Exposure to concentrated ambient PM2.5 alters the composition of gut microbiota in a murine model
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Wang W, Zhou J, Chen M, Huang X, Xie X, Li W, Cao Q, Kan H, Xu Y, Ying Z
Journal
Particle and fibre toxicology
Year
2018
BACKGROUND: Exposure to ambient fine particulate matter (PM2.5) correlates with abnormal glucose homeostasis, but the underlying biological mechanism has not been fully understood. The gut microbiota is an emerging crucial player in the homeostatic regulation of glucose metabolism. Few studies have investigated its role in the PM2.5 exposure-induced abnormalities in glucose homeostasis. METHODS: C57Bl/6J mice were exposed to filtered air (FA) or concentrated ambient PM2.5 (CAP) for 12 months using a versatile aerosol concentration enrichment system (VACES) that was modified for long-term whole-body exposures. Their glucose homeostasis and gut microbiota were examined and analysed by correlation and mediation analysis. RESULTS: Intraperitoneal glucose tolerance test (IPGTT) and insulin tolerance test (ITT) showed that CAP exposure markedly impaired their glucose and insulin tolerance. Faecal microbiota analysis demonstrated that the impairment in glucose homeostasis was coincided with decreased faecal bacterial ACE and Chao-1 estimators (the indexes of community richness), while there was no significant change in all faecal fungal alpha diversity estimators. The Pearson's correlation analyses showed that the bacterial richness estimators were correlated with glucose and insulin tolerance, and the mediation analyses displayed a significant mediation of CAP exposure-induced glucose intolerance by the alteration in the bacterial Chao-1 estimator. LEfSe analyses revealed 24 bacterial and 21 fungal taxa differential between CAP- and FA-exposed animals. Of these, 14 and 20 bacterial taxa were correlated with IPGTT AUC and ITT AUC, respectively, and 5 fungal taxa were correlated with abnormalities in glucose metabolism. CONCLUSIONS: Chronic exposure to PM2.5 causes gut dysbiosis and may subsequently contribute to the development of abnormalities in glucose metabolism.
Experiment 1
Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/29
Subjects
- Location of subjects
- China
- Host species Species from which microbiome was sampled (if applicable)
- Mus musculus
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- air pollution air pollution
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- mice exposed to PM 2.5 (CAP)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- mice exposed to filtered air (FA)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- male C57Bl/6 J mice exposed to PM2.5 (CAP)
- Group 0 sample size Number of subjects in the control (unexposed) group
- 10
- Group 1 sample size Number of subjects in the case (exposed) group
- 10
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V4
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Statistical test
- ANOVA
- 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)?
- Yes
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- increased
- Chao1 Abundance-based estimator of species richness
- increased
- Simpson Estimator of species richness and species evenness: more weight on species evenness
- increased
- Richness Number of species
- unchanged
Signature 1
Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/29
Source: Figure 4 & text
Description: The differential taxa between FA- and CAP-exposed mice
Abundance in Group 1: increased abundance in mice exposed to filtered air (FA)
| NCBI | Links |
|---|---|
| Marvinbryantia | |
| Mycoplasma | |
| Mycoplasmataceae | |
| Mycoplasmatales | |
| Rikenellaceae | |
| Alistipes finegoldii | |
| Metamycoplasma sualvi | |
| Rikenella microfusus ⚠ | |
| Lachnospiraceae bacterium DW52 |
Revision editor(s): Claregrieve1, WikiWorks
Signature 2
Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/29
Source: Figure 4 & text
Description: The differential taxa between FA- and CAP-exposed mice
Abundance in Group 1: decreased abundance in mice exposed to filtered air (FA)
Revision editor(s): Claregrieve1, WikiWorks
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