Leptin upregulation in advanced multiple system atrophy with hypocholesterolemia and unexpected fat accumulation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-08

AUTHORS

Utako Nagaoka, Toshio Shimizu, Toshiki Uchihara

ABSTRACT

Advanced multiple system atrophy (MSA) patients exhibit malnutrition with hypocholesterolemia and hypoalbuminemia, similar to patients with other neurodegenerative disorders, but also display unexpected fat accumulation. To understand this paradox, we herein examined the relationship between fat accumulation, measured by triceps skinfold thickness (TSF), and plasma leptin in 29 MSA patients at three clinical stages: activities of daily living (ADL) 1: ambulatory with/without wheelchair; ADL2: bedridden/communicable; and ADL3: bedridden/non-communicable. TSF and leptin were higher while cholesterol and albumin were lower in advanced stage ADL3 than in ADL1 or ADL2. Although a correlation was observed between leptin and TSF, a stepwise regression analysis identified the first significant positive predictor of leptin as the duration of autonomic symptoms (p < 0.005) rather than TSF. Leptin/TSF strongly correlated with the duration of autonomic symptoms (p < 0.001). These results implicate leptin resistance through autonomic dysfunction in the paradoxical fat accumulation observed in patients with advanced MSA, but not to be seen in the cholesterol metabolism. More... »

PAGES

1471-1477

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10072-015-2189-y

DOI

http://dx.doi.org/10.1007/s10072-015-2189-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016345517

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25809571


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adiponectin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anthropometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cholesterol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fatty Acids", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Leptin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Multiple System Atrophy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Regression Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Statistics, Nonparametric", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Up-Regulation", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan Neurological Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417106.5", 
          "name": [
            "Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, 183-0042, Fuchu, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagaoka", 
        "givenName": "Utako", 
        "id": "sg:person.01207267751.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207267751.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan Neurological Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417106.5", 
          "name": [
            "Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, 183-0042, Fuchu, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimizu", 
        "givenName": "Toshio", 
        "id": "sg:person.015551645122.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015551645122.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan Institute of Medical Science", 
          "id": "https://www.grid.ac/institutes/grid.272456.0", 
          "name": [
            "Laboratory of Structural Neuropathology, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uchihara", 
        "givenName": "Toshiki", 
        "id": "sg:person.01022207674.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022207674.34"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.peptides.2010.03.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008673510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mds.23320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009141846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00401-006-0150-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011199338", 
          "https://doi.org/10.1007/s00401-006-0150-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00401-006-0150-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011199338", 
          "https://doi.org/10.1007/s00401-006-0150-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ana.21465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011891928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2013/204164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016918943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017966805", 
          "https://doi.org/10.1038/nature09564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jns.2014.09.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022048969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mce.2009.08.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023168566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-1241.2010.02536.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023812943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-1241.2010.02536.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023812943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/thy.11.57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026215512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5692/clinicalneurol.50.141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033030346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0024633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034386087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/awl109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038464599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1373/clinchem.2004.032482", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041567070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.2336-11.2011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042530698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2013.02.062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043108439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-4598(199703)20:3<330::aid-mus10>3.0.co;2-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044979756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/awf117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045299406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/adip.20690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047231915"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0038682", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052819483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mco.0b013e328312c37d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052920009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mco.0b013e328312c37d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052920009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/117.4.835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059439343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/01.wnl.0000324625.00404.15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064350483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/01.wnl.0000324625.00404.15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064350483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/01.wnl.0000324625.00404.15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064350483"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-08", 
    "datePublishedReg": "2015-08-01", 
    "description": "Advanced multiple system atrophy (MSA) patients exhibit malnutrition with hypocholesterolemia and hypoalbuminemia, similar to patients with other neurodegenerative disorders, but also display unexpected fat accumulation. To understand this paradox, we herein examined the relationship between fat accumulation, measured by triceps skinfold thickness (TSF), and plasma leptin in 29 MSA patients at three clinical stages: activities of daily living (ADL) 1: ambulatory with/without wheelchair; ADL2: bedridden/communicable; and ADL3: bedridden/non-communicable. TSF and leptin were higher while cholesterol and albumin were lower in advanced stage ADL3 than in ADL1 or ADL2. Although a correlation was observed between leptin and TSF, a stepwise regression analysis identified the first significant positive predictor of leptin as the duration of autonomic symptoms (p < 0.005) rather than TSF. Leptin/TSF strongly correlated with the duration of autonomic symptoms (p < 0.001). These results implicate leptin resistance through autonomic dysfunction in the paradoxical fat accumulation observed in patients with advanced MSA, but not to be seen in the cholesterol metabolism.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10072-015-2189-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6108116", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1294956", 
        "issn": [
          "1590-1874", 
          "1126-5442"
        ], 
        "name": "Neurological Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "36"
      }
    ], 
    "name": "Leptin upregulation in advanced multiple system atrophy with hypocholesterolemia and unexpected fat accumulation", 
    "pagination": "1471-1477", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4de1ad85bcd10b01c4463abcd7fa189ef210eef3fa67dee8fb46779cfad577d7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25809571"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100959175"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10072-015-2189-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016345517"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10072-015-2189-y", 
      "https://app.dimensions.ai/details/publication/pub.1016345517"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:50", 
    "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/v90/0000000001_0000000264/records_8684_00000531.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10072-015-2189-y"
  }
]
 

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.10.1007/s10072-015-2189-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10072-015-2189-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10072-015-2189-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10072-015-2189-y'


 

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

227 TRIPLES      21 PREDICATES      69 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10072-015-2189-y schema:about N09bd4ff20c9d4a14be2949ad95317bac
2 N09c97c8078a5413aa7140516c7b3cd57
3 N25957d9e15c64351b54e252c5838bd1b
4 N2a678fd1226943f3998d7645dfcc5a52
5 N3c8166d1b8654727aa3be44b24c7df5b
6 N4c5f1c2c54a14c9db0bf27d0397b2dc2
7 N54d19a4507cb48578f9334a2d830ab4d
8 N6791a35ce71c4fed823ba61a34899855
9 N9c435e244f2c421bb905ddb49a05fabe
10 Na93a12c81c2b4ee289dcb1b60221875a
11 Na975eb1795e74247a92a25093db5485f
12 Nbe427fda348142d190c1b1336800c4cc
13 Nd6422fac7cb64e5db1f58a4d910be641
14 Nea42f979ecac46b7be10b1f3449ce281
15 Ned3d389c0bd74f31a1351bcaaff48aaf
16 Nf66bbe7ea3fc478c93062c20b1f6d0d9
17 Nfd885598d0d84198a377b63a85b863eb
18 anzsrc-for:11
19 anzsrc-for:1103
20 schema:author Nbbeb674e161649828b787b1a1ae2984d
21 schema:citation sg:pub.10.1007/s00401-006-0150-0
22 sg:pub.10.1038/nature09564
23 https://doi.org/10.1002/(sici)1097-4598(199703)20:3<330::aid-mus10>3.0.co;2-4
24 https://doi.org/10.1002/ana.21465
25 https://doi.org/10.1002/mds.23320
26 https://doi.org/10.1016/j.jns.2014.09.045
27 https://doi.org/10.1016/j.mce.2009.08.031
28 https://doi.org/10.1016/j.neuroscience.2013.02.062
29 https://doi.org/10.1016/j.peptides.2010.03.023
30 https://doi.org/10.1093/brain/117.4.835
31 https://doi.org/10.1093/brain/awf117
32 https://doi.org/10.1093/brain/awl109
33 https://doi.org/10.1097/mco.0b013e328312c37d
34 https://doi.org/10.1111/j.1742-1241.2010.02536.x
35 https://doi.org/10.1155/2013/204164
36 https://doi.org/10.1212/01.wnl.0000324625.00404.15
37 https://doi.org/10.1371/journal.pone.0024633
38 https://doi.org/10.1371/journal.pone.0038682
39 https://doi.org/10.1373/clinchem.2004.032482
40 https://doi.org/10.1523/jneurosci.2336-11.2011
41 https://doi.org/10.2217/thy.11.57
42 https://doi.org/10.4161/adip.20690
43 https://doi.org/10.5692/clinicalneurol.50.141
44 schema:datePublished 2015-08
45 schema:datePublishedReg 2015-08-01
46 schema:description Advanced multiple system atrophy (MSA) patients exhibit malnutrition with hypocholesterolemia and hypoalbuminemia, similar to patients with other neurodegenerative disorders, but also display unexpected fat accumulation. To understand this paradox, we herein examined the relationship between fat accumulation, measured by triceps skinfold thickness (TSF), and plasma leptin in 29 MSA patients at three clinical stages: activities of daily living (ADL) 1: ambulatory with/without wheelchair; ADL2: bedridden/communicable; and ADL3: bedridden/non-communicable. TSF and leptin were higher while cholesterol and albumin were lower in advanced stage ADL3 than in ADL1 or ADL2. Although a correlation was observed between leptin and TSF, a stepwise regression analysis identified the first significant positive predictor of leptin as the duration of autonomic symptoms (p < 0.005) rather than TSF. Leptin/TSF strongly correlated with the duration of autonomic symptoms (p < 0.001). These results implicate leptin resistance through autonomic dysfunction in the paradoxical fat accumulation observed in patients with advanced MSA, but not to be seen in the cholesterol metabolism.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree false
50 schema:isPartOf N7afbe14c704b489fb495e801e57a8781
51 Nb16c3756204441c8a92e2a7e65f7cd3a
52 sg:journal.1294956
53 schema:name Leptin upregulation in advanced multiple system atrophy with hypocholesterolemia and unexpected fat accumulation
54 schema:pagination 1471-1477
55 schema:productId N1edef28d04cd48c499f90312fb102ee8
56 N20b27012821d406c9a6e4ac0abd5136e
57 N2f22d5d5fadc40cb8d70dea165d4aa0d
58 N4ee7022c25854ab39795709c47a44883
59 N58cc6bdfb1ea43a281e8dedff4c96745
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016345517
61 https://doi.org/10.1007/s10072-015-2189-y
62 schema:sdDatePublished 2019-04-10T20:50
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N6d8a2291e9134f2b979efa58900c722c
65 schema:url http://link.springer.com/10.1007%2Fs10072-015-2189-y
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N08ce2c285d124511a3bb334f531e7b0f rdf:first sg:person.015551645122.03
70 rdf:rest N859ea24a9d6b47f69acb9db10970076a
71 N09bd4ff20c9d4a14be2949ad95317bac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Adult
73 rdf:type schema:DefinedTerm
74 N09c97c8078a5413aa7140516c7b3cd57 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Humans
76 rdf:type schema:DefinedTerm
77 N1edef28d04cd48c499f90312fb102ee8 schema:name readcube_id
78 schema:value 4de1ad85bcd10b01c4463abcd7fa189ef210eef3fa67dee8fb46779cfad577d7
79 rdf:type schema:PropertyValue
80 N20b27012821d406c9a6e4ac0abd5136e schema:name dimensions_id
81 schema:value pub.1016345517
82 rdf:type schema:PropertyValue
83 N25957d9e15c64351b54e252c5838bd1b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Body Mass Index
85 rdf:type schema:DefinedTerm
86 N2a678fd1226943f3998d7645dfcc5a52 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Anthropometry
88 rdf:type schema:DefinedTerm
89 N2f22d5d5fadc40cb8d70dea165d4aa0d schema:name doi
90 schema:value 10.1007/s10072-015-2189-y
91 rdf:type schema:PropertyValue
92 N3c8166d1b8654727aa3be44b24c7df5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Cholesterol
94 rdf:type schema:DefinedTerm
95 N4c5f1c2c54a14c9db0bf27d0397b2dc2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Multiple System Atrophy
97 rdf:type schema:DefinedTerm
98 N4ee7022c25854ab39795709c47a44883 schema:name pubmed_id
99 schema:value 25809571
100 rdf:type schema:PropertyValue
101 N54d19a4507cb48578f9334a2d830ab4d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Aged
103 rdf:type schema:DefinedTerm
104 N58cc6bdfb1ea43a281e8dedff4c96745 schema:name nlm_unique_id
105 schema:value 100959175
106 rdf:type schema:PropertyValue
107 N6791a35ce71c4fed823ba61a34899855 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Statistics, Nonparametric
109 rdf:type schema:DefinedTerm
110 N6d8a2291e9134f2b979efa58900c722c schema:name Springer Nature - SN SciGraph project
111 rdf:type schema:Organization
112 N7afbe14c704b489fb495e801e57a8781 schema:volumeNumber 36
113 rdf:type schema:PublicationVolume
114 N859ea24a9d6b47f69acb9db10970076a rdf:first sg:person.01022207674.34
115 rdf:rest rdf:nil
116 N9c435e244f2c421bb905ddb49a05fabe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Up-Regulation
118 rdf:type schema:DefinedTerm
119 Na93a12c81c2b4ee289dcb1b60221875a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Regression Analysis
121 rdf:type schema:DefinedTerm
122 Na975eb1795e74247a92a25093db5485f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Fatty Acids
124 rdf:type schema:DefinedTerm
125 Nb16c3756204441c8a92e2a7e65f7cd3a schema:issueNumber 8
126 rdf:type schema:PublicationIssue
127 Nbbeb674e161649828b787b1a1ae2984d rdf:first sg:person.01207267751.00
128 rdf:rest N08ce2c285d124511a3bb334f531e7b0f
129 Nbe427fda348142d190c1b1336800c4cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Adiponectin
131 rdf:type schema:DefinedTerm
132 Nd6422fac7cb64e5db1f58a4d910be641 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Female
134 rdf:type schema:DefinedTerm
135 Nea42f979ecac46b7be10b1f3449ce281 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Male
137 rdf:type schema:DefinedTerm
138 Ned3d389c0bd74f31a1351bcaaff48aaf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Leptin
140 rdf:type schema:DefinedTerm
141 Nf66bbe7ea3fc478c93062c20b1f6d0d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Middle Aged
143 rdf:type schema:DefinedTerm
144 Nfd885598d0d84198a377b63a85b863eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Retrospective Studies
146 rdf:type schema:DefinedTerm
147 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
148 schema:name Medical and Health Sciences
149 rdf:type schema:DefinedTerm
150 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
151 schema:name Clinical Sciences
152 rdf:type schema:DefinedTerm
153 sg:grant.6108116 http://pending.schema.org/fundedItem sg:pub.10.1007/s10072-015-2189-y
154 rdf:type schema:MonetaryGrant
155 sg:journal.1294956 schema:issn 1126-5442
156 1590-1874
157 schema:name Neurological Sciences
158 rdf:type schema:Periodical
159 sg:person.01022207674.34 schema:affiliation https://www.grid.ac/institutes/grid.272456.0
160 schema:familyName Uchihara
161 schema:givenName Toshiki
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022207674.34
163 rdf:type schema:Person
164 sg:person.01207267751.00 schema:affiliation https://www.grid.ac/institutes/grid.417106.5
165 schema:familyName Nagaoka
166 schema:givenName Utako
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207267751.00
168 rdf:type schema:Person
169 sg:person.015551645122.03 schema:affiliation https://www.grid.ac/institutes/grid.417106.5
170 schema:familyName Shimizu
171 schema:givenName Toshio
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015551645122.03
173 rdf:type schema:Person
174 sg:pub.10.1007/s00401-006-0150-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011199338
175 https://doi.org/10.1007/s00401-006-0150-0
176 rdf:type schema:CreativeWork
177 sg:pub.10.1038/nature09564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017966805
178 https://doi.org/10.1038/nature09564
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1002/(sici)1097-4598(199703)20:3<330::aid-mus10>3.0.co;2-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044979756
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1002/ana.21465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011891928
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1002/mds.23320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009141846
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.jns.2014.09.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022048969
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.mce.2009.08.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023168566
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.neuroscience.2013.02.062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043108439
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.peptides.2010.03.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008673510
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1093/brain/117.4.835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059439343
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1093/brain/awf117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045299406
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1093/brain/awl109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038464599
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1097/mco.0b013e328312c37d schema:sameAs https://app.dimensions.ai/details/publication/pub.1052920009
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1111/j.1742-1241.2010.02536.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023812943
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1155/2013/204164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016918943
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1212/01.wnl.0000324625.00404.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064350483
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1371/journal.pone.0024633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034386087
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1371/journal.pone.0038682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052819483
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1373/clinchem.2004.032482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041567070
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1523/jneurosci.2336-11.2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042530698
215 rdf:type schema:CreativeWork
216 https://doi.org/10.2217/thy.11.57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026215512
217 rdf:type schema:CreativeWork
218 https://doi.org/10.4161/adip.20690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047231915
219 rdf:type schema:CreativeWork
220 https://doi.org/10.5692/clinicalneurol.50.141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033030346
221 rdf:type schema:CreativeWork
222 https://www.grid.ac/institutes/grid.272456.0 schema:alternateName Tokyo Metropolitan Institute of Medical Science
223 schema:name Laboratory of Structural Neuropathology, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
224 rdf:type schema:Organization
225 https://www.grid.ac/institutes/grid.417106.5 schema:alternateName Tokyo Metropolitan Neurological Hospital
226 schema:name Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, 183-0042, Fuchu, Tokyo, Japan
227 rdf:type schema:Organization
 




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


...