Cited by 90Long-Term Effects of COVID-19COVID-19 Clinical Research StudiesInfectious Encephalopathies and Encephalitis

Brain injury in COVID-19 is associated with dysregulated innate and adaptive immune responses

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Needham, Edward J, Ren, Alexander L, Digby, Richard J, Norton, Emma J, Ebrahimi, Soraya, Outtrim, Joanne G, Chatfield, Doris A, Manktelow, Anne E +251 more·2022·Brain

Published version of a preprint

Abstract

COVID-19 is associated with neurological complications including stroke, delirium and encephalitis. Furthermore, a post-viral syndrome dominated by neuropsychiatric symptoms is common, and is seemingly unrelated to COVID-19 severity. The true frequency and underlying mechanisms of neurological injury are unknown, but exaggerated host inflammatory responses appear to be a key driver of COVID-19 severity. We investigated the dynamics of, and relationship between, serum markers of brain injury [neurofilament light (NfL), glial fibrillary acidic protein (GFAP) and total tau] and markers of dysregulated host response (autoantibody production and cytokine profiles) in 175 patients admitted with COVID-19 and 45 patients with influenza. During hospitalization, sera from patients with COVID-19 demonstrated elevations of NfL and GFAP in a severity-dependent manner, with evidence of ongoing active brain injury at follow-up 4 months later. These biomarkers were associated with elevations of pro-inflammatory cytokines and the presence of autoantibodies to a large number of different antigens. Autoantibodies were commonly seen against lung surfactant proteins but also brain proteins such as myelin associated glycoprotein. Commensurate findings were seen in the influenza cohort. A distinct process characterized by elevation of serum total tau was seen in patients at follow-up, which appeared to be independent of initial disease severity and was not associated with dysregulated immune responses unlike NfL and GFAP. These results demonstrate that brain injury is a common consequence of both COVID-19 and influenza, and is therefore likely to be a feature of severe viral infection more broadly. The brain injury occurs in the context of dysregulation of both innate and adaptive immune responses, with no single pathogenic mechanism clearly responsible.

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  • COVID-19 is very rarely neuroinvasive, but its impact on the brain might be immune-mediated and cause glial neuroinflammation.

    “Indeed, while COVID-19 is very rarely neuroinvasive [127], its impact on the brain might be immune-mediated [126] and cause glial neuroinflammation [128,129,130].”

    From Revisiting the Pathogenesis of X-Linked Adrenoleukodystrophy (2025) · cites this paper as [129]

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  1. [1]Ren AL, Digby RJ, Needham EJ. Neurological update: COVID-19. J Neurol. 2021; 268: 4379– 4387. 33929617 PMC8085652
  2. [2]Zayet S, Zahra H, Royer P-Y, et al Post-COVID-19 syndrome: nine months after SARS-CoV-2 infection in a cohort of 354 patients: data from the first wave of COVID-19 in nord franche-comté hospital, France. Microorganisms. 2021; 9: 1719. 34442798 PMC8401026
  3. [3]Malik P, Patel K, Pinto C, et al Post-acute COVID-19 syndrome (PCS) and health-related quality of life (HRQoL)—A systematic review and meta-analysis. J Med Virol. 2022; 94: 253– 262. 34463956 PMC8662132
  4. [4]Whitaker M, Elliott J, Chadeau-Hyam M, et al Persistent COVID-19 symptoms in a community study of 606,434 people in England. Nat Commun. 2022; 13: 1957. 35413949 PMC9005552
  5. [5]Paterson RW, Benjamin LA, Mehta PR, et al Serum and cerebrospinal fluid biomarker profiles in acute SARS-CoV-2-associated neurological syndromes. Brain Commun. 2021; 3: fcab099. PMC8194666 34396099
  6. [6]Bozzetti S, Ferrari S, Zanzoni S, et al Neurological symptoms and axonal damage in COVID-19 survivors: are there sequelae? Immunol Res. 2021; 69: 553– 557. 34363587 PMC8346772
  7. [7]Kanberg N, Simrén J, Edén A, et al Neurochemical signs of astrocytic and neuronal injury in acute COVID-19 normalizes during long-term follow-up. EBioMedicine. 2021; 70: 103512. 34333238 PMC8320425
  8. [8]Prudencio M, Erben Y, Marquez CP, et al Serum neurofilament light protein correlates with unfavorable clinical outcomes in hospitalized patients with COVID-19. Sci Transl Med. 2021; 13: eabi7643. PMC8432951 34131052
  9. [9]Chung H, Neu C, Wickel J, Kuckertz SL, Coldewey SM. Neurofilament light chain in patients with COVID-19 and bacterial pneumonia. Ann Neurol. 2021; 90: 174– 175. 34036618 PMC8222870
  10. [10]De Lorenzo R, Loré NI, Finardi A, et al Blood neurofilament light chain and total tau levels at admission predict death in COVID-19 patients. J Neurol. 2021; 268: 4436– 4442. 33973106 PMC8108733
  11. [11]Aamodt AH, Høgestøl EA, Popperud TH, et al Blood neurofilament light concentration at admittance: a potential prognostic marker in COVID-19. J Neurol. 2021; 268: 3574– 3583. 33743046 PMC7980743
  12. [12]Sutter R, Hert L, De Marchis GM, et al Serum neurofilament light chain levels in the intensive care unit: comparison between severely ill patients with and without coronavirus disease 2019. Ann Neurol. 2021; 89: 610– 616. 33377539
  13. [13]Virhammar J, Nääs A, Fällmar D, et al Biomarkers for central nervous system injury in cerebrospinal fluid are elevated in COVID-19 and associated with neurological symptoms and disease severity. Eur J Neurol. 2021; 28: 3324- 3331. 33369818 PMC8518988
  14. [14]Ameres M, Brandstetter S, Toncheva AA, et al Association of neuronal injury blood marker neurofilament light chain with mild-to-moderate COVID-19. J Neurol. 2020; 267: 3476– 3478. 32647900 PMC7345451
  15. [15]Kanberg N, Ashton NJ, Andersson L-M, et al Neurochemical evidence of astrocytic and neuronal injury commonly found in COVID-19. Neurology. 2020; 95: e1754– 9. 32546655
  16. [16]Edén A, Kanberg N, Gostner J, et al CSF Biomarkers in patients with COVID-19 and neurologic symptoms: A case series. Neurology. 2021; 96: e294– e300. 33004602
  17. [17]van Paassen J, Vos JS, Hoekstra EM, Neumann KMI, Boot PC, Arbous SM. Corticosteroid use in COVID-19 patients: a systematic review and meta-analysis on clinical outcomes. Crit Care. 2020; 24: 696. 33317589 PMC7735177
  18. [18]Nissen CB, Sciascia S, de Andrade D, et al The role of antirheumatics in patients with COVID-19. Lancet Rheumatol. 2021; 3: e447– e459. 33817665 PMC8009617
  19. [19]Ramos-Casals M, Brito-Zerón P, Mariette X. Systemic and organ-specific immune-related manifestations of COVID-19. Nat Rev Rheumatol. 2021; 17: 315– 332. 33903743 PMC8072739
  20. [20]Szekanecz Z, McInnes IB, Schett G, Szamosi S, Benkő S, Szűcs G. Autoinflammation and autoimmunity across rheumatic and musculoskeletal diseases. Nat Rev Rheumatol. 2021; 17: 585– 595. 34341562
  21. [21]Franke C, Ferse C, Kreye J, et al High frequency of cerebrospinal fluid autoantibodies in COVID-19 patients with neurological symptoms. Brain Behav Immun. 2021; 93: 415– 419. 33359380 PMC7834471
  22. [22]Guilmot A, Maldonado Slootjes S, Sellimi A, et al Immune-mediated neurological syndromes in SARS-CoV-2-infected patients. J Neurol. 2021; 268: 751– 757. 32734353 PMC7391231
  23. [23]Avrameas S, Alexopoulos H, Moutsopoulos HM. Natural autoantibodies: an undersugn Hero of the immune system and autoimmune disorders—A point of view. Front Immunol. 2018; 9: 1320. 29946320 PMC6005843
  24. [24]Marklund E, Leach S, Axelsson H, et al Serum-IgG responses to SARS-CoV-2 after mild and severe COVID-19 infection and analysis of IgG non-responders. PLoS One. 2020; 15: e0241104. PMC7577439 33085715
  25. [25]Dunning J, Blankley S, Hoang LT, et al Progression of whole blood transcriptional signatures from interferon-induced to neutrophil-associated patterns in patients with severe influenza. Nat Immunol. 2018; 19: 625– 635. 29777224 PMC5985949
  26. [26]Contopoulos-Ioannidis DG, Karvouni A, Kouri I, Ioannidis JPA. Reporting and interpretation of SF-36 outcomes in randomised trials: systematic review. BMJ. 2009; 338: a3006. 19139138 PMC2628302
  27. [27]Jeong JS, Jiang L, Albino E, et al Rapid identification of monospecific monoclonal antibodies using a human proteome microarray. Mol Cell Proteomics. 2012; 11: O111.016253. PMC3433917 22307071
  28. [28]Needham EJ, Stoevesandt O, Thelin EP, et al Complex autoantibody responses occur following moderate to severe traumatic brain injury. J Immunol. 2021; 207: 90– 100. 34145056 PMC7616895
  29. [29]Kristof AS. Novel rare genetic variants in idiopathic pulmonary fibrosis. Eur Respir J. 2020; 56: 2003252. 33361455
  30. [30]Messing A, Brenner M. GFAP At 50. ASN Neuro. 2020; 12: 1759091420949680. PMC7440737 32811163
  31. [31]Yuan A, Nixon RA. Neurofilament proteins as biomarkers to monitor neurological diseases and the efficacy of therapies. Front Neurosci. 2021; 15: 689938. 34646114 PMC8503617
  32. [32]Wilczyńska K, Waszkiewicz N. Diagnostic utility of selected Serum dementia biomarkers: amyloid β-40, amyloid β-42, tau protein, and YKL-40: A review. J Clin Med. 2020; 9: 3452. 33121040 PMC7692800
  33. [33]Rajan KB, Aggarwal NT, McAninch EA, et al Remote blood biomarkers of longitudinal cognitive outcomes in a population study. Ann Neurol. 2020; 88: 1065– 1076. 32799383 PMC9186023
  34. [34]Mielke MM, Hagen CE, Wennberg AMV, et al Association of plasma total tau level with cognitive decline and risk of mild cognitive impairment or dementia in the mayo clinic study on aging. JAMA Neurol. 2017; 74: 1073– 1080. 28692710 PMC5710182
  35. [35]Hansen KE, Arnason J, Bridges AJ. Autoantibodies and common viral illnesses. Semin Arthritis Rheum. 1998; 27: 263– 271. 9572708
  36. [36]Barzilai O, Ram M, Shoenfeld Y. Viral infection can induce the production of autoantibodies. Curr Opin Rheumatol. 2007; 19: 636– 643. 17917546
  37. [37]Chang SE, Feng A, Meng W, et al New-onset IgG autoantibodies in hospitalized patients with COVID-19. Nat Commun. 2021; 12: 5417. 34521836 PMC8440763
  38. [38]Vlachoyiannopoulos PG, Magira E, Alexopoulos H, et al Autoantibodies related to systemic autoimmune rheumatic diseases in severely ill patients with COVID-19. Ann Rheum Dis. 2020; 79: 1661– 1663. 32581086
  39. [39]Arthur JM, Forrest JC, Boehme KW, et al Development of ACE2 autoantibodies after SARS-CoV-2 infection. PLoS One. 2021; 16: e0257016. PMC8415618 34478478
  40. [40]Goncalves D, Mezidi M, Bastard P, et al Antibodies against type I interferon: detection and association with severe clinical outcome in COVID-19 patients. Clin Transl Immunol. 2021; 10: e1327. PMC8370568 34429968
  41. [41]van der Wijst MGP, Vazquez SE, Hartoularos GC, et al Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19. Sci Transl Med. 2021; 13: eabh2624. 34429372 PMC8601717
  42. [42]Richter AG, Shields AM, Karim A, et al Establishing the prevalence of common tissue-specific autoantibodies following severe acute respiratory syndrome coronavirus 2 infection. Clin Exp Immunol. 2021; 205: 99– 105. 34082475 PMC8239842
  43. [43]Bastard P, Gervais A, Le Voyer T, et al Autoantibodies neutralizing type I IFNs are present in ∼4% of uninfected individuals over 70 years old and account for ∼20% of COVID-19 deaths. Sci Immunol. 2021; 6: eabl4340. PMC8521484 34413139
  44. [44]Mazzitelli I, Bleichmar L, Ludueña MG, et al Immunoglobulin G Immune Complexes May Contribute to Neutrophil Activation in the Course of Severe Coronavirus Disease 2019. J Infect Dis. 2021; 224: 575– 585. 34398243 PMC8083460
  45. [45]Edén A, Simrén J, Price RW, Zetterberg H, Gisslén M. Neurochemical biomarkers to study CNS effects of COVID-19: A narrative review and synthesis. J Neurochem. 2021; 159: 61– 77. 34170549 PMC8420435
  46. [46]Matschke J, Lütgehetmann M, Hagel C, et al Neuropathology of patients with COVID-19 in Germany: a post-mortem case series. Lancet Neurol. 2020; 19: 919– 929. 33031735 PMC7535629
  47. [47]von Weyhern CH, Kaufmann I, Neff F, Kremer M. Early evidence of pronounced brain involvement in fatal COVID-19 outcomes. Lancet. 2020; 395: e109. 32505222 PMC7272176
  48. [48]Westhoff D, Engelen-Lee JY, Hoogland ICM, et al Systemic infection and microglia activation: a prospective postmortem study in sepsis patients. Immun Ageing. 2019; 16: 18. 31384283 PMC6664744
  49. [49]Mazeraud A, Righy C, Bouchereau E, Benghanem S, Bozza FA, Sharshar T. Septic-Associated encephalopathy: a comprehensive review. Neurotherapeutics. 2020; 17: 392– 403. 32378026 PMC7283452
  50. [50]Conklin J, Frosch MP, Mukerji SS, et al Susceptibility-weighted imaging reveals cerebral microvascular injury in severe COVID-19. J Neurol Sci. 2021; 421: 117308. 33497950 PMC7832284
  51. [51]Fernández S, Palomo M, Molina P, et al Progressive endothelial cell damage in correlation with sepsis severity. Defibrotide as a contender. J Thromb Haemost. 2021; 19: 1948– 1958. 33872468
  52. [52]Varga Z, Flammer AJ, Steiger P, et al Endothelial cell infection and endotheliitis in COVID-19. The Lancet. 2020; 395: 1417– 1418. PMC7172722 32325026
  53. [53]Zhou Y, Xu J, Hou Y, et al Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment. Alzheimers Res Ther. 2021; 13: 110. 34108016 PMC8189279
  54. [54]Inoue S, Hatakeyama J, Kondo Y, et al Post-intensive care syndrome: its pathophysiology, prevention, and future directions. Acute Med Surg. 2019; 6: 233– 246. 31304024 PMC6603316

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Authors
Needham, E. J., Ren, A. L., Digby, R. J., Norton, E. J., Ebrahimi, S., Outtrim, J. G., Chatfield, D. A., Manktelow, A. E., Leibowitz, M. M., Newcombe, V. F. J., Doffinger, R., Barcenas-Morales, G., Fonseca, C., Taussig, M. J., Burnstein, R. M., Samanta, R. J., Dunai, C., Sithole, N., Ashton, N. J., Zetterberg, H., Gisslén, M., Edén, A., Marklund, E., Openshaw, P. J. M., Dunning, J., Griffiths, M. J., Cavanagh, J., Breen, G., Irani, S. R., Elmer, A., Kingston, N., Summers, C., Bradley, J. R., Taams, L. S., Michael, B. D., Bullmore, E. T., Smith, K. G. C., Lyons, P. A., Coles, A. J., Menon, D. K., Cambridge NeuroCOVID Group, Anwar, F., Allinson, K., Bhatti, J., Bullmore, E. T., Chatfield, D. A., Christmas, D., Coles, A. J., Coles, J. P., Correia, M., Das, T., Fletcher, P. C., Jubb, A. W., Lupson, V. C., Manktelow, A. E., Menon, D. K., Michell, A., Needham, E. J., Newcombe, V. F. J., Outtrim, J. G., Pointon, L., Rodgers, C. T., Rowe, J. B., Rua, C., Sithole, N., Spindler, L. R. B., Stamatakis, E. A., Taylor, J., Valerio, F., Widmer, B., Williams, G. B., Chinnery, P. F., CITIID-NIHR COVID-19 BioResource Collaboration, Allison, J., Alvio, G., Ansaripour, A., Baker, S., Baker, S., Bergamaschi, L., Bermperi, A., Betancourt, A., Biggs, H., Bong, S.-H., Bower, G., Bradley, J. R., Brookes, K., Bucke, A., Bullman, B., Bunclark, K., Butcher, H., Caddy, S., Calder, J., Caller, L., Canna, L., Caputo, D., Chandler, M., Chaudhry, Y., Chinnery, P., Clapham-Riley, D., Cooper, D., Cossetti, C., Crucusio, C., Cruz, I., Curran, M., Coudert, J. D., Bie, E. M. D. D. D., Jesus, R. D., Sa, A. D., Dean, A.-M., Dempsey, K., Dewhurst, E., Stefano, G. D., Domingo, J., Dougan, G., Dunmore, B. J., Elmer, A., Epping, M., Fahey, C., Fawke, S., Feltwell, T., Fernandez, C., Fuller, S., Furlong, A., Georgana, I., George, A., Gleadall, N., Goodfellow, I. G., Gräf, S., Graves, B., Gray, J., Grenfell, R., Gupta, R. K., Hall, G., Hamilton, W., Harris, J., Hein, S., Hess, C., Hewitt, S., Hinch, A., Hodgson, J., Hosmillo, M., Holmes, E., Houldcroft, C., Huang, C., Huhn, O., Hunter, K., Ivers, T., Jahun, A., Jackson, S., Jarvis, I., Jones, E., Jones, H., Jose, S., Josipović, M., Kasanicki, M., Kennet, J., Khokhar, F., King, Y., Kingston, N., Kourampa, J., Gresley, E. L., Laurenti, E., Legchenko, E., Lehner, P. J., Lewis, D., Li, E., Linger, R., Lyons, P. A., Mackay, M., Marioni, J. C., Marsden, J., Martin, J., Matara, C., Matheson, N. J., McMahon, C., Meadows, A., Meloy, S., Mendoza, V., Meredith, L., Mende, N., Mescia, F., Michael, A., Moulton, A., Michel, R., Mwaura, L., Muldoon, F., Nice, F., O’Brien, C., Ocaya, C., O’Donnell, C., Okecha, G., Omarjee, O., Ovington, N., Owehand, W. H., Papadia, S., Paraschiv, R., Parmar, S., Pascuale, C., Patterson, C., Penkett, C., Perales, M., Perera, M., Phelan, I., Pinckert, M., Pointon, L., Polgarova, P., Polwarth, G., Pond, N., Price, J., Ranganath, V., Publico, C., Rastall, R., Ribeiro, C., Richoz, N., Romashova, V., Rossi, S., Rowlands, J., Ruffolo, V., Sambrook, J., Saunders, C., Yarkoni, N. S., Schon, K., Selvan, M., Sharma, R., Shih, J., Smith, K. G. C., Spencer, S., Stefanucci, L., Stark, H., Stephens, J., Stirrups, K. E., Strezlecki, M., Summers, C., Sutcliffe, R., Thaventhiran, J. E. D., Tilly, T., Tong, Z., Tordesillas, H., Treacy, C., Toshner, M., Townsend, P., Treacy, C., Turner, L., Vargas, P., Vergese, B., Ziegenweidt, J. V., Walker, N., Watson, L., Webster, J., Weekes, M. P., Wilson, N. K., Wood, J., Worsley, J., Wylot, M., Yakovleva, A., Zerrudo, C. Y. A. J.-A., Facility, C. N. C. R., Saunders, C., & Elmer, A.
Affiliations
  • University of Cambridge (GB)
  • Department of Clinical Biochemistry and Immunology, Addenbrooke’s Hospital , Cambridge , UK
  • Cambridge Protein Arrays Ltd, Babraham Research Campus , Cambridge , UK
  • Clinical Infection Microbiology and Neuroimmunology, Institute of Infection, Veterinary and Ecological Science , Liverpool , UK
  • University of Gothenburg (SE)
  • Sahlgrenska University Hospital (SE)
  • Imperial College London (GB)
  • University of Oxford (GB)
  • University of Liverpool (GB)
  • University of Glasgow (GB)
  • King's College London (GB)
  • National Institute for Health and Care Research (GB)
  • Cambridge University Hospitals NHS Foundation Trust (GB)
ORCID
Venue
Brain
Published
2022-09-06
Volume
145
Issue
11
Pages
4097-4107
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W4297463106
Cited by
90
References
0
Citations by year
2026: 9 · 2025: 16 · 2024: 31 · 2023: 27 · 2022: 7
FWCI
10.66
Type
journal article
Language
en
Open access
Locations
  • Brain (publishedVersion, cc-by)
  • medRxiv (acceptedVersion, cc-by-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
  • ePrints Soton (University of Southampton) (acceptedVersion, cc-by)
  • UCL Discovery (University College London) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion, cc-by)
  • Spiral (Imperial College London) (submittedVersion, other-oa)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Apollo (cc-by)
Funders
NIHR Cambridge Biomedical Centre
Topics
  • Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Infectious Diseases › Infectious Encephalopathies and Encephalitis
Keywords
COVID-19 pandemic, brain injury, neuroinflammation, neurofilament light chain, glial fibrillary acidic protein, total tau, autoantibodies, inflammatory cytokines, innate immune response, adaptive immune response, influenza, post-viral syndromes, myelin-associated glycoprotein, lung surfactant proteins, neurological complications
MeSH terms
COVID-19, Autoantibodies, Brain Injuries, Humans, Immunity, Influenza, Human, Biomarkers, Neurofilament Proteins

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