Female adipose tissue-specific Bscl2 knockout mice develop only moderate metabolic dysfunction when housed at thermoneutrality and fed a high-fat diet View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

George D. Mcilroy, Sharon E. Mitchell, Weiping Han, Mirela Delibegović, Justin J. Rochford

ABSTRACT

Mutations affecting the BSCL2 gene cause the most severe form of congenital generalised lipodystrophy. Affected individuals almost completely lack adipose tissue and suffer from severe diabetes and metabolic complications. Likewise, mice lacking Bscl2 in all tissues have dramatically reduced adipose mass, glucose intolerance and hyperinsulinaemia. However, male adipose tissue-specific Bscl2 knockout mice fail to develop the metabolic dysfunction observed in Bscl2 null mice and BSCL2 deficient patients, despite a similar generalised lack of adipose tissues. Clinical reports indicate gender differences frequently exist in cases of lipodystrophy, with female patients more adversely affected than male patients. We therefore generated and characterised female mice lacking Bscl2 specifically in adipose tissue (Ad-B2(-/-)). We show that female Ad-B2(-/-) mice also develop early-onset lipodystrophy when fed a chow diet and are maintained under standard housing conditions (21 °C) or thermoneutrality (30 °C). Despite this, female Ad-B2(-/-) mice fail to develop severe metabolic dysfunction. Only when female Ad-B2(-/-) mice are maintained at thermoneutrality and fed a high-fat diet do subtle alterations to metabolic homeostasis manifest. This is despite a striking inability to expand adipose mass. Our findings provide further evidence that loss of Bscl2 in non-adipose tissues may contribute to the severity of metabolic dysfunction in this condition. More... »

PAGES

17863

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-36078-9

DOI

http://dx.doi.org/10.1038/s41598-018-36078-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110510358

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30552349


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 Aberdeen", 
          "id": "https://www.grid.ac/institutes/grid.7107.1", 
          "name": [
            "The Rowett Institute, University of Aberdeen, Aberdeen, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mcilroy", 
        "givenName": "George D.", 
        "id": "sg:person.01305522417.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305522417.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Aberdeen", 
          "id": "https://www.grid.ac/institutes/grid.7107.1", 
          "name": [
            "Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mitchell", 
        "givenName": "Sharon E.", 
        "id": "sg:person.01301375657.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301375657.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Singapore Bioimaging Consortium", 
          "id": "https://www.grid.ac/institutes/grid.452254.0", 
          "name": [
            "Laboratory of Metabolic Medicine, Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Weiping", 
        "id": "sg:person.01061755457.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061755457.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Aberdeen", 
          "id": "https://www.grid.ac/institutes/grid.7107.1", 
          "name": [
            "Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Delibegovi\u0107", 
        "givenName": "Mirela", 
        "id": "sg:person.01270073503.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270073503.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Aberdeen", 
          "id": "https://www.grid.ac/institutes/grid.7107.1", 
          "name": [
            "The Rowett Institute, University of Aberdeen, Aberdeen, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rochford", 
        "givenName": "Justin J.", 
        "id": "sg:person.01240532676.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240532676.80"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.molmet.2012.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001027960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2016.10.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002248210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng880", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007676747", 
          "https://doi.org/10.1038/ng880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng880", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007676747", 
          "https://doi.org/10.1038/ng880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00429-015-1151-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007747088", 
          "https://doi.org/10.1007/s00429-015-1151-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008476740", 
          "https://doi.org/10.1038/ng585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008476740", 
          "https://doi.org/10.1038/ng585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddu126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010109726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-013-3029-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013992360", 
          "https://doi.org/10.1007/s00125-013-3029-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-013-3029-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013992360", 
          "https://doi.org/10.1007/s00125-013-3029-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-013-3029-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013992360", 
          "https://doi.org/10.1007/s00125-013-3029-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.01120-15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014385864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2016-1005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015900162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/jeb.050989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016643955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbalip.2008.12.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017892723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m060244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019874023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmet.2014.12.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019929909"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-013-2926-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019956412", 
          "https://doi.org/10.1007/s00125-013-2926-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-013-2926-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019956412", 
          "https://doi.org/10.1007/s00125-013-2926-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.06465-11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020358858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.febslet.2006.03.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021042241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep35487", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024908528", 
          "https://doi.org/10.1038/srep35487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2014.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025234558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11745-016-4210-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025745342", 
          "https://doi.org/10.1007/s11745-016-4210-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030810886", 
          "https://doi.org/10.1038/ng1313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030810886", 
          "https://doi.org/10.1038/ng1313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db08-0184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031721741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/oby.2010.105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038088710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-0004.2004.00372.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042498574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/joe-10-0272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046958112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddr205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048073579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0045790", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048202978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biochi.2013.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049584780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0085876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050212936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm.3891", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052082621", 
          "https://doi.org/10.1038/nm.3891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci38660", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052222542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci38660", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052222542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2015.02.147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053308518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi1013003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055203583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi1013003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055203583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci15001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063415322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2009-0236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064249947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2014-1292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064252383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2007-1328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064290119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2011-1159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064292861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.85.5.1776", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064301380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem.85.7.6661", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064323593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem.85.7.6661", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064323593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db16-0733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070729953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2017.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100274186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2017.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100274186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmet.2018.01.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100755825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmet.2018.01.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100755825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fj.201701427r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103877775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fj.201701427r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103877775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fj.201701427r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103877775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2018.04.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104214876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2018.04.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104214876"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Mutations affecting the BSCL2 gene cause the most severe form of congenital generalised lipodystrophy. Affected individuals almost completely lack adipose tissue and suffer from severe diabetes and metabolic complications. Likewise, mice lacking Bscl2 in all tissues have dramatically reduced adipose mass, glucose intolerance and hyperinsulinaemia. However, male adipose tissue-specific Bscl2 knockout mice fail to develop the metabolic dysfunction observed in Bscl2 null mice and BSCL2 deficient patients, despite a similar generalised lack of adipose tissues. Clinical reports indicate gender differences frequently exist in cases of lipodystrophy, with female patients more adversely affected than male patients. We therefore generated and characterised female mice lacking Bscl2 specifically in adipose tissue (Ad-B2(-/-)). We show that female Ad-B2(-/-) mice also develop early-onset lipodystrophy when fed a chow diet and are maintained under standard housing conditions (21\u2009\u00b0C) or thermoneutrality (30\u2009\u00b0C). Despite this, female Ad-B2(-/-) mice fail to develop severe metabolic dysfunction. Only when female Ad-B2(-/-) mice are maintained at thermoneutrality and fed a high-fat diet do subtle alterations to metabolic homeostasis manifest. This is despite a striking inability to expand adipose mass. Our findings provide further evidence that loss of Bscl2 in non-adipose tissues may contribute to the severity of metabolic dysfunction in this condition.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-36078-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3560050", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3864068", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5143486", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5143762", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5072786", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Female adipose tissue-specific Bscl2 knockout mice develop only moderate metabolic dysfunction when housed at thermoneutrality and fed a high-fat diet", 
    "pagination": "17863", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "033f03a263984a0d4d3463dd4b287bc97523cc844f195f7e7cec6c33ce3b6925"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30552349"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-36078-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110510358"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-36078-9", 
      "https://app.dimensions.ai/details/publication/pub.1110510358"
    ], 
    "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/s41598-018-36078-9"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36078-9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36078-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36078-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36078-9'


 

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

252 TRIPLES      21 PREDICATES      73 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-36078-9 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N91ac60eec4074af9b10e0e1476904cf6
4 schema:citation sg:pub.10.1007/s00125-013-2926-9
5 sg:pub.10.1007/s00125-013-3029-3
6 sg:pub.10.1007/s00429-015-1151-3
7 sg:pub.10.1007/s11745-016-4210-5
8 sg:pub.10.1038/ng1313
9 sg:pub.10.1038/ng585
10 sg:pub.10.1038/ng880
11 sg:pub.10.1038/nm.3891
12 sg:pub.10.1038/srep35487
13 https://doi.org/10.1016/j.bbalip.2008.12.014
14 https://doi.org/10.1016/j.bbrc.2015.02.147
15 https://doi.org/10.1016/j.biochi.2013.06.022
16 https://doi.org/10.1016/j.celrep.2016.10.037
17 https://doi.org/10.1016/j.cmet.2014.12.009
18 https://doi.org/10.1016/j.cmet.2017.12.002
19 https://doi.org/10.1016/j.cmet.2018.04.020
20 https://doi.org/10.1016/j.febslet.2006.03.040
21 https://doi.org/10.1016/j.molmet.2012.11.002
22 https://doi.org/10.1016/j.molmet.2014.12.013
23 https://doi.org/10.1016/j.molmet.2018.01.019
24 https://doi.org/10.1021/bi1013003
25 https://doi.org/10.1038/oby.2010.105
26 https://doi.org/10.1093/hmg/ddr205
27 https://doi.org/10.1093/hmg/ddu126
28 https://doi.org/10.1096/fj.201701427r
29 https://doi.org/10.1111/j.1399-0004.2004.00372.x
30 https://doi.org/10.1128/mcb.01120-15
31 https://doi.org/10.1128/mcb.06465-11
32 https://doi.org/10.1172/jci15001
33 https://doi.org/10.1172/jci38660
34 https://doi.org/10.1194/jlr.m060244
35 https://doi.org/10.1210/en.2009-0236
36 https://doi.org/10.1210/en.2014-1292
37 https://doi.org/10.1210/jc.2007-1328
38 https://doi.org/10.1210/jc.2011-1159
39 https://doi.org/10.1210/jc.2016-1005
40 https://doi.org/10.1210/jc.85.5.1776
41 https://doi.org/10.1210/jcem.85.7.6661
42 https://doi.org/10.1242/jeb.050989
43 https://doi.org/10.1371/journal.pone.0045790
44 https://doi.org/10.1371/journal.pone.0085876
45 https://doi.org/10.1677/joe-10-0272
46 https://doi.org/10.2337/db08-0184
47 https://doi.org/10.2337/db16-0733
48 schema:datePublished 2018-12
49 schema:datePublishedReg 2018-12-01
50 schema:description Mutations affecting the BSCL2 gene cause the most severe form of congenital generalised lipodystrophy. Affected individuals almost completely lack adipose tissue and suffer from severe diabetes and metabolic complications. Likewise, mice lacking Bscl2 in all tissues have dramatically reduced adipose mass, glucose intolerance and hyperinsulinaemia. However, male adipose tissue-specific Bscl2 knockout mice fail to develop the metabolic dysfunction observed in Bscl2 null mice and BSCL2 deficient patients, despite a similar generalised lack of adipose tissues. Clinical reports indicate gender differences frequently exist in cases of lipodystrophy, with female patients more adversely affected than male patients. We therefore generated and characterised female mice lacking Bscl2 specifically in adipose tissue (Ad-B2<sup>(-/-)</sup>). We show that female Ad-B2<sup>(-/-)</sup> mice also develop early-onset lipodystrophy when fed a chow diet and are maintained under standard housing conditions (21 °C) or thermoneutrality (30 °C). Despite this, female Ad-B2<sup>(-/-)</sup> mice fail to develop severe metabolic dysfunction. Only when female Ad-B2<sup>(-/-)</sup> mice are maintained at thermoneutrality and fed a high-fat diet do subtle alterations to metabolic homeostasis manifest. This is despite a striking inability to expand adipose mass. Our findings provide further evidence that loss of Bscl2 in non-adipose tissues may contribute to the severity of metabolic dysfunction in this condition.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N8b4d30d70af24aa0b86c371afe84f7bc
55 Nec9240f0d2604527816078c089662105
56 sg:journal.1045337
57 schema:name Female adipose tissue-specific Bscl2 knockout mice develop only moderate metabolic dysfunction when housed at thermoneutrality and fed a high-fat diet
58 schema:pagination 17863
59 schema:productId N26057789b09b4e1191bc3b89bfa7db0b
60 N4480698641044b86b0ec6c9a120036ab
61 N7c68e8d05c58410badb9144af87bf56d
62 Nb7e523b100aa40fab60c8af537210883
63 Ne82c1bdc8d14472f850d493f4c0f0098
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110510358
65 https://doi.org/10.1038/s41598-018-36078-9
66 schema:sdDatePublished 2019-04-11T13:17
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N310945696097482781190c191b2fb4da
69 schema:url https://www.nature.com/articles/s41598-018-36078-9
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N26057789b09b4e1191bc3b89bfa7db0b schema:name nlm_unique_id
74 schema:value 101563288
75 rdf:type schema:PropertyValue
76 N310945696097482781190c191b2fb4da schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N3a059d7157e8403e8724afb424628c10 rdf:first sg:person.01240532676.80
79 rdf:rest rdf:nil
80 N4480698641044b86b0ec6c9a120036ab schema:name doi
81 schema:value 10.1038/s41598-018-36078-9
82 rdf:type schema:PropertyValue
83 N760055af61234752a31b630841de4f49 rdf:first sg:person.01061755457.18
84 rdf:rest N9b26f36a940c4dd0bfb9ba723de97c25
85 N7c68e8d05c58410badb9144af87bf56d schema:name dimensions_id
86 schema:value pub.1110510358
87 rdf:type schema:PropertyValue
88 N88b6d210fede4d5ba0f2086a8d99b95e rdf:first sg:person.01301375657.27
89 rdf:rest N760055af61234752a31b630841de4f49
90 N8b4d30d70af24aa0b86c371afe84f7bc schema:volumeNumber 8
91 rdf:type schema:PublicationVolume
92 N91ac60eec4074af9b10e0e1476904cf6 rdf:first sg:person.01305522417.98
93 rdf:rest N88b6d210fede4d5ba0f2086a8d99b95e
94 N9b26f36a940c4dd0bfb9ba723de97c25 rdf:first sg:person.01270073503.50
95 rdf:rest N3a059d7157e8403e8724afb424628c10
96 Nb7e523b100aa40fab60c8af537210883 schema:name readcube_id
97 schema:value 033f03a263984a0d4d3463dd4b287bc97523cc844f195f7e7cec6c33ce3b6925
98 rdf:type schema:PropertyValue
99 Ne82c1bdc8d14472f850d493f4c0f0098 schema:name pubmed_id
100 schema:value 30552349
101 rdf:type schema:PropertyValue
102 Nec9240f0d2604527816078c089662105 schema:issueNumber 1
103 rdf:type schema:PublicationIssue
104 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
105 schema:name Medical and Health Sciences
106 rdf:type schema:DefinedTerm
107 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
108 schema:name Clinical Sciences
109 rdf:type schema:DefinedTerm
110 sg:grant.3560050 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36078-9
111 rdf:type schema:MonetaryGrant
112 sg:grant.3864068 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36078-9
113 rdf:type schema:MonetaryGrant
114 sg:grant.5072786 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36078-9
115 rdf:type schema:MonetaryGrant
116 sg:grant.5143486 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36078-9
117 rdf:type schema:MonetaryGrant
118 sg:grant.5143762 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36078-9
119 rdf:type schema:MonetaryGrant
120 sg:journal.1045337 schema:issn 2045-2322
121 schema:name Scientific Reports
122 rdf:type schema:Periodical
123 sg:person.01061755457.18 schema:affiliation https://www.grid.ac/institutes/grid.452254.0
124 schema:familyName Han
125 schema:givenName Weiping
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061755457.18
127 rdf:type schema:Person
128 sg:person.01240532676.80 schema:affiliation https://www.grid.ac/institutes/grid.7107.1
129 schema:familyName Rochford
130 schema:givenName Justin J.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240532676.80
132 rdf:type schema:Person
133 sg:person.01270073503.50 schema:affiliation https://www.grid.ac/institutes/grid.7107.1
134 schema:familyName Delibegović
135 schema:givenName Mirela
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270073503.50
137 rdf:type schema:Person
138 sg:person.01301375657.27 schema:affiliation https://www.grid.ac/institutes/grid.7107.1
139 schema:familyName Mitchell
140 schema:givenName Sharon E.
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301375657.27
142 rdf:type schema:Person
143 sg:person.01305522417.98 schema:affiliation https://www.grid.ac/institutes/grid.7107.1
144 schema:familyName Mcilroy
145 schema:givenName George D.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305522417.98
147 rdf:type schema:Person
148 sg:pub.10.1007/s00125-013-2926-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019956412
149 https://doi.org/10.1007/s00125-013-2926-9
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s00125-013-3029-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013992360
152 https://doi.org/10.1007/s00125-013-3029-3
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s00429-015-1151-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007747088
155 https://doi.org/10.1007/s00429-015-1151-3
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/s11745-016-4210-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025745342
158 https://doi.org/10.1007/s11745-016-4210-5
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/ng1313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030810886
161 https://doi.org/10.1038/ng1313
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/ng585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008476740
164 https://doi.org/10.1038/ng585
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/ng880 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007676747
167 https://doi.org/10.1038/ng880
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/nm.3891 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052082621
170 https://doi.org/10.1038/nm.3891
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/srep35487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024908528
173 https://doi.org/10.1038/srep35487
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.bbalip.2008.12.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017892723
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.bbrc.2015.02.147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053308518
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.biochi.2013.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049584780
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.celrep.2016.10.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002248210
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.cmet.2014.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025234558
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.cmet.2017.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100274186
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.cmet.2018.04.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104214876
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.febslet.2006.03.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021042241
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.molmet.2012.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001027960
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.molmet.2014.12.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019929909
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.molmet.2018.01.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100755825
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1021/bi1013003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055203583
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1038/oby.2010.105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038088710
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1093/hmg/ddr205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048073579
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1093/hmg/ddu126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010109726
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1096/fj.201701427r schema:sameAs https://app.dimensions.ai/details/publication/pub.1103877775
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1111/j.1399-0004.2004.00372.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042498574
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1128/mcb.01120-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014385864
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1128/mcb.06465-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020358858
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1172/jci15001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063415322
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1172/jci38660 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052222542
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1194/jlr.m060244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019874023
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1210/en.2009-0236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064249947
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1210/en.2014-1292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064252383
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1210/jc.2007-1328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064290119
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1210/jc.2011-1159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064292861
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1210/jc.2016-1005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015900162
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1210/jc.85.5.1776 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064301380
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1210/jcem.85.7.6661 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064323593
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1242/jeb.050989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016643955
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1371/journal.pone.0045790 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048202978
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1371/journal.pone.0085876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050212936
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1677/joe-10-0272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046958112
240 rdf:type schema:CreativeWork
241 https://doi.org/10.2337/db08-0184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031721741
242 rdf:type schema:CreativeWork
243 https://doi.org/10.2337/db16-0733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070729953
244 rdf:type schema:CreativeWork
245 https://www.grid.ac/institutes/grid.452254.0 schema:alternateName Singapore Bioimaging Consortium
246 schema:name Laboratory of Metabolic Medicine, Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
247 rdf:type schema:Organization
248 https://www.grid.ac/institutes/grid.7107.1 schema:alternateName University of Aberdeen
249 schema:name Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
250 Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
251 The Rowett Institute, University of Aberdeen, Aberdeen, UK
252 rdf:type schema:Organization
 




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


...