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Gut Microbiota in Nutrition and Health with a Special Focus on Specific Bacterial Clusters
Health is influenced by how the gut microbiome develops as a result of external and internal factors, such as nutrition, the environment, medication use, age, sex, and genetics. Alpha and beta diversity metrics and (enterotype) clustering methods are commonly employed to perform population studies a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563262/ https://www.ncbi.nlm.nih.gov/pubmed/36231053 http://dx.doi.org/10.3390/cells11193091 |
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author | Bresser, Lucas R. F. de Goffau, Marcus C. Levin, Evgeni Nieuwdorp, Max |
author_facet | Bresser, Lucas R. F. de Goffau, Marcus C. Levin, Evgeni Nieuwdorp, Max |
author_sort | Bresser, Lucas R. F. |
collection | PubMed |
description | Health is influenced by how the gut microbiome develops as a result of external and internal factors, such as nutrition, the environment, medication use, age, sex, and genetics. Alpha and beta diversity metrics and (enterotype) clustering methods are commonly employed to perform population studies and to analyse the effects of various treatments, yet, with the continuous development of (new) sequencing technologies, and as various omics fields as a result become more accessible for investigation, increasingly sophisticated methodologies are needed and indeed being developed in order to disentangle the complex ways in which the gut microbiome and health are intertwined. Diseases of affluence, such as type 2 diabetes (T2D) and cardiovascular diseases (CVD), are commonly linked to species associated with the Bacteroides enterotype(s) and a decline of various (beneficial) complex microbial trophic networks, which are in turn linked to the aforementioned factors. In this review, we (1) explore the effects that some of the most common internal and external factors have on the gut microbiome composition and how these in turn relate to T2D and CVD, and (2) discuss research opportunities enabled by and the limitations of some of the latest technical developments in the microbiome sector, including the use of artificial intelligence (AI), strain tracking, and peak to trough ratios. |
format | Online Article Text |
id | pubmed-9563262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95632622022-10-15 Gut Microbiota in Nutrition and Health with a Special Focus on Specific Bacterial Clusters Bresser, Lucas R. F. de Goffau, Marcus C. Levin, Evgeni Nieuwdorp, Max Cells Review Health is influenced by how the gut microbiome develops as a result of external and internal factors, such as nutrition, the environment, medication use, age, sex, and genetics. Alpha and beta diversity metrics and (enterotype) clustering methods are commonly employed to perform population studies and to analyse the effects of various treatments, yet, with the continuous development of (new) sequencing technologies, and as various omics fields as a result become more accessible for investigation, increasingly sophisticated methodologies are needed and indeed being developed in order to disentangle the complex ways in which the gut microbiome and health are intertwined. Diseases of affluence, such as type 2 diabetes (T2D) and cardiovascular diseases (CVD), are commonly linked to species associated with the Bacteroides enterotype(s) and a decline of various (beneficial) complex microbial trophic networks, which are in turn linked to the aforementioned factors. In this review, we (1) explore the effects that some of the most common internal and external factors have on the gut microbiome composition and how these in turn relate to T2D and CVD, and (2) discuss research opportunities enabled by and the limitations of some of the latest technical developments in the microbiome sector, including the use of artificial intelligence (AI), strain tracking, and peak to trough ratios. MDPI 2022-09-30 /pmc/articles/PMC9563262/ /pubmed/36231053 http://dx.doi.org/10.3390/cells11193091 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Bresser, Lucas R. F. de Goffau, Marcus C. Levin, Evgeni Nieuwdorp, Max Gut Microbiota in Nutrition and Health with a Special Focus on Specific Bacterial Clusters |
title | Gut Microbiota in Nutrition and Health with a Special Focus on Specific Bacterial Clusters |
title_full | Gut Microbiota in Nutrition and Health with a Special Focus on Specific Bacterial Clusters |
title_fullStr | Gut Microbiota in Nutrition and Health with a Special Focus on Specific Bacterial Clusters |
title_full_unstemmed | Gut Microbiota in Nutrition and Health with a Special Focus on Specific Bacterial Clusters |
title_short | Gut Microbiota in Nutrition and Health with a Special Focus on Specific Bacterial Clusters |
title_sort | gut microbiota in nutrition and health with a special focus on specific bacterial clusters |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563262/ https://www.ncbi.nlm.nih.gov/pubmed/36231053 http://dx.doi.org/10.3390/cells11193091 |
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