About: Interactions of SARS-CoV-2 infection with chronic obesity inflammation: a complex network phenomenon

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About: Interactions of SARS-CoV-2 infection with chronic obesity inflammation: a complex network phenomenon Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Interactions of SARS-CoV-2 infection with chronic obesity inflammation: a complex network phenomenon
Creator	Berton, Juliana Favero, Furmann, Meirielly Giovani, Marino Gomes Mascarenhas, Jeferson, Pedro Luis, Paulo Marino Favero, Giovani
Source	BioRxiv
abstract	Obesity is one of the biggest public health problems in the world, and its pathophysiological characteristics include chronic inflammation with an increase in various circulating inflammatory markers, such as acute inflammatory cytokines. Complications in the respiratory tract are related to bodily problems, which lead to a restriction of lung function due to reduced volume, inducing an increase in respiratory work. SARS-CoV-2 has a high potential for contamination by respiratory secretions and, therefore, obesity is one of the main risk factors for complications due to the association established between obesity, chronic inflammation and respiratory infection. The objective was to analyze the complex relationships between obesity and COVID-19 in a meta-analysis study using complex network modeling and the theoretical knockouts technique. Here, we identify and justify through a mathematical analysis the relationships between all the immunological agents added to the proposed immunological networks, considered as a simple evident interaction, relationship, influence, response, activation, based on our quantifiers. They performed the knockouts of all 52 vertices in the COVID-19 network and obesity - regardless of the environment, which would result in nonsense - and the COVID-19 infection network without considering obesity. The stationary flow vector (flow profile), for some knockouts of immunological interest in COVID-19 infections, was chosen IFNα, IL-6, IL-10, IL-17 and TNFα. This initial study pointed out the importance of chronic inflammation in the obese individual as an important factor in potentiating the disease caused by covid-19 and, in particular, the importance on IL-17.
has issue date	2020-06-12(xsd:dateTime)
bibo:doi	10.1101/2020.06.12.148577
has license	biorxiv
sha1sum (hex)	7d3883bfe3cac931cde22647f0fb23d096ce2b23
schema:url	https://doi.org/10.1101/2020.06.12.148577
resource representing a document's title	Interactions of SARS-CoV-2 infection with chronic obesity inflammation: a complex network phenomenon
schema:publication	bioRxiv
resource representing a document's body	covid:7d3883bfe3cac931cde22647f0fb23d096ce2b23#body_text
is schema:about of	named entity 'public health' named entity 'obesity' named entity 'infection' named entity 'acute' named entity 'circulating' named entity 'Obesity' named entity 'cytokines' named entity 'inflammation' named entity 'transition matrix' named entity 'inflammatory response' named entity 'Obesity' named entity 'clinical study' named entity 'relative error' named entity 'phagocytic activity' named entity 'eigenvector' named entity 'phagocytic' named entity 'IL-8' named entity 'IL-2' named entity 'COVID-19' named entity 'SARS-CoV' named entity 'interferons' named entity 'secretion' named entity 'RNA' named entity 'ordered pair' named entity 'SARS-CoV-2' named entity 'inflammatory process' named entity 'secretion' named entity 'pneumonia' named entity 'Neutrophils' named entity 'TNFα' named entity 'TGFb' named entity 'secretion' named entity 'TGF-β' named entity 'IgM' named entity 'IL-10' named entity 'respiratory tract' named entity 'Neutrophil elastase' named entity 'viral particle' named entity 'IL-10' named entity 'viral infection' named entity 'mutation' named entity 'nasopharynx' named entity 'diabetes mellitus' named entity 'infection' named entity 'IL-6' named entity 'host cell' named entity 'IL-8' named entity 'chronic diseases' named entity 'greater omentum' named entity 'COVID' named entity 'obese people' named entity 'high-risk' named entity '1, 2' named entity 'COVID-19' named entity 'macrophages' named entity 'public health' named entity 'endemic diseases' named entity 'directed edge' named entity 'IgE' named entity 'risk factors' named entity 'eigenvalue' named entity 'mortality risk' named entity 'virus' named entity 'cytokines' named entity 'Dendritic cells' named entity 'inflammatory markers' named entity 'IL-1' named entity 'IL-4' named entity 'IL-8' named entity 'pathophysiological' named entity 'Network 2' named entity 'covid-19' named entity 'oxygen saturation' named entity 'IL-10' named entity 'covid' named entity 'NK cells' named entity 'obesity'

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