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Diabetes | 1997

Prediction of IDDM in the General Population: Strategies Based on Combinations of Autoantibody Markers

Polly J. Bingley; Ezio Bonifacio; Alistair J K Williams; Stefano Genovese; Gian Franco Bottazzo; Edwin A M Gale

Strategies for assessing risk of progression to IDDM, based on single and combined autoantibody measurement, were evaluated in 2,855 schoolchildren (median age 11.4 years) and 256 children with newly diagnosed IDDM (median age 10.2 years), recruited to a population-based study in the Oxford region. In 256 children with IDDM, levels of antibodies ≥97.5th centile of the schoolchild population were found in 225 (88%) for islet cell antibodies (ICAs), in 190 (74%) for antibodies to GAD, in 193 (75%) for antibodies to protein tyro-sine phosphatase IA-2 (IA-2), and in 177 (69%) for autoantibodies to insulin (IAAs). Estimates of risk of progression to IDDM within 10 years, derived by comparing the distribution of antibody markers in the two populations (schoolchildren and children with IDDM), were 6.7% (ICAs), 6.6% (GAD antibodies), 5.6% (IA-2 antibodies), and 4.8% (IAAs) for schoolchildren with levels above the 97.5th centile, increasing to 20, 23, 24, and 11%, respectively, for antibody levels >99.5th centile. Most children with IDDM had multiple antibody markers, and 89% of those diagnosed over age 10 years had ≥2 antibodies above the 97.5th centile, as compared against 0.7% of schoolchildren, in whom this combination gave a 27% 10-year estimated risk of IDDM. Risk increased but sensitivity fell as combined antibody thresholds were raised, or the number of antibodies above the threshold was increased. Strategies based on detection of ≥2 antibodies with primary testing for GAD and IA-2 antibodies and second line testing for ICAs and/or IAAs were evaluated. Detection of at least two markers selected from GAD antibodies ≥97.5th centile and/or IA-2 antibodies ≥99.5th centile and/or ICAs ≥97.5th centile identified 0.25% of schoolchildren and 83% of children with newly diagnosed IDDM, with an estimated risk of 71% (95% CI 57–91). Although confirmation from prospective studies is still needed, this analysis suggests that antibody combinations can predict diabetes in the general population.


JAMA | 2013

Seroconversion to multiple islet autoantibodies and risk of progression to diabetes in children.

Anette-G. Ziegler; Marian Rewers; Olli Simell; Tuula Simell; Johanna Lempainen; Andrea K. Steck; Christiane Winkler; Jorma Ilonen; Riitta Veijola; Mikael Knip; Ezio Bonifacio; George S. Eisenbarth

IMPORTANCE Type 1 diabetes usually has a preclinical phase identified by circulating islet autoantibodies, but the rate of progression to diabetes after seroconversion to islet autoantibodies is uncertain. OBJECTIVE To determine the rate of progression to diabetes after islet autoantibody seroconversion. DESIGN, SETTING, AND PARTICIPANTS Data were pooled from prospective cohort studies performed in Colorado (recruitment, 1993-2006), Finland (recruitment, 1994-2009), and Germany (recruitment, 1989-2006) examining children genetically at risk for type 1 diabetes for the development of insulin autoantibodies, glutamic acid decarboxylase 65 (GAD65) autoantibodies, insulinoma antigen 2 (IA2) autoantibodies, and diabetes. Participants were all children recruited and followed up in the 3 studies (Colorado, 1962; Finland, 8597; Germany, 2818). Follow-up assessment in each study was concluded by July 2012. MAIN OUTCOMES AND MEASURES The primary analysis was the diagnosis of type 1 diabetes in children with 2 or more autoantibodies. The secondary analysis was the diagnosis of type 1 diabetes in children with 1 autoantibody or no autoantibodies. RESULTS Progression to type 1 diabetes at 10-year follow-up after islet autoantibody seroconversion in 585 children with multiple islet autoantibodies was 69.7% (95% CI, 65.1%-74.3%), and in 474 children with a single islet autoantibody was 14.5% (95% CI, 10.3%-18.7%). Risk of diabetes in children who had no islet autoantibodies was 0.4% (95% CI, 0.2%-0.6%) by the age of 15 years. Progression to type 1 diabetes in the children with multiple islet autoantibodies was faster for children who had islet autoantibody seroconversion younger than age 3 years (hazard ratio [HR], 1.65 [95% CI, 1.30-2.09; P < .001]; 10-year risk, 74.9% [95% CI, 69.7%-80.1%]) vs children 3 years or older (60.9% [95% CI, 51.5%-70.3%]); for children with the human leukocyte antigen (HLA) genotype DR3/DR4-DQ8 (HR, 1.35 [95% CI, 1.09-1.68; P = .007]; 10-year risk, 76.6% [95% CI, 69.2%-84%]) vs other HLA genotypes (66.2% [95% CI, 60.2%-72.2%]); and for girls (HR, 1.28 [95% CI, 1.04-1.58; P = .02];10-year risk, 74.8% [95% CI, 68.0%-81.6%]) vs boys (65.7% [95% CI, 59.3%-72.1%]). CONCLUSIONS AND RELEVANCE The majority of children at risk of type 1 diabetes who had multiple islet autoantibody seroconversion progressed to diabetes over the next 15 years. Future prevention studies should focus on this high-risk population.


Diabetes | 1994

Combined Analysis of Autoantibodies Improves Prediction of IDDM in Islet Cell Antibody-Positive Relatives

Polly J. Bingley; Michael R. Christie; Ezio Bonifacio; Ricardo Bonfanti; Marion Shattock; Maria-Teresa Fonte; G. F. Bottazzo; Edwin A M Gale

Prediction of insulin-dependent diabetes mellitus (IDDM) is still largely based on islet cell antibodies (ICAs), but it may be improved by combined analysis with other humoral markers. We examined autoantibodies to insulin (IAAs), glutamic acid decarboxylase (GAD), and Mr 37,000 and Mr 40,000 fragments of islet antigens (37 and 40 kDa) together with ICA subtypes in 101 family members with ICAs ≥10 Juvenile Diabetes Foundation units (JDF U) followed for up to 14 years, of whom 18 have developed IDDM. Life-table analysis showed a 43% risk of IDDM within 10 years for those with ICAs ≥10 JDF U, rising to 53% for those with ICAs ≥20 JDF U. The risk for ICAs ≥10 JDF U was 62% in the family members in the youngest age quartile (<13.2 years) and fell with increasing age to 4% in those >40.7 years of age (P = 0.03). ICAs ≥10 JDF U combined with IAAs gave a risk of 84% (P = 0.03 compared with IAA−), and ICAs ≥10 JDF U combined with GAD antibodies gave a risk of 61% (P = 0.018). The risk for ICAs >10 JDF U with antibodies to 37-kDa antigen was 76% (P < 0.0001). Risk increased with the number of autoantibodies, from 8% for ICAs alone to 88% with >3 autoantibodies (14 cases detected) (P < 0.0001). The increased risk associated with multiple antibodies was observed independent of age. The median time to diagnosis in those with antibodies to 37- and/or 40-kDa antigen was 1.5 years, compared with 7.2 years in those with IAAs and GAD antibodies in the absence of antibodies to 37/40 kDa. The intensity and range of the autoantibody response offers better overall prediction of diabetes than any single autoantibody specificity, although antibodies to 37-/40-kDa antigens may prove to be useful markers of early clinical onset. We found that 78% of future cases of IDDM in ICA+ relatives came from the 27% with multiple autoantibodies and estimate that 88% of individuals within this category will need insulin treatment within 10 years. We propose a simple predictive strategy based on these observations.


The Lancet | 1990

Quantification of islet-cell antibodies and prediction of insulin-dependent diabetes

Ezio Bonifacio; Marion Shattock; Betty M. Dean; G. F. Bottazzo; P.M. Bingley; E. A. M. Gale; David B. Dunger

The sensitivity and predictive value of islet-cell antibodies (ICA) for the future onset of insulin-dependent diabetes mellitus (IDDM) were determined in 719 first-degree relatives of IDDM patients. ICA were quantified in Juvenile Diabetes Foundation (JDF) units, by indirect immunofluorescence in serum samples taken during prospective follow-up of up to 10.5 years. The threshold of ICA detection was 4 JDF units. ICA were detected in the first sample of 26 (3.3%) of the relatives, compared with 12 (2.2%) of 540 controls (298 blood donors and 242 healthy children). ICA were detected in follow-up samples from a further 14 relatives. IDDM developed in 14 (35%) of the 40 relatives with detectable ICA at any time and in 2 (0.3%) relatives without detectable ICA. In all 5 relatives with peak ICA levels above 80 JDF units IDDM developed within follow-up of 7 years; survival without IDDM at 10 years was 27% among relatives with peak ICA levels of 20-80 JDF units and 82% for peak ICA levels of 4-20. The predictive value for IDDM development within 10 years ranged from 40% (threshold 4 JDF units) to 100% (80 JDF units) and the sensitivity from 31% (80 JDF units) to 88% (4 JDF units).


Journal of Clinical Investigation | 2004

Mature high-affinity immune responses to (pro)insulin anticipate the autoimmune cascade that leads to type 1 diabetes

Peter Achenbach; Kerstin Koczwara; Annette Knopff; Heike E. Naserke; Anette-G. Ziegler; Ezio Bonifacio

Children at risk for type 1 diabetes can develop early insulin autoantibodies (IAAs). Many, but not all, of these children subsequently develop multiple islet autoantibodies and diabetes. To determine whether disease progression is reflected by autoantibody maturity, IAA affinity was measured by competitive radiobinding assay in first and subsequent IAA-positive samples from children followed from birth in the BABYDIAB cohort. IAA affinity in first positive samples ranged from less than 10(6) l/mol to more than 10(11) l/mol. High affinity was associated with HLA DRB1*04, young age of IAA appearance, and subsequent progression to multiple islet autoantibodies or type 1 diabetes. IAA affinity in multiple antibody-positive children was on average 100-fold higher than in children who remained single IAA positive or became autoantibody negative. All high-affinity IAAs required conservation of human insulin A chain residues 8-13 and were reactive with proinsulin. In contrast, most lower-affinity IAAs were dependent on COOH-terminal B chain residues and did not bind proinsulin. These data are consistent with the concept that type 1 diabetes is associated with sustained early exposure to (pro)insulin in the context of HLA DR4 and show that high-affinity proinsulin-reactive IAAs identify children with the highest diabetes risk.


Diabetologia | 1995

Islet autoantibody markers in IDDM : risk assessment strategies yielding high sensitivity

Ezio Bonifacio; S. Genovese; S. Braghi; Elena Bazzigaluppi; Y. Lampasona; Polly J Bingley; L. Rogge; Matteo-Rocco Pastore; E. Bognetti; G. F. Bottazzo; E. A. M. Gale; Emanuele Bosi

SummaryIdentification of islet autoantigens offers the possibility that antibody tests other than islet cell antibodies may be used for assessing risk of insulin-dependent diabetes mellitus (IDDM). The aim of this study was to determine the combination of islet autoantibody markers that could identify most future cases of IDDM. Islet cell antibodies, antibodies to glutamic acid decarboxylase (GAD)65, 37,000/ 40,000 Mr islet tryptic fragments, carboxypeptidase-H, and islet cell autoantigen (ICA)69 were measured in sera from 100 newly-diagnosed IDDM patients, 27 individuals prior to onset of IDDM, and 83 control subjects. Islet cell antibodies were detected in 88 % of IDDM patients and 81 % with pre-IDDM, GAD65 antibodies in 70 % of IDDM patients and 89 % with pre-IDDM, and antibodies to 37,000/40,000 Mr islet tryptic fragments in 54 % of IDDM patients and in 48 % with pre-IDDM. The latter were found only in conjunction with islet cell antibodies and were more frequent in young onset cases. All 20 IDDM patients and the 3 pre-IDDM subjects who had islet cell antibodies without GAD65 antibodies had antibodies to 37,000/40,000 Mr islet tryptic fragments, and all but one had disease onset before age 15 years. No sera strongly immunoprecipitated in vitro translated ICA69 or carboxypeptidase-H; 4 % of patients had anti-ICA69 and 11 % anti-carboxypeptidase-H levels above those of the control subjects. The findings suggest that none of the single antibody specificities are as sensitive as islet cell antibodies, but that a combination of GAD65 antibodies and antibodies to 37,000/40,000 Mr islet tryptic fragments has the potential to identify more than 90 % of future cases of IDDM. Such a strategy could eventually replace islet cell antibodies in population screening for IDDM risk assessment.


Diabetologia | 1998

IA-2 antibodies - a sensitive marker of IDDM with clinical onset in childhood and adolescence

K. Savola; Ezio Bonifacio; Petri Kulmala; Paula Vähäsalo; Jukka Karjalainen; Eva Tuomilehto-Wolf; Meriläinen J; Hans K. Åkerblom; M. Knip

Summary To study the relationship of IA-2 antibodies (IA-2A) to other autoantibodies and genetic risk markers in insulin-dependent diabetes mellitus (IDDM), 758 children and adolescents younger than 15 years of age (mean age 8.4 years) with newly diagnosed diabetes were analysed for IA-2A, GAD antibodies (GADA) and insulin autoantibodies (IAA) with radiobinding assays, for islet cell antibodies (ICA) with immunofluorescence and for HLA DR alleles by serology. IA-2A were detected in 85.9 % of cases with no association with gender or age. An overwhelming majority of the patients (71.3 %) tested positive for three or more antibodies, and 90.7 % for at least two. Fifty-four subjects (7.1 %) had one antibody detectable, whereas only 2.1 % of the patients tested negative for all four. A higher proportion of patients was positive for IA-2A and/or GADA than for ICA alone (95.5 vs 84.2 %, p < 0.001). The prevalence and level of IA-2A were increased in cases carrying HLA DR4/non-DR3 compared with other DR combinations. The results indicate that almost all patients with newly diagnosed childhood IDDM can be identified by screening with these four autoantibodies. The combination of IA-2A and/or GADA had a higher sensitivity for IDDM than ICA alone. The close association between IA-2A and HLA DR4, the strongest single allele predisposing to IDDM, suggests that IA-2A may be a more specific marker of beta-cell destruction than GADA, which have been shown to associate with the DR3 allele and thyroid autoimmunity. [Diabetologia (1998) 41: 424–429]


Journal of Clinical Investigation | 2008

Islet transplantation in patients with autoimmune diabetes induces homeostatic cytokines that expand autoreactive memory T cells

Paolo Monti; Miriam Scirpoli; Paola Maffi; Nadia Ghidoli; Francesca De Taddeo; Federico Bertuzzi; Lorenzo Piemonti; Marika Falcone; Antonio Secchi; Ezio Bonifacio

Successful transplantation requires the prevention of allograft rejection and, in the case of transplantation to treat autoimmune disease, the suppression of autoimmune responses. The standard immunosuppressive treatment regimen given to patients with autoimmune type 1 diabetes who have received an islet transplant results in the loss of T cells. In many other situations, the immune system responds to T cell loss through cytokine-dependant homeostatic proliferation of any remaining T cells. Here we show that T cell loss after islet transplantation in patients with autoimmune type 1 diabetes was associated with both increased serum concentrations of IL-7 and IL-15 and in vivo proliferation of memory CD45RO(+) T cells, highly enriched in autoreactive glutamic acid decarboxylase 65-specific T cell clones. Immunosuppression with FK506 and rapamycin after transplantation resulted in a chronic homeostatic expansion of T cells, which acquired effector function after immunosuppression was removed. In contrast, the cytostatic drug mycophenolate mofetil efficiently blocked homeostatic T cell expansion. We propose that the increased production of cytokines that induce homeostatic expansion could contribute to recurrent autoimmunity in transplanted patients with autoimmune disease and that therapy that prevents the expansion of autoreactive T cells will improve the outcome of islet transplantation.


Diabetologia | 2005

Islet isolation for allotransplantation: variables associated with successful islet yield and graft function

Rita Nano; Barbara Clissi; Raffaella Melzi; Giliola Calori; Paola Maffi; Barbara Antonioli; Simona Marzorati; Luca Aldrighetti; Massimo Freschi; T. Grochowiecki; C. Socci; A. Secchi; V. Di Carlo; Ezio Bonifacio; Federico Bertuzzi

Aims/hypothesisEfficient islet isolation is an important prerequisite for successful clinical islet transplantation. Although progressively improved, islet yield and quality are, however, unpredictable and variable and require standardisation.MethodsSince 1989 we have processed 437 pancreases using the automated method. The donor characteristics, pancreas procurement, and digestion and purification procedures including a wide enzyme characterisation of these pancreases were analysed and correlated with islet yield and transplant outcome.ResultsBy univariate analysis, islet yield was significantly associated with donor age (r=0.16; p=0.0009), BMI (r=0.19; p=0.0004), good pancreas condition (p=0.0031) and weight (r=0.15; p=0.0056), total collagenase activity (r=0.22; p=0.0001), adjusted collagenase activity/mg (r=0.18; p=0.0002), collagenase activity/solution volume (r=0.18; p=0.0002) and neutral protease activity/solution volume (r=0.14; p=0.0029). A statistically significant contribution to the variability of islet yield in a multivariate analysis performed on donor variables was found for donor BMI (p=0.0008). In a multivariate analysis performed on pancreas variables a contribution was found for pancreas weight (p=0.0064), and for a multivariate analysis performed on digestion variables we found a contribution for digestion time (p=0.0048) and total collagenase activity (p=0.0001). Twenty-four patients with type 1 diabetes received single islet preparations from single donors. In these patients, multivariate analyses showed that the reduction in insulin requirement was significantly associated with morphological aspects of islets (p=0.0010) and that 1-month C-peptide values were associated with islet purity (p=0.0071).Conclusions/interpretationThese data provide baseline donor, digestion and purification selection criteria for islet isolation using the automated method and indicate that the morphological aspect may be a clinically relevant measure of islets on which the decision for transplant can be based.


Journal of the American College of Cardiology | 1990

Novel organ-specific circulating cardiac autoantibodies in dilated cardiomyopathy

A. L. P. Caforio; Ezio Bonifacio; James T. Stewart; Danilo Neglia; Oberdan Parodi; Gian Franco Bottazzo; William J. McKenna

To determine whether organ-specific cardiac autoantibodies are present in dilated cardiomyopathy, indirect immunofluorescence on human heart and skeletal muscle was used to test sera from 200 normal subjects and from 65 patients with dilated cardiomyopathy, 41 with chronic heart failure due to myocardial infarction and 208 with other cardiac disease. Three immunofluorescence patterns were observed: diffuse cytoplasmic on cardiac tissue only (organ-specific), fine striational on cardiac and, to a lesser extent, skeletal muscle (cross-reactive 1) and broad striational on both cardiac and skeletal muscle (cross-reactive 2). Cardiac specificity of the cytoplasmic pattern was confirmed by absorption studies with homogenates of human atrium, skeletal muscle and rat liver. Organ-specific cardiac antibodies (IgG; titer range 1/10 to 1/80) were more frequent in patients with dilated cardiomyopathy (17 [26%] of 65) than in those with other cardiac disease (2 [1%] of 208, p less than 0.0001) or heart failure (0 [0%] of 41, p less than 0.001) or in normal subjects (7 [3.5%] of 200, p less than 0.0001). Organ-specific cardiac antibodies were more common in patients with dilated cardiomyopathy and in those with fewer symptoms (8 of 15 in New York Heart Association functional class I versus 9 of 50 in classes II to IV, p less than 0.01) and more recent (less than 2 years) onset of disease (9 of 19 versus 8 of 46, p less than 0.02).(ABSTRACT TRUNCATED AT 250 WORDS)

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Emanuele Bosi

Vita-Salute San Raffaele University

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Vito Lampasona

Vita-Salute San Raffaele University

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Lorenzo Piemonti

Vita-Salute San Raffaele University

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Anne Eugster

Dresden University of Technology

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George S. Eisenbarth

University of Colorado Denver

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Paola Maffi

Vita-Salute San Raffaele University

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Elena Bazzigaluppi

Vita-Salute San Raffaele University

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Kerstin Koczwara

National Institutes of Health

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