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Enterotype Bacteroides Is Associated with a High Risk in Patients with Diabetes: A Pilot Study.

Jiajia Wang | Wenjuan Li | Chuan Wang | Lingshu Wang | Tianyi He | Huiqing Hu | Jia Song | Chen Cui | Jingting Qiao | Li Qing | Lili Li | Nan Zang | Kewei Wang | Chuanlong Wu | Lin Qi | Aixia Ma | Huizhen Zheng | Xinguo Hou | Fuqiang Liu | Li Chen
Journal of diabetes research | 2020

More and more studies focus on the relationship between the gastrointestinal microbiome and type 2 diabetes, but few of them have actually explored the relationship between enterotypes and type 2 diabetes. Materials and Methods. We enrolled 134 patients with type 2 diabetes and 37 nondiabetic controls. The anthropometric and clinical indices of each subject were measured. Fecal samples of each subject were also collected and were processed for 16S rDNA sequencing. Multiple logistic regression analysis was used to determine the associations of enterotypes with type 2 diabetes. Multiple linear regression analysis was used to explore the relationship between lipopolysaccharide levels and insulin sensitivity after adjusting for age, BMI, TG, HDL-C, DAO, and TNF-α. The correlation analysis between factors and microbiota was identified using Spearman correlation analysis. The correlation analysis between factors was identified using partial correlation analysis.

Pubmed ID: 32064276

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This is a list of tools and resources that we have found mentioned in this publication.


UPARSE (tool)

RRID:SCR_005020

An Operational Taxonomic Unit (OTU) clustering software for 16S and other marker genes. Highly accurate OTU sequences and improved diversity measures.

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Ribosomal Database Project (tool)

RRID:SCR_006633

A database which provides ribosome related data services to the scientific community, including online data analysis, rRNA derived phylogenetic trees, and aligned and annotated rRNA sequences. It specifically contains information on quality-controlled, aligned and annotated bacterial and archaean 16S rRNA sequences, fungal 28S rRNA sequences, and a suite of analysis tools for the scientific community. Most of the RDP tools are now available as open source packages for users to incorporate in their local workflow.

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QIIME (tool)

RRID:SCR_008249

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data, but also supporting analysis of other types of data. QIMME analyzes and transforms raw sequencing data generated on Illumina or other platforms to publication quality graphics and statistics.

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Abbott Diagnostics (tool)

RRID:SCR_008392

Company offering a broad range of instrument systems and diagnostic tests for hospitals, reference labs, blood banks, physician offices and clinics to aid in the diagnosis of a range of serious health issues such as infectious diseases, cancer, and diabetes, as well as monitor other important indicators of health.

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QIAGEN (tool)

RRID:SCR_008539

A commercial organization which provides assay technologies to isolate DNA, RNA, and proteins from any biological sample. Assay technologies are then used to make specific target biomolecules, such as the DNA of a specific virus, visible for subsequent analysis.

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USEARCH (tool)

RRID:SCR_027438

Software application that provides search and clustering functionality, typically used with amplicon sequence data. Used to assign sequences to clusters.

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