Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29394
Title: Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease
Authors: Liew, F
Efstathiou, C
Fontanella, S
Richardson, M
Saunders, R
Swieboda, D
Sidhu, JK
Ascough, S
Moore, SC
Mohamed, N
Nunag, J
King, C
Leavy, OC
Elneima, O
McAuley, HJC
Shikotra, A
Singapuri, A
Sereno, M
Harris, VC
Houchen-Wolloff, L
Greening, NJ
Lone, NI
Thorpe, M
Thompson, AAR
Rowland-Jones, SL
Docherty, AB
Chalmers, JD
Ho, LP
Horsley, A
Raman, B
Poinasamy, K
Marks, M
Kon, OM
Howard, LS
Wootton, DG
Quint, JK
de Silva, TI
Ho, A
Chiu, C
Harrison, EM
Greenhalf, W
Baillie, JK
Semple, MG
Turtle, L
Evans, RA
Wain, LV
Brightling, C
Thwaites, RS
Openshaw, PJM
Abel, K
Adamali, H
Adeloye, D
Adeyemi, O
Adrego, R
Jimenez, LA
Ahmad, S
Haider, NA
Ahmed, R
Ahwireng, N
Ainsworth, M
Alamoudi, A
Ali, M
Aljaroof, M
Allan, L
Allen, R
Allerton, L
Allsop, L
Allt, AM
Almeida, P
Al-Sheklly, B
Altmann, D
Corral, MA
Amoils, S
Anderson, D
Antoniades, C
Arbane, G
Arias, AM
Armour, C
Armstrong, L
Armstrong, N
Arnold, D
Arnold, H
Ashish, A
Ashworth, A
Ashworth, M
Aslani, S
Assefa-Kebede, H
Atkin, P
Atkin, C
Aul, R
Aung, H
Austin, L
Avram, C
Avramidis, N
Ayoub, A
Babores, M
Baggott, R
Bagshaw, J
Baguley, D
Bailey, E
Keywords: inflammasome;inflammation;innate immunity
Issue Date: 8-Apr-2024
Publisher: Nature Research (part of Springer Nature)
Citation: Liew, F. et al. for the PHOSP-COVID collaborative group and the ISARIC investigators (2024) 'Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease', Nature Immunology, 2024, 25 (4), pp. 607 - 621. doi: 10.1038/s41590-024-01778-0.
Abstract: One in ten severe acute respiratory syndrome coronavirus 2 infections result in prolonged symptoms termed long coronavirus disease (COVID), yet disease phenotypes and mechanisms are poorly understood1. Here we profiled 368 plasma proteins in 657 participants ≥3 months following hospitalization. Of these, 426 had at least one long COVID symptom and 233 had fully recovered. Elevated markers of myeloid inflammation and complement activation were associated with long COVID. IL-1R2, MATN2 and COLEC12 were associated with cardiorespiratory symptoms, fatigue and anxiety/depression; MATN2, CSF3 and C1QA were elevated in gastrointestinal symptoms and C1QA was elevated in cognitive impairment. Additional markers of alterations in nerve tissue repair (SPON-1 and NFASC) were elevated in those with cognitive impairment and SCG3, suggestive of brain–gut axis disturbance, was elevated in gastrointestinal symptoms. Severe acute respiratory syndrome coronavirus 2-specific immunoglobulin G (IgG) was persistently elevated in some individuals with long COVID, but virus was not detected in sputum. Analysis of inflammatory markers in nasal fluids showed no association with symptoms. Our study aimed to understand inflammatory processes that underlie long COVID and was not designed for biomarker discovery. Our findings suggest that specific inflammatory pathways related to tissue damage are implicated in subtypes of long COVID, which might be targeted in future therapeutic trials.
Description: Data availability: This is an open access article under the CC BY 4.0 license. The PHOSP-COVID protocol, consent form, definition and derivation of clinical characteristics and outcomes, training materials, regulatory documents, information about requests for data access, and other relevant study materials are available online at ref. 76. Access to these materials can be granted by contacting phosp@leicester.ac.uk and Phospcontracts@leicester.ac.uk. The ISARIC4C protocol, data sharing and publication policy are available at https://isaric4c.net. ISARIC4C’s Independent Data and Material Access Committee welcomes applications for access to data and materials (https://isaric4c.net). The datasets used in the study contain extensive clinical information at an individual level that prevent them from being deposited in an public depository due to data protection policies of the study. Study data can only be accessed via the ODAP, a protected research environment. All data used in this study are available within ODAP and accessible under reasonable request. Data access criteria and information about how to request access is available online at ref. 76. If criteria are met and a request is made, access can be gained by signing the eDRIS user agreement.
Code availability: Code was written within the ODAP, using R v4.2.0 and publicly available packages (‘data.table v1.14.2’, ‘EnvStats v2.7.0’, ‘tidyverse v1.3.2’, ‘lme4 v1.1-32’, ‘caret v6.0-93’, ‘glmnet v4.1-6’, ‘mdatools v0.14.0’, ‘ggpubbr v0.4.0’, ‘ggplot2 v3.3.6’, ‘bootnet v1.5.6’ and ‘qgraph v1.9.8’ packages). No new algorithms or functions were created and code used in-built functions in listed packages available on CRAN. The code used to generate data and to analyze data is publicly available at https://github.com/isaric4c/wiki/wiki/ISARIC; https://github.com/SurgicalInformatics/cocin_cc and https://github.com/ClaudiaEfstath/PHOSP_Olink_NatImm.
URI: https://bura.brunel.ac.uk/handle/2438/29394
DOI: https://doi.org/10.1038/s41590-024-01778-0
ISSN: 1529-2908
Other Identifiers: ORCiD: Claudia Efstathiou https://orcid.org/0000-0001-6125-8126
ORCiD: Shona C. Moore https://orcid.org/0000-0001-8610-2806
ORCiD: Jose Nunag https://orcid.org/0000-0002-4218-0500
ORCiD: Amisha Singapuri https://orcid.org/0009-0002-4711-7516
ORCiD: Marco Sereno https://orcid.org/0000-0003-4573-9303
ORCiD: Linzy Houchen-Wolloff https://orcid.org/0000-0003-4940-8835
ORCiD: Neil J. Greening https://orcid.org/0000-0003-0453-7529
ORCiD: Nazir I. Lone https://orcid.org/0000-0003-2707-2779
ORCiD: A. A. Roger Thompson https://orcid.org/0000-0002-0717-4551
ORCiD: Claire M Nolan https://orcid.org/0000-0001-9067-599X
Appears in Collections:Dept of Health Sciences Research Papers

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