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Gut microbiota variations in patients diagnosed with major depressive disorder—A systematic review
OBJECTIVE: The etiology of major depressive disorder (MDD) is multi‐factorial and has been associated with a perturbed gut microbiota. Thus, it is therefore of great importance to determine any variations in gut microbiota in patients with MDD. METHODS: A systematic literature search was conducted i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323045/ https://www.ncbi.nlm.nih.gov/pubmed/34047485 http://dx.doi.org/10.1002/brb3.2177 |
Sumario: | OBJECTIVE: The etiology of major depressive disorder (MDD) is multi‐factorial and has been associated with a perturbed gut microbiota. Thus, it is therefore of great importance to determine any variations in gut microbiota in patients with MDD. METHODS: A systematic literature search was conducted including original research articles based on gut microbiota studies performed in patients with MDD. Demographic and clinical characteristics, applied methodology and observed gut microbiota composition were compared between included studies. RESULTS: Seventeen studies were included with a total of 738 patients with MDD and 782 healthy controls using different DNA purification methods, sequencing platforms and data analysis models. Four studies found a reduced α‐diversity in patients with MDD, while gut microbiota compositions clustered separately according to β‐diversity between patients and controls in twelve studies. Additionally, there was an increase in relative abundance of Eggerthella, Atopobium, and Bifidobacterium and a decreased relative abundance of Faecalibacterium in patients with MDD compared with healthy controls. CONCLUSION: Gut microbiota differs significantly when comparing patients with MDD and healthy controls, though inconsistently across studies. The heterogeneity in gut microbiota compositions between the studies may be explained by variations in study design. |
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