Deciphering Gut Microbiota Dysbiosis and Corresponding Genetic and Metabolic Dysregulation in Psoriasis Patients Using Metagenomics Sequencing
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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
Xiao S, Zhang G, Jiang C, Liu X, Wang X, Li Y, Cheng M, Lv H, Xian F, Guo X, Tan Y
Journal
Frontiers in cellular and infection microbiology
Year
2021
Keywords:
genetic functions, gut microbiota, metabolites, metagenomics sequencing, psoriasis
BACKGROUND: Increasing evidence has shown that alterations in the intestinal microbiota play an important role in the pathogenesis of psoriasis. The existing relevant studies focus on 16S rRNA gene sequencing, but in-depth research on gene functions and comprehensive identification of microbiota is lacking. OBJECTIVES: To comprehensively identify characteristic gut microbial compositions, genetic functions and relative metabolites of patients with psoriasis and to reveal the potential pathogenesis of psoriasis. METHODS: DNA was extracted from the faecal microbiota of 30 psoriatic patients and 15 healthy subjects, and metagenomics sequencing and bioinformatic analyses were performed. The Kyoto Encyclopedia of Genes and Genomes (KEGG) database, cluster of orthologous groups (COG) annotations, and metabolic analyses were used to indicate relative target genes and pathways to reveal the pathogenesis of psoriasis. RESULTS: Compared with healthy individuals, the gut microbiota of psoriasis patients displayed an alteration in microbial taxa distribution, but no significant difference in microbial diversity. A distinct gut microbial composition in patients with psoriasis was observed, with an increased abundance of the phyla Firmicutes, Actinobacteria and Verrucomicrobia and genera Faecalibacterium, Bacteroides, Bifidobacterium, Megamonas and Roseburia and a decreased abundance of the phyla Bacteroidetes, Euryarchaeota and Proteobacteria and genera Prevotella, Alistipes, and Eubacterium. A total of 134 COGs were predicted with functional analysis, and 15 KEGG pathways, including lipopolysaccharide (LPS) biosynthesis, WNT signaling, apoptosis, bacterial secretion system, and phosphotransferase system, were significantly enriched in psoriasis patients. Five metabolites, hydrogen sulfide (H2S), isovalerate, isobutyrate, hyaluronan and hemicellulose, were significantly dysregulated in the psoriatic cohort. The dysbiosis of gut microbiota, enriched pathways and dysregulated metabolites are relevant to immune and inflammatory response, apoptosis, the vascular endothelial growth factor (VEGF) signaling pathway, gut-brain axis and brain-skin axis that play important roles in the pathogenesis of psoriasis. CONCLUSIONS: A clear dysbiosis was displayed in the gut microbiota profile, genetic functions and relative metabolites of psoriasis patients. This study is beneficial for further understanding the inflammatory pathogenesis of psoriasis and could be used to develop microbiome-based predictions and therapeutic approaches.
Experiment 1
Reviewed Marked as Reviewed by Svetlana up on 2025-4-7
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
- Psoriasis Other and unspecified pityriasis,OTHER PSORIASIS,Other psoriasis and similar disorders,Other psoriasis and similar disorders (disorder),Other psoriasis and similar disorders excluding psoriatic arthropathy,Palmoplantaris Pustulosis,PITYRIASIS NEC & NOS,PSORIAS RELATED DIS NEC,Psoriases,psoriasis,Psoriasis and similar disorders,Psoriasis and similar disorders (disorder),Psoriasis and similar disorders (navigational concept),Psoriasis and similar disorders NOS,Psoriasis and similar disorders NOS (disorder),Pustular Psoriasis of Palms and Soles,PUSTULAR PSORIASIS OF PALMS SOLES,Pustulosis of Palms and Soles,PUSTULOSIS OF PALMS SOLES,Pustulosis Palmaris et Plantaris,Psoriasis
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Healthy donors
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Psoriasis patients
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Patients with Psoriasis
- Group 0 sample size Number of subjects in the control (unexposed) group
- 15
- Group 1 sample size Number of subjects in the case (exposed) group
- 30
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 6 months
Lab analysis
- Sequencing type
- WMS
- 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
- 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
- 2
- Matched on Factors on which subjects have been matched on in a case-control study
- age, body mass index, sex
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- unchanged
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-4-7
Source: Figure 5A and 5B
Description: Differentially abundant bacteria between psoriasis and control groups
Abundance in Group 1: decreased abundance in Psoriasis patients
Revision editor(s): Tosin
Experiment 2
Reviewed Marked as Reviewed by Svetlana up on 2025-4-7
Differences from previous experiment shown
Subjects
Lab analysis
Statistical Analysis
- Statistical test
- Mann-Whitney (Wilcoxon)
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- Not specified
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- unchanged
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-4-7
Source: Table 2A and 2B
Description: Taxonomic differences between the psoriasis patients and controls at the family (A) and genus (B) levels
Abundance in Group 1: decreased abundance in Psoriasis patients
Revision editor(s): Tosin
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