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Traumatic brain injury fast-forwards Alzheimer’s pathology: evidence from amyloid positron emission tomorgraphy imaging

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Abstract

Purpose

Traumatic brain injury (TBI) has been proposed as a risk factor for Alzheimer’s disease (AD), although the mechanisms underlying the putative association are poorly understood. We investigated elderly individuals with a remote history of TBI, aiming to understand how this may have influenced amyloidosis, neurodegeneration, and clinical expression along the AD continuum.

Methods

Total of 241 individual datasets including amyloid beta (Aβ) positron emission tomography ([18F]-AV45), structural MRI, and neuropsychological measures, were obtained from the Alzheimer’s Disease Neuroimaging Initiative. The data were stratified into groups with (TBI +) or without (TBI −) history of head injury, and by clinical dementia rating (CDR) scores, into subgroups with normal cognition (CDR = 0) and those with symptomatic cognitive decline (CDR ≥ 0.5). We contrasted the TBI + and TBI − subgroups with respect to the onset age and extent of cognitive decline, cortical thickness changes, and Aβ standard uptake value (SUVr).

Results

Compared to the TBI −/CDR ≥ 0.5 subgroup, the TBI + /CDR ≥ 0.5 subgroup showed a 3–4 year earlier age of cognitive impairment onset (ACIO, p = 0.005). Among those participants on the AD continuum (Aβ + , as defined by a cortical SUVr ≥ 1.23), irrespective of current CDR, a TBI + history was associated with greater Aβ deposition and more pronounced cortical thinning. When matched for severity of cognitive status, the TBI + /CDR ≥ 0.5 group showed greater Aβ burden, but earlier ACIO as compared to the TBI −/CDR ≥ 0.5, suggesting a more indolent clinical AD progression in those with TBI history.

Conclusion

Remote TBI history may alter the AD onset trajectory, with approximately 4 years earlier ACIO, greater amyloid deposition, and cortical thinning.

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Data availability

The original data used in this project and that support the findings of this study are openly available through (https://ida.loni.usc.edu), upon approval from the ADNI project administration.

Code availability

The different software packages used in the preparation of this manuscript are publicly available. In addition, the codes used for the analysis of the data are available upon request from the corresponding author.

References

  1. Himanen L, Portin R, Isoniemi H et al (2006) Longitudinal cognitive changes in traumatic brain injury: A 30-year follow-up study. Neurology 66:187–192. https://doi.org/10.1212/01.wnl.0000194264.60150.d3

    Article  CAS  PubMed  Google Scholar 

  2. MacDonald CL, Barber J, Jordan M et al (2017) Early clinical predictors of 5-year outcome after concussive blast traumatic brain injury. JAMA Neurol 74:821–829. https://doi.org/10.1001/jamaneurol.2017.0143

    Article  Google Scholar 

  3. Washington PM, Villapol S, Burns MP (2016) Polypathology and dementia after brain trauma: Does brain injury trigger distinct neurodegenerative diseases, or should they be classified together as traumatic encephalopathy? Exp Neurol 275:381–388. https://doi.org/10.1016/j.expneurol.2015.06.015

    Article  PubMed  Google Scholar 

  4. Blennow K, Brody DL, Kochanek PM et al (2016) Traumatic brain injuries. Nat Rev Dis Prim 2:16084. https://doi.org/10.1038/nrdp.2016.84

    Article  PubMed  Google Scholar 

  5. Bird SM, Sohrabi HR, Sutton TA et al (2016) Cerebral amyloid-β accumulation and deposition following traumatic brain injury-A narrative review and meta-analysis of animal studies. Neurosci Biobehav Rev 64:215–228. https://doi.org/10.1016/j.neubiorev.2016.01.004

    Article  CAS  PubMed  Google Scholar 

  6. Mendez MF (2017) What is the relationship of traumatic brain injury to dementia? J Alzheimer’s Dis 57:667–681. https://doi.org/10.3233/JAD-161002

    Article  CAS  Google Scholar 

  7. Barnes DE, Byers AL, Gardner RC et al (2018) Association of mild traumatic brain injury with and without loss of consciousness with dementia in US military veterans. JAMA Neurol 75:1055–1061. https://doi.org/10.1001/jamaneurol.2018.0815

    Article  PubMed  PubMed Central  Google Scholar 

  8. Nemetz PN, Leibson C, Naessens JM et al (1999) Traumatic brain injury and time to onset of Alzheimer’s disease: a population-based study. Am J Epidemiol 149:32–40. https://doi.org/10.1093/oxfordjournals.aje.a009724

    Article  CAS  PubMed  Google Scholar 

  9. Wang H-K, Lin S-H, Sung P et al (2012) Population based study on patients with traumatic brain injury suggests increased risk of dementia. J Neurol Neurosurg Psychiatry 83:1080–1085. https://doi.org/10.1136/jnnp-2012-302633

    Article  PubMed  Google Scholar 

  10. Li W, Risacher SL, McAllister TW, Saykin AJ (2016) Traumatic brain injury and age at onset of cognitive impairment in older adults. J Neurol 263:1280–1285. https://doi.org/10.1007/s00415-016-8093-4

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Schaffert J, LoBue C, White CL et al (2018) Traumatic brain injury history is associated with an earlier age of dementia onset in autopsy-confirmed Alzheimer’s disease. Neuropsychology 32:410–416. https://doi.org/10.1037/neu0000423

    Article  PubMed  PubMed Central  Google Scholar 

  12. Weiner MW, Crane PK, Montine TJ et al (2017) Traumatic brain injury may not increase the risk of Alzheimer disease. Neurology 89:1923–1925. https://doi.org/10.1212/WNL.0000000000004608

    Article  PubMed  PubMed Central  Google Scholar 

  13. Crane PK, Gibbons LE, Dams-O’Connor K et al (2016) Association of traumatic brain injury with late-life neurodegenerative conditions and neuropathologic findings. JAMA Neurol 73:1062–1069. https://doi.org/10.1001/jamaneurol.2016.1948

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nordstrom P, Michaëlsson K, Gustafson Y, Nordström A (2014) Traumatic brain injury and young onset dementia: a nationwide cohort study. Ann Neurol 75:374–381. https://doi.org/10.1002/ana.24101

    Article  PubMed  Google Scholar 

  15. Sugarman MA, McKee AC, Stein TD et al (2019) Failure to detect an association between self-reported traumatic brain injury and Alzheimer’s disease neuropathology and dementia. Alzheimer’s Dement 15:686–698. https://doi.org/10.1016/j.jalz.2018.12.015

    Article  Google Scholar 

  16. Jack CR, Bennett DA, Blennow K et al (2018) NIA-AA research framework: toward a biological definition of Alzheimer’s disease. Alzheimer’s Dement 14:535–562. https://doi.org/10.1016/j.jalz.2018.02.018

    Article  Google Scholar 

  17. Roberts GW, Gentleman SM, Lynch A et al (1994) Beta amyloid protein deposition in the brain after severe head injury: implications for the pathogenesis of Alzheimer’s disease. J Neurol Neurosurg Psychiatry 57:419–425. https://doi.org/10.1136/jnnp.57.4.419

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Johnson VE, Stewart W, Smith DH (2010) Traumatic brain injury and amyloid-β pathology: a link to Alzheimer’s disease? Nat Rev Neurosci 11:361–370. https://doi.org/10.1038/nrn2808

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Johnson VE, Stewart W, Smith DH (2012) Widespread tau and amyloid-beta pathology many years after a single traumatic brain injury in humans. Brain Pathol 22:142–149. https://doi.org/10.1111/j.1750-3639.2011.00513.x

    Article  CAS  PubMed  Google Scholar 

  20. Hong YT, Veenith T, Dewar D et al (2014) Amyloid imaging with carbon 11–labeled Pittsburgh compound B for traumatic brain injury. JAMA Neurol 71:23–31. https://doi.org/10.1001/jamaneurol.2013.4847.Amyloid

    Article  PubMed  PubMed Central  Google Scholar 

  21. Scott G, Ramlackhansingh AF, Edison P et al (2016) Amyloid pathology and axonal injury after brain trauma. Neurology 86:821–828. https://doi.org/10.1212/WNL.0000000000002413

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Landau SM, Breault C, Joshi AD et al (2013) Amyloid-β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods. J Nucl Med 54:70–77. https://doi.org/10.2967/jnumed.112.109009

    Article  CAS  PubMed  Google Scholar 

  23. The Alzheimer’s Disease Neuroimaging Inititive A. Alzheimer’s Disease Neuroimaging Inititive 2 PET technical procedures manual AV-45 (Florbetapir F 18) & FDG [Internet] (2011) https://adni.loni.usc.edu/wp-content/uploads/2010/05/ADNI2_PET_Tech_Manual_0142011.pdf

  24. Mohamed AZ, Cumming P, Nasrallah FA (2021) White-matter alterations are associated with cognitive dysfunction decades following moderate-to-severe traumatic brain injury and/or post-traumatic stress disorder. Biol Psychiatry Cogn Neurosci Neuroimaging. https://doi.org/10.1016/j.bpsc.2021.04.014

    Article  PubMed  Google Scholar 

  25. Ashburner J (2007) A fast diffeomorphic image registration algorithm. Neuroimage 38:95–113. https://doi.org/10.1016/j.neuroimage.2007.07.007

    Article  PubMed  Google Scholar 

  26. Diaz-De-Grenu LZ, Acosta-Cabronero J, Chong YFV et al (2014) A brief history of voxel-based grey matter analysis in Alzheimer’s disease. J Alzheimer’s Dis 38:647–659. https://doi.org/10.3233/JAD-130362

    Article  Google Scholar 

  27. Nakase-Richardson R, Yablon SA, Sherer M (2007) Prospective comparison of acute confusion severity with duration of post-traumatic amnesia in predicting employment outcome after traumatic brain injury. J Neurol Neurosurg Psychiatry 78:872–876. https://doi.org/10.1136/jnnp.2006.104190

    Article  PubMed  Google Scholar 

  28. Whiteneck GG, Gerhart KA, Cusick CP (2004) Identifying environmental factors that influence the outcomes of people with traumatic brain injury. J Head Trauma Rehabil 19:191–204. https://doi.org/10.1097/00001199-200405000-00001

    Article  PubMed  Google Scholar 

  29. Rabinowitz AR, Levin HS (2014) Cognitive sequelae of traumatic brain injury. Psychiatr Clin North Am 37:1–11

    Article  Google Scholar 

  30. Montenigro PH, Baugh CM, Daneshvar DH et al (2014) Clinical subtypes of chronic traumatic encephalopathy: literature review and proposed research diagnostic criteria for traumatic encephalopathy syndrome. Alzheimer’s Res Ther 6:68. https://doi.org/10.1186/s13195-014-0068-z

    Article  Google Scholar 

  31. Ling H, Morris HR, Neal JW et al (2017) Mixed pathologies including chronic traumatic encephalopathy account for dementia in retired association football (soccer) players. Acta Neuropathol 133:337–352. https://doi.org/10.1007/s00401-017-1680-3

    Article  PubMed  PubMed Central  Google Scholar 

  32. Bieniek KF, Ross OA, Cormier KA et al (2015) Chronic traumatic encephalopathy pathology in a neurodegenerative disorders brain bank. Acta Neuropathol 130:877–889. https://doi.org/10.1007/s00401-015-1502-4

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Mohamed AZ, Cumming P, Götz J, Nasrallah F (2019) Tauopathy in veterans with long-term posttraumatic stress disorder and traumatic brain injury. Eur J Nucl Med Mol Imaging 46:1139–1151. https://doi.org/10.1007/s00259-018-4241-7

    Article  PubMed  PubMed Central  Google Scholar 

  34. Palmqvist S, Schöll M, Strandberg O et al (2017) Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity. Nat Commun 8:1214. https://doi.org/10.1038/s41467-017-01150-x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Johnson VE, Stewart W, Smith DH (2013) Axonal pathology in traumatic brain injury. Exp Neurol 246:35–43. https://doi.org/10.1016/j.expneurol.2012.01.013

    Article  CAS  PubMed  Google Scholar 

  36. Chen X-HH, Johnson VE, Uryu K et al (2009) A lack of amyloid β plaques despite persistent accumulation of amyloid β in axons of long-term survivors of traumatic brain injury. Brain Pathol 19:214–233. https://doi.org/10.1111/j.1750-3639.2008.00176.x

    Article  PubMed  Google Scholar 

  37. Ikonomovic MD, Uryu K, Abrahamson EE et al (2004) Alzheimer’s pathology in human temporal cortex surgically excised after severe brain injury. Exp Neurol 190:192–203. https://doi.org/10.1016/j.expneurol.2004.06.011

    Article  CAS  PubMed  Google Scholar 

  38. DeKosky ST, Abrahamson EE, Ciallella JR et al (2007) Association of increased cortical soluble Aβ42levels with diffuse plaques after severe brain injury in humans. Arch Neurol 64:541–544. https://doi.org/10.1001/archneur.64.4.541

    Article  PubMed  Google Scholar 

  39. Mohamed AZ, Cumming P, Srour H et al (2018) Amyloid pathology fingerprint differentiates post-traumatic stress disorder and traumatic brain injury. NeuroImage Clin 19:716–726. https://doi.org/10.1016/j.nicl.2018.05.016

    Article  PubMed  PubMed Central  Google Scholar 

  40. Schneider ALC, Selvin E, Liang M et al (2019) Association of head injury with brain amyloid deposition: the ARIC-PET study. J Neurotrauma 36:2549–2557. https://doi.org/10.1089/neu.2018.6213

    Article  PubMed  PubMed Central  Google Scholar 

  41. Yang S-T, Hsiao I-T, Hsieh C-J et al (2015) Accumulation of amyloid in cognitive impairment after mild traumatic brain injury. J Neurol Sci 349:99–104. https://doi.org/10.1016/j.jns.2014.12.032

    Article  CAS  PubMed  Google Scholar 

  42. Wang ML, Wei XE, Yu MM et al (2017) Self-reported traumatic brain injury and in vivo measure of AD-vulnerable cortical thickness and AD-related biomarkers in the ADNI cohort. Neurosci Lett 655:115–120. https://doi.org/10.1016/j.neulet.2017.06.055

    Article  CAS  PubMed  Google Scholar 

  43. Pettigrew C, Soldan A, Zhu Y et al (2016) Cortical thickness in relation to clinical symptom onset in preclinical AD. NeuroImage Clin 12:116–122. https://doi.org/10.1016/j.nicl.2016.06.010

    Article  PubMed  PubMed Central  Google Scholar 

  44. Minkova L, Habich A, Peter J et al (2017) Gray matter asymmetries in aging and neurodegeneration: a review and meta-analysis. Hum Brain Mapp 38:5890–5904. https://doi.org/10.1002/hbm.23772

    Article  PubMed  PubMed Central  Google Scholar 

  45. Chapleau M, Aldebert J, Montembeault M, Brambati SM (2016) Atrophy in Alzheimer’s disease and semantic dementia: an ALE meta-analysis of voxel-based morphometry studies. J Alzheimer’s Dis 54:941–955. https://doi.org/10.3233/JAD-160382

    Article  CAS  Google Scholar 

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Acknowledgements

The authors would like to acknowledge ADNI contributors listed at http://adni.loni.usc.edu/data-samples/access-data/groups-acknowledgements-journal-format/. ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California.

Funding

This research was supported by Motor Accident Insurance Commission (MAIC), The Queensland Government, Australia (Grant number: 2014000857). Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (US Department of Defense award number W81XWH-12-2-0012).

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Contributions

AZM, PN, and FN decided on the study concept and design. ADNI project members collected the data used in the preparation of the manuscript. AZM performed the data analysis and wrote the manuscript. FN, PC, and PN read the manuscript and provided a critical feedback on the results and the written manuscript.

Corresponding author

Correspondence to Fatima A. Nasrallah.

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Conflict of interest

The authors report no competing interests.

Ethical approval

This research involves de-identified human data collected by ADNI project. This study obtained ethics approval to use de-identified data from the Human Research Ethics Committee of the University of Queensland, Australia (IRB number #2017000630).

Consent to participate

Informed consent was obtained from all individual participants included in the study.

Consent for publication

No individuals’ information was used in the preparation of any of the figures. All data used in the preparation of the manuscript were of group levels, without any individual images or personal information used in the preparation of the manuscript.

Additional information

For the Alzheimer’s Disease Neuroimaging Initiative: Data used in the preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.

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Mohamed, A.Z., Nestor, P.J., Cumming, P. et al. Traumatic brain injury fast-forwards Alzheimer’s pathology: evidence from amyloid positron emission tomorgraphy imaging. J Neurol 269, 873–884 (2022). https://doi.org/10.1007/s00415-021-10669-5

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