id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-103733-blam1f4c	Levade, Inès	Predicting Vibrio cholerae infection and disease severity using metagenomics in a prospective cohort study	2020-06-24		.txt	text/plain	2663	145	41	title: Predicting Vibrio cholerae infection and disease severity using metagenomics in a prospective cohort study cholerae susceptibility and identify predictors of symptomatic disease, we applied deep shotgun metagenomic sequencing to a cohort of household contacts of patients with cholera. Conclusion Our results highlight the power of metagenomics to predict disease outcomes and suggest specific species and genes for experimental testing to investigate mechanisms of microbiome-related protection from cholera. SUMMARY Cholera infection and disease severity can be predicted using metagenomic sequencing of the gut microbiome pre-infection in a prospective cohort, and suggests potentially protective bacterial species and genes. Our metagenomic analysis yielded improved 85 outcome predictions compared to 16S rRNA sequencing, and identified bacterial genes 86 associated with remaining uninfected after exposure to V. Applied to the Midani 230 2018 cohort, this model predicted outcomes significantly better than random (shuffled labels) 231 using species, strains or pathway data, but not gene families ( Table 1 ; see Table S3 for p-232 values).	./cache/cord-103733-blam1f4c.txt	./txt/cord-103733-blam1f4c.txt