Significant association between joint ultrasonographic parameters and synovial inflammatory factors in rheumatoid arthritis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yasushi Kondo, Katsuya Suzuki, Yumiko Inoue, Koumei Sakata, Chihiro Takahashi, Masaru Takeshita, Yoshiaki Kassai, Takahiro Miyazaki, Rimpei Morita, Yasuo Niki, Yuko Kaneko, Hidekata Yasuoka, Kunihiro Yamaoka, Akihiko Yoshimura, Tsutomu Takeuchi

ABSTRACT

BACKGROUND: Ultrasonography (US) can directly demonstrate joint inflammation, including grayscale (GS) signs of synovial hypertrophy and power Doppler (PD) techniques to demonstrate increased blood flow and vascularization. Recently, echogenicity, especially hypoechoic synovium, has also been associated with local inflammatory activity. However, only a few studies have demonstrated correlation between histopathologic and immunopathologic evaluation and US findings. The aim of this study was to clarify whether joint US findings including synovial hypertrophy, vascularity, and echogenicity can accurately characterize synovial pathophysiology in patients with active rheumatoid arthritis (RA). METHODS: A total of 44 patients with RA were included, both treated (n = 25) and untreated (n = 19) and scheduled for US examination of the knee joint with synovial fluid (SF) aspiration and two treated patients also underwent synovial biopsy. US images were quantitatively analyzed using grayscale assessment of synovial hypertrophy and PD for vascularity and echogenicity. Levels of nine SF cytokines and growth factors were also measured. RESULTS: Both US synovial hypertrophy and PD vascularity significantly correlated with SF inflammatory cytokine levels such as IL-6, IL-8, IL-1β and IL-10 in untreated patients. Angiogenic factors, including vascular endothelial growth factor (VEGF), only correlated with PD vascularity. In the treated patients, the associations between synovial hypertrophy and any cytokines were diminished, although synovial vascularity and echogenicity correlated with IL-6 and VEGF (p < 0.05). Histopathologic analysis revealed that hypoechogenicity of the synovium correlated with marked infiltration of lymphocytes and hypervascularity. CONCLUSIONS: We demonstrated the pathophysiological origins of US findings in the joint. The degree of US vascularity of the synovium correlated with local inflammatory cytokine levels and angiogenetic factors in patients with active RA. Synovial echogenicity, and not hypertrophy, correlated with inflammation, especially in treated patients with RA. More... »

PAGES

14

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13075-018-1802-x

DOI

http://dx.doi.org/10.1186/s13075-018-1802-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111315479

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30630515


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kondo", 
        "givenName": "Yasushi", 
        "id": "sg:person.01116723757.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116723757.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suzuki", 
        "givenName": "Katsuya", 
        "id": "sg:person.01355246370.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355246370.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inoue", 
        "givenName": "Yumiko", 
        "id": "sg:person.0607613364.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607613364.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakata", 
        "givenName": "Koumei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takahashi", 
        "givenName": "Chihiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takeshita", 
        "givenName": "Masaru", 
        "id": "sg:person.0723554635.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723554635.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Immunology Unit, Research, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kassai", 
        "givenName": "Yoshiaki", 
        "id": "sg:person.01040003235.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040003235.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nektar Therapeutics (United States)", 
          "id": "https://www.grid.ac/institutes/grid.476522.0", 
          "name": [
            "Immunology Unit, Research, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa, Japan", 
            "Nektar Therapeutics, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyazaki", 
        "givenName": "Takahiro", 
        "id": "sg:person.01336573435.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336573435.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morita", 
        "givenName": "Rimpei", 
        "id": "sg:person.010657364412.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010657364412.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niki", 
        "givenName": "Yasuo", 
        "id": "sg:person.01100647623.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100647623.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kaneko", 
        "givenName": "Yuko", 
        "id": "sg:person.0764155332.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764155332.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yasuoka", 
        "givenName": "Hidekata", 
        "id": "sg:person.01355020220.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355020220.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamaoka", 
        "givenName": "Kunihiro", 
        "id": "sg:person.01253624163.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253624163.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshimura", 
        "givenName": "Akihiko", 
        "id": "sg:person.0702121067.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702121067.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takeuchi", 
        "givenName": "Tsutomu", 
        "id": "sg:person.01041661127.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041661127.18"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/rheumatology/kep125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000721744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2009.117341", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006908444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11926-011-0201-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008389322", 
          "https://doi.org/10.1007/s11926-011-0201-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0278-2391(98)90868-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010537407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/ket311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011617046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.61.10.877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015540180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/ar582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017269192", 
          "https://doi.org/10.1186/ar582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/ar3293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021889845", 
          "https://doi.org/10.1186/ar3293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.1780310302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021989941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1529-0131(200102)44:2<331::aid-anr50>3.0.co;2-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022327847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2010.138461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024316425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.2009.04388.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025527055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2012-202197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025697718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2012-202669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035378226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/acr.22303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036394543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.1780330302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039458014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.39235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039757368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2013-204603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039808905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2005.051250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039856557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.10747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043118735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1529-0131(200109)44:9<2018::aid-art350>3.0.co;2-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043948663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.22296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044901153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2004.023929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046058500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/bor.0b013e32835fd8eb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046061489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/bor.0b013e32835fd8eb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046061489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2005.051235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046436293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/ar3280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046441003", 
          "https://doi.org/10.1186/ar3280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13075-015-0567-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048947567", 
          "https://doi.org/10.1186/s13075-015-0567-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13075-015-0567-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048947567", 
          "https://doi.org/10.1186/s13075-015-0567-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2251011272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051935802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3899/jrheum.130556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071543250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076833831", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077151912", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078516942", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14397595.2017.1337056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090395274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2017-211458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090958228"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Ultrasonography (US) can directly demonstrate joint inflammation, including grayscale (GS) signs of synovial hypertrophy and power Doppler (PD) techniques to demonstrate increased blood flow and vascularization. Recently, echogenicity, especially hypoechoic synovium, has also been associated with local inflammatory activity. However, only a few studies have demonstrated correlation between histopathologic and immunopathologic evaluation and US findings. The aim of this study was to clarify whether joint US findings including synovial hypertrophy, vascularity, and echogenicity can accurately characterize synovial pathophysiology in patients with active rheumatoid arthritis (RA).\nMETHODS: A total of 44 patients with RA were included, both treated (n\u2009=\u200925) and untreated (n\u2009=\u200919) and scheduled for US examination of the knee joint with synovial fluid (SF) aspiration and two treated patients also underwent synovial biopsy. US images were quantitatively analyzed using grayscale assessment of synovial hypertrophy and PD for vascularity and echogenicity. Levels of nine SF cytokines and growth factors were also measured.\nRESULTS: Both US synovial hypertrophy and PD vascularity significantly correlated with SF inflammatory cytokine levels such as IL-6, IL-8, IL-1\u03b2 and IL-10 in untreated patients. Angiogenic factors, including vascular endothelial growth factor (VEGF), only correlated with PD vascularity. In the treated patients, the associations between synovial hypertrophy and any cytokines were diminished, although synovial vascularity and echogenicity correlated with IL-6 and VEGF (p\u2009<\u20090.05). Histopathologic analysis revealed that hypoechogenicity of the synovium correlated with marked infiltration of lymphocytes and hypervascularity.\nCONCLUSIONS: We demonstrated the pathophysiological origins of US findings in the joint. The degree of US vascularity of the synovium correlated with local inflammatory cytokine levels and angiogenetic factors in patients with active RA. Synovial echogenicity, and not hypertrophy, correlated with inflammation, especially in treated patients with RA.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13075-018-1802-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6119214", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1297499", 
        "issn": [
          "1478-6354", 
          "1478-6362"
        ], 
        "name": "Arthritis Research & Therapy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "21"
      }
    ], 
    "name": "Significant association between joint ultrasonographic parameters and synovial inflammatory factors in rheumatoid arthritis", 
    "pagination": "14", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "130be4a0d7ee47c190dd81afbc915eea00ee36bba37780f25bb3fd2c12de97dc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30630515"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101154438"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13075-018-1802-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111315479"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13075-018-1802-x", 
      "https://app.dimensions.ai/details/publication/pub.1111315479"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:41", 
    "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/v90/0000000320_0000000320/records_101396_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13075-018-1802-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.10.1186/s13075-018-1802-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.10.1186/s13075-018-1802-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13075-018-1802-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13075-018-1802-x'


 

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

279 TRIPLES      21 PREDICATES      63 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13075-018-1802-x schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N18232120069d478586c17d05d8159032
4 schema:citation sg:pub.10.1007/s11926-011-0201-y
5 sg:pub.10.1186/ar3280
6 sg:pub.10.1186/ar3293
7 sg:pub.10.1186/ar582
8 sg:pub.10.1186/s13075-015-0567-8
9 https://app.dimensions.ai/details/publication/pub.1076833831
10 https://app.dimensions.ai/details/publication/pub.1077151912
11 https://app.dimensions.ai/details/publication/pub.1078516942
12 https://doi.org/10.1002/1529-0131(200102)44:2<331::aid-anr50>3.0.co;2-0
13 https://doi.org/10.1002/1529-0131(200109)44:9<2018::aid-art350>3.0.co;2-c
14 https://doi.org/10.1002/acr.22303
15 https://doi.org/10.1002/art.10747
16 https://doi.org/10.1002/art.1780310302
17 https://doi.org/10.1002/art.1780330302
18 https://doi.org/10.1002/art.22296
19 https://doi.org/10.1002/art.39235
20 https://doi.org/10.1016/s0278-2391(98)90868-0
21 https://doi.org/10.1080/14397595.2017.1337056
22 https://doi.org/10.1093/rheumatology/kep125
23 https://doi.org/10.1093/rheumatology/ket311
24 https://doi.org/10.1097/bor.0b013e32835fd8eb
25 https://doi.org/10.1111/j.1749-6632.2009.04388.x
26 https://doi.org/10.1136/annrheumdis-2012-202197
27 https://doi.org/10.1136/annrheumdis-2012-202669
28 https://doi.org/10.1136/annrheumdis-2013-204603
29 https://doi.org/10.1136/annrheumdis-2017-211458
30 https://doi.org/10.1136/ard.2004.023929
31 https://doi.org/10.1136/ard.2005.051235
32 https://doi.org/10.1136/ard.2005.051250
33 https://doi.org/10.1136/ard.2009.117341
34 https://doi.org/10.1136/ard.2010.138461
35 https://doi.org/10.1136/ard.61.10.877
36 https://doi.org/10.1148/radiol.2251011272
37 https://doi.org/10.3899/jrheum.130556
38 schema:datePublished 2019-12
39 schema:datePublishedReg 2019-12-01
40 schema:description BACKGROUND: Ultrasonography (US) can directly demonstrate joint inflammation, including grayscale (GS) signs of synovial hypertrophy and power Doppler (PD) techniques to demonstrate increased blood flow and vascularization. Recently, echogenicity, especially hypoechoic synovium, has also been associated with local inflammatory activity. However, only a few studies have demonstrated correlation between histopathologic and immunopathologic evaluation and US findings. The aim of this study was to clarify whether joint US findings including synovial hypertrophy, vascularity, and echogenicity can accurately characterize synovial pathophysiology in patients with active rheumatoid arthritis (RA). METHODS: A total of 44 patients with RA were included, both treated (n = 25) and untreated (n = 19) and scheduled for US examination of the knee joint with synovial fluid (SF) aspiration and two treated patients also underwent synovial biopsy. US images were quantitatively analyzed using grayscale assessment of synovial hypertrophy and PD for vascularity and echogenicity. Levels of nine SF cytokines and growth factors were also measured. RESULTS: Both US synovial hypertrophy and PD vascularity significantly correlated with SF inflammatory cytokine levels such as IL-6, IL-8, IL-1β and IL-10 in untreated patients. Angiogenic factors, including vascular endothelial growth factor (VEGF), only correlated with PD vascularity. In the treated patients, the associations between synovial hypertrophy and any cytokines were diminished, although synovial vascularity and echogenicity correlated with IL-6 and VEGF (p < 0.05). Histopathologic analysis revealed that hypoechogenicity of the synovium correlated with marked infiltration of lymphocytes and hypervascularity. CONCLUSIONS: We demonstrated the pathophysiological origins of US findings in the joint. The degree of US vascularity of the synovium correlated with local inflammatory cytokine levels and angiogenetic factors in patients with active RA. Synovial echogenicity, and not hypertrophy, correlated with inflammation, especially in treated patients with RA.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree true
44 schema:isPartOf Nbf36b104a03949d1ab4461576cab0af6
45 Ncb216624e54441c7a74f0b3971b559e9
46 sg:journal.1297499
47 schema:name Significant association between joint ultrasonographic parameters and synovial inflammatory factors in rheumatoid arthritis
48 schema:pagination 14
49 schema:productId N1e596662604941b18c87658880d8d16e
50 N4e5740676dac47ed97837929bbf7aa4c
51 N7e98c5de212c431eaba3c186857ef1b1
52 Ncdc869c5145b471198a19e54e68027c7
53 Nf6ad86c14da44324a19e9beacb070594
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111315479
55 https://doi.org/10.1186/s13075-018-1802-x
56 schema:sdDatePublished 2019-04-11T08:41
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N9b503c6bcca94b938b0e83fe5804ceb7
59 schema:url https://link.springer.com/10.1186%2Fs13075-018-1802-x
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N18232120069d478586c17d05d8159032 rdf:first sg:person.01116723757.81
64 rdf:rest N857a702bf4314f4eb80fde1200228264
65 N1e596662604941b18c87658880d8d16e schema:name pubmed_id
66 schema:value 30630515
67 rdf:type schema:PropertyValue
68 N29de1208963040d98af52c12da7ddd2c schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
69 schema:familyName Takahashi
70 schema:givenName Chihiro
71 rdf:type schema:Person
72 N30ad9b74417743ab86e6ceceb4e7b005 rdf:first sg:person.0723554635.06
73 rdf:rest N8d572a5a90f34f8298b91c839ff0ebf6
74 N4e5740676dac47ed97837929bbf7aa4c schema:name nlm_unique_id
75 schema:value 101154438
76 rdf:type schema:PropertyValue
77 N53dd7faaf2b14451a2e09964b68fa7da rdf:first sg:person.0607613364.85
78 rdf:rest N8e7f3037eedf44c1994c64696364f73e
79 N67fa0e9963fa4acba38572fa77a2a0d4 rdf:first sg:person.01041661127.18
80 rdf:rest rdf:nil
81 N6c4cbfc050d14abcbf6fe6237192163a rdf:first sg:person.0702121067.37
82 rdf:rest N67fa0e9963fa4acba38572fa77a2a0d4
83 N7e98c5de212c431eaba3c186857ef1b1 schema:name dimensions_id
84 schema:value pub.1111315479
85 rdf:type schema:PropertyValue
86 N857a702bf4314f4eb80fde1200228264 rdf:first sg:person.01355246370.53
87 rdf:rest N53dd7faaf2b14451a2e09964b68fa7da
88 N8d572a5a90f34f8298b91c839ff0ebf6 rdf:first sg:person.01040003235.19
89 rdf:rest N96918d08278c4e2a9f446563b390483c
90 N8e7f3037eedf44c1994c64696364f73e rdf:first Ncfd9f8f8606d4ae996ab4b6d958dc1d3
91 rdf:rest Nd1e06fc2c48440c4bd021ae1ae32eeb0
92 N8f918c85cbb74944bfdb18984499cd6d rdf:first sg:person.01100647623.13
93 rdf:rest Ndbdc3ed7f3bb44cc99c6e82cb4374978
94 N96918d08278c4e2a9f446563b390483c rdf:first sg:person.01336573435.18
95 rdf:rest N98a86f17d5a04a539b94295372a68260
96 N982d7e7728e04d4f8457c436374e88dd rdf:first sg:person.01253624163.11
97 rdf:rest N6c4cbfc050d14abcbf6fe6237192163a
98 N98a86f17d5a04a539b94295372a68260 rdf:first sg:person.010657364412.59
99 rdf:rest N8f918c85cbb74944bfdb18984499cd6d
100 N9b503c6bcca94b938b0e83fe5804ceb7 schema:name Springer Nature - SN SciGraph project
101 rdf:type schema:Organization
102 Nbf36b104a03949d1ab4461576cab0af6 schema:issueNumber 1
103 rdf:type schema:PublicationIssue
104 Nc92e37582b654515ada8b3d635064f24 schema:name Immunology Unit, Research, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa, Japan
105 rdf:type schema:Organization
106 Ncb216624e54441c7a74f0b3971b559e9 schema:volumeNumber 21
107 rdf:type schema:PublicationVolume
108 Ncdc869c5145b471198a19e54e68027c7 schema:name doi
109 schema:value 10.1186/s13075-018-1802-x
110 rdf:type schema:PropertyValue
111 Ncfd9f8f8606d4ae996ab4b6d958dc1d3 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
112 schema:familyName Sakata
113 schema:givenName Koumei
114 rdf:type schema:Person
115 Nd1e06fc2c48440c4bd021ae1ae32eeb0 rdf:first N29de1208963040d98af52c12da7ddd2c
116 rdf:rest N30ad9b74417743ab86e6ceceb4e7b005
117 Ndbdc3ed7f3bb44cc99c6e82cb4374978 rdf:first sg:person.0764155332.38
118 rdf:rest Nf36d3793c00c480cb2d159e4af07d254
119 Nf36d3793c00c480cb2d159e4af07d254 rdf:first sg:person.01355020220.48
120 rdf:rest N982d7e7728e04d4f8457c436374e88dd
121 Nf6ad86c14da44324a19e9beacb070594 schema:name readcube_id
122 schema:value 130be4a0d7ee47c190dd81afbc915eea00ee36bba37780f25bb3fd2c12de97dc
123 rdf:type schema:PropertyValue
124 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
125 schema:name Medical and Health Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
128 schema:name Clinical Sciences
129 rdf:type schema:DefinedTerm
130 sg:grant.6119214 http://pending.schema.org/fundedItem sg:pub.10.1186/s13075-018-1802-x
131 rdf:type schema:MonetaryGrant
132 sg:journal.1297499 schema:issn 1478-6354
133 1478-6362
134 schema:name Arthritis Research & Therapy
135 rdf:type schema:Periodical
136 sg:person.01040003235.19 schema:affiliation Nc92e37582b654515ada8b3d635064f24
137 schema:familyName Kassai
138 schema:givenName Yoshiaki
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040003235.19
140 rdf:type schema:Person
141 sg:person.01041661127.18 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
142 schema:familyName Takeuchi
143 schema:givenName Tsutomu
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041661127.18
145 rdf:type schema:Person
146 sg:person.010657364412.59 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
147 schema:familyName Morita
148 schema:givenName Rimpei
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010657364412.59
150 rdf:type schema:Person
151 sg:person.01100647623.13 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
152 schema:familyName Niki
153 schema:givenName Yasuo
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100647623.13
155 rdf:type schema:Person
156 sg:person.01116723757.81 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
157 schema:familyName Kondo
158 schema:givenName Yasushi
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116723757.81
160 rdf:type schema:Person
161 sg:person.01253624163.11 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
162 schema:familyName Yamaoka
163 schema:givenName Kunihiro
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253624163.11
165 rdf:type schema:Person
166 sg:person.01336573435.18 schema:affiliation https://www.grid.ac/institutes/grid.476522.0
167 schema:familyName Miyazaki
168 schema:givenName Takahiro
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336573435.18
170 rdf:type schema:Person
171 sg:person.01355020220.48 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
172 schema:familyName Yasuoka
173 schema:givenName Hidekata
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355020220.48
175 rdf:type schema:Person
176 sg:person.01355246370.53 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
177 schema:familyName Suzuki
178 schema:givenName Katsuya
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355246370.53
180 rdf:type schema:Person
181 sg:person.0607613364.85 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
182 schema:familyName Inoue
183 schema:givenName Yumiko
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607613364.85
185 rdf:type schema:Person
186 sg:person.0702121067.37 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
187 schema:familyName Yoshimura
188 schema:givenName Akihiko
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702121067.37
190 rdf:type schema:Person
191 sg:person.0723554635.06 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
192 schema:familyName Takeshita
193 schema:givenName Masaru
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723554635.06
195 rdf:type schema:Person
196 sg:person.0764155332.38 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
197 schema:familyName Kaneko
198 schema:givenName Yuko
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764155332.38
200 rdf:type schema:Person
201 sg:pub.10.1007/s11926-011-0201-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1008389322
202 https://doi.org/10.1007/s11926-011-0201-y
203 rdf:type schema:CreativeWork
204 sg:pub.10.1186/ar3280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046441003
205 https://doi.org/10.1186/ar3280
206 rdf:type schema:CreativeWork
207 sg:pub.10.1186/ar3293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021889845
208 https://doi.org/10.1186/ar3293
209 rdf:type schema:CreativeWork
210 sg:pub.10.1186/ar582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017269192
211 https://doi.org/10.1186/ar582
212 rdf:type schema:CreativeWork
213 sg:pub.10.1186/s13075-015-0567-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048947567
214 https://doi.org/10.1186/s13075-015-0567-8
215 rdf:type schema:CreativeWork
216 https://app.dimensions.ai/details/publication/pub.1076833831 schema:CreativeWork
217 https://app.dimensions.ai/details/publication/pub.1077151912 schema:CreativeWork
218 https://app.dimensions.ai/details/publication/pub.1078516942 schema:CreativeWork
219 https://doi.org/10.1002/1529-0131(200102)44:2<331::aid-anr50>3.0.co;2-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022327847
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1002/1529-0131(200109)44:9<2018::aid-art350>3.0.co;2-c schema:sameAs https://app.dimensions.ai/details/publication/pub.1043948663
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1002/acr.22303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036394543
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1002/art.10747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043118735
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1002/art.1780310302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021989941
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1002/art.1780330302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039458014
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1002/art.22296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044901153
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1002/art.39235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039757368
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/s0278-2391(98)90868-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010537407
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1080/14397595.2017.1337056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090395274
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1093/rheumatology/kep125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000721744
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1093/rheumatology/ket311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011617046
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1097/bor.0b013e32835fd8eb schema:sameAs https://app.dimensions.ai/details/publication/pub.1046061489
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1111/j.1749-6632.2009.04388.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025527055
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1136/annrheumdis-2012-202197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025697718
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1136/annrheumdis-2012-202669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035378226
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1136/annrheumdis-2013-204603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039808905
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1136/annrheumdis-2017-211458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090958228
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1136/ard.2004.023929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046058500
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1136/ard.2005.051235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046436293
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1136/ard.2005.051250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039856557
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1136/ard.2009.117341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006908444
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1136/ard.2010.138461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024316425
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1136/ard.61.10.877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015540180
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1148/radiol.2251011272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051935802
268 rdf:type schema:CreativeWork
269 https://doi.org/10.3899/jrheum.130556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071543250
270 rdf:type schema:CreativeWork
271 https://www.grid.ac/institutes/grid.26091.3c schema:alternateName Keio University
272 schema:name Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan
273 Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
274 Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
275 rdf:type schema:Organization
276 https://www.grid.ac/institutes/grid.476522.0 schema:alternateName Nektar Therapeutics (United States)
277 schema:name Immunology Unit, Research, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa, Japan
278 Nektar Therapeutics, San Francisco, CA, USA
279 rdf:type schema:Organization
 




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


...