<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>9(11)</volume><submitter>Wicik Z</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (coronavirus disease 2019; COVID-19) is associated with adverse outcomes in patients with cardiovascular disease (CVD). The aim of the study was to characterize the interaction between SARS-CoV-2 and Angiotensin-Converting Enzyme 2 (ACE2) functional networks with a focus on CVD.&lt;h4>Methods&lt;/h4>Using the network medicine approach and publicly available datasets, we investigated ACE2 tissue expression and described ACE2 interaction networks that could be affected by SARS-CoV-2 infection in the heart, lungs and nervous system. We compared them with changes in ACE-2 networks following SARS-CoV-2 infection by analyzing public data of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). T</pubmed_abstract><journal>Journal of clinical medicine</journal><pagination>E3743</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7700637</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>ACE2 Interaction Networks in COVID-19: A Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors.</pubmed_title><pmcid>PMC7700637</pmcid><pubmed_authors>Pavao R</pubmed_authors><pubmed_authors>Postula M</pubmed_authors><pubmed_authors>Wicik Z</pubmed_authors><pubmed_authors>Jakubik D</pubmed_authors><pubmed_authors>Simoes SN</pubmed_authors><pubmed_authors>Siller-Matula JM</pubmed_authors><pubmed_authors>Martins DC</pubmed_authors><pubmed_authors>Eyileten C</pubmed_authors></additional><is_claimable>false</is_claimable><name>ACE2 Interaction Networks in COVID-19: A Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors.</name><description>&lt;h4>Background&lt;/h4>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (coronavirus disease 2019; COVID-19) is associated with adverse outcomes in patients with cardiovascular disease (CVD). The aim of the study was to characterize the interaction between SARS-CoV-2 and Angiotensin-Converting Enzyme 2 (ACE2) functional networks with a focus on CVD.&lt;h4>Methods&lt;/h4>Using the network medicine approach and publicly available datasets, we investigated ACE2 tissue expression and described ACE2 interaction networks that could be affected by SARS-CoV-2 infection in the heart, lungs and nervous system. We compared them with changes in ACE-2 networks following SARS-CoV-2 infection by analyzing public data of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). T</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Nov</publication><modification>2026-07-10T03:10:32.19Z</modification><creation>2021-02-20T02:55:00Z</creation></dates><accession>S-EPMC7700637</accession><cross_references><pubmed>33233425</pubmed><doi>10.3390/jcm9113743</doi></cross_references></HashMap>