Metabolic dyshomeostasis induced by SARS-CoV-2 structural proteins reveals immunological insights into viral olfactory interactions

Date
2022Author
Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión publicada / Argitaratu den bertsioa
Project Identifier
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110356RB-I00/ES/ ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)/PI17%2F02119/ES/ ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII)/PI20%2F00010/ES/ //COV20-00237 European Commission/Horizon 2020 Framework Program/848166

Impact
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10.3389/fimmu.2022.866564
Abstract
One of the most common symptoms in COVID-19 is a sudden loss of smell. SARS-CoV-2 has been detected in the olfactory bulb (OB) from animal models and sporadically in COVID-19 patients. To decipher the specific role over the SARS-CoV-2 proteome at olfactory level, we characterized the in-depth molecular imbalance induced by the expression of GFP-tagged SARS-CoV-2 structural proteins (M, N, E, S) o ...
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One of the most common symptoms in COVID-19 is a sudden loss of smell. SARS-CoV-2 has been detected in the olfactory bulb (OB) from animal models and sporadically in COVID-19 patients. To decipher the specific role over the SARS-CoV-2 proteome at olfactory level, we characterized the in-depth molecular imbalance induced by the expression of GFP-tagged SARS-CoV-2 structural proteins (M, N, E, S) on mouse OB cells. Transcriptomic and proteomic trajectories uncovered a widespread metabolic remodeling commonly converging in extracellular matrix organization, lipid metabolism and signaling by receptor tyrosine kinases. The molecular singularities and specific interactome expression modules were also characterized for each viral structural factor. The intracellular molecular imbalance induced by each SARS-CoV-2 structural protein was accompanied by differential activation dynamics in survival and immunological routes in parallel with a differentiated secretion profile of chemokines in OB cells. Machine learning through a proteotranscriptomic data integration uncovered TGF-beta signaling as a confluent activation node by the SARS-CoV-2 structural proteome. Taken together, these data provide important avenues for understanding the multifunctional immunomodulatory properties of SARS-CoV-2 M, N, S and E proteins beyond their intrinsic role in virion formation, deciphering mechanistic clues to the olfactory inflammation observed in COVID-19 patients. [--]
Subject
Bioinformatics,
Immune response,
Proteomics,
SARS-CoV-2,
Smell,
Transcriptomics
Publisher
Frontiers Media
Published in
Frontiers in Immunology 2022, 13 (866564) 1-19
Departament
Universidad Pública de Navarra. Departamento de Ciencias de la Salud /
Nafarroako Unibertsitate Publikoa. Osasun Zientziak Saila
Publisher version
Sponsorship
This work was funded by grants from the Spanish Ministry of Science, Innovation and Universities (Ref. PID2019-110356RB-I00/AEI/10.13039/501100011033) to JF-I. and ES), the Department of Economic and Business Development from Government of Navarra (Ref. 0011-1411-2020-000028 to ES), the Instituto de Salud Carlos III (ISCIII)-FEDER project grants (Ref. FIS PI17/02119, FIS PI20/00010; COV20-00237 to DE), the Department of Health of the Government of Navarre (Ref: BMED 050-2019 to DE) and the European Project Horizon 2020 (ref: ID: 848166; Improved vaccination for older adults-ISOLDA to DE).
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Except where otherwise noted, this item's license is described as © 2022 Lachén-Montes, Mendizuri, Ausín, Echaide, Blanco, Chocarro, de Toro, Escors, Fernández-Irigoyen, Kochan and Santamaría. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)