Effects of bowel preparation on the human gut microbiome and metabolome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Naoyoshi Nagata, Mari Tohya, Shinji Fukuda, Wataru Suda, Suguru Nishijima, Fumihiko Takeuchi, Mitsuru Ohsugi, Tetsuro Tsujimoto, Tomoka Nakamura, Akira Shimomura, Naohiro Yanagisawa, Yuya Hisada, Kazuhiro Watanabe, Koh Imbe, Junichi Akiyama, Masashi Mizokami, Tohru Miyoshi-Akiyama, Naomi Uemura, Masahira Hattori

ABSTRACT

Large bowel preparation may cause a substantial change in the gut microbiota and metabolites. Here, we included a bowel prep group and a no-procedure control group and evaluated the effects of bowel prep on the stability of the gut microbiome and metabolome as well as on recovery. Gut microbiota and metabolome compositions were analyzed by 16S rRNA sequencing and capillary electrophoresis time-of-flight mass spectrometry, respectively. Analysis of coefficients at the genus and species level and weighted UniFrac distance showed that, compared with controls, microbiota composition was significantly reduced immediately after the prep but not at 14 days after it. For the gut metabolome profiles, correlation coefficients between before and immediately after the prep were significantly lower than those between before and 14 days after prep and were not significantly different compared with those for between-subject differences. Thirty-two metabolites were significantly changed before and immediately after the prep, but these metabolites recovered within 14 days. In conclusion, bowel preparation has a profound effect on the gut microbiome and metabolome, but the overall composition recovers to baseline within 14 days. To properly conduct studies of the human gut microbiome and metabolome, fecal sampling should be avoided immediately after bowel prep. More... »

PAGES

4042

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-40182-9

DOI

http://dx.doi.org/10.1038/s41598-019-40182-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112674440

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30858400


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/2008/0301", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Analytical Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagata", 
        "givenName": "Naoyoshi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Juntendo University", 
          "id": "https://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Pathogenic Microbe Laboratory, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan", 
            "Department of Microbiology, Juntendo University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tohya", 
        "givenName": "Mari", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Science and Technology Agency", 
          "id": "https://www.grid.ac/institutes/grid.419082.6", 
          "name": [
            "Institute for Advanced Biosciences, Keio University, Tokyo, Japan", 
            "Intestinal Microbiota Project, Kanagawa Institute of Industrial Science and Technology, Ebina, Japan", 
            "Transborder Medical Research Center, University of Tsukuba, Tsukuba, Japan", 
            "PRESTO, Japan Science and Technology Agency, Kawaguchi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukuda", 
        "givenName": "Shinji", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "RIKEN Center for Integrative Medical Sciences, Wako, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suda", 
        "givenName": "Wataru", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Waseda University", 
          "id": "https://www.grid.ac/institutes/grid.5290.e", 
          "name": [
            "Computational Bio-Big Data Open Innovation Lab., National Institute of Advanced Science and Technology, Tokyo, Japan", 
            "Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishijima", 
        "givenName": "Suguru", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gene Diagnostics and Therapeutics, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takeuchi", 
        "givenName": "Fumihiko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Diabetes, Endocrinology, and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohsugi", 
        "givenName": "Mitsuru", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Diabetes, Endocrinology, and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsujimoto", 
        "givenName": "Tetsuro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Diabetes, Endocrinology, and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakamura", 
        "givenName": "Tomoka", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimomura", 
        "givenName": "Akira", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yanagisawa", 
        "givenName": "Naohiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hisada", 
        "givenName": "Yuya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Kazuhiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Imbe", 
        "givenName": "Koh", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Akiyama", 
        "givenName": "Junichi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Kohnodai Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mizokami", 
        "givenName": "Masashi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Pathogenic Microbe Laboratory, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyoshi-Akiyama", 
        "givenName": "Tohru", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center For Global Health and Medicine", 
          "id": "https://www.grid.ac/institutes/grid.45203.30", 
          "name": [
            "Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Kohnodai Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uemura", 
        "givenName": "Naomi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Waseda University", 
          "id": "https://www.grid.ac/institutes/grid.5290.e", 
          "name": [
            "Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan", 
            "RIKEN Center for Integrative Medical Sciences, Wako, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hattori", 
        "givenName": "Masahira", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/meg.0000000000000581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007484918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/meg.0000000000000581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007484918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/dnares/dst006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010904460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0055817", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010919406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0054710", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013326987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gutjnl-2014-307240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014629741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ctg.2015.54", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026026372", 
          "https://doi.org/10.1038/ctg.2015.54"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nri.2016.42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026888087", 
          "https://doi.org/10.1038/nri.2016.42"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gutjnl-2016-311937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026931490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0119355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034400210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0032545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039913947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2010.133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042916034", 
          "https://doi.org/10.1038/ismej.2010.133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcmgh.2016.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044483804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0062815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050207294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077588037", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-017-10834-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091449585", 
          "https://doi.org/10.1038/s41598-017-10834-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-017-10834-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091449585", 
          "https://doi.org/10.1038/s41598-017-10834-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2018.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104550312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2018.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104550312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2018.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104550312"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Large bowel preparation may cause a substantial change in the gut microbiota and metabolites. Here, we included a bowel prep group and a no-procedure control group and evaluated the effects of bowel prep on the stability of the gut microbiome and metabolome as well as on recovery. Gut microbiota and metabolome compositions were analyzed by 16S rRNA sequencing and capillary electrophoresis time-of-flight mass spectrometry, respectively. Analysis of coefficients at the genus and species level and weighted UniFrac distance showed that, compared with controls, microbiota composition was significantly reduced immediately after the prep but not at 14 days after it. For the gut metabolome profiles, correlation coefficients between before and immediately after the prep were significantly lower than those between before and 14 days after prep and were not significantly different compared with those for between-subject differences. Thirty-two metabolites were significantly changed before and immediately after the prep, but these metabolites recovered within 14 days. In conclusion, bowel preparation has a profound effect on the gut microbiome and metabolome, but the overall composition recovers to baseline within 14 days. To properly conduct studies of the human gut microbiome and metabolome, fecal sampling should be avoided immediately after bowel prep.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-40182-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6834877", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Effects of bowel preparation on the human gut microbiome and metabolome", 
    "pagination": "4042", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0c839cf7d55079e21cab84585aa3ebcba4869445c159f05fa4eefe581924c9c6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30858400"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-40182-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112674440"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-40182-9", 
      "https://app.dimensions.ai/details/publication/pub.1112674440"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:20", 
    "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/v90/0000000368_0000000368/records_78965_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-40182-9"
  }
]
 

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/s41598-019-40182-9'

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/s41598-019-40182-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40182-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40182-9'


 

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

249 TRIPLES      21 PREDICATES      45 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-40182-9 schema:about anzsrc-for:03
2 anzsrc-for:0301
3 schema:author N5a611ababc6d4461b8523a68fd28a19b
4 schema:citation sg:pub.10.1038/ctg.2015.54
5 sg:pub.10.1038/ismej.2010.133
6 sg:pub.10.1038/nri.2016.42
7 sg:pub.10.1038/s41598-017-10834-9
8 https://app.dimensions.ai/details/publication/pub.1077588037
9 https://doi.org/10.1016/j.cell.2018.05.008
10 https://doi.org/10.1016/j.jcmgh.2016.02.003
11 https://doi.org/10.1093/dnares/dst006
12 https://doi.org/10.1097/meg.0000000000000581
13 https://doi.org/10.1136/gutjnl-2014-307240
14 https://doi.org/10.1136/gutjnl-2016-311937
15 https://doi.org/10.1371/journal.pone.0032545
16 https://doi.org/10.1371/journal.pone.0054710
17 https://doi.org/10.1371/journal.pone.0055817
18 https://doi.org/10.1371/journal.pone.0062815
19 https://doi.org/10.1371/journal.pone.0119355
20 schema:datePublished 2019-12
21 schema:datePublishedReg 2019-12-01
22 schema:description Large bowel preparation may cause a substantial change in the gut microbiota and metabolites. Here, we included a bowel prep group and a no-procedure control group and evaluated the effects of bowel prep on the stability of the gut microbiome and metabolome as well as on recovery. Gut microbiota and metabolome compositions were analyzed by 16S rRNA sequencing and capillary electrophoresis time-of-flight mass spectrometry, respectively. Analysis of coefficients at the genus and species level and weighted UniFrac distance showed that, compared with controls, microbiota composition was significantly reduced immediately after the prep but not at 14 days after it. For the gut metabolome profiles, correlation coefficients between before and immediately after the prep were significantly lower than those between before and 14 days after prep and were not significantly different compared with those for between-subject differences. Thirty-two metabolites were significantly changed before and immediately after the prep, but these metabolites recovered within 14 days. In conclusion, bowel preparation has a profound effect on the gut microbiome and metabolome, but the overall composition recovers to baseline within 14 days. To properly conduct studies of the human gut microbiome and metabolome, fecal sampling should be avoided immediately after bowel prep.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree true
26 schema:isPartOf N2f18045f37334fcaa87bde88aa936410
27 Nc6e91a4109d2478fb4ef8d403abc8d98
28 sg:journal.1045337
29 schema:name Effects of bowel preparation on the human gut microbiome and metabolome
30 schema:pagination 4042
31 schema:productId N5eba4c31b75a42119dc0bdab11077a31
32 N893780237ff147c597f452d2ec77a6be
33 Nb4db33f40144426380aced091951574e
34 Ncb471794376a4b9ab357c997ddcc413e
35 Nce641978b09b4cfd81f041b5f2bb699b
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112674440
37 https://doi.org/10.1038/s41598-019-40182-9
38 schema:sdDatePublished 2019-04-11T13:20
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N7ecc94a049374cafb9ea3d3dd55969f0
41 schema:url https://www.nature.com/articles/s41598-019-40182-9
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N00ab2b1e64e44ba399573b4d1b7a43cd schema:affiliation https://www.grid.ac/institutes/grid.258269.2
46 schema:familyName Tohya
47 schema:givenName Mari
48 rdf:type schema:Person
49 N00b609f9808242b78c04a60aa4eb6352 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
50 schema:familyName Imbe
51 schema:givenName Koh
52 rdf:type schema:Person
53 N0b94ed1e08d546508883545bb42bd571 schema:affiliation N1a3ca50b1b8f4953b136be03206c9a52
54 schema:familyName Suda
55 schema:givenName Wataru
56 rdf:type schema:Person
57 N16303e210189418e81b27ba3ef66ddfe rdf:first Nb531495f397a49128fde35282762bca4
58 rdf:rest rdf:nil
59 N1a3ca50b1b8f4953b136be03206c9a52 schema:name RIKEN Center for Integrative Medical Sciences, Wako, Japan
60 rdf:type schema:Organization
61 N1f81337397364b99847f2f3a6da85956 rdf:first N8873ab6ea18343a6a55d983a73e56177
62 rdf:rest N852713b2bc0e49cdb0aead170cca0924
63 N224a2431be2646f5ac72862415c1e2b2 rdf:first N9f93146cb646427194fad83ec18e5a71
64 rdf:rest Nc7a198829bdc407db662456c1776ebce
65 N2551d656b33640cdbd428206c7fb69ef rdf:first N27013951686c492495c8f0e0591c48e2
66 rdf:rest N3096ba6701014ea6b4bf2f1ca540e6a5
67 N27013951686c492495c8f0e0591c48e2 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
68 schema:familyName Ohsugi
69 schema:givenName Mitsuru
70 rdf:type schema:Person
71 N2f18045f37334fcaa87bde88aa936410 schema:volumeNumber 9
72 rdf:type schema:PublicationVolume
73 N3096ba6701014ea6b4bf2f1ca540e6a5 rdf:first N9c64244c2b3d4d7ab4fa7b96ecfdb80d
74 rdf:rest N31dab8fbddb84c4dbee52efaaed5d6b1
75 N31dab8fbddb84c4dbee52efaaed5d6b1 rdf:first Nb964c1e8884641ee8f116aefbbb615c8
76 rdf:rest N224a2431be2646f5ac72862415c1e2b2
77 N38b830db411341f88c603d99c7268e6d rdf:first Nd31d4ad0642e4f5d8bde8440f22da14f
78 rdf:rest N864f8dab2f764c8e85666ca32f0617cb
79 N3b5faa24544141f49eb5ac7f0b209689 rdf:first N00ab2b1e64e44ba399573b4d1b7a43cd
80 rdf:rest Nab05447865ca43a9b08b52d9188d93e2
81 N4f6e53cc0fe447b7911c3edaaf157e8d schema:affiliation https://www.grid.ac/institutes/grid.419082.6
82 schema:familyName Fukuda
83 schema:givenName Shinji
84 rdf:type schema:Person
85 N500f5c05755e47d9965387a01ed03005 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
86 schema:familyName Miyoshi-Akiyama
87 schema:givenName Tohru
88 rdf:type schema:Person
89 N5732b464a561414b9f5b2a0e1c177e8a schema:affiliation https://www.grid.ac/institutes/grid.45203.30
90 schema:familyName Yanagisawa
91 schema:givenName Naohiro
92 rdf:type schema:Person
93 N5a611ababc6d4461b8523a68fd28a19b rdf:first N94d121b1a99c499792f13cfe05386c33
94 rdf:rest N3b5faa24544141f49eb5ac7f0b209689
95 N5eba4c31b75a42119dc0bdab11077a31 schema:name nlm_unique_id
96 schema:value 101563288
97 rdf:type schema:PropertyValue
98 N6094f083c03344df8b68dea6d8ceeff8 rdf:first N7af0d92a0a48422aa929877788f1f61f
99 rdf:rest N16303e210189418e81b27ba3ef66ddfe
100 N645a8a090ba14a2e9eff30ee2d66234c schema:affiliation https://www.grid.ac/institutes/grid.45203.30
101 schema:familyName Takeuchi
102 schema:givenName Fumihiko
103 rdf:type schema:Person
104 N6733e2dd2c3e44389aea0872e8214e48 schema:affiliation https://www.grid.ac/institutes/grid.5290.e
105 schema:familyName Nishijima
106 schema:givenName Suguru
107 rdf:type schema:Person
108 N7791a2579f004208adec83080de41414 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
109 schema:familyName Mizokami
110 schema:givenName Masashi
111 rdf:type schema:Person
112 N7af0d92a0a48422aa929877788f1f61f schema:affiliation https://www.grid.ac/institutes/grid.45203.30
113 schema:familyName Uemura
114 schema:givenName Naomi
115 rdf:type schema:Person
116 N7ecc94a049374cafb9ea3d3dd55969f0 schema:name Springer Nature - SN SciGraph project
117 rdf:type schema:Organization
118 N852713b2bc0e49cdb0aead170cca0924 rdf:first N7791a2579f004208adec83080de41414
119 rdf:rest Nf8f18f4edfd6467c9dc2372804ee4a41
120 N864f8dab2f764c8e85666ca32f0617cb rdf:first N00b609f9808242b78c04a60aa4eb6352
121 rdf:rest N1f81337397364b99847f2f3a6da85956
122 N86d5b83d65ed4b56aa4adb6abd178141 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
123 schema:familyName Hisada
124 schema:givenName Yuya
125 rdf:type schema:Person
126 N8873ab6ea18343a6a55d983a73e56177 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
127 schema:familyName Akiyama
128 schema:givenName Junichi
129 rdf:type schema:Person
130 N893780237ff147c597f452d2ec77a6be schema:name pubmed_id
131 schema:value 30858400
132 rdf:type schema:PropertyValue
133 N94d121b1a99c499792f13cfe05386c33 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
134 schema:familyName Nagata
135 schema:givenName Naoyoshi
136 rdf:type schema:Person
137 N97c940fdec4f4df28c194c50dd8ac15c rdf:first N6733e2dd2c3e44389aea0872e8214e48
138 rdf:rest Nd6cc366dc4184ca69f59414f99a3fe57
139 N9c64244c2b3d4d7ab4fa7b96ecfdb80d schema:affiliation https://www.grid.ac/institutes/grid.45203.30
140 schema:familyName Tsujimoto
141 schema:givenName Tetsuro
142 rdf:type schema:Person
143 N9f93146cb646427194fad83ec18e5a71 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
144 schema:familyName Shimomura
145 schema:givenName Akira
146 rdf:type schema:Person
147 Nab05447865ca43a9b08b52d9188d93e2 rdf:first N4f6e53cc0fe447b7911c3edaaf157e8d
148 rdf:rest Ncd23e623e1a14ddfa99474a557f3b3ad
149 Nb35280cee08541999a59224b533c771a rdf:first N86d5b83d65ed4b56aa4adb6abd178141
150 rdf:rest N38b830db411341f88c603d99c7268e6d
151 Nb4db33f40144426380aced091951574e schema:name dimensions_id
152 schema:value pub.1112674440
153 rdf:type schema:PropertyValue
154 Nb531495f397a49128fde35282762bca4 schema:affiliation https://www.grid.ac/institutes/grid.5290.e
155 schema:familyName Hattori
156 schema:givenName Masahira
157 rdf:type schema:Person
158 Nb964c1e8884641ee8f116aefbbb615c8 schema:affiliation https://www.grid.ac/institutes/grid.45203.30
159 schema:familyName Nakamura
160 schema:givenName Tomoka
161 rdf:type schema:Person
162 Nc6e91a4109d2478fb4ef8d403abc8d98 schema:issueNumber 1
163 rdf:type schema:PublicationIssue
164 Nc7a198829bdc407db662456c1776ebce rdf:first N5732b464a561414b9f5b2a0e1c177e8a
165 rdf:rest Nb35280cee08541999a59224b533c771a
166 Ncb471794376a4b9ab357c997ddcc413e schema:name readcube_id
167 schema:value 0c839cf7d55079e21cab84585aa3ebcba4869445c159f05fa4eefe581924c9c6
168 rdf:type schema:PropertyValue
169 Ncd23e623e1a14ddfa99474a557f3b3ad rdf:first N0b94ed1e08d546508883545bb42bd571
170 rdf:rest N97c940fdec4f4df28c194c50dd8ac15c
171 Nce641978b09b4cfd81f041b5f2bb699b schema:name doi
172 schema:value 10.1038/s41598-019-40182-9
173 rdf:type schema:PropertyValue
174 Nd31d4ad0642e4f5d8bde8440f22da14f schema:affiliation https://www.grid.ac/institutes/grid.45203.30
175 schema:familyName Watanabe
176 schema:givenName Kazuhiro
177 rdf:type schema:Person
178 Nd6cc366dc4184ca69f59414f99a3fe57 rdf:first N645a8a090ba14a2e9eff30ee2d66234c
179 rdf:rest N2551d656b33640cdbd428206c7fb69ef
180 Nf8f18f4edfd6467c9dc2372804ee4a41 rdf:first N500f5c05755e47d9965387a01ed03005
181 rdf:rest N6094f083c03344df8b68dea6d8ceeff8
182 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
183 schema:name Chemical Sciences
184 rdf:type schema:DefinedTerm
185 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
186 schema:name Analytical Chemistry
187 rdf:type schema:DefinedTerm
188 sg:grant.6834877 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-40182-9
189 rdf:type schema:MonetaryGrant
190 sg:journal.1045337 schema:issn 2045-2322
191 schema:name Scientific Reports
192 rdf:type schema:Periodical
193 sg:pub.10.1038/ctg.2015.54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026026372
194 https://doi.org/10.1038/ctg.2015.54
195 rdf:type schema:CreativeWork
196 sg:pub.10.1038/ismej.2010.133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042916034
197 https://doi.org/10.1038/ismej.2010.133
198 rdf:type schema:CreativeWork
199 sg:pub.10.1038/nri.2016.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026888087
200 https://doi.org/10.1038/nri.2016.42
201 rdf:type schema:CreativeWork
202 sg:pub.10.1038/s41598-017-10834-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091449585
203 https://doi.org/10.1038/s41598-017-10834-9
204 rdf:type schema:CreativeWork
205 https://app.dimensions.ai/details/publication/pub.1077588037 schema:CreativeWork
206 https://doi.org/10.1016/j.cell.2018.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104550312
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.jcmgh.2016.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044483804
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1093/dnares/dst006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010904460
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1097/meg.0000000000000581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007484918
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1136/gutjnl-2014-307240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014629741
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1136/gutjnl-2016-311937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026931490
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1371/journal.pone.0032545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039913947
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1371/journal.pone.0054710 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013326987
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1371/journal.pone.0055817 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010919406
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1371/journal.pone.0062815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050207294
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1371/journal.pone.0119355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034400210
227 rdf:type schema:CreativeWork
228 https://www.grid.ac/institutes/grid.258269.2 schema:alternateName Juntendo University
229 schema:name Department of Microbiology, Juntendo University School of Medicine, Tokyo, Japan
230 Pathogenic Microbe Laboratory, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
231 rdf:type schema:Organization
232 https://www.grid.ac/institutes/grid.419082.6 schema:alternateName Japan Science and Technology Agency
233 schema:name Institute for Advanced Biosciences, Keio University, Tokyo, Japan
234 Intestinal Microbiota Project, Kanagawa Institute of Industrial Science and Technology, Ebina, Japan
235 PRESTO, Japan Science and Technology Agency, Kawaguchi, Japan
236 Transborder Medical Research Center, University of Tsukuba, Tsukuba, Japan
237 rdf:type schema:Organization
238 https://www.grid.ac/institutes/grid.45203.30 schema:alternateName National Center For Global Health and Medicine
239 schema:name Department of Diabetes, Endocrinology, and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan
240 Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Kohnodai Hospital, Tokyo, Japan
241 Department of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan
242 Department of Gene Diagnostics and Therapeutics, National Center for Global Health and Medicine, Tokyo, Japan
243 Pathogenic Microbe Laboratory, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
244 rdf:type schema:Organization
245 https://www.grid.ac/institutes/grid.5290.e schema:alternateName Waseda University
246 schema:name Computational Bio-Big Data Open Innovation Lab., National Institute of Advanced Science and Technology, Tokyo, Japan
247 Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan
248 RIKEN Center for Integrative Medical Sciences, Wako, Japan
249 rdf:type schema:Organization
 




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


...