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Dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system

High-throughput molecular studies are greatly advancing our knowledge of the human microbiome and its specific role in governing health and disease states. A myriad of ongoing studies aim at identifying links between microbial community disequilibria (dysbiosis) and human diseases. However, due to t...

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Autor principal: Ezcurra, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223720/
https://www.ncbi.nlm.nih.gov/pubmed/29557050
http://dx.doi.org/10.1007/s10522-018-9752-x
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author Ezcurra, Marina
author_facet Ezcurra, Marina
author_sort Ezcurra, Marina
collection PubMed
description High-throughput molecular studies are greatly advancing our knowledge of the human microbiome and its specific role in governing health and disease states. A myriad of ongoing studies aim at identifying links between microbial community disequilibria (dysbiosis) and human diseases. However, due to the inherent complexity and heterogeneity of the human microbiome we need robust experimental models that allow the systematic manipulation of variables to test the multitude of hypotheses arisen from large-scale ‘meta-omic’ projects. The nematode C. elegans combined with bacterial models offers an avenue to dissect cause and effect in host-microbiome interactions. This combined model allows the genetic manipulation of both host and microbial genetics and the use of a variety of tools, to identify pathways affecting host health. A number of recent high impact studies have used C. elegans to identify microbial pathways affecting ageing and longevity, demonstrating the power of the combined C. elegans-bacterial model. Here I will review the current state of the field, what we have learned from using C. elegans to study gut microbiome and host interactions, and the potential of using this model system in the future.
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spelling pubmed-62237202018-11-18 Dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system Ezcurra, Marina Biogerontology Research Article High-throughput molecular studies are greatly advancing our knowledge of the human microbiome and its specific role in governing health and disease states. A myriad of ongoing studies aim at identifying links between microbial community disequilibria (dysbiosis) and human diseases. However, due to the inherent complexity and heterogeneity of the human microbiome we need robust experimental models that allow the systematic manipulation of variables to test the multitude of hypotheses arisen from large-scale ‘meta-omic’ projects. The nematode C. elegans combined with bacterial models offers an avenue to dissect cause and effect in host-microbiome interactions. This combined model allows the genetic manipulation of both host and microbial genetics and the use of a variety of tools, to identify pathways affecting host health. A number of recent high impact studies have used C. elegans to identify microbial pathways affecting ageing and longevity, demonstrating the power of the combined C. elegans-bacterial model. Here I will review the current state of the field, what we have learned from using C. elegans to study gut microbiome and host interactions, and the potential of using this model system in the future. Springer Netherlands 2018-03-19 2018 /pmc/articles/PMC6223720/ /pubmed/29557050 http://dx.doi.org/10.1007/s10522-018-9752-x Text en © The Author(s) 2018 Open AccessThis article is distributed 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 you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Ezcurra, Marina
Dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system
title Dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system
title_full Dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system
title_fullStr Dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system
title_full_unstemmed Dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system
title_short Dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system
title_sort dissecting cause and effect in host-microbiome interactions using the combined worm-bug model system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223720/
https://www.ncbi.nlm.nih.gov/pubmed/29557050
http://dx.doi.org/10.1007/s10522-018-9752-x
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