Establishment of Novel Murine Model showing Vascular Inflammation-derived Cognitive Dysfunction View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Tsuyoshi Hashizume, Bo-Kyung Son, Sakiko Taniguchi, Koichi Ito, Yoshihiro Noda, Tamao Endo, Michiko Nanao-Hamai, Sumito Ogawa, Masahiro Akishita

ABSTRACT

Inflammation is a critical feature of aging and its related diseases, including cardiovascular diseases. Recent epidemiological studies demonstrated that abdominal aortic aneurysm (AAA), an aging-related vascular pathological condition, is associated with cognitive decline. However, the underlying mechanism, especially the role of vascular inflammation, is largely unknown because of lack of an available animal model. In this study, we examined whether vascular inflammation affects synaptic and cognitive dysfunction, using an AAA mouse model. In young (3 months) and middle-aged (12 months) C57BL/6J mice, AAA was induced by angiotensin II infusion with calcium chloride application. After 4 weeks of induction, aortic diameter was significantly increased and excessive Mac3-positive inflammatory cells infiltrated the destroyed aorta in middle-aged mice. AAA-induced middle-aged mice further exhibited cognitive impairment. Neuronal loss was observed in the CA3 region of the hippocampus. IBA1/MHCII-double-positive microglia activation was also seen in the hippocampus, suggesting that vascular inflammation drives neuroinflammation and subsequent cognitive dysfunction. Furthermore, we found that senescence-accelerated mice prone 8 exhibited robust AAA formation and a marked decrease of cognitive and synaptic function in the hippocampus mediated by inflammation. In conclusion, this novel murine model convincingly suggested the occurrence of vascular inflammation-derived cognitive dysfunction. More... »

PAGES

4023

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-40726-z

DOI

http://dx.doi.org/10.1038/s41598-019-40726-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112674227

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30858535


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": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hashizume", 
        "givenName": "Tsuyoshi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan", 
            "Institute of Gerontology, The University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Son", 
        "givenName": "Bo-Kyung", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Food and Physiological Models, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Taniguchi", 
        "givenName": "Sakiko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Food and Physiological Models, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ito", 
        "givenName": "Koichi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan Institute of Gerontology", 
          "id": "https://www.grid.ac/institutes/grid.420122.7", 
          "name": [
            "Animal Facility, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Noda", 
        "givenName": "Yoshihiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan Institute of Gerontology", 
          "id": "https://www.grid.ac/institutes/grid.420122.7", 
          "name": [
            "Animal Facility, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Endo", 
        "givenName": "Tamao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nanao-Hamai", 
        "givenName": "Michiko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ogawa", 
        "givenName": "Sumito", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Akishita", 
        "givenName": "Masahiro", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.pneurobio.2011.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000237949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2009.11.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000492685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12035-015-9543-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000697068", 
          "https://doi.org/10.1007/s12035-015-9543-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12035-015-9543-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000697068", 
          "https://doi.org/10.1007/s12035-015-9543-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11064-012-0708-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000867121", 
          "https://doi.org/10.1007/s11064-012-0708-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0022632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001203706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1196/annals.1383.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001509606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1196/annals.1383.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001509606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/jcbfm.2013.143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002799519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/jcbfm.2013.143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002799519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00221-015-4383-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004203133", 
          "https://doi.org/10.1007/s00221-015-4383-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejphar.2007.08.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004625483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atherosclerosis.2013.08.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005824979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurpub/14.4.343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006829372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.psyneuen.2007.09.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007736281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patbio.2011.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007827521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2012.01.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010946659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms7994", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012188139", 
          "https://doi.org/10.1038/ncomms7994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.psyneuen.2013.11.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012424704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-4328(00)00180-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013500120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/373151a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014680055", 
          "https://doi.org/10.1038/373151a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/awr253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016046635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1000645107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018419001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.maturitas.2014.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019871173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.maturitas.2014.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019871173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2013.01.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020447495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.107.745091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021738368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.87.12.4600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022405565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1352458512440207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024219865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1352458512440207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024219865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1352458512440207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024219865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hc3901.096721", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024728546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1742-2094-1-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027105330", 
          "https://doi.org/10.1186/1742-2094-1-14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.3510-08.2008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030814717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.151224898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030964318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.coph.2008.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031763324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2011.02.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031819965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.psyneuen.2007.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032037191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.10.5.680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032775070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arr.2008.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037837034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ana.22512", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038285026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atherosclerosis.2004.11.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039741424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.111.077503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039841170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.111.077503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039841170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep04051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040669278", 
          "https://doi.org/10.1038/srep04051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrcardio.2010.180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041681314", 
          "https://doi.org/10.1038/nrcardio.2010.180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mad.2006.11.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044331674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mad.2006.11.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044875519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.21.11.3807-3819.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044928943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jnr.22811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045072317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci64098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045091566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03327390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045238969", 
          "https://doi.org/10.1007/bf03327390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrneurol.2010.17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045968907", 
          "https://doi.org/10.1038/nrneurol.2010.17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrneurol.2010.17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045968907", 
          "https://doi.org/10.1038/nrneurol.2010.17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(12)62167-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051639531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/circj.cj-14-0972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052110710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jamda.2015.01.098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053453406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1321493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062475345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1160/th10-09-0589", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063292546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0b013e318227b227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064356335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0b013e318227b227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064356335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/wnl.0b013e318227b227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064356335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-142-3-200502010-00012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073707924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/jaha.115.002993", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079263858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082462442", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00702-018-1883-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103664386", 
          "https://doi.org/10.1007/s00702-018-1883-3"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Inflammation is a critical feature of aging and its related diseases, including cardiovascular diseases. Recent epidemiological studies demonstrated that abdominal aortic aneurysm (AAA), an aging-related vascular pathological condition, is associated with cognitive decline. However, the underlying mechanism, especially the role of vascular inflammation, is largely unknown because of lack of an available animal model. In this study, we examined whether vascular inflammation affects synaptic and cognitive dysfunction, using an AAA mouse model. In young (3 months) and middle-aged (12 months) C57BL/6J mice, AAA was induced by angiotensin II infusion with calcium chloride application. After 4 weeks of induction, aortic diameter was significantly increased and excessive Mac3-positive inflammatory cells infiltrated the destroyed aorta in middle-aged mice. AAA-induced middle-aged mice further exhibited cognitive impairment. Neuronal loss was observed in the CA3 region of the hippocampus. IBA1/MHCII-double-positive microglia activation was also seen in the hippocampus, suggesting that vascular inflammation drives neuroinflammation and subsequent cognitive dysfunction. Furthermore, we found that senescence-accelerated mice prone 8 exhibited robust AAA formation and a marked decrease of cognitive and synaptic function in the hippocampus mediated by inflammation. In conclusion, this novel murine model convincingly suggested the occurrence of vascular inflammation-derived cognitive dysfunction.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-40726-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Establishment of Novel Murine Model showing Vascular Inflammation-derived Cognitive Dysfunction", 
    "pagination": "4023", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0247a2c3da047ef854e0b583369ef5ed902b8a0398c2c24ab27cf27559ef059b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30858535"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-40726-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112674227"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-40726-z", 
      "https://app.dimensions.ai/details/publication/pub.1112674227"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:17", 
    "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/v90/0000000368_0000000368/records_78934_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-40726-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40726-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40726-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40726-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40726-z'


 

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

298 TRIPLES      21 PREDICATES      85 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-40726-z schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N5e00b76fb1dc4494a697c13998247ab3
4 schema:citation sg:pub.10.1007/bf03327390
5 sg:pub.10.1007/s00221-015-4383-9
6 sg:pub.10.1007/s00702-018-1883-3
7 sg:pub.10.1007/s11064-012-0708-2
8 sg:pub.10.1007/s12035-015-9543-1
9 sg:pub.10.1038/373151a0
10 sg:pub.10.1038/ncomms7994
11 sg:pub.10.1038/nrcardio.2010.180
12 sg:pub.10.1038/nrneurol.2010.17
13 sg:pub.10.1038/srep04051
14 sg:pub.10.1186/1742-2094-1-14
15 https://app.dimensions.ai/details/publication/pub.1082462442
16 https://doi.org/10.1002/ana.22512
17 https://doi.org/10.1002/jnr.22811
18 https://doi.org/10.1016/j.arr.2008.07.002
19 https://doi.org/10.1016/j.atherosclerosis.2004.11.016
20 https://doi.org/10.1016/j.atherosclerosis.2013.08.038
21 https://doi.org/10.1016/j.cell.2012.01.022
22 https://doi.org/10.1016/j.celrep.2013.01.028
23 https://doi.org/10.1016/j.coph.2008.04.002
24 https://doi.org/10.1016/j.ejphar.2007.08.046
25 https://doi.org/10.1016/j.jamda.2015.01.098
26 https://doi.org/10.1016/j.mad.2006.11.015
27 https://doi.org/10.1016/j.mad.2006.11.016
28 https://doi.org/10.1016/j.maturitas.2014.04.012
29 https://doi.org/10.1016/j.neuron.2009.11.032
30 https://doi.org/10.1016/j.neuron.2011.02.049
31 https://doi.org/10.1016/j.patbio.2011.10.006
32 https://doi.org/10.1016/j.pneurobio.2011.07.001
33 https://doi.org/10.1016/j.psyneuen.2007.09.004
34 https://doi.org/10.1016/j.psyneuen.2007.10.002
35 https://doi.org/10.1016/j.psyneuen.2013.11.011
36 https://doi.org/10.1016/s0140-6736(12)62167-9
37 https://doi.org/10.1016/s0166-4328(00)00180-7
38 https://doi.org/10.1038/jcbfm.2013.143
39 https://doi.org/10.1073/pnas.1000645107
40 https://doi.org/10.1073/pnas.151224898
41 https://doi.org/10.1073/pnas.87.12.4600
42 https://doi.org/10.1093/brain/awr253
43 https://doi.org/10.1093/eurpub/14.4.343
44 https://doi.org/10.1126/science.1321493
45 https://doi.org/10.1128/mcb.21.11.3807-3819.2001
46 https://doi.org/10.1160/th10-09-0589
47 https://doi.org/10.1161/01.atv.10.5.680
48 https://doi.org/10.1161/circulationaha.107.745091
49 https://doi.org/10.1161/circulationaha.111.077503
50 https://doi.org/10.1161/hc3901.096721
51 https://doi.org/10.1161/jaha.115.002993
52 https://doi.org/10.1172/jci64098
53 https://doi.org/10.1177/1352458512440207
54 https://doi.org/10.1196/annals.1383.009
55 https://doi.org/10.1212/wnl.0b013e318227b227
56 https://doi.org/10.1253/circj.cj-14-0972
57 https://doi.org/10.1371/journal.pone.0022632
58 https://doi.org/10.1523/jneurosci.3510-08.2008
59 https://doi.org/10.7326/0003-4819-142-3-200502010-00012
60 schema:datePublished 2019-12
61 schema:datePublishedReg 2019-12-01
62 schema:description Inflammation is a critical feature of aging and its related diseases, including cardiovascular diseases. Recent epidemiological studies demonstrated that abdominal aortic aneurysm (AAA), an aging-related vascular pathological condition, is associated with cognitive decline. However, the underlying mechanism, especially the role of vascular inflammation, is largely unknown because of lack of an available animal model. In this study, we examined whether vascular inflammation affects synaptic and cognitive dysfunction, using an AAA mouse model. In young (3 months) and middle-aged (12 months) C57BL/6J mice, AAA was induced by angiotensin II infusion with calcium chloride application. After 4 weeks of induction, aortic diameter was significantly increased and excessive Mac3-positive inflammatory cells infiltrated the destroyed aorta in middle-aged mice. AAA-induced middle-aged mice further exhibited cognitive impairment. Neuronal loss was observed in the CA3 region of the hippocampus. IBA1/MHCII-double-positive microglia activation was also seen in the hippocampus, suggesting that vascular inflammation drives neuroinflammation and subsequent cognitive dysfunction. Furthermore, we found that senescence-accelerated mice prone 8 exhibited robust AAA formation and a marked decrease of cognitive and synaptic function in the hippocampus mediated by inflammation. In conclusion, this novel murine model convincingly suggested the occurrence of vascular inflammation-derived cognitive dysfunction.
63 schema:genre research_article
64 schema:inLanguage en
65 schema:isAccessibleForFree true
66 schema:isPartOf N169b790092964108aed3a4acb577b7cf
67 N777e37645ad0473d81ae76b481ca3f06
68 sg:journal.1045337
69 schema:name Establishment of Novel Murine Model showing Vascular Inflammation-derived Cognitive Dysfunction
70 schema:pagination 4023
71 schema:productId N05b9e1d465cf45558cf6fc38fafaf173
72 N2c10182370f74ae8bcd48626a581cf22
73 Na2553181fc26456488f22dbc5f4cbd46
74 Nda0b9f6e9aa44ea5910dff5ce3c1b390
75 Nfdf69c46882346a9929a06809c6b94e8
76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112674227
77 https://doi.org/10.1038/s41598-019-40726-z
78 schema:sdDatePublished 2019-04-11T13:17
79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
80 schema:sdPublisher N9ffeeee22d474372b1e562cd25bfc4f4
81 schema:url https://www.nature.com/articles/s41598-019-40726-z
82 sgo:license sg:explorer/license/
83 sgo:sdDataset articles
84 rdf:type schema:ScholarlyArticle
85 N01ee717ce687480287e4c1e43f5e2f06 schema:affiliation https://www.grid.ac/institutes/grid.420122.7
86 schema:familyName Endo
87 schema:givenName Tamao
88 rdf:type schema:Person
89 N05b9e1d465cf45558cf6fc38fafaf173 schema:name doi
90 schema:value 10.1038/s41598-019-40726-z
91 rdf:type schema:PropertyValue
92 N169b790092964108aed3a4acb577b7cf schema:issueNumber 1
93 rdf:type schema:PublicationIssue
94 N25e03a1f031e421ba6ad018ef443c955 rdf:first N01ee717ce687480287e4c1e43f5e2f06
95 rdf:rest N5db5e03dceb84434841fa2bf9754d57e
96 N2c10182370f74ae8bcd48626a581cf22 schema:name nlm_unique_id
97 schema:value 101563288
98 rdf:type schema:PropertyValue
99 N46e3e49137124de581f5b5143ddb6ae3 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
100 schema:familyName Taniguchi
101 schema:givenName Sakiko
102 rdf:type schema:Person
103 N4e37a6821c834abc91de83ff32f1c495 rdf:first Nadee3926b1ba41e1b623675b936c3cd1
104 rdf:rest Na723b6c7440e4b5381241f7b4483a3bb
105 N5db5e03dceb84434841fa2bf9754d57e rdf:first Nbde351c1a55141e790264bdbedfa2fcc
106 rdf:rest Nc350515eea1d4244be141c7a4975dea4
107 N5e00b76fb1dc4494a697c13998247ab3 rdf:first N638496b476274c6ba4910983507cbda2
108 rdf:rest N4e37a6821c834abc91de83ff32f1c495
109 N638496b476274c6ba4910983507cbda2 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
110 schema:familyName Hashizume
111 schema:givenName Tsuyoshi
112 rdf:type schema:Person
113 N777e37645ad0473d81ae76b481ca3f06 schema:volumeNumber 9
114 rdf:type schema:PublicationVolume
115 N8602f8fe48dd47bca2a476ae897430bf rdf:first Ncfb81ae1d0f1424db2851286bb443f92
116 rdf:rest N25e03a1f031e421ba6ad018ef443c955
117 N8e983c9abccb466fa6096ad30af0954f schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
118 schema:familyName Ogawa
119 schema:givenName Sumito
120 rdf:type schema:Person
121 N9ffeeee22d474372b1e562cd25bfc4f4 schema:name Springer Nature - SN SciGraph project
122 rdf:type schema:Organization
123 Na2553181fc26456488f22dbc5f4cbd46 schema:name pubmed_id
124 schema:value 30858535
125 rdf:type schema:PropertyValue
126 Na3b80814be89467ba18c80d2496414e8 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
127 schema:familyName Ito
128 schema:givenName Koichi
129 rdf:type schema:Person
130 Na723b6c7440e4b5381241f7b4483a3bb rdf:first N46e3e49137124de581f5b5143ddb6ae3
131 rdf:rest Ncb2a1acbb292463cabf5b11de17ed35b
132 Nadee3926b1ba41e1b623675b936c3cd1 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
133 schema:familyName Son
134 schema:givenName Bo-Kyung
135 rdf:type schema:Person
136 Nbde351c1a55141e790264bdbedfa2fcc schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
137 schema:familyName Nanao-Hamai
138 schema:givenName Michiko
139 rdf:type schema:Person
140 Nc350515eea1d4244be141c7a4975dea4 rdf:first N8e983c9abccb466fa6096ad30af0954f
141 rdf:rest Ne8c54971ca7448e48dd66148e4478119
142 Nc3b99c9efb0741658d9d3e273ad9a545 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
143 schema:familyName Akishita
144 schema:givenName Masahiro
145 rdf:type schema:Person
146 Ncb2a1acbb292463cabf5b11de17ed35b rdf:first Na3b80814be89467ba18c80d2496414e8
147 rdf:rest N8602f8fe48dd47bca2a476ae897430bf
148 Ncfb81ae1d0f1424db2851286bb443f92 schema:affiliation https://www.grid.ac/institutes/grid.420122.7
149 schema:familyName Noda
150 schema:givenName Yoshihiro
151 rdf:type schema:Person
152 Nda0b9f6e9aa44ea5910dff5ce3c1b390 schema:name dimensions_id
153 schema:value pub.1112674227
154 rdf:type schema:PropertyValue
155 Ne8c54971ca7448e48dd66148e4478119 rdf:first Nc3b99c9efb0741658d9d3e273ad9a545
156 rdf:rest rdf:nil
157 Nfdf69c46882346a9929a06809c6b94e8 schema:name readcube_id
158 schema:value 0247a2c3da047ef854e0b583369ef5ed902b8a0398c2c24ab27cf27559ef059b
159 rdf:type schema:PropertyValue
160 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
161 schema:name Medical and Health Sciences
162 rdf:type schema:DefinedTerm
163 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
164 schema:name Clinical Sciences
165 rdf:type schema:DefinedTerm
166 sg:journal.1045337 schema:issn 2045-2322
167 schema:name Scientific Reports
168 rdf:type schema:Periodical
169 sg:pub.10.1007/bf03327390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045238969
170 https://doi.org/10.1007/bf03327390
171 rdf:type schema:CreativeWork
172 sg:pub.10.1007/s00221-015-4383-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004203133
173 https://doi.org/10.1007/s00221-015-4383-9
174 rdf:type schema:CreativeWork
175 sg:pub.10.1007/s00702-018-1883-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103664386
176 https://doi.org/10.1007/s00702-018-1883-3
177 rdf:type schema:CreativeWork
178 sg:pub.10.1007/s11064-012-0708-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000867121
179 https://doi.org/10.1007/s11064-012-0708-2
180 rdf:type schema:CreativeWork
181 sg:pub.10.1007/s12035-015-9543-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000697068
182 https://doi.org/10.1007/s12035-015-9543-1
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/373151a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014680055
185 https://doi.org/10.1038/373151a0
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/ncomms7994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012188139
188 https://doi.org/10.1038/ncomms7994
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/nrcardio.2010.180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041681314
191 https://doi.org/10.1038/nrcardio.2010.180
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/nrneurol.2010.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045968907
194 https://doi.org/10.1038/nrneurol.2010.17
195 rdf:type schema:CreativeWork
196 sg:pub.10.1038/srep04051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040669278
197 https://doi.org/10.1038/srep04051
198 rdf:type schema:CreativeWork
199 sg:pub.10.1186/1742-2094-1-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027105330
200 https://doi.org/10.1186/1742-2094-1-14
201 rdf:type schema:CreativeWork
202 https://app.dimensions.ai/details/publication/pub.1082462442 schema:CreativeWork
203 https://doi.org/10.1002/ana.22512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038285026
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1002/jnr.22811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045072317
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.arr.2008.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037837034
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.atherosclerosis.2004.11.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039741424
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.atherosclerosis.2013.08.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005824979
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.cell.2012.01.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010946659
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.celrep.2013.01.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020447495
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.coph.2008.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031763324
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.ejphar.2007.08.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004625483
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.jamda.2015.01.098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053453406
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.mad.2006.11.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044875519
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.mad.2006.11.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044331674
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.maturitas.2014.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019871173
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.neuron.2009.11.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000492685
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.neuron.2011.02.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031819965
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/j.patbio.2011.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007827521
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/j.pneurobio.2011.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000237949
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/j.psyneuen.2007.09.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007736281
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.psyneuen.2007.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032037191
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.psyneuen.2013.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012424704
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/s0140-6736(12)62167-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051639531
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/s0166-4328(00)00180-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013500120
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1038/jcbfm.2013.143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002799519
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1073/pnas.1000645107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018419001
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1073/pnas.151224898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030964318
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1073/pnas.87.12.4600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022405565
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1093/brain/awr253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016046635
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1093/eurpub/14.4.343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006829372
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1126/science.1321493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062475345
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1128/mcb.21.11.3807-3819.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044928943
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1160/th10-09-0589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063292546
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1161/01.atv.10.5.680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032775070
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1161/circulationaha.107.745091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021738368
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1161/circulationaha.111.077503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039841170
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1161/hc3901.096721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024728546
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1161/jaha.115.002993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079263858
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1172/jci64098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045091566
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1177/1352458512440207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024219865
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1196/annals.1383.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001509606
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1212/wnl.0b013e318227b227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064356335
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1253/circj.cj-14-0972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052110710
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1371/journal.pone.0022632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001203706
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1523/jneurosci.3510-08.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030814717
288 rdf:type schema:CreativeWork
289 https://doi.org/10.7326/0003-4819-142-3-200502010-00012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073707924
290 rdf:type schema:CreativeWork
291 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
292 schema:name Department of Food and Physiological Models, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
293 Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
294 Institute of Gerontology, The University of Tokyo, Tokyo, Japan
295 rdf:type schema:Organization
296 https://www.grid.ac/institutes/grid.420122.7 schema:alternateName Tokyo Metropolitan Institute of Gerontology
297 schema:name Animal Facility, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
298 rdf:type schema:Organization
 




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


...