ACE2 Interaction Networks in COVID-19: A Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors.
Zofia WicikCeren EyiletenDaniel JakubikSérgio N SimõesDavid C MartinsRodrigo PavãoJolanta M Siller-MatulaMarek PostulaPublished in: Journal of clinical medicine (2020)
Our study provides a complete mechanistic framework for investigating the ACE2 network which was validated by expression data. This framework predicted risk groups, including the established ones, thus providing reliable novel information regarding the complexity of signaling pathways affected by SARS-CoV-2. It also identified miRNAs that could be used in personalized diagnosis in COVID-19.
Keyphrases
- sars cov
- cardiovascular risk factors
- coronavirus disease
- respiratory syndrome coronavirus
- angiotensin converting enzyme
- poor prognosis
- angiotensin ii
- signaling pathway
- cardiovascular disease
- metabolic syndrome
- electronic health record
- health information
- type diabetes
- big data
- social media
- oxidative stress
- machine learning