已发表论文

司美格鲁肽对中国二甲双胍治疗血糖控制不佳的 2 型糖尿病患者肠道菌群的影响

 

Authors Chen Y, Shan Y, Wang T, Liu Z , Zhao Z , He Y

Received 27 April 2025

Accepted for publication 14 October 2025

Published 18 October 2025 Volume 2025:18 Pages 3865—3881

DOI https://doi.org/10.2147/DMSO.S537001

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Rebecca Baqiyyah Conway


Yanxia Chen,1 Yue Shan,1 Ting Wang,1 Zhihong Liu,1 Zhansheng Zhao,1 Yinxi He2 

1Department of Endocrinology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China; 2Department of Orthopaedic Trauma, The Third Hospital of Shijiazhuang, Shijiazhuang, Hebei, 050000, People’s Republic of China

Correspondence: Zhansheng Zhao, Department of Endocrinology, The Second Hospital of Hebei Medical University, 215 Hepingxi Road, Shijiazhuang, Hebei, 050000, People’s Republic of China, Email 26900270@hebmu.edu.cn

Background: Type 2 diabetes mellitus (T2DM) is a highly prevalent metabolic disorder with increasing global incidence, linked to gut microbiota dysbiosis. This study investigated the effects of semaglutide, a long-acting GLP-1 receptor agonist, on gut microbiota composition and metabolic profiles in 15 Chinese patients with T2DM poorly controlled by metformin.
Methods: Participants received semaglutide for 12 weeks, with fecal and blood samples collected before and after treatment. 16S rRNA gene sequencing revealed significant changes in gut microbiota diversity and composition after semaglutide treatment.
Results: Alpha diversity indices increased, though not significantly, while beta diversity analysis showed structural shifts. At the phylum level, Firmicutes decreased, while Bacteroidota, Actinobacteriota and Proteobacteria increased. At the genus level, beneficial bacteria like Bifidobacterium increased, while potentially harmful genera like Klebsiella decreased. Metabolomic analysis identified 362 differentially expressed metabolites, with key pathways affected including Fc epsilon RI signaling, vascular smooth muscle contraction, and linoleic acid metabolism. Clinically, semaglutide improved glycemic control, reduced body weight, BMI and lipid. Significant correlations were observed between gut microbiota species, metabolites, and clinical indices such as BMI, HbA1c and lipid profiles.
Conclusion: Taken together, this study suggested that semaglutide’s therapeutic benefits may be mediated through modulation of the gut microbiota and associated metabolic pathways, highlighting the potential for targeting the gut microbiome in diabetes management.

Keywords: type 2 diabetes mellitus, semaglutide, gut microbiota, 16S rRNA sequencing, metabolic pathways