TY - JOUR
T1 - In silico and in vitro studies reveal complement system drives coagulation cascade in SARS-CoV-2 pathogenesis
AU - Tiwari, Ritudhwaj
AU - Mishra, Anurag R.
AU - Mikaeloff, Flora
AU - Gupta, Soham
AU - Mirazimi, Ali
AU - Byrareddy, Siddappa N.
AU - Neogi, Ujjwal
AU - Nayak, Debasis
N1 - Publisher Copyright:
© 2020 The Authors
PY - 2020/1
Y1 - 2020/1
N2 - The emergence and continued spread of SARS-CoV-2 have resulted in a public health emergency across the globe. The lack of knowledge on the precise mechanism of viral pathogenesis is impeding medical intervention. In this study, we have taken both in silico and in vitro experimental approaches to unravel the mechanism of viral pathogenesis associated with complement and coagulation pathways. Based on the structural similarities of viral and host proteins, we initially generated a protein-protein interactome profile. Further computational analysis combined with Gene Ontology (GO) analysis and KEGG pathway analysis predicted key annotated pathways associated with viral pathogenesis. These include MAPK signaling, complement, and coagulation cascades, endocytosis, PD-L1 expression, PD-1 checkpoint pathway in cancer and C-type lectin receptor signaling pathways. Degree centrality analysis pinned down to MAPK1, MAPK3, AKT1, and SRC are crucial drivers of signaling pathways and often overlap with the associated pathways. Most strikingly, the complement and coagulation cascade and platelet activation pathways are interconnected, presumably directing thrombotic activity observed in severe or critical cases of COVID-19. This is complemented by in vitro studies of Huh7 cell infection and analysis of the transcriptome and proteomic profile of gene candidates during viral infection. The most known candidates associated with complement and coagulation cascade signaling by KEGG pathway analysis showed significant up-regulated fold change during viral infection. Collectively both in silico and in vitro studies suggest complement and coagulation cascade signaling are a mechanism for intravascular coagulation, thrombotic changes, and associated complications in severe COVID-19 patients.
AB - The emergence and continued spread of SARS-CoV-2 have resulted in a public health emergency across the globe. The lack of knowledge on the precise mechanism of viral pathogenesis is impeding medical intervention. In this study, we have taken both in silico and in vitro experimental approaches to unravel the mechanism of viral pathogenesis associated with complement and coagulation pathways. Based on the structural similarities of viral and host proteins, we initially generated a protein-protein interactome profile. Further computational analysis combined with Gene Ontology (GO) analysis and KEGG pathway analysis predicted key annotated pathways associated with viral pathogenesis. These include MAPK signaling, complement, and coagulation cascades, endocytosis, PD-L1 expression, PD-1 checkpoint pathway in cancer and C-type lectin receptor signaling pathways. Degree centrality analysis pinned down to MAPK1, MAPK3, AKT1, and SRC are crucial drivers of signaling pathways and often overlap with the associated pathways. Most strikingly, the complement and coagulation cascade and platelet activation pathways are interconnected, presumably directing thrombotic activity observed in severe or critical cases of COVID-19. This is complemented by in vitro studies of Huh7 cell infection and analysis of the transcriptome and proteomic profile of gene candidates during viral infection. The most known candidates associated with complement and coagulation cascade signaling by KEGG pathway analysis showed significant up-regulated fold change during viral infection. Collectively both in silico and in vitro studies suggest complement and coagulation cascade signaling are a mechanism for intravascular coagulation, thrombotic changes, and associated complications in severe COVID-19 patients.
KW - ARDS
KW - Cytokines storm
KW - MAPK1/MAPK3
KW - Neutrophil degranulation
KW - SARS-CoV-2
KW - Thrombosis
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U2 - 10.1016/j.csbj.2020.11.005
DO - 10.1016/j.csbj.2020.11.005
M3 - Article
C2 - 33200027
AN - SCOPUS:85097181646
SN - 2001-0370
VL - 18
SP - 3734
EP - 3744
JO - Computational and Structural Biotechnology Journal
JF - Computational and Structural Biotechnology Journal
ER -