Shift in skin microbiota of Western European women across aging

Study information

Needs review

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

29791788

DOI Digital object identifier for electronic documents.

10.1111/jam.13929

URI Uniform resource identifier for web resources.

Authors

Jugé R, Rouaud-Tinguely P, Breugnot J, Servaes K, Grimaldi C, Roth MP, Coppin H, Closs B

Journal

Journal of applied microbiology

Year

2018

AIMS: The objective of our study was to compare the microbiota diversity between two different age groups of Western European women. METHODS AND RESULTS: Skin-swab samples were collected directly on the forehead of 34 healthy Western European women: 17 younger (21-31 years old) and 17 older individuals (54-69 years old). Bacterial communities were evaluated using the 16S rRNA gene sequencing. Data revealed a higher alpha diversity on the skin of older individuals compared with younger ones. Overall microbiota structure was different between the two age groups, as demonstrated by beta diversity analysis, which also highlighted a high interpersonal variation within older individuals. Furthermore, taxonomic composition analysis showed both an increase in Proteobacteria and a decrease in Actinobacteria on the older skin. At the genus level, older skin exhibited a significant increase in Corynebacterium and a decrease in Propionibacterium relative abundance. CONCLUSIONS: Our study revealed a shift in the distribution of skin microbiota during chronological aging in Western European women. SIGNIFICANCE AND IMPACT OF STUDY: Altogether these results could become the basis to develop new approaches aiming to rebalance the skin microbiota, which is modified during the aging process.

Experiment 1

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Curated date: 2021/01/10

Curator: WikiWorks

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Subjects

Location of subjects: France

Host species Species from which microbiome was sampled (if applicable): Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Skin of body Entire integument,Entire skin,Integument,Integumental organ,Pelt,Skin,Skin organ,Skin of body

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: age age

Group 0 name Corresponds to the control (unexposed) group for case-control studies: younger age
Group 1 name Corresponds to the case (exposed) group for case-control studies: older age European women
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: aging
Group 0 sample size Number of subjects in the control (unexposed) group: 17
Group 1 sample size Number of subjects in the case (exposed) group: 17
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 1 month

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V3-V4

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Statistical test: LEfSe

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: No
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 3

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: increased
Chao1 Abundance-based estimator of species richness: unchanged
Richness Number of species: unchanged

Signature 1

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Mark reviewed

Your review change was submitted

Needs review

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Figure 4, Figure S1, Figure s2

Description: Taxonomic analysis of forehead microbiota using LEfSe between older and younger european women

Abundance in Group 1: increased abundance in older age European women

NCBI	Links
Arthrobacter ⚠
Sneathia
Moraxellaceae
Pseudomonadales
Corynebacterium
Halomonadaceae
Halomonas
Oceanospirillales
Neisseriaceae
Neisseriales
Betaproteobacteria
Pseudomonadota