Pharmacomicrobiomics in inflammatory arthritis: gut microbiome as modulator of therapeutic response View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-03-10

AUTHORS

Jose U. Scher, Renuka R. Nayak, Carles Ubeda, Peter J. Turnbaugh, Steven B. Abramson

ABSTRACT

In the past three decades, extraordinary advances have been made in the understanding of the pathogenesis of, and treatment options for, inflammatory arthritides, including rheumatoid arthritis and spondyloarthritis. The use of methotrexate and subsequently biologic therapies (such as TNF inhibitors, among others) and oral small molecules have substantially improved clinical outcomes for many patients with inflammatory arthritis; for others, however, these agents do not substantially improve their symptoms. The emerging field of pharmacomicrobiomics, which investigates the effect of variations within the human gut microbiome on drugs, has already provided important insights into these therapeutics. Pharmacomicrobiomic studies have demonstrated that human gut microorganisms and their enzymatic products can affect the bioavailability, clinical efficacy and toxicity of a wide array of drugs through direct and indirect mechanisms. This discipline promises to facilitate the advent of microbiome-based precision medicine approaches in inflammatory arthritis, including strategies for predicting response to treatment and for modulating the microbiome to improve response to therapy or reduce drug toxicity. More... »

PAGES

282-292

References to SciGraph publications

  • 2010-07-28. Measurement of Erythrocyte Methotrexate Polyglutamate Levels: Ready for Clinical Use in Rheumatoid Arthritis? in CURRENT RHEUMATOLOGY REPORTS
  • 2006-12. An obesity-associated gut microbiome with increased capacity for energy harvest in NATURE
  • 2017-08-29. A novel approach for the prediction of species-specific biotransformation of xenobiotic/drug molecules by the human gut microbiota in SCIENTIFIC REPORTS
  • 2011-08-23. The microbiome and rheumatoid arthritis in NATURE REVIEWS RHEUMATOLOGY
  • 2018-11-12. Fecal microbiota transplantation for refractory immune checkpoint inhibitor-associated colitis in NATURE MEDICINE
  • 2012-06-13. Structure, Function and Diversity of the Healthy Human Microbiome in NATURE
  • 2012-05-09. Human gut microbiome viewed across age and geography in NATURE
  • 2012-11-30. Gut Pharmacomicrobiomics: the tip of an iceberg of complex interactions between drugs and gut-associated microbes in GUT PATHOGENS
  • 2016-02-02. Intestinal microbiome analyses identify melanoma patients at risk for checkpoint-blockade-induced colitis in NATURE COMMUNICATIONS
  • 2018-03-19. Extensive impact of non-antibiotic drugs on human gut bacteria in NATURE
  • 2016-05-04. Mirror, mirror on the wall: which microbiomes will help heal them all? in BMC MEDICINE
  • 2010-07-22. Creating and characterizing communities of human gut microbes in gnotobiotic mice in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2018-05-09. Replication study of polymorphisms associated with response to methotrexate in patients with rheumatoid arthritis in SCIENTIFIC REPORTS
  • 2018-10-30. Intensive therapy and remissions in rheumatoid arthritis: a systematic review in BMC MUSCULOSKELETAL DISORDERS
  • 2018-03-08. Evaluation of a clinical pharmacogenetics model to predict methotrexate response in patients with rheumatoid arthritis in THE PHARMACOGENOMICS JOURNAL
  • 2018-03-20. Risk factors for oral methotrexate failure in patients with inflammatory polyarthritis: results from a UK prospective cohort study in ARTHRITIS RESEARCH & THERAPY
  • 1976-12. Clinical Pharmacokinetics of Sulphasalazine in CLINICAL PHARMACOKINETICS
  • 2011-04-06. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease in NATURE
  • 2008-11-30. A core gut microbiome in obese and lean twins in NATURE
  • 2016-06-03. The metabolic role of the gut microbiota in health and rheumatic disease: mechanisms and interventions in NATURE REVIEWS RHEUMATOLOGY
  • 2018-07-13. Prediction of primary non-response to methotrexate therapy using demographic, clinical and psychosocial variables: results from the UK Rheumatoid Arthritis Medication Study (RAMS) in ARTHRITIS RESEARCH & THERAPY
  • 2016-11-07. Culture of previously uncultured members of the human gut microbiota by culturomics in NATURE MICROBIOLOGY
  • 2018-04-03. Microbiota Composition May Predict Anti-Tnf Alpha Response in Spondyloarthritis Patients: an Exploratory Study in SCIENTIFIC REPORTS
  • 2015-07-27. The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment in NATURE MEDICINE
  • 2014-08-05. Microfluidic organs-on-chips in NATURE BIOTECHNOLOGY
  • 2017-08-15. Membrane-free culture and real-time barrier integrity assessment of perfused intestinal epithelium tubes in NATURE COMMUNICATIONS
  • 2018-04-28. Pharmacomicrobiomics: a novel route towards personalized medicine? in PROTEIN & CELL
  • 2016-09-26. Efficacy and safety of TNF-α inhibitors for active ankylosing spondylitis patients: Multiple treatment comparisons in a network meta-analysis in SCIENTIFIC REPORTS
  • 2019-06-03. Mapping human microbiome drug metabolism by gut bacteria and their genes in NATURE
  • 2016-03-14. The microbial pharmacists within us: a metagenomic view of xenobiotic metabolism in NATURE REVIEWS MICROBIOLOGY
  • 2018-06-15. The current state of the art for biological therapies and new small molecules in inflammatory bowel disease in MUCOSAL IMMUNOLOGY
  • 2017-05-05. Optimizing methods and dodging pitfalls in microbiome research in MICROBIOME
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41584-020-0395-3

    DOI

    http://dx.doi.org/10.1038/s41584-020-0395-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1125504530

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/32157196


    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/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1115", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Pharmacology and Pharmaceutical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Antirheumatic Agents", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Arthritis, Rheumatoid", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Autoimmunity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Biological Availability", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gastrointestinal Microbiome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Methotrexate", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mice", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Precision Medicine", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Spondylarthritis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tumor Necrosis Factor Inhibitors", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Medicine, Division of Rheumatology, New York University Langone Health, New York, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.137628.9", 
              "name": [
                "Department of Medicine, Division of Rheumatology, New York University Langone Health, New York, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Scher", 
            "givenName": "Jose U.", 
            "id": "sg:person.01312600275.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312600275.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Microbiology & Immunology, University of California, San Francisco, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.266102.1", 
              "name": [
                "Rheumatology Division, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA", 
                "Department of Microbiology & Immunology, University of California, San Francisco, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nayak", 
            "givenName": "Renuka R.", 
            "id": "sg:person.0626521114.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626521114.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIBER en Epidemiologia y Salud Publica, Madrid, Spain", 
              "id": "http://www.grid.ac/institutes/grid.413448.e", 
              "name": [
                "Centro Superior de Investigacion en Salud Publica \u2014 FISABIO, Valencia, Spain", 
                "CIBER en Epidemiologia y Salud Publica, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ubeda", 
            "givenName": "Carles", 
            "id": "sg:person.0626670225.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626670225.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chan Zuckerberg Biohub, San Francisco, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.499295.a", 
              "name": [
                "Department of Microbiology & Immunology, University of California, San Francisco, CA, USA", 
                "Chan Zuckerberg Biohub, San Francisco, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Turnbaugh", 
            "givenName": "Peter J.", 
            "id": "sg:person.01065252767.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065252767.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Medicine, Division of Rheumatology, New York University Langone Health, New York, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.137628.9", 
              "name": [
                "Department of Medicine, Division of Rheumatology, New York University Langone Health, New York, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Abramson", 
            "givenName": "Steven B.", 
            "id": "sg:person.0660617545.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660617545.53"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/ncomms10391", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037507717", 
              "https://doi.org/10.1038/ncomms10391"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12891-018-2302-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107931483", 
              "https://doi.org/10.1186/s12891-018-2302-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-10203-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091331772", 
              "https://doi.org/10.1038/s41598-017-10203-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-017-00259-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091090275", 
              "https://doi.org/10.1038/s41467-017-00259-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09922", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043309820", 
              "https://doi.org/10.1038/nature09922"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-017-0267-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085185824", 
              "https://doi.org/10.1186/s40168-017-0267-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1757-4749-4-16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044990740", 
              "https://doi.org/10.1186/1757-4749-4-16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41591-018-0238-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107954799", 
              "https://doi.org/10.1038/s41591-018-0238-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11926-010-0120-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000865069", 
              "https://doi.org/10.1007/s11926-010-0120-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41397-018-0017-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101388918", 
              "https://doi.org/10.1038/s41397-018-0017-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11234", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007740093", 
              "https://doi.org/10.1038/nature11234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrrheum.2011.121", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020354203", 
              "https://doi.org/10.1038/nrrheum.2011.121"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmicrobiol.2016.203", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044832209", 
              "https://doi.org/10.1038/nmicrobiol.2016.203"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05414", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023893418", 
              "https://doi.org/10.1038/nature05414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13075-018-1645-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105544862", 
              "https://doi.org/10.1186/s13075-018-1645-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-018-25634-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103798243", 
              "https://doi.org/10.1038/s41598-018-25634-y"
            ], 
            "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.10.1186/s13075-018-1544-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101623587", 
              "https://doi.org/10.1186/s13075-018-1544-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro.2016.17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046096323", 
              "https://doi.org/10.1038/nrmicro.2016.17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-019-1291-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1116391967", 
              "https://doi.org/10.1038/s41586-019-1291-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.3914", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009083133", 
              "https://doi.org/10.1038/nm.3914"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature25979", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101559358", 
              "https://doi.org/10.1038/nature25979"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.2165/00003088-197601060-00002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017005120", 
              "https://doi.org/10.2165/00003088-197601060-00002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2989", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040859225", 
              "https://doi.org/10.1038/nbt.2989"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrrheum.2016.68", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036795435", 
              "https://doi.org/10.1038/nrrheum.2016.68"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13238-018-0547-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103675889", 
              "https://doi.org/10.1007/s13238-018-0547-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep32768", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007149680", 
              "https://doi.org/10.1038/srep32768"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41385-018-0050-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104593127", 
              "https://doi.org/10.1038/s41385-018-0050-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2010.110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052111890", 
              "https://doi.org/10.1038/ismej.2010.110"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-018-23571-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101852987", 
              "https://doi.org/10.1038/s41598-018-23571-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12916-016-0622-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007462907", 
              "https://doi.org/10.1186/s12916-016-0622-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07540", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030170002", 
              "https://doi.org/10.1038/nature07540"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2020-03-10", 
        "datePublishedReg": "2020-03-10", 
        "description": "In the past three decades, extraordinary advances have been made in the understanding of the pathogenesis of, and treatment options for, inflammatory arthritides, including rheumatoid arthritis and spondyloarthritis. The use of methotrexate and subsequently biologic therapies (such as TNF inhibitors, among others) and oral small molecules have substantially improved clinical outcomes for many patients with inflammatory arthritis; for others, however, these agents do not substantially improve their symptoms. The emerging field of pharmacomicrobiomics, which investigates the effect of variations within the human gut microbiome on drugs, has already provided important insights into these therapeutics. Pharmacomicrobiomic studies have demonstrated that human gut microorganisms and their enzymatic products can affect the bioavailability, clinical efficacy and toxicity of a wide array of drugs through direct and indirect mechanisms. This discipline promises to facilitate the advent of\u00a0microbiome-based precision medicine approaches in inflammatory arthritis, including strategies for predicting response to treatment and for modulating the microbiome to improve response to therapy or reduce drug toxicity.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s41584-020-0395-3", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7745722", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8634526", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7724495", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7029541", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4898633", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1036168", 
            "issn": [
              "1759-4790", 
              "1759-4804"
            ], 
            "name": "Nature Reviews Rheumatology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "16"
          }
        ], 
        "keywords": [
          "inflammatory arthritis", 
          "oral small molecules", 
          "human gut microorganisms", 
          "precision medicine approach", 
          "biologic therapy", 
          "inflammatory arthritides", 
          "clinical outcomes", 
          "rheumatoid arthritis", 
          "clinical efficacy", 
          "treatment options", 
          "therapeutic response", 
          "drug toxicity", 
          "arthritis", 
          "gut microbiome", 
          "medicine approach", 
          "human gut", 
          "gut microorganisms", 
          "therapy", 
          "indirect mechanisms", 
          "drugs", 
          "pharmacomicrobiomics", 
          "toxicity", 
          "microbiome", 
          "response", 
          "arthritides", 
          "spondyloarthritis", 
          "patients", 
          "pathogenesis", 
          "extraordinary advances", 
          "symptoms", 
          "efficacy", 
          "outcomes", 
          "gut", 
          "treatment", 
          "therapeutics", 
          "bioavailability", 
          "wide array", 
          "options", 
          "agents", 
          "small molecules", 
          "modulator", 
          "important insights", 
          "enzymatic product", 
          "study", 
          "effect", 
          "mechanism", 
          "use", 
          "advances", 
          "advent", 
          "strategies", 
          "decades", 
          "understanding", 
          "microorganisms", 
          "molecules", 
          "insights", 
          "effect of variation", 
          "products", 
          "approach", 
          "variation", 
          "disciplines", 
          "array", 
          "field", 
          "field of pharmacomicrobiomics", 
          "Pharmacomicrobiomic studies", 
          "microbiome-based precision medicine approaches"
        ], 
        "name": "Pharmacomicrobiomics in inflammatory arthritis: gut microbiome as modulator of therapeutic response", 
        "pagination": "282-292", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1125504530"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41584-020-0395-3"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "32157196"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41584-020-0395-3", 
          "https://app.dimensions.ai/details/publication/pub.1125504530"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:59", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_862.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s41584-020-0395-3"
      }
    ]
     

    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/s41584-020-0395-3'

    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/s41584-020-0395-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41584-020-0395-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41584-020-0395-3'


     

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

    357 TRIPLES      22 PREDICATES      136 URIs      95 LITERALS      19 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41584-020-0395-3 schema:about N061cabd10d56473698ebb12415718165
    2 N291fdbd95a0344a6b844186f0c5fae6d
    3 N409900d6f9744634a1a6a84707e78f7e
    4 N412e4ae30e02496fbf419097200f8093
    5 N54aecaee54c44ab182a25954f41960fa
    6 N5f778fb72c334aaaa6933d925ec2026b
    7 N7747b29eecc64ca899dd27e24f56fbd9
    8 N948af80bc84b413dacbae1b1401865da
    9 Nafc7059b9ce74d05a7d5b91daa08921b
    10 Nbb315fe89b7f45cf9745dbff7cf01a46
    11 Nd89b9633b9604cacbfc4d50741b063e4
    12 Ndd946d7770e743b5baeb0ae93dfce001
    13 anzsrc-for:11
    14 anzsrc-for:1103
    15 anzsrc-for:1115
    16 schema:author Nc0afb1737beb45b99a8e5dad8d547ac4
    17 schema:citation sg:pub.10.1007/s11926-010-0120-3
    18 sg:pub.10.1007/s13238-018-0547-2
    19 sg:pub.10.1038/ismej.2010.110
    20 sg:pub.10.1038/nature05414
    21 sg:pub.10.1038/nature07540
    22 sg:pub.10.1038/nature09922
    23 sg:pub.10.1038/nature11053
    24 sg:pub.10.1038/nature11234
    25 sg:pub.10.1038/nature25979
    26 sg:pub.10.1038/nbt.2989
    27 sg:pub.10.1038/ncomms10391
    28 sg:pub.10.1038/nm.3914
    29 sg:pub.10.1038/nmicrobiol.2016.203
    30 sg:pub.10.1038/nrmicro.2016.17
    31 sg:pub.10.1038/nrrheum.2011.121
    32 sg:pub.10.1038/nrrheum.2016.68
    33 sg:pub.10.1038/s41385-018-0050-3
    34 sg:pub.10.1038/s41397-018-0017-5
    35 sg:pub.10.1038/s41467-017-00259-3
    36 sg:pub.10.1038/s41586-019-1291-3
    37 sg:pub.10.1038/s41591-018-0238-9
    38 sg:pub.10.1038/s41598-017-10203-6
    39 sg:pub.10.1038/s41598-018-23571-4
    40 sg:pub.10.1038/s41598-018-25634-y
    41 sg:pub.10.1038/srep32768
    42 sg:pub.10.1186/1757-4749-4-16
    43 sg:pub.10.1186/s12891-018-2302-5
    44 sg:pub.10.1186/s12916-016-0622-6
    45 sg:pub.10.1186/s13075-018-1544-9
    46 sg:pub.10.1186/s13075-018-1645-5
    47 sg:pub.10.1186/s40168-017-0267-5
    48 sg:pub.10.2165/00003088-197601060-00002
    49 schema:datePublished 2020-03-10
    50 schema:datePublishedReg 2020-03-10
    51 schema:description In the past three decades, extraordinary advances have been made in the understanding of the pathogenesis of, and treatment options for, inflammatory arthritides, including rheumatoid arthritis and spondyloarthritis. The use of methotrexate and subsequently biologic therapies (such as TNF inhibitors, among others) and oral small molecules have substantially improved clinical outcomes for many patients with inflammatory arthritis; for others, however, these agents do not substantially improve their symptoms. The emerging field of pharmacomicrobiomics, which investigates the effect of variations within the human gut microbiome on drugs, has already provided important insights into these therapeutics. Pharmacomicrobiomic studies have demonstrated that human gut microorganisms and their enzymatic products can affect the bioavailability, clinical efficacy and toxicity of a wide array of drugs through direct and indirect mechanisms. This discipline promises to facilitate the advent of microbiome-based precision medicine approaches in inflammatory arthritis, including strategies for predicting response to treatment and for modulating the microbiome to improve response to therapy or reduce drug toxicity.
    52 schema:genre article
    53 schema:inLanguage en
    54 schema:isAccessibleForFree false
    55 schema:isPartOf N179333f4d0cd4318be7f1ebdea7c4131
    56 Nf4ff651114bf4a39aa8de6683a6bdf14
    57 sg:journal.1036168
    58 schema:keywords Pharmacomicrobiomic studies
    59 advances
    60 advent
    61 agents
    62 approach
    63 array
    64 arthritides
    65 arthritis
    66 bioavailability
    67 biologic therapy
    68 clinical efficacy
    69 clinical outcomes
    70 decades
    71 disciplines
    72 drug toxicity
    73 drugs
    74 effect
    75 effect of variation
    76 efficacy
    77 enzymatic product
    78 extraordinary advances
    79 field
    80 field of pharmacomicrobiomics
    81 gut
    82 gut microbiome
    83 gut microorganisms
    84 human gut
    85 human gut microorganisms
    86 important insights
    87 indirect mechanisms
    88 inflammatory arthritides
    89 inflammatory arthritis
    90 insights
    91 mechanism
    92 medicine approach
    93 microbiome
    94 microbiome-based precision medicine approaches
    95 microorganisms
    96 modulator
    97 molecules
    98 options
    99 oral small molecules
    100 outcomes
    101 pathogenesis
    102 patients
    103 pharmacomicrobiomics
    104 precision medicine approach
    105 products
    106 response
    107 rheumatoid arthritis
    108 small molecules
    109 spondyloarthritis
    110 strategies
    111 study
    112 symptoms
    113 therapeutic response
    114 therapeutics
    115 therapy
    116 toxicity
    117 treatment
    118 treatment options
    119 understanding
    120 use
    121 variation
    122 wide array
    123 schema:name Pharmacomicrobiomics in inflammatory arthritis: gut microbiome as modulator of therapeutic response
    124 schema:pagination 282-292
    125 schema:productId N49828cb5e9914b4fa13a61f835432aa0
    126 Nc6dc48a8e2eb4ab5abcf7590377fcdbe
    127 Nfc89e69b8af04174ac4f862054b14ab3
    128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125504530
    129 https://doi.org/10.1038/s41584-020-0395-3
    130 schema:sdDatePublished 2022-01-01T18:59
    131 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    132 schema:sdPublisher Ne24576b672f94e458abd91b747254a96
    133 schema:url https://doi.org/10.1038/s41584-020-0395-3
    134 sgo:license sg:explorer/license/
    135 sgo:sdDataset articles
    136 rdf:type schema:ScholarlyArticle
    137 N061cabd10d56473698ebb12415718165 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    138 schema:name Mice
    139 rdf:type schema:DefinedTerm
    140 N179333f4d0cd4318be7f1ebdea7c4131 schema:issueNumber 5
    141 rdf:type schema:PublicationIssue
    142 N291fdbd95a0344a6b844186f0c5fae6d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name Humans
    144 rdf:type schema:DefinedTerm
    145 N32b43f58f58a47eca6020237a65a8291 rdf:first sg:person.01065252767.89
    146 rdf:rest N50089545652c4b92be7fdd13736e6ed4
    147 N409900d6f9744634a1a6a84707e78f7e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Tumor Necrosis Factor Inhibitors
    149 rdf:type schema:DefinedTerm
    150 N412e4ae30e02496fbf419097200f8093 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Animals
    152 rdf:type schema:DefinedTerm
    153 N49828cb5e9914b4fa13a61f835432aa0 schema:name dimensions_id
    154 schema:value pub.1125504530
    155 rdf:type schema:PropertyValue
    156 N50089545652c4b92be7fdd13736e6ed4 rdf:first sg:person.0660617545.53
    157 rdf:rest rdf:nil
    158 N54aecaee54c44ab182a25954f41960fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Gastrointestinal Microbiome
    160 rdf:type schema:DefinedTerm
    161 N5f778fb72c334aaaa6933d925ec2026b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Precision Medicine
    163 rdf:type schema:DefinedTerm
    164 N7747b29eecc64ca899dd27e24f56fbd9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Autoimmunity
    166 rdf:type schema:DefinedTerm
    167 N929c65235f244ff29c7b105a0b9ad71e rdf:first sg:person.0626670225.07
    168 rdf:rest N32b43f58f58a47eca6020237a65a8291
    169 N948af80bc84b413dacbae1b1401865da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    170 schema:name Biological Availability
    171 rdf:type schema:DefinedTerm
    172 Nafc7059b9ce74d05a7d5b91daa08921b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    173 schema:name Spondylarthritis
    174 rdf:type schema:DefinedTerm
    175 Nbb315fe89b7f45cf9745dbff7cf01a46 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Arthritis, Rheumatoid
    177 rdf:type schema:DefinedTerm
    178 Nc0afb1737beb45b99a8e5dad8d547ac4 rdf:first sg:person.01312600275.86
    179 rdf:rest Nf39ecb6e177e4d3c94889befee62f3a7
    180 Nc6dc48a8e2eb4ab5abcf7590377fcdbe schema:name pubmed_id
    181 schema:value 32157196
    182 rdf:type schema:PropertyValue
    183 Nd89b9633b9604cacbfc4d50741b063e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Methotrexate
    185 rdf:type schema:DefinedTerm
    186 Ndd946d7770e743b5baeb0ae93dfce001 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    187 schema:name Antirheumatic Agents
    188 rdf:type schema:DefinedTerm
    189 Ne24576b672f94e458abd91b747254a96 schema:name Springer Nature - SN SciGraph project
    190 rdf:type schema:Organization
    191 Nf39ecb6e177e4d3c94889befee62f3a7 rdf:first sg:person.0626521114.51
    192 rdf:rest N929c65235f244ff29c7b105a0b9ad71e
    193 Nf4ff651114bf4a39aa8de6683a6bdf14 schema:volumeNumber 16
    194 rdf:type schema:PublicationVolume
    195 Nfc89e69b8af04174ac4f862054b14ab3 schema:name doi
    196 schema:value 10.1038/s41584-020-0395-3
    197 rdf:type schema:PropertyValue
    198 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    199 schema:name Medical and Health Sciences
    200 rdf:type schema:DefinedTerm
    201 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    202 schema:name Clinical Sciences
    203 rdf:type schema:DefinedTerm
    204 anzsrc-for:1115 schema:inDefinedTermSet anzsrc-for:
    205 schema:name Pharmacology and Pharmaceutical Sciences
    206 rdf:type schema:DefinedTerm
    207 sg:grant.4898633 http://pending.schema.org/fundedItem sg:pub.10.1038/s41584-020-0395-3
    208 rdf:type schema:MonetaryGrant
    209 sg:grant.7029541 http://pending.schema.org/fundedItem sg:pub.10.1038/s41584-020-0395-3
    210 rdf:type schema:MonetaryGrant
    211 sg:grant.7724495 http://pending.schema.org/fundedItem sg:pub.10.1038/s41584-020-0395-3
    212 rdf:type schema:MonetaryGrant
    213 sg:grant.7745722 http://pending.schema.org/fundedItem sg:pub.10.1038/s41584-020-0395-3
    214 rdf:type schema:MonetaryGrant
    215 sg:grant.8634526 http://pending.schema.org/fundedItem sg:pub.10.1038/s41584-020-0395-3
    216 rdf:type schema:MonetaryGrant
    217 sg:journal.1036168 schema:issn 1759-4790
    218 1759-4804
    219 schema:name Nature Reviews Rheumatology
    220 schema:publisher Springer Nature
    221 rdf:type schema:Periodical
    222 sg:person.01065252767.89 schema:affiliation grid-institutes:grid.499295.a
    223 schema:familyName Turnbaugh
    224 schema:givenName Peter J.
    225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065252767.89
    226 rdf:type schema:Person
    227 sg:person.01312600275.86 schema:affiliation grid-institutes:grid.137628.9
    228 schema:familyName Scher
    229 schema:givenName Jose U.
    230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312600275.86
    231 rdf:type schema:Person
    232 sg:person.0626521114.51 schema:affiliation grid-institutes:grid.266102.1
    233 schema:familyName Nayak
    234 schema:givenName Renuka R.
    235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626521114.51
    236 rdf:type schema:Person
    237 sg:person.0626670225.07 schema:affiliation grid-institutes:grid.413448.e
    238 schema:familyName Ubeda
    239 schema:givenName Carles
    240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626670225.07
    241 rdf:type schema:Person
    242 sg:person.0660617545.53 schema:affiliation grid-institutes:grid.137628.9
    243 schema:familyName Abramson
    244 schema:givenName Steven B.
    245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660617545.53
    246 rdf:type schema:Person
    247 sg:pub.10.1007/s11926-010-0120-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000865069
    248 https://doi.org/10.1007/s11926-010-0120-3
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1007/s13238-018-0547-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103675889
    251 https://doi.org/10.1007/s13238-018-0547-2
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/ismej.2010.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052111890
    254 https://doi.org/10.1038/ismej.2010.110
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/nature05414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023893418
    257 https://doi.org/10.1038/nature05414
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1038/nature07540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030170002
    260 https://doi.org/10.1038/nature07540
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1038/nature09922 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043309820
    263 https://doi.org/10.1038/nature09922
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1038/nature11053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052378845
    266 https://doi.org/10.1038/nature11053
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/nature11234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007740093
    269 https://doi.org/10.1038/nature11234
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1038/nature25979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101559358
    272 https://doi.org/10.1038/nature25979
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1038/nbt.2989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040859225
    275 https://doi.org/10.1038/nbt.2989
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1038/ncomms10391 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037507717
    278 https://doi.org/10.1038/ncomms10391
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1038/nm.3914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009083133
    281 https://doi.org/10.1038/nm.3914
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1038/nmicrobiol.2016.203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044832209
    284 https://doi.org/10.1038/nmicrobiol.2016.203
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1038/nrmicro.2016.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046096323
    287 https://doi.org/10.1038/nrmicro.2016.17
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1038/nrrheum.2011.121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020354203
    290 https://doi.org/10.1038/nrrheum.2011.121
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1038/nrrheum.2016.68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036795435
    293 https://doi.org/10.1038/nrrheum.2016.68
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1038/s41385-018-0050-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104593127
    296 https://doi.org/10.1038/s41385-018-0050-3
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1038/s41397-018-0017-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101388918
    299 https://doi.org/10.1038/s41397-018-0017-5
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1038/s41467-017-00259-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091090275
    302 https://doi.org/10.1038/s41467-017-00259-3
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1038/s41586-019-1291-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1116391967
    305 https://doi.org/10.1038/s41586-019-1291-3
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1038/s41591-018-0238-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107954799
    308 https://doi.org/10.1038/s41591-018-0238-9
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1038/s41598-017-10203-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091331772
    311 https://doi.org/10.1038/s41598-017-10203-6
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1038/s41598-018-23571-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101852987
    314 https://doi.org/10.1038/s41598-018-23571-4
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1038/s41598-018-25634-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1103798243
    317 https://doi.org/10.1038/s41598-018-25634-y
    318 rdf:type schema:CreativeWork
    319 sg:pub.10.1038/srep32768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007149680
    320 https://doi.org/10.1038/srep32768
    321 rdf:type schema:CreativeWork
    322 sg:pub.10.1186/1757-4749-4-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044990740
    323 https://doi.org/10.1186/1757-4749-4-16
    324 rdf:type schema:CreativeWork
    325 sg:pub.10.1186/s12891-018-2302-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107931483
    326 https://doi.org/10.1186/s12891-018-2302-5
    327 rdf:type schema:CreativeWork
    328 sg:pub.10.1186/s12916-016-0622-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007462907
    329 https://doi.org/10.1186/s12916-016-0622-6
    330 rdf:type schema:CreativeWork
    331 sg:pub.10.1186/s13075-018-1544-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101623587
    332 https://doi.org/10.1186/s13075-018-1544-9
    333 rdf:type schema:CreativeWork
    334 sg:pub.10.1186/s13075-018-1645-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105544862
    335 https://doi.org/10.1186/s13075-018-1645-5
    336 rdf:type schema:CreativeWork
    337 sg:pub.10.1186/s40168-017-0267-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085185824
    338 https://doi.org/10.1186/s40168-017-0267-5
    339 rdf:type schema:CreativeWork
    340 sg:pub.10.2165/00003088-197601060-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017005120
    341 https://doi.org/10.2165/00003088-197601060-00002
    342 rdf:type schema:CreativeWork
    343 grid-institutes:grid.137628.9 schema:alternateName Department of Medicine, Division of Rheumatology, New York University Langone Health, New York, NY, USA
    344 schema:name Department of Medicine, Division of Rheumatology, New York University Langone Health, New York, NY, USA
    345 rdf:type schema:Organization
    346 grid-institutes:grid.266102.1 schema:alternateName Department of Microbiology & Immunology, University of California, San Francisco, CA, USA
    347 schema:name Department of Microbiology & Immunology, University of California, San Francisco, CA, USA
    348 Rheumatology Division, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
    349 rdf:type schema:Organization
    350 grid-institutes:grid.413448.e schema:alternateName CIBER en Epidemiologia y Salud Publica, Madrid, Spain
    351 schema:name CIBER en Epidemiologia y Salud Publica, Madrid, Spain
    352 Centro Superior de Investigacion en Salud Publica — FISABIO, Valencia, Spain
    353 rdf:type schema:Organization
    354 grid-institutes:grid.499295.a schema:alternateName Chan Zuckerberg Biohub, San Francisco, CA, USA
    355 schema:name Chan Zuckerberg Biohub, San Francisco, CA, USA
    356 Department of Microbiology & Immunology, University of California, San Francisco, CA, USA
    357 rdf:type schema:Organization
     




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


    ...