Gut microbial signatures in type 2 diabetes are highly associated with geographic region, diet habits and common comorbidities: Insights from a bioinformatics analysis of Chinese population

IF 7.4 3区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Xiaoyi Li , Kexin Ding , Yujia Ma , Han Xiao , Yan Liu , Guangfeng Wu , Dafang Chen
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Abstract

Aims

Emerging evidence implicates the gut microbiota in type 2 diabetes (T2D) development and their association with multiple host factors. This study aimed to explore the differences in gut microbiota between T2D patients and non-diabetic controls, and to estimate the relationship between host factors and specific microbial signatures in T2D.

Methods

16S rRNA gene sequencing was performed on fecal samples from 508 T2D patients and 1,538 controls in a Chinese population.

Results

We observed significant differences in microbial composition and diversity between T2D and controls, with 20 microbial signatures associated with T2D. Microbial co-occurrence networks revealed that T2D patients exhibited a distinct microbiome signatures pattern. Random forest models incorporating these microbial signatures and covariates improved accuracy of T2D classification. Furthermore, geographic region, diet habits of different staple food sources and coffee drinking habit, and common comorbidities, such as hypertension, were associated with specific microbial signatures.

Conclusions

Our study highlights the potential role of gut microbiota in T2D pathogenesis and provides clues that specific microbial signatures may serve as biomarkers for T2D diagnosis and personalized management in Chinese populations. The findings indicate that modifiable factors including dietary factors, living regions and common comorbidities may influence the gut microbiota, thereby affecting T2D development.
2型糖尿病的肠道微生物特征与地理区域、饮食习惯和常见合并症高度相关:来自中国人群生物信息学分析的见解
目的:新出现的证据表明肠道微生物群与2型糖尿病(T2D)的发展及其与多种宿主因素的关联。本研究旨在探讨T2D患者与非糖尿病对照组肠道微生物群的差异,并估计宿主因素与T2D特异性微生物特征之间的关系。方法:对中国人群中508例T2D患者和1538例对照者的粪便样本进行16S rRNA基因测序。结果:我们观察到T2D和对照组之间的微生物组成和多样性存在显著差异,有20种微生物特征与T2D相关。微生物共发生网络显示,T2D患者表现出独特的微生物组特征模式。结合这些微生物特征和协变量的随机森林模型提高了T2D分类的准确性。此外,地理区域、不同主食来源的饮食习惯和咖啡饮用习惯,以及常见的合并症,如高血压,与特定的微生物特征有关。结论:我们的研究强调了肠道微生物群在T2D发病机制中的潜在作用,并提供了特异性微生物特征可能作为中国人群T2D诊断和个性化治疗的生物标志物的线索。研究结果表明,包括饮食因素、生活区域和常见合并症在内的可改变因素可能影响肠道微生物群,从而影响T2D的发展。
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来源期刊
Diabetes research and clinical practice
Diabetes research and clinical practice 医学-内分泌学与代谢
CiteScore
10.30
自引率
3.90%
发文量
862
审稿时长
32 days
期刊介绍: Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.
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