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Barb, J. J.

Publications and source records attributed to Barb, J. J..

2 recordsLinked to original sources

The effect of minocycline on the gut microbiome in individuals with alcohol use disorder and healthy controls

Alcohol Use Disorder (AUD) is associated with altered gut microbial composition. Yet, many microbiome studies have included AUD populations with co-occurring conditions (e.g., alcohol associated liver disease; ALD), limiting insight into unique contributions of AUD to gut dysbiosis. Further, preclinical studies show that gut microbiome composition can mediate the behavioral effects of minocycline, including alcohol-related and affective behaviors, but no studies have tested these effects in humans with AUD. This study aimed to 1) compare gut microbiome features between healthy controls (HCs) and individuals with AUD, without ALD, and 2) determine the effects of minocycline on the human gut microbiome. We conducted a four-week randomized, double-blind, placebo-controlled trial of minocycline (100-200 mg/day) in adults with AUD (n=31) and HCs (n=26). We collected fecal samples (n=244) at baseline and each weekly visit for 16S rRNA gene sequencing. Alpha diversity (richness and evenness of taxa within a sample) did not differ by diagnostic group, treatment, or time. In contrast, beta diversity (microbiome composition differences between samples) differed between AUD and controls and was shifted by minocycline over time. AUD, vs. controls, was associated with differences in several taxa prevalences, including reduced Dialister and Subdoligranulum and increased Collinsella, Streptococcus, and Phascolarctobacterium. Minocycline, vs. placebo, rapidly and robustly restructured the microbiome, altering numerous taxa, including Lachnospira, Ruminococcaceae, Clostridium sensu stricto, and Christensenellaceae, and metabolic pathways (e.g., ubiquinol biosynthesis and methylphosphonate degradation). AUD is associated with a distinct gut microbial composition, whereas minocycline produces rapid, sustained, diagnosis-independent gut microbiome restructuring, without altering alpha diversity.

genomics↗

JAMS - A framework for the taxonomic and functional exploration of microbiological genomic data

Shotgun microbiome sequencing analysis presents several challenges to accurately and consistently depict sample composition and functional potential. Here we present a two-part framework - JAMS (Just a Microbiology System) - whereby with raw fastq files and metadata as input, meaningful analysis within a sample and between a sample can be performed with ease for either shotgun or 16S sequences. JAMS is the first package to provide seamless deconvolution of functions into their taxonomic contributors. We validated our JAMS framework on two human gut shotgun metagenome test datasets against the popular tool MetaPhlAn 4. We further demonstrate the application of the JAMS package, particularly the plotting functions, on a mouse shotgun dataset.

bioinformatics↗