Literature DB >> 27723761

Integrated multi-omics of the human gut microbiome in a case study of familial type 1 diabetes.

Anna Heintz-Buschart1, Patrick May1, Cédric C Laczny1, Laura A Lebrun1, Camille Bellora2, Abhimanyu Krishna1, Linda Wampach1, Jochen G Schneider1,3,4, Angela Hogan2, Carine de Beaufort1,5, Paul Wilmes1.   

Abstract

The gastrointestinal microbiome is a complex ecosystem with functions that shape human health. Studying the relationship between taxonomic alterations and functional repercussions linked to disease remains challenging. Here, we present an integrative approach to resolve the taxonomic and functional attributes of gastrointestinal microbiota at the metagenomic, metatranscriptomic and metaproteomic levels. We apply our methods to samples from four families with multiple cases of type 1 diabetes mellitus (T1DM). Analysis of intra- and inter-individual variation demonstrates that family membership has a pronounced effect on the structural and functional composition of the gastrointestinal microbiome. In the context of T1DM, consistent taxonomic differences were absent across families, but certain human exocrine pancreatic proteins were found at lower levels. The associated microbial functional signatures were linked to metabolic traits in distinct taxa. The methodologies and results provide a foundation for future large-scale integrated multi-omic analyses of the gastrointestinal microbiome in the context of host-microbe interactions in human health and disease.

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Year:  2016        PMID: 27723761     DOI: 10.1038/nmicrobiol.2016.180

Source DB:  PubMed          Journal:  Nat Microbiol        ISSN: 2058-5276            Impact factor:   17.745


  79 in total

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5.  Intestinal Metaproteomics Reveals Host-Microbiota Interactions in Subjects at Risk for Type 1 Diabetes.

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Journal:  Diabetes Care       Date:  2018-08-12       Impact factor: 19.112

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Review 7.  Review of multi-omics data resources and integrative analysis for human brain disorders.

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Journal:  Adv Sci (Weinh)       Date:  2021-03-09       Impact factor: 16.806

9.  Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota.

Authors:  Zhichao Ren; Qing Liu; Wenfeng Li; Xian Wu; Yanling Dong; Yusen Huang
Journal:  Front Cell Infect Microbiol       Date:  2021-05-13       Impact factor: 5.293

Review 10.  Stem Cells and Innate Immunity in Aquatic Invertebrates: Bridging Two Seemingly Disparate Disciplines for New Discoveries in Biology.

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Journal:  Front Immunol       Date:  2021-06-30       Impact factor: 7.561

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