id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-325700-f102uk2m	Fraser, Douglas D.	Metabolomics Profiling of Critically Ill Coronavirus Disease 2019 Patients: Identification of Diagnostic and Prognostic Biomarkers	2020-10-21		.txt	text/plain	5674	297	40	Feature selection identified the top-performing metabolites for identifying coronavirus disease 2019 positive patients from healthy control subjects and was dominated by increased kynurenine and decreased arginine, sarcosine, and lysophosphatidylcholines. Feature selection identified the top-performing metabolites for identifying coronavirus disease 2019 positive patients from healthy control subjects and was dominated by increased kynurenine and decreased arginine, sarcosine, and lysophosphatidylcholines. Metabolomics profiling of critically ill COVID19 patients over the first 10 days of their ICU stay was the overall aim of this exploratory study, thereby identifying potential metabolite candidates and/or combinations as diagnostic/prognostic biomarkers. Figure 1A shows a t-SNE plot illustrating that the ICU day 1 COVID19+ patient metabolome was distinct and easily separable from age-and sex-matched healthy control subjects. Our exploratory data indicate the presence of a unique COVID19 plasma metabolome dominated by changes in kynurenine, arginine, sarcosine, and LysoPCs. Additionally, we identify that either creatinine alone or a creatinine/arginine ratio predicted ICU mortality with 100% accuracy.	./cache/cord-325700-f102uk2m.txt	./txt/cord-325700-f102uk2m.txt