About: SARS-CoV-2 receptor networks in diabetic kidney disease, BK-Virus nephropathy and COVID-19 associated acute kidney injury

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About: SARS-CoV-2 receptor networks in diabetic kidney disease, BK-Virus nephropathy and COVID-19 associated acute kidney injury Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	SARS-CoV-2 receptor networks in diabetic kidney disease, BK-Virus nephropathy and COVID-19 associated acute kidney injury
Creator	Wang, Yuan Chen, Xi Kasson, Peter Nelson, Robert Boppana, Avinash Kretzler, Matthias Lienczewski, Chrysta Sealfon, Rachel Theesfeld, Chandra Troyanskaya, Olga Berthier, Celine Dagenais, Susan Fermin, Damian Godfrey, Bradley Hartman, John Looker, Helen Mariani, Laura Menon, Rajasree Naik, Abhijit Nair, Viji Otto, Edgar Professor, Parke-Davis Schaub, Jennifer Sohaney, Ryann Subramanian, Lalita Wong, Aaron
Source	MedRxiv; Medline
abstract	COVID-19 morbidity and mortality is significantly increased in patients with diabetes and kidney disease via unknown mechanisms. SARS-CoV-2 uses angiotensin-converting enzyme 2 (ACE2) for entry into human host cells, and ACE2 levels in target cells may influence SARS-CoV-2 susceptibility. We investigated how pre-existing conditions and drug treatments alter receptor expression in kidney tissue. Using single cell RNA profiling (scRNAseq) to assess ACE2 and associated SARS-CoV-2 proteases in healthy living donors (LD) kidneys, diabetic kidney disease (DKD), and in kidney injury during viral infection, ACE2 expression was primarily associated with proximal tubular epithelial cells (PTEC). ACE2 mRNA expression levels were significantly upregulated in DKD versus LD, however, ACE2 levels were not altered by exposures to renin angiotensin aldosterone system (RAAS) inhibitors. ACE2+ expression signatures were defined by differential expression analysis and characterized by Bayesian integrative analysis of a large compendium of public -omics datasets, resulting in the identification of network modules induced in ACE2 positive PTEC in DKD and BK virus nephropathy. These ACE2 upregulated cell programs were linked to viral entry, immune activation, endomembrane reorganization, and RNA processing and overlapped significantly with the cellular responses induced by SARS-CoV-2 infection. Similar cellular programs were activated in ACE2-positive PTEC isolated in a urine sample from a COVID19 patient with acute kidney injury, suggesting a consistent ACE2-coregulated expression program that may interact with SARS-Cov-2 infection processes. The SARS-CoV-2 receptor associated gene signatures could seed further research into therapeutic strategies for COVID-19. Functional networks of gene expression signatures are available for further exploration to researchers at HumanBase (hb.flatironinstitute.org/covid-kidney).
has issue date	2020-05-13(xsd:dateTime)
bibo:doi	10.1101/2020.05.09.20096511
bibo:pmid	32511461
has license	medrxiv
sha1sum (hex)	7571eb2ef3f2162807ab471011ac0dc56dbeb42e
schema:url	https://doi.org/10.1101/2020.05.09.20096511
resource representing a document's title	SARS-CoV-2 receptor networks in diabetic kidney disease, BK-Virus nephropathy and COVID-19 associated acute kidney injury
has PubMed identifier	32511461
schema:publication	medRxiv : the preprint server for health sciences
resource representing a document's body	covid:7571eb2ef3f2162807ab471011ac0dc56dbeb42e#body_text
is schema:about of	named entity 'kidneys' named entity 'expression' named entity 'gene' named entity 'receptor' named entity 'system' named entity 'acute kidney injury' named entity 'COVID-19' named entity 'susceptibility' named entity 'ACE2' named entity 'Bayesian' named entity 'ACE2' named entity 'compendium' named entity 'cell' named entity 'human' named entity 'expression' named entity 'HUMAN' named entity 'GENE' named entity 'IMMUNE ACTIVATION' named entity 'ACUTE KIDNEY INJURY' named entity 'NETWORKS' covid:arg/7571eb2ef3f2162807ab471011ac0dc56dbeb42e named entity 'proteases' named entity 'SARS-CoV-2' named entity 'datasets' named entity 'isolated' named entity 'ACE2' named entity 'exploration' named entity 'programs' named entity 'researchers' named entity 'angiotensin-converting enzyme 2' named entity 'pre-existing conditions' named entity 'linked' named entity 'kidney' named entity 'mortality' named entity 'altered' named entity 'patients' named entity 'kidney' named entity 'angiotensin-converting enzyme 2' named entity 'viral entry' named entity 'DKD' named entity 'infection' named entity 'kidneys' named entity 'expression levels' named entity 'ACE2' named entity 'COVID' named entity 'healthy living' named entity 'ACE2' named entity 'RNA processing' named entity 'ACE2' named entity 'nephropathy' named entity 'Virus' named entity 'SARS-CoV-2' named entity 'renal tubule' named entity 'Biopsy' named entity 'BK Virus' named entity 'ACE inhibitors' named entity 'kidney'

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