Depression Phenotype Identified by Using Single Nucleotide Exact Amplicon Sequence Variants of the Human Gut Microbiome

Overview

Journal Mol Psychiatry

Specialties Molecular Biology
Psychiatry

Date 2020 Jan 29

PMID 31988436

Citations 38

Authors

Bruce R Stevens

Luiz Roesch

Priscila Thiago

Jordan T Russell

Carl J Pepine

Richard C Holbert

Mohan K Raizada

Eric W Triplett

Affiliations

Soon will be listed here.

Abstract

Single nucleotide exact amplicon sequence variants (ASV) of the human gut microbiome were used to evaluate if individuals with a depression phenotype (DEPR) could be identified from healthy reference subjects (NODEP). Microbial DNA in stool samples obtained from 40 subjects were characterized using high throughput microbiome sequence data processed via DADA2 error correction combined with PIME machine-learning de-noising and taxa binning/parsing of prevalent ASVs at the single nucleotide level of resolution. Application of ALDEx2 differential abundance analysis with assessed effect sizes and stringent PICRUSt2 predicted metabolic pathways. This multivariate machine-learning approach significantly differentiated DEPR (n = 20) vs. NODEP (n = 20) (PERMANOVA P < 0.001) based on microbiome taxa clustering and neurocircuit-relevant metabolic pathway network analysis for GABA, butyrate, glutamate, monoamines, monosaturated fatty acids, and inflammasome components. Gut microbiome dysbiosis using ASV prevalence data may offer the diagnostic potential of using human metaorganism biomarkers to identify individuals with a depression phenotype.

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