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Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases

A short while ago, the human genome and microbiome were analysed simultaneously for the first time as a multi-omic approach. The analyses of heterogeneous population cohorts showed that microbiome components were associated with human genome variations. In-depth analysis of these results reveals tha...

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Detalles Bibliográficos
Autores principales: Gundogdu, Aycan, Nalbantoglu, Ufuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506383/
https://www.ncbi.nlm.nih.gov/pubmed/28785422
http://dx.doi.org/10.1099/mgen.0.000112
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author Gundogdu, Aycan
Nalbantoglu, Ufuk
author_facet Gundogdu, Aycan
Nalbantoglu, Ufuk
author_sort Gundogdu, Aycan
collection PubMed
description A short while ago, the human genome and microbiome were analysed simultaneously for the first time as a multi-omic approach. The analyses of heterogeneous population cohorts showed that microbiome components were associated with human genome variations. In-depth analysis of these results reveals that the majority of those relationships are between immune pathways and autoimmune disease-associated microbiome components. Thus, it can be hypothesized that autoimmunity may be associated with homeostatic disequilibrium of the human-microbiome interactome. Further analysis of human genome–human microbiome relationships in disease contexts with tailored systems biology approaches may yield insights into disease pathogenesis and prognosis.
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spelling pubmed-55063832017-08-07 Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases Gundogdu, Aycan Nalbantoglu, Ufuk Microb Genom Review A short while ago, the human genome and microbiome were analysed simultaneously for the first time as a multi-omic approach. The analyses of heterogeneous population cohorts showed that microbiome components were associated with human genome variations. In-depth analysis of these results reveals that the majority of those relationships are between immune pathways and autoimmune disease-associated microbiome components. Thus, it can be hypothesized that autoimmunity may be associated with homeostatic disequilibrium of the human-microbiome interactome. Further analysis of human genome–human microbiome relationships in disease contexts with tailored systems biology approaches may yield insights into disease pathogenesis and prognosis. Microbiology Society 2017-04-26 /pmc/articles/PMC5506383/ /pubmed/28785422 http://dx.doi.org/10.1099/mgen.0.000112 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
spellingShingle Review
Gundogdu, Aycan
Nalbantoglu, Ufuk
Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases
title Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases
title_full Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases
title_fullStr Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases
title_full_unstemmed Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases
title_short Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases
title_sort human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506383/
https://www.ncbi.nlm.nih.gov/pubmed/28785422
http://dx.doi.org/10.1099/mgen.0.000112
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