Cargando…
Microbiome in Healthy Women Between Two Districts With Different Air Quality Index
Although the diversity and abundance of skin microbiome are mainly determined by intrinsic factors, including gender, age, anatomical site, and ethnicity, we question whether facial microbiome could be affected by long-term exposure to airborne pollution. Using 16S ribosomal RNA (rRNA) gene amplicon...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604314/ https://www.ncbi.nlm.nih.gov/pubmed/33193129 http://dx.doi.org/10.3389/fmicb.2020.548618 |
_version_ | 1783604119247781888 |
---|---|
author | Wu, Yinhua Wang, Zujin Zhang, Yu Ruan, Liming Li, Ang Liu, Xiaoyan |
author_facet | Wu, Yinhua Wang, Zujin Zhang, Yu Ruan, Liming Li, Ang Liu, Xiaoyan |
author_sort | Wu, Yinhua |
collection | PubMed |
description | Although the diversity and abundance of skin microbiome are mainly determined by intrinsic factors, including gender, age, anatomical site, and ethnicity, we question whether facial microbiome could be affected by long-term exposure to airborne pollution. Using 16S ribosomal RNA (rRNA) gene amplicon sequencing, we analyzed the facial bacterial microbiome of healthy and young Chinese women (25–35 years old) between two districts with different air quality indices (AQIs) in Zhejiang Province. The overall microbiome structure was obviously different between these two districts. It revealed an increase in both the abundance and diversity of facial bacterial microbiome in Hangzhou (HZ) with higher AQI compared with those in Yunhe (YH) with lower AQI. Linear discriminant analysis (LDA) and Lefse analysis identified a total of 45 genera showing significant overrepresentation in the HZ group. Furthermore, PICRUSt analysis showed that functional pathways associated with metabolism of saturated fatty acid were relatively more predominant in the HZ group, whereas those with DNA repair or mitochondrial DNA replication were more predominant in the YH group. Our present data can provide useful information for further researches on the composition and function of the skin microbiome related to air pollution factors as well as for the development of therapeutic agents targeting the microbes and their metabolites to resist damages of airborne pollutants. |
format | Online Article Text |
id | pubmed-7604314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76043142020-11-13 Microbiome in Healthy Women Between Two Districts With Different Air Quality Index Wu, Yinhua Wang, Zujin Zhang, Yu Ruan, Liming Li, Ang Liu, Xiaoyan Front Microbiol Microbiology Although the diversity and abundance of skin microbiome are mainly determined by intrinsic factors, including gender, age, anatomical site, and ethnicity, we question whether facial microbiome could be affected by long-term exposure to airborne pollution. Using 16S ribosomal RNA (rRNA) gene amplicon sequencing, we analyzed the facial bacterial microbiome of healthy and young Chinese women (25–35 years old) between two districts with different air quality indices (AQIs) in Zhejiang Province. The overall microbiome structure was obviously different between these two districts. It revealed an increase in both the abundance and diversity of facial bacterial microbiome in Hangzhou (HZ) with higher AQI compared with those in Yunhe (YH) with lower AQI. Linear discriminant analysis (LDA) and Lefse analysis identified a total of 45 genera showing significant overrepresentation in the HZ group. Furthermore, PICRUSt analysis showed that functional pathways associated with metabolism of saturated fatty acid were relatively more predominant in the HZ group, whereas those with DNA repair or mitochondrial DNA replication were more predominant in the YH group. Our present data can provide useful information for further researches on the composition and function of the skin microbiome related to air pollution factors as well as for the development of therapeutic agents targeting the microbes and their metabolites to resist damages of airborne pollutants. Frontiers Media S.A. 2020-10-19 /pmc/articles/PMC7604314/ /pubmed/33193129 http://dx.doi.org/10.3389/fmicb.2020.548618 Text en Copyright © 2020 Wu, Wang, Zhang, Ruan, Li and Liu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Wu, Yinhua Wang, Zujin Zhang, Yu Ruan, Liming Li, Ang Liu, Xiaoyan Microbiome in Healthy Women Between Two Districts With Different Air Quality Index |
title | Microbiome in Healthy Women Between Two Districts With Different Air Quality Index |
title_full | Microbiome in Healthy Women Between Two Districts With Different Air Quality Index |
title_fullStr | Microbiome in Healthy Women Between Two Districts With Different Air Quality Index |
title_full_unstemmed | Microbiome in Healthy Women Between Two Districts With Different Air Quality Index |
title_short | Microbiome in Healthy Women Between Two Districts With Different Air Quality Index |
title_sort | microbiome in healthy women between two districts with different air quality index |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604314/ https://www.ncbi.nlm.nih.gov/pubmed/33193129 http://dx.doi.org/10.3389/fmicb.2020.548618 |
work_keys_str_mv | AT wuyinhua microbiomeinhealthywomenbetweentwodistrictswithdifferentairqualityindex AT wangzujin microbiomeinhealthywomenbetweentwodistrictswithdifferentairqualityindex AT zhangyu microbiomeinhealthywomenbetweentwodistrictswithdifferentairqualityindex AT ruanliming microbiomeinhealthywomenbetweentwodistrictswithdifferentairqualityindex AT liang microbiomeinhealthywomenbetweentwodistrictswithdifferentairqualityindex AT liuxiaoyan microbiomeinhealthywomenbetweentwodistrictswithdifferentairqualityindex |