Regional variation limits applications of healthy gut microbiome reference ranges and disease models View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-08-27

AUTHORS

Yan He, Wei Wu, Hui-Min Zheng, Pan Li, Daniel McDonald, Hua-Fang Sheng, Mu-Xuan Chen, Zi-Hui Chen, Gui-Yuan Ji, Zhong-Dai-Xi Zheng, Prabhakar Mujagond, Xiao-Jiao Chen, Zu-Hua Rong, Peng Chen, Li-Yi Lyu, Xian Wang, Chong-Bin Wu, Nan Yu, Yan-Jun Xu, Jia Yin, Jeroen Raes, Rob Knight, Wen-Jun Ma, Hong-Wei Zhou

ABSTRACT

Dysbiosis, departure of the gut microbiome from a healthy state, has been suggested to be a powerful biomarker of disease incidence and progression1–3. Diagnostic applications have been proposed for inflammatory bowel disease diagnosis and prognosis4, colorectal cancer prescreening5 and therapeutic choices in melanoma6. Noninvasive sampling could facilitate large-scale public health applications, including early diagnosis and risk assessment in metabolic7 and cardiovascular diseases8. To understand the generalizability of microbiota-based diagnostic models of metabolic disease, we characterized the gut microbiota of 7,009 individuals from 14 districts within 1 province in China. Among phenotypes, host location showed the strongest associations with microbiota variations. Microbiota-based metabolic disease models developed in one location failed when used elsewhere, suggesting that such models cannot be extrapolated. Interpolated models performed much better, especially in diseases with obvious microbiota-related characteristics. Interpolation efficiency decreased as geographic scale increased, indicating a need to build localized baseline and disease models to predict metabolic risks. More... »

PAGES

1532-1535

References to SciGraph publications

  • 2010-04-11. QIIME allows analysis of high-throughput community sequencing data in NATURE METHODS
  • 2009-10-29. BARCRAWL and BARTAB: software tools for the design and implementation of barcoded primers for highly multiplexed DNA sequencing in BMC BIOINFORMATICS
  • 2012-09-26. Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment in GENOME BIOLOGY
  • 2011-12-01. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2017-10-02. Towards standards for human fecal sample processing in metagenomic studies in NATURE BIOTECHNOLOGY
  • 2015-12-02. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota in NATURE
  • 2018-01-18. Comparative analyses of fecal microbiota in Chinese isolated Yao population, minority Zhuang and rural Han by 16sRNA sequencing in SCIENTIFIC REPORTS
  • 2016-07-06. Microbiome-wide association studies link dynamic microbial consortia to disease in NATURE
  • 2015-05-20. Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity in MICROBIOME
  • 2018-04-01. Current understanding of the human microbiome in NATURE MEDICINE
  • 2012-05-09. Human gut microbiome viewed across age and geography in NATURE
  • 2013-09-17. Functional genomic analyses of the gut microbiota for CRC screening in NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY
  • 2017-09-15. Recent urbanization in China is correlated with a Westernized microbiome encoding increased virulence and antibiotic resistance genes in MICROBIOME
  • 2012-07-12. The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome in GIGASCIENCE
  • 2015-11-04. Context and the human microbiome in MICROBIOME
  • Journal

    TITLE

    Nature Medicine

    ISSUE

    10

    VOLUME

    24

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41591-018-0164-x

    DOI

    http://dx.doi.org/10.1038/s41591-018-0164-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1106199536

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30150716


    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/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Public Health and Health Services", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "China", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gastrointestinal Microbiome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Host-Pathogen Interactions", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolic Diseases", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phylogeography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prognosis", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.417404.2", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "He", 
            "givenName": "Yan", 
            "id": "sg:person.01057646527.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057646527.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.508326.a", 
              "name": [
                "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China", 
                "Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Wei", 
            "id": "sg:person.0772733144.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772733144.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.284723.8", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
                "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zheng", 
            "givenName": "Hui-Min", 
            "id": "sg:person.011557431334.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011557431334.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.284723.8", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
                "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Pan", 
            "id": "sg:person.012355011734.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012355011734.64"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Pediatrics, University of California San Diego, La Jolla, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.266100.3", 
              "name": [
                "Department of Pediatrics, University of California San Diego, La Jolla, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "McDonald", 
            "givenName": "Daniel", 
            "id": "sg:person.01324411177.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324411177.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.417404.2", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sheng", 
            "givenName": "Hua-Fang", 
            "id": "sg:person.0676122006.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676122006.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.417404.2", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Mu-Xuan", 
            "id": "sg:person.015234033713.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015234033713.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.508326.a", 
              "name": [
                "Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Zi-Hui", 
            "id": "sg:person.01250472621.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250472621.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.508326.a", 
              "name": [
                "Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ji", 
            "givenName": "Gui-Yuan", 
            "id": "sg:person.01155735211.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155735211.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.284723.8", 
              "name": [
                "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zheng", 
            "givenName": "Zhong-Dai-Xi", 
            "id": "sg:person.07435223134.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07435223134.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Gut Infection and Inflammation Biology Lab, UNESCO-Regional Center for Biotechnology, NCR Biotech Science Cluster, Faridabad, India", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Gut Infection and Inflammation Biology Lab, UNESCO-Regional Center for Biotechnology, NCR Biotech Science Cluster, Faridabad, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mujagond", 
            "givenName": "Prabhakar", 
            "id": "sg:person.010232603534.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010232603534.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.417404.2", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Xiao-Jiao", 
            "id": "sg:person.011030164134.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011030164134.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.284723.8", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
                "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rong", 
            "givenName": "Zu-Hua", 
            "id": "sg:person.01260171625.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260171625.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Pathophysiology, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.284723.8", 
              "name": [
                "Department of Pathophysiology, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Peng", 
            "id": "sg:person.01116225354.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116225354.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lyu", 
            "givenName": "Li-Yi", 
            "id": "sg:person.011207641304.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011207641304.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Xian", 
            "id": "sg:person.012005221704.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012005221704.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Chong-Bin", 
            "id": "sg:person.014613446534.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014613446534.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.417404.2", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yu", 
            "givenName": "Nan", 
            "id": "sg:person.0674514010.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674514010.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.508326.a", 
              "name": [
                "Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xu", 
            "givenName": "Yan-Jun", 
            "id": "sg:person.01173316633.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173316633.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Neurology, NanFang Hospital, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.416466.7", 
              "name": [
                "Department of Neurology, NanFang Hospital, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yin", 
            "givenName": "Jia", 
            "id": "sg:person.01362332620.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362332620.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Vrije Universiteit Brussel, Faculty of Sciences and Bioengineering Sciences, Microbiology Unit, Brussels, Belgium", 
              "id": "http://www.grid.ac/institutes/grid.8767.e", 
              "name": [
                "Department of Microbiology and Immunology, KU Leuven\u2013University of Leuven, Leuven, Belgium", 
                "VIB, Center for the Biology of Disease, Leuven, Belgium", 
                "Vrije Universiteit Brussel, Faculty of Sciences and Bioengineering Sciences, Microbiology Unit, Brussels, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Raes", 
            "givenName": "Jeroen", 
            "id": "sg:person.0765515705.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765515705.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.266100.3", 
              "name": [
                "Department of Pediatrics, University of California San Diego, La Jolla, CA, USA", 
                "Department of Computer Science & Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA", 
                "Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Knight", 
            "givenName": "Rob", 
            "id": "sg:person.016311745377.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311745377.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.508326.a", 
              "name": [
                "Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ma", 
            "givenName": "Wen-Jun", 
            "id": "sg:person.01113051340.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113051340.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.284723.8", 
              "name": [
                "Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China", 
                "Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China", 
                "State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhou", 
            "givenName": "Hong-Wei", 
            "id": "sg:person.0777466453.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777466453.44"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nbt.3960", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092055967", 
              "https://doi.org/10.1038/nbt.3960"
            ], 
            "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/s40168-015-0117-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028122611", 
              "https://doi.org/10.1186/s40168-015-0117-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-17851-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100351876", 
              "https://doi.org/10.1038/s41598-017-17851-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrgastro.2013.178", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048327279", 
              "https://doi.org/10.1038/nrgastro.2013.178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052378845", 
              "https://doi.org/10.1038/nature11053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2011.139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051863807", 
              "https://doi.org/10.1038/ismej.2011.139"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-10-362", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024254929", 
              "https://doi.org/10.1186/1471-2105-10-362"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature18850", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013019120", 
              "https://doi.org/10.1038/nature18850"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.4517", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103195574", 
              "https://doi.org/10.1038/nm.4517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2012-13-9-r79", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029450096", 
              "https://doi.org/10.1186/gb-2012-13-9-r79"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-015-0081-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029757572", 
              "https://doi.org/10.1186/s40168-015-0081-x"
            ], 
            "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/s40168-017-0338-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091775780", 
              "https://doi.org/10.1186/s40168-017-0338-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2047-217x-1-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050567563", 
              "https://doi.org/10.1186/2047-217x-1-7"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-08-27", 
        "datePublishedReg": "2018-08-27", 
        "description": "Dysbiosis, departure of the gut microbiome from a healthy state, has been suggested to be a powerful biomarker of disease incidence and progression1\u20133. Diagnostic applications have been proposed for inflammatory bowel disease diagnosis and prognosis4, colorectal cancer prescreening5 and therapeutic choices in melanoma6. Noninvasive sampling could facilitate large-scale public health applications, including early diagnosis and risk assessment in metabolic7 and cardiovascular diseases8. To understand the generalizability of microbiota-based diagnostic models of metabolic disease, we characterized the gut microbiota of 7,009 individuals from 14 districts within 1 province in China. Among phenotypes, host location showed the strongest associations with microbiota variations. Microbiota-based metabolic disease models developed in one location failed when used elsewhere, suggesting that such models cannot be extrapolated. Interpolated models performed much better, especially in diseases with obvious microbiota-related characteristics. Interpolation efficiency decreased as geographic scale increased, indicating a need to build localized baseline and disease models to predict metabolic risks.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s41591-018-0164-x", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.8359299", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8189952", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8177112", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1113716", 
            "issn": [
              "1078-8956", 
              "1546-170X"
            ], 
            "name": "Nature Medicine", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "10", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "24"
          }
        ], 
        "keywords": [
          "disease models", 
          "inflammatory bowel disease diagnosis", 
          "metabolic disease models", 
          "metabolic risk", 
          "therapeutic choice", 
          "early diagnosis", 
          "gut microbiota", 
          "metabolic diseases", 
          "reference range", 
          "gut microbiome", 
          "powerful biomarker", 
          "strong association", 
          "public health applications", 
          "microbiota variation", 
          "disease", 
          "diagnosis", 
          "microbiota", 
          "healthy state", 
          "disease diagnosis", 
          "disease incidence", 
          "dysbiosis", 
          "risk assessment", 
          "health applications", 
          "incidence", 
          "regional variation", 
          "baseline", 
          "biomarkers", 
          "risk", 
          "diagnostic model", 
          "noninvasive sampling", 
          "association", 
          "microbiome", 
          "phenotype", 
          "diagnostic applications", 
          "individuals", 
          "assessment", 
          "generalizability", 
          "need", 
          "interpolated model", 
          "location", 
          "model", 
          "sampling", 
          "district", 
          "choice", 
          "scale", 
          "characteristics", 
          "Province", 
          "variation", 
          "state", 
          "host location", 
          "range", 
          "China", 
          "applications", 
          "such models", 
          "efficiency", 
          "departure", 
          "geographic scales", 
          "interpolation efficiency"
        ], 
        "name": "Regional variation limits applications of healthy gut microbiome reference ranges and disease models", 
        "pagination": "1532-1535", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1106199536"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41591-018-0164-x"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30150716"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41591-018-0164-x", 
          "https://app.dimensions.ai/details/publication/pub.1106199536"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-05-10T10:19", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_765.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s41591-018-0164-x"
      }
    ]
     

    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/s41591-018-0164-x'

    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/s41591-018-0164-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41591-018-0164-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41591-018-0164-x'


     

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

    416 TRIPLES      22 PREDICATES      108 URIs      85 LITERALS      16 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41591-018-0164-x schema:about N0d5b36c5d03b41f5ae9c1a6504350f51
    2 N339fa8c163a74a78aefadd312dc36c36
    3 N41815a47dbd54564a1bec6fec4d78a3d
    4 N559f33b9a61646d3b1605ed1ce8d91f1
    5 N88dd6a073aad4c289dd2bb59d01d8ce2
    6 Nae3fa2f13bb148c088f2f68d4fa5aaf4
    7 Neaf8b8d698b746efa74eb5abff74830e
    8 Neca73b1d250c480d8741e633f685b69c
    9 Nfc3b4e1812df42948c95cb4d72bfe42a
    10 anzsrc-for:11
    11 anzsrc-for:1117
    12 schema:author N871a33752f864c58b6af306d11f7891b
    13 schema:citation sg:pub.10.1038/ismej.2011.139
    14 sg:pub.10.1038/nature11053
    15 sg:pub.10.1038/nature15766
    16 sg:pub.10.1038/nature18850
    17 sg:pub.10.1038/nbt.3960
    18 sg:pub.10.1038/nm.4517
    19 sg:pub.10.1038/nmeth.f.303
    20 sg:pub.10.1038/nrgastro.2013.178
    21 sg:pub.10.1038/s41598-017-17851-8
    22 sg:pub.10.1186/1471-2105-10-362
    23 sg:pub.10.1186/2047-217x-1-7
    24 sg:pub.10.1186/gb-2012-13-9-r79
    25 sg:pub.10.1186/s40168-015-0081-x
    26 sg:pub.10.1186/s40168-015-0117-2
    27 sg:pub.10.1186/s40168-017-0338-7
    28 schema:datePublished 2018-08-27
    29 schema:datePublishedReg 2018-08-27
    30 schema:description Dysbiosis, departure of the gut microbiome from a healthy state, has been suggested to be a powerful biomarker of disease incidence and progression1–3. Diagnostic applications have been proposed for inflammatory bowel disease diagnosis and prognosis4, colorectal cancer prescreening5 and therapeutic choices in melanoma6. Noninvasive sampling could facilitate large-scale public health applications, including early diagnosis and risk assessment in metabolic7 and cardiovascular diseases8. To understand the generalizability of microbiota-based diagnostic models of metabolic disease, we characterized the gut microbiota of 7,009 individuals from 14 districts within 1 province in China. Among phenotypes, host location showed the strongest associations with microbiota variations. Microbiota-based metabolic disease models developed in one location failed when used elsewhere, suggesting that such models cannot be extrapolated. Interpolated models performed much better, especially in diseases with obvious microbiota-related characteristics. Interpolation efficiency decreased as geographic scale increased, indicating a need to build localized baseline and disease models to predict metabolic risks.
    31 schema:genre article
    32 schema:inLanguage en
    33 schema:isAccessibleForFree false
    34 schema:isPartOf N1ce5b6fc59424dca94d4b8c9de83c9ce
    35 Na8997ce63f0f4ec78f938b25350c8919
    36 sg:journal.1113716
    37 schema:keywords China
    38 Province
    39 applications
    40 assessment
    41 association
    42 baseline
    43 biomarkers
    44 characteristics
    45 choice
    46 departure
    47 diagnosis
    48 diagnostic applications
    49 diagnostic model
    50 disease
    51 disease diagnosis
    52 disease incidence
    53 disease models
    54 district
    55 dysbiosis
    56 early diagnosis
    57 efficiency
    58 generalizability
    59 geographic scales
    60 gut microbiome
    61 gut microbiota
    62 health applications
    63 healthy state
    64 host location
    65 incidence
    66 individuals
    67 inflammatory bowel disease diagnosis
    68 interpolated model
    69 interpolation efficiency
    70 location
    71 metabolic disease models
    72 metabolic diseases
    73 metabolic risk
    74 microbiome
    75 microbiota
    76 microbiota variation
    77 model
    78 need
    79 noninvasive sampling
    80 phenotype
    81 powerful biomarker
    82 public health applications
    83 range
    84 reference range
    85 regional variation
    86 risk
    87 risk assessment
    88 sampling
    89 scale
    90 state
    91 strong association
    92 such models
    93 therapeutic choice
    94 variation
    95 schema:name Regional variation limits applications of healthy gut microbiome reference ranges and disease models
    96 schema:pagination 1532-1535
    97 schema:productId Nd3ca2cdb204f46a0baefdddd27ebce79
    98 Nf03bde06e4304f929925ebfdef7dc2ff
    99 Nfbc8dcf9a3374fcf96f5d77f56a90803
    100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106199536
    101 https://doi.org/10.1038/s41591-018-0164-x
    102 schema:sdDatePublished 2022-05-10T10:19
    103 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    104 schema:sdPublisher Ndc3d00d64810439b9c68ab6daf5d249d
    105 schema:url https://doi.org/10.1038/s41591-018-0164-x
    106 sgo:license sg:explorer/license/
    107 sgo:sdDataset articles
    108 rdf:type schema:ScholarlyArticle
    109 N0d5b36c5d03b41f5ae9c1a6504350f51 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Male
    111 rdf:type schema:DefinedTerm
    112 N1ce5b6fc59424dca94d4b8c9de83c9ce schema:volumeNumber 24
    113 rdf:type schema:PublicationVolume
    114 N27d7808d2b014d6f92d1741c5ba94384 rdf:first sg:person.01113051340.35
    115 rdf:rest N82fb128ee89e487c8aac9d30cf20c8eb
    116 N3281a88b644f4e9b86647a63d1e9fea8 rdf:first sg:person.01260171625.59
    117 rdf:rest Nb5f8bccd54014396be3d1c923fc3b96d
    118 N339fa8c163a74a78aefadd312dc36c36 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Metabolic Diseases
    120 rdf:type schema:DefinedTerm
    121 N41815a47dbd54564a1bec6fec4d78a3d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    122 schema:name China
    123 rdf:type schema:DefinedTerm
    124 N5571c43abb6049c89ac648e8828a0bb9 rdf:first sg:person.011030164134.47
    125 rdf:rest N3281a88b644f4e9b86647a63d1e9fea8
    126 N559f33b9a61646d3b1605ed1ce8d91f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    127 schema:name Female
    128 rdf:type schema:DefinedTerm
    129 N60e7ca8a2edb4f19a162f76dbd6d0a34 rdf:first sg:person.011207641304.86
    130 rdf:rest N7f43807c05b248cb85de59de797e85a1
    131 N6d5b1b2745054b598693da762a8bde80 rdf:first sg:person.014613446534.88
    132 rdf:rest Nff5269af7db14e3fa18e9b036f198a16
    133 N771412ec5b1448a5ac5f24fc37ab0421 rdf:first sg:person.01173316633.47
    134 rdf:rest Ndf85c18c4c0a475c9f6bd7362666e6ee
    135 N7a683283d9804a38aae9f6732384b89d rdf:first sg:person.0676122006.18
    136 rdf:rest Ne1af50a5084c46459f1e45b081635975
    137 N7f43807c05b248cb85de59de797e85a1 rdf:first sg:person.012005221704.76
    138 rdf:rest N6d5b1b2745054b598693da762a8bde80
    139 N82fb128ee89e487c8aac9d30cf20c8eb rdf:first sg:person.0777466453.44
    140 rdf:rest rdf:nil
    141 N871a33752f864c58b6af306d11f7891b rdf:first sg:person.01057646527.26
    142 rdf:rest Na477eef8c1404132a60d9f502506537c
    143 N88dd6a073aad4c289dd2bb59d01d8ce2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Humans
    145 rdf:type schema:DefinedTerm
    146 Na477eef8c1404132a60d9f502506537c rdf:first sg:person.0772733144.12
    147 rdf:rest Nda44fa3e501a4d3ead53218080e1342d
    148 Na7695c5888c142c09e16cde0ab4c32a4 rdf:first sg:person.010232603534.58
    149 rdf:rest N5571c43abb6049c89ac648e8828a0bb9
    150 Na8997ce63f0f4ec78f938b25350c8919 schema:issueNumber 10
    151 rdf:type schema:PublicationIssue
    152 Nae3fa2f13bb148c088f2f68d4fa5aaf4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Host-Pathogen Interactions
    154 rdf:type schema:DefinedTerm
    155 Nb5f8bccd54014396be3d1c923fc3b96d rdf:first sg:person.01116225354.28
    156 rdf:rest N60e7ca8a2edb4f19a162f76dbd6d0a34
    157 Nb637496f867f4066ba2879c17300c160 rdf:first sg:person.016311745377.96
    158 rdf:rest N27d7808d2b014d6f92d1741c5ba94384
    159 Nbf90c22a761b4e1588d86ff596f1d5c1 rdf:first sg:person.01155735211.40
    160 rdf:rest Nce6f90244e384e1a99f4799299124595
    161 Nc9a0fafce4044aa898b2581deca42d5a rdf:first sg:person.01324411177.44
    162 rdf:rest N7a683283d9804a38aae9f6732384b89d
    163 Ncc30c452caa54285aa6210e6beceb855 rdf:first sg:person.012355011734.64
    164 rdf:rest Nc9a0fafce4044aa898b2581deca42d5a
    165 Nce6f90244e384e1a99f4799299124595 rdf:first sg:person.07435223134.31
    166 rdf:rest Na7695c5888c142c09e16cde0ab4c32a4
    167 Nd3ca2cdb204f46a0baefdddd27ebce79 schema:name doi
    168 schema:value 10.1038/s41591-018-0164-x
    169 rdf:type schema:PropertyValue
    170 Nda44fa3e501a4d3ead53218080e1342d rdf:first sg:person.011557431334.96
    171 rdf:rest Ncc30c452caa54285aa6210e6beceb855
    172 Ndc3d00d64810439b9c68ab6daf5d249d schema:name Springer Nature - SN SciGraph project
    173 rdf:type schema:Organization
    174 Ndf85c18c4c0a475c9f6bd7362666e6ee rdf:first sg:person.01362332620.71
    175 rdf:rest Ne066821952da485fb8dab5a245b6fa69
    176 Ne066821952da485fb8dab5a245b6fa69 rdf:first sg:person.0765515705.86
    177 rdf:rest Nb637496f867f4066ba2879c17300c160
    178 Ne1af50a5084c46459f1e45b081635975 rdf:first sg:person.015234033713.30
    179 rdf:rest Nf9adb89db4034c228c4e4a4d20e19578
    180 Neaf8b8d698b746efa74eb5abff74830e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    181 schema:name Phylogeography
    182 rdf:type schema:DefinedTerm
    183 Neca73b1d250c480d8741e633f685b69c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Gastrointestinal Microbiome
    185 rdf:type schema:DefinedTerm
    186 Nf03bde06e4304f929925ebfdef7dc2ff schema:name pubmed_id
    187 schema:value 30150716
    188 rdf:type schema:PropertyValue
    189 Nf9adb89db4034c228c4e4a4d20e19578 rdf:first sg:person.01250472621.41
    190 rdf:rest Nbf90c22a761b4e1588d86ff596f1d5c1
    191 Nfbc8dcf9a3374fcf96f5d77f56a90803 schema:name dimensions_id
    192 schema:value pub.1106199536
    193 rdf:type schema:PropertyValue
    194 Nfc3b4e1812df42948c95cb4d72bfe42a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    195 schema:name Prognosis
    196 rdf:type schema:DefinedTerm
    197 Nff5269af7db14e3fa18e9b036f198a16 rdf:first sg:person.0674514010.21
    198 rdf:rest N771412ec5b1448a5ac5f24fc37ab0421
    199 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    200 schema:name Medical and Health Sciences
    201 rdf:type schema:DefinedTerm
    202 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
    203 schema:name Public Health and Health Services
    204 rdf:type schema:DefinedTerm
    205 sg:grant.8177112 http://pending.schema.org/fundedItem sg:pub.10.1038/s41591-018-0164-x
    206 rdf:type schema:MonetaryGrant
    207 sg:grant.8189952 http://pending.schema.org/fundedItem sg:pub.10.1038/s41591-018-0164-x
    208 rdf:type schema:MonetaryGrant
    209 sg:grant.8359299 http://pending.schema.org/fundedItem sg:pub.10.1038/s41591-018-0164-x
    210 rdf:type schema:MonetaryGrant
    211 sg:journal.1113716 schema:issn 1078-8956
    212 1546-170X
    213 schema:name Nature Medicine
    214 schema:publisher Springer Nature
    215 rdf:type schema:Periodical
    216 sg:person.010232603534.58 schema:affiliation grid-institutes:None
    217 schema:familyName Mujagond
    218 schema:givenName Prabhakar
    219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010232603534.58
    220 rdf:type schema:Person
    221 sg:person.01057646527.26 schema:affiliation grid-institutes:grid.417404.2
    222 schema:familyName He
    223 schema:givenName Yan
    224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057646527.26
    225 rdf:type schema:Person
    226 sg:person.011030164134.47 schema:affiliation grid-institutes:grid.417404.2
    227 schema:familyName Chen
    228 schema:givenName Xiao-Jiao
    229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011030164134.47
    230 rdf:type schema:Person
    231 sg:person.01113051340.35 schema:affiliation grid-institutes:grid.508326.a
    232 schema:familyName Ma
    233 schema:givenName Wen-Jun
    234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113051340.35
    235 rdf:type schema:Person
    236 sg:person.01116225354.28 schema:affiliation grid-institutes:grid.284723.8
    237 schema:familyName Chen
    238 schema:givenName Peng
    239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116225354.28
    240 rdf:type schema:Person
    241 sg:person.011207641304.86 schema:affiliation grid-institutes:None
    242 schema:familyName Lyu
    243 schema:givenName Li-Yi
    244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011207641304.86
    245 rdf:type schema:Person
    246 sg:person.01155735211.40 schema:affiliation grid-institutes:grid.508326.a
    247 schema:familyName Ji
    248 schema:givenName Gui-Yuan
    249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155735211.40
    250 rdf:type schema:Person
    251 sg:person.011557431334.96 schema:affiliation grid-institutes:grid.284723.8
    252 schema:familyName Zheng
    253 schema:givenName Hui-Min
    254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011557431334.96
    255 rdf:type schema:Person
    256 sg:person.01173316633.47 schema:affiliation grid-institutes:grid.508326.a
    257 schema:familyName Xu
    258 schema:givenName Yan-Jun
    259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173316633.47
    260 rdf:type schema:Person
    261 sg:person.012005221704.76 schema:affiliation grid-institutes:None
    262 schema:familyName Wang
    263 schema:givenName Xian
    264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012005221704.76
    265 rdf:type schema:Person
    266 sg:person.012355011734.64 schema:affiliation grid-institutes:grid.284723.8
    267 schema:familyName Li
    268 schema:givenName Pan
    269 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012355011734.64
    270 rdf:type schema:Person
    271 sg:person.01250472621.41 schema:affiliation grid-institutes:grid.508326.a
    272 schema:familyName Chen
    273 schema:givenName Zi-Hui
    274 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250472621.41
    275 rdf:type schema:Person
    276 sg:person.01260171625.59 schema:affiliation grid-institutes:grid.284723.8
    277 schema:familyName Rong
    278 schema:givenName Zu-Hua
    279 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260171625.59
    280 rdf:type schema:Person
    281 sg:person.01324411177.44 schema:affiliation grid-institutes:grid.266100.3
    282 schema:familyName McDonald
    283 schema:givenName Daniel
    284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324411177.44
    285 rdf:type schema:Person
    286 sg:person.01362332620.71 schema:affiliation grid-institutes:grid.416466.7
    287 schema:familyName Yin
    288 schema:givenName Jia
    289 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362332620.71
    290 rdf:type schema:Person
    291 sg:person.014613446534.88 schema:affiliation grid-institutes:None
    292 schema:familyName Wu
    293 schema:givenName Chong-Bin
    294 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014613446534.88
    295 rdf:type schema:Person
    296 sg:person.015234033713.30 schema:affiliation grid-institutes:grid.417404.2
    297 schema:familyName Chen
    298 schema:givenName Mu-Xuan
    299 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015234033713.30
    300 rdf:type schema:Person
    301 sg:person.016311745377.96 schema:affiliation grid-institutes:grid.266100.3
    302 schema:familyName Knight
    303 schema:givenName Rob
    304 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311745377.96
    305 rdf:type schema:Person
    306 sg:person.0674514010.21 schema:affiliation grid-institutes:grid.417404.2
    307 schema:familyName Yu
    308 schema:givenName Nan
    309 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674514010.21
    310 rdf:type schema:Person
    311 sg:person.0676122006.18 schema:affiliation grid-institutes:grid.417404.2
    312 schema:familyName Sheng
    313 schema:givenName Hua-Fang
    314 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676122006.18
    315 rdf:type schema:Person
    316 sg:person.07435223134.31 schema:affiliation grid-institutes:grid.284723.8
    317 schema:familyName Zheng
    318 schema:givenName Zhong-Dai-Xi
    319 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07435223134.31
    320 rdf:type schema:Person
    321 sg:person.0765515705.86 schema:affiliation grid-institutes:grid.8767.e
    322 schema:familyName Raes
    323 schema:givenName Jeroen
    324 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765515705.86
    325 rdf:type schema:Person
    326 sg:person.0772733144.12 schema:affiliation grid-institutes:grid.508326.a
    327 schema:familyName Wu
    328 schema:givenName Wei
    329 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772733144.12
    330 rdf:type schema:Person
    331 sg:person.0777466453.44 schema:affiliation grid-institutes:grid.284723.8
    332 schema:familyName Zhou
    333 schema:givenName Hong-Wei
    334 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777466453.44
    335 rdf:type schema:Person
    336 sg:pub.10.1038/ismej.2011.139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051863807
    337 https://doi.org/10.1038/ismej.2011.139
    338 rdf:type schema:CreativeWork
    339 sg:pub.10.1038/nature11053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052378845
    340 https://doi.org/10.1038/nature11053
    341 rdf:type schema:CreativeWork
    342 sg:pub.10.1038/nature15766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014535385
    343 https://doi.org/10.1038/nature15766
    344 rdf:type schema:CreativeWork
    345 sg:pub.10.1038/nature18850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013019120
    346 https://doi.org/10.1038/nature18850
    347 rdf:type schema:CreativeWork
    348 sg:pub.10.1038/nbt.3960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092055967
    349 https://doi.org/10.1038/nbt.3960
    350 rdf:type schema:CreativeWork
    351 sg:pub.10.1038/nm.4517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103195574
    352 https://doi.org/10.1038/nm.4517
    353 rdf:type schema:CreativeWork
    354 sg:pub.10.1038/nmeth.f.303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009032055
    355 https://doi.org/10.1038/nmeth.f.303
    356 rdf:type schema:CreativeWork
    357 sg:pub.10.1038/nrgastro.2013.178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048327279
    358 https://doi.org/10.1038/nrgastro.2013.178
    359 rdf:type schema:CreativeWork
    360 sg:pub.10.1038/s41598-017-17851-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100351876
    361 https://doi.org/10.1038/s41598-017-17851-8
    362 rdf:type schema:CreativeWork
    363 sg:pub.10.1186/1471-2105-10-362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024254929
    364 https://doi.org/10.1186/1471-2105-10-362
    365 rdf:type schema:CreativeWork
    366 sg:pub.10.1186/2047-217x-1-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050567563
    367 https://doi.org/10.1186/2047-217x-1-7
    368 rdf:type schema:CreativeWork
    369 sg:pub.10.1186/gb-2012-13-9-r79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029450096
    370 https://doi.org/10.1186/gb-2012-13-9-r79
    371 rdf:type schema:CreativeWork
    372 sg:pub.10.1186/s40168-015-0081-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029757572
    373 https://doi.org/10.1186/s40168-015-0081-x
    374 rdf:type schema:CreativeWork
    375 sg:pub.10.1186/s40168-015-0117-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028122611
    376 https://doi.org/10.1186/s40168-015-0117-2
    377 rdf:type schema:CreativeWork
    378 sg:pub.10.1186/s40168-017-0338-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091775780
    379 https://doi.org/10.1186/s40168-017-0338-7
    380 rdf:type schema:CreativeWork
    381 grid-institutes:None schema:alternateName Gut Infection and Inflammation Biology Lab, UNESCO-Regional Center for Biotechnology, NCR Biotech Science Cluster, Faridabad, India
    382 Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China
    383 schema:name Gut Infection and Inflammation Biology Lab, UNESCO-Regional Center for Biotechnology, NCR Biotech Science Cluster, Faridabad, India
    384 Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China
    385 rdf:type schema:Organization
    386 grid-institutes:grid.266100.3 schema:alternateName Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
    387 Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
    388 schema:name Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
    389 Department of Computer Science & Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
    390 Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
    391 rdf:type schema:Organization
    392 grid-institutes:grid.284723.8 schema:alternateName Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China
    393 Department of Pathophysiology, Southern Medical University, Guangzhou, China
    394 State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China
    395 schema:name Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China
    396 Department of Pathophysiology, Southern Medical University, Guangzhou, China
    397 Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
    398 State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China
    399 rdf:type schema:Organization
    400 grid-institutes:grid.416466.7 schema:alternateName Department of Neurology, NanFang Hospital, Southern Medical University, Guangzhou, China
    401 schema:name Department of Neurology, NanFang Hospital, Southern Medical University, Guangzhou, China
    402 rdf:type schema:Organization
    403 grid-institutes:grid.417404.2 schema:alternateName Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
    404 schema:name Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
    405 rdf:type schema:Organization
    406 grid-institutes:grid.508326.a schema:alternateName Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
    407 Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
    408 schema:name Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China
    409 Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
    410 Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
    411 rdf:type schema:Organization
    412 grid-institutes:grid.8767.e schema:alternateName Vrije Universiteit Brussel, Faculty of Sciences and Bioengineering Sciences, Microbiology Unit, Brussels, Belgium
    413 schema:name Department of Microbiology and Immunology, KU Leuven–University of Leuven, Leuven, Belgium
    414 VIB, Center for the Biology of Disease, Leuven, Belgium
    415 Vrije Universiteit Brussel, Faculty of Sciences and Bioengineering Sciences, Microbiology Unit, Brussels, Belgium
    416 rdf:type schema:Organization
     




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


    ...