Combined surgery and chondrocyte cell-sheet transplantation improves clinical and structural outcomes in knee osteoarthritis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Masato Sato, Masayuki Yamato, Genya Mitani, Tomonori Takagaki, Kosuke Hamahashi, Yoshihiko Nakamura, Miya Ishihara, Ryo Matoba, Hiroyuki Kobayashi, Teruo Okano, Joji Mochida, Masahiko Watanabe

ABSTRACT

Current cartilage regenerative therapies are not fully effective in treating osteoarthritis of the knee (OAK). We have developed chondrocyte sheets for autologous transplantation and tested these in in vitro and in vivo preclinical studies, and have reported that the transplantation of chondrocyte sheets promoted hyaline cartilage repair in rat, rabbit, and minipig models. However, autologous transplantation of chondrocyte sheets has yet to be reported in humans. Here, we report our combination therapy in which conventional surgical treatment for OAK, is followed by autologous chondrocyte sheet transplantation for cartilage repair. Eight patients with OAK and cartilage defects categorized arthroscopically as Outerbridge grade III or IV receive the therapy. Patients are thoroughly assessed by preoperative and postoperative X-rays, magnetic resonance imaging (MRI), arthroscopy, Knee injury and Osteoarthritis Outcome Score (KOOS), Lysholm Knee Score (LKS), and a laser-induced photoacoustic method to assess cartilage viscoelasticity. Arthroscopic biopsies of all patients are performed 12 months after transplantation for histological evaluation. The properties of the chondrocyte sheets are evaluated using gene expression analysis to investigate the ability to predict the clinical and structural outcomes of the therapy. For this small initial longitudinal series, combination therapy is effective, as assessed by MRI, arthroscopy, viscoelasticity, histology, and the clinical outcomes of KOOS and LKS. Gene marker sets identified in autologous chondrocyte sheets may be predictive of the overall KOOS, LKS, and histological scores after therapy. These predictive gene sets may be potential alternative markers for evaluating OAK treatment. More... »

PAGES

4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41536-019-0069-4

DOI

http://dx.doi.org/10.1038/s41536-019-0069-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112285971

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30820353


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": "Tokai University", 
          "id": "https://www.grid.ac/institutes/grid.265061.6", 
          "name": [
            "Department of Orthopaedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sato", 
        "givenName": "Masato", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Women's Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410818.4", 
          "name": [
            "Institute of Advanced Biomedical Engineering and Science, Tokyo Women\u2019s Medical University, 8-1 Kawada-cho, Shinjuku, 162-8666, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamato", 
        "givenName": "Masayuki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokai University", 
          "id": "https://www.grid.ac/institutes/grid.265061.6", 
          "name": [
            "Department of Orthopaedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mitani", 
        "givenName": "Genya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokai University", 
          "id": "https://www.grid.ac/institutes/grid.265061.6", 
          "name": [
            "Department of Orthopaedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takagaki", 
        "givenName": "Tomonori", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokai University", 
          "id": "https://www.grid.ac/institutes/grid.265061.6", 
          "name": [
            "Department of Orthopaedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamahashi", 
        "givenName": "Kosuke", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokai University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412767.1", 
          "name": [
            "Cell Processing Center, Tokai University Hospital, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakamura", 
        "givenName": "Yoshihiko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Medical Engineering, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishihara", 
        "givenName": "Miya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "DNA Chip Research (Japan)", 
          "id": "https://www.grid.ac/institutes/grid.452377.0", 
          "name": [
            "DNA Chip Research Inc., 1-15-1 Kaigan, Suzue Baydium 5F Minato-ku, 105-0022, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matoba", 
        "givenName": "Ryo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokai University", 
          "id": "https://www.grid.ac/institutes/grid.265061.6", 
          "name": [
            "Department of Clinical Pharmacology, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kobayashi", 
        "givenName": "Hiroyuki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Women's Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410818.4", 
          "name": [
            "Institute of Advanced Biomedical Engineering and Science, Tokyo Women\u2019s Medical University, 8-1 Kawada-cho, Shinjuku, 162-8666, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okano", 
        "givenName": "Teruo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokai University", 
          "id": "https://www.grid.ac/institutes/grid.265061.6", 
          "name": [
            "Department of Orthopaedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mochida", 
        "givenName": "Joji", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokai University", 
          "id": "https://www.grid.ac/institutes/grid.265061.6", 
          "name": [
            "Department of Orthopaedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Masahiko", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1001/archinte.166.6.651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000106164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrrheum.2014.200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001446469", 
          "https://doi.org/10.1038/nrrheum.2014.200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10067-009-1301-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003080790", 
          "https://doi.org/10.1007/s10067-009-1301-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10067-009-1301-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003080790", 
          "https://doi.org/10.1007/s10067-009-1301-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10067-009-1301-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003080790", 
          "https://doi.org/10.1007/s10067-009-1301-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.reth.2015.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004209990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ar.22829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006746775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2012.03.073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007015586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00595-011-0106-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007195225", 
          "https://doi.org/10.1007/s00595-011-0106-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2005.08.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008149203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0033-8389(03)00161-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008775187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1477-7525-1-64", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018618871", 
          "https://doi.org/10.1186/1477-7525-1-64"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2012.01.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019178092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/joca.2001.0504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019809801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa040455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021668866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6750-9-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024480137", 
          "https://doi.org/10.1186/1472-6750-9-17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arthro.2008.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024988420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2006.08.096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028511880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2013.11.071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032378924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbm.820271005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036758756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-015-4324-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037500340", 
          "https://doi.org/10.1007/s11999-015-4324-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s11999-015-4324-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037500340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eats.2014.05.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040001004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0142-9612(95)93257-e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040951601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lsm.21065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042211291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/keh411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044384488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13075-015-0899-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045179125", 
          "https://doi.org/10.1186/s13075-015-0899-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gut.2005.088518", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047958555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lsm.20285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050662221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lsm.20285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050662221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/term.1610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050901920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/term.1764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051294694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.joca.2010.04.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052246941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/10763270152436517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059205982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/ten.tec.2015.0254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059314714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/ten.tec.2015.0254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059314714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-198509000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060161240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-198509000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060161240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-198509000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060161240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-200108000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060168795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-200108000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060168795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-200108000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060168795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-197153030-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068885070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/term.2257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083839379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s41232-017-0053-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092264605", 
          "https://doi.org/10.1186/s41232-017-0053-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Current cartilage regenerative therapies are not fully effective in treating osteoarthritis of the knee (OAK). We have developed chondrocyte sheets for autologous transplantation and tested these in in vitro and in vivo preclinical studies, and have reported that the transplantation of chondrocyte sheets promoted hyaline cartilage repair in rat, rabbit, and minipig models. However, autologous transplantation of chondrocyte sheets has yet to be reported in humans. Here, we report our combination therapy in which conventional surgical treatment for OAK, is followed by autologous chondrocyte sheet transplantation for cartilage repair. Eight patients with OAK and cartilage defects categorized arthroscopically as Outerbridge grade III or IV receive the therapy. Patients are thoroughly assessed by preoperative and postoperative X-rays, magnetic resonance imaging (MRI), arthroscopy, Knee injury and Osteoarthritis Outcome Score (KOOS), Lysholm Knee Score (LKS), and a laser-induced photoacoustic method to assess cartilage viscoelasticity. Arthroscopic biopsies of all patients are performed 12 months after transplantation for histological evaluation. The properties of the chondrocyte sheets are evaluated using gene expression analysis to investigate the ability to predict the clinical and structural outcomes of the therapy. For this small initial longitudinal series, combination therapy is effective, as assessed by MRI, arthroscopy, viscoelasticity, histology, and the clinical outcomes of KOOS and LKS. Gene marker sets identified in autologous chondrocyte sheets may be predictive of the overall KOOS, LKS, and histological scores after therapy. These predictive gene sets may be potential alternative markers for evaluating OAK treatment.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41536-019-0069-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1284500", 
        "issn": [
          "2057-3995"
        ], 
        "name": "npj Regenerative Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "Combined surgery and chondrocyte cell-sheet transplantation improves clinical and structural outcomes in knee osteoarthritis", 
    "pagination": "4", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "348d433b53cfb0ea86c38dd683dfa49263250f264cddaad418af0edfc3a079c0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30820353"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101699846"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41536-019-0069-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112285971"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41536-019-0069-4", 
      "https://app.dimensions.ai/details/publication/pub.1112285971"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:17", 
    "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/v90/0000000354_0000000354/records_11692_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41536-019-0069-4"
  }
]
 

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/s41536-019-0069-4'

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/s41536-019-0069-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41536-019-0069-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41536-019-0069-4'


 

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

265 TRIPLES      21 PREDICATES      66 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41536-019-0069-4 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Ncdc236c3b2ea4331a34599567199d717
4 schema:citation sg:pub.10.1007/s00595-011-0106-4
5 sg:pub.10.1007/s10067-009-1301-1
6 sg:pub.10.1007/s11999-015-4324-8
7 sg:pub.10.1038/nrrheum.2014.200
8 sg:pub.10.1186/1472-6750-9-17
9 sg:pub.10.1186/1477-7525-1-64
10 sg:pub.10.1186/s13075-015-0899-4
11 sg:pub.10.1186/s41232-017-0053-6
12 https://doi.org/10.1001/archinte.166.6.651
13 https://doi.org/10.1002/ar.22829
14 https://doi.org/10.1002/jbm.820271005
15 https://doi.org/10.1002/lsm.20285
16 https://doi.org/10.1002/lsm.21065
17 https://doi.org/10.1002/term.1610
18 https://doi.org/10.1002/term.1764
19 https://doi.org/10.1002/term.2257
20 https://doi.org/10.1007/s11999-015-4324-8
21 https://doi.org/10.1016/0142-9612(95)93257-e
22 https://doi.org/10.1016/j.arthro.2008.08.015
23 https://doi.org/10.1016/j.bbrc.2006.08.096
24 https://doi.org/10.1016/j.biomaterials.2012.01.056
25 https://doi.org/10.1016/j.biomaterials.2012.03.073
26 https://doi.org/10.1016/j.biomaterials.2013.11.071
27 https://doi.org/10.1016/j.eats.2014.05.009
28 https://doi.org/10.1016/j.ejrad.2005.08.007
29 https://doi.org/10.1016/j.joca.2010.04.016
30 https://doi.org/10.1016/j.reth.2015.06.003
31 https://doi.org/10.1016/s0033-8389(03)00161-1
32 https://doi.org/10.1053/joca.2001.0504
33 https://doi.org/10.1056/nejmoa040455
34 https://doi.org/10.1089/10763270152436517
35 https://doi.org/10.1089/ten.tec.2015.0254
36 https://doi.org/10.1093/rheumatology/keh411
37 https://doi.org/10.1097/00003086-198509000-00007
38 https://doi.org/10.1097/00003086-200108000-00002
39 https://doi.org/10.1136/gut.2005.088518
40 https://doi.org/10.2106/00004623-197153030-00009
41 schema:datePublished 2019-12
42 schema:datePublishedReg 2019-12-01
43 schema:description Current cartilage regenerative therapies are not fully effective in treating osteoarthritis of the knee (OAK). We have developed chondrocyte sheets for autologous transplantation and tested these in in vitro and in vivo preclinical studies, and have reported that the transplantation of chondrocyte sheets promoted hyaline cartilage repair in rat, rabbit, and minipig models. However, autologous transplantation of chondrocyte sheets has yet to be reported in humans. Here, we report our combination therapy in which conventional surgical treatment for OAK, is followed by autologous chondrocyte sheet transplantation for cartilage repair. Eight patients with OAK and cartilage defects categorized arthroscopically as Outerbridge grade III or IV receive the therapy. Patients are thoroughly assessed by preoperative and postoperative X-rays, magnetic resonance imaging (MRI), arthroscopy, Knee injury and Osteoarthritis Outcome Score (KOOS), Lysholm Knee Score (LKS), and a laser-induced photoacoustic method to assess cartilage viscoelasticity. Arthroscopic biopsies of all patients are performed 12 months after transplantation for histological evaluation. The properties of the chondrocyte sheets are evaluated using gene expression analysis to investigate the ability to predict the clinical and structural outcomes of the therapy. For this small initial longitudinal series, combination therapy is effective, as assessed by MRI, arthroscopy, viscoelasticity, histology, and the clinical outcomes of KOOS and LKS. Gene marker sets identified in autologous chondrocyte sheets may be predictive of the overall KOOS, LKS, and histological scores after therapy. These predictive gene sets may be potential alternative markers for evaluating OAK treatment.
44 schema:genre research_article
45 schema:inLanguage en
46 schema:isAccessibleForFree false
47 schema:isPartOf N35d1e3fae290441a84662ea391e2a03a
48 Ne48bf273cd4b4e2cbfb52539be5d9666
49 sg:journal.1284500
50 schema:name Combined surgery and chondrocyte cell-sheet transplantation improves clinical and structural outcomes in knee osteoarthritis
51 schema:pagination 4
52 schema:productId N1a0bd808de6b4d3b87d6b8e4ee2b6a15
53 N25bd96a146414e82b0124dc563a4e7db
54 N289076e2b6964fed9f4a53f98f74027a
55 N4f42c4f605a04f9aa55070a92d19760d
56 Nfb574960ed1f46e49c5b5196a460c3c4
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112285971
58 https://doi.org/10.1038/s41536-019-0069-4
59 schema:sdDatePublished 2019-04-11T11:17
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N31b3276f3fc149e8988d01380cbde012
62 schema:url https://www.nature.com/articles/s41536-019-0069-4
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N05b6943d1cee444690d37a09d1cd89a1 schema:affiliation https://www.grid.ac/institutes/grid.265061.6
67 schema:familyName Hamahashi
68 schema:givenName Kosuke
69 rdf:type schema:Person
70 N1a0bd808de6b4d3b87d6b8e4ee2b6a15 schema:name pubmed_id
71 schema:value 30820353
72 rdf:type schema:PropertyValue
73 N1e1c9abe63fd4277b868d95f09b291ac rdf:first N05b6943d1cee444690d37a09d1cd89a1
74 rdf:rest N701905a48f704d91a9601c321c5a36b7
75 N2048b566283c46708324b75afcf2012c schema:affiliation https://www.grid.ac/institutes/grid.265061.6
76 schema:familyName Sato
77 schema:givenName Masato
78 rdf:type schema:Person
79 N23e9ad26f88d44a7bc3a7454d0b541d8 rdf:first N9cef6a435b2a470fb8d08b4e1f5e2b15
80 rdf:rest Nf793a836398e443db772824f4529f827
81 N24d455a8f29e4f46a51f81517c5a767b rdf:first N813e97f7db244dadbf0eb287e210a54a
82 rdf:rest N72a659eebdf94cf391cd8c4ea0df6f23
83 N25bd96a146414e82b0124dc563a4e7db schema:name nlm_unique_id
84 schema:value 101699846
85 rdf:type schema:PropertyValue
86 N289076e2b6964fed9f4a53f98f74027a schema:name doi
87 schema:value 10.1038/s41536-019-0069-4
88 rdf:type schema:PropertyValue
89 N31b3276f3fc149e8988d01380cbde012 schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 N35d1e3fae290441a84662ea391e2a03a schema:volumeNumber 4
92 rdf:type schema:PublicationVolume
93 N382a793b2b944bc1802bf3ac43a17269 rdf:first N3a69fbd5913241b082b9541f23ef0471
94 rdf:rest N98865083f4b54dc3bea35af1e2c70a62
95 N3a69fbd5913241b082b9541f23ef0471 schema:affiliation https://www.grid.ac/institutes/grid.265061.6
96 schema:familyName Kobayashi
97 schema:givenName Hiroyuki
98 rdf:type schema:Person
99 N4f42c4f605a04f9aa55070a92d19760d schema:name readcube_id
100 schema:value 348d433b53cfb0ea86c38dd683dfa49263250f264cddaad418af0edfc3a079c0
101 rdf:type schema:PropertyValue
102 N701905a48f704d91a9601c321c5a36b7 rdf:first Nf7e6a1edbb194a5785eeab86074d744e
103 rdf:rest N23e9ad26f88d44a7bc3a7454d0b541d8
104 N72a659eebdf94cf391cd8c4ea0df6f23 rdf:first N8b1d0038e12a4b2395a848f4928f7da5
105 rdf:rest rdf:nil
106 N79c610fdc1a4479b9ea648f7a7ae8e0c schema:affiliation https://www.grid.ac/institutes/grid.410818.4
107 schema:familyName Okano
108 schema:givenName Teruo
109 rdf:type schema:Person
110 N7d6c4ca76c3c4d3ba10462fb4a70211b schema:affiliation https://www.grid.ac/institutes/grid.410818.4
111 schema:familyName Yamato
112 schema:givenName Masayuki
113 rdf:type schema:Person
114 N813e97f7db244dadbf0eb287e210a54a schema:affiliation https://www.grid.ac/institutes/grid.265061.6
115 schema:familyName Mochida
116 schema:givenName Joji
117 rdf:type schema:Person
118 N8580d0c7fbfd47cc91934ca975e214c2 rdf:first N7d6c4ca76c3c4d3ba10462fb4a70211b
119 rdf:rest Nd0933fada8f44f7c9219071ac165e46e
120 N8b1d0038e12a4b2395a848f4928f7da5 schema:affiliation https://www.grid.ac/institutes/grid.265061.6
121 schema:familyName Watanabe
122 schema:givenName Masahiko
123 rdf:type schema:Person
124 N98865083f4b54dc3bea35af1e2c70a62 rdf:first N79c610fdc1a4479b9ea648f7a7ae8e0c
125 rdf:rest N24d455a8f29e4f46a51f81517c5a767b
126 N9cef6a435b2a470fb8d08b4e1f5e2b15 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
127 schema:familyName Ishihara
128 schema:givenName Miya
129 rdf:type schema:Person
130 Nb1229060d1d54ddfbe6dcb01bc704c85 rdf:first Nce9fdd78243741769d0aafa9fbc1a9b5
131 rdf:rest N1e1c9abe63fd4277b868d95f09b291ac
132 Ncdc236c3b2ea4331a34599567199d717 rdf:first N2048b566283c46708324b75afcf2012c
133 rdf:rest N8580d0c7fbfd47cc91934ca975e214c2
134 Nce9fdd78243741769d0aafa9fbc1a9b5 schema:affiliation https://www.grid.ac/institutes/grid.265061.6
135 schema:familyName Takagaki
136 schema:givenName Tomonori
137 rdf:type schema:Person
138 Nd0933fada8f44f7c9219071ac165e46e rdf:first Nd9eb3e7d07fd4538a6cf8efe01bc49ae
139 rdf:rest Nb1229060d1d54ddfbe6dcb01bc704c85
140 Nd9eb3e7d07fd4538a6cf8efe01bc49ae schema:affiliation https://www.grid.ac/institutes/grid.265061.6
141 schema:familyName Mitani
142 schema:givenName Genya
143 rdf:type schema:Person
144 Ne48bf273cd4b4e2cbfb52539be5d9666 schema:issueNumber 1
145 rdf:type schema:PublicationIssue
146 Nee7b2b6c13b0428d87a0efa08d3637b4 schema:affiliation https://www.grid.ac/institutes/grid.452377.0
147 schema:familyName Matoba
148 schema:givenName Ryo
149 rdf:type schema:Person
150 Nf793a836398e443db772824f4529f827 rdf:first Nee7b2b6c13b0428d87a0efa08d3637b4
151 rdf:rest N382a793b2b944bc1802bf3ac43a17269
152 Nf7e6a1edbb194a5785eeab86074d744e schema:affiliation https://www.grid.ac/institutes/grid.412767.1
153 schema:familyName Nakamura
154 schema:givenName Yoshihiko
155 rdf:type schema:Person
156 Nfb574960ed1f46e49c5b5196a460c3c4 schema:name dimensions_id
157 schema:value pub.1112285971
158 rdf:type schema:PropertyValue
159 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
160 schema:name Medical and Health Sciences
161 rdf:type schema:DefinedTerm
162 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
163 schema:name Clinical Sciences
164 rdf:type schema:DefinedTerm
165 sg:journal.1284500 schema:issn 2057-3995
166 schema:name npj Regenerative Medicine
167 rdf:type schema:Periodical
168 sg:pub.10.1007/s00595-011-0106-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007195225
169 https://doi.org/10.1007/s00595-011-0106-4
170 rdf:type schema:CreativeWork
171 sg:pub.10.1007/s10067-009-1301-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003080790
172 https://doi.org/10.1007/s10067-009-1301-1
173 rdf:type schema:CreativeWork
174 sg:pub.10.1007/s11999-015-4324-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037500340
175 https://doi.org/10.1007/s11999-015-4324-8
176 rdf:type schema:CreativeWork
177 sg:pub.10.1038/nrrheum.2014.200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001446469
178 https://doi.org/10.1038/nrrheum.2014.200
179 rdf:type schema:CreativeWork
180 sg:pub.10.1186/1472-6750-9-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024480137
181 https://doi.org/10.1186/1472-6750-9-17
182 rdf:type schema:CreativeWork
183 sg:pub.10.1186/1477-7525-1-64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018618871
184 https://doi.org/10.1186/1477-7525-1-64
185 rdf:type schema:CreativeWork
186 sg:pub.10.1186/s13075-015-0899-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045179125
187 https://doi.org/10.1186/s13075-015-0899-4
188 rdf:type schema:CreativeWork
189 sg:pub.10.1186/s41232-017-0053-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092264605
190 https://doi.org/10.1186/s41232-017-0053-6
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1001/archinte.166.6.651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000106164
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1002/ar.22829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006746775
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1002/jbm.820271005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036758756
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1002/lsm.20285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050662221
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1002/lsm.21065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042211291
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1002/term.1610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050901920
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1002/term.1764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051294694
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1002/term.2257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083839379
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1007/s11999-015-4324-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037500340
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/0142-9612(95)93257-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1040951601
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.arthro.2008.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024988420
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.bbrc.2006.08.096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028511880
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.biomaterials.2012.01.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019178092
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.biomaterials.2012.03.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007015586
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.biomaterials.2013.11.071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032378924
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.eats.2014.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040001004
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.ejrad.2005.08.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008149203
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.joca.2010.04.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052246941
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.reth.2015.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004209990
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/s0033-8389(03)00161-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008775187
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1053/joca.2001.0504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019809801
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1056/nejmoa040455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021668866
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1089/10763270152436517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059205982
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1089/ten.tec.2015.0254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059314714
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1093/rheumatology/keh411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044384488
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1097/00003086-198509000-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060161240
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1097/00003086-200108000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060168795
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1136/gut.2005.088518 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047958555
247 rdf:type schema:CreativeWork
248 https://doi.org/10.2106/00004623-197153030-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068885070
249 rdf:type schema:CreativeWork
250 https://www.grid.ac/institutes/grid.265061.6 schema:alternateName Tokai University
251 schema:name Department of Clinical Pharmacology, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan
252 Department of Orthopaedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan
253 rdf:type schema:Organization
254 https://www.grid.ac/institutes/grid.410818.4 schema:alternateName Tokyo Women's Medical University
255 schema:name Institute of Advanced Biomedical Engineering and Science, Tokyo Women’s Medical University, 8-1 Kawada-cho, Shinjuku, 162-8666, Tokyo, Japan
256 rdf:type schema:Organization
257 https://www.grid.ac/institutes/grid.412767.1 schema:alternateName Tokai University Hospital
258 schema:name Cell Processing Center, Tokai University Hospital, 143 Shimokasuya, 259-1193, Isehara, Kanagawa, Japan
259 rdf:type schema:Organization
260 https://www.grid.ac/institutes/grid.416614.0 schema:alternateName National Defense Medical College
261 schema:name Department of Medical Engineering, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan
262 rdf:type schema:Organization
263 https://www.grid.ac/institutes/grid.452377.0 schema:alternateName DNA Chip Research (Japan)
264 schema:name DNA Chip Research Inc., 1-15-1 Kaigan, Suzue Baydium 5F Minato-ku, 105-0022, Tokyo, Japan
265 rdf:type schema:Organization
 




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


...