Pieter C. Dorrestein

TL;DR: The results suggested that multi-omics approaches, and metabolomics analysis in particular, could enhance treatment prediction and reveal patients most likely to improve posttreatment.

TL;DR: After searching millions of spectra in the Global Natural Products Social (GNPS) molecular networking infrastructure against just eight genomic and metagenomic datasets, MetaMiner discovered 31 known and seven unknown RiPPs from diverse microbial communities, including human microbiome and lichen microbiome, and microorganisms isolated from the International Space Station.

TL;DR: This study adds to the evidence base linking disrupted sleep to the gut microbiome and expands it to the fecal metabolome, identifying sleep disruption-sensitive bacterial taxa and classes of metabolites that may serve as therapeutic targets to improve health after poor sleep.

TL;DR: In cases of severe CF lung disease, proteolysis by host enzymes creates an amino acid-rich environment that P. aeruginosa comes to dominate, which may contribute to the pathogen’s persistence by providing its preferred carbon source.

TL;DR: The reconstruction of a novel genome-scale model of metabolism and macromolecular synthesis (ME-model) is described to gain new insights into the biology of the model acetogen Clostridium ljungdahlii and reveals how protein allocation and media composition influence metabolic pathways and energy conservation in acetogens.