Insights into the gut microbiome of vitiligo patients from India
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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.
Authors
Kumar S, Mahajan S, Kale D, Chourasia N, Khan A, Asati D, Kotnis A, Sharma VK
Journal
BMC microbiology
Year
2024
Keywords:
Autoimmune disease, Dysbiosis, Gut Microbiome, Gut-skin axis, Vitiligo
BACKGROUND: Vitiligo is an autoimmune disease characterized by loss of pigmentation in the skin. It affects 0.4 to 2% of the global population, but the factors that trigger autoimmunity remain elusive. Previous work on several immune-mediated dermatological disorders has illuminated the substantial roles of the gut microbiome in disease pathogenesis. Here, we examined the gut microbiome composition in a cohort of vitiligo patients and healthy controls from India, including patients with a family history of the disease. RESULTS: Our results show significant alterations in the gut microbiome of vitiligo patients compared to healthy controls, affecting taxonomic and functional profiles as well as community structure. We observed a reduction in the abundance of several bacterial taxa commonly associated with a healthy gut microbiome and noted a decrease in the abundance of SCFA (Short Chain Fatty Acids) producing taxa in the vitiligo group. Observation of a higher abundance of genes linked to bacteria-mediated degradation of intestinal mucus suggested a potential compromise of the gut mucus barrier in vitiligo. Functional analysis also revealed a higher abundance of fatty acid and lipid metabolism-related genes in the vitiligo group. Combined analysis with data from a French cohort of vitiligo also led to the identification of common genera differentiating healthy and gut microbiome across populations. CONCLUSION: Our observations, together with available data, strengthen the role of gut microbiome dysbiosis in symptom exacerbation and possibly pathogenesis in vitiligo. The reported microbiome changes also showed similarities with other autoimmune disorders, suggesting common gut microbiome-mediated mechanisms in autoimmune diseases. Further investigation can lead to the exploration of dietary interventions and probiotics for the management of these conditions.
Experiment 1
Needs review
Subjects
- Location of subjects
- India
- 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
- Vitiligo VAMAS6,vitiligo,vitiligo-associated multiple autoimmune disease susceptibility 6,Vitiligo
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Healthy Control
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Vitiligo Patients
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Patients diagnosed with Vitiligo
- 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
- 22
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- antibiotics were excluded from this study
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V3
- 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
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 2.0
- Matched on Factors on which subjects have been matched on in a case-control study
- age, Matched on: "gender" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.gender
Alpha Diversity
- Pielou Quantifies how equal the community is numerically
- unchanged
- Shannon Estimator of species richness and species evenness: more weight on species richness
- unchanged
- Richness Number of species
- unchanged
- Faith Phylogenetic diversity, takes into account phylogenetic distance of all taxa identified in a sample
- unchanged
Signature 1
Needs review
Source: Table S7
Description: Differentially abundant genera and species identified by LEfSe analysis in the control and vitiligo groups.
Abundance in Group 1: increased abundance in Vitiligo Patients
| NCBI | Quality Control | Links |
|---|---|---|
| Parabacteroides merdae | ||
| Prevotella | ||
| Segatella copri |
Revision editor(s): Shulamite, Ifeanyisam
Signature 2
Needs review
Source: Table S7
Description: Differentially abundant genera and species identified by LEfSe analysis in the control and vitiligo groups.
Abundance in Group 1: decreased abundance in Vitiligo Patients
Revision editor(s): Shulamite, Ifeanyisam
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