Uncovering the interplay between hypertension and the inflammatory response for the patient affected by COVID-19 via mathematical modeling and computer-based analysis
EPiC Series in Computing
; 92:25-34, 2023.
Artículo
en Inglés
| Scopus | ID: covidwho-20240945
ABSTRACT
We explore here the systems-based regulatory mechanisms that determine human blood pressure patterns. This in the context of the reported negative association between hypertension and COVID-19 disease. We are particularly interested in the key role that plays angiotensin converting enzyme 2 (ACE2), one of the first identified receptors that enable the entry of the SARS-CoV-2 virus into a cell. Taking into account the two main systems involved in the regulation of blood pressure, that is, the Renin-Angiotensin system and the Kallikrein-Kinin system, we follow a Bottom-Up systems biology modeling approach in order to built the discrete Boolean model of the gene regulatory network that underlies both the typical hypertensive phenotype and the hypotensive/normotensive phenotype. These phenotypes correspond to the dynamic attractors of the regulatory network modeled on the basis of publicly available experimental information. Our model recovers the observed phenotypes and shows the key role played by the inflammatory response in the emergence of hypertension. Source code go to the next url https//github.com/cxro-cc/red_ras_kks © 2023, EasyChair. All rights reserved.
Blood; Computer aided analysis; Coronavirus; COVID-19; Medical computing; Angiotensin-converting enzyme 2; Bottom up; Computer-based analysis; Human bloods; Inflammatory response; Mathematical model based analysis; Pressure patterns; Regulatory mechanism; Renin-angiotensin system; Systems biology; Blood pressure
Texto completo:
Disponible
Colección:
Bases de datos de organismos internacionales
Base de datos:
Scopus
Idioma:
Inglés
Revista:
EPiC Series in Computing
Año:
2023
Tipo del documento:
Artículo
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