id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-340085-ywg4rhnn	Maras, J. S.	Multi-Omics integration analysis of respiratory specimen characterizes baseline molecular determinants associated with COVID-19 diagnosis.	2020-07-07		.txt	text/plain	7383	476	42	Quantitative proteomics identified significant increase in 6 SARS-CoV-2 proteins along with ACE2 in the respiratory specimen of COVID-19 positive patients compared to negative patients (p<0.05, Figure 1C , H1N1 samples did not enrich any or associated proteins). /2020 Diagnostic accuracy: Amongst the identified DEP's, mean decrease in the accuracy (calculated by random forest; 1000 trees) was highest for MX1 (MX Dynamin like GTPase 1) and WARS (Tryptophan--tRNA ligase) making them the most important proteins for segregating COVID-19 positive patients from negative or H1N1 patients ( Figure Together these findings showed that COVID-19 positive patients have virus mediated hyper immune activation involving monocytes and neutrophils, deregulated oxygen transport, increased fluid shear stress, bacterial invasion of the epithelial cells and glucose metabolism. Viral infection are also known for metabolic reprograming of host (Thaker et al., 2019) and proteome analysis of the respiratory specimen showed that there is significant increase in proteins associated to glucose metabolism suggesting that SARS-CoV-2 induces energy metabolism (Supplementary Figure 18 ).	./cache/cord-340085-ywg4rhnn.txt	./txt/cord-340085-ywg4rhnn.txt