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Uncovering a neurological protein signature for severe COVID-19

El-Agnaf, O; Bensmail, I; Al-Nesf, MAY; Flynn, J; Taylor, M; Majbour, NK; Abdi, IY; ... Abdesselem, HB; + view all (2023) Uncovering a neurological protein signature for severe COVID-19. Neurobiology of Disease , 182 , Article 106147. 10.1016/j.nbd.2023.106147. Green open access

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Abstract

Coronavirus disease of 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has sparked a global pandemic with severe complications and high morbidity rate. Neurological symptoms in COVID-19 patients, and neurological sequelae post COVID-19 recovery have been extensively reported. Yet, neurological molecular signature and signaling pathways that are affected in the central nervous system (CNS) of COVID-19 severe patients remain still unknown and need to be identified. Plasma samples from 49 severe COVID-19 patients, 50 mild COVID-19 patients, and 40 healthy controls were subjected to Olink proteomics analysis of 184 CNS-enriched proteins. By using a multi-approach bioinformatics analysis, we identified a 34-neurological protein signature for COVID-19 severity and unveiled dysregulated neurological pathways in severe cases. Here, we identified a new neurological protein signature for severe COVID-19 that was validated in different independent cohorts using blood and postmortem brain samples and shown to correlate with neurological diseases and pharmacological drugs. This protein signature could potentially aid the development of prognostic and diagnostic tools for neurological complications in post-COVID-19 convalescent patients with long term neurological sequelae.

Type: Article
Title: Uncovering a neurological protein signature for severe COVID-19
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.nbd.2023.106147
Publisher version: https://doi.org/10.1016/j.nbd.2023.106147
Language: English
Additional information: © 2023 The Author(s). Published by Elsevier Inc. under a Creative Commons license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Severe COVID-19, Neurological complications, Olink proteomics, Protein signature
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10172369
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