Microbiota stratification identifies disease-specific alterations in neuro-Behçet's disease and multiple sclerosis.
Clin Exp Rheumatol
; 37 Suppl 121(6): 58-66, 2019.
Article
en En
| MEDLINE
| ID: mdl-31172918
ABSTRACT
OBJECTIVES:
Altered gut microbiota community dynamics are implicated in diverse human diseases including inflammatory disorders such as neuro-Behçet's disease (NBD) and multiple sclerosis (MS). Traditionally, microbiota communities are analysed uniformly across control and disease groups, but recent reports of subsample clustering indicate a potential need for analytical stratification. The objectives of this study are to analyse and compare faecal microbiota community signatures of ethno-geographical, age and gender matched adult healthy controls (HC), MS and NBD individuals.METHODS:
Faecal microbiota community compositions in adult HC (n=14), NBD patients (n=13) and MS (n=13) were analysed by 16S rRNA gene sequencing and standard bioinformatics pipelines. Bipartite networks were then used to identify and re-analyse dominant compositional clusters in respective groups.RESULTS:
We identified Prevotella and Bacteroides dominated subsample clusters in HC, MS, and NBD cohorts. Our study confirmed previous reports that Prevotella is a major dysbiotic target in these diseases. We demonstrate that subsample stratification is required to identify significant disease-associated microbiota community shifts with increased Clostridiales evident in Prevotella-stratified NBD and Bacteroides-stratified MS patients.CONCLUSIONS:
Patient cohort stratification may be needed to facilitate identification of common microbiota community shifts for causation testing in disease.
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Base de datos:
MEDLINE
Asunto principal:
Síndrome de Behçet
/
Disbiosis
/
Microbiota
/
Microbioma Gastrointestinal
/
Esclerosis Múltiple
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Clin Exp Rheumatol
Año:
2019
Tipo del documento:
Article