A Sequential Dual GLP-1R/GIPR Agonist-To-Antagonist Molecule Achieves Superior Weight Loss in Obese Mice.
Аннотация
BACKGROUND
The GLP-1 receptor (GLP-1R) and GIP receptor (GIPR) are key targets for diabetes and obesity therapies. Pharmacological agents including GLP-1R agonists (e.g., Semaglutide), dual GLP-1R/GIPR agonists (e.g., Tirzepatide) and a GLP-1R agonist/GIPR antagonist (AMG133) have demonstrated considerable promise in anti-diabetic and weight management applications. However, a systematic comparison of the specific contributions of GIPR activation versus GIPR inhibition to weight loss within the context of GLP-1/GIP dual-targeting therapies remains unexplored.
RESEARCH DESIGN AND
METHODS
To address this, we designed three IgG4 Fc-fusion proteins: a GLP-1R agonist/GIPR agonist, (i) GLP-1(A8G)/GIP(A2G)-Fc; a GLP-1R agonist/GIPR inhibitor, (ii) GLP-1(A8G)/GIP(3-30)-Fc; and a sequential molecule that hypothesised to transition from dual GLP-1R/GIPR agonism to GLP-1R agonism/GIPR inhibition, (iii) GLP-1(A8G)/GIP(1-30)-Fc. Mono-agonist GLP-1(A8G)-Fc and dual-agonist GLP-1(A8G)/GIP(A2G)-Fc were used as controls to investigate the weight loss effects of GIPR activation and inhibition in DIO mice.
RESULTS
Our findings revealed that the sequential molecule GLP-1(A8G)/GIP(1-30)-Fc produced the greatest body weight reduction (21.59%), significantly outperforming GLP-1(A8G)/GIP(3-30)-Fc (14.5%; p < 0.001). Furthermore, both GIPR activation and inhibition, when combined with GLP-1R agonism, markedly improved serum and hepatic lipid metabolism, as evidenced by reduced triglycerides and total cholesterol.
CONCLUSION
Together, these findings validate a peptide-based inhibitory strategy for synergistic weight loss and provide insights into the differential metabolic roles of GIPR activation versus inhibition, guiding the development of novel anti-obesity therapeutics.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.