Literature DB >> 23900975

Novel diabetes autoantibodies and prediction of type 1 diabetes.

Janet M Wenzlau1, John C Hutton.   

Abstract

Autoantibodies are currently the most robust biomarkers of type 1 diabetes and are frequently used to establish entry criteria for the participation of genetically at-risk individuals in secondary prevention/intervention clinical trials. Since their original description almost 40 years ago, considerable efforts have been devoted toward identifying the precise molecular targets that are recognized. Such information can have significant benefit for developing improved metrics for identifying/stratifying of at-risk subjects, developing potential therapeutic targets, and advancing understanding of the pathophysiology of the disease. Currently, four major molecular targets ([pro]insulin, GAD65, IA-2, and ZnT8) have been confirmed, with approximately 94% of all subjects with a clinical diagnosis of type 1 diabetes expressing autoantibodies to at least one of these molecules at clinical onset. In this review, we summarize some of the salient properties of these targets that might contribute to their autoantigenicity and methods that have been used in attempts to identify new components of the humoral autoresponse.

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Year:  2013        PMID: 23900975      PMCID: PMC3887556          DOI: 10.1007/s11892-013-0405-9

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  44 in total

Review 1.  ZnT-8, a pancreatic beta-cell-specific zinc transporter.

Authors:  Fabrice Chimienti; Alain Favier; Michel Seve
Journal:  Biometals       Date:  2005-08       Impact factor: 2.949

Review 2.  T-cell education in autoimmune diabetes: teachers and students.

Authors:  Judith G M Rosmalen; Willem van Ewijk; Pieter J M Leenen
Journal:  Trends Immunol       Date:  2002-01       Impact factor: 16.687

3.  Islet-cell antibodies in diabetes mellitus with autoimmune polyendocrine deficiencies.

Authors:  G F Bottazzo; A Florin-Christensen; D Doniach
Journal:  Lancet       Date:  1974-11-30       Impact factor: 79.321

Review 4.  Humoral autoimmunity in type 1 diabetes: prediction, significance, and detection of distinct disease subtypes.

Authors:  Massimo Pietropaolo; Roberto Towns; George S Eisenbarth
Journal:  Cold Spring Harb Perspect Med       Date:  2012-10-01       Impact factor: 6.915

5.  Correlations between islet autoantibody specificity and the SLC30A8 genotype with HLA-DQB1 and metabolic control in new onset type 1 diabetes.

Authors:  Caroline Brorsson; Fariba Vaziri-Sani; Regine Bergholdt; Stefanie Eising; Anita Nilsson; Jannet Svensson; Åke Lernmark; Flemming Pociot
Journal:  Autoimmunity       Date:  2010-09-14       Impact factor: 2.815

6.  Differential splicing of the IA-2 mRNA in pancreas and lymphoid organs as a permissive genetic mechanism for autoimmunity against the IA-2 type 1 diabetes autoantigen.

Authors:  J Diez; Y Park; M Zeller; D Brown; D Garza; C Ricordi; J Hutton; G S Eisenbarth; A Pugliese
Journal:  Diabetes       Date:  2001-04       Impact factor: 9.461

7.  Lipid-protein nanodiscs promote in vitro folding of transmembrane domains of multi-helical and multimeric membrane proteins.

Authors:  Zakhar O Shenkarev; Ekaterina N Lyukmanova; Ivan O Butenko; Lada E Petrovskaya; Alexander S Paramonov; Mikhail A Shulepko; Oksana V Nekrasova; Mikhail P Kirpichnikov; Alexander S Arseniev
Journal:  Biochim Biophys Acta       Date:  2012-11-13

8.  Selective autoantibody production against CCL3 is associated with human type 1 diabetes mellitus and serves as a novel biomarker for its diagnosis.

Authors:  Naim Shehadeh; Shirly Pollack; Gizi Wildbaum; Yaniv Zohar; Itay Shafat; Reem Makhoul; Essam Daod; Fahed Hakim; Rina Perlman; Nathan Karin
Journal:  J Immunol       Date:  2009-06-15       Impact factor: 5.422

9.  Autoantibodies in IDDM primarily recognize the 65,000-M(r) rather than the 67,000-M(r) isoform of glutamic acid decarboxylase.

Authors:  W A Hagopian; B Michelsen; A E Karlsen; F Larsen; A Moody; C E Grubin; R Rowe; J Petersen; R McEvoy; A Lernmark
Journal:  Diabetes       Date:  1993-04       Impact factor: 9.461

10.  Molecular cloning and identification of a receptor-type protein tyrosine phosphatase, IA-2, from human insulinoma.

Authors:  M S Lan; J Lu; Y Goto; A L Notkins
Journal:  DNA Cell Biol       Date:  1994-05       Impact factor: 3.311

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  28 in total

Review 1.  Type 1 diabetes: where are we in 2017?

Authors:  Melanie Copenhaver; Robert P Hoffman
Journal:  Transl Pediatr       Date:  2017-10

2.  A subclass of serum anti-ZnT8 antibodies directed to the surface of live pancreatic β-cells.

Authors:  Chengfeng Merriman; Qiong Huang; Wei Gu; Liping Yu; Dax Fu
Journal:  J Biol Chem       Date:  2017-11-28       Impact factor: 5.157

3.  Standards of medical care in diabetes--2015: summary of revisions.

Authors: 
Journal:  Diabetes Care       Date:  2015-01       Impact factor: 19.112

Review 4.  Autoimmune diabetes recurrence should be routinely monitored after pancreas transplantation.

Authors:  La Salete Martins
Journal:  World J Transplant       Date:  2014-09-24

5.  Pathophysiologic changes in IA-2/IA-2β null mice are secondary to alterations in the secretion of hormones and neurotransmitters.

Authors:  Tao Cai; Abner L Notkins
Journal:  Acta Diabetol       Date:  2015-04-11       Impact factor: 4.280

6.  Down-regulation of the islet-specific zinc transporter-8 (ZnT8) protects human insulinoma cells against inflammatory stress.

Authors:  Chengfeng Merriman; Dax Fu
Journal:  J Biol Chem       Date:  2019-10-07       Impact factor: 5.157

Review 7.  Serum biomarkers for diagnosis and prediction of type 1 diabetes.

Authors:  Lian Yi; Adam C Swensen; Wei-Jun Qian
Journal:  Transl Res       Date:  2018-08-01       Impact factor: 7.012

8.  Optimizing Multiplexed Detections of Diabetes Antibodies via Quantitative Microfluidic Droplet Array.

Authors:  Kai Duan; Gargi Ghosh; Joe Fujiou Lo
Journal:  Small       Date:  2017-10-09       Impact factor: 13.281

Review 9.  Transcriptomic Segregation of Human Autoantigens Useful for the Diagnosis of Autoimmune Diseases.

Authors:  Peter D Burbelo; Michael J Iadarola; Ilias Alevizos; Matthew R Sapio
Journal:  Mol Diagn Ther       Date:  2016-10       Impact factor: 4.074

Review 10.  New autoantibody detection technologies yield novel insights into autoimmune disease.

Authors:  Peter D Burbelo; Terrance P O'Hanlon
Journal:  Curr Opin Rheumatol       Date:  2014-11       Impact factor: 5.006

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