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Islet autoantibodies and their use in predicting insulin-dependent diabetes

Author
BONIFACIO, E1 ; BINGLEY, P. J2
[1] Department of Medicine I, Istituto Scientifico San Raffaele, Via Olgettina 60, 20132 Milan, Italy
[2] Diabetic Medicine, Department of Medicine, University of Bristol, Bristol, United Kingdom
Conference name
International Milano Meeting on Diabetes (6 ; Milan 1996-03-21)
Source

Acta diabetologica (Print). 1997, Vol 34, Num 3, pp 185-193 ; ref : 108 ref

ISSN
0940-5429
Scientific domain
Endocrinology; Nutrition, obesity, metabolic disorders
Publisher
Springer International, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Autoanticorps Diabète insulinodépendant Exploration immunologique Homme Ilot Langerhans Pathogénie Revue bibliographique Valeur prédictive Endocrinopathie Immunopathologie Maladie autoimmune
Keyword (en)
Autoantibody Insulin dependent diabetes Immunological investigation Human Langerhans islet Pathogenesis Bibliographic review Predictive value Endocrinopathy Immunopathology Autoimmune disease
Keyword (es)
Autoanticuerpo Diabetes insulinodependiente Análisis inmunológico Hombre Isla Langerhans Patogenia Revista bibliográfica Valor predictivo Endocrinopatía Inmunopatología Enfermedad autoinmune
Classification
Pascal
002 Biological and medical sciences / 002B Medical sciences / 002B21 Endocrinopathies / 002B21E Endocrine pancreas. Apud cells (diseases) / 002B21E01 Diabetes. Impaired glucose tolerance / 002B21E01A Etiopathogenesis. Screening. Investigations. Target tissue resistance

Discipline
Endocrinopathies
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
2053926

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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