GLP1R haplotypes are associated with insulin secretion and sensitivity in children and adolescents with obesity

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ID: 321514
2026
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Abstract
BACKGROUND: Glucagon-like peptide-1 (GLP-1) plays a key role in regulating glucose homeostasis and body weight, and GLP-1 receptor agonists have been developed and used for treating both type 2 diabetes and obesity. We hypothesized that genetic variation in the GLP-1 receptor gene (GLP1R) might be associated with the action of GLP-1 itself and, consequently, insulin sensitivity and/or secretion and circulating GLP-1, in a cohort of children and adolescents with overweight and obesity. METHODS: In a cohort of 1,025 Italian children with obesity, two GLP1R SNPs (rs6923761 and rs1042044) were analysed individually and as haplotypes. Associations with fasting (FPG, HbA1c, HOMA-IR) and OGTT-derived metabolic traits (IGI, Matsuda index, oDI, AUCins) were assessed using multivariable linear regression. In 26 children, selected according to their haplotype setting, circulating GLP-1 levels were measured during OGTT at 0, 30 and 120 minutes and analysed using mixed-effects models. RESULTS: rs6923761 variant was associated with Matsuda index, IGI, AUCins and AUCins/AUCglu ratio (p-all<0.031). The haplotype A-C, tagging the rs6923761 variant, was associated with lower FPI, HOMA-IR, IGI and AUCins (p < 0.02) as well as higher Matsuda index (p = 0.009). GLP-1 circulating concentrations varied over time, with lower levels observed at 120 min compared with baseline (p < 0.001). GLP1R haplotype A-C was associated with lower GLP-1 concentrations (p = 0.025). CONCLUSIONS: GLP1R genetic variants, particularly rs6923761 and the A-C haplotype, are associated with distinct patterns of insulin secretion, insulin sensitivity, and circulating GLP-1 levels in children and adolescents with obesity. These findings provide new insights into the genetic architecture of incretin physiology.
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openalex_W7169521914 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chiara Zusi, Martina Caruso, Michele Gastaldelli, Massimiliano Corradi, Stéphane Lobbens, Francesca Olivieri, Anita Morandi, Claudio Maffeis
Journal the journal of clinical endocrinology & metabolism
Year 2026
DOI
10.1210/clinem/dgag283
URL
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