Distribution of C-peptide and its determinants in North American children at risk for type 1 diabetes

Genetic Associations with C-peptide Levels before Type 1 Diabetes Diagnosis in At-Risk Relatives

OBJECTIVE

We sought to determine whether the type 1 diabetes genetic risk score-2 (T1D-GRS2) and single nucleotide polymorphisms (SNPs) are associated with C-peptide preservation before type 1 diabetes diagnosis.

METHODS

We conducted a retrospective analysis of 713 autoantibody-positive participants who developed type 1 diabetes in the TrialNet Pathway to Prevention Study who had T1DExomeChip data. We evaluated the relationships of 16 known SNPs and T1D-GRS2 with area under the curve (AUC) C-peptide levels during oral glucose tolerance tests conducted in the 9 months before diagnosis.

RESULTS

Higher T1D-GRS2 was associated with lower C-peptide AUC in the 9 months before diagnosis in univariate (β=-0.06, P<0.0001) and multivariate (β=-0.03, P=0.005) analyses. Participants with the JAZF1 rs864745 T allele had lower C-peptide AUC in both univariate (β=-0.11, P=0.002) and multivariate (β=-0.06, P=0.018) analyses.

CONCLUSIONS

The type 2 diabetes-associated JAZF1 rs864745 T allele and higher T1D-GRS2 are associated with lower C-peptide AUC prior to diagnosis of type 1 diabetes, with implications for the design of prevention trials.

Changes in C-Peptide Values in Children with Type 1 Diabetes - a Three-Year Study

Background: C-peptide is used as an important indicator of residual insulin secretion in patients diagnosed with type 1 diabetes mellitus (T1DM) and treated with insulin. Aim:We have aimed to monitor the serum C-peptide (CP) levels during the first three years after diagnosis of T1DM in a cohort of children admitted to the Diabetes Department of "M. S. Curie" Emergency Clinical Hospital for Children, Bucharest, Romania, and to investigate the factors that could influence the rate of decline in its secretion. Method:We conducted a longitudinal, retrospective cohort study on a group of 215 children and adolescents who met the inclusion criteria and were monitored in our clinic over the course of a long period of time. We analyzed several parameters, including fasting serum CP values at diagnosis and yearly throughout T1DM evolution, the severity of diabetic ketoacidosis (DKA) at onset, HbA1c at diagnosis, family history of T1DM/T2DM, patient gender and presence of concurrent acute infectious disease at diagnosis, with the purpose of evaluating their influence on the preservation of endogenous insulin secretion. Based on serum CP value measured three years after T1DM onset, patients were divided into two groups: group 1, with low insulin residual secretion (CP < 0.6 ng/mL), and group 2, with preserved insulin residual secretion (CP ≥0.6 ng/mL) Results:At the moment of diagnosis, patients in group 1 were younger than those in group 2 (6.03 ± 3.54 years and 9.76 ± 2.75 years, respectively). The proportion of children with diabetic ketoacidosis (DKA) at onset was greater in group 1 (68% of patients) than group 2, in which the majority of subjects (60%) did not have DKA. The C-peptide value at diagnosis was significantly lower (0.55 ± 0.36 ng/mL) among patients in group 1 than those in group 2 (1.11 ± 0.59 ng/mL). In group 1 there was a higher proportion of patients (65%) with acute infectious disease at onset. Family history of T1DM/T2DM was associated with a more rapid decline in CP values. Our data showed no correlation between CP levels monitored for three years and HbA1c at diagnosis and no association with the gender of each patient. Conclusion:Patients with higher CP concentrations at diagnosis maintained increased values (> 0.6 ng/mL) three years after disease onset. Younger children had a faster decline of CP secretion during the first three years following diabetes diagnosis. In patients with severe symptoms (DKA) and associated infectious disease at onset, a risk of rapid CP decline was found.

Astragalus polysaccharides alleviate type 1 diabetes via modulating gut microbiota in mice

Type 1 diabetes (T1D) is a serious health problem that needs to be addressed worldwide. Astragalus polysaccharides (APS), the main chemical components of Astragali Radix, have anti-diabetic activity. As most plant polysaccharides are difficult to digest and absorb, we hypothesised that APS exert hypoglycaemic effects through the gut. This study intends to investigate the modulation of T1D associated with gut microbiota by neutral fraction of Astragalus polysaccharides (APS-1). T1D mice were induced with streptozotocin and then treated with APS-1 for 8 weeks. Fasting blood glucose levels were decreased and the insulin levels were increased in T1D mice. The results demonstrated that APS-1 improved gut barrier function by regulating ZO-1, Occludin and Claudin-1 expression, and reconstructed gut microbiota by increasing the relative abundance of Muribaculum, Lactobacillus and Faecalibaculum. In addition, APS-1 significantly increased the levels of acetic acid, propionic acid, butyric acid and inhibited the expression of pro-inflammatory factors IL-6 and TNF-α in T1D mice. Further exploration revealed that APS-1 alleviation of T1D may be associated with short-chain fatty acids (SCFAs)-producing bacteria, and that SCFAs binds to GPRs and HDACs proteins and modulate the inflammatory responses. In conclusion, the study supports the potential of APS-1 as a therapeutic agent for T1D.

Co Q10 improves vascular reactivity in male diabetic rats by enhancing insulin sensitivity and antioxidant effect

Oxidative stress is the main player in the development of diabetic vascular complications. Co-Q10 is a natural antioxidant present in the body and in many foods. This study was designed to evaluate the effect of Co-Q10 administration to improve vascular complications and increase insulin sensitivity in diabetic rats. Fifty male rats were divided into five groups: control, diabetic untreated, diabetic insulin-treated, diabetic Co-Q10-treated, and diabetic combined-treated groups. After 8 weeks, blood pressure and vascular reactivity to NE and ACh, fasting glucose, insulin, C-peptide, MDA, TAC, HbA1c, and the HOMA-IR were measured. Diabetes increased fasting glucose, HbA1c, HOMA-IR, MDA, blood pressure, and decreased TAC and vascular reactivity. Ttreatment with insulin or Co-Q10 improved glycemic parameters and increasing antioxidant levels compared to diabetic group. Combined Co-Q10 with insulin was found to increase insulin sensitivity and decrease its resistance, which helps to decrease insulin doses in diabetic patients and reduce its side effects.

The association of physical activity to oral glucose tolerance test outcomes in multiple autoantibody positive children: The TEDDY Study

OBJECTIVE

To examine the association of physical activity (PA), measured by accelerometry, to hemoglobin AIC (HbA1c) and oral glucose tolerance test (OGTT) outcomes in children who were multiple persistent confirmed autoantibody positive for type 1 diabetes (T1D).

METHODS

The Environmental Determinants of Diabetes in the Young (TEDDY) multinational study followed children from birth. Children ≥3 years of age who were multiple persistent confirmed autoantibody positive were monitored by OGTTs every 6 months. TEDDY children's PA was measured by accelerometry beginning at 5 years of age. We examined the relationship between moderate plus vigorous (mod + vig) PA, HbA1c, and OGTT in 209 multiple autoantibody children who had both OGTT and PA measurements.

RESULTS

Mod + vig PA was associated with both glucose and C-peptide measures (fasting, 120-min, and AUC); higher mod + vig PA was associated with a better OGTT response primarily in children with longer duration of multiple autoantibody positivity. Mod + vig PA also interacted with child age; lower mod + vig PA was associated with a greater increase in C-peptide response across age. Mod + vig PA was not related to fasting insulin, HOMA-IR or HbA1c.

CONCLUSIONS

The OGTT is the gold standard for diabetes diagnosis and is used to monitor those at high risk for T1D. We found higher levels of mod + vig PA were associated with better OGTT outcomes in children ≥5 years of age who have been multiple autoantibody positive for longer periods of time. Physical activity should be the focus of future efforts to better understand the determinants of disease progression in high-risk children.

Factors Associated With the Decline of C-Peptide in a Cohort of Young Children Diagnosed With Type 1 Diabetes

CONTEXT

Understanding factors involved in the rate of C-peptide decline is needed to tailor therapies for type 1 diabetes (T1D).

OBJECTIVE

Evaluate factors associated with rate of C-peptide decline after a T1D diagnosis in young children.

DESIGN

Observational study.

SETTING

Academic centers.

PARTICIPANTS

A total of 57 participants from the Environmental Determinants of Diabetes in the Young (TEDDY) study who were enrolled at 3 months of age and followed until T1D, and 56 age-matched children diagnosed with T1D in the community.

INTERVENTION

A mixed meal tolerance test was used to measure the area under the curve (AUC) C-peptide at 1, 3, 6, 12, and 24 months postdiagnosis.

OUTCOME

Factors associated with rate of C-peptide decline during the first 2 years postdiagnosis were evaluated using mixed effects models, adjusting for age at diagnosis and baseline C-peptide.

RESULTS

Adjusted slopes of AUC C-peptide decline did not differ between TEDDY subjects and community controls (P = 0.21), although the former had higher C-peptide baseline levels. In univariate analyses combining both groups (n = 113), younger age, higher weight and body mass index z-scores, female sex, an increased number increased number of islet autoantibodies, and IA-2A or ZnT8A positivity at baseline were associated with a higher rate of C-peptide loss. Younger age, female sex, and higher weight z-score remained significant in multivariate analysis (all P < 0.02). At 3 months after diagnosis, higher HbA1c became an additional independent factor associated with a higher rate of C-peptide decline (P < 0.01).

CONCLUSION

Younger age at diagnosis, female sex, higher weight z-score, and HbA1c were associated with a higher rate of C-peptide decline after T1D diagnosis in young children.

Capturing residual beta cell function in type 1 diabetes

Since the 1970s, C-peptide has been used as a surrogate marker for monitoring the progression of type 1 and type 2 diabetes and to determine the effects of interventions designed to preserve or improve residual beta cell function. C-peptide measurement is a well-established surrogate of residual beta cell activity and of clinical significance as it is associated with HbA_1c, risk for microvascular complications and the incidence of hyperglycaemia in longitudinal studies. Measurement of C-peptide after a mixed meal tolerance test is considered the gold standard of measuring beta cell function in type 1 diabetes, but the method is laborious and inconvenient. In this issue of Diabetologia, Wentworth et al ( https://doi.org/10.1007/s00125-018-4722-z ) report an algorithm for estimating C-peptide (CP_EST) based on six routine clinical measures. These do not include stimulated C-peptide measurement and outperform other prevailing algorithms for estimating residual beta cell function. Going forward it is very likely that this new algorithm will serve as a simple measure of beta cell function in routine practice and as a more acceptable primary outcome measure in future trials of disease-modifying therapies.

Prognostic Classification Factors Associated With Development of Multiple Autoantibodies, Dysglycemia, and Type 1 Diabetes-A Recursive Partitioning Analysis

OBJECTIVE

To define prognostic classification factors associated with the progression from single to multiple autoantibodies, multiple autoantibodies to dysglycemia, and dysglycemia to type 1 diabetes onset in relatives of individuals with type 1 diabetes.

RESEARCH DESIGN AND METHODS

Three distinct cohorts of subjects from the Type 1 Diabetes TrialNet Pathway to Prevention Study were investigated separately. A recursive partitioning analysis (RPA) was used to determine the risk classes. Clinical characteristics, including genotype, antibody titers, and metabolic markers were analyzed.

RESULTS

Age and GAD65 autoantibody (GAD65Ab) titers defined three risk classes for progression from single to multiple autoantibodies. The 5-year risk was 11% for those subjects >16 years of age with low GAD65Ab titers, 29% for those ≤16 years of age with low GAD65Ab titers, and 45% for those subjects with high GAD65Ab titers regardless of age. Progression to dysglycemia was associated with islet antigen 2 Ab titers, and 2-h glucose and fasting C-peptide levels. The 5-year risk is 28%, 39%, and 51% for respective risk classes defined by the three predictors. Progression to type 1 diabetes was associated with the number of positive autoantibodies, peak C-peptide level, HbA1c level, and age. Four risk classes defined by RPA had a 5-year risk of 9%, 33%, 62%, and 80%, respectively.

CONCLUSIONS

The use of RPA offered a new classification approach that could predict the timing of transitions from one preclinical stage to the next in the development of type 1 diabetes. Using these RPA classes, new prevention techniques can be tailored based on the individual prognostic risk characteristics at different preclinical stages.