id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-355943-bezpprrk	Li, Y.	Urine Proteome of COVID-19 Patients	2020-05-06		.txt	text/plain	4439	278	50	In this study, we performed proteomic profiling of urine samples from 32 healthy control individuals and 6 COVID-19 positive patients (3 mild and 3 severe). We found that urine proteome samples from the mild and severe COVID-19 patients with comorbidities can be clearly differentiated from healthy proteome samples based on the clustering analysis. We identified and quantified 1380 and 1641 proteins in urine samples from COVID-19 and two recovery person in total, which was significantly lower than that of healthy controls ( Figure 2B and 2C , Tables S2 and S3 ). The molecular features used to distinguish the patient type (M and S) in our classifier ( Figure 5B and 5D, Tables S4-5) contain several potential biomarkers which were highly associated with the clinical characteristics of mild and severe COVID-19. . https://doi.org/10.1101/2020.05.02.20088666 doi: medRxiv preprint dysregulated proteins in the COVID-19 patients.	./cache/cord-355943-bezpprrk.txt	./txt/cord-355943-bezpprrk.txt