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Gut Microbiota Changes in Patients with Bipolar Depression.

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TLDR
The gut microbiota in depressed patients with bipolar disorder is characterized and the first to evaluate microbial changes following quetiapine monotherapy and Gut microbiota‐based biomarkers may be helpful in BD diagnosis and predicting treatment outcome, which need further validations.
Abstract
This study aims to characterize the gut microbiota in depressed patients with bipolar disorder (BD) compared with healthy controls (HCs), to examine the effects of quetiapine treatment on the microbiota, and to explore the potential of microbiota as a biomarker for BD diagnosis and treatment outcome. Analysis of 16S-ribosomal RNA gene sequences reveals that gut microbial composition and diversity are significantly different between BD patients and HCs. Phylum Bacteroidetes and Firmicutes are the predominant bacterial communities in BD patients and HCs, respectively. Lower levels of butyrate-producing bacteria are observed in untreated patients. Microbial composition changes following quetiapine treatment in BD patients. Notably, 30 microbial markers are identified on a random forest model and achieve an area under the curve (AUC) of 0.81 between untreated patients and HCs. Ten microbial markers are identified with the AUC of 0.93 between responder and nonresponder patients. This study characterizes the gut microbiota in BD and is the first to evaluate microbial changes following quetiapine monotherapy. Gut microbiota-based biomarkers may be helpful in BD diagnosis and predicting treatment outcome, which need further validations.

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Journal ArticleDOI

Perturbations in Gut Microbiota Composition in Psychiatric Disorders. A Review and Meta-analysis

TL;DR: In this paper, the authors conducted an umbrella and updated meta-analysis of gut microbiota alterations in general adult psychiatric populations and performed a within-and between-diagnostic comparison, concluding that gut microbiota perturbations were associated with a transdiagnostic pattern with a depletion of certain anti-inflammatory butyrate-producing bacteria and an enrichment of pro-inflammatory bacteria in patients with depression, bipolar disorder, schizophrenia, and anxiety.
Journal ArticleDOI

Towards a psychobiotic therapy for depression: Bifidobacterium breve CCFM1025 reverses chronic stress-induced depressive symptoms and gut microbial abnormalities in mice.

TL;DR: Bifidobacterium breve CCFM1025 showed considerable antidepressant-like and microbiota-regulating effects, which opens avenues for novel therapeutic strategies towards treating depression.
Journal ArticleDOI

A systematic review of gut microbiota composition in observational studies of major depressive disorder, bipolar disorder and schizophrenia

TL;DR: In this paper , the authors synthesized the current literature investigating differences in gut microbiota composition in people with the major psychiatric disorders, major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ), compared to healthy controls.
Journal ArticleDOI

The gut microbiota and mental health in adults

TL;DR: The heterogeneity between studies precludes conclusions regarding differences in microbiota composition in mental disease and health and many of the studies are limited by a cross-sectional design, small sample sizes and multiple comparisons, so well-designed longitudinal studies with larger sample size, accounting for confounders are needed.
References
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Journal ArticleDOI

Random Forests

TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Journal Article

The Mini-International Neuropsychiatric Interview (M.I.N.I.) : The development and validation of a Structured Diagnostic Psychiatric Interview for DSM-IV and ICD-10

TL;DR: The Mini-International Neuropsychiatric Interview is designed to meet the need for a short but accurate structured psychiatric interview for multicenter clinical trials and epidemiology studies and to be used as a first step in outcome tracking in nonresearch clinical settings.
Journal ArticleDOI

Search and clustering orders of magnitude faster than BLAST

Robert C. Edgar
- 01 Oct 2010 - 
TL;DR: UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters and offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets.
Journal ArticleDOI

Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy

TL;DR: The RDP Classifier can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes, and the majority of the classification errors appear to be due to anomalies in the current taxonomies.
Journal ArticleDOI

A new method for non-parametric multivariate analysis of variance

TL;DR: In this article, a non-parametric method for multivariate analysis of variance, based on sums of squared distances, is proposed. But it is not suitable for most ecological multivariate data sets.
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