Alterations in the intestinal microbiome and mental health status of workers in an underground tunnel environment
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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
Authors
Lu ZH, Liu YW, Ji ZH, Fu T, Yan M, Shao ZJ, Long Y
Journal
BMC microbiology
Year
2021
Keywords:
16S rRNA, Brain-gut-microbiota axis, Gut microbiome, Mental distress, Underground tunnel environment
BACKGROUND: Working in an underground tunnel environment is unavoidable in professions such as miners and tunnel workers, and there is a concern about the health of these workers. Few studies have addressed alterations in the intestinal microbiome of workers within that environment. RESULTS: Fecal samples were collected from the workers before they entered the tunnel (baseline status, BS) and after they left the tunnel (exposed status, ES), respectively (a time period of 3 weeks between them). We analyzed 16S rRNA sequencing to show the changes in microbial composition and self-evaluation of mental health questionnaire was also performed. The results showed that Shannon and Simpson indices decreased significantly from BS to ES. A higher abundance was found in the phylum Actinobacteria, classes Actinobacteria and Deltaproteobacteria, orders Bifidobacteriales, Coriobacteriales, and Desulfovibrionales, families Bifidobacteriaceae, Peptostreptococcaceae, Coriobacteriaceae, Clostridiaceae_1, Desulfovibrionaceae, Pseudomonadaceae, and Microbacteriaceae, and genera Bifidobacterium, Romboutsia, Clostridium sensu stricto, and Leucobacter in ES, while BS showed greater levels of genera Faecalibacterium and Roseburia. The self-evaluation showed that at least one-half of the tunnel workers experienced one or more symptoms of mental distress (inattention, sleeplessness, loss of appetite, headache or dizziness, irritability) after working in the underground tunnel environment. CONCLUSIONS: Collectively, the underground tunnel environment led to alterations in the intestinal microbiome, which might be relevant to symptoms of mental distress in underground-tunnel workers.
Experiment 1
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
- 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,feces
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Gut microbiome measurement Gut microbiome measurement,gut microbiome measurement
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Workers before entry into an underground tunnel (Baseline status (BS))
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Workers after entry into an underground tunnel (Exposed status (ES))
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Tunnel workers who spent 3 (three) weeks working in the underground tunnel.
- Group 0 sample size Number of subjects in the control (unexposed) group
- 48
- Group 1 sample size Number of subjects in the case (exposed) group
- 48
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V4-V5
- 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)
- 0.05
- 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
- 3.5
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- decreased
- Chao1 Abundance-based estimator of species richness
- unchanged
- Simpson Estimator of species richness and species evenness: more weight on species evenness
- decreased
- Richness Number of species
- unchanged
Signature 1
Source: Figure 3A, Text (page 3)
Description: LEfSe and LDA analysis revealed changes in the taxonomic composition of the gut microbiota in ES (Exposed status) compared to BS (Baseline status) tunnel workers.
Abundance in Group 1: increased abundance in Workers after entry into an underground tunnel (Exposed status (ES))
Revision editor(s): Flo
Signature 2
Source: Figure 3A, Text (page 3)
Description: LEfSe and LDA analysis revealed changes in the taxonomic composition of the gut microbiota in ES (Exposed status) compared to BS (Baseline status) tunnel workers.
Abundance in Group 1: decreased abundance in Workers after entry into an underground tunnel (Exposed status (ES))
| NCBI | Quality Control | Links |
|---|---|---|
| Faecalibacterium | ||
| Roseburia |
Revision editor(s): Flo
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