MODELLING THE EFFECT OF METAL NANOMATERIAL INDUCED INFLAMMATION ON THE BRADYKININ SYSTEM TO ELUCIDATE COVID-19 PATHOGENESIS USING THE ADVERSE OUTCOME PATHWAY FRAMEWORK: THE CIAO PROJECT
On this page:
The coronavirus disease (COVID-19) has been declared a global pandemic by the World Health Organization. Researchers around the world have mobilized to study the SARS-CoV-2 virus and the resulting disease, generating a flood of biological data from a wide range of disciplines. COVID-19 has been linked to many adverse health outcomes, including myocarditis, acute respiratory distress, and deep vein thrombosis. To resolve ambiguity in the COVID-19 disease process, there is a need for an organized data structure to assist scientists in understanding how COVID-19 affects the many populations groups that have been impacted by this disease. The Adverse Outcome Pathway (AOP) framework is an ideal structure for this task.
An interdisciplinary project called CIAO (Modelling the pathogenesis of COVID-19 using the Adverse Outcome Pathway framework) has been initiated by the European Joint Research Center to address this need. One goal of the CIAO project is to assist researchers in identifying likely adverse outcomes that can result from a patient’s clinical history to help direct individualized treatment.
As a pilot effort, we focus specifically on inflammation in COVID-19 disease as part of the Bradykinin pathway. Established information in the EPA Adverse Outcome Pathway Database (AOP-DB; aopdb.epa.gov) and WikiPathways (wikipathways.org) that describe Bradykinin-induced inflammation are related to activation by metal and metal oxides nanomaterial exposures, such as titanium dioxide (TiO2). Exposure to TiO2 augments production of reactive oxygen species (ROS), which leads to oxidative stress in humans and upregulates inflammatory biomarkers associated with adverse cardiovascular outcomes. By utilizing established information from the AOP-DB and WikiPathways to build and categorize COVID-19 data being generated world-wide, we present a model to better organize and understand the COVID-19 biological health impacts and methods of remediation. This abstract does not reflect EPA Policy.