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Neuropsychiatric symptoms of COVID-19 explained by SARS-CoV-2 proteins' mimicry of human protein interactions

Authors :
Eser, Hale Yapıcı (ORCID 0000-0003-0318-2770 & YÖK ID 134359); Keskin Özkaya, Zehra Özlem (ORCID 0000-0002-4202-4049 & YÖK ID 26605); Gürsoy, Attila (ORCID 0000-0002-2297-2113 & YÖK ID 8745); Köroğlu, Yunus Emre;Çakmak, Özgür Öztop (ORCID 0000-0003-3413-0332 & YÖK ID 299358); Gürsoy Özdemir, Yasemin (ORCID 0000-0002-0860-8964 & YÖK ID 170592) (ORCID 0000-0002-0860-8964 & YÖK ID 170592)
Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM)
School of Medicine; College of Engineering; Graduate School of Sciences and Engineering
Department of Chemical and Biological Engineering; Department of Computational Sciences and Engineering
Eser, Hale Yapıcı (ORCID 0000-0003-0318-2770 & YÖK ID 134359); Keskin Özkaya, Zehra Özlem (ORCID 0000-0002-4202-4049 & YÖK ID 26605); Gürsoy, Attila (ORCID 0000-0002-2297-2113 & YÖK ID 8745); Köroğlu, Yunus Emre;Çakmak, Özgür Öztop (ORCID 0000-0003-3413-0332 & YÖK ID 299358); Gürsoy Özdemir, Yasemin (ORCID 0000-0002-0860-8964 & YÖK ID 170592) (ORCID 0000-0002-0860-8964 & YÖK ID 170592)
Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM)
School of Medicine; College of Engineering; Graduate School of Sciences and Engineering
Department of Chemical and Biological Engineering; Department of Computational Sciences and Engineering
Source :
Frontiers in Human Neuroscience
Publication Year :
2021

Abstract

The first clinical symptoms focused on the presentation of coronavirus disease 2019 (COVID-19) have been respiratory failure, however, accumulating evidence also points to its presentation with neuropsychiatric symptoms, the exact mechanisms of which are not well known. By using a computational methodology, we aimed to explain the molecular paths of COVID-19 associated neuropsychiatric symptoms, based on the mimicry of the human protein interactions with SARS-CoV-2 proteins. Methods: available 11 of the 29 SARS-CoV-2 proteins’ structures have been extracted from Protein Data Bank. HMI-PRED (Host-Microbe Interaction PREDiction), a recently developed web server for structural PREDiction of protein-protein interactions (PPIs) between host and any microbial species, was used to find the “interface mimicry” through which the microbial proteins hijack host binding surfaces. Classification of the found interactions was conducted using the PANTHER Classification System. Results: predicted Human-SARS-CoV-2 protein interactions have been extensively compared with the literature. Based on the analysis of the molecular functions, cellular localizations and pathways related to human proteins, SARS-CoV-2 proteins are found to possibly interact with human proteins linked to synaptic vesicle trafficking, endocytosis, axonal transport, neurotransmission, growth factors, mitochondrial and blood-brain barrier elements, in addition to its peripheral interactions with proteins linked to thrombosis, inflammation and metabolic control. Conclusion: SARS-CoV-2-human protein interactions may lead to the development of delirium, psychosis, seizures, encephalitis, stroke, sensory impairments, peripheral nerve diseases, and autoimmune disorders. Our findings are also supported by the previous in vivo and in vitro studies from other viruses. Further in vivo and in vitro studies using the proteins that are pointed here, could pave new targets both for avoiding and reversing neuropsychiatric prese<br />Science Academy's Young Scientists' Award Program (BAGEP)

Details

Database :
OAIster
Journal :
Frontiers in Human Neuroscience
Notes :
text/academic publication, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1276935430
Document Type :
Electronic Resource