Ontology Modeling and Analysis of COVID-19 associated Acute Kidney Injury and Its Underlying Molecular Mechanisms

ABSTRACT

Acute kidney injury (AKI) is found to be common among COVID-19 patients. In this study, we performed extensive literature mining and used the BioGRID COVID-19 interaction data to bridge the mechanistic and molecular link between COVID-19 and AKI. DAVID GO enrichment analysis of the BioGRID data allowed for further filtration of COVID-19 related interactors by their relevance to untoward kidney manifestations. Key physiological processes involved in this pathway include Renin-Angiotensin system (RAS) activation, complement activation, and most importantly, systemic inflammation. Discovered interactors like CD147, CD209, CypA, and MASP2 were found to be heavily implicated in the mentioned processes. The Coronavirus Infectious Disease Ontology (CIDO) was used to represent our analyzed results, leading to further understanding of the COVID-19 associated AKI mechanisms. © 2021 Copyright for this paper by its authors.