Phenotypic heterogeneity of latent autoimmune diabetes in adults identified by body composition analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Giovanni Mario Pes, Alessandro Palmerio Delitala, Giuseppe Delitala, Alessandra Errigo, Salvatore Costantino, Giuseppe Fanciulli

ABSTRACT

BACKGROUND: In patients with Latent Autoimmune Diabetes in Adults (LADA) a lower body mass index was reported compared with classical type 2 diabetes (T2D), and was found to be associated with a faster progression to insulin-dependence. In this study we determined the body composition in a cohort of LADA patients from Sardinia, Italy, and compared it with age- and gender-matched patients diagnosed as having adult-onset type 1 diabetes (T1D) and non-autoimmune T2D. METHODS: In 210 LADA patients, 210 T2D patients and 30 adult-onset T1D patients of Sardinian origin we assessed total and segmental body composition (weight-adjusted percent fat mass and lean mass) by using Dual Energy X-rays Absorptiometry (DXA). RESULTS: In the whole cohort of LADA patients total fat mass was significantly smaller compared with T2D patients (p < 0.0001), while no difference was found between LADA and T1D patients. In LADA men fat depletion involved all body segments, while in LADA women it was observed only in the truncal segment (p < 0.0001), as in the upper and lower regions fat deposits were larger compared to T2D (p < 0.0001). However, LADA women showed a significantly elevated truncal fat compared to T1D women (p < 0.004), whereas no difference was detected in the extremities. CONCLUSIONS: Body composition in LADA patients shows substantial difference, in a gender-dependent way, compared to classic T2D. In women fat deposits tend to accumulate in peripheral regions rather than centrally, whereas in men the distribution is more homogeneous. In addition, central fat depletion in LADA women appears to be a significant predictor of faster progression to insulin dependence. Thus, routine assessment of body composition may help the physician identify LADA patients who require early insulin treatment in order to delay beta-cell exhaustion, as well those with increased CV risk due to excess truncal adiposity. More... »

PAGES

128

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1758-5996-6-128

DOI

http://dx.doi.org/10.1186/1758-5996-6-128

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045390080

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25960773


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 Sassari", 
          "id": "https://www.grid.ac/institutes/grid.11450.31", 
          "name": [
            "Department of Clinical and Experimental Medicine, University of Sassari, Viale San Pietro 8, I-07100, Sassari, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pes", 
        "givenName": "Giovanni Mario", 
        "id": "sg:person.01015325442.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015325442.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sassari", 
          "id": "https://www.grid.ac/institutes/grid.11450.31", 
          "name": [
            "Department of Clinical and Experimental Medicine, University of Sassari, Viale San Pietro 8, I-07100, Sassari, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Delitala", 
        "givenName": "Alessandro Palmerio", 
        "id": "sg:person.0716750073.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716750073.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sassari", 
          "id": "https://www.grid.ac/institutes/grid.11450.31", 
          "name": [
            "Department of Clinical and Experimental Medicine, University of Sassari, Viale San Pietro 8, I-07100, Sassari, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Delitala", 
        "givenName": "Giuseppe", 
        "id": "sg:person.01371224222.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371224222.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sassari", 
          "id": "https://www.grid.ac/institutes/grid.11450.31", 
          "name": [
            "Department of Clinical and Experimental Medicine, University of Sassari, Viale San Pietro 8, I-07100, Sassari, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Errigo", 
        "givenName": "Alessandra", 
        "id": "sg:person.01061404454.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061404454.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sassari", 
          "id": "https://www.grid.ac/institutes/grid.11450.31", 
          "name": [
            "Department of Clinical and Experimental Medicine, University of Sassari, Viale San Pietro 8, I-07100, Sassari, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Costantino", 
        "givenName": "Salvatore", 
        "id": "sg:person.0644544172.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644544172.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sassari", 
          "id": "https://www.grid.ac/institutes/grid.11450.31", 
          "name": [
            "Department of Clinical and Experimental Medicine, University of Sassari, Viale San Pietro 8, I-07100, Sassari, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fanciulli", 
        "givenName": "Giuseppe", 
        "id": "sg:person.01024320622.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024320622.30"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ijcard.2013.08.077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003458078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001250100602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008359946", 
          "https://doi.org/10.1007/s001250100602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001250100602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008359946", 
          "https://doi.org/10.1007/s001250100602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc08-1419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029718154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-5491.1994.tb00275.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031089790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-5491.1994.tb00275.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031089790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-1954-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032072655", 
          "https://doi.org/10.1007/s00125-005-1954-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-1954-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032072655", 
          "https://doi.org/10.1007/s00125-005-1954-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-1954-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032072655", 
          "https://doi.org/10.1007/s00125-005-1954-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1096-8644(200011)113:3<381::aid-ajpa8>3.0.co;2-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037685863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.53.12.3193", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039749524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/eje-10-0427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045404380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc11-s062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049347111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.22.8.1347", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070748879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/51.6.1106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078704198"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: In patients with Latent Autoimmune Diabetes in Adults (LADA) a lower body mass index was reported compared with classical type 2 diabetes (T2D), and was found to be associated with a faster progression to insulin-dependence. In this study we determined the body composition in a cohort of LADA patients from Sardinia, Italy, and compared it with age- and gender-matched patients diagnosed as having adult-onset type 1 diabetes (T1D) and non-autoimmune T2D.\nMETHODS: In 210 LADA patients, 210 T2D patients and 30 adult-onset T1D patients of Sardinian origin we assessed total and segmental body composition (weight-adjusted percent fat mass and lean mass) by using Dual Energy X-rays Absorptiometry (DXA).\nRESULTS: In the whole cohort of LADA patients total fat mass was significantly smaller compared with T2D patients (p\u2009<\u20090.0001), while no difference was found between LADA and T1D patients. In LADA men fat depletion involved all body segments, while in LADA women it was observed only in the truncal segment (p\u2009<\u20090.0001), as in the upper and lower regions fat deposits were larger compared to T2D (p\u2009<\u20090.0001). However, LADA women showed a significantly elevated truncal fat compared to T1D women (p\u2009<\u20090.004), whereas no difference was detected in the extremities.\nCONCLUSIONS: Body composition in LADA patients shows substantial difference, in a gender-dependent way, compared to classic T2D. In women fat deposits tend to accumulate in peripheral regions rather than centrally, whereas in men the distribution is more homogeneous. In addition, central fat depletion in LADA women appears to be a significant predictor of faster progression to insulin dependence. Thus, routine assessment of body composition may help the physician identify LADA patients who require early insulin treatment in order to delay beta-cell exhaustion, as well those with increased CV risk due to excess truncal adiposity.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1758-5996-6-128", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1040785", 
        "issn": [
          "1758-5996"
        ], 
        "name": "Diabetology & Metabolic Syndrome", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Phenotypic heterogeneity of latent autoimmune diabetes in adults identified by body composition analysis", 
    "pagination": "128", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d83668b860a45b321a60fa6c7e129b4d0d497b85c8b0a376b82d1ce4641a8c55"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25960773"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101488958"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1758-5996-6-128"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045390080"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1758-5996-6-128", 
      "https://app.dimensions.ai/details/publication/pub.1045390080"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:17", 
    "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/v90/0000000001_0000000264/records_8695_00000515.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1758-5996-6-128"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1758-5996-6-128'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1758-5996-6-128'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1758-5996-6-128'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1758-5996-6-128'


 

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

138 TRIPLES      21 PREDICATES      40 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1758-5996-6-128 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N626ae60265444bd3bd38e29c2c007573
4 schema:citation sg:pub.10.1007/s00125-005-1954-5
5 sg:pub.10.1007/s001250100602
6 https://doi.org/10.1002/1096-8644(200011)113:3<381::aid-ajpa8>3.0.co;2-t
7 https://doi.org/10.1016/j.ijcard.2013.08.077
8 https://doi.org/10.1093/ajcn/51.6.1106
9 https://doi.org/10.1111/j.1464-5491.1994.tb00275.x
10 https://doi.org/10.1530/eje-10-0427
11 https://doi.org/10.2337/dc08-1419
12 https://doi.org/10.2337/dc11-s062
13 https://doi.org/10.2337/diabetes.53.12.3193
14 https://doi.org/10.2337/diacare.22.8.1347
15 schema:datePublished 2014-12
16 schema:datePublishedReg 2014-12-01
17 schema:description BACKGROUND: In patients with Latent Autoimmune Diabetes in Adults (LADA) a lower body mass index was reported compared with classical type 2 diabetes (T2D), and was found to be associated with a faster progression to insulin-dependence. In this study we determined the body composition in a cohort of LADA patients from Sardinia, Italy, and compared it with age- and gender-matched patients diagnosed as having adult-onset type 1 diabetes (T1D) and non-autoimmune T2D. METHODS: In 210 LADA patients, 210 T2D patients and 30 adult-onset T1D patients of Sardinian origin we assessed total and segmental body composition (weight-adjusted percent fat mass and lean mass) by using Dual Energy X-rays Absorptiometry (DXA). RESULTS: In the whole cohort of LADA patients total fat mass was significantly smaller compared with T2D patients (p < 0.0001), while no difference was found between LADA and T1D patients. In LADA men fat depletion involved all body segments, while in LADA women it was observed only in the truncal segment (p < 0.0001), as in the upper and lower regions fat deposits were larger compared to T2D (p < 0.0001). However, LADA women showed a significantly elevated truncal fat compared to T1D women (p < 0.004), whereas no difference was detected in the extremities. CONCLUSIONS: Body composition in LADA patients shows substantial difference, in a gender-dependent way, compared to classic T2D. In women fat deposits tend to accumulate in peripheral regions rather than centrally, whereas in men the distribution is more homogeneous. In addition, central fat depletion in LADA women appears to be a significant predictor of faster progression to insulin dependence. Thus, routine assessment of body composition may help the physician identify LADA patients who require early insulin treatment in order to delay beta-cell exhaustion, as well those with increased CV risk due to excess truncal adiposity.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf N4bf8349a8046449c80aaf1881cdc3938
22 N9a90901c2c6f43dfa0fad9d853349411
23 sg:journal.1040785
24 schema:name Phenotypic heterogeneity of latent autoimmune diabetes in adults identified by body composition analysis
25 schema:pagination 128
26 schema:productId N135a9f9e155c4637af5e0f5d73a4b39a
27 N622ff50111d048878a1a196fd9e36f28
28 N8b6baa6cd26a4cdb90d15aa08d8d2b9d
29 Nc29a063cc5734c86a8baf78a343bab6f
30 Ne61cead19e9d4aa587502d8a02337f09
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045390080
32 https://doi.org/10.1186/1758-5996-6-128
33 schema:sdDatePublished 2019-04-11T00:17
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N36371a068a6b481f922af8a07dbae52f
36 schema:url http://link.springer.com/10.1186%2F1758-5996-6-128
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N135a9f9e155c4637af5e0f5d73a4b39a schema:name readcube_id
41 schema:value d83668b860a45b321a60fa6c7e129b4d0d497b85c8b0a376b82d1ce4641a8c55
42 rdf:type schema:PropertyValue
43 N30ddbe80635046e28fb44d66d2802aa9 rdf:first sg:person.01371224222.07
44 rdf:rest Nff5b912d0ec845e0939d11ad53d0853b
45 N36371a068a6b481f922af8a07dbae52f schema:name Springer Nature - SN SciGraph project
46 rdf:type schema:Organization
47 N48ca250541944c64ae5d739c892b7f94 rdf:first sg:person.0716750073.17
48 rdf:rest N30ddbe80635046e28fb44d66d2802aa9
49 N4bf8349a8046449c80aaf1881cdc3938 schema:volumeNumber 6
50 rdf:type schema:PublicationVolume
51 N622ff50111d048878a1a196fd9e36f28 schema:name doi
52 schema:value 10.1186/1758-5996-6-128
53 rdf:type schema:PropertyValue
54 N626ae60265444bd3bd38e29c2c007573 rdf:first sg:person.01015325442.45
55 rdf:rest N48ca250541944c64ae5d739c892b7f94
56 N8b6baa6cd26a4cdb90d15aa08d8d2b9d schema:name nlm_unique_id
57 schema:value 101488958
58 rdf:type schema:PropertyValue
59 N9a90901c2c6f43dfa0fad9d853349411 schema:issueNumber 1
60 rdf:type schema:PublicationIssue
61 Nba720c3cea474431b43add22af61d578 rdf:first sg:person.01024320622.30
62 rdf:rest rdf:nil
63 Nc29a063cc5734c86a8baf78a343bab6f schema:name pubmed_id
64 schema:value 25960773
65 rdf:type schema:PropertyValue
66 Ne61cead19e9d4aa587502d8a02337f09 schema:name dimensions_id
67 schema:value pub.1045390080
68 rdf:type schema:PropertyValue
69 Nf2abd96b708b4c97a848ddef8f8e868e rdf:first sg:person.0644544172.72
70 rdf:rest Nba720c3cea474431b43add22af61d578
71 Nff5b912d0ec845e0939d11ad53d0853b rdf:first sg:person.01061404454.53
72 rdf:rest Nf2abd96b708b4c97a848ddef8f8e868e
73 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
74 schema:name Medical and Health Sciences
75 rdf:type schema:DefinedTerm
76 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
77 schema:name Clinical Sciences
78 rdf:type schema:DefinedTerm
79 sg:journal.1040785 schema:issn 1758-5996
80 schema:name Diabetology & Metabolic Syndrome
81 rdf:type schema:Periodical
82 sg:person.01015325442.45 schema:affiliation https://www.grid.ac/institutes/grid.11450.31
83 schema:familyName Pes
84 schema:givenName Giovanni Mario
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015325442.45
86 rdf:type schema:Person
87 sg:person.01024320622.30 schema:affiliation https://www.grid.ac/institutes/grid.11450.31
88 schema:familyName Fanciulli
89 schema:givenName Giuseppe
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024320622.30
91 rdf:type schema:Person
92 sg:person.01061404454.53 schema:affiliation https://www.grid.ac/institutes/grid.11450.31
93 schema:familyName Errigo
94 schema:givenName Alessandra
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061404454.53
96 rdf:type schema:Person
97 sg:person.01371224222.07 schema:affiliation https://www.grid.ac/institutes/grid.11450.31
98 schema:familyName Delitala
99 schema:givenName Giuseppe
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371224222.07
101 rdf:type schema:Person
102 sg:person.0644544172.72 schema:affiliation https://www.grid.ac/institutes/grid.11450.31
103 schema:familyName Costantino
104 schema:givenName Salvatore
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644544172.72
106 rdf:type schema:Person
107 sg:person.0716750073.17 schema:affiliation https://www.grid.ac/institutes/grid.11450.31
108 schema:familyName Delitala
109 schema:givenName Alessandro Palmerio
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716750073.17
111 rdf:type schema:Person
112 sg:pub.10.1007/s00125-005-1954-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032072655
113 https://doi.org/10.1007/s00125-005-1954-5
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/s001250100602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008359946
116 https://doi.org/10.1007/s001250100602
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1002/1096-8644(200011)113:3<381::aid-ajpa8>3.0.co;2-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1037685863
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.ijcard.2013.08.077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003458078
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1093/ajcn/51.6.1106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078704198
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1111/j.1464-5491.1994.tb00275.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031089790
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1530/eje-10-0427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045404380
127 rdf:type schema:CreativeWork
128 https://doi.org/10.2337/dc08-1419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029718154
129 rdf:type schema:CreativeWork
130 https://doi.org/10.2337/dc11-s062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049347111
131 rdf:type schema:CreativeWork
132 https://doi.org/10.2337/diabetes.53.12.3193 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039749524
133 rdf:type schema:CreativeWork
134 https://doi.org/10.2337/diacare.22.8.1347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070748879
135 rdf:type schema:CreativeWork
136 https://www.grid.ac/institutes/grid.11450.31 schema:alternateName University of Sassari
137 schema:name Department of Clinical and Experimental Medicine, University of Sassari, Viale San Pietro 8, I-07100, Sassari, Italy
138 rdf:type schema:Organization
 




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


...