Aberrant intestinal microbiota in individuals with prediabetes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-04

AUTHORS

Kristine H. Allin, Valentina Tremaroli, Robert Caesar, Benjamin A. H. Jensen, Mads T. F. Damgaard, Martin I. Bahl, Tine R. Licht, Tue H. Hansen, Trine Nielsen, Thomas M. Dantoft, Allan Linneberg, Torben Jørgensen, Henrik Vestergaard, Karsten Kristiansen, Paul W. Franks, the IMI-DIRECT consortium, Torben Hansen, Fredrik Bäckhed, Oluf Pedersen

ABSTRACT

AIMS/HYPOTHESIS: Individuals with type 2 diabetes have aberrant intestinal microbiota. However, recent studies suggest that metformin alters the composition and functional potential of gut microbiota, thereby interfering with the diabetes-related microbial signatures. We tested whether specific gut microbiota profiles are associated with prediabetes (defined as fasting plasma glucose of 6.1-7.0 mmol/l or HbA1c of 42-48 mmol/mol [6.0-6.5%]) and a range of clinical biomarkers of poor metabolic health. METHODS: In the present case-control study, we analysed the gut microbiota of 134 Danish adults with prediabetes, overweight, insulin resistance, dyslipidaemia and low-grade inflammation and 134 age- and sex-matched individuals with normal glucose regulation. RESULTS: We found that five bacterial genera and 36 operational taxonomic units (OTUs) were differentially abundant between individuals with prediabetes and those with normal glucose regulation. At the genus level, the abundance of Clostridium was decreased (mean log2 fold change -0.64 (SEM 0.23), p adj = 0.0497), whereas the abundances of Dorea, [Ruminococcus], Sutterella and Streptococcus were increased (mean log2 fold change 0.51 (SEM 0.12), p adj = 5 × 10-4; 0.51 (SEM 0.11), p adj = 1 × 10-4; 0.60 (SEM 0.21), p adj = 0.0497; and 0.92 (SEM 0.21), p adj = 4 × 10-4, respectively). The two OTUs that differed the most were a member of the order Clostridiales (OTU 146564) and Akkermansia muciniphila, which both displayed lower abundance among individuals with prediabetes (mean log2 fold change -1.74 (SEM 0.41), p adj = 2 × 10-3 and -1.65 (SEM 0.34), p adj = 4 × 10-4, respectively). Faecal transfer from donors with prediabetes or screen-detected, drug-naive type 2 diabetes to germfree Swiss Webster or conventional C57BL/6 J mice did not induce impaired glucose regulation in recipient mice. CONCLUSIONS/INTERPRETATION: Collectively, our data show that individuals with prediabetes have aberrant intestinal microbiota characterised by a decreased abundance of the genus Clostridium and the mucin-degrading bacterium A. muciniphila. Our findings are comparable to observations in overt chronic diseases characterised by low-grade inflammation. More... »

PAGES

1-11

References to SciGraph publications

  • 2012-09-26. A metagenome-wide association study of gut microbiota in type 2 diabetes in NATURE
  • 2017-02. Role of gut microbiota in atherosclerosis in NATURE REVIEWS CARDIOLOGY
  • 2017-12. Relationships between gut microbiota, plasma metabolites, and metabolic syndrome traits in the METSIM cohort in GENOME BIOLOGY
  • 2017-01. A purified membrane protein from Akkermansia muciniphila or the pasteurized bacterium improves metabolism in obese and diabetic mice in NATURE MEDICINE
  • 2013-06. Gut metagenome in European women with normal, impaired and diabetic glucose control in NATURE
  • 2015-12. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota in NATURE
  • 2017-03. Environmental spread of microbes impacts the development of metabolic phenotypes in mice transplanted with microbial communities from humans in THE ISME JOURNAL
  • 2014-12. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 in GENOME BIOLOGY
  • 2013-08. Richness of human gut microbiome correlates with metabolic markers in NATURE
  • 2010-11. Mucolytic Bacteria With Increased Prevalence in IBD Mucosa Augment In Vitro Utilization of Mucin by Other Bacteria in THE AMERICAN JOURNAL OF GASTROENTEROLOGY
  • 2010-05. QIIME allows analysis of high-throughput community sequencing data in NATURE METHODS
  • 2017-07. Gut microbiome and serum metabolome alterations in obesity and after weight-loss intervention in NATURE MEDICINE
  • 2017-07. Metformin alters the gut microbiome of individuals with treatment-naive type 2 diabetes, contributing to the therapeutic effects of the drug in NATURE MEDICINE
  • 2014-06. Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: rationale and design of the epidemiological studies within the IMI DIRECT Consortium in DIABETOLOGIA
  • 2012-12. Unbalance of intestinal microbiota in atopic children in BMC MICROBIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00125-018-4550-1

    DOI

    http://dx.doi.org/10.1007/s00125-018-4550-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1100691175

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29379988


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

    JSON-LD is the canonical representation for SciGraph data.

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

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Bispebjerg Hospital", 
              "id": "https://www.grid.ac/institutes/grid.411702.1", 
              "name": [
                "Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark", 
                "Department of Clinical Epidemiology, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Allin", 
            "givenName": "Kristine H.", 
            "id": "sg:person.0725716246.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725716246.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Gothenburg", 
              "id": "https://www.grid.ac/institutes/grid.8761.8", 
              "name": [
                "Wallenberg Laboratory, Department of Molecular and Clinical Medicine, University of Gothenburg, SE-413 45, Gothenburg, Sweden", 
                "Sahlgrenska Center for Cardiovascular and Metabolic Research, University of Gothenburg, Gothenburg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tremaroli", 
            "givenName": "Valentina", 
            "id": "sg:person.01140733741.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140733741.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Gothenburg", 
              "id": "https://www.grid.ac/institutes/grid.8761.8", 
              "name": [
                "Wallenberg Laboratory, Department of Molecular and Clinical Medicine, University of Gothenburg, SE-413 45, Gothenburg, Sweden", 
                "Sahlgrenska Center for Cardiovascular and Metabolic Research, University of Gothenburg, Gothenburg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Caesar", 
            "givenName": "Robert", 
            "id": "sg:person.01023742102.93", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023742102.93"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Copenhagen", 
              "id": "https://www.grid.ac/institutes/grid.5254.6", 
              "name": [
                "Laboratory of Genomics and Molecular Biomedicine, Department of Biology, Faculty of Science, University of Copenhagen, Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jensen", 
            "givenName": "Benjamin A. H.", 
            "id": "sg:person.01223053025.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223053025.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Copenhagen", 
              "id": "https://www.grid.ac/institutes/grid.5254.6", 
              "name": [
                "Laboratory of Genomics and Molecular Biomedicine, Department of Biology, Faculty of Science, University of Copenhagen, Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Damgaard", 
            "givenName": "Mads T. F.", 
            "id": "sg:person.013055135711.69", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013055135711.69"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Denmark", 
              "id": "https://www.grid.ac/institutes/grid.5170.3", 
              "name": [
                "National Food Institute, Technical University of Denmark, Lyngby, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bahl", 
            "givenName": "Martin I.", 
            "id": "sg:person.01221157743.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221157743.99"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Denmark", 
              "id": "https://www.grid.ac/institutes/grid.5170.3", 
              "name": [
                "National Food Institute, Technical University of Denmark, Lyngby, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Licht", 
            "givenName": "Tine R.", 
            "id": "sg:person.01206761163.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206761163.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Copenhagen", 
              "id": "https://www.grid.ac/institutes/grid.5254.6", 
              "name": [
                "Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hansen", 
            "givenName": "Tue H.", 
            "id": "sg:person.014046204442.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014046204442.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Copenhagen", 
              "id": "https://www.grid.ac/institutes/grid.5254.6", 
              "name": [
                "Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nielsen", 
            "givenName": "Trine", 
            "id": "sg:person.01357707137.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357707137.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Research Centre for Prevention and Health, the Capital Region of Denmark, Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dantoft", 
            "givenName": "Thomas M.", 
            "id": "sg:person.0603656721.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603656721.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Rigshospitalet", 
              "id": "https://www.grid.ac/institutes/grid.475435.4", 
              "name": [
                "Research Centre for Prevention and Health, the Capital Region of Denmark, Copenhagen, Denmark", 
                "Department of Clinical Experimental Research, Rigshospitalet, Glostrup, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Linneberg", 
            "givenName": "Allan", 
            "id": "sg:person.0637662640.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637662640.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Aalborg University", 
              "id": "https://www.grid.ac/institutes/grid.5117.2", 
              "name": [
                "Research Centre for Prevention and Health, the Capital Region of Denmark, Copenhagen, Denmark", 
                "Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark", 
                "Faculty of Medicine, Aalborg University, Aalborg, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "J\u00f8rgensen", 
            "givenName": "Torben", 
            "id": "sg:person.01002106575.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002106575.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Steno Diabetes Center", 
              "id": "https://www.grid.ac/institutes/grid.419658.7", 
              "name": [
                "Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark", 
                "Steno Diabetes Center Copenhagen, Gentofte, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vestergaard", 
            "givenName": "Henrik", 
            "id": "sg:person.01142244720.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142244720.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Copenhagen", 
              "id": "https://www.grid.ac/institutes/grid.5254.6", 
              "name": [
                "Laboratory of Genomics and Molecular Biomedicine, Department of Biology, Faculty of Science, University of Copenhagen, Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kristiansen", 
            "givenName": "Karsten", 
            "id": "sg:person.0640342427.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640342427.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harvard University", 
              "id": "https://www.grid.ac/institutes/grid.38142.3c", 
              "name": [
                "Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malm\u00f6, Sweden", 
                "Department of Public Health and Clinical Medicine, Ume\u00e5 University, Ume\u00e5, Sweden", 
                "Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Franks", 
            "givenName": "Paul W.", 
            "id": "sg:person.01106432311.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106432311.84"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "the IMI-DIRECT consortium", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Southern Denmark", 
              "id": "https://www.grid.ac/institutes/grid.10825.3e", 
              "name": [
                "Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark", 
                "Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hansen", 
            "givenName": "Torben", 
            "id": "sg:person.016350427407.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016350427407.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Copenhagen", 
              "id": "https://www.grid.ac/institutes/grid.5254.6", 
              "name": [
                "Wallenberg Laboratory, Department of Molecular and Clinical Medicine, University of Gothenburg, SE-413 45, Gothenburg, Sweden", 
                "Sahlgrenska Center for Cardiovascular and Metabolic Research, University of Gothenburg, Gothenburg, Sweden", 
                "Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Receptology and Enteroendocrinology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "B\u00e4ckhed", 
            "givenName": "Fredrik", 
            "id": "sg:person.01042304665.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042304665.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Aarhus University", 
              "id": "https://www.grid.ac/institutes/grid.7048.b", 
              "name": [
                "Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark", 
                "Faculty of Health Sciences, University of Aarhus, Aarhus, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pedersen", 
            "givenName": "Oluf", 
            "id": "sg:person.0765447455.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765447455.52"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature12198", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002791386", 
              "https://doi.org/10.1038/nature12198"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature12506", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003823032", 
              "https://doi.org/10.1038/nature12506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11450", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004546178", 
              "https://doi.org/10.1038/nature11450"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmra0906948", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005376580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.f.303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009032055", 
              "https://doi.org/10.1038/nmeth.f.303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.f.303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009032055", 
              "https://doi.org/10.1038/nmeth.f.303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2337/dc13-s011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009253995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.chom.2015.04.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009351625"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/gutjnl-2012-303839", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009561639"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt593", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010435278"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3945/ajcn.112.046607", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010642491"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2012.04.037", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011085746"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.4236", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011574767", 
              "https://doi.org/10.1038/nm.4236"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cmet.2015.07.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012515581"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00125-014-3216-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012557304", 
              "https://doi.org/10.1007/s00125-014-3216-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00125-014-3216-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012557304", 
              "https://doi.org/10.1007/s00125-014-3216-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature15766", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014535385", 
              "https://doi.org/10.1038/nature15766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature15766", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014535385", 
              "https://doi.org/10.1038/nature15766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0550-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015222646", 
              "https://doi.org/10.1186/s13059-014-0550-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0550-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015222646", 
              "https://doi.org/10.1186/s13059-014-0550-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2016.151", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017331773", 
              "https://doi.org/10.1038/ismej.2016.151"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0009085", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017487904"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2180-12-95", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023015889", 
              "https://doi.org/10.1186/1471-2180-12-95"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0071108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027638213"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1464-5491.2012.03762.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027829392"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.01043-13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028950079"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmra1600266", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031179754"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034512291"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1442-9993.2001.01070.pp.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044499388"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrcardio.2016.183", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045330605", 
              "https://doi.org/10.1038/nrcardio.2016.183"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(12)60283-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048030299"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.1003531", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048123102"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1219451110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049139299"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2337/dc13-2817", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051706700"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ajg.2010.281", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051734110", 
              "https://doi.org/10.1038/ajg.2010.281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ajg.2010.281", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051734110", 
              "https://doi.org/10.1038/ajg.2010.281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1194/jlr.m072819", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064192944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2337/dc16-1324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070730310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2337/dc16-1324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070730310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2147/clep.s129335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084386296"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-017-1194-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084807339", 
              "https://doi.org/10.1186/s13059-017-1194-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-017-1194-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084807339", 
              "https://doi.org/10.1186/s13059-017-1194-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.4345", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085459595", 
              "https://doi.org/10.1038/nm.4345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.4345", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085459595", 
              "https://doi.org/10.1038/nm.4345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.4358", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086072554", 
              "https://doi.org/10.1038/nm.4358"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.4358", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086072554", 
              "https://doi.org/10.1038/nm.4358"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jnutbio.2017.09.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092296532"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/2347111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101981819"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/2347111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101981819"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-04", 
        "datePublishedReg": "2018-04-01", 
        "description": "AIMS/HYPOTHESIS: Individuals with type 2 diabetes have aberrant intestinal microbiota. However, recent studies suggest that metformin alters the composition and functional potential of gut microbiota, thereby interfering with the diabetes-related microbial signatures. We tested whether specific gut microbiota profiles are associated with prediabetes (defined as fasting plasma glucose of 6.1-7.0\u00a0mmol/l or HbA1c of 42-48\u00a0mmol/mol [6.0-6.5%]) and a range of clinical biomarkers of poor metabolic health.\nMETHODS: In the present case-control study, we analysed the gut microbiota of 134 Danish adults with prediabetes, overweight, insulin resistance, dyslipidaemia and low-grade inflammation and 134 age- and sex-matched individuals with normal glucose regulation.\nRESULTS: We found that five bacterial genera and 36 operational taxonomic units (OTUs) were differentially abundant between individuals with prediabetes and those with normal glucose regulation. At the genus level, the abundance of Clostridium was decreased (mean log2 fold change -0.64 (SEM 0.23), p adj \u2009=\u20090.0497), whereas the abundances of Dorea, [Ruminococcus], Sutterella and Streptococcus were increased (mean log2 fold change 0.51 (SEM 0.12), p adj \u2009=\u20095\u2009\u00d7\u200910-4; 0.51 (SEM 0.11), p adj \u2009=\u20091\u2009\u00d7\u200910-4; 0.60 (SEM 0.21), p adj \u2009=\u20090.0497; and 0.92 (SEM 0.21), p adj \u2009=\u20094\u2009\u00d7\u200910-4, respectively). The two OTUs that differed the most were a member of the order Clostridiales (OTU 146564) and Akkermansia muciniphila, which both displayed lower abundance among individuals with prediabetes (mean log2 fold change -1.74 (SEM 0.41), p adj \u2009=\u20092\u2009\u00d7\u200910-3 and -1.65 (SEM 0.34), p adj \u2009=\u20094\u2009\u00d7\u200910-4, respectively). Faecal transfer from donors with prediabetes or screen-detected, drug-naive type 2 diabetes to germfree Swiss Webster or conventional C57BL/6\u00a0J mice did not induce impaired glucose regulation in recipient mice.\nCONCLUSIONS/INTERPRETATION: Collectively, our data show that individuals with prediabetes have aberrant intestinal microbiota characterised by a decreased abundance of the genus Clostridium and the mucin-degrading bacterium A. muciniphila. Our findings are comparable to observations in overt chronic diseases characterised by low-grade inflammation.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00125-018-4550-1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1001482", 
            "issn": [
              "0012-186X", 
              "1432-0428"
            ], 
            "name": "Diabetologia", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "61"
          }
        ], 
        "name": "Aberrant intestinal microbiota in individuals with prediabetes", 
        "pagination": "1-11", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "8c73aaf32e9808f4c3cc15a4fce1439775bfef2941a1664df7771d73a74d1333"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "29379988"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0006777"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00125-018-4550-1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1100691175"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00125-018-4550-1", 
          "https://app.dimensions.ai/details/publication/pub.1100691175"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:30", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8687_00000484.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s00125-018-4550-1"
      }
    ]
     

    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/s00125-018-4550-1'

    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/s00125-018-4550-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00125-018-4550-1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00125-018-4550-1'


     

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

    367 TRIPLES      21 PREDICATES      68 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00125-018-4550-1 schema:about anzsrc-for:11
    2 anzsrc-for:1103
    3 schema:author Nd49ee01e4c9348cebcebbc3b2d0c95bb
    4 schema:citation sg:pub.10.1007/s00125-014-3216-x
    5 sg:pub.10.1038/ajg.2010.281
    6 sg:pub.10.1038/ismej.2016.151
    7 sg:pub.10.1038/nature11450
    8 sg:pub.10.1038/nature12198
    9 sg:pub.10.1038/nature12506
    10 sg:pub.10.1038/nature15766
    11 sg:pub.10.1038/nm.4236
    12 sg:pub.10.1038/nm.4345
    13 sg:pub.10.1038/nm.4358
    14 sg:pub.10.1038/nmeth.f.303
    15 sg:pub.10.1038/nrcardio.2016.183
    16 sg:pub.10.1186/1471-2180-12-95
    17 sg:pub.10.1186/s13059-014-0550-8
    18 sg:pub.10.1186/s13059-017-1194-2
    19 https://doi.org/10.1016/j.cell.2012.04.037
    20 https://doi.org/10.1016/j.chom.2015.04.004
    21 https://doi.org/10.1016/j.cmet.2015.07.009
    22 https://doi.org/10.1016/j.jnutbio.2017.09.026
    23 https://doi.org/10.1016/s0140-6736(12)60283-9
    24 https://doi.org/10.1056/nejmra0906948
    25 https://doi.org/10.1056/nejmra1600266
    26 https://doi.org/10.1073/pnas.1219451110
    27 https://doi.org/10.1093/bioinformatics/btp636
    28 https://doi.org/10.1093/bioinformatics/btt593
    29 https://doi.org/10.1111/j.1442-9993.2001.01070.pp.x
    30 https://doi.org/10.1111/j.1464-5491.2012.03762.x
    31 https://doi.org/10.1128/aem.01043-13
    32 https://doi.org/10.1136/gutjnl-2012-303839
    33 https://doi.org/10.1194/jlr.m072819
    34 https://doi.org/10.1371/journal.pcbi.1003531
    35 https://doi.org/10.1371/journal.pone.0009085
    36 https://doi.org/10.1371/journal.pone.0071108
    37 https://doi.org/10.2147/clep.s129335
    38 https://doi.org/10.2307/2347111
    39 https://doi.org/10.2337/dc13-2817
    40 https://doi.org/10.2337/dc13-s011
    41 https://doi.org/10.2337/dc16-1324
    42 https://doi.org/10.3945/ajcn.112.046607
    43 schema:datePublished 2018-04
    44 schema:datePublishedReg 2018-04-01
    45 schema:description AIMS/HYPOTHESIS: Individuals with type 2 diabetes have aberrant intestinal microbiota. However, recent studies suggest that metformin alters the composition and functional potential of gut microbiota, thereby interfering with the diabetes-related microbial signatures. We tested whether specific gut microbiota profiles are associated with prediabetes (defined as fasting plasma glucose of 6.1-7.0 mmol/l or HbA1c of 42-48 mmol/mol [6.0-6.5%]) and a range of clinical biomarkers of poor metabolic health. METHODS: In the present case-control study, we analysed the gut microbiota of 134 Danish adults with prediabetes, overweight, insulin resistance, dyslipidaemia and low-grade inflammation and 134 age- and sex-matched individuals with normal glucose regulation. RESULTS: We found that five bacterial genera and 36 operational taxonomic units (OTUs) were differentially abundant between individuals with prediabetes and those with normal glucose regulation. At the genus level, the abundance of Clostridium was decreased (mean log2 fold change -0.64 (SEM 0.23), p adj  = 0.0497), whereas the abundances of Dorea, [Ruminococcus], Sutterella and Streptococcus were increased (mean log2 fold change 0.51 (SEM 0.12), p adj  = 5 × 10-4; 0.51 (SEM 0.11), p adj  = 1 × 10-4; 0.60 (SEM 0.21), p adj  = 0.0497; and 0.92 (SEM 0.21), p adj  = 4 × 10-4, respectively). The two OTUs that differed the most were a member of the order Clostridiales (OTU 146564) and Akkermansia muciniphila, which both displayed lower abundance among individuals with prediabetes (mean log2 fold change -1.74 (SEM 0.41), p adj  = 2 × 10-3 and -1.65 (SEM 0.34), p adj  = 4 × 10-4, respectively). Faecal transfer from donors with prediabetes or screen-detected, drug-naive type 2 diabetes to germfree Swiss Webster or conventional C57BL/6 J mice did not induce impaired glucose regulation in recipient mice. CONCLUSIONS/INTERPRETATION: Collectively, our data show that individuals with prediabetes have aberrant intestinal microbiota characterised by a decreased abundance of the genus Clostridium and the mucin-degrading bacterium A. muciniphila. Our findings are comparable to observations in overt chronic diseases characterised by low-grade inflammation.
    46 schema:genre research_article
    47 schema:inLanguage en
    48 schema:isAccessibleForFree true
    49 schema:isPartOf N3e94c57953e74a6b926f548ca24a9255
    50 Nb944e12f934d4084afcaa2a424c23ed1
    51 sg:journal.1001482
    52 schema:name Aberrant intestinal microbiota in individuals with prediabetes
    53 schema:pagination 1-11
    54 schema:productId N1a77ce913fcb4370aaef453546f9749c
    55 N1c0037391d8b419ab45afce6db9b2607
    56 Na6ab6e11ff024adfa2b84aebdf495c51
    57 Ndfcc26e555d948ccb0eeb6ea1d8a35d0
    58 Neaddd38a213d4611ad2a1abf7b32ab67
    59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100691175
    60 https://doi.org/10.1007/s00125-018-4550-1
    61 schema:sdDatePublished 2019-04-10T21:30
    62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    63 schema:sdPublisher Nc97fee48a20d4718940bc1d3486fcecb
    64 schema:url http://link.springer.com/10.1007/s00125-018-4550-1
    65 sgo:license sg:explorer/license/
    66 sgo:sdDataset articles
    67 rdf:type schema:ScholarlyArticle
    68 N07dc189410c24ea88d92aeed39bd0d14 rdf:first sg:person.0637662640.88
    69 rdf:rest N5b2f097a49734fba9cabb8be95b30e77
    70 N07fe642910a648fca9b9e6779124218e rdf:first sg:person.013055135711.69
    71 rdf:rest N9295e22c0f10427bbd5476128e850eb8
    72 N1007f42a6aee4e928f7c619b8363eaab rdf:first sg:person.0603656721.32
    73 rdf:rest N07dc189410c24ea88d92aeed39bd0d14
    74 N12f8b66020f74523908d9e9908fe7cbf rdf:first sg:person.016350427407.47
    75 rdf:rest N17e8c9d7cacc4b0f8cc1231058eea857
    76 N15fb44e1f2934ca5bf02bd4903283272 schema:name Research Centre for Prevention and Health, the Capital Region of Denmark, Copenhagen, Denmark
    77 rdf:type schema:Organization
    78 N1775ff0dc98140fab275f6a14b4ee474 rdf:first sg:person.01023742102.93
    79 rdf:rest N27213a4b20614177946529db606e787b
    80 N17e8c9d7cacc4b0f8cc1231058eea857 rdf:first sg:person.01042304665.14
    81 rdf:rest N3bd8b355e0f4449baa9ff26c8382cbb4
    82 N1a77ce913fcb4370aaef453546f9749c schema:name pubmed_id
    83 schema:value 29379988
    84 rdf:type schema:PropertyValue
    85 N1c0037391d8b419ab45afce6db9b2607 schema:name readcube_id
    86 schema:value 8c73aaf32e9808f4c3cc15a4fce1439775bfef2941a1664df7771d73a74d1333
    87 rdf:type schema:PropertyValue
    88 N27213a4b20614177946529db606e787b rdf:first sg:person.01223053025.46
    89 rdf:rest N07fe642910a648fca9b9e6779124218e
    90 N33d1ad63e0ce42e59a92a5bd5b695191 rdf:first sg:person.01142244720.21
    91 rdf:rest Nfe3b81b16cb7423a871d58647a02d481
    92 N3bd8b355e0f4449baa9ff26c8382cbb4 rdf:first sg:person.0765447455.52
    93 rdf:rest rdf:nil
    94 N3e94c57953e74a6b926f548ca24a9255 schema:issueNumber 4
    95 rdf:type schema:PublicationIssue
    96 N5b2f097a49734fba9cabb8be95b30e77 rdf:first sg:person.01002106575.49
    97 rdf:rest N33d1ad63e0ce42e59a92a5bd5b695191
    98 N6701171bae43468cb882ee7042d39585 rdf:first sg:person.014046204442.05
    99 rdf:rest Ncce70378dd42445c9e85afb12b002064
    100 N7b0f616e95014036a2b69c928ec5e5a4 rdf:first Nffa5618e06fe413a84e805b7d1f9e25e
    101 rdf:rest N12f8b66020f74523908d9e9908fe7cbf
    102 N84fd377a5d9949429f24f25b06563e9d rdf:first sg:person.01206761163.46
    103 rdf:rest N6701171bae43468cb882ee7042d39585
    104 N9295e22c0f10427bbd5476128e850eb8 rdf:first sg:person.01221157743.99
    105 rdf:rest N84fd377a5d9949429f24f25b06563e9d
    106 Na24e3a5bb38343749dc3ce567483defc rdf:first sg:person.01140733741.44
    107 rdf:rest N1775ff0dc98140fab275f6a14b4ee474
    108 Na317ec5facf448d5ad9193f9f7368295 rdf:first sg:person.01106432311.84
    109 rdf:rest N7b0f616e95014036a2b69c928ec5e5a4
    110 Na6ab6e11ff024adfa2b84aebdf495c51 schema:name doi
    111 schema:value 10.1007/s00125-018-4550-1
    112 rdf:type schema:PropertyValue
    113 Nb944e12f934d4084afcaa2a424c23ed1 schema:volumeNumber 61
    114 rdf:type schema:PublicationVolume
    115 Nc97fee48a20d4718940bc1d3486fcecb schema:name Springer Nature - SN SciGraph project
    116 rdf:type schema:Organization
    117 Ncce70378dd42445c9e85afb12b002064 rdf:first sg:person.01357707137.39
    118 rdf:rest N1007f42a6aee4e928f7c619b8363eaab
    119 Nd49ee01e4c9348cebcebbc3b2d0c95bb rdf:first sg:person.0725716246.46
    120 rdf:rest Na24e3a5bb38343749dc3ce567483defc
    121 Ndfcc26e555d948ccb0eeb6ea1d8a35d0 schema:name dimensions_id
    122 schema:value pub.1100691175
    123 rdf:type schema:PropertyValue
    124 Neaddd38a213d4611ad2a1abf7b32ab67 schema:name nlm_unique_id
    125 schema:value 0006777
    126 rdf:type schema:PropertyValue
    127 Nfe3b81b16cb7423a871d58647a02d481 rdf:first sg:person.0640342427.52
    128 rdf:rest Na317ec5facf448d5ad9193f9f7368295
    129 Nffa5618e06fe413a84e805b7d1f9e25e schema:familyName the IMI-DIRECT consortium
    130 rdf:type schema:Person
    131 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    132 schema:name Medical and Health Sciences
    133 rdf:type schema:DefinedTerm
    134 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    135 schema:name Clinical Sciences
    136 rdf:type schema:DefinedTerm
    137 sg:journal.1001482 schema:issn 0012-186X
    138 1432-0428
    139 schema:name Diabetologia
    140 rdf:type schema:Periodical
    141 sg:person.01002106575.49 schema:affiliation https://www.grid.ac/institutes/grid.5117.2
    142 schema:familyName Jørgensen
    143 schema:givenName Torben
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002106575.49
    145 rdf:type schema:Person
    146 sg:person.01023742102.93 schema:affiliation https://www.grid.ac/institutes/grid.8761.8
    147 schema:familyName Caesar
    148 schema:givenName Robert
    149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023742102.93
    150 rdf:type schema:Person
    151 sg:person.01042304665.14 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
    152 schema:familyName Bäckhed
    153 schema:givenName Fredrik
    154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042304665.14
    155 rdf:type schema:Person
    156 sg:person.01106432311.84 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
    157 schema:familyName Franks
    158 schema:givenName Paul W.
    159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106432311.84
    160 rdf:type schema:Person
    161 sg:person.01140733741.44 schema:affiliation https://www.grid.ac/institutes/grid.8761.8
    162 schema:familyName Tremaroli
    163 schema:givenName Valentina
    164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140733741.44
    165 rdf:type schema:Person
    166 sg:person.01142244720.21 schema:affiliation https://www.grid.ac/institutes/grid.419658.7
    167 schema:familyName Vestergaard
    168 schema:givenName Henrik
    169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142244720.21
    170 rdf:type schema:Person
    171 sg:person.01206761163.46 schema:affiliation https://www.grid.ac/institutes/grid.5170.3
    172 schema:familyName Licht
    173 schema:givenName Tine R.
    174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206761163.46
    175 rdf:type schema:Person
    176 sg:person.01221157743.99 schema:affiliation https://www.grid.ac/institutes/grid.5170.3
    177 schema:familyName Bahl
    178 schema:givenName Martin I.
    179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221157743.99
    180 rdf:type schema:Person
    181 sg:person.01223053025.46 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
    182 schema:familyName Jensen
    183 schema:givenName Benjamin A. H.
    184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223053025.46
    185 rdf:type schema:Person
    186 sg:person.013055135711.69 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
    187 schema:familyName Damgaard
    188 schema:givenName Mads T. F.
    189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013055135711.69
    190 rdf:type schema:Person
    191 sg:person.01357707137.39 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
    192 schema:familyName Nielsen
    193 schema:givenName Trine
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357707137.39
    195 rdf:type schema:Person
    196 sg:person.014046204442.05 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
    197 schema:familyName Hansen
    198 schema:givenName Tue H.
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014046204442.05
    200 rdf:type schema:Person
    201 sg:person.016350427407.47 schema:affiliation https://www.grid.ac/institutes/grid.10825.3e
    202 schema:familyName Hansen
    203 schema:givenName Torben
    204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016350427407.47
    205 rdf:type schema:Person
    206 sg:person.0603656721.32 schema:affiliation N15fb44e1f2934ca5bf02bd4903283272
    207 schema:familyName Dantoft
    208 schema:givenName Thomas M.
    209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603656721.32
    210 rdf:type schema:Person
    211 sg:person.0637662640.88 schema:affiliation https://www.grid.ac/institutes/grid.475435.4
    212 schema:familyName Linneberg
    213 schema:givenName Allan
    214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637662640.88
    215 rdf:type schema:Person
    216 sg:person.0640342427.52 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
    217 schema:familyName Kristiansen
    218 schema:givenName Karsten
    219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640342427.52
    220 rdf:type schema:Person
    221 sg:person.0725716246.46 schema:affiliation https://www.grid.ac/institutes/grid.411702.1
    222 schema:familyName Allin
    223 schema:givenName Kristine H.
    224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725716246.46
    225 rdf:type schema:Person
    226 sg:person.0765447455.52 schema:affiliation https://www.grid.ac/institutes/grid.7048.b
    227 schema:familyName Pedersen
    228 schema:givenName Oluf
    229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765447455.52
    230 rdf:type schema:Person
    231 sg:pub.10.1007/s00125-014-3216-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012557304
    232 https://doi.org/10.1007/s00125-014-3216-x
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1038/ajg.2010.281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051734110
    235 https://doi.org/10.1038/ajg.2010.281
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/ismej.2016.151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017331773
    238 https://doi.org/10.1038/ismej.2016.151
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/nature11450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004546178
    241 https://doi.org/10.1038/nature11450
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1038/nature12198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002791386
    244 https://doi.org/10.1038/nature12198
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1038/nature12506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003823032
    247 https://doi.org/10.1038/nature12506
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1038/nature15766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014535385
    250 https://doi.org/10.1038/nature15766
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1038/nm.4236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011574767
    253 https://doi.org/10.1038/nm.4236
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1038/nm.4345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085459595
    256 https://doi.org/10.1038/nm.4345
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1038/nm.4358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086072554
    259 https://doi.org/10.1038/nm.4358
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1038/nmeth.f.303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009032055
    262 https://doi.org/10.1038/nmeth.f.303
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/nrcardio.2016.183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045330605
    265 https://doi.org/10.1038/nrcardio.2016.183
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1186/1471-2180-12-95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023015889
    268 https://doi.org/10.1186/1471-2180-12-95
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1186/s13059-014-0550-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015222646
    271 https://doi.org/10.1186/s13059-014-0550-8
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1186/s13059-017-1194-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084807339
    274 https://doi.org/10.1186/s13059-017-1194-2
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1016/j.cell.2012.04.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011085746
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1016/j.chom.2015.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009351625
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1016/j.cmet.2015.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012515581
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1016/j.jnutbio.2017.09.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092296532
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1016/s0140-6736(12)60283-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048030299
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1056/nejmra0906948 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005376580
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1056/nejmra1600266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031179754
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1073/pnas.1219451110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049139299
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1093/bioinformatics/btp636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034512291
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1093/bioinformatics/btt593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010435278
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1111/j.1442-9993.2001.01070.pp.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044499388
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1111/j.1464-5491.2012.03762.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027829392
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1128/aem.01043-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028950079
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1136/gutjnl-2012-303839 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009561639
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1194/jlr.m072819 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064192944
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1371/journal.pcbi.1003531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048123102
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1371/journal.pone.0009085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017487904
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1371/journal.pone.0071108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027638213
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.2147/clep.s129335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084386296
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.2307/2347111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101981819
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.2337/dc13-2817 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051706700
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.2337/dc13-s011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009253995
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.2337/dc16-1324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070730310
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.3945/ajcn.112.046607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010642491
    323 rdf:type schema:CreativeWork
    324 https://www.grid.ac/institutes/grid.10825.3e schema:alternateName University of Southern Denmark
    325 schema:name Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
    326 Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
    327 rdf:type schema:Organization
    328 https://www.grid.ac/institutes/grid.38142.3c schema:alternateName Harvard University
    329 schema:name Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden
    330 Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
    331 Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
    332 rdf:type schema:Organization
    333 https://www.grid.ac/institutes/grid.411702.1 schema:alternateName Bispebjerg Hospital
    334 schema:name Department of Clinical Epidemiology, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark
    335 Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
    336 rdf:type schema:Organization
    337 https://www.grid.ac/institutes/grid.419658.7 schema:alternateName Steno Diabetes Center
    338 schema:name Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
    339 Steno Diabetes Center Copenhagen, Gentofte, Denmark
    340 rdf:type schema:Organization
    341 https://www.grid.ac/institutes/grid.475435.4 schema:alternateName Rigshospitalet
    342 schema:name Department of Clinical Experimental Research, Rigshospitalet, Glostrup, Denmark
    343 Research Centre for Prevention and Health, the Capital Region of Denmark, Copenhagen, Denmark
    344 rdf:type schema:Organization
    345 https://www.grid.ac/institutes/grid.5117.2 schema:alternateName Aalborg University
    346 schema:name Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
    347 Faculty of Medicine, Aalborg University, Aalborg, Denmark
    348 Research Centre for Prevention and Health, the Capital Region of Denmark, Copenhagen, Denmark
    349 rdf:type schema:Organization
    350 https://www.grid.ac/institutes/grid.5170.3 schema:alternateName Technical University of Denmark
    351 schema:name National Food Institute, Technical University of Denmark, Lyngby, Denmark
    352 rdf:type schema:Organization
    353 https://www.grid.ac/institutes/grid.5254.6 schema:alternateName University of Copenhagen
    354 schema:name Laboratory of Genomics and Molecular Biomedicine, Department of Biology, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
    355 Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
    356 Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Receptology and Enteroendocrinology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
    357 Sahlgrenska Center for Cardiovascular and Metabolic Research, University of Gothenburg, Gothenburg, Sweden
    358 Wallenberg Laboratory, Department of Molecular and Clinical Medicine, University of Gothenburg, SE-413 45, Gothenburg, Sweden
    359 rdf:type schema:Organization
    360 https://www.grid.ac/institutes/grid.7048.b schema:alternateName Aarhus University
    361 schema:name Faculty of Health Sciences, University of Aarhus, Aarhus, Denmark
    362 Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
    363 rdf:type schema:Organization
    364 https://www.grid.ac/institutes/grid.8761.8 schema:alternateName University of Gothenburg
    365 schema:name Sahlgrenska Center for Cardiovascular and Metabolic Research, University of Gothenburg, Gothenburg, Sweden
    366 Wallenberg Laboratory, Department of Molecular and Clinical Medicine, University of Gothenburg, SE-413 45, Gothenburg, Sweden
    367 rdf:type schema:Organization
     




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


    ...