Distinct cytoplasmic islet cell antibodies with different risks for Type 1 (insulin-dependent) diabetes mellitus View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1992-04

AUTHORS

S. Genovese, E. Bonifacio, J. M. McNally, B. M. Dean, R. Wagner, E. Bosi, E. A. M. Gale, G. F. Bottazzo

ABSTRACT

The cytoplasmic islet cell antibody patterns of sera from islet cell antibody positive non-diabetic and diabetic endocrine autoimmune patients, and newly-diagnosed Type 1 (insulin-dependent) diabetic patients were characterised using four layer immunofluorescence with monoclonal anti-proinsulin or anti-glucagon antibodies. Two distinct islet cell antibody types were identified. One gave a diffuse cytoplasmic staining in both Beta and Alpha cells ('whole' islet pattern), and was not affected by pre-incubation with rat brain homogenate. The other had a granular appearance with staining restricted predominantly to Beta cells ('selective' islet pattern) and was completely inhibited by pre-incubation with rat brain homogenate. Some sera appeared to have a 'mixed' islet pattern, in which glucagon-positive cells gave a weaker cytoplasmic staining than proinsulin-positive cells. The granular 'selective' pattern was found in sera from 19 (79%) of 24 non-diabetic endocrine autoimmune patients, in two (22%) endocrine autoimmune patients who developed Type 1 diabetes (p less than 0.0001 vs non-diabetic endocrine autoimmune patients), and in none of 19 newly-diagnosed diabetic patients. The 'whole' islet pattern was found only in sera from patients who had, or who subsequently progressed to, Type 1 diabetes. This study has identified a novel islet cell antibody specificity and demonstrates that in islet cell antibody positive endocrine autoimmune patients, only islet cell antibodies which stain both Beta and Alpha cells are associated with progression to Type 1 diabetes. More... »

PAGES

385-388

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00401207

DOI

http://dx.doi.org/10.1007/bf00401207

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016107783

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/1516768


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/2008/1107", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Immunology", 
        "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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antibodies, Monoclonal", 
        "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": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cytoplasm", 
        "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": "Fluorescent Antibody Technique", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glucagon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rats", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "San Raffaele Hospital", 
          "id": "https://www.grid.ac/institutes/grid.18887.3e", 
          "name": [
            "Department of Immunology, The London Hospital Medical College, UK", 
            "Department of Medicine, San Raffaele Hospital Scientific Institute, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Genovese", 
        "givenName": "S.", 
        "id": "sg:person.01136427106.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136427106.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "Department of Immunology, The London Hospital Medical College, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bonifacio", 
        "givenName": "E.", 
        "id": "sg:person.0624300770.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624300770.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "Department of Immunology, The London Hospital Medical College, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McNally", 
        "givenName": "J. M.", 
        "id": "sg:person.01014323364.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014323364.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "Department of Immunology, The London Hospital Medical College, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dean", 
        "givenName": "B. M.", 
        "id": "sg:person.011076067672.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011076067672.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "Department of Immunology, The London Hospital Medical College, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wagner", 
        "givenName": "R.", 
        "id": "sg:person.0771272322.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771272322.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "San Raffaele Hospital", 
          "id": "https://www.grid.ac/institutes/grid.18887.3e", 
          "name": [
            "Department of Medicine, San Raffaele Hospital Scientific Institute, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bosi", 
        "givenName": "E.", 
        "id": "sg:person.01333476364.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333476364.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St Bartholomew's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416353.6", 
          "name": [
            "Department of Diabetes and Metabolism, St Bartholomew's Hospital, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gale", 
        "givenName": "E. A. M.", 
        "id": "sg:person.012062434302.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012062434302.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St Bartholomew's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416353.6", 
          "name": [
            "Department of Immunology, The London Hospital Medical College, UK", 
            "Department of Diabetes and Metabolism, St Bartholomew's Hospital, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bottazzo", 
        "givenName": "G. F.", 
        "id": "sg:person.07540331124.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07540331124.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0140-6736(76)90538-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013094001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(76)90538-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013094001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1759(90)90427-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013808471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1759(90)90427-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013808471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00277264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014780844", 
          "https://doi.org/10.1007/bf00277264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00277264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014780844", 
          "https://doi.org/10.1007/bf00277264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00277264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014780844", 
          "https://doi.org/10.1007/bf00277264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/347151a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016714750", 
          "https://doi.org/10.1038/347151a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199005313222202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038923993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(90)90013-u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047651427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(90)90013-u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047651427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.40.8.977", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070736607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.41.3.347", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070736772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.40.8.977", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070742159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082674872", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1992-04", 
    "datePublishedReg": "1992-04-01", 
    "description": "The cytoplasmic islet cell antibody patterns of sera from islet cell antibody positive non-diabetic and diabetic endocrine autoimmune patients, and newly-diagnosed Type 1 (insulin-dependent) diabetic patients were characterised using four layer immunofluorescence with monoclonal anti-proinsulin or anti-glucagon antibodies. Two distinct islet cell antibody types were identified. One gave a diffuse cytoplasmic staining in both Beta and Alpha cells ('whole' islet pattern), and was not affected by pre-incubation with rat brain homogenate. The other had a granular appearance with staining restricted predominantly to Beta cells ('selective' islet pattern) and was completely inhibited by pre-incubation with rat brain homogenate. Some sera appeared to have a 'mixed' islet pattern, in which glucagon-positive cells gave a weaker cytoplasmic staining than proinsulin-positive cells. The granular 'selective' pattern was found in sera from 19 (79%) of 24 non-diabetic endocrine autoimmune patients, in two (22%) endocrine autoimmune patients who developed Type 1 diabetes (p less than 0.0001 vs non-diabetic endocrine autoimmune patients), and in none of 19 newly-diagnosed diabetic patients. The 'whole' islet pattern was found only in sera from patients who had, or who subsequently progressed to, Type 1 diabetes. This study has identified a novel islet cell antibody specificity and demonstrates that in islet cell antibody positive endocrine autoimmune patients, only islet cell antibodies which stain both Beta and Alpha cells are associated with progression to Type 1 diabetes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00401207", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1001482", 
        "issn": [
          "0012-186X", 
          "1432-0428"
        ], 
        "name": "Diabetologia", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "35"
      }
    ], 
    "name": "Distinct cytoplasmic islet cell antibodies with different risks for Type 1 (insulin-dependent) diabetes mellitus", 
    "pagination": "385-388", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4cbfe110da1ff8818c3e8ba6083ee908c1845097cb00d81809d5d445dc13a185"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "1516768"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0006777"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00401207"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016107783"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00401207", 
      "https://app.dimensions.ai/details/publication/pub.1016107783"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:51", 
    "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/v90/0000000371_0000000371/records_130801_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2FBF00401207"
  }
]
 

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/bf00401207'

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/bf00401207'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00401207'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00401207'


 

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

233 TRIPLES      21 PREDICATES      58 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00401207 schema:about N003751a242334d3faadbe81a98289a59
2 N0cf368dcded043c683696d0f8cb5b5c5
3 N1616b4a6ba954028b177dfdf33be45a6
4 N1649f996246a4ac8988b4beed9c9067b
5 N42ade1b236884d2db3d56f48f99a658b
6 N57493982e954401189ae5c8fd254789f
7 N669b8702f1d94726b2ac4592e299d05e
8 N83eb78cb5cd94fa591db8326a1dedab5
9 N949ee930022d4bfea55f7f4dad24d3d0
10 N9c1d04042742402784f4762caa194dcf
11 Nb4cd54d3f1f14ef0b5c3d44dac88655a
12 Nbe1b6c1815fb4987a5ae3f86f63d152d
13 Nc3c3248889b5409e864dcf77a1ce2db3
14 Ncd76c11e933348c288bacfe7e20c95ff
15 Nd307170e5e3d4f8f84f2a1549871087d
16 Nd935b638605c41179c9d73bbf4fc98bd
17 Nee1d24f8a1b0487aa0faa2f28fe93947
18 Nf7b6f2f7590245e4aca0cb406afaac1a
19 Nfb45254aa4154ddfb3292d4e9a9a0f45
20 anzsrc-for:11
21 anzsrc-for:1107
22 schema:author N527d02224a284ddebee4f42f12e63924
23 schema:citation sg:pub.10.1007/bf00277264
24 sg:pub.10.1038/347151a0
25 https://app.dimensions.ai/details/publication/pub.1082674872
26 https://doi.org/10.1016/0022-1759(90)90427-w
27 https://doi.org/10.1016/0140-6736(90)90013-u
28 https://doi.org/10.1016/s0140-6736(76)90538-9
29 https://doi.org/10.1056/nejm199005313222202
30 https://doi.org/10.2337/diab.40.8.977
31 https://doi.org/10.2337/diab.41.3.347
32 https://doi.org/10.2337/diabetes.40.8.977
33 schema:datePublished 1992-04
34 schema:datePublishedReg 1992-04-01
35 schema:description The cytoplasmic islet cell antibody patterns of sera from islet cell antibody positive non-diabetic and diabetic endocrine autoimmune patients, and newly-diagnosed Type 1 (insulin-dependent) diabetic patients were characterised using four layer immunofluorescence with monoclonal anti-proinsulin or anti-glucagon antibodies. Two distinct islet cell antibody types were identified. One gave a diffuse cytoplasmic staining in both Beta and Alpha cells ('whole' islet pattern), and was not affected by pre-incubation with rat brain homogenate. The other had a granular appearance with staining restricted predominantly to Beta cells ('selective' islet pattern) and was completely inhibited by pre-incubation with rat brain homogenate. Some sera appeared to have a 'mixed' islet pattern, in which glucagon-positive cells gave a weaker cytoplasmic staining than proinsulin-positive cells. The granular 'selective' pattern was found in sera from 19 (79%) of 24 non-diabetic endocrine autoimmune patients, in two (22%) endocrine autoimmune patients who developed Type 1 diabetes (p less than 0.0001 vs non-diabetic endocrine autoimmune patients), and in none of 19 newly-diagnosed diabetic patients. The 'whole' islet pattern was found only in sera from patients who had, or who subsequently progressed to, Type 1 diabetes. This study has identified a novel islet cell antibody specificity and demonstrates that in islet cell antibody positive endocrine autoimmune patients, only islet cell antibodies which stain both Beta and Alpha cells are associated with progression to Type 1 diabetes.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree true
39 schema:isPartOf Na9bc0a31a29d41aaa55ad28ae5ea7852
40 Nbd31c46ff38b44cd9ab37420a3201541
41 sg:journal.1001482
42 schema:name Distinct cytoplasmic islet cell antibodies with different risks for Type 1 (insulin-dependent) diabetes mellitus
43 schema:pagination 385-388
44 schema:productId N4fb54adaa3544f7aafa562068f8eeeb2
45 N5d2d376371814957a148518f81fdd257
46 N6cafe81a2950453284ecdf48e0c0c842
47 N7ccb0baf6c6d4f1abd0b4a79d90e1f38
48 Ne77132b583984c149c9afc5ebf410a64
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016107783
50 https://doi.org/10.1007/bf00401207
51 schema:sdDatePublished 2019-04-11T13:51
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N2e47d630046546169a81c4792162e58e
54 schema:url https://link.springer.com/10.1007%2FBF00401207
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N003751a242334d3faadbe81a98289a59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
59 schema:name Aged
60 rdf:type schema:DefinedTerm
61 N043a6decdc0142bea259795824068147 rdf:first sg:person.01014323364.38
62 rdf:rest N3ef49d41beff41aa815bc5a146cbf31c
63 N06e9f6ef23ec4e4c8b0cef73a3ad6f15 rdf:first sg:person.01333476364.42
64 rdf:rest N1319909343ad49d29766e5dd4d6a4000
65 N09ed295eb0fc418dbf238cb86ed4cf50 rdf:first sg:person.0624300770.52
66 rdf:rest N043a6decdc0142bea259795824068147
67 N0cf368dcded043c683696d0f8cb5b5c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Female
69 rdf:type schema:DefinedTerm
70 N1319909343ad49d29766e5dd4d6a4000 rdf:first sg:person.012062434302.19
71 rdf:rest N6976edcc13db44898d84844a756dc09c
72 N1616b4a6ba954028b177dfdf33be45a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Fluorescent Antibody Technique
74 rdf:type schema:DefinedTerm
75 N1649f996246a4ac8988b4beed9c9067b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Child
77 rdf:type schema:DefinedTerm
78 N2e47d630046546169a81c4792162e58e schema:name Springer Nature - SN SciGraph project
79 rdf:type schema:Organization
80 N398bc618b79b44c0a049b4ce0bd0ffff rdf:first sg:person.0771272322.43
81 rdf:rest N06e9f6ef23ec4e4c8b0cef73a3ad6f15
82 N3ef49d41beff41aa815bc5a146cbf31c rdf:first sg:person.011076067672.86
83 rdf:rest N398bc618b79b44c0a049b4ce0bd0ffff
84 N42ade1b236884d2db3d56f48f99a658b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Adult
86 rdf:type schema:DefinedTerm
87 N4fb54adaa3544f7aafa562068f8eeeb2 schema:name dimensions_id
88 schema:value pub.1016107783
89 rdf:type schema:PropertyValue
90 N527d02224a284ddebee4f42f12e63924 rdf:first sg:person.01136427106.59
91 rdf:rest N09ed295eb0fc418dbf238cb86ed4cf50
92 N57493982e954401189ae5c8fd254789f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Brain
94 rdf:type schema:DefinedTerm
95 N5d2d376371814957a148518f81fdd257 schema:name nlm_unique_id
96 schema:value 0006777
97 rdf:type schema:PropertyValue
98 N669b8702f1d94726b2ac4592e299d05e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Autoantibodies
100 rdf:type schema:DefinedTerm
101 N6976edcc13db44898d84844a756dc09c rdf:first sg:person.07540331124.88
102 rdf:rest rdf:nil
103 N6cafe81a2950453284ecdf48e0c0c842 schema:name doi
104 schema:value 10.1007/bf00401207
105 rdf:type schema:PropertyValue
106 N7ccb0baf6c6d4f1abd0b4a79d90e1f38 schema:name pubmed_id
107 schema:value 1516768
108 rdf:type schema:PropertyValue
109 N83eb78cb5cd94fa591db8326a1dedab5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Male
111 rdf:type schema:DefinedTerm
112 N949ee930022d4bfea55f7f4dad24d3d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Islets of Langerhans
114 rdf:type schema:DefinedTerm
115 N9c1d04042742402784f4762caa194dcf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Rats
117 rdf:type schema:DefinedTerm
118 Na9bc0a31a29d41aaa55ad28ae5ea7852 schema:issueNumber 4
119 rdf:type schema:PublicationIssue
120 Nb4cd54d3f1f14ef0b5c3d44dac88655a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Aged, 80 and over
122 rdf:type schema:DefinedTerm
123 Nbd31c46ff38b44cd9ab37420a3201541 schema:volumeNumber 35
124 rdf:type schema:PublicationVolume
125 Nbe1b6c1815fb4987a5ae3f86f63d152d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Humans
127 rdf:type schema:DefinedTerm
128 Nc3c3248889b5409e864dcf77a1ce2db3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Middle Aged
130 rdf:type schema:DefinedTerm
131 Ncd76c11e933348c288bacfe7e20c95ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Animals
133 rdf:type schema:DefinedTerm
134 Nd307170e5e3d4f8f84f2a1549871087d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Cytoplasm
136 rdf:type schema:DefinedTerm
137 Nd935b638605c41179c9d73bbf4fc98bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Antibodies, Monoclonal
139 rdf:type schema:DefinedTerm
140 Ne77132b583984c149c9afc5ebf410a64 schema:name readcube_id
141 schema:value 4cbfe110da1ff8818c3e8ba6083ee908c1845097cb00d81809d5d445dc13a185
142 rdf:type schema:PropertyValue
143 Nee1d24f8a1b0487aa0faa2f28fe93947 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Glucagon
145 rdf:type schema:DefinedTerm
146 Nf7b6f2f7590245e4aca0cb406afaac1a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Diabetes Mellitus, Type 1
148 rdf:type schema:DefinedTerm
149 Nfb45254aa4154ddfb3292d4e9a9a0f45 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Autoimmune Diseases
151 rdf:type schema:DefinedTerm
152 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
153 schema:name Medical and Health Sciences
154 rdf:type schema:DefinedTerm
155 anzsrc-for:1107 schema:inDefinedTermSet anzsrc-for:
156 schema:name Immunology
157 rdf:type schema:DefinedTerm
158 sg:journal.1001482 schema:issn 0012-186X
159 1432-0428
160 schema:name Diabetologia
161 rdf:type schema:Periodical
162 sg:person.01014323364.38 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
163 schema:familyName McNally
164 schema:givenName J. M.
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014323364.38
166 rdf:type schema:Person
167 sg:person.011076067672.86 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
168 schema:familyName Dean
169 schema:givenName B. M.
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011076067672.86
171 rdf:type schema:Person
172 sg:person.01136427106.59 schema:affiliation https://www.grid.ac/institutes/grid.18887.3e
173 schema:familyName Genovese
174 schema:givenName S.
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136427106.59
176 rdf:type schema:Person
177 sg:person.012062434302.19 schema:affiliation https://www.grid.ac/institutes/grid.416353.6
178 schema:familyName Gale
179 schema:givenName E. A. M.
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012062434302.19
181 rdf:type schema:Person
182 sg:person.01333476364.42 schema:affiliation https://www.grid.ac/institutes/grid.18887.3e
183 schema:familyName Bosi
184 schema:givenName E.
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333476364.42
186 rdf:type schema:Person
187 sg:person.0624300770.52 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
188 schema:familyName Bonifacio
189 schema:givenName E.
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624300770.52
191 rdf:type schema:Person
192 sg:person.07540331124.88 schema:affiliation https://www.grid.ac/institutes/grid.416353.6
193 schema:familyName Bottazzo
194 schema:givenName G. F.
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07540331124.88
196 rdf:type schema:Person
197 sg:person.0771272322.43 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
198 schema:familyName Wagner
199 schema:givenName R.
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771272322.43
201 rdf:type schema:Person
202 sg:pub.10.1007/bf00277264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014780844
203 https://doi.org/10.1007/bf00277264
204 rdf:type schema:CreativeWork
205 sg:pub.10.1038/347151a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016714750
206 https://doi.org/10.1038/347151a0
207 rdf:type schema:CreativeWork
208 https://app.dimensions.ai/details/publication/pub.1082674872 schema:CreativeWork
209 https://doi.org/10.1016/0022-1759(90)90427-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1013808471
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/0140-6736(90)90013-u schema:sameAs https://app.dimensions.ai/details/publication/pub.1047651427
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/s0140-6736(76)90538-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013094001
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1056/nejm199005313222202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038923993
216 rdf:type schema:CreativeWork
217 https://doi.org/10.2337/diab.40.8.977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070736607
218 rdf:type schema:CreativeWork
219 https://doi.org/10.2337/diab.41.3.347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070736772
220 rdf:type schema:CreativeWork
221 https://doi.org/10.2337/diabetes.40.8.977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070742159
222 rdf:type schema:CreativeWork
223 https://www.grid.ac/institutes/grid.18887.3e schema:alternateName San Raffaele Hospital
224 schema:name Department of Immunology, The London Hospital Medical College, UK
225 Department of Medicine, San Raffaele Hospital Scientific Institute, Milan, Italy
226 rdf:type schema:Organization
227 https://www.grid.ac/institutes/grid.416353.6 schema:alternateName St Bartholomew's Hospital
228 schema:name Department of Diabetes and Metabolism, St Bartholomew's Hospital, London, UK
229 Department of Immunology, The London Hospital Medical College, UK
230 rdf:type schema:Organization
231 https://www.grid.ac/institutes/grid.4868.2 schema:alternateName Queen Mary University of London
232 schema:name Department of Immunology, The London Hospital Medical College, UK
233 rdf:type schema:Organization
 




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


...