Antibodies to oxidized insulin improve prediction of type 1 diabetes in children with positive standard islet autoantibodies.


Journal

Diabetes/metabolism research and reviews
ISSN: 1520-7560
Titre abrégé: Diabetes Metab Res Rev
Pays: England
ID NLM: 100883450

Informations de publication

Date de publication:
05 2019
Historique:
received: 15 12 2018
revised: 23 01 2019
accepted: 24 01 2019
pubmed: 30 1 2019
medline: 7 1 2020
entrez: 30 1 2019
Statut: ppublish

Résumé

Antibodies to posttranslationally modified insulin (oxPTM-INS-Ab) are a novel biomarker of type 1 diabetes (T1D). Here, we evaluated whether oxPTM-INS-Ab can improve T1D prediction in children with positive standard islet autoantibodies (AAB). We evaluated sensitivity, specificity, accuracy, and risk for progression to T1D associated with oxPTM-INS-Ab and the standard islet AAB that include insulin (IAA), GAD (GADA), and tyrosine phosphatase 2 (IA-2A) in a cohort of islet AAB-positive (AAB oxPTM-INS-Ab was the most sensitive and specific autoantibody biomarker (74% sensitivity, 91% specificity), followed by IA-2A (71% sensitivity, 91% specificity). GADA and IAA showed lower sensitivity (65% and 50%, respectively) and specificity (66% and 68%, respectively). Accuracy (AUC of ROC) of oxPTM-INS-Ab was higher than GADA and IAA (P = 0.003 and P = 0.017, respectively), and similar to IA-2A (P = 0.896). oxPTM-INS-Ab and IA-2A were more effective than IAA for detecting progr-T1D when used as second-line biomarker in GADA Antibodies to oxidized insulin (oxPTM-INS-Ab), compared with IAA which measure autoantibodies to native insulin, improve T1D risk assessment and prediction accuracy in AAB

Sections du résumé

BACKGROUND
Antibodies to posttranslationally modified insulin (oxPTM-INS-Ab) are a novel biomarker of type 1 diabetes (T1D). Here, we evaluated whether oxPTM-INS-Ab can improve T1D prediction in children with positive standard islet autoantibodies (AAB).
METHODS
We evaluated sensitivity, specificity, accuracy, and risk for progression to T1D associated with oxPTM-INS-Ab and the standard islet AAB that include insulin (IAA), GAD (GADA), and tyrosine phosphatase 2 (IA-2A) in a cohort of islet AAB-positive (AAB
RESULTS
oxPTM-INS-Ab was the most sensitive and specific autoantibody biomarker (74% sensitivity, 91% specificity), followed by IA-2A (71% sensitivity, 91% specificity). GADA and IAA showed lower sensitivity (65% and 50%, respectively) and specificity (66% and 68%, respectively). Accuracy (AUC of ROC) of oxPTM-INS-Ab was higher than GADA and IAA (P = 0.003 and P = 0.017, respectively), and similar to IA-2A (P = 0.896). oxPTM-INS-Ab and IA-2A were more effective than IAA for detecting progr-T1D when used as second-line biomarker in GADA
CONCLUSIONS
Antibodies to oxidized insulin (oxPTM-INS-Ab), compared with IAA which measure autoantibodies to native insulin, improve T1D risk assessment and prediction accuracy in AAB

Identifiants

pubmed: 30693639
doi: 10.1002/dmrr.3132
doi:

Substances chimiques

Autoantibodies 0
Biomarkers 0
Blood Glucose 0
Insulin Antibodies 0
Insulin, Regular, Human 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3132

Informations de copyright

© 2019 John Wiley & Sons, Ltd.

Auteurs

Rocky Strollo (R)

Department of Medicine, Unit of Endocrinology & Diabetes, Universitá Campus Bio-Medico di Roma, Rome, Italy.

Chiara Vinci (C)

Department of Medicine, Unit of Endocrinology & Diabetes, Universitá Campus Bio-Medico di Roma, Rome, Italy.
Centre for Biochemical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

Nicola Napoli (N)

Department of Medicine, Unit of Endocrinology & Diabetes, Universitá Campus Bio-Medico di Roma, Rome, Italy.
I.R.C.C.S. Istituto Ortopedico Galeazzi, Milan, Italy.

Elvira Fioriti (E)

Department of Medicine, Unit of Endocrinology & Diabetes, Universitá Campus Bio-Medico di Roma, Rome, Italy.

Ernesto Maddaloni (E)

Department of Medicine, Unit of Endocrinology & Diabetes, Universitá Campus Bio-Medico di Roma, Rome, Italy.

Linda Åkerman (L)

Division of Pediatrics, Department of Clinical Experimental Medicine, Medical Faculty, Linköping University, Linköping, Sweden.

Rosaura Casas (R)

Division of Pediatrics, Department of Clinical Experimental Medicine, Medical Faculty, Linköping University, Linköping, Sweden.

Paolo Pozzilli (P)

Department of Medicine, Unit of Endocrinology & Diabetes, Universitá Campus Bio-Medico di Roma, Rome, Italy.
Centre for Immunobiology, the Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

Johnny Ludvigsson (J)

Division of Pediatrics, Department of Clinical Experimental Medicine, Medical Faculty, Linköping University, Linköping, Sweden.
Crown Princess Victoria Children's Hospital, Region Östergötland, Linköping, Sweden.

Ahuva Nissim (A)

Centre for Biochemical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

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Classifications MeSH