ACE2 Interaction Networks in COVID-19: A Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors

ACE2 Interaction Networks in COVID-19: A Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors

Background: 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-Conve...

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Bibliographic Details
Main Authors: Zofia Wicik, Ceren Eyileten, Daniel Jakubik, Sérgio N. Simões, David C. Martins, Rodrigo Pavão, Jolanta M. Siller-Matula, Marek Postula
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Journal of Clinical Medicine
Subjects:
ACE2
COVID-19
SARS-CoV-2
cardiovascular
gene expression
miRNA
Online Access:https://www.mdpi.com/2077-0383/9/11/3743

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