Saturnino Asia, Maddaloni Ernesto, Zampetti Simona, Buzzetti Raffaella
Campus Bio-Medico University, Rome, Italy.
Sapienza University of Rome, Rome, Italy.
Diabetes Metab Res Rev. 2025 Jan;41(1):e70017. doi: 10.1002/dmrr.70017.
Glucagon-like peptide 1 receptor agonists (RA) are novel agents used in the management of type 2 diabetes (T2D) and obesity. Although highly effective, the response to treatment may vary significantly among patients.
This perspective review aims to summarise the current knowledge about markers of poor or good response to GLP-1 RA, highlighting the possibility of tailoring treatment strategies and reducing costs associated with T2D and obesity treatment.
A comprehensive literature search was conducted using PubMed, NCBI, and Scopus databases, focussing on studies published between 2016 and 2024 that evaluated factors influencing treatment outcomes with GLP-1 RA.
Several markers, including baseline HbA1c levels, ghrelin and glucose-dependent insulinotropic polypeptide (GIP) levels, specific gut microbiome composition, b-cell function, and genetic markers, were identified as factors associated with treatment response.
Understanding predictive markers of response to therapy can enhance precision-based medicine for the selection of patients eligible for GLP-1 RA, improving clinical outcomes and optimising diabetes management.
胰高血糖素样肽1受体激动剂(RA)是用于治疗2型糖尿病(T2D)和肥胖症的新型药物。尽管疗效显著,但患者对治疗的反应可能差异很大。
本前瞻性综述旨在总结目前关于对GLP-1 RA反应不佳或良好的标志物的认识,强调调整治疗策略以及降低与T2D和肥胖症治疗相关成本的可能性。
使用PubMed、NCBI和Scopus数据库进行全面的文献检索,重点关注2016年至2024年期间发表的评估影响GLP-1 RA治疗结果因素的研究。
包括基线糖化血红蛋白水平、胃饥饿素和葡萄糖依赖性促胰岛素多肽(GIP)水平、特定肠道微生物群组成、β细胞功能和遗传标志物在内的几种标志物被确定为与治疗反应相关的因素。
了解治疗反应的预测标志物可以加强精准医学,以选择适合使用GLP-1 RA的患者,改善临床结果并优化糖尿病管理。