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New Insights into the Intrinsic and Extrinsic Factors That Shape the Human Skin Microbiome
Despite recognition that biogeography and individuality shape the function and composition of the human skin microbiome, we know little about how extrinsic and intrinsic host factors influence its composition. To explore the contributions of these factors to skin microbiome variation, we profiled th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606800/ https://www.ncbi.nlm.nih.gov/pubmed/31266865 http://dx.doi.org/10.1128/mBio.00839-19 |
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author | Dimitriu, Pedro A. Iker, Brandon Malik, Kausar Leung, Hilary Mohn, W. W. Hillebrand, Greg G. |
author_facet | Dimitriu, Pedro A. Iker, Brandon Malik, Kausar Leung, Hilary Mohn, W. W. Hillebrand, Greg G. |
author_sort | Dimitriu, Pedro A. |
collection | PubMed |
description | Despite recognition that biogeography and individuality shape the function and composition of the human skin microbiome, we know little about how extrinsic and intrinsic host factors influence its composition. To explore the contributions of these factors to skin microbiome variation, we profiled the bacterial microbiomes of 495 North American subjects (ages, 9 to 78 years) at four skin surfaces plus the oral epithelium using 16S rRNA gene amplicon sequencing. We collected subject metadata, including host physiological parameters, through standardized questionnaires and noninvasive biophysical methods. Using a combination of statistical modeling tools, we found that demographic, lifestyle, and physiological factors collectively explained 12 to 20% of the variability in microbiome composition. The influence of health factors was strongest on the oral microbiome. Associations between host factors and the skin microbiome were generally dominated by operational taxonomic units (OTUs) affiliated with the Clostridiales and Prevotella. A subset of the correlations between microbial features and host attributes were site specific. To further explore the relationship between age and the skin microbiome of the forehead, we trained a Random Forest regression model to predict chronological age from microbial features. Age was associated mostly with two mutually coexcluding Corynebacterium OTUs. Furthermore, skin aging variables (wrinkles and hyperpigmented spots) were independently correlated to these taxa. |
format | Online Article Text |
id | pubmed-6606800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-66068002019-07-08 New Insights into the Intrinsic and Extrinsic Factors That Shape the Human Skin Microbiome Dimitriu, Pedro A. Iker, Brandon Malik, Kausar Leung, Hilary Mohn, W. W. Hillebrand, Greg G. mBio Research Article Despite recognition that biogeography and individuality shape the function and composition of the human skin microbiome, we know little about how extrinsic and intrinsic host factors influence its composition. To explore the contributions of these factors to skin microbiome variation, we profiled the bacterial microbiomes of 495 North American subjects (ages, 9 to 78 years) at four skin surfaces plus the oral epithelium using 16S rRNA gene amplicon sequencing. We collected subject metadata, including host physiological parameters, through standardized questionnaires and noninvasive biophysical methods. Using a combination of statistical modeling tools, we found that demographic, lifestyle, and physiological factors collectively explained 12 to 20% of the variability in microbiome composition. The influence of health factors was strongest on the oral microbiome. Associations between host factors and the skin microbiome were generally dominated by operational taxonomic units (OTUs) affiliated with the Clostridiales and Prevotella. A subset of the correlations between microbial features and host attributes were site specific. To further explore the relationship between age and the skin microbiome of the forehead, we trained a Random Forest regression model to predict chronological age from microbial features. Age was associated mostly with two mutually coexcluding Corynebacterium OTUs. Furthermore, skin aging variables (wrinkles and hyperpigmented spots) were independently correlated to these taxa. American Society for Microbiology 2019-07-02 /pmc/articles/PMC6606800/ /pubmed/31266865 http://dx.doi.org/10.1128/mBio.00839-19 Text en Copyright © 2019 Dimitriu et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Dimitriu, Pedro A. Iker, Brandon Malik, Kausar Leung, Hilary Mohn, W. W. Hillebrand, Greg G. New Insights into the Intrinsic and Extrinsic Factors That Shape the Human Skin Microbiome |
title | New Insights into the Intrinsic and Extrinsic Factors That Shape the Human Skin Microbiome |
title_full | New Insights into the Intrinsic and Extrinsic Factors That Shape the Human Skin Microbiome |
title_fullStr | New Insights into the Intrinsic and Extrinsic Factors That Shape the Human Skin Microbiome |
title_full_unstemmed | New Insights into the Intrinsic and Extrinsic Factors That Shape the Human Skin Microbiome |
title_short | New Insights into the Intrinsic and Extrinsic Factors That Shape the Human Skin Microbiome |
title_sort | new insights into the intrinsic and extrinsic factors that shape the human skin microbiome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606800/ https://www.ncbi.nlm.nih.gov/pubmed/31266865 http://dx.doi.org/10.1128/mBio.00839-19 |
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