About: The aging transcriptome and cellular landscape of the human lung in relation to SARS-CoV-2

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	The aging transcriptome and cellular landscape of the human lung in relation to SARS-CoV-2
Creator	Chen, Sidi Chow, Ryan
source	BioRxiv
abstract	Since the emergence of SARS-CoV-2 in December 2019, Coronavirus Disease-2019 (COVID-19) has rapidly spread across the globe. Epidemiologic studies have demonstrated that age is one of the strongest risk factors influencing the morbidity and mortality of COVID-19. Here, we interrogate the transcriptional features and cellular landscapes of the aging human lung through integrative analysis of bulk and single-cell transcriptomics. By intersecting these age-associated changes with experimental data on host interactions between SARS-CoV-2 or its relative SARS-CoV, we identify several age-associated factors that may contribute to the heightened severity of COVID-19 in older populations. We observed that age-associated gene expression and cell populations are significantly linked to the heightened severity of COVID-19 in older populations. The aging lung is characterized by increased vascular smooth muscle contraction, reduced mitochondrial activity, and decreased lipid metabolism. Lung epithelial cells, macrophages, and Th1 cells decrease in abundance with age, whereas fibroblasts, pericytes and CD4+ Tcm cells increase in abundance with age. Several age-associated genes have functional effects on SARS-CoV replication, and directly interact with the SARS-CoV-2 proteome. Interestingly, age-associated genes are heavily enriched among those induced or suppressed by SARS-CoV-2 infection. These analyses illuminate potential avenues for further studies on the relationship between the aging lung and COVID-19 pathogenesis, which may inform strategies to more effectively treat this disease.
has issue date	2020-04-15(xsd:dateTime)
bibo:doi	10.1101/2020.04.07.030684
has license	biorxiv
sha1sum (hex)	56816e072e2af57957c7c6dcbbccd714463004bb
schema:url	https://doi.org/10.1101/2020.04.07.030684
resource representing a document's title	The aging transcriptome and cellular landscape of the human lung in relation to SARS-CoV-2
schema:publication	bioRxiv
resource representing a document's body	covid:56816e072e2af57957c7c6dcbbccd714463004bb#body_text
is schema:about of	named entity 'COVID-19' named entity 'morbidity' named entity 'COVID' named entity 'gene expression' named entity 'human lung' »more»

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