Pre-obese children’s dysbiotic gut microbiome and unhealthy diets may predict the development of obesity View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Simone Rampelli, Kathrin Guenther, Silvia Turroni, Maike Wolters, Toomas Veidebaum, Yiannis Kourides, Dénes Molnár, Lauren Lissner, Alfonso Benitez-Paez, Yolanda Sanz, Arno Fraterman, Nathalie Michels, Patrizia Brigidi, Marco Candela, Wolfgang Ahrens

ABSTRACT

It is widely accepted that the intestinal microbiome is connected to obesity, as key mediator of the diet impact on the host metabolic and immunological status. To investigate whether the individual gut microbiome has a potential in predicting the onset and progression of diseases, here we characterized the faecal microbiota of 70 children in a two-time point prospective study, within a four-year window. All children had normal weight at the beginning of this study, but 36 of them gained excessive weight at the subsequent check-up. Microbiome data were analysed together with the hosts' diet information, physical activity, and inflammatory parameters. We find that the gut microbiota structures were stratified into a discrete number of groups, characterized by different biodiversity that correlates with inflammatory markers and dietary habits, regardless of age, gender, and body weight. Collectively, our data underscore the importance of the microbiome-host-diet configuration as a possible predictor of obesity. More... »

PAGES

222

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s42003-018-0221-5

DOI

http://dx.doi.org/10.1038/s42003-018-0221-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110346488

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30534614


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/2008/1111", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Nutrition and Dietetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Bologna", 
          "id": "https://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "1Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rampelli", 
        "givenName": "Simone", 
        "id": "sg:person.0716135345.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716135345.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Leibniz Institute for Prevention Research and Epidemiology - BIPS", 
          "id": "https://www.grid.ac/institutes/grid.418465.a", 
          "name": [
            "2Leibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstra\u00dfe 30, 28359 Bremen, Germany."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guenther", 
        "givenName": "Kathrin", 
        "id": "sg:person.010532245600.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010532245600.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bologna", 
          "id": "https://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "1Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Turroni", 
        "givenName": "Silvia", 
        "id": "sg:person.01137526075.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137526075.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Leibniz Institute for Prevention Research and Epidemiology - BIPS", 
          "id": "https://www.grid.ac/institutes/grid.418465.a", 
          "name": [
            "2Leibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstra\u00dfe 30, 28359 Bremen, Germany."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wolters", 
        "givenName": "Maike", 
        "id": "sg:person.0710622372.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710622372.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health Development", 
          "id": "https://www.grid.ac/institutes/grid.416712.7", 
          "name": [
            "3Department of Chronic Diseases, National Institute for Health Development, Hiiu 42, 11619 Tallinn, Estonia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Veidebaum", 
        "givenName": "Toomas", 
        "id": "sg:person.01030636537.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030636537.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Research and Education Institute of Child Health, Stavrou Street 56, 2035 Strovolos, Cyprus."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kourides", 
        "givenName": "Yiannis", 
        "id": "sg:person.01032651013.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032651013.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pecs", 
          "id": "https://www.grid.ac/institutes/grid.9679.1", 
          "name": [
            "5Department of Paediatrics, Clinical Center, University of P\u00e9cs, J\u00f3zsef Attila u. 7, 7623 Pecs, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moln\u00e1r", 
        "givenName": "D\u00e9nes", 
        "id": "sg:person.01337520027.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337520027.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Gothenburg", 
          "id": "https://www.grid.ac/institutes/grid.8761.8", 
          "name": [
            "6Section for Epidemiology and Social Medicine, University of Gothenburg, Medicinaregatan 16, 40530 Gothenburg, Sweden."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lissner", 
        "givenName": "Lauren", 
        "id": "sg:person.0630272547.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630272547.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Agroqu\u00edmica y Tecnolog\u00eda de Alimentos", 
          "id": "https://www.grid.ac/institutes/grid.419051.8", 
          "name": [
            "Microbial Ecology, Nutrition & Health Research Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Avda. Catedr\u00e1tico Agust\u00edn Escardino 7, 46980 Valencia, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Benitez-Paez", 
        "givenName": "Alfonso", 
        "id": "sg:person.0705322253.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705322253.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Agroqu\u00edmica y Tecnolog\u00eda de Alimentos", 
          "id": "https://www.grid.ac/institutes/grid.419051.8", 
          "name": [
            "Microbial Ecology, Nutrition & Health Research Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Avda. Catedr\u00e1tico Agust\u00edn Escardino 7, 46980 Valencia, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sanz", 
        "givenName": "Yolanda", 
        "id": "sg:person.0767244325.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767244325.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Medizinisches Versorgungszentrum Dr. Eberhard & Partner Dortmund, Laboratoriumsmedizin Dortmund, Brauhausstra\u00dfe 4, 44137 Dortmund, Germany."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fraterman", 
        "givenName": "Arno", 
        "id": "sg:person.01112427621.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112427621.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "9Department of Public Health, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Michels", 
        "givenName": "Nathalie", 
        "id": "sg:person.0747470134.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747470134.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bologna", 
          "id": "https://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "1Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brigidi", 
        "givenName": "Patrizia", 
        "id": "sg:person.01363755666.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363755666.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bologna", 
          "id": "https://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "1Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Candela", 
        "givenName": "Marco", 
        "id": "sg:person.01212256105.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212256105.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Leibniz Institute for Prevention Research and Epidemiology - BIPS", 
          "id": "https://www.grid.ac/institutes/grid.418465.a", 
          "name": [
            "2Leibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstra\u00dfe 30, 28359 Bremen, Germany."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahrens", 
        "givenName": "Wolfgang", 
        "id": "sg:person.0633614701.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633614701.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/ijo.2011.30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000196894", 
          "https://doi.org/10.1038/ijo.2011.30"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2011.30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000196894", 
          "https://doi.org/10.1038/ijo.2011.30"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12480", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000291686", 
          "https://doi.org/10.1038/nature12480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chom.2015.12.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002521967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002571749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.112730.110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007579011"
        ], 
        "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": "sg:pub.10.1186/s13073-016-0303-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009930375", 
          "https://doi.org/10.1186/s13073-016-0303-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12820", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013830289", 
          "https://doi.org/10.1038/nature12820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1208344", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015324311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tim.2012.05.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016924644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2014.143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017077450", 
          "https://doi.org/10.1038/ijo.2014.143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2015.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022615793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1005963107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023427228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023893418", 
          "https://doi.org/10.1038/nature05414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023893418", 
          "https://doi.org/10.1038/nature05414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023893418", 
          "https://doi.org/10.1038/nature05414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025904619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-0556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027850039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3945/ajcn.114.088120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029665730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030170002", 
          "https://doi.org/10.1038/nature07540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2013.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031395350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12038-012-9244-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032115783", 
          "https://doi.org/10.1007/s12038-012-9244-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032682406", 
          "https://doi.org/10.1038/nature11319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep32826", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033914530", 
          "https://doi.org/10.1038/srep32826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2011.36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034622962", 
          "https://doi.org/10.1038/ijo.2011.36"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2011.36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034622962", 
          "https://doi.org/10.1038/ijo.2011.36"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3945/an.111.000455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034921264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2015.04.055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036530907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-010-9481-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036727204", 
          "https://doi.org/10.1007/s10654-010-9481-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-010-9481-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036727204", 
          "https://doi.org/10.1007/s10654-010-9481-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2015.07.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039149110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/487047a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039790482", 
          "https://doi.org/10.1038/487047a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc09-0979", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040761733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature18846", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040795996", 
          "https://doi.org/10.1038/nature18846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gut.2008.165886", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041802749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/oby.2009.167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042652144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2014.130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043764740", 
          "https://doi.org/10.1038/ijo.2014.130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2010.118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046790587", 
          "https://doi.org/10.1038/ismej.2010.118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-13-31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047017534", 
          "https://doi.org/10.1186/1471-2105-13-31"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1241214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048095994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1198719", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049041229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aad3369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049864477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/oby.20985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049877256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2011.37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050712894", 
          "https://doi.org/10.1038/ijo.2011.37"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2011.37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050712894", 
          "https://doi.org/10.1038/ijo.2011.37"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0029665100000318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051346908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyw317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059676883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/04365st04", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076841942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/137.3.647", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077374962"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/86.5.1286", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077514746"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082363659", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/nu9020126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083744472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40168-017-0256-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084252814", 
          "https://doi.org/10.1186/s40168-017-0256-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40168-017-0256-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084252814", 
          "https://doi.org/10.1186/s40168-017-0256-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/jpem-2017-0246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093164709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ibd/izy080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103523247"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "It is widely accepted that the intestinal microbiome is connected to obesity, as key mediator of the diet impact on the host metabolic and immunological status. To investigate whether the individual gut microbiome has a potential in predicting the onset and progression of diseases, here we characterized the faecal microbiota of 70 children in a two-time point prospective study, within a four-year window. All children had normal weight at the beginning of this study, but 36 of them gained excessive weight at the subsequent check-up. Microbiome data were analysed together with the hosts' diet information, physical activity, and inflammatory parameters. We find that the gut microbiota structures were stratified into a discrete number of groups, characterized by different biodiversity that correlates with inflammatory markers and dietary habits, regardless of age, gender, and body weight. Collectively, our data underscore the importance of the microbiome-host-diet configuration as a possible predictor of obesity.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s42003-018-0221-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3791229", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3702843", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3767420", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3781142", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1300829", 
        "issn": [
          "2399-3642"
        ], 
        "name": "Communications Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "1"
      }
    ], 
    "name": "Pre-obese children\u2019s dysbiotic gut microbiome and unhealthy diets may predict the development of obesity", 
    "pagination": "222", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7f86a28020c79f29f5f60bf415c9aefeedcdb3ebc664bd749f6f49f4cb3f8bbd"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30534614"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101719179"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s42003-018-0221-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110346488"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s42003-018-0221-5", 
      "https://app.dimensions.ai/details/publication/pub.1110346488"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:30", 
    "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/v90/0000000309_0000000309/records_106265_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s42003-018-0221-5"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s42003-018-0221-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s42003-018-0221-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s42003-018-0221-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s42003-018-0221-5'


 

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

365 TRIPLES      21 PREDICATES      79 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s42003-018-0221-5 schema:about anzsrc-for:11
2 anzsrc-for:1111
3 schema:author Nac5502ea3b3c40fa93bf3af2362e6f21
4 schema:citation sg:pub.10.1007/s10654-010-9481-1
5 sg:pub.10.1007/s12038-012-9244-0
6 sg:pub.10.1038/487047a
7 sg:pub.10.1038/ijo.2011.30
8 sg:pub.10.1038/ijo.2011.36
9 sg:pub.10.1038/ijo.2011.37
10 sg:pub.10.1038/ijo.2014.130
11 sg:pub.10.1038/ijo.2014.143
12 sg:pub.10.1038/ismej.2010.118
13 sg:pub.10.1038/nature05414
14 sg:pub.10.1038/nature07540
15 sg:pub.10.1038/nature11319
16 sg:pub.10.1038/nature12480
17 sg:pub.10.1038/nature12820
18 sg:pub.10.1038/nature18846
19 sg:pub.10.1038/nmeth.f.303
20 sg:pub.10.1038/srep32826
21 sg:pub.10.1186/1471-2105-13-31
22 sg:pub.10.1186/s13073-016-0303-2
23 sg:pub.10.1186/s40168-017-0256-8
24 https://app.dimensions.ai/details/publication/pub.1082363659
25 https://doi.org/10.1002/oby.20985
26 https://doi.org/10.1016/j.chom.2015.12.016
27 https://doi.org/10.1016/j.cmet.2013.05.004
28 https://doi.org/10.1016/j.cmet.2015.07.026
29 https://doi.org/10.1016/j.cmet.2015.10.001
30 https://doi.org/10.1016/j.cub.2015.04.055
31 https://doi.org/10.1016/j.tim.2012.05.003
32 https://doi.org/10.1017/s0029665100000318
33 https://doi.org/10.1038/oby.2009.167
34 https://doi.org/10.1073/pnas.1005963107
35 https://doi.org/10.1093/ajcn/86.5.1286
36 https://doi.org/10.1093/bioinformatics/bti394
37 https://doi.org/10.1093/bioinformatics/btq461
38 https://doi.org/10.1093/ibd/izy080
39 https://doi.org/10.1093/ije/dyw317
40 https://doi.org/10.1093/jn/137.3.647
41 https://doi.org/10.1101/gr.112730.110
42 https://doi.org/10.1126/science.1198719
43 https://doi.org/10.1126/science.1208344
44 https://doi.org/10.1126/science.1241214
45 https://doi.org/10.1126/science.aad3369
46 https://doi.org/10.1136/gut.2008.165886
47 https://doi.org/10.1515/jpem-2017-0246
48 https://doi.org/10.2144/04365st04
49 https://doi.org/10.2337/dc09-0979
50 https://doi.org/10.2337/dc10-0556
51 https://doi.org/10.3390/nu9020126
52 https://doi.org/10.3945/ajcn.114.088120
53 https://doi.org/10.3945/an.111.000455
54 schema:datePublished 2018-12
55 schema:datePublishedReg 2018-12-01
56 schema:description It is widely accepted that the intestinal microbiome is connected to obesity, as key mediator of the diet impact on the host metabolic and immunological status. To investigate whether the individual gut microbiome has a potential in predicting the onset and progression of diseases, here we characterized the faecal microbiota of 70 children in a two-time point prospective study, within a four-year window. All children had normal weight at the beginning of this study, but 36 of them gained excessive weight at the subsequent check-up. Microbiome data were analysed together with the hosts' diet information, physical activity, and inflammatory parameters. We find that the gut microbiota structures were stratified into a discrete number of groups, characterized by different biodiversity that correlates with inflammatory markers and dietary habits, regardless of age, gender, and body weight. Collectively, our data underscore the importance of the microbiome-host-diet configuration as a possible predictor of obesity.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf Ncce96638d60e47f2b0dae7f4938b6fb6
61 Nedaf88f6ea874af8ae98795929e8d715
62 sg:journal.1300829
63 schema:name Pre-obese children’s dysbiotic gut microbiome and unhealthy diets may predict the development of obesity
64 schema:pagination 222
65 schema:productId N453954b180b34ad58ef5132075f2e526
66 N8cb1d9567a3b404d8e65a29ee704c18f
67 N9be3e834c65a471d9663dfabdca02fcf
68 Nc57b5a615f0e4e028c2f95413967241c
69 Ned3f0e339fef42a485805839c3c32f65
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110346488
71 https://doi.org/10.1038/s42003-018-0221-5
72 schema:sdDatePublished 2019-04-11T08:30
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher Ned39f758411547ec97d8e465ee7f8cad
75 schema:url https://www.nature.com/articles/s42003-018-0221-5
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N21ca2cafd9de4c0897f880ef79e2e4fc rdf:first sg:person.0710622372.47
80 rdf:rest N952c4d922f0643b5a91627d2ab85244e
81 N22a3d5c2f1744bf1baff9ef27243d3b2 rdf:first sg:person.0705322253.24
82 rdf:rest N676ee64613ee4c3f8cdfbe5b191d725f
83 N24708e13c52e421db44a4ad93a6acd5d rdf:first sg:person.01212256105.50
84 rdf:rest Ne951e0c3f9964e0d9c2e43fb664d9658
85 N3b2bb5a1950a41afa0083809257789eb schema:name Medizinisches Versorgungszentrum Dr. Eberhard & Partner Dortmund, Laboratoriumsmedizin Dortmund, Brauhausstraße 4, 44137 Dortmund, Germany.
86 rdf:type schema:Organization
87 N453954b180b34ad58ef5132075f2e526 schema:name dimensions_id
88 schema:value pub.1110346488
89 rdf:type schema:PropertyValue
90 N5aa9d74b7e05472292f87690855b114d rdf:first sg:person.01032651013.17
91 rdf:rest Nd7a41d08d0f94eb9a821ded3757bb566
92 N676ee64613ee4c3f8cdfbe5b191d725f rdf:first sg:person.0767244325.38
93 rdf:rest N89c8900e5334459ab4944c74b2e9165e
94 N7eee0a52980148578c5c6ff8956e6165 rdf:first sg:person.01363755666.47
95 rdf:rest N24708e13c52e421db44a4ad93a6acd5d
96 N89c8900e5334459ab4944c74b2e9165e rdf:first sg:person.01112427621.55
97 rdf:rest Nec59d718308e4d87a79ee953c09aeb66
98 N8cb1d9567a3b404d8e65a29ee704c18f schema:name nlm_unique_id
99 schema:value 101719179
100 rdf:type schema:PropertyValue
101 N952c4d922f0643b5a91627d2ab85244e rdf:first sg:person.01030636537.08
102 rdf:rest N5aa9d74b7e05472292f87690855b114d
103 N96c5a3fca7d9491d94d3a5fda4e82cac rdf:first sg:person.0630272547.43
104 rdf:rest N22a3d5c2f1744bf1baff9ef27243d3b2
105 N9be3e834c65a471d9663dfabdca02fcf schema:name pubmed_id
106 schema:value 30534614
107 rdf:type schema:PropertyValue
108 Na22e2bc756a145bfb130e4e9370832bc rdf:first sg:person.010532245600.65
109 rdf:rest Ne1cf0a089b3c4215a76ed771f29c7cad
110 Nac5502ea3b3c40fa93bf3af2362e6f21 rdf:first sg:person.0716135345.15
111 rdf:rest Na22e2bc756a145bfb130e4e9370832bc
112 Nc57b5a615f0e4e028c2f95413967241c schema:name doi
113 schema:value 10.1038/s42003-018-0221-5
114 rdf:type schema:PropertyValue
115 Ncce96638d60e47f2b0dae7f4938b6fb6 schema:volumeNumber 1
116 rdf:type schema:PublicationVolume
117 Nd7a41d08d0f94eb9a821ded3757bb566 rdf:first sg:person.01337520027.43
118 rdf:rest N96c5a3fca7d9491d94d3a5fda4e82cac
119 Ne1cf0a089b3c4215a76ed771f29c7cad rdf:first sg:person.01137526075.63
120 rdf:rest N21ca2cafd9de4c0897f880ef79e2e4fc
121 Ne951e0c3f9964e0d9c2e43fb664d9658 rdf:first sg:person.0633614701.43
122 rdf:rest rdf:nil
123 Nec59d718308e4d87a79ee953c09aeb66 rdf:first sg:person.0747470134.47
124 rdf:rest N7eee0a52980148578c5c6ff8956e6165
125 Necdc2279166049db8d7ed6bf6c448b31 schema:name Research and Education Institute of Child Health, Stavrou Street 56, 2035 Strovolos, Cyprus.
126 rdf:type schema:Organization
127 Ned39f758411547ec97d8e465ee7f8cad schema:name Springer Nature - SN SciGraph project
128 rdf:type schema:Organization
129 Ned3f0e339fef42a485805839c3c32f65 schema:name readcube_id
130 schema:value 7f86a28020c79f29f5f60bf415c9aefeedcdb3ebc664bd749f6f49f4cb3f8bbd
131 rdf:type schema:PropertyValue
132 Nedaf88f6ea874af8ae98795929e8d715 schema:issueNumber 1
133 rdf:type schema:PublicationIssue
134 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
135 schema:name Medical and Health Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:1111 schema:inDefinedTermSet anzsrc-for:
138 schema:name Nutrition and Dietetics
139 rdf:type schema:DefinedTerm
140 sg:grant.3702843 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-018-0221-5
141 rdf:type schema:MonetaryGrant
142 sg:grant.3767420 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-018-0221-5
143 rdf:type schema:MonetaryGrant
144 sg:grant.3781142 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-018-0221-5
145 rdf:type schema:MonetaryGrant
146 sg:grant.3791229 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-018-0221-5
147 rdf:type schema:MonetaryGrant
148 sg:journal.1300829 schema:issn 2399-3642
149 schema:name Communications Biology
150 rdf:type schema:Periodical
151 sg:person.01030636537.08 schema:affiliation https://www.grid.ac/institutes/grid.416712.7
152 schema:familyName Veidebaum
153 schema:givenName Toomas
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030636537.08
155 rdf:type schema:Person
156 sg:person.01032651013.17 schema:affiliation Necdc2279166049db8d7ed6bf6c448b31
157 schema:familyName Kourides
158 schema:givenName Yiannis
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032651013.17
160 rdf:type schema:Person
161 sg:person.010532245600.65 schema:affiliation https://www.grid.ac/institutes/grid.418465.a
162 schema:familyName Guenther
163 schema:givenName Kathrin
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010532245600.65
165 rdf:type schema:Person
166 sg:person.01112427621.55 schema:affiliation N3b2bb5a1950a41afa0083809257789eb
167 schema:familyName Fraterman
168 schema:givenName Arno
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112427621.55
170 rdf:type schema:Person
171 sg:person.01137526075.63 schema:affiliation https://www.grid.ac/institutes/grid.6292.f
172 schema:familyName Turroni
173 schema:givenName Silvia
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137526075.63
175 rdf:type schema:Person
176 sg:person.01212256105.50 schema:affiliation https://www.grid.ac/institutes/grid.6292.f
177 schema:familyName Candela
178 schema:givenName Marco
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212256105.50
180 rdf:type schema:Person
181 sg:person.01337520027.43 schema:affiliation https://www.grid.ac/institutes/grid.9679.1
182 schema:familyName Molnár
183 schema:givenName Dénes
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337520027.43
185 rdf:type schema:Person
186 sg:person.01363755666.47 schema:affiliation https://www.grid.ac/institutes/grid.6292.f
187 schema:familyName Brigidi
188 schema:givenName Patrizia
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363755666.47
190 rdf:type schema:Person
191 sg:person.0630272547.43 schema:affiliation https://www.grid.ac/institutes/grid.8761.8
192 schema:familyName Lissner
193 schema:givenName Lauren
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630272547.43
195 rdf:type schema:Person
196 sg:person.0633614701.43 schema:affiliation https://www.grid.ac/institutes/grid.418465.a
197 schema:familyName Ahrens
198 schema:givenName Wolfgang
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633614701.43
200 rdf:type schema:Person
201 sg:person.0705322253.24 schema:affiliation https://www.grid.ac/institutes/grid.419051.8
202 schema:familyName Benitez-Paez
203 schema:givenName Alfonso
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705322253.24
205 rdf:type schema:Person
206 sg:person.0710622372.47 schema:affiliation https://www.grid.ac/institutes/grid.418465.a
207 schema:familyName Wolters
208 schema:givenName Maike
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710622372.47
210 rdf:type schema:Person
211 sg:person.0716135345.15 schema:affiliation https://www.grid.ac/institutes/grid.6292.f
212 schema:familyName Rampelli
213 schema:givenName Simone
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716135345.15
215 rdf:type schema:Person
216 sg:person.0747470134.47 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
217 schema:familyName Michels
218 schema:givenName Nathalie
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747470134.47
220 rdf:type schema:Person
221 sg:person.0767244325.38 schema:affiliation https://www.grid.ac/institutes/grid.419051.8
222 schema:familyName Sanz
223 schema:givenName Yolanda
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767244325.38
225 rdf:type schema:Person
226 sg:pub.10.1007/s10654-010-9481-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036727204
227 https://doi.org/10.1007/s10654-010-9481-1
228 rdf:type schema:CreativeWork
229 sg:pub.10.1007/s12038-012-9244-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032115783
230 https://doi.org/10.1007/s12038-012-9244-0
231 rdf:type schema:CreativeWork
232 sg:pub.10.1038/487047a schema:sameAs https://app.dimensions.ai/details/publication/pub.1039790482
233 https://doi.org/10.1038/487047a
234 rdf:type schema:CreativeWork
235 sg:pub.10.1038/ijo.2011.30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000196894
236 https://doi.org/10.1038/ijo.2011.30
237 rdf:type schema:CreativeWork
238 sg:pub.10.1038/ijo.2011.36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034622962
239 https://doi.org/10.1038/ijo.2011.36
240 rdf:type schema:CreativeWork
241 sg:pub.10.1038/ijo.2011.37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050712894
242 https://doi.org/10.1038/ijo.2011.37
243 rdf:type schema:CreativeWork
244 sg:pub.10.1038/ijo.2014.130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043764740
245 https://doi.org/10.1038/ijo.2014.130
246 rdf:type schema:CreativeWork
247 sg:pub.10.1038/ijo.2014.143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017077450
248 https://doi.org/10.1038/ijo.2014.143
249 rdf:type schema:CreativeWork
250 sg:pub.10.1038/ismej.2010.118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046790587
251 https://doi.org/10.1038/ismej.2010.118
252 rdf:type schema:CreativeWork
253 sg:pub.10.1038/nature05414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023893418
254 https://doi.org/10.1038/nature05414
255 rdf:type schema:CreativeWork
256 sg:pub.10.1038/nature07540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030170002
257 https://doi.org/10.1038/nature07540
258 rdf:type schema:CreativeWork
259 sg:pub.10.1038/nature11319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032682406
260 https://doi.org/10.1038/nature11319
261 rdf:type schema:CreativeWork
262 sg:pub.10.1038/nature12480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000291686
263 https://doi.org/10.1038/nature12480
264 rdf:type schema:CreativeWork
265 sg:pub.10.1038/nature12820 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013830289
266 https://doi.org/10.1038/nature12820
267 rdf:type schema:CreativeWork
268 sg:pub.10.1038/nature18846 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040795996
269 https://doi.org/10.1038/nature18846
270 rdf:type schema:CreativeWork
271 sg:pub.10.1038/nmeth.f.303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009032055
272 https://doi.org/10.1038/nmeth.f.303
273 rdf:type schema:CreativeWork
274 sg:pub.10.1038/srep32826 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033914530
275 https://doi.org/10.1038/srep32826
276 rdf:type schema:CreativeWork
277 sg:pub.10.1186/1471-2105-13-31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047017534
278 https://doi.org/10.1186/1471-2105-13-31
279 rdf:type schema:CreativeWork
280 sg:pub.10.1186/s13073-016-0303-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009930375
281 https://doi.org/10.1186/s13073-016-0303-2
282 rdf:type schema:CreativeWork
283 sg:pub.10.1186/s40168-017-0256-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084252814
284 https://doi.org/10.1186/s40168-017-0256-8
285 rdf:type schema:CreativeWork
286 https://app.dimensions.ai/details/publication/pub.1082363659 schema:CreativeWork
287 https://doi.org/10.1002/oby.20985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049877256
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1016/j.chom.2015.12.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002521967
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1016/j.cmet.2013.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031395350
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1016/j.cmet.2015.07.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039149110
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1016/j.cmet.2015.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022615793
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1016/j.cub.2015.04.055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036530907
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1016/j.tim.2012.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016924644
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1017/s0029665100000318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051346908
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1038/oby.2009.167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042652144
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1073/pnas.1005963107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023427228
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1093/ajcn/86.5.1286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077514746
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1093/bioinformatics/bti394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002571749
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1093/bioinformatics/btq461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025904619
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1093/ibd/izy080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103523247
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1093/ije/dyw317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059676883
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1093/jn/137.3.647 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077374962
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1101/gr.112730.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007579011
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1126/science.1198719 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049041229
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1126/science.1208344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015324311
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1126/science.1241214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048095994
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1126/science.aad3369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049864477
328 rdf:type schema:CreativeWork
329 https://doi.org/10.1136/gut.2008.165886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041802749
330 rdf:type schema:CreativeWork
331 https://doi.org/10.1515/jpem-2017-0246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093164709
332 rdf:type schema:CreativeWork
333 https://doi.org/10.2144/04365st04 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076841942
334 rdf:type schema:CreativeWork
335 https://doi.org/10.2337/dc09-0979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040761733
336 rdf:type schema:CreativeWork
337 https://doi.org/10.2337/dc10-0556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027850039
338 rdf:type schema:CreativeWork
339 https://doi.org/10.3390/nu9020126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083744472
340 rdf:type schema:CreativeWork
341 https://doi.org/10.3945/ajcn.114.088120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029665730
342 rdf:type schema:CreativeWork
343 https://doi.org/10.3945/an.111.000455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034921264
344 rdf:type schema:CreativeWork
345 https://www.grid.ac/institutes/grid.416712.7 schema:alternateName National Institute for Health Development
346 schema:name 3Department of Chronic Diseases, National Institute for Health Development, Hiiu 42, 11619 Tallinn, Estonia.
347 rdf:type schema:Organization
348 https://www.grid.ac/institutes/grid.418465.a schema:alternateName Leibniz Institute for Prevention Research and Epidemiology - BIPS
349 schema:name 2Leibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstraße 30, 28359 Bremen, Germany.
350 rdf:type schema:Organization
351 https://www.grid.ac/institutes/grid.419051.8 schema:alternateName Instituto de Agroquímica y Tecnología de Alimentos
352 schema:name Microbial Ecology, Nutrition & Health Research Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Avda. Catedrático Agustín Escardino 7, 46980 Valencia, Spain.
353 rdf:type schema:Organization
354 https://www.grid.ac/institutes/grid.5342.0 schema:alternateName Ghent University
355 schema:name 9Department of Public Health, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
356 rdf:type schema:Organization
357 https://www.grid.ac/institutes/grid.6292.f schema:alternateName University of Bologna
358 schema:name 1Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy.
359 rdf:type schema:Organization
360 https://www.grid.ac/institutes/grid.8761.8 schema:alternateName University of Gothenburg
361 schema:name 6Section for Epidemiology and Social Medicine, University of Gothenburg, Medicinaregatan 16, 40530 Gothenburg, Sweden.
362 rdf:type schema:Organization
363 https://www.grid.ac/institutes/grid.9679.1 schema:alternateName University of Pecs
364 schema:name 5Department of Paediatrics, Clinical Center, University of Pécs, József Attila u. 7, 7623 Pecs, Hungary.
365 rdf:type schema:Organization
 




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


...