TY - JOUR
T1 - Factors Modulating COVID-19
T2 - A Mechanistic Understanding Based on the Adverse Outcome Pathway Framework
AU - Clerbaux, Laure Alix
AU - Albertini, Maria Cristina
AU - Amigó, Núria
AU - Beronius, Anna
AU - Bezemer, Gillina F.G.
AU - Coecke, Sandra
AU - Daskalopoulos, Evangelos P.
AU - del Giudice, Giusy
AU - Greco, Dario
AU - Grenga, Lucia
AU - Mantovani, Alberto
AU - Muñoz, Amalia
AU - Omeragic, Elma
AU - Parissis, Nikolaos
AU - Petrillo, Mauro
AU - Saarimäki, Laura A.
AU - Soares, Helena
AU - Sullivan, Kristie
AU - Landesmann, Brigitte
N1 - Funding Information:
The work was performed under the JRC Exploratory Research project CIAO—Modelling COVID-19 pathogenesis using the Adverse Outcome Pathway (AOP). Julija Filipovska for her careful reading and valuable inputs.
Funding: This research was funded by the Academy of Finland (grand number 322761) for D.G., G.d.G. and L.A.S. and by Fundação para a Ciência e Tecnologia through CEECIND/01049/2020 for H.S. For the other authors, this research received no external funding.
PY - 2022/8
Y1 - 2022/8
N2 - Addressing factors modulating COVID-19 is crucial since abundant clinical evidence shows that outcomes are markedly heterogeneous between patients. This requires identifying the factors and understanding how they mechanistically influence COVID-19. Here, we describe how eleven selected factors (age, sex, genetic factors, lipid disorders, heart failure, gut dysbiosis, diet, vitamin D deficiency, air pollution and exposure to chemicals) influence COVID-19 by applying the Adverse Outcome Pathway (AOP), which is well-established in regulatory toxicology. This framework aims to model the sequence of events leading to an adverse health outcome. Several linear AOPs depicting pathways from the binding of the virus to ACE2 up to clinical outcomes observed in COVID-19 have been developed and integrated into a network offering a unique overview of the mechanisms underlying the disease. As SARS-CoV-2 infectibility and ACE2 activity are the major starting points and inflammatory response is central in the development of COVID-19, we evaluated how those eleven intrinsic and extrinsic factors modulate those processes impacting clinical outcomes. Applying this AOP-aligned approach enables the identification of current knowledge gaps orientating for further research and allows to propose biomarkers to identify of high-risk patients. This approach also facilitates expertise synergy from different disciplines to address public health issues.
AB - Addressing factors modulating COVID-19 is crucial since abundant clinical evidence shows that outcomes are markedly heterogeneous between patients. This requires identifying the factors and understanding how they mechanistically influence COVID-19. Here, we describe how eleven selected factors (age, sex, genetic factors, lipid disorders, heart failure, gut dysbiosis, diet, vitamin D deficiency, air pollution and exposure to chemicals) influence COVID-19 by applying the Adverse Outcome Pathway (AOP), which is well-established in regulatory toxicology. This framework aims to model the sequence of events leading to an adverse health outcome. Several linear AOPs depicting pathways from the binding of the virus to ACE2 up to clinical outcomes observed in COVID-19 have been developed and integrated into a network offering a unique overview of the mechanisms underlying the disease. As SARS-CoV-2 infectibility and ACE2 activity are the major starting points and inflammatory response is central in the development of COVID-19, we evaluated how those eleven intrinsic and extrinsic factors modulate those processes impacting clinical outcomes. Applying this AOP-aligned approach enables the identification of current knowledge gaps orientating for further research and allows to propose biomarkers to identify of high-risk patients. This approach also facilitates expertise synergy from different disciplines to address public health issues.
KW - adverse outcome pathway
KW - age
KW - co-morbidities
KW - COVID-19
KW - environment
KW - lifestyle
KW - modulating factors
KW - pre-existing conditions
KW - SARS-CoV-2 infection
KW - sex
UR - http://www.scopus.com/inward/record.url?scp=85136912033&partnerID=8YFLogxK
U2 - 10.3390/jcm11154464
DO - 10.3390/jcm11154464
M3 - Review article
AN - SCOPUS:85136912033
SN - 2077-0383
VL - 11
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 15
M1 - 4464
ER -