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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.
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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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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