Characteristics of gut microbiota structure and composition in diabetic patients from the Chaoshan region of China

肠道菌群 生物 拟杆菌 小桶 糖尿病 2型糖尿病 粪便 2型糖尿病 微生物群 1型糖尿病 拟杆菌科 微生物学 基因组 瘤胃球菌 细菌 细菌分类学 微生物代谢 代谢组学 遗传学 生理学 16S核糖体RNA 操作分类学单元 基因 双歧杆菌 失调 肥胖 疾病 病例对照研究 作文(语言) 系统发育学 动物
作者
Kun Lin,Baolong Chen,Xinyi Zhang,Ming Fan,Panpan Wang,Yike Wang,Xianhui Cheng,Zeming Ma,Xiaojing Chen,Xingying Xue,Wenting Jia,Songjian Yuan,Bangzhou Zhang,Xiaoman Du,Wenxin Hong,Zhenqiang Hong,Chuanxing Xiao
出处
期刊:Journal of Medical Microbiology [Microbiology Society]
卷期号:75 (7)
标识
DOI:10.1099/jmm.0.002156
摘要

Introduction. Diabetes mellitus, a condition characterized by chronic hyperglycaemia, is categorized into type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). Recent research has identified a significant association between diabetes and modifications in the gut microbiota. Gap Statement. Although numerous analyses have been conducted on the gut microbiota of patients with diabetes, regional variations due to factors such as lifestyle and dietary habits remain poorly understood. Aim. This study aimed to compare the gut microbiota structures of adult patients with T1DM, T2DM and healthy controls (HCs) in the Chaoshan region of China, providing theoretical support for gut microbiota-based targeted therapies for diabetes in the Chaoshan region. Methodology. This study enrolled 33 patients with T1DM, 35 patients with T2DM and 30 HCs in the Chaoshan region of China. Faecal samples were collected and subjected to 16S rDNA sequencing and bioinformatics analysis. Results. Our data demonstrated significant variations in gut microbiota diversity among individuals with T1DM, T2DM and HC, accompanied by changes in microbial composition across multiple taxonomic levels. Furthermore, linear discriminant analysis effect size analysis identified distinct dominant species within each group: 27 bacterial genera, including Megasphaera , were significantly enriched in T2DM patients; 27 bacterial genera, including Bacteroides , were significantly enriched in T1DM patients; and 18 bacterial genera, including Alloprevotella , were significantly enriched in the HC group. Metabolic pathway analyses using Kyoto Encyclopedia of Genes and Genomes (KEGG) and Clusters of Orthologous Genes (COG) databases demonstrated a significant enrichment of pathways and enzymes associated with starch and sucrose metabolism in both T1DM and T2DM cohorts, compared to HC. Additionally, a diagnostic model based on gut microbiota data at the class level yielded an area under the curve value of 0.861, indicating its high diagnostic efficacy in distinguishing between T1DM and T2DM. Furthermore, an analysis of the abundance of various bacterial phenotypes and probiotic species revealed notable differences among the three groups. Conclusion. This study demonstrates distinct gut microbiota composition, structure and functional profiles in Chaoshan T1DM, T2DM and HC populations, supporting microbiota modulation as a promising therapeutic strategy for diabetes.

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