Bin Chen1, Zhe Wang2, Jingwen Wang3, Xinhuan Su2, Junjie Yang4, Qunye Zhang5, Lei Zhang6,7,8,9,10. 1. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, School of Chemistry, & Key Laboratory of Big Data-Based Precision Medicine (Beihang University), the Ministry of Industry and Information Technology of the People's Republic of China, Beihang University, Beijing, China. 2. Division of Endocrinology and Metabolism, Shandong Provincial Hospital affiliated to Shandong University, Jinan, China. 3. Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Qingdao, China. 4. College of Life Science, Qilu Normal University, Jinan, China. 5. The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, and The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Children's Hospital of Shandong University, Jinan, China. wz.zhangqy@sdu.edu.cn. 6. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, School of Chemistry, & Key Laboratory of Big Data-Based Precision Medicine (Beihang University), the Ministry of Industry and Information Technology of the People's Republic of China, Beihang University, Beijing, China. microbiome@foxmail.com. 7. Microbiological Laboratory, Linyi People's Hospital, Linyi, China. microbiome@foxmail.com. 8. Shandong Institute for Food and Drug Control, Jinan, China. microbiome@foxmail.com. 9. Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan, China. microbiome@foxmail.com. 10. Shandong Institute of Industrial Technology for Health Science and Precision Medicine, Jinan, China. microbiome@foxmail.com.
Abstract
PURPOSE: Oral microbiota maintains a dynamic ecological balance with the host. However, a disruption in this balance can lead to oral diseases such as dental caries and periodontitis. Several studies suggest differences in microbial composition in the oral cavity between patients with T2DM and nondiabetic patients. However, there is inadequate oral microbiome-related data from Chinese patients with T2DM, and the difference in microbiome profile between Chinese patients with T2DM and other ethnicities needs to be investigated further. METHOD: Oral swab samples were collected from 280 adult patients with T2DM and 162 healthy controls. Illumina sequencing was performed on oral samples targeting V1-V2 region of 16S rRNA gene and sequence analysis was carried in the QIIME. RESULTS: Patients with T2DM and healthy cohorts exhibited distinct oral microbial clusters based on principal coordinate analysis (PCoA). The Firmicutes/Bacteroidetes ratio increased in T2DM and T2DM patients presented significantly higher numbers of Neisseria, Streptococcus, Haemophilus, and Pseudomonas genera, and lower numbers of Acinetobacteria compared with healthy controls. When compared with the available published data of oral and gut microbiome associated with T2DM patients, we found the ratio of Firmicutes/Bacteroidetes and the abundance of Haemophilus could be a specific microbial biomarker in Chinese patients with T2DM. CONCLUSIONS: Our study revealed a significant difference in the oral microbiota between T2DM patients and healthy individuals. We identified 25 taxa, including 6 genera, with significant difference in abundance between T2DM and healthy controls.
PURPOSE: Oral microbiota maintains a dynamic ecological balance with the host. However, a disruption in this balance can lead to oral diseases such as dental caries and periodontitis. Several studies suggest differences in microbial composition in the oral cavity between patients with T2DM and nondiabeticpatients. However, there is inadequate oral microbiome-related data from Chinese patients with T2DM, and the difference in microbiome profile between Chinese patients with T2DM and other ethnicities needs to be investigated further. METHOD: Oral swab samples were collected from 280 adult patients with T2DM and 162 healthy controls. Illumina sequencing was performed on oral samples targeting V1-V2 region of 16S rRNA gene and sequence analysis was carried in the QIIME. RESULTS:Patients with T2DM and healthy cohorts exhibited distinct oral microbial clusters based on principal coordinate analysis (PCoA). The Firmicutes/Bacteroidetes ratio increased in T2DM and T2DM patients presented significantly higher numbers of Neisseria, Streptococcus, Haemophilus, and Pseudomonas genera, and lower numbers of Acinetobacteria compared with healthy controls. When compared with the available published data of oral and gut microbiome associated with T2DM patients, we found the ratio of Firmicutes/Bacteroidetes and the abundance of Haemophilus could be a specific microbial biomarker in Chinese patients with T2DM. CONCLUSIONS: Our study revealed a significant difference in the oral microbiota between T2DM patients and healthy individuals. We identified 25 taxa, including 6 genera, with significant difference in abundance between T2DM and healthy controls.
Entities:
Keywords:
Dysbiosis; Oral microbiota; Type 2 diabetes mellitus
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