Impact of visceral fat on gene expression profile in peripheral blood cells in obese Japanese subjects View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Yoshinari Obata, Norikazu Maeda, Yuya Yamada, Koji Yamamoto, Seiji Nakamura, Masaya Yamaoka, Yoshimitsu Tanaka, Shigeki Masuda, Hirofumi Nagao, Shiro Fukuda, Yuya Fujishima, Shunbun Kita, Hitoshi Nishizawa, Tohru Funahashi, Ken-ichi Matsubara, Yuji Matsuzawa, Iichiro Shimomura

ABSTRACT

BACKGROUND: Visceral fat plays a central role in the development of metabolic syndrome and atherosclerotic cardiovascular diseases. The association of visceral fat accumulation with cardio-metabolic diseases has been reported, but the impact of visceral fat on the gene expression profile in peripheral blood cells remains to be determined. The aim of this study was to determine the effects of visceral fat area (VFA) and subcutaneous fat area (SFA) on the gene expression profile in peripheral blood cells of obese subjects. METHODS: All 17 enrolled subjects were hospitalized to receive diet therapy for obesity (defined as body mass index, BMI, greater than 25 kg/m2). VFA and SFA were measured at the umbilical level by computed tomography (CT). Blood samples were subjected to gene expression profile analysis by using SurePrint G3 Human GE Microarray 8 × 60 k ver. 2.0. The correlation between various clinical parameters, including VFA and SFA, and peripheral blood gene expression levels was analyzed. RESULTS: Among the 17 subjects, 12 had normal glucose tolerance or borderline diabetes, and 5 were diagnosed with type 2 diabetes without medications [glycated hemoglobin (HbA1c); 6.3 ± 1.3%]. The mean BMI, VFA, and SFA were 30.0 ± 5.5 kg/m2, 177 ± 67 and 245 ± 131 cm2, respectively. Interestingly, VFA altered the expression of 1354 genes, including up-regulation of 307 and down-regulation of 1047, under the statistical environment that the parametric false discovery rate (FDR) was less than 0.1. However, no significant effects were noted for SFA or BMI. Gene ontology analysis showed higher prevalence of VFA-associated genes than that of SFA-associated genes, among the genes associated with inflammation, oxidative stress, immune response, lipid metabolism, and glucose metabolism. CONCLUSIONS: Accumulation of visceral fat, but not subcutaneous fat, has a significant impact on the gene expression profile in peripheral blood cells in obese Japanese subjects. More... »

PAGES

159

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12933-016-0479-1

DOI

http://dx.doi.org/10.1186/s12933-016-0479-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001065669

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27899146


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": "Adiposity", 
        "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": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computational Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Profiling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Markers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intra-Abdominal Fat", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "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": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotide Array Sequence Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Subcutaneous Fat", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Obata", 
        "givenName": "Yoshinari", 
        "id": "sg:person.0775206611.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775206611.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan", 
            "Department of Metabolism and Atherosclerosis, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maeda", 
        "givenName": "Norikazu", 
        "id": "sg:person.0744700334.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744700334.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sumitomo Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416709.d", 
          "name": [
            "Department of Endocrinology and Metabolism, Sumitomo Hospital, 5-3-20, Nakanoshima, Kita-ku, 530-0005, Osaka, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamada", 
        "givenName": "Yuya", 
        "id": "sg:person.01102271357.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102271357.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sumitomo Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416709.d", 
          "name": [
            "Department of Endocrinology and Metabolism, Sumitomo Hospital, 5-3-20, Nakanoshima, Kita-ku, 530-0005, Osaka, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamoto", 
        "givenName": "Koji", 
        "id": "sg:person.012674235564.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012674235564.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "DNA Chip Research (Japan)", 
          "id": "https://www.grid.ac/institutes/grid.452377.0", 
          "name": [
            "DNA Chip Research Inc., 1-15-1 Kaigan, Suzuebaydium 5F, Minato-ku, 105-0022, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakamura", 
        "givenName": "Seiji", 
        "id": "sg:person.0645721213.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645721213.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamaoka", 
        "givenName": "Masaya", 
        "id": "sg:person.01213046112.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213046112.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanaka", 
        "givenName": "Yoshimitsu", 
        "id": "sg:person.015141677461.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015141677461.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Masuda", 
        "givenName": "Shigeki", 
        "id": "sg:person.01324267222.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324267222.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagao", 
        "givenName": "Hirofumi", 
        "id": "sg:person.01136053331.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136053331.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukuda", 
        "givenName": "Shiro", 
        "id": "sg:person.01026100600.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026100600.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujishima", 
        "givenName": "Yuya", 
        "id": "sg:person.01261043400.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261043400.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan", 
            "Department of Metabolism and Atherosclerosis, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kita", 
        "givenName": "Shunbun", 
        "id": "sg:person.01251737324.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251737324.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishizawa", 
        "givenName": "Hitoshi", 
        "id": "sg:person.01173427666.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173427666.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan", 
            "Department of Metabolism and Atherosclerosis, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Funahashi", 
        "givenName": "Tohru", 
        "id": "sg:person.01255716307.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255716307.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "DNA Chip Research (Japan)", 
          "id": "https://www.grid.ac/institutes/grid.452377.0", 
          "name": [
            "DNA Chip Research Inc., 1-15-1 Kaigan, Suzuebaydium 5F, Minato-ku, 105-0022, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsubara", 
        "givenName": "Ken-ichi", 
        "id": "sg:person.07540607175.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07540607175.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sumitomo Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416709.d", 
          "name": [
            "Department of Endocrinology and Metabolism, Sumitomo Hospital, 5-3-20, Nakanoshima, Kita-ku, 530-0005, Osaka, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsuzawa", 
        "givenName": "Yuji", 
        "id": "sg:person.01114642675.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114642675.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimomura", 
        "givenName": "Iichiro", 
        "id": "sg:person.01364115125.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364115125.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1365-2362.1979.tb00892.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002685140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m109.000059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004013455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci25102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004145275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11552", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004952443", 
          "https://doi.org/10.1038/nature11552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0047377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006564010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncpcardio0380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007562833", 
          "https://doi.org/10.1038/ncpcardio0380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncpcardio0380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007562833", 
          "https://doi.org/10.1038/ncpcardio0380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5551/jat.7922", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008610728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ni1564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009151645", 
          "https://doi.org/10.1038/ni1564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.211.1.r99ap15283", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010381041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000099786.99623.ef", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011593270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000099786.99623.ef", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011593270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.1994.tb17336.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017177924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2012.01.139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029651612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-009-0237-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032116740", 
          "https://doi.org/10.1007/s10157-009-0237-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1507/endocrj.ej13-0207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033119238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.01141-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033849716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2040-1124.2010.00074.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036119863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2040-1124.2010.00074.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036119863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atherosclerosis.2010.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036522646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/circj.66.987", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039183049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.51.3.755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039631678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncpendmet0980", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040206503", 
          "https://doi.org/10.1038/ncpendmet0980"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/07853890.2010.526138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047681995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.diabet.2007.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049030318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nri2449", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049967279", 
          "https://doi.org/10.1038/nri2449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/biof.67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052375634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/biof.67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052375634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2013.02.096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052701098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1109951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062451618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci200525102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063416820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081876173", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "BACKGROUND: Visceral fat plays a central role in the development of metabolic syndrome and atherosclerotic cardiovascular diseases. The association of visceral fat accumulation with cardio-metabolic diseases has been reported, but the impact of visceral fat on the gene expression profile in peripheral blood cells remains to be determined. The aim of this study was to determine the effects of visceral fat area (VFA) and subcutaneous fat area (SFA) on the gene expression profile in peripheral blood cells of obese subjects.\nMETHODS: All 17 enrolled subjects were hospitalized to receive diet therapy for obesity (defined as body mass index, BMI, greater than 25\u00a0kg/m2). VFA and SFA were measured at the umbilical level by computed tomography (CT). Blood samples were subjected to gene expression profile analysis by using SurePrint G3 Human GE Microarray 8\u00a0\u00d7\u00a060\u00a0k ver. 2.0. The correlation between various clinical parameters, including VFA and SFA, and peripheral blood gene expression levels was analyzed.\nRESULTS: Among the 17 subjects, 12 had normal glucose tolerance or borderline diabetes, and 5 were diagnosed with type 2 diabetes without medications [glycated hemoglobin (HbA1c); 6.3\u00a0\u00b1\u00a01.3%]. The mean BMI, VFA, and SFA were 30.0\u00a0\u00b1\u00a05.5\u00a0kg/m2, 177\u00a0\u00b1\u00a067 and 245\u00a0\u00b1\u00a0131\u00a0cm2, respectively. Interestingly, VFA altered the expression of 1354 genes, including up-regulation of 307 and down-regulation of 1047, under the statistical environment that the parametric false discovery rate (FDR) was less than 0.1. However, no significant effects were noted for SFA or BMI. Gene ontology analysis showed higher prevalence of VFA-associated genes than that of SFA-associated genes, among the genes associated with inflammation, oxidative stress, immune response, lipid metabolism, and glucose metabolism.\nCONCLUSIONS: Accumulation of visceral fat, but not subcutaneous fat, has a significant impact on the gene expression profile in peripheral blood cells in obese Japanese subjects.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12933-016-0479-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5908220", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1031021", 
        "issn": [
          "1475-2840"
        ], 
        "name": "Cardiovascular Diabetology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Impact of visceral fat on gene expression profile in peripheral blood cells in obese Japanese subjects", 
    "pagination": "159", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0513a65ae61fcbc6e792f82d455b9ad5a5ffbcd3cfaeed8aea628cc73e3f3a6e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27899146"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101147637"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12933-016-0479-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001065669"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12933-016-0479-1", 
      "https://app.dimensions.ai/details/publication/pub.1001065669"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:24", 
    "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/v90/0000000362_0000000362/records_87097_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12933-016-0479-1"
  }
]
 

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.10.1186/s12933-016-0479-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12933-016-0479-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12933-016-0479-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12933-016-0479-1'


 

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

362 TRIPLES      21 PREDICATES      78 URIs      42 LITERALS      30 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12933-016-0479-1 schema:about N0ca4ad5d3c0247e495d5ed5986db3687
2 N19e5208540c842e8a9996d62d024dc55
3 N202e24f09aac4bffab82cdea53993d68
4 N28f0e7b54a5b4de9881b17f630233bfd
5 N4592ae6343814499914c1354e9e0e862
6 N51dfe983640d48759d8219cfba231cc1
7 N5fa14e647c65479d8525b081f180d7ee
8 N636dbe0e7a1b487aaf4be55d3607c9b7
9 N64c89707ef2e4acea61446ae59244846
10 N788da440c61940de8d681fe9284d93e0
11 N8966cb49460e4b87a03fda7b12098f70
12 N8f79f6b1661a4464b4331fd889f10c08
13 N94fa1f75c7834dd58542028ddded462f
14 Na71b67c3488049969f6ebd8a3a40f410
15 Nb90d66f0c6f84ca181934adcfd4dd45a
16 Ncaff8a3be5b2404dbfa34297e4f5d36b
17 Nd603027dad104ebcb6a191420750b36e
18 Nde9eb7f723fe4745820e3b84e7368628
19 Ne8dc0e174cbc4613980031d89801cca8
20 Neffe3987ae894c8ea76aa3e13fd9de83
21 Nfc8bac0f32a44d30b6c2e6b959fbc842
22 anzsrc-for:11
23 anzsrc-for:1103
24 schema:author N7c0fe80cebdf4ff6a18f5835b840829b
25 schema:citation sg:pub.10.1007/s10157-009-0237-8
26 sg:pub.10.1038/nature11552
27 sg:pub.10.1038/ncpcardio0380
28 sg:pub.10.1038/ncpendmet0980
29 sg:pub.10.1038/ni1564
30 sg:pub.10.1038/nri2449
31 https://app.dimensions.ai/details/publication/pub.1081876173
32 https://doi.org/10.1002/biof.67
33 https://doi.org/10.1016/j.atherosclerosis.2010.06.011
34 https://doi.org/10.1016/j.bbrc.2012.01.139
35 https://doi.org/10.1016/j.bbrc.2013.02.096
36 https://doi.org/10.1016/j.diabet.2007.06.002
37 https://doi.org/10.1074/jbc.m109.000059
38 https://doi.org/10.1111/j.1365-2362.1979.tb00892.x
39 https://doi.org/10.1111/j.1749-6632.1994.tb17336.x
40 https://doi.org/10.1111/j.2040-1124.2010.00074.x
41 https://doi.org/10.1126/science.1109951
42 https://doi.org/10.1128/mcb.01141-09
43 https://doi.org/10.1148/radiology.211.1.r99ap15283
44 https://doi.org/10.1161/01.atv.0000099786.99623.ef
45 https://doi.org/10.1172/jci200525102
46 https://doi.org/10.1172/jci25102
47 https://doi.org/10.1253/circj.66.987
48 https://doi.org/10.1371/journal.pone.0047377
49 https://doi.org/10.1507/endocrj.ej13-0207
50 https://doi.org/10.2337/diabetes.51.3.755
51 https://doi.org/10.3109/07853890.2010.526138
52 https://doi.org/10.5551/jat.7922
53 schema:datePublished 2016-12
54 schema:datePublishedReg 2016-12-01
55 schema:description BACKGROUND: Visceral fat plays a central role in the development of metabolic syndrome and atherosclerotic cardiovascular diseases. The association of visceral fat accumulation with cardio-metabolic diseases has been reported, but the impact of visceral fat on the gene expression profile in peripheral blood cells remains to be determined. The aim of this study was to determine the effects of visceral fat area (VFA) and subcutaneous fat area (SFA) on the gene expression profile in peripheral blood cells of obese subjects. METHODS: All 17 enrolled subjects were hospitalized to receive diet therapy for obesity (defined as body mass index, BMI, greater than 25 kg/m2). VFA and SFA were measured at the umbilical level by computed tomography (CT). Blood samples were subjected to gene expression profile analysis by using SurePrint G3 Human GE Microarray 8 × 60 k ver. 2.0. The correlation between various clinical parameters, including VFA and SFA, and peripheral blood gene expression levels was analyzed. RESULTS: Among the 17 subjects, 12 had normal glucose tolerance or borderline diabetes, and 5 were diagnosed with type 2 diabetes without medications [glycated hemoglobin (HbA1c); 6.3 ± 1.3%]. The mean BMI, VFA, and SFA were 30.0 ± 5.5 kg/m2, 177 ± 67 and 245 ± 131 cm2, respectively. Interestingly, VFA altered the expression of 1354 genes, including up-regulation of 307 and down-regulation of 1047, under the statistical environment that the parametric false discovery rate (FDR) was less than 0.1. However, no significant effects were noted for SFA or BMI. Gene ontology analysis showed higher prevalence of VFA-associated genes than that of SFA-associated genes, among the genes associated with inflammation, oxidative stress, immune response, lipid metabolism, and glucose metabolism. CONCLUSIONS: Accumulation of visceral fat, but not subcutaneous fat, has a significant impact on the gene expression profile in peripheral blood cells in obese Japanese subjects.
56 schema:genre research_article
57 schema:inLanguage en
58 schema:isAccessibleForFree true
59 schema:isPartOf N52b00cbefbcb4266a7c4ad57d7fff63d
60 Nb851bef3242b41058bca8261739b9f8a
61 sg:journal.1031021
62 schema:name Impact of visceral fat on gene expression profile in peripheral blood cells in obese Japanese subjects
63 schema:pagination 159
64 schema:productId N1a8acf005d4f444ea0f8ab8be6723c06
65 N1d39453dd5e944fba80defe4942e8598
66 N488d8f43232a4f0bbb6dbebfc63f6490
67 N7bcd8818da7e4d74a62551f5d85e0091
68 Nd194812acce7421baf3e24f1c7111f31
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001065669
70 https://doi.org/10.1186/s12933-016-0479-1
71 schema:sdDatePublished 2019-04-11T12:24
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher N56c5f253e0274301adf910a77ee92249
74 schema:url https://link.springer.com/10.1186%2Fs12933-016-0479-1
75 sgo:license sg:explorer/license/
76 sgo:sdDataset articles
77 rdf:type schema:ScholarlyArticle
78 N020a8bc8262449b4b3e0d1b4d8ad7866 rdf:first sg:person.01324267222.95
79 rdf:rest N18d0709e65cf4072813d506b72b2d2e8
80 N0a208fd78d5a4120b12dd60054250f16 rdf:first sg:person.01102271357.36
81 rdf:rest Nd7709f6bcc81465bb6e93b7d813ab86c
82 N0ca4ad5d3c0247e495d5ed5986db3687 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Adiposity
84 rdf:type schema:DefinedTerm
85 N0df43cc1840b4ab0ace52be89e722330 rdf:first sg:person.01255716307.12
86 rdf:rest N957396e1a9144cd8911e3cc129c2b9d4
87 N1258a31f101942cd8803cb20d7f9e0ad rdf:first sg:person.01114642675.97
88 rdf:rest N616229953730483c9867a9140858463d
89 N18d0709e65cf4072813d506b72b2d2e8 rdf:first sg:person.01136053331.08
90 rdf:rest Nd0901729aa0649e8a016d00adf93d206
91 N19e5208540c842e8a9996d62d024dc55 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Asian Continental Ancestry Group
93 rdf:type schema:DefinedTerm
94 N1a8acf005d4f444ea0f8ab8be6723c06 schema:name dimensions_id
95 schema:value pub.1001065669
96 rdf:type schema:PropertyValue
97 N1c1b83466ad3427b8497adbae4d9965c rdf:first sg:person.0645721213.62
98 rdf:rest Nea5dbd48ae5e4147b59e70478f028db6
99 N1d39453dd5e944fba80defe4942e8598 schema:name readcube_id
100 schema:value 0513a65ae61fcbc6e792f82d455b9ad5a5ffbcd3cfaeed8aea628cc73e3f3a6e
101 rdf:type schema:PropertyValue
102 N202e24f09aac4bffab82cdea53993d68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Female
104 rdf:type schema:DefinedTerm
105 N28f0e7b54a5b4de9881b17f630233bfd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Obesity
107 rdf:type schema:DefinedTerm
108 N4592ae6343814499914c1354e9e0e862 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Body Mass Index
110 rdf:type schema:DefinedTerm
111 N488d8f43232a4f0bbb6dbebfc63f6490 schema:name pubmed_id
112 schema:value 27899146
113 rdf:type schema:PropertyValue
114 N51dfe983640d48759d8219cfba231cc1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Databases, Genetic
116 rdf:type schema:DefinedTerm
117 N52b00cbefbcb4266a7c4ad57d7fff63d schema:volumeNumber 15
118 rdf:type schema:PublicationVolume
119 N56c5f253e0274301adf910a77ee92249 schema:name Springer Nature - SN SciGraph project
120 rdf:type schema:Organization
121 N5fa14e647c65479d8525b081f180d7ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name RNA
123 rdf:type schema:DefinedTerm
124 N616229953730483c9867a9140858463d rdf:first sg:person.01364115125.40
125 rdf:rest rdf:nil
126 N636dbe0e7a1b487aaf4be55d3607c9b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Intra-Abdominal Fat
128 rdf:type schema:DefinedTerm
129 N64c89707ef2e4acea61446ae59244846 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Gene Expression Regulation
131 rdf:type schema:DefinedTerm
132 N788da440c61940de8d681fe9284d93e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Humans
134 rdf:type schema:DefinedTerm
135 N7bcd8818da7e4d74a62551f5d85e0091 schema:name doi
136 schema:value 10.1186/s12933-016-0479-1
137 rdf:type schema:PropertyValue
138 N7c0fe80cebdf4ff6a18f5835b840829b rdf:first sg:person.0775206611.92
139 rdf:rest Ne118d04e7abf4a5491307a8abca62588
140 N8966cb49460e4b87a03fda7b12098f70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Computational Biology
142 rdf:type schema:DefinedTerm
143 N8f79f6b1661a4464b4331fd889f10c08 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Tomography, X-Ray Computed
145 rdf:type schema:DefinedTerm
146 N94fa1f75c7834dd58542028ddded462f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Subcutaneous Fat
148 rdf:type schema:DefinedTerm
149 N957396e1a9144cd8911e3cc129c2b9d4 rdf:first sg:person.07540607175.11
150 rdf:rest N1258a31f101942cd8803cb20d7f9e0ad
151 Na5f1d7e5792f4bab951ab7b29376f82f rdf:first sg:person.015141677461.22
152 rdf:rest N020a8bc8262449b4b3e0d1b4d8ad7866
153 Na71b67c3488049969f6ebd8a3a40f410 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Genetic Markers
155 rdf:type schema:DefinedTerm
156 Nb260ea3557df4991b8c74c44d7b9b7f3 rdf:first sg:person.01251737324.55
157 rdf:rest Nbaacbc133b1441adb9775d67145bf461
158 Nb851bef3242b41058bca8261739b9f8a schema:issueNumber 1
159 rdf:type schema:PublicationIssue
160 Nb90d66f0c6f84ca181934adcfd4dd45a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Middle Aged
162 rdf:type schema:DefinedTerm
163 Nbaacbc133b1441adb9775d67145bf461 rdf:first sg:person.01173427666.89
164 rdf:rest N0df43cc1840b4ab0ace52be89e722330
165 Ncaff8a3be5b2404dbfa34297e4f5d36b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Male
167 rdf:type schema:DefinedTerm
168 Ncb189a480b66455bbe488077e7fa4597 rdf:first sg:person.01261043400.77
169 rdf:rest Nb260ea3557df4991b8c74c44d7b9b7f3
170 Nd0901729aa0649e8a016d00adf93d206 rdf:first sg:person.01026100600.80
171 rdf:rest Ncb189a480b66455bbe488077e7fa4597
172 Nd194812acce7421baf3e24f1c7111f31 schema:name nlm_unique_id
173 schema:value 101147637
174 rdf:type schema:PropertyValue
175 Nd603027dad104ebcb6a191420750b36e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Aged
177 rdf:type schema:DefinedTerm
178 Nd7709f6bcc81465bb6e93b7d813ab86c rdf:first sg:person.012674235564.44
179 rdf:rest N1c1b83466ad3427b8497adbae4d9965c
180 Nde9eb7f723fe4745820e3b84e7368628 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Japan
182 rdf:type schema:DefinedTerm
183 Ne118d04e7abf4a5491307a8abca62588 rdf:first sg:person.0744700334.26
184 rdf:rest N0a208fd78d5a4120b12dd60054250f16
185 Ne8dc0e174cbc4613980031d89801cca8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Gene Expression Profiling
187 rdf:type schema:DefinedTerm
188 Nea5dbd48ae5e4147b59e70478f028db6 rdf:first sg:person.01213046112.98
189 rdf:rest Na5f1d7e5792f4bab951ab7b29376f82f
190 Neffe3987ae894c8ea76aa3e13fd9de83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Adult
192 rdf:type schema:DefinedTerm
193 Nfc8bac0f32a44d30b6c2e6b959fbc842 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Oligonucleotide Array Sequence Analysis
195 rdf:type schema:DefinedTerm
196 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
197 schema:name Medical and Health Sciences
198 rdf:type schema:DefinedTerm
199 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
200 schema:name Clinical Sciences
201 rdf:type schema:DefinedTerm
202 sg:grant.5908220 http://pending.schema.org/fundedItem sg:pub.10.1186/s12933-016-0479-1
203 rdf:type schema:MonetaryGrant
204 sg:journal.1031021 schema:issn 1475-2840
205 schema:name Cardiovascular Diabetology
206 rdf:type schema:Periodical
207 sg:person.01026100600.80 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
208 schema:familyName Fukuda
209 schema:givenName Shiro
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026100600.80
211 rdf:type schema:Person
212 sg:person.01102271357.36 schema:affiliation https://www.grid.ac/institutes/grid.416709.d
213 schema:familyName Yamada
214 schema:givenName Yuya
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102271357.36
216 rdf:type schema:Person
217 sg:person.01114642675.97 schema:affiliation https://www.grid.ac/institutes/grid.416709.d
218 schema:familyName Matsuzawa
219 schema:givenName Yuji
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114642675.97
221 rdf:type schema:Person
222 sg:person.01136053331.08 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
223 schema:familyName Nagao
224 schema:givenName Hirofumi
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136053331.08
226 rdf:type schema:Person
227 sg:person.01173427666.89 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
228 schema:familyName Nishizawa
229 schema:givenName Hitoshi
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173427666.89
231 rdf:type schema:Person
232 sg:person.01213046112.98 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
233 schema:familyName Yamaoka
234 schema:givenName Masaya
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213046112.98
236 rdf:type schema:Person
237 sg:person.01251737324.55 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
238 schema:familyName Kita
239 schema:givenName Shunbun
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251737324.55
241 rdf:type schema:Person
242 sg:person.01255716307.12 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
243 schema:familyName Funahashi
244 schema:givenName Tohru
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255716307.12
246 rdf:type schema:Person
247 sg:person.01261043400.77 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
248 schema:familyName Fujishima
249 schema:givenName Yuya
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261043400.77
251 rdf:type schema:Person
252 sg:person.012674235564.44 schema:affiliation https://www.grid.ac/institutes/grid.416709.d
253 schema:familyName Yamamoto
254 schema:givenName Koji
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012674235564.44
256 rdf:type schema:Person
257 sg:person.01324267222.95 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
258 schema:familyName Masuda
259 schema:givenName Shigeki
260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324267222.95
261 rdf:type schema:Person
262 sg:person.01364115125.40 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
263 schema:familyName Shimomura
264 schema:givenName Iichiro
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364115125.40
266 rdf:type schema:Person
267 sg:person.015141677461.22 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
268 schema:familyName Tanaka
269 schema:givenName Yoshimitsu
270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015141677461.22
271 rdf:type schema:Person
272 sg:person.0645721213.62 schema:affiliation https://www.grid.ac/institutes/grid.452377.0
273 schema:familyName Nakamura
274 schema:givenName Seiji
275 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645721213.62
276 rdf:type schema:Person
277 sg:person.0744700334.26 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
278 schema:familyName Maeda
279 schema:givenName Norikazu
280 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744700334.26
281 rdf:type schema:Person
282 sg:person.07540607175.11 schema:affiliation https://www.grid.ac/institutes/grid.452377.0
283 schema:familyName Matsubara
284 schema:givenName Ken-ichi
285 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07540607175.11
286 rdf:type schema:Person
287 sg:person.0775206611.92 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
288 schema:familyName Obata
289 schema:givenName Yoshinari
290 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775206611.92
291 rdf:type schema:Person
292 sg:pub.10.1007/s10157-009-0237-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032116740
293 https://doi.org/10.1007/s10157-009-0237-8
294 rdf:type schema:CreativeWork
295 sg:pub.10.1038/nature11552 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004952443
296 https://doi.org/10.1038/nature11552
297 rdf:type schema:CreativeWork
298 sg:pub.10.1038/ncpcardio0380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007562833
299 https://doi.org/10.1038/ncpcardio0380
300 rdf:type schema:CreativeWork
301 sg:pub.10.1038/ncpendmet0980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040206503
302 https://doi.org/10.1038/ncpendmet0980
303 rdf:type schema:CreativeWork
304 sg:pub.10.1038/ni1564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009151645
305 https://doi.org/10.1038/ni1564
306 rdf:type schema:CreativeWork
307 sg:pub.10.1038/nri2449 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049967279
308 https://doi.org/10.1038/nri2449
309 rdf:type schema:CreativeWork
310 https://app.dimensions.ai/details/publication/pub.1081876173 schema:CreativeWork
311 https://doi.org/10.1002/biof.67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052375634
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1016/j.atherosclerosis.2010.06.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036522646
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1016/j.bbrc.2012.01.139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029651612
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1016/j.bbrc.2013.02.096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052701098
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1016/j.diabet.2007.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049030318
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1074/jbc.m109.000059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004013455
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1111/j.1365-2362.1979.tb00892.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002685140
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1111/j.1749-6632.1994.tb17336.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017177924
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1111/j.2040-1124.2010.00074.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036119863
328 rdf:type schema:CreativeWork
329 https://doi.org/10.1126/science.1109951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062451618
330 rdf:type schema:CreativeWork
331 https://doi.org/10.1128/mcb.01141-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033849716
332 rdf:type schema:CreativeWork
333 https://doi.org/10.1148/radiology.211.1.r99ap15283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010381041
334 rdf:type schema:CreativeWork
335 https://doi.org/10.1161/01.atv.0000099786.99623.ef schema:sameAs https://app.dimensions.ai/details/publication/pub.1011593270
336 rdf:type schema:CreativeWork
337 https://doi.org/10.1172/jci200525102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063416820
338 rdf:type schema:CreativeWork
339 https://doi.org/10.1172/jci25102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004145275
340 rdf:type schema:CreativeWork
341 https://doi.org/10.1253/circj.66.987 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039183049
342 rdf:type schema:CreativeWork
343 https://doi.org/10.1371/journal.pone.0047377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006564010
344 rdf:type schema:CreativeWork
345 https://doi.org/10.1507/endocrj.ej13-0207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033119238
346 rdf:type schema:CreativeWork
347 https://doi.org/10.2337/diabetes.51.3.755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039631678
348 rdf:type schema:CreativeWork
349 https://doi.org/10.3109/07853890.2010.526138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047681995
350 rdf:type schema:CreativeWork
351 https://doi.org/10.5551/jat.7922 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008610728
352 rdf:type schema:CreativeWork
353 https://www.grid.ac/institutes/grid.136593.b schema:alternateName Osaka University
354 schema:name Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan
355 Department of Metabolism and Atherosclerosis, Graduate School of Medicine, Osaka University, 2-2-B5 Yamada-oka, 565-0871, Suita, Osaka, Japan
356 rdf:type schema:Organization
357 https://www.grid.ac/institutes/grid.416709.d schema:alternateName Sumitomo Hospital
358 schema:name Department of Endocrinology and Metabolism, Sumitomo Hospital, 5-3-20, Nakanoshima, Kita-ku, 530-0005, Osaka, Osaka, Japan
359 rdf:type schema:Organization
360 https://www.grid.ac/institutes/grid.452377.0 schema:alternateName DNA Chip Research (Japan)
361 schema:name DNA Chip Research Inc., 1-15-1 Kaigan, Suzuebaydium 5F, Minato-ku, 105-0022, Tokyo, Japan
362 rdf:type schema:Organization
 




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


...