<b>Subc</b><b>lasses of </b><b>glucose trajectories in early childhood stratified </b><b>the </b><b>risk of abnormal glucose tolerance in adolescence and young adulthood</b>
posted on 2025-06-23, 16:14authored byYingchai Zhang, Eric SH Lau, Claudia HT Tam, Noel YH Ng, Mai Shi, Atta YT Tsang, Hanbin Wu, Aimin Yang, Hongjiang Wu, Lai Yuk Yuen, Elaine YK Chow, Andrea OY Luk, Alice PS Kong, Chi Chiu Wang, Juliana CN Chan, Wing Hung Tam, Ronald CW Ma
<p dir="ltr">Early-life exposures may shape long-term effects on glucose regulation. This study aimed to stratify long-term abnormal glucose tolerance (AGT) risk from early childhood. A total of 906 children were enrolled at baseline and re-evaluated in adolescence and young adulthood. By using the latent class trajectory analysis, glucose trajectories of children were measured via 5-timepoint OGTT and then grouped into three latent subclasses: Mild excursion–Normal reversion (MN), Moderate excursion–Delayed reversion (MD), and Severe excursion–Delayed reversion (SD). Logistic regression was performed to estimate the risk of AGT and associations between cardiometabolic factors and subclasses. In adolescence, compared to the MN subclass, the risk of AGT was 1.7-fold in the MD subclass and 5.5-fold in the SD subclass, after adjusting for age, sex, body mass index (BMI) and Tanner Stage. In young adulthood, the adjusted risk of AGT was 3.6-fold and 11.6-fold in the MD and SD subclass, respectively. During the full the natural history of glucose tolerance, the risk of AGT was 3.6-fold in the MD subclass and 18.1-fold in the SD subclass, after adjusting for childhood covariates.<b> </b>The MD/SD subclass membership was strongly associated with childhood hypertension, maternal gestational diabetes and maternal hypertension during pregnancy.<b> </b>Glucose trajectory subclasses in early childhood effectively stratified the long-term risk of AGT. The association between maternal cardiometabolic health and childhood subclass membership highlighted that prenatal exposures may influence metabolic outcomes in offspring.</p>
Funding
Research Grants Council of the Hong Kong SAR, China (grants CUHK 473408, 471713, 14118316, 14118718, 14102719). The HAPO Study was funded by the National Institute of Child Health and Human Development and National Institute of Diabetes and Digestive and Kidney Diseases (R01-HD34242, R01-HD34243). The HAPO Follow-up Study was funded by grant 1U01DK094830 from the National Institute of Diabetes and Digestive and Kidney Diseases and the Eunice Kennedy Shriver National Institute of Child Health and Human Development. RCWM acknowledge support provided by the University Grants Committee Research Grants Matching Scheme.