Distribution of C-Peptide and Its Determinants in North American Children at Risk for Type 1 Diabetes

被引:8
作者
Xu, Ping [1 ]
Qian, Xiaoning [1 ]
Schatz, Desmond A. [2 ]
Cuthbertson, David [1 ]
Krischer, Jeffrey P. [1 ]
机构
[1] Univ S Florida, Coll Med, Pediat Epidemiol Ctr, Tampa, FL 33606 USA
[2] Univ Florida, Coll Med, Dept Pediat, Gainesville, FL USA
关键词
ENVIRONMENTAL-FACTORS; INSULIN-SECRETION; GLUCOSE; AGE; AUTOIMMUNITY; PROGRESSION; ANTIBODIES; IDDM;
D O I
10.2337/dc13-2603
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:1959 / 1965
页数:7
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