrogen metabolite concentrations were moderately correlated between urine and serum, but were not well correlated when evaluating pathway- or relative estrogen concentrations. Differences between serum and urine are likely explained by differences in metabolism and/or excretion.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10552-018-1105-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2724385", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1100917", 
        "issn": [
          "0957-5243", 
          "1573-7225"
        ], 
        "name": "Cancer Causes & Control", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Comparability of serum, plasma, and urinary estrogen and estrogen metabolite measurements by sex and menopausal status", 
    "pagination": "75-86", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b1741acd8264ae74b3fe6281a1cc02504ed7372f0b99951fa9445479e940bf87"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30506492"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100846"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10552-018-1105-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110333219"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10552-018-1105-1", 
      "https://app.dimensions.ai/details/publication/pub.1110333219"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:17", 
    "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/v90/0000000372_0000000372/records_117091_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10552-018-1105-1"
  }
]
 

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/s10552-018-1105-1'

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/s10552-018-1105-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10552-018-1105-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10552-018-1105-1'


 

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

284 TRIPLES      21 PREDICATES      75 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10552-018-1105-1 schema:about N0419950594e84b968ccf3575d599c14b
2 N349757026e8c4f988164dfc06e8ba620
3 N4b4c0ffe9e114b94817f803db74c5417
4 N5e95d11fcf124f119f10fec46e5e3f9e
5 N7b5b1e75f357457e933b32402e7debed
6 N7f83aaa49cc54b72aad7f7c849ce12aa
7 N87bbfebea3864fcf9e67831e7b5bcd28
8 N995c5c879da8421ca9e2a75e4c2f3bd8
9 N9d0fab3ceb074c0d850f32565b7153f1
10 Nab9ae8a4477c4ea1ac270a85b001ee3c
11 Ndae125c2a7174150b7a2ff17673423bb
12 Ne1293a9e0c7e42998a99a01cf950ddaf
13 Nff523d8fad884723ac52cd0e4bc70ed1
14 anzsrc-for:11
15 anzsrc-for:1103
16 schema:author Nbd8995002fc34045a80a5d02ab6975af
17 schema:citation sg:pub.10.1007/bf02211727
18 sg:pub.10.1038/nprot.2007.176
19 sg:pub.10.1186/bcr3394
20 https://app.dimensions.ai/details/publication/pub.1078166454
21 https://app.dimensions.ai/details/publication/pub.1078724256
22 https://app.dimensions.ai/details/publication/pub.1079536999
23 https://app.dimensions.ai/details/publication/pub.1081961074
24 https://app.dimensions.ai/details/publication/pub.1082209068
25 https://app.dimensions.ai/details/publication/pub.1082739693
26 https://doi.org/10.1016/0002-9378(80)91125-4
27 https://doi.org/10.1016/0022-4731(82)90038-3
28 https://doi.org/10.1016/0039-128x(79)90036-9
29 https://doi.org/10.1016/0039-128x(94)90029-9
30 https://doi.org/10.1016/0890-6238(92)90002-b
31 https://doi.org/10.1016/j.ecl.2011.05.002
32 https://doi.org/10.1016/j.steroids.2007.05.003
33 https://doi.org/10.1016/j.steroids.2014.12.013
34 https://doi.org/10.1016/s0039-128x(98)00041-5
35 https://doi.org/10.1016/s0140-6736(14)61687-1
36 https://doi.org/10.1021/ac050697c
37 https://doi.org/10.1021/ac070494j
38 https://doi.org/10.1021/bi00201a008
39 https://doi.org/10.1080/135475000424393
40 https://doi.org/10.1093/jnci/94.8.606
41 https://doi.org/10.1093/jnci/djj376
42 https://doi.org/10.1111/j.1749-6632.1994.tb30418.x
43 https://doi.org/10.1158/0008-5472.can-16-1717
44 https://doi.org/10.1158/1055-9965.epi-08-0355
45 https://doi.org/10.1373/49.7.1139
46 https://doi.org/10.1387/ijdb.130015fg
47 https://doi.org/10.1530/acta.0.0970251
48 https://doi.org/10.1677/erc-07-0064
49 https://doi.org/10.2217/bmm.15.10
50 schema:datePublished 2019-01
51 schema:datePublishedReg 2019-01-01
52 schema:description PURPOSE: The comparability between serum, plasma, and urinary measurements of estrogen metabolites via liquid chromatography-tandem mass spectrometry (LC-MS/MS) has not been largely explored, and it is unclear if urinary LC-MS/MS measurements are suitable surrogates of circulating levels. METHODS: Serum, plasma (EDTA and heparin), and urinary estrogen/estrogen metabolite levels were measured via LC-MS/MS in paired samples from 64 healthy volunteers (18 men, 20 premenopausal women, 26 postmenopausal women). Geometric means and Spearman correlation coefficients were used to compare individual and combined pathway levels of estrogens/estrogen metabolites across biologic matrices by sex/menopausal status. RESULTS: Measured concentrations of estrogens/estrogen metabolites across blood matrices were almost identical (percent differences < 4.8%). Parent estrogen concentrations measured in serum and urine were moderately correlated in postmenopausal women (estrone: r = 0.69, estradiol: r = 0.69). Correlations were similar comparing unconjugated serum estradiol to urinary estrone (r = 0.76) and urinary estradiol (r = 0.65) in postmenopausal women but were moderate to low in premenopausal women (r = 0.60, 0.40, respectively)/men (r = 0.33, 0.53, respectively). Comparing metabolite ratios, proportionally higher concentrations of 16-pathway metabolites were measured in urine versus serum across sex/menopausal status groups (e.g., postmenopausal women: 50.3% 16-pathway metabolites/total in urine versus 35.3% in serum). CONCLUSIONS: There is strong agreement between estrogen/estrogen metabolites measurements in serum, heparin plasma, and EDTA plasma. Individual estrogen metabolite concentrations were moderately correlated between urine and serum, but were not well correlated when evaluating pathway- or relative estrogen concentrations. Differences between serum and urine are likely explained by differences in metabolism and/or excretion.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree false
56 schema:isPartOf N6eb8c5ab468d4454b6ee0967b1d651a9
57 Nbeada9d7187e4c12ad784a405a4d2bcb
58 sg:journal.1100917
59 schema:name Comparability of serum, plasma, and urinary estrogen and estrogen metabolite measurements by sex and menopausal status
60 schema:pagination 75-86
61 schema:productId N09cf002f20a0479db58231777c9ac0ed
62 N2175961bdf1f416b92f1c7f9b659da56
63 N5879c8ae38bb4239a7e4bd9702da890c
64 N9ba46297209341ab8ff4ea3dacee1cfe
65 Nd1d2f412f65e4cd8a3ac6a5e979b2b8d
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110333219
67 https://doi.org/10.1007/s10552-018-1105-1
68 schema:sdDatePublished 2019-04-11T14:17
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher Nc5de4365c2994e45a41727880b8fa16e
71 schema:url https://link.springer.com/10.1007%2Fs10552-018-1105-1
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N005e6299d1f949d996ade86905cffb47 rdf:first sg:person.012357675257.04
76 rdf:rest N55529c7284914ca887a4c4bf19f538c5
77 N0419950594e84b968ccf3575d599c14b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Estrone
79 rdf:type schema:DefinedTerm
80 N09cf002f20a0479db58231777c9ac0ed schema:name nlm_unique_id
81 schema:value 9100846
82 rdf:type schema:PropertyValue
83 N2175961bdf1f416b92f1c7f9b659da56 schema:name dimensions_id
84 schema:value pub.1110333219
85 rdf:type schema:PropertyValue
86 N349757026e8c4f988164dfc06e8ba620 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Middle Aged
88 rdf:type schema:DefinedTerm
89 N3ae871177ce84f64b2b1b62d51dc9f80 rdf:first sg:person.01234340325.49
90 rdf:rest N974bc98124f5481f809370c449d9e4de
91 N4b4c0ffe9e114b94817f803db74c5417 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Adult
93 rdf:type schema:DefinedTerm
94 N55529c7284914ca887a4c4bf19f538c5 rdf:first sg:person.0677052347.29
95 rdf:rest N3ae871177ce84f64b2b1b62d51dc9f80
96 N5879c8ae38bb4239a7e4bd9702da890c schema:name readcube_id
97 schema:value b1741acd8264ae74b3fe6281a1cc02504ed7372f0b99951fa9445479e940bf87
98 rdf:type schema:PropertyValue
99 N5e95d11fcf124f119f10fec46e5e3f9e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Aged
101 rdf:type schema:DefinedTerm
102 N6eb8c5ab468d4454b6ee0967b1d651a9 schema:issueNumber 1
103 rdf:type schema:PublicationIssue
104 N7b5b1e75f357457e933b32402e7debed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Premenopause
106 rdf:type schema:DefinedTerm
107 N7f83aaa49cc54b72aad7f7c849ce12aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Female
109 rdf:type schema:DefinedTerm
110 N87bbfebea3864fcf9e67831e7b5bcd28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Humans
112 rdf:type schema:DefinedTerm
113 N974bc98124f5481f809370c449d9e4de rdf:first sg:person.01263622305.88
114 rdf:rest Nb4065e9eaa5644f5a9ab1b3c97c8615f
115 N995c5c879da8421ca9e2a75e4c2f3bd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Male
117 rdf:type schema:DefinedTerm
118 N9ba46297209341ab8ff4ea3dacee1cfe schema:name doi
119 schema:value 10.1007/s10552-018-1105-1
120 rdf:type schema:PropertyValue
121 N9d0fab3ceb074c0d850f32565b7153f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Tandem Mass Spectrometry
123 rdf:type schema:DefinedTerm
124 Nab9ae8a4477c4ea1ac270a85b001ee3c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Estradiol
126 rdf:type schema:DefinedTerm
127 Nb4065e9eaa5644f5a9ab1b3c97c8615f rdf:first sg:person.015104331537.92
128 rdf:rest Nc489c83aac70497287ec1341bfffe94f
129 Nbd8995002fc34045a80a5d02ab6975af rdf:first sg:person.016216134235.00
130 rdf:rest N005e6299d1f949d996ade86905cffb47
131 Nbeada9d7187e4c12ad784a405a4d2bcb schema:volumeNumber 30
132 rdf:type schema:PublicationVolume
133 Nc489c83aac70497287ec1341bfffe94f rdf:first sg:person.0655774537.21
134 rdf:rest Ne5dc69c32e65441693b585ee504a5450
135 Nc5de4365c2994e45a41727880b8fa16e schema:name Springer Nature - SN SciGraph project
136 rdf:type schema:Organization
137 Ncf62eeebd7834dec8111f425390187e2 rdf:first sg:person.0633677423.18
138 rdf:rest rdf:nil
139 Nd1d2f412f65e4cd8a3ac6a5e979b2b8d schema:name pubmed_id
140 schema:value 30506492
141 rdf:type schema:PropertyValue
142 Ndae125c2a7174150b7a2ff17673423bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Postmenopause
144 rdf:type schema:DefinedTerm
145 Ne1293a9e0c7e42998a99a01cf950ddaf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Chromatography, Liquid
147 rdf:type schema:DefinedTerm
148 Ne5dc69c32e65441693b585ee504a5450 rdf:first sg:person.0675356476.75
149 rdf:rest Ncf62eeebd7834dec8111f425390187e2
150 Nff523d8fad884723ac52cd0e4bc70ed1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Estrogens
152 rdf:type schema:DefinedTerm
153 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
154 schema:name Medical and Health Sciences
155 rdf:type schema:DefinedTerm
156 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
157 schema:name Clinical Sciences
158 rdf:type schema:DefinedTerm
159 sg:grant.2724385 http://pending.schema.org/fundedItem sg:pub.10.1007/s10552-018-1105-1
160 rdf:type schema:MonetaryGrant
161 sg:journal.1100917 schema:issn 0957-5243
162 1573-7225
163 schema:name Cancer Causes & Control
164 rdf:type schema:Periodical
165 sg:person.01234340325.49 schema:affiliation https://www.grid.ac/institutes/grid.420086.8
166 schema:familyName McGlynn
167 schema:givenName Katherine A.
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234340325.49
169 rdf:type schema:Person
170 sg:person.012357675257.04 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
171 schema:familyName Stanczyk
172 schema:givenName Frank Z.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012357675257.04
174 rdf:type schema:Person
175 sg:person.01263622305.88 schema:affiliation https://www.grid.ac/institutes/grid.420086.8
176 schema:familyName Brinton
177 schema:givenName Louise A.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263622305.88
179 rdf:type schema:Person
180 sg:person.015104331537.92 schema:affiliation https://www.grid.ac/institutes/grid.420086.8
181 schema:familyName Sampson
182 schema:givenName Joshua
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015104331537.92
184 rdf:type schema:Person
185 sg:person.016216134235.00 schema:affiliation https://www.grid.ac/institutes/grid.420086.8
186 schema:familyName Coburn
187 schema:givenName Sally B.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016216134235.00
189 rdf:type schema:Person
190 sg:person.0633677423.18 schema:affiliation https://www.grid.ac/institutes/grid.420086.8
191 schema:familyName Trabert
192 schema:givenName Britton
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633677423.18
194 rdf:type schema:Person
195 sg:person.0655774537.21 schema:affiliation https://www.grid.ac/institutes/grid.2515.3
196 schema:familyName Bradwin
197 schema:givenName Gary
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0655774537.21
199 rdf:type schema:Person
200 sg:person.0675356476.75 schema:affiliation https://www.grid.ac/institutes/grid.418021.e
201 schema:familyName Xu
202 schema:givenName Xia
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675356476.75
204 rdf:type schema:Person
205 sg:person.0677052347.29 schema:affiliation https://www.grid.ac/institutes/grid.420086.8
206 schema:familyName Falk
207 schema:givenName Roni T.
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677052347.29
209 rdf:type schema:Person
210 sg:pub.10.1007/bf02211727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003221596
211 https://doi.org/10.1007/bf02211727
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/nprot.2007.176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027431928
214 https://doi.org/10.1038/nprot.2007.176
215 rdf:type schema:CreativeWork
216 sg:pub.10.1186/bcr3394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022025189
217 https://doi.org/10.1186/bcr3394
218 rdf:type schema:CreativeWork
219 https://app.dimensions.ai/details/publication/pub.1078166454 schema:CreativeWork
220 https://app.dimensions.ai/details/publication/pub.1078724256 schema:CreativeWork
221 https://app.dimensions.ai/details/publication/pub.1079536999 schema:CreativeWork
222 https://app.dimensions.ai/details/publication/pub.1081961074 schema:CreativeWork
223 https://app.dimensions.ai/details/publication/pub.1082209068 schema:CreativeWork
224 https://app.dimensions.ai/details/publication/pub.1082739693 schema:CreativeWork
225 https://doi.org/10.1016/0002-9378(80)91125-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022904129
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/0022-4731(82)90038-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037023891
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/0039-128x(79)90036-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013843800
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/0039-128x(94)90029-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035018049
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/0890-6238(92)90002-b schema:sameAs https://app.dimensions.ai/details/publication/pub.1016463951
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/j.ecl.2011.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047654570
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/j.steroids.2007.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019982252
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.steroids.2014.12.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005003031
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/s0039-128x(98)00041-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046205031
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/s0140-6736(14)61687-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021073293
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1021/ac050697c schema:sameAs https://app.dimensions.ai/details/publication/pub.1054997083
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1021/ac070494j schema:sameAs https://app.dimensions.ai/details/publication/pub.1054999357
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1021/bi00201a008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055165006
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1080/135475000424393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058382607
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1093/jnci/94.8.606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000961106
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1093/jnci/djj376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010955308
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1111/j.1749-6632.1994.tb30418.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007757793
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1158/0008-5472.can-16-1717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063216314
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1158/1055-9965.epi-08-0355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011821104
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1373/49.7.1139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017858095
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1387/ijdb.130015fg schema:sameAs https://app.dimensions.ai/details/publication/pub.1067191470
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1530/acta.0.0970251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027185111
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1677/erc-07-0064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053251946
270 rdf:type schema:CreativeWork
271 https://doi.org/10.2217/bmm.15.10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044263192
272 rdf:type schema:CreativeWork
273 https://www.grid.ac/institutes/grid.2515.3 schema:alternateName Boston Children's Hospital
274 schema:name Department of Laboratory Medicine, Harvard Medical School and Children’s Hospital, Boston, MA, USA
275 rdf:type schema:Organization
276 https://www.grid.ac/institutes/grid.418021.e schema:alternateName Frederick National Laboratory for Cancer Research
277 schema:name Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
278 rdf:type schema:Organization
279 https://www.grid.ac/institutes/grid.420086.8 schema:alternateName National Institute of Arthritis and Musculoskeletal and Skin Diseases
280 schema:name Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
281 rdf:type schema:Organization
282 https://www.grid.ac/institutes/grid.42505.36 schema:alternateName University of Southern California
283 schema:name Departments of Obstetrics and Gynecology, and Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
284 rdf:type schema:Organization
 




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


...