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We aimed to study whether islet autoantibody type marks differential characteristics at the time of type 1 diabetes (T1D) diagnosis.We studied 711 children with newly diagnosed autoimmune T1D. We compared demographic (sex, age, race/ethnicity), clinical (pubertal development, BMI percentile, diabetic ketoacidosis [DKA]) and laboratory (glucose, hemoglobin A1c [HbA1c], C-peptide, tissue transglutaminase antibodies [tTGA], thyroglobulin antibodies, and thyroid peroxidase antibodies [TPOA]) characteristics by presence/absence of autoantibodies to insulin (IAA), GAD65 (GADA), or IA-2/ICA512 (IA-2A). Islet autoantibody titers were evaluated among the children positive for the relevant autoantibody type. We used multivariable analysis to adjust for potential confounders.IAA+ was statistically associated with younger age (p 0.0001) and lower HbA1c (p = 0.049) while Tanner stage, GADA status and number of positive islet autoantibodies were not significant in the multivariable model. GADA+ was associated with female sex (OR = 4.0, p = 0.002) and negatively with elevated tTGA titers (50 U/mL) (OR = 0.21, p = 0.026) but not with age, IAA status, IA-2A status, islet autoantibody number, or thyroid autoimmunity. None of the associations with IA-2A positivity was statistically significant in the multivariable analysis. In multivariable models, IAA titer was significantly associated with younger age (p = 0.006), DKA (p = 0.017) and higher tTGA levels (p = 0.002); GADA titer with female sex (p = 0.028), racial minority (p = 0.046) and TPOA positivity (p = 0.021); and IA-2A titer with older age (p = 0.001) and not being African American (p = 0.024).Islet autoantibody type is associated with differential characteristics at diagnosis of pediatric T1D. Longitudinal and mechanistic studies are needed to evaluate T1D endotypes by autoantibody type.

Type 1 diabetes mellitus (T1DM) is the archetypal example of a T cell-mediated autoimmune disease characterized by selective destruction of pancreatic β cells. The pathogenic equation for T1DM presents a complex interrelation of genetic and environmental factors, most of which have yet to be identified. On the basis of observed familial aggregation of T1DM, it is certain that there is a decided heritable genetic susceptibility for developing T1DM. The well-known association of T1DM with certain human histocompatibility leukocyte antigen (HLA) alleles of the major histocompatibility complex (MHC) was a major step toward understanding the role of inheritance in T1DM. Type 1 diabetes is a polygenic disease with a small number of genes having large effects (e.g., HLA) and a large number of genes having small effects. Risk of T1DM progression is conferred by specific HLA DR/DQ alleles [e.g., DRB1*03-DQB1*0201 (DR3/DQ2) or DRB1*04-DQB1*0302 (DR4/DQ8)]. In addition, the HLA allele DQB1*0602 is associated with dominant protection from T1DM in multiple populations. A concordance rate lower than 100% between monozygotic twins indicates a potential involvement of environmental factors on disease development. The detection of at least two islet autoantibodies in the blood is virtually pre-diagnostic for T1DM. The majority of children who carry these biomarkers, regardless of whether they have an a priori family history of the disease, will develop insulin-requiring diabetes. Facilitating pre-diagnosis is the timing of seroconversion which is most pronounced in the first 2 yr of life. Unfortunately the significant progress in improving prediction of T1DM has not yet been paralleled by safe and efficacious intervention strategies aimed at preventing the disease. Herein we summarize the chequered history of prediction and prevention of T1DM, describing successes and failures alike, and thereafter examine future trends in the exciting, partially explored field of T1DM prevention.

Aim To explore racial differences in adiponectin, and leptin and their relationship with islet autoimmunity in children with new-onset type 1 diabetes (T1D). Methods Medical records were reviewed from a cohort of new-onset clinically diagnosed T1D subjects matched by race, age, gender, and year of diagnosis. Sera were available for 156 subjects (77 African American (AA), 79 Caucasian (C), 48% male, age of 11.1 ± 3.8 yr) and assayed for adiponectin and leptin prior to (D0), 3, 5 d, and 2–4 months (M3) after insulin therapy and islet autoantibodies to GAD, IA2, insulin, and ICA were measured at onset. Results Adiponectin levels increased significantly following insulin therapy by day 5 (D5) (D0: 13.7 ± 7.2 vs. D5: 21.3 ± 9.9 µg/mL, p

Understanding the physiological processes that underlie autoimmune disorders and identifying biomarkers to predict their onset are two pressing issues that need to be thoroughly sorted out by careful thought when analyzing these diseases. Type 1 diabetes (T1D) is a typical example of such diseases. It is mediated by autoreactive cytotoxic CD4⁺ and CD8⁺ T-cells that infiltrate the pancreatic islets of Langerhans and destroy insulin-secreting β-cells, leading to abnormal levels of glucose in affected individuals. The disease is also associated with a series of islet-specific autoantibodies that appear in high-risk subjects (HRS) several years prior to the onset of diabetes-related symptoms. It has been suggested that T1D is relapsing-remitting in nature and that islet-specific autoantibodies released by lymphocytic B-cells are detectable at different stages of the disease, depending on their binding affinity (the higher, the earlier they appear). The multifaceted nature of this disease and its intrinsic complexity make this disease very difficult to analyze experimentally as a whole. The use of quantitative methods, in the form of mathematical models and computational tools, to examine the disease has been a very powerful tool in providing predictions and insights about the underlying mechanism(s) regulating its onset and development. Furthermore, the models developed may have prognostic implications by aiding in the enrollment of HRS into trials for T1D prevention. In this review, we summarize recent advances made in determining T- and B-cell involvement in T1D using these quantitative approaches and delineate areas where mathematical modeling can make further contributions in unraveling certain aspect of this disease.

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

To explore racial differences in adiponectin, and leptin and their relationship with islet autoimmunity in children with new-onset type 1 diabetes (T1D).Medical records were reviewed from a cohort of new-onset clinically diagnosed T1D subjects matched by race, age, gender, and year of diagnosis. Sera were available for 156 subjects (77 African American (AA), 79 Caucasian (C), 48% male, age of 11.1 ± 3.8 yr) and assayed for adiponectin and leptin prior to (D0), 3, 5 d, and 2-4 months (M3) after insulin therapy and islet autoantibodies to GAD, IA2, insulin, and ICA were measured at onset.Adiponectin levels increased significantly following insulin therapy by day 5 (D5) (D0: 13.7 ± 7.2 vs. D5: 21.3 ± 9.9 µg/mL, p0.0001), but no further significant increase from D5 to M3. At DO, AA had lower adiponectin levels (10.5 vs. 15.7 µg/mL, p = 0.01), were more often overweight than C (55 vs. 18%, BMI ≥ 85th‰) and fewer had positive autoantibodies (72 vs. 87%, p = 0.05). Racial differences in adipocytokines disappeared after adjustment for BMI. At M3, subjects with more number of positive autoantibodies had higher adiponectin levels (p = 0.043) and adiponectin/leptin ratio (ALR) (p = 0.01), and lower leptin levels (p = 0.016).Adiponectin levels increased acutely with insulin therapy. Significantly lower adiponectin levels in AA were related to greater adiposity and not race. These pilot data showing those with the fewest autoantibodies had the lowest adiponectin levels, supporting the concept that insulin-resistant subjects may present with clinical T1D at earlier stages of β-cell damage.

This and the following article address the current controversies for the application of studies to predict and prevent type 1 diabetes, based on currently available methodologies. This article outlines the position of the proponent; the following article outlines the position of the opponent. The intent is to illuminate by intellectual debate.

Morran MP, McInerney MF, Pietropaolo M. Innate and adaptive autoimmunity in type 1 diabetes. Pediatric Diabetes 2008: 9: 152–161. Michael P Morran, Marcia F McInerney and Massimo Pietropaolo Laboratory of Immunogenetics, The Brehm Center for Type 1 Diabetes Research and Analysis, Division of Metabolism, Endocrinology & Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA; and Department of Medicinal and Biological Chemistry, College of Pharmacy, University of Toledo, Toledo, OH, USA