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
Bae SS, Dong TS, Wang J, Lagishetty V, Katzka W, Jacobs JP, Charles-Schoeman C
Journal
ACR open rheumatology
Year
2022
OBJECTIVE: The study objective was to compare the microbial composition of patients with dermatomyositis (DM) and healthy controls (HCs) and determine whether microbial alterations are associated with clinical manifestations of DM. METHODS: The 16S ribosomal RNA gene sequencing was performed on fecal samples from patients with DM and HCs. Microbial composition and diversity were compared between subjects with DM and HCs and in association with several DM-specific clinical variables, including myositis-specific autoantibodies (MSAs). Differentially abundant microbial taxa and genes associated with clinical characteristics were identified, and functional analysis was performed using predicted metagenomics. Dietary intake was assessed using a 24-hour dietary recall. RESULTS: The fecal microbiome of 36 patients with DM and 26 HCs were analyzed. Patients with DM trended toward lower microbial diversity compared with HCs. The higher physician global damage score was significantly correlated with the lower microbial diversity in patients with DM. Patients with interstitial lung disease (ILD)-associated MSA (antisynthetase antibody (ab), anti-melanoma differentiation-associated protein 5 ab, n = 12) had significant differences in microbial composition and lower microbial diversity compared with HCs. Differential abundance testing demonstrated a unique taxonomic signature in the ILD-MSA subgroup, and predictive metagenomics identified functional alterations in a number of metabolic pathways. A significant increase in the relative abundance of Proteobacteria was positively correlated with multiple pathways involved in lipopolysaccharide synthesis and transport in the ILD-MSA group. CONCLUSION: Patients with DM, particularly with ILD-associated MSAs, have lower microbial diversity and a distinct taxonomic composition compared with HCs. Further studies are needed to validate our findings and elucidate specific pathogenetic mechanisms that link the gut microbiome to clinical and pathological features of DM.
Statistical test
DESeq2
Experiment 1
Subjects
- Location of subjects
- United States of America
- 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
- 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)
- 3 months
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V4
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- 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
- 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 | Links |
---|---|
Bacteroidales | |
Bacteroidaceae | |
Bacteroides | |
Prevotella copri | |
Prevotella denticola |
Revision editor(s): Merit
Signature 2
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 | Links |
---|---|
Lachnospiraceae | |
Chlamydia | |
Eubacteriales |
Revision editor(s): Merit
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