Related Experiment Video
Updated: Apr 30, 2026

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
Distribution of C-peptide and its determinants in North American children at risk for type 1 diabetes
Ping Xu1, Xiaoning Qian2, Desmond A Schatz3
1Pediatrics Epidemiology Center, College of Medicine, University of South Florida, Tampa, FL ping.xu@epi.usf.edu.
Insights
Age, BMI, and sex influence C-peptide levels in North American children at risk for type 1 diabetes (T1D). These factors are crucial for establishing C-peptide percentiles in T1D prevention trials.
Area of Science:
- Endocrinology
- Pediatrics
- Immunology
Background:
- Type 1 diabetes (T1D) risk assessment in children requires understanding normal C-peptide levels.
- C-peptide, a marker of insulin production, varies with age, body mass index (BMI), and sex.
Purpose of the Study:
- To establish normative basal and stimulated C-peptide percentiles for North American children and adolescents at risk for T1D.
- To identify demographic and clinical factors influencing C-peptide distribution within the Diabetes Prevention Trial-Type 1 (DPT-1) cohort.
Main Methods:
- Analysis of 582 participants (aged 4-18) from the DPT-1 trials.
- Oral glucose tolerance tests (OGTT) conducted at baseline and every 6 months over 5 years.
- Conditional quantile regression used to model C-peptide percentiles against age, BMI Z-score (BMIZ), and sex.
Main Results:
- Basal and stimulated C-peptide levels significantly increased with age and BMIZ (P < 0.05).
- Age and BMIZ showed a greater impact on upper C-peptide quartiles.
- Girls exhibited higher stimulated C-peptide levels than boys at similar ages and BMIZ (P < 0.05).
- HLA type and autoantibody profiles did not significantly affect C-peptide distribution after adjustments.
Conclusions:
- Age-, sex-, and BMIZ-specific C-peptide percentiles can be reliably estimated for at-risk pediatric populations.
- These established percentiles can serve as valuable assessment tools for T1D prevention trials.
Objective:
To determine basal and stimulated C-peptide percentiles in North American children and adolescents at risk for type 1 diabetes (T1D) and to examine factors associated with this distribution in the Diabetes Prevention Trial-Type 1 (DPT-1).
Research Design And Methods:
We included 582 subjects aged 4-18 years at randomization in the DPT-1 trials. A 2-h oral glucose tolerance test (OGTT) was performed at baseline and every 6 months during the 5-year follow-up period. The percentile values of C-peptide after baseline OGTT were estimated according to age, BMI Z score (BMIZ), and/or sex categories. Conditional quantile regression was used to examine the relationship between C-peptide percentiles and various independent variables.
Results:
The basal and stimulated C-peptide levels increased significantly as age and BMIZ increased (P < 0.05). Both age and BMIZ had a stronger impact on the upper quartile of C-peptide distributions than the lower quartile. Sex was only significantly associated with stimulated C-peptide. Higher stimulated C-peptide levels were generally observed in girls compared with boys at the same age and BMIZ (P < 0.05). HLA type and number of positive antibodies and antibody titers (islet cell antibody [ICA], insulin autoantibody, GAD65A, and ICA512A) were not significantly associated with C-peptide distribution after adjustment for age, BMIZ, and sex.
Conclusions:
Age-, sex-, and BMIZ-specific C-peptide percentiles can be estimated for North American children and adolescents at risk for T1D. They can be used as an assessment tool that could impact the recommendations in T1D prevention trials.
Related Concept Videos
Type I Diabetes I: Introduction
Type I Diabetes II: Pathophysiology
Cell Specific Gene Expression
Diabetes Mellitus: Type 2 and Gestational
Diabetes Mellitus: Overview and Type I Subtype
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
Type II Diabetes I: Introduction

