High-Level PM2.5/PM10 Exposure Is Associated With Alterations in the Human Pharyngeal Microbiota Composition

From BugSigDB
Reviewed Marked as Reviewed by Claregrieve1 on 2022/10/29
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Qin T, Zhang F, Zhou H, Ren H, Du Y, Liang S, Wang F, Cheng L, Xie X, Jin A, Wu Y, Zhao J, Xu J
Journal
Frontiers in microbiology
Year
2019
Keywords:
PM2.5/PM10, microbiome composition, pharynx, respiratory pathogen, smoking
Previous studies showed that high concentration of particulate matter (PM) 2.5 and PM10 carried a large number of bacterial and archaeal species, including pathogens and opportunistic pathogens. In this study, pharyngeal swabs from 83 subjects working in an open air farmer's market were sampled before and after exposure to smog with PM2.5 and PM10 levels up to 200 and 300 μg/m3, respectively. Their microbiota were investigated using high-throughput sequencing targeting the V3-V4 regions of the 16S rRNA gene. The genus level phylotypes was increased from 649 to 767 in the post-smog pharyngeal microbiota, of which 142 were new and detected only in the post-smog microbiota. The 142 new genera were traced to sources such as soil, marine, feces, sewage sludge, freshwater, hot springs, and saline lakes. The abundance of the genera Streptococcus, Haemophilus, Moraxella, and Staphylococcus increased in the post-smog pharyngeal microbiota. All six alpha diversity indices and principal component analysis showed that the taxonomic composition of the post-smog pharyngeal microbiota was significantly different to that of the pre-smog pharyngeal microbiota. Redundancy analysis showed that the influences of PM2.5/PM10 exposure and smoking on the taxonomic composition of the pharyngeal microbiota were statistically significant (p < 0.001). Two days of exposure to high concentrations of PM2.5/PM10 changed the pharyngeal microbiota profiles, which may lead to an increase in respiratory diseases. Wearing masks could reduce the effect of high-level PM2.5/PM10 exposure on the pharyngeal microbiota.

Experiment 1


Reviewed Marked as Reviewed by Claregrieve1 on 2022/10/29

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): Claregrieve1, WikiWorks, Victoria

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Cavity of pharynx Cavitas pharyngealis,Cavitas pharyngis,Lumen of pharynx,Pharyngeal cavity,Cavity of pharynx,cavity of pharynx
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Air pollution air pollution,Air pollution
Group 0 name Corresponds to the control (unexposed) group for case-control studies
pre-smog swabs
Group 1 name Corresponds to the case (exposed) group for case-control studies
post-smog swabs
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Vendors in an open-air farer's market who worked in the same place and were exposed to smog over the same business hours
Group 0 sample size Number of subjects in the control (unexposed) group
83
Group 1 sample size Number of subjects in the case (exposed) group
83

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

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
LEfSe
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.001
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
4

Alpha Diversity

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

Signature 1

Reviewed Marked as Reviewed by Claregrieve1 on 2022/10/29

Curated date: 2021/01/10

Curator: Victoria Goulbourne

Revision editor(s): Claregrieve1, WikiWorks

Source: Figure S3

Description: Histogram of unique biomarker bacteria in each group as analyzed by linear discriminant analysis effect size (LefSe)

Abundance in Group 1: increased abundance in post-smog swabs

NCBI Quality ControlLinks
Veillonellaceae
Bacilli
Leptotrichia

Revision editor(s): Claregrieve1, WikiWorks

Signature 2

Reviewed Marked as Reviewed by Claregrieve1 on 2022/10/29

Curated date: 2021/01/10

Curator: Victoria Goulbourne

Revision editor(s): Claregrieve1, WikiWorks

Source: Figure S3

Description: Histogram of unique biomarker bacteria in each group as analyzed by linear discriminant analysis effect size (LefSe)

Abundance in Group 1: decreased abundance in post-smog swabs

NCBI Quality ControlLinks
Betaproteobacteria
Prevotella

Revision editor(s): Claregrieve1, WikiWorks