Literature DB >> 16390386

Cytoplasmic islet cell antibodies remain valuable in defining risk of progression to type 1 diabetes in subjects with other islet autoantibodies.

Massimo Pietropaolo1, Shui Yu, Ingrid M Libman, Susan L Pietropaolo, Karen Riley, Ronald E LaPorte, Allan L Drash, Sati Mazumdar, Massimo Trucco, Dorothy J Becker.   

Abstract

The discovery of islet cell antibodies (ICAs) was the prelude to the understanding that type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease. The issue regarding whether or not the measurement of ICAs should be completely replaced by biochemical markers detecting islet autoantibodies (AAs) for the prediction of T1DM has been the subject of endless international debates. In light of this controversy, we assessed the current role of ICAs as a predictive marker for T1DM progression. We examined a cohort of 1484 first-degree relatives (FDRs) of T1DM probands from the Children's Hospital of Pittsburgh Registry. These relatives were consecutively enrolled between 1979 through 1984 and followed up to 22 yr. Serum obtained at the time of enrollment was assayed for ICAs, glutamic acid decarboxylase (GAD)65, insulin A (IA)-2 AA, and insulin AAs (IAAs). In FDRs who had ICAs in addition to GAD65 and IA-2 AAs, the cumulative risk of developing insulin-requiring diabetes was 80% at 6.7 yr of follow-up, whereas this risk in those with GAD65 and IA-2 AAs without ICAs was only 14% at 10 yr of follow-up (log rank: P < 0.00001). Cox regression analysis showed that diabetes risk was significantly associated with the presence of ICAs in both subjects with low titer and high titer GAD65 and IA-2 AAs. The addition of IAAs in GAD65 and IA-2 AA-positive relatives did not increase the cumulative risk for conversion to insulin-treated diabetes. We provide evidence that a subgroup of ICAs predicts a more rapid progression to insulin-requiring diabetes in GAD65 and IA-2 AA-positive relatives and should remain part of the assessment of T1DM risk for intervention trials. In addition, these findings provide impetus for efforts to identify a novel islet autoantigen(s) reactive with this ICA subset.

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Year:  2005        PMID: 16390386     DOI: 10.1111/j.1399-543X.2005.00127.x

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  17 in total

1.  Humoral autoimmunity against the extracellular domain of the neuroendocrine autoantigen IA-2 heightens the risk of type 1 diabetes.

Authors:  Michael P Morran; Anna Casu; Vincent C Arena; Susan Pietropaolo; Ying-Jian Zhang; Leslie S Satin; Patrick Nelson; Gilbert S Omenn; Massimo Trucco; Dorothy J Becker; Massimo Pietropaolo
Journal:  Endocrinology       Date:  2010-04-09       Impact factor: 4.736

Review 2.  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

Review 3.  Prediction and prevention of type 1 diabetes: update on success of prediction and struggles at prevention.

Authors:  Aaron Michels; Li Zhang; Anmar Khadra; Jake A Kushner; Maria J Redondo; Massimo Pietropaolo
Journal:  Pediatr Diabetes       Date:  2015-07-23       Impact factor: 4.866

Review 4.  Islet autoantigens: structure, function, localization, and regulation.

Authors:  Peter Arvan; Massimo Pietropaolo; David Ostrov; Christopher J Rhodes
Journal:  Cold Spring Harb Perspect Med       Date:  2012-08-01       Impact factor: 6.915

5.  Modeling dynamic changes in type 1 diabetes progression: quantifying beta-cell variation after the appearance of islet-specific autoimmune responses.

Authors:  Patrick Nelson; Noah Smith; Stanca Ciupe; Weiping Zou; Gilbert S Omenn; Massimo Pietropaolo
Journal:  Math Biosci Eng       Date:  2009-10       Impact factor: 2.080

6.  Compromised central tolerance of ICA69 induces multiple organ autoimmunity.

Authors:  Yong Fan; Giulio Gualtierotti; Asako Tajima; Maria Grupillo; Antonina Coppola; Jing He; Suzanne Bertera; Gregory Owens; Massimo Pietropaolo; William A Rudert; Massimo Trucco
Journal:  J Autoimmun       Date:  2014-08-01       Impact factor: 7.094

Review 7.  Autoimmune responses in T1DM: quantitative methods to understand onset, progression, and prevention of disease.

Authors:  Majid Jaberi-Douraki; Shang Wan Shalon Liu; Massimo Pietropaolo; Anmar Khadra
Journal:  Pediatr Diabetes       Date:  2014-05       Impact factor: 4.866

Review 8.  Established and emerging biomarkers for the prediction of type 1 diabetes: a systematic review.

Authors:  Renecia A Watkins; Carmella Evans-Molina; Janice S Blum; Linda A DiMeglio
Journal:  Transl Res       Date:  2014-03-04       Impact factor: 7.012

9.  Attacking the source: anti-PDX-1 responses in type 1 diabetes.

Authors:  Yaima Luzardo; Clayton Elwood Mathews
Journal:  Lab Invest       Date:  2010-01       Impact factor: 5.662

10.  Prediction of type 1 diabetes among siblings of affected children and in the general population.

Authors:  H T Siljander; R Veijola; A Reunanen; S M Virtanen; H K Akerblom; M Knip
Journal:  Diabetologia       Date:  2007-09-04       Impact factor: 10.122

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