Biliary Microbiota in Choledocholithiasis and Correlation With Duodenal Microbiota
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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
Han J, Wu S, Fan Y, Tian Y, Kong J
Journal
Frontiers in cellular and infection microbiology
Year
2021
Keywords:
antimicrobial resistance, biliary microbiota, choledocholithiasis, duodenal microbiota, duodenal–biliary reflux
BACKGROUND: The pathogenesis of choledocholithiasis is closely related to the role of bacteria. However, little is known about the predictive role of bile bacteria in clinical conditions of patients and the compositional and functional characteristics of biliary microbiota in choledocholithiasis. METHODS: To investigate the predictive value of biliary bacteria, clinical data of 488 patients with choledocholithiasis were collected. The predictive value of common bile bacteria to patients' clinical conditions was analyzed by logistic regression. Samples of bile and corresponding duodenal juice from 10 selected patients with choledocholithiasis were obtained, and the composition and function of microbial communities were analyzed based on 16S rRNA sequencing and Tax4Fun. RESULTS: The clinical conditions of patients with choledocholithiasis, such as recurrence, the severity of acute cholangitis, and duration of hospital stay were closely related to different species of bile bacteria as well as antimicrobial-resistant bacteria. Employing 16S rRNA sequencing, the dominant phyla of biliary and duodenal microbiota were Proteobacteria and Firmicutes. The top three core microbiota at the genus level were Escherichia-Shigella, Fusobacterium, and Enterococcus. Escherichia coli accounted for the most abundant annotated species in both. Differences in composition between biliary and duodenal microbiota were not significant according to the alpha and beta diversities. Differential abundant features were not found in biliary microbiota indicated by A linear discriminant analysis effective size algorithm. The major pathways identified in biliary and duodenal microbiota were related to membrane transport, translation, replication and repair, carbohydrate and amino acid metabolism. However, no significant difference in those major pathways, as well as antimicrobial-resistance patterns, was observed between biliary and duodenal microbiota. CONCLUSION: Our study first demonstrates the predictive contribution of biliary bacteria to the clinical conditions of patients with choledocholithiasis, and then it offers new insights into the compositional and functional features of biliary and duodenal microbiota. Similarities between biliary and duodenal microbiota support the theory of bacterial duodenal-biliary reflux in patients with choledocholithiasis. Meanwhile, when it is impracticable to obtain a bile sample, duodenal juice may be used as an alternative for bacterial culture and susceptibility tests.
Experiment 1
Subjects
- Location of subjects
- United States of America
- 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
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- dermatomyositis [X]Dermatopolymyositis, unspecified,[X]Dermatopolymyositis, unspecified (disorder),adult dermatomyositis,Adult Type Dermatomyositides,Adult Type Dermatomyositis,Amyopathic dermatomyositis,Dermatomyositides,Dermatomyositides, Adult Type,dermatomyositis,Dermatomyositis (disorder),Dermatomyositis, Adult Type,Dermatomyositis, Childhood Type,Dermatopolymyositides,Dermatopolymyositis,dermatopolymyositis,Dermatopolymyositis, unspecified,Dermatopolymyositis, unspecified (disorder),DM,DM - Dermatomyositis,Polydermatomyositis,Polymyositis Dermatomyositis,Polymyositis with skin involvement,polymyositis with skin involvement,Polymyositis-Dermatomyositides,Polymyositis-Dermatomyositis,Wagner-Unverricht syndrome
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- healthy controls
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- dermatomyositis
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Patients with dermatomyositis
- Group 0 sample size Number of subjects in the control (unexposed) group
- 26
- Group 1 sample size Number of subjects in the case (exposed) group
- 36
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 24-hour
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- Not specified
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Ion Torrent
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- 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)?
- No
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- decreased
- Chao1 Abundance-based estimator of species richness
- decreased
Signature 1
Source: Figure 1A
Description: Comparing the overall microbial composition in dermatomyositis and healthy control samples by PERMANOVA
Abundance in Group 1: increased abundance in dermatomyositis
NCBI | Quality Control | Links |
---|---|---|
Bacteroidaceae | ||
Bacteroidales | ||
Bacteroidia | ||
Segatella copri | ||
Prevotella denticola |
Signature 2
Source: Figure 1A
Description: Comparing the overall microbial composition in dermatomyositis and healthy control samples by PERMANOVA
Abundance in Group 1: increased abundance in dermatomyositis
NCBI | Quality Control | Links |
---|---|---|
Bacteroidales | ||
Bacteroidaceae | ||
Segatella copri | ||
Bacteroides | ||
Prevotella denticola |
Revision editor(s): Merit
Signature 3
Source: Figure 1A
Description: Comparing the overall microbial composition in dermatomyositis and healthy control samples by PERMANOVA
Abundance in Group 1: decreased abundance in dermatomyositis
NCBI | Quality Control | Links |
---|---|---|
Lachnospiraceae | ||
Eubacteriales | ||
Chlamydia |
Revision editor(s): Merit
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