Baseline heterogeneity in glucose metabolism marks the risk for type 1 diabetes and complicates secondary prevention

AIMS

Non-diabetic children with multiple islet autoantibodies were recruited to a secondary prevention trial. The objective was to determine the predictive value of baseline (1) HbA1c and metabolic variables derived from intravenous (IvGTT) and oral glucose tolerance tests (OGTT), (2) insulin resistance and (3) number, type and levels of islet autoantibodies, for progression to type 1 diabetes.

METHODS

Children [n = 50, median 5.1 (4-17.9) years] with autoantibodies to glutamate decarboxylase (GAD65A) and at least one of insulinoma-associated protein 2 (IA-2A), insulin or ZnT8 transporter (ZnT8RA, ZnT8WA, ZnT8QA) were screened with IvGTT and OGTT and followed for a minimum of 2 years.

RESULTS

Baseline first phase insulin response (sum of serum-insulin at 1 and 3 min during IvGTT; FPIR) ≤3 μU/mL [HR 4.42 (CI 1.40-14.0) p = 0.011] and maximal plasma glucose ≥11.1 mmol/L measured at 30, 60 and/or 90 min during OGTT [HR 6.13 (CI 1.79-21.0) p = 0.0039] were predictors for progression to diabetes. The combination of FPIR from IvGTT and maximal plasma glucose during OGTT predicted diabetes in 10/12 children [HR 9.17 (CI 2.0-42.0) p = 0.0043]. High-level IA-2A, but not number of autoantibodies, correlated to dysglycemia during OGTT (p = 0.008) and to progression to type 1 diabetes [HR 4.98 (CI 1.09-22.0) p = 0.039].

CONCLUSIONS

Baseline FPIR, maximal plasma glucose ≥11.1 at 30, 60 or 90 min during OGTT and high-level IA-2A need to be taken into account when randomizing islet autoantibody positive non-diabetic children to secondary prevention.

Biomarkers related to severe hypoglycaemia and lack of good glycaemic control in ACCORD

AIMS/HYPOTHESIS

In patients with diabetes, intensive glycaemic control reduces microvascular complications. However, severe hypoglycaemia frequently complicates intensive glycaemic control. Blood biomarkers that predict successful intensification of glycaemic control in patients with type 2 diabetes without the development of severe hypoglycaemia would advance patient care. In patients who received intensive treatment for type 2 diabetes from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study, we hypothesised that insulin deficiency and islet autoantibodies would be associated with severe hypoglycaemia and failure to achieve near-normal glycaemia (HbA1c <6.0% [42 mmol/mol]).

METHODS

A nested case-control design was used. Cases (n = 326) were defined as participants having severe hypoglycaemia and failure to achieve an HbA1c level of <6.0% (42 mmol/mol) prior to the ACCORD transition or death. Controls (n = 1,075) were those who achieved an HbA1c level of <6.0% (42 mmol/mol) prior to the ACCORD transition or death without severe hypoglycaemia. Each case was matched (for race, age and BMI) by up to four controls. Baseline insulin deficiency (fasting C-peptide ≤0.15 nmol/l) and islet autoantibodies (glutamic acid decarboxylase [GAD], tyrosine phosphatase-related islet antigen 2 [IA2], insulin [IAA] and zinc transporter 8 [ZnT8]) were measured. Conditional logistic regression with and without adjustment for age, BMI and diabetes duration was used on the full cohort and after removal of patients who died and their respective controls.

RESULTS

Severe hypoglycaemia accompanied by an inability to achieve an HbA1c level of <6.0% (42 mmol/mol) was associated with insulin deficiency (adjusted OR 23.2 [95% CI 9.0, 59.5], p < 0.0001), the presence of IAA autoantibodies or baseline insulin use (adjusted OR 3.8 [95% CI 2.7, 5.3], p < 0.0001), GAD autoantibodies (OR 3.9 [95% CI 2.5, 6.0], p < 0.0001), IA2 autoantibodies (OR 16.7 [95% CI 3.9, 71.6], p = 0.0001) and ZnT8 autoantibodies (adjusted OR 3.9 [95% CI 1.2, 12.4], p = 0.02).

CONCLUSIONS

C-peptide and islet autoantibodies may serve as biomarkers to predict the risk of severe hypoglycaemia during intensification of type 2 diabetes treatment.

TRIAL REGISTRATION

ClinicalTrials.gov NCT00000620 (original ACCORD study).

[Obesity and risk factors for metabolic syndrome in young people with type 1 diabetes]

Changes in the clinical presentation of diabetes mellitus in childhood and adolescence associated with obesity have resulted in an overlap of the two most common types of diabetes with a greater clinical heterogeneity. In order to characterize the type of diabetes at onset and assess the effect of obesity, 50 children with diabetes were studied. The patients were divided into two groups according to their nutritional status at diagnosis (over-weight/obese vs. normal weight). Insulin reserve was evaluated by measuring basal C-peptide and stimulated C-peptide in response to a mixed meal (MMTT) as well as HLA-DQB1 genotype, antibodies, and family history of risk factors for metabolic disease. Of all 50 patients, 38% was overweight/obese, 84% had a positive family history of metabolic syndrome, 82% had positive antibodies, and 100% were positive for the high-risk HLA-DQB1 genotype. No significant differences were found in fasting C-peptide or glycemic index/C-peptide levels between the two groups. In the overweight/obese group C-peptide response to MMTT showed higher levels at 60 and 120 minutes (p = 0.02 and 0.03) and the area under the curve for C-peptide was also higher (1.77 ng / ml vs. 5.5 ng/ ml, p = 0.0007) than in the normal-weight group. In conclusion, overweight/obese patients with type 1A diabetes had a greater pancreatic reserve, suggesting that nutritional status may accelerate disease onset.

Collecting high-quality pancreatic tissue for experimental study from organ donors with signs of β-cell autoimmunity

BACKGROUND

The aim of this study was to create a new research strategy to obtain high-quality pancreatic tissues from subjects with preclinical or clinical type 1 diabetes, which would open up new avenues for studying the mechanisms of the β-cell damaging process in humans.

RESEARCH DESIGN AND METHODS

A nationwide collaboration network (the PanFin network) was established in Finland to start an on-call screening of diabetes-associated autoantibodies from deceased organ donors and subsequent processing of pancreases from autoantibody-positive donors. This protocol was integrated into the national organ transplantation procedure.

RESULTS

Only a few modifications were needed to the normal transplantation practices. One additional blood sample was obtained from donors for autoantibody analyses, the transplantation team was informed about the autoantibody result and the pancreas of autoantibody-positive donors was transported to the core laboratory. Altogether, 307 donors were screened and 22 (7.2%) were positive for at least one autoantibody and 3 tested positive for two or more autoantibodies out of the five tested (islet cell antibodies, insulin autoantibodies and autoantibodies to glutamic acid decarboxylase, islet antigen 2 and zinc transporter 8). The quality of collected pancreatic tissue was superior to that from autopsies and allowed the detection of both RNA and proteins.

CONCLUSIONS

The study protocol was proven feasible to be carried out on a nationwide scale. It did not interfere with the normal transplantation activities and provided valuable tissue material for research.

The diagnostic value of zinc transporter 8 autoantibody (ZnT8A) for type 1 diabetes in Chinese

BACKGROUND

Zinc transporter-8 (ZnT8) was recently identified as a novel autoantigen in human type 1 diabetes (T1D). Autoantibody to ZnT8 (ZnT8A) was detected in up to 80% of patients with new-onset T1D and 26% of patients with T1D otherwise classified as negative on the basis of existing markers. As no data of ZnT8A in Chinese have been reported, we aim to evaluate the utility of ZnT8A for diagnosis of autoimmune T1D in Chinese relative to other autoantibody markers.

METHODS

Radioligand binding assays were performed on 539 T1D sera using human ZnT8 carboxyterminal 325Arg construct or a dimer incorporating 325Arg and 325Trp alongside antibodies to glutamic acid decarboxylase (GADA) or insulinoma-associated protein 2 (IA-2A). The antigenic specificity was analysed in the context of clinical characteristics of the patients.

RESULTS

ZnT8A were present in 24.1% (130 of 539) of patients with T1D versus 1.8% (10 of 555; P < 0.001) in type 2 diabetes. At diagnosis, ZnT8A and IA-2A were less prevalent in Chinese subjects with T1D than in Caucasian populations (both P < 0.001) but similar to Japanese. The diagnostic sensitivity of combined GADA, IA-2A and ZnT8A measurements reached 65.5% with ZnT8A detected in 13.5% (29 of 215) of GADA and/or IA-2A-negative subjects. ZnT8A prevalence was lower in older and fatter patients. ZnT8A+ alone patients were distinguished from Ab- ones (P < 0.05-0.001) on the basis of higher insulin requirement and lower systolic blood pressure level.

CONCLUSION

ZnT8A is an independent marker for T1D in Chinese and combined with GADA and IA-2A enhances diagnostic sensitivity. ZnT8A may be associated with different clinical phenotypes than GADA or IA-2A.

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

AIMS/HYPOTHESIS

To compare the predictive characteristics of autoantibodies to GAD (GADA) and islet antigen 2 (IA-2A) for type 1 diabetes between siblings of affected children and children from the general population.

METHODS

Seven-hundred and fifty-five siblings and 3,475 population-derived children were screened for GADA and IA-2A and observed for type 1 diabetes for 15 years. Sensitivity and cumulative disease risks from GADA, IA-2A and double positivity were compared between the cohorts.

RESULTS

Fifty-six siblings (7.4%) tested positive for GADA, 39 (5.2%) for IA-2A and 29 (3.8%) for both autoantibodies. Thirty-four population derived participants (1.0%) had GADA, 22 (0.6%) had IA-2A and 7 (0.2%) had double positivity. Fifty-one siblings (6.8%) and 15 participants in the population cohort (0.4%) progressed to type 1 diabetes. The predictive sensitivity of GADA was 68% (95% CI 53-81%) among siblings and 50% (95% CI 23-77%) in the general population, while the corresponding values were 58 (95% CI 43-72%) and 43% (95% CI 18-71%) for IA-2A. Double-autoantibody positivity had a sensitivity of 48% (95% CI 34-63%) among siblings and 36% (95% CI 13-65%) in the population cohort. Cumulative disease risks from GADA, IA-2A and double positivity were, respectively, 61% (95% CI 48-74%), 74% (95% CI 61-88%) and 83% (95% CI 69-97%) among siblings compared with those of 24% (95% CI 9-38%), 32% (95% CI 12-51%) and 86% (95% CI 60-100%) in the general population.

CONCLUSIONS/INTERPRETATION

There were no significant differences in the disease-predictive sensitivity of GADA and IA-2A positivity or their combination between siblings and the population cohort, whereas, for each antibody, positivity was associated with a higher cumulative disease risk among siblings. Double-antibody positivity conferred similar cumulative disease risk both among siblings and in the general population.