Corpus overview


MeSH Disease

HGNC Genes

SARS-CoV-2 proteins

There are no SARS-CoV-2 protein terms in the subcorpus


SARS-CoV-2 Proteins
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    ACE2 HGNC interaction networks in COVID-19 MESHD: a physiological framework for prediction of outcome in patients with cardiovascular risk factors

    Authors: Zofia Wicik; Ceren Eyileten; Daniel Jakubik; Rodrigo Pavao; Jolanta M Siller-Matula; Marek Postula

    doi:10.1101/2020.05.13.094714 Date: 2020-05-14 Source: bioRxiv

    BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection MESHD ( coronavirus disease 2019 MESHD; COVID-19 MESHD) is associated with adverse outcome in patients with cardiovascular disease MESHD ( CVD MESHD). AimTo characterize the interaction between SARS-CoV-2 and Angiotensin Converting Enzyme 2 HGNC ( ACE2 HGNC) functional networks with focus on CVD. MethodsUsing bioinformatic tools, network medicine approaches and publicly available datasets, we investigated ACE2 HGNC tissue expression and described ACE2 HGNC interaction network which could be affected by SARS-CoV-2 infection MESHD. We identified top ACE2 HGNC interactors, including miRNAs which are shared regulators between the ACE2 HGNC, virus-infection related proteins and heart interaction networks, using lung and nervous system networks as a reference. We also identified main SARS-CoV-2 risk groups and performed drug predictions for them. ResultsWe found the same range of ACE2 HGNC expression confidence in respiratory and cardiovascular systems (averaging 4.48 and 4.64, respectively). Analysing the complete ACE2 HGNC interaction network, we identified 11 genes ( ACE2 HGNC, DPP4 HGNC, ANPEP HGNC, CCL2 HGNC, TFRC HGNC, MEP1A HGNC, ADAM17 HGNC, FABP2 HGNC, NPC1 HGNC, CLEC4M HGNC, TMPRSS2 HGNC) associated with virus-infection related processes. Previously described genes associated with cardiovascular risk factors DPP4 HGNC, CCL2 HGNC and ANPEP HGNC were extensively connected with top regulators of ACE2 HGNC network, including ACE HGNC, INS and KNG1 HGNC. Enrichment analysis revealed several disease phenotypes associated with interaction networks of ACE2 HGNC, heart tissue, and virus-infection related protein, with the strongest associations with the following diseases (in decreasing rank order): obesity, hypertensive disease, non-insulin dependent diabetes mellitus, congestive heart failure, and coronary artery disease. We described for the first time microRNAs- miR HGNC (miR-302c-5p, miR-1305 HGNC, miR-587 HGNC, miR-26b HGNC-5p, and mir-27a-3p), which were common regulators of the three networks: ACE2 HGNC, heart tissue and virus-infection related proteins. ConclusionOur study provides novel information regarding the complexity of signaling pathways affected by SARS-CoV-2 and proposes predictive tools as miR HGNC towards personalized diagnosis and therapy in COVID-19 MESHD. Additionally, our study provides a list of miRNAs with biomarker potential in prediction of adverse outcome in patients with COVID-19 MESHD and CVD. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/094714v2_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@11e52b0org.highwire.dtl.DTLVardef@1c6d9ceorg.highwire.dtl.DTLVardef@57be3org.highwire.dtl.DTLVardef@8889c_HPS_FORMAT_FIGEXP M_FIG C_FIG

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MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins

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