id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-102458-7sssm3zk	Milanez-Almeida, Pedro	Blood gene expression-based prediction of lethality after respiratory infection by influenza A virus in mice	2020-10-27		.txt	text/plain	4637	172	42	During training (i.e., model selection via cross-validation), the algorithm learned that 11 genes had expression values in blood that could be linearly combined to generate a scoring system of infected animals as a function of the day of death ( In both the multinomial and the lethal Cox models, high levels of expression of genes associated with monocytes and neutrophils, together with low levels of transcripts associated with lymphocytes, indicated high risk of death (Fig. S3 ), consistent with previously described analyses of the immune response to IAV infection (10, 12, 13) and also recent data from COVID-19 patients (29). While the lack of accuracy later in the course of infection (i.e., days seven and eight) was likely due to the fact that the model was trained for early detection of lethality, before adaptive immune cells fully developed and reached the circulation, these data suggest that PAMPs and DAMPs eventually reach different levels in the lungs of different mice, impacting their blood cell composition and lethal score, which can be used for prediction of lethality of individual animals even in the challenging scenario of experimental infection with an 1 LD50 IAV dose.	./cache/cord-102458-7sssm3zk.txt	./txt/cord-102458-7sssm3zk.txt