bioRxivMicrobiology
Distinct gut metagenomics and metaproteomics signatures in prediabetics and treatment-naïve type 2 diabetics
H. Zhong, H. Ren, Y. Lu, C. Fang, G. Hou, Z. Yang, B. Chen, F. Yang, Y. Zhao, Z. Shi, B. Zhao, J. Wu, H. Zou, J. Zi, J. Chen, X. Bao, Y. Hu, Y. Gao, J. Zhang, X. Xu, Y. Hou, H. Yang, J. Wang, S. Liu, H. Jia, , J. Li
Abstract
BackgroundThe gut microbiota plays important roles in modulating host metabolism. Previous studies have demonstrated differences in the gut microbiome of T2D and prediabetic individuals compared to healthy individuals, with distinct disease-related microbial profiles being reported in groups of different age and ethnicity. However, confounding factors such as anti-diabetic medication hamper identification of the gut microbial changes in disease development.\n\nMethodWe used a combination of in-depth metagenomics and metaproteomics analyses of faecal samples from treatment-naive type 2 diabetic (TN-T2D, n=77), pre-diabetic (Pre-DM, n=80), and normal glucose tolerant (NGT, n=97) individuals to investigate compositional and functional changes of the gut microbiota and the faecal content of microbial and host proteins in Pre-DM and treatment-naive T2D individuals to elucidate possible host-microbial interplays characterising different disease stages.\n\nFindingsWe observed distinct differences characterizing the gut microbiota of these three groups and validated several key features in an independent TN-T2D cohort. We also demonstrated that the content of several human antimicrobial peptides and pancreatic enzymes differed in faecal samples between three groups, such as reduced faecal level of antimicrobial peptides and pancreatic enzymes in TN-T2D.\n\nInterpretationOur findings suggest a complex, disease stage-dependent interplay between the gut microbiota and the host and emphasize the value of metaproteomics to gain further insight into interplays between the gut microbiota and the host.\n\nFundingNational Key Research and Development Program of China, No. 2017YFC0909703, Shenzhen Municipal Government of China, No. JCYJ20170817145809215, and National Natural Science Foundation of China, No. 31601073.
- organism: human
- assay: metagenomics
- assay: metabolomics
- research focus: host-pathogen & immune response
- approach: experimental assay
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