Leveraging systems biology for predicting modulators of inflammation in patients with COVID-19.
Sci Adv
; 7(6)2021 02.
Article
in English
| MEDLINE | ID: covidwho-1066791
ABSTRACT
Dysregulations in the inflammatory response of the body to pathogens could progress toward a hyperinflammatory condition amplified by positive feedback loops and associated with increased severity and mortality. Hence, there is a need for identifying therapeutic targets to modulate this pathological immune response. Here, we propose a single cell-based computational methodology for predicting proteins to modulate the dysregulated inflammatory response based on the reconstruction and analysis of functional cell-cell communication networks of physiological and pathological conditions. We validated the proposed method in 12 human disease datasets and performed an in-depth study of patients with mild and severe symptomatology of the coronavirus disease 2019 for predicting novel therapeutic targets. As a result, we identified the extracellular matrix protein versican and Toll-like receptor 2 as potential targets for modulating the inflammatory response. In summary, the proposed method can be of great utility in systematically identifying therapeutic targets for modulating pathological immune responses.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Systems Biology
/
COVID-19
/
Immunologic Factors
/
Inflammation
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Year:
2021
Document Type:
Article
Affiliation country:
Sciadv.abe5735
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