Islet cell and insulin autoantibodies in organ-specific autoimmune patients. Their behaviour and predictive value for the development of Type 1 ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1987-05

AUTHORS

C. Betterle, F. Presotto, B. Pedini, L. Moro, R. S. Slack, F. Zanette, R. Zanchetta

ABSTRACT

To evaluate the behaviour and predictive value of islet cell and insulin autoantibodies in patients with organ-specific autoimmune diseases, we followed 21 non-diabetic subjects for a mean period of 84 +/- 27 months. Ten patients were persistently seropositive for complement-fixing islet cell antibodies and high titres of immunoglobulin G islet cell antibodies (greater than or equal to 1:8). The prevalence of persistent insulin autoantibodies in this group was 67%. Seven patients (70%) developed Type 1 (insulin-dependent) diabetes mellitus after a latency period of 2-60 months. The predictive value of complement-fixing islet cell antibodies was 65%, and in the presence of both complement-fixing islet cell and insulin autoantibodies the predictive value rose to 76%. Eleven patients were seronegative for complement-fixing islet cell antibodies and had low immunoglobulin G islet cell antibodies titres (less than 1:8) that were either persistent or transient, or that fluctuated during follow-up. The prevalence of persistent insulin autoantibodies in this group was 45%; only one subject developed Type 1 diabetes. The predictive value of persistent islet cell antibodies (complement-fixing positive/negative) was 54%, and it rose to 70% when both islet cell and insulin autoantibodies were present. Individuals with only insulin autoantibodies or immunoglobulin G islet cell antibodies did not develop diabetes mellitus. A high frequency of HLA-DR3 and/or DR4 was found in patients who developed diabetes mellitus. Thus, the presence of both islet cell and insulin autoantibodies in patients with organ-specific autoimmune disease appears to confer the highest risk of progression toward Type 1 diabetes. More... »

PAGES

292-297

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00299020

DOI

http://dx.doi.org/10.1007/bf00299020

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050342703

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/3301480


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": "Adolescent", 
        "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": "Autoantibodies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Autoimmune Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus, Type 1", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Immunoglobulin G", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Insulin Antibodies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Islets of Langerhans", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Institutes of 'Medical Semeiotics, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Betterle", 
        "givenName": "C.", 
        "id": "sg:person.0100753441.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0100753441.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institutes of 'Medical Semeiotics, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Presotto", 
        "givenName": "F.", 
        "id": "sg:person.01234626553.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234626553.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institutes of 'Medical Semeiotics, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pedini", 
        "givenName": "B.", 
        "id": "sg:person.0724237563.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724237563.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "General Hospital, Treviso, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moro", 
        "givenName": "L.", 
        "id": "sg:person.01367663707.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367663707.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institutes of 'Medical Semeiotics, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Slack", 
        "givenName": "R. S.", 
        "id": "sg:person.01040466163.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040466163.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institutes of 'Medical Semeiotics, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zanette", 
        "givenName": "F.", 
        "id": "sg:person.01035371047.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035371047.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Padua", 
          "id": "https://www.grid.ac/institutes/grid.5608.b", 
          "name": [
            "Human Anatomy, Padua University, Padua"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zanchetta", 
        "givenName": "R.", 
        "id": "sg:person.0650116147.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650116147.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1056/nejm198302103080607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011271270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1759(85)90490-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015986587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1759(85)90490-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015986587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(82)91009-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031646887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(82)91009-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031646887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00452073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032282617", 
          "https://doi.org/10.1007/bf00452073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00452073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032282617", 
          "https://doi.org/10.1007/bf00452073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00452073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032282617", 
          "https://doi.org/10.1007/bf00452073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(74)90140-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033242317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(76)90631-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033700747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(76)90631-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033700747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0001-2998(78)80021-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035546605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(85)92086-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039904578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(80)92825-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045820507"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm198605223142106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053224181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.6362005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062636916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.28.12.1039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070733421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.35.2.139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070734964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.36.5.578", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070735264"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1987-05", 
    "datePublishedReg": "1987-05-01", 
    "description": "To evaluate the behaviour and predictive value of islet cell and insulin autoantibodies in patients with organ-specific autoimmune diseases, we followed 21 non-diabetic subjects for a mean period of 84 +/- 27 months. Ten patients were persistently seropositive for complement-fixing islet cell antibodies and high titres of immunoglobulin G islet cell antibodies (greater than or equal to 1:8). The prevalence of persistent insulin autoantibodies in this group was 67%. Seven patients (70%) developed Type 1 (insulin-dependent) diabetes mellitus after a latency period of 2-60 months. The predictive value of complement-fixing islet cell antibodies was 65%, and in the presence of both complement-fixing islet cell and insulin autoantibodies the predictive value rose to 76%. Eleven patients were seronegative for complement-fixing islet cell antibodies and had low immunoglobulin G islet cell antibodies titres (less than 1:8) that were either persistent or transient, or that fluctuated during follow-up. The prevalence of persistent insulin autoantibodies in this group was 45%; only one subject developed Type 1 diabetes. The predictive value of persistent islet cell antibodies (complement-fixing positive/negative) was 54%, and it rose to 70% when both islet cell and insulin autoantibodies were present. Individuals with only insulin autoantibodies or immunoglobulin G islet cell antibodies did not develop diabetes mellitus. A high frequency of HLA-DR3 and/or DR4 was found in patients who developed diabetes mellitus. Thus, the presence of both islet cell and insulin autoantibodies in patients with organ-specific autoimmune disease appears to confer the highest risk of progression toward Type 1 diabetes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00299020", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1001482", 
        "issn": [
          "0012-186X", 
          "1432-0428"
        ], 
        "name": "Diabetologia", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Islet cell and insulin autoantibodies in organ-specific autoimmune patients. Their behaviour and predictive value for the development of Type 1 (insulin-dependent) diabetes mellitus. A 10-year follow-up study", 
    "pagination": "292-297", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00299020"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "efd179e5cae9ad29a0ba57820e082e362e2a49c3bd4d397c0525c288722321bb"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050342703"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0006777"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "3301480"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00299020", 
      "https://app.dimensions.ai/details/publication/pub.1050342703"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T08:51", 
    "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/v90/0000000374_0000000374/records_119737_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2FBF00299020"
  }
]
 

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/bf00299020'

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/bf00299020'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00299020'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00299020'


 

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

226 TRIPLES      21 PREDICATES      58 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00299020 schema:about N023f6e3c5f104f5fb1acb35882f05da3
2 N0891afac758f4f7a81d006a5cbf8e584
3 N2df496a9111b45e98c1b170dcc0e44e4
4 N6db10f81cdf7418ba75dc15611046d01
5 N6e9efbb0d8684cc5a7e1061f3733ae22
6 N712427a98ccb4acc8de584b76cfb61e2
7 N7922c6727c54401da5d34d2fdf7ae6c3
8 N83610cc3f47c4f90a77559e1cb2109f7
9 N94c8dfa2fe7447a9a2797c3a38b3394d
10 N96f2a39840404701837b147641f6a3f9
11 N9a3186e973bf4e54ae382ce33e9760c0
12 N9cbafdaea2234c6fbd2de198805f8730
13 Nc8158d2be5544d1d8a1e13a28ad9f485
14 Nebca7c70b9934f3282ef1dceea03bb8b
15 Nf67d578f85cb4e269aa03ecaf4abd595
16 anzsrc-for:11
17 anzsrc-for:1103
18 schema:author Naa348431f9134583aca7dd4a536e8ef2
19 schema:citation sg:pub.10.1007/bf00452073
20 https://doi.org/10.1016/0022-1759(85)90490-9
21 https://doi.org/10.1016/s0001-2998(78)80021-x
22 https://doi.org/10.1016/s0140-6736(74)90140-8
23 https://doi.org/10.1016/s0140-6736(76)90631-0
24 https://doi.org/10.1016/s0140-6736(80)92825-1
25 https://doi.org/10.1016/s0140-6736(82)91009-1
26 https://doi.org/10.1016/s0140-6736(85)92086-0
27 https://doi.org/10.1056/nejm198302103080607
28 https://doi.org/10.1056/nejm198605223142106
29 https://doi.org/10.1126/science.6362005
30 https://doi.org/10.2337/diab.28.12.1039
31 https://doi.org/10.2337/diab.35.2.139
32 https://doi.org/10.2337/diab.36.5.578
33 schema:datePublished 1987-05
34 schema:datePublishedReg 1987-05-01
35 schema:description To evaluate the behaviour and predictive value of islet cell and insulin autoantibodies in patients with organ-specific autoimmune diseases, we followed 21 non-diabetic subjects for a mean period of 84 +/- 27 months. Ten patients were persistently seropositive for complement-fixing islet cell antibodies and high titres of immunoglobulin G islet cell antibodies (greater than or equal to 1:8). The prevalence of persistent insulin autoantibodies in this group was 67%. Seven patients (70%) developed Type 1 (insulin-dependent) diabetes mellitus after a latency period of 2-60 months. The predictive value of complement-fixing islet cell antibodies was 65%, and in the presence of both complement-fixing islet cell and insulin autoantibodies the predictive value rose to 76%. Eleven patients were seronegative for complement-fixing islet cell antibodies and had low immunoglobulin G islet cell antibodies titres (less than 1:8) that were either persistent or transient, or that fluctuated during follow-up. The prevalence of persistent insulin autoantibodies in this group was 45%; only one subject developed Type 1 diabetes. The predictive value of persistent islet cell antibodies (complement-fixing positive/negative) was 54%, and it rose to 70% when both islet cell and insulin autoantibodies were present. Individuals with only insulin autoantibodies or immunoglobulin G islet cell antibodies did not develop diabetes mellitus. A high frequency of HLA-DR3 and/or DR4 was found in patients who developed diabetes mellitus. Thus, the presence of both islet cell and insulin autoantibodies in patients with organ-specific autoimmune disease appears to confer the highest risk of progression toward Type 1 diabetes.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree true
39 schema:isPartOf N021b0e0a4e234de9b953856303ecee51
40 Na681af0c49de41a9b9b35b0e4bf7ab8f
41 sg:journal.1001482
42 schema:name Islet cell and insulin autoantibodies in organ-specific autoimmune patients. Their behaviour and predictive value for the development of Type 1 (insulin-dependent) diabetes mellitus. A 10-year follow-up study
43 schema:pagination 292-297
44 schema:productId N00c3b3599cd345e98ecd26778c961b63
45 N02d2259912974531a4a86f02b5733b2a
46 N754bc355fe5a4ae3b9d74ec9c802c8b2
47 Na4716662c7a24e3bbab8f9a03099d381
48 Ne941e2f16f0846f3be8372c2f1581aef
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050342703
50 https://doi.org/10.1007/bf00299020
51 schema:sdDatePublished 2019-04-15T08:51
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N6e7bb235baa9410a95fc7498bdcb9b55
54 schema:url https://link.springer.com/10.1007%2FBF00299020
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N00c3b3599cd345e98ecd26778c961b63 schema:name readcube_id
59 schema:value efd179e5cae9ad29a0ba57820e082e362e2a49c3bd4d397c0525c288722321bb
60 rdf:type schema:PropertyValue
61 N021b0e0a4e234de9b953856303ecee51 schema:issueNumber 5
62 rdf:type schema:PublicationIssue
63 N023f6e3c5f104f5fb1acb35882f05da3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Immunoglobulin G
65 rdf:type schema:DefinedTerm
66 N02d2259912974531a4a86f02b5733b2a schema:name dimensions_id
67 schema:value pub.1050342703
68 rdf:type schema:PropertyValue
69 N0657705f33dc44feae6d64a7e0f98d41 rdf:first sg:person.01367663707.82
70 rdf:rest N88a004e5594640deb1e944f38515e072
71 N06b8741229024ed3989a1e4a235af8f2 schema:name General Hospital, Treviso, Italy
72 rdf:type schema:Organization
73 N0891afac758f4f7a81d006a5cbf8e584 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Autoimmune Diseases
75 rdf:type schema:DefinedTerm
76 N1ca0ba3c04aa4c3fb51485dbdb0dd5e3 rdf:first sg:person.0650116147.40
77 rdf:rest rdf:nil
78 N216c8b13fd6444689b05c9557f5d17a1 schema:name Institutes of 'Medical Semeiotics, Italy
79 rdf:type schema:Organization
80 N2a2590d65da5452792b01f7a9a65c11c rdf:first sg:person.01234626553.85
81 rdf:rest N6ec220668cc742e49e944c13d1caf447
82 N2df496a9111b45e98c1b170dcc0e44e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Islets of Langerhans
84 rdf:type schema:DefinedTerm
85 N6db10f81cdf7418ba75dc15611046d01 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Adult
87 rdf:type schema:DefinedTerm
88 N6e7bb235baa9410a95fc7498bdcb9b55 schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 N6e9efbb0d8684cc5a7e1061f3733ae22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Child
92 rdf:type schema:DefinedTerm
93 N6ec220668cc742e49e944c13d1caf447 rdf:first sg:person.0724237563.18
94 rdf:rest N0657705f33dc44feae6d64a7e0f98d41
95 N712427a98ccb4acc8de584b76cfb61e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Autoantibodies
97 rdf:type schema:DefinedTerm
98 N754bc355fe5a4ae3b9d74ec9c802c8b2 schema:name nlm_unique_id
99 schema:value 0006777
100 rdf:type schema:PropertyValue
101 N7681ecad6a9d4d369516099fef5ae0a2 schema:name Institutes of 'Medical Semeiotics, Italy
102 rdf:type schema:Organization
103 N7922c6727c54401da5d34d2fdf7ae6c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Humans
105 rdf:type schema:DefinedTerm
106 N83610cc3f47c4f90a77559e1cb2109f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Female
108 rdf:type schema:DefinedTerm
109 N88a004e5594640deb1e944f38515e072 rdf:first sg:person.01040466163.98
110 rdf:rest Nca26baa352a5485ca3b4f7c2520e5be1
111 N94637bd5d1f1423abba5640250aada31 schema:name Institutes of 'Medical Semeiotics, Italy
112 rdf:type schema:Organization
113 N94c8dfa2fe7447a9a2797c3a38b3394d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Diabetes Mellitus, Type 1
115 rdf:type schema:DefinedTerm
116 N96f2a39840404701837b147641f6a3f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Male
118 rdf:type schema:DefinedTerm
119 N9762aa13e04b451fac21fee7a8635399 schema:name Institutes of 'Medical Semeiotics, Italy
120 rdf:type schema:Organization
121 N9a3186e973bf4e54ae382ce33e9760c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Aged
123 rdf:type schema:DefinedTerm
124 N9cbafdaea2234c6fbd2de198805f8730 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Follow-Up Studies
126 rdf:type schema:DefinedTerm
127 Na4716662c7a24e3bbab8f9a03099d381 schema:name pubmed_id
128 schema:value 3301480
129 rdf:type schema:PropertyValue
130 Na681af0c49de41a9b9b35b0e4bf7ab8f schema:volumeNumber 30
131 rdf:type schema:PublicationVolume
132 Naa348431f9134583aca7dd4a536e8ef2 rdf:first sg:person.0100753441.07
133 rdf:rest N2a2590d65da5452792b01f7a9a65c11c
134 Nc7f09bf49cdc4da3949c8fb4c9805771 schema:name Institutes of 'Medical Semeiotics, Italy
135 rdf:type schema:Organization
136 Nc8158d2be5544d1d8a1e13a28ad9f485 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Middle Aged
138 rdf:type schema:DefinedTerm
139 Nca26baa352a5485ca3b4f7c2520e5be1 rdf:first sg:person.01035371047.07
140 rdf:rest N1ca0ba3c04aa4c3fb51485dbdb0dd5e3
141 Ne941e2f16f0846f3be8372c2f1581aef schema:name doi
142 schema:value 10.1007/bf00299020
143 rdf:type schema:PropertyValue
144 Nebca7c70b9934f3282ef1dceea03bb8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Insulin Antibodies
146 rdf:type schema:DefinedTerm
147 Nf67d578f85cb4e269aa03ecaf4abd595 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Adolescent
149 rdf:type schema:DefinedTerm
150 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
151 schema:name Medical and Health Sciences
152 rdf:type schema:DefinedTerm
153 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
154 schema:name Clinical Sciences
155 rdf:type schema:DefinedTerm
156 sg:journal.1001482 schema:issn 0012-186X
157 1432-0428
158 schema:name Diabetologia
159 rdf:type schema:Periodical
160 sg:person.0100753441.07 schema:affiliation N216c8b13fd6444689b05c9557f5d17a1
161 schema:familyName Betterle
162 schema:givenName C.
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0100753441.07
164 rdf:type schema:Person
165 sg:person.01035371047.07 schema:affiliation N9762aa13e04b451fac21fee7a8635399
166 schema:familyName Zanette
167 schema:givenName F.
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035371047.07
169 rdf:type schema:Person
170 sg:person.01040466163.98 schema:affiliation Nc7f09bf49cdc4da3949c8fb4c9805771
171 schema:familyName Slack
172 schema:givenName R. S.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040466163.98
174 rdf:type schema:Person
175 sg:person.01234626553.85 schema:affiliation N94637bd5d1f1423abba5640250aada31
176 schema:familyName Presotto
177 schema:givenName F.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234626553.85
179 rdf:type schema:Person
180 sg:person.01367663707.82 schema:affiliation N06b8741229024ed3989a1e4a235af8f2
181 schema:familyName Moro
182 schema:givenName L.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367663707.82
184 rdf:type schema:Person
185 sg:person.0650116147.40 schema:affiliation https://www.grid.ac/institutes/grid.5608.b
186 schema:familyName Zanchetta
187 schema:givenName R.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650116147.40
189 rdf:type schema:Person
190 sg:person.0724237563.18 schema:affiliation N7681ecad6a9d4d369516099fef5ae0a2
191 schema:familyName Pedini
192 schema:givenName B.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724237563.18
194 rdf:type schema:Person
195 sg:pub.10.1007/bf00452073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032282617
196 https://doi.org/10.1007/bf00452073
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/0022-1759(85)90490-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015986587
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/s0001-2998(78)80021-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035546605
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/s0140-6736(74)90140-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033242317
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s0140-6736(76)90631-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033700747
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s0140-6736(80)92825-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045820507
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/s0140-6736(82)91009-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031646887
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/s0140-6736(85)92086-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039904578
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1056/nejm198302103080607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011271270
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1056/nejm198605223142106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053224181
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1126/science.6362005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062636916
217 rdf:type schema:CreativeWork
218 https://doi.org/10.2337/diab.28.12.1039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070733421
219 rdf:type schema:CreativeWork
220 https://doi.org/10.2337/diab.35.2.139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070734964
221 rdf:type schema:CreativeWork
222 https://doi.org/10.2337/diab.36.5.578 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070735264
223 rdf:type schema:CreativeWork
224 https://www.grid.ac/institutes/grid.5608.b schema:alternateName University of Padua
225 schema:name Human Anatomy, Padua University, Padua
226 rdf:type schema:Organization
 




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


...