eprintid: 10172369 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/17/23/69 datestamp: 2023-06-26 10:28:04 lastmod: 2023-06-26 10:28:04 status_changed: 2023-06-26 10:28:04 type: article metadata_visibility: show sword_depositor: 699 creators_name: El-Agnaf, O creators_name: Bensmail, I creators_name: Al-Nesf, MAY creators_name: Flynn, J creators_name: Taylor, M creators_name: Majbour, NK creators_name: Abdi, IY creators_name: Vaikath, NN creators_name: Farooq, A creators_name: Vemulapalli, PB creators_name: Schmidt, F creators_name: Ouararhni, K creators_name: Al-Siddiqi, HH creators_name: Arredouani, A creators_name: Wijten, P creators_name: Al-Maadheed, M creators_name: Mohamed-Ali, V creators_name: Decock, J creators_name: Abdesselem, HB title: Uncovering a neurological protein signature for severe COVID-19 ispublished: pub divisions: UCL divisions: B02 divisions: C10 divisions: D17 keywords: Severe COVID-19, Neurological complications, Olink proteomics, Protein signature note: © 2023 The Author(s). Published by Elsevier Inc. under a Creative Commons license (http://creativecommons.org/licenses/by/4.0/). 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. date: 2023 date_type: published publisher: Elsevier BV official_url: https://doi.org/10.1016/j.nbd.2023.106147 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2023129 doi: 10.1016/j.nbd.2023.106147 medium: Print-Electronic pii: S0969-9961(23)00161-4 lyricists_name: Mohamed Ali, Vidya lyricists_name: Al-Mansouri, Maryam lyricists_id: VMOHA48 lyricists_id: MAAAL15 actors_name: Al-Mansouri, Maryam actors_id: MAAAL15 actors_role: owner funding_acknowledgements: [Qatar Biomedical Research Institute]; MRC-05-003 [Hamad Medical Corporation] full_text_status: public publication: Neurobiology of Disease volume: 182 article_number: 106147 event_location: United States citation: El-Agnaf, O; Bensmail, I; Al-Nesf, MAY; Flynn, J; Taylor, M; Majbour, NK; Abdi, IY; ... Abdesselem, HB; + view all <#> El-Agnaf, O; Bensmail, I; Al-Nesf, MAY; Flynn, J; Taylor, M; Majbour, NK; Abdi, IY; Vaikath, NN; Farooq, A; Vemulapalli, PB; Schmidt, F; Ouararhni, K; Al-Siddiqi, HH; Arredouani, A; Wijten, P; Al-Maadheed, M; Mohamed-Ali, V; Decock, J; Abdesselem, HB; - view fewer <#> (2023) Uncovering a neurological protein signature for severe COVID-19. Neurobiology of Disease , 182 , Article 106147. 10.1016/j.nbd.2023.106147 <https://doi.org/10.1016/j.nbd.2023.106147>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10172369/1/Uncovering%20a%20neurological%20protein%20signature%20for%20severe%20COVID-19.pdf