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AIMS Neuroscience

2022, Volume 9, Issue 4: 519-535. doi: 10.3934/Neuroscience.2022030
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Chronic traumatic encephalopathy: Diagnostic updates and advances

  • 1.
    University of Florida Department of Radiology, Gainesville 32603, Florida, USA
  • 2.
    Sam Houston State University of Osteopathic Medicine, Conroe 77304, Texas, USA
  • 3.
    University of Florida Department of Neurosurgery, Gainesville 32603, Florida, USA
  • Received: 17 October 2022 Revised: 04 December 2022 Accepted: 12 December 2022 Published: 19 December 2022

  • Chronic traumatic encephalopathy (CTE) is a progressive neurodegenerative disease that occurs secondary to repetitive mild traumatic brain injury. Current clinical diagnosis relies on symptomatology and structural imaging findings which often vary widely among those with the disease. The gold standard of diagnosis is post-mortem pathological examination. In this review article, we provide a brief introduction to CTE, current diagnostic workup and the promising research on imaging and fluid biomarker diagnostic techniques. For imaging, we discuss quantitative structural analyses, DTI, fMRI, MRS, SWI and PET CT. For fluid biomarkers, we discuss p-tau, TREM2, CCL11, NfL and GFAP.

    Citation: Kevin Pierre, Vanessa Molina, Shil Shukla, Anthony Avila, Nicholas Fong, Jessica Nguyen, Brandon Lucke-Wold. Chronic traumatic encephalopathy: Diagnostic updates and advances[J]. AIMS Neuroscience, 2022, 9(4): 519-535. doi: 10.3934/Neuroscience.2022030

    Related Papers:

  • Chronic traumatic encephalopathy (CTE) is a progressive neurodegenerative disease that occurs secondary to repetitive mild traumatic brain injury. Current clinical diagnosis relies on symptomatology and structural imaging findings which often vary widely among those with the disease. The gold standard of diagnosis is post-mortem pathological examination. In this review article, we provide a brief introduction to CTE, current diagnostic workup and the promising research on imaging and fluid biomarker diagnostic techniques. For imaging, we discuss quantitative structural analyses, DTI, fMRI, MRS, SWI and PET CT. For fluid biomarkers, we discuss p-tau, TREM2, CCL11, NfL and GFAP.


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    Conflict of interest


    The authors declare no conflict of interest.

    [1] McKee AC, Abdolmohammadi B, Stein TD (2018) The neuropathology of chronic traumatic encephalopathy. Handb Clin Neurol 158: 297-307. https://doi.org/10.1016/B978-0-444-63954-7.00028-8
    [2] Pierre K, Dyson K, Dagra A, et al. (2021) Chronic Traumatic Encephalopathy: Update on Current Clinical Diagnosis and Management. Biomedicines 9: 415. https://doi.org/10.3390/biomedicines9040415
    [3] Castellani RJ, Perry G (2017) Dementia Pugilistica Revisited. J Alzheimers Dis 60: 1209-1221. https://doi.org/10.3233/JAD-170669
    [4] Alosco ML, Mariani ML, Adler CH, et al. (2021) Developing methods to detect and diagnose chronic traumatic encephalopathy during life: rationale, design, and methodology for the DIAGNOSE CTE Research Project. Alzheimers Res Ther 13: 136. https://doi.org/10.1186/s13195-021-00872-x
    [5] Baugh CM, Robbins CA, Stern RA, et al. (2014) Current understanding of chronic traumatic encephalopathy. Curr Treat Options Neurol 16: 306. https://doi.org/10.1007/s11940-014-0306-5
    [6] Gavett BE, Stern RA, McKee AC (2011) Chronic traumatic encephalopathy: a potential late effect of sport-related concussive and subconcussive head trauma. Clin Sports Med 30: 179-88, xi. https://doi.org/10.1016/j.csm.2010.09.007
    [7] Gavett BE, Cantu RC, Shenton M, et al. (2011) Clinical appraisal of chronic traumatic encephalopathy: current perspectives and future directions. Curr Opin Neurol 24: 525-531. https://doi.org/10.1097/WCO.0b013e32834cd477
    [8] Martland HS (1928) PUNCH DRUNK. J Am Med Assoc 91: 1103-1107. https://doi.org/10.1001/jama.1928.02700150029009
    [9] Hay J, Johnson VE, Smith DH, et al. (2016) Chronic Traumatic Encephalopathy: The Neuropathological Legacy of Traumatic Brain Injury. Annu Rev Pathol 11: 21-45. https://doi.org/10.1146/annurev-pathol-012615-044116
    [10] Lampert PW, Hardman JM (1984) Morphological Changes in Brains of Boxers. JAMA 251: 2676-2679. https://doi.org/10.1001/jama.1984.03340440034023
    [11] Saulle M, Greenwald BD (2012) Chronic traumatic encephalopathy: a review. Rehabil Res Pract 2012: 816069. https://doi.org/10.1155/2012/816069
    [12] Omalu B (2014) Chronic traumatic encephalopathy. Prog Neurol Surg 28: 38-49. https://doi.org/10.1159/000358761
    [13] Doherty CP, O'Keefe E, Wallace E, et al. (2016) Blood-Brain Barrier Dysfunction as a Hallmark Pathology in Chronic Traumatic Encephalopathy. J Neuropathol Exp Neurol 75: 656-662. https://doi.org/10.1093/jnen/nlw036
    [14] Johnson VE, Weber MT, Xiao R, et al. (2018) Mechanical disruption of the blood-brain barrier following experimental concussion. Acta Neuropathol 135: 711-726. https://doi.org/10.1007/s00401-018-1824-0
    [15] Ogino Y, Bernas T, Greer JE, et al. (2022) Axonal injury following mild traumatic brain injury is exacerbated by repetitive insult and is linked to the delayed attenuation of NeuN expression without concomitant neuronal death in the mouse. Brain Pathol 32: e13034. https://doi.org/10.1111/bpa.13034
    [16] Toth L, Czigler A, Horvath P, et al. (2021) The Effect of Mild Traumatic Brain Injury on Cerebral Microbleeds in Aging. Front Aging Neurosci 13: 717391. https://doi.org/10.3389/fnagi.2021.717391
    [17] McKee AC, Stein TD, Kiernan PT, et al. (2015) The neuropathology of chronic traumatic encephalopathy. Brain Pathol 25: 350-364. https://doi.org/10.1111/bpa.12248
    [18] McKee AC, Stern RA, Nowinski CJ, et al. (2013) The spectrum of disease in chronic traumatic encephalopathy. Brain 136: 43-64. https://doi.org/10.1093/brain/aws307
    [19] Huber BR, Alosco ML, Stein TD, et al. (2016) Potential Long-Term Consequences of Concussive and Subconcussive Injury. Phys Med Rehabil Clin N Am 27: 503-511. https://doi.org/10.1016/j.pmr.2015.12.007
    [20] McKee AC, Alosco ML, Huber BR (2016) Repetitive Head Impacts and Chronic Traumatic Encephalopathy. Neurosurg Clin N Am 27: 529-535. https://doi.org/10.1016/j.nec.2016.05.009
    [21] VanItallie TB (2019) Traumatic brain injury (TBI) in collision sports: Possible mechanisms of transformation into chronic traumatic encephalopathy (CTE). Metabolism 100s: 153943. https://doi.org/10.1016/j.metabol.2019.07.007
    [22] Reams N, Eckner JT, Almeida AA, et al. (2016) A Clinical Approach to the Diagnosis of Traumatic Encephalopathy Syndrome: A Review. JAMA Neurol 73: 743-749. https://doi.org/10.1001/jamaneurol.2015.5015
    [23] Katz DI, Bernick C, Dodick DW, et al. (2021) National Institute of Neurological Disorders and Stroke Consensus Diagnostic Criteria for Traumatic Encephalopathy Syndrome. Neurology 96: 848-863. https://doi.org/10.1212/WNL.0000000000011850
    [24] 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. Alzheimers Res Ther 6: 68. https://doi.org/10.1186/s13195-014-0068-z
    [25] Shively SB, Edgerton SL, Iacono D, et al. (2017) Localized cortical chronic traumatic encephalopathy pathology after single, severe axonal injury in human brain. Acta Neuropathol 133: 353-366. https://doi.org/10.1007/s00401-016-1649-7
    [26] Shetty T, Raince A, Tsiouris AJ, et al. (2015) Imaging in Chronic Traumatic Encephalopathy and Traumatic Brain Injury. Sports Health 8: 26-36. https://doi.org/10.1177/1941738115588745
    [27] Dallmeier JD, Meysami S, Merrill DA, et al. (2019) Emerging advances of in vivo detection of chronic traumatic encephalopathy and traumatic brain injury. Br J Radiol 92: 20180925. https://doi.org/10.1259/bjr.20180925
    [28] Baugh CM, Stamm JM, Riley DO, et al. (2012) Chronic traumatic encephalopathy: neurodegeneration following repetitive concussive and subconcussive brain trauma. Brain Imaging Behav 6: 244-254. https://doi.org/10.1007/s11682-012-9164-5
    [29] Tharmaratnam T, Iskandar MA, Tabobondung TC, et al. (2018) Chronic Traumatic Encephalopathy in Professional American Football Players: Where Are We Now?. Front Neurol 9: 445. https://doi.org/10.3389/fneur.2018.00445
    [30] Gandy S, Ikonomovic MD, Mitsis E, et al. (2014) Chronic traumatic encephalopathy: clinical-biomarker correlations and current concepts in pathogenesis. Mol Neurodegener 9: 37. https://doi.org/10.1186/1750-1326-9-37
    [31] Park H, Yang J-j, Seo J, et al. (2013) Dimensionality reduced cortical features and their use in predicting longitudinal changes in Alzheimer's disease. Neurosci Lett 550: 17-22. https://doi.org/10.1016/j.neulet.2013.06.042
    [32] Seo SW, Ahn J, Yoon U, et al. (2010) Cortical thinning in vascular mild cognitive impairment and vascular dementia of subcortical type. J Neuroimaging 20: 37-45. https://doi.org/10.1111/j.1552-6569.2008.00293.x
    [33] Jubault T, Gagnon J-F, Karama S, et al. (2011) Patterns of cortical thickness and surface area in early Parkinson's disease. Neuroimage 55: 462-467. https://doi.org/10.1016/j.neuroimage.2010.12.043
    [34] Singh V, Chertkow H, Lerch JP, et al. (2006) Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer's disease. Brain 129: 2885-2893. https://doi.org/10.1093/brain/awl256
    [35] Meier TB, España LY, Kirk AJ, et al. (2021) Association of Previous Concussion with Hippocampal Volume and Symptoms in Collegiate-Aged Athletes. J Neurotrauma 38: 1358-1367. https://doi.org/10.1089/neu.2020.7143
    [36] Schuff N, Woerner N, Boreta L, et al. (2009) MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers. Brain 132: 1067-1077. https://doi.org/10.1093/brain/awp007
    [37] Winklewski PJ, Sabisz A, Naumczyk P, et al. (2018) Understanding the Physiopathology Behind Axial and Radial Diffusivity Changes-What Do We Know?. Front Neurol 9: 92. https://doi.org/10.3389/fneur.2018.00092
    [38] Holleran L, Kim JH, Gangolli M, et al. (2017) Axonal disruption in white matter underlying cortical sulcus tau pathology in chronic traumatic encephalopathy. Acta Neuropathol 133: 367-380. https://doi.org/10.1007/s00401-017-1686-x
    [39] Veeramuthu V, Narayanan V, Kuo TL, et al. (2015) Diffusion Tensor Imaging Parameters in Mild Traumatic Brain Injury and Its Correlation with Early Neuropsychological Impairment: A Longitudinal Study. J Neurotrauma 32: 1497-1509. https://doi.org/10.1089/neu.2014.3750
    [40] Bouix S, Pasternak O, Rathi Y, et al. (2013) Increased gray matter diffusion anisotropy in patients with persistent post-concussive symptoms following mild traumatic brain injury. PLoS One 8: e66205. https://doi.org/10.1371/journal.pone.0066205
    [41] Wada T, Asano Y, Shinoda J (2012) Decreased fractional anisotropy evaluated using tract-based spatial statistics and correlated with cognitive dysfunction in patients with mild traumatic brain injury in the chronic stage. AJNR Am J Neuroradiol 33: 2117-2122. https://doi.org/10.3174/ajnr.A3141
    [42] Asano Y, SHINODA J, OKUMURA A, et al. (2012) Utility of fractional anisotropy imaging analyzed by statistical parametric mapping for detecting minute brain lesions in chronic-stage patients who had mild or moderate traumatic brain injury. Neurol Med Chir (Tokyo) 52: 31-40. https://doi.org/10.2176/nmc.52.31
    [43] Yin B, Li D-D, Huang H, et al. (2019) Longitudinal Changes in Diffusion Tensor Imaging Following Mild Traumatic Brain Injury and Correlation With Outcome. Front Neural Circuits 13: 28. https://doi.org/10.3389/fncir.2019.00028
    [44] Mahan MY, Rafter DJ, Truwit CL, et al. (2021) Evaluation of diffusion measurements reveals radial diffusivity indicative of microstructural damage following acute, mild traumatic brain injury. Magn Reson Imaging 77: 137-147. https://doi.org/10.1016/j.mri.2020.12.012
    [45] Yeh P-H, Lippa SM, Brickell TA, et al. (2022) Longitudinal changes of white matter microstructure following traumatic brain injury in U.S. military service members. Brain Communications 4: fcac132. https://doi.org/10.1093/braincomms/fcac132
    [46] Mayer AR, Ling J, Mannell MV, et al. (2010) A prospective diffusion tensor imaging study in mild traumatic brain injury. Neurology 74: 643-650. https://doi.org/10.1212/WNL.0b013e3181d0ccdd
    [47] Palacios EM, Yuh EL, Mac Donald CL, et al. (2022) Diffusion Tensor Imaging Reveals Elevated Diffusivity of White Matter Microstructure that Is Independently Associated with Long-Term Outcome after Mild Traumatic Brain Injury: A TRACK-TBI Study. J Neurotrauma 39: 1318-1328. https://doi.org/10.1089/neu.2021.0408
    [48] Herweh C, Hess K, Meyding-Lamadé U, et al. (2016) Reduced white matter integrity in amateur boxers. Neuroradiology 58: 911-920. https://doi.org/10.1007/s00234-016-1705-y
    [49] Kraus MF, Susmaras T, Caughlin BP, et al. (2007) White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study. Brain 130: 2508-2519. https://doi.org/10.1093/brain/awm216
    [50] Mayinger MC, Merchant-Borna K, Hufschmidt J, et al. (2018) White matter alterations in college football players: a longitudinal diffusion tensor imaging study. Brain Imaging Behav 12: 44-53. https://doi.org/10.1007/s11682-017-9672-4
    [51] Basser PJ, Mattiello J, LeBihan D (1994) MR diffusion tensor spectroscopy and imaging. Biophys J 66: 259-267. https://doi.org/10.1016/S0006-3495(94)80775-1
    [52] Terry DP, Adams TE, Ferrara MS, et al. (2015) FMRI hypoactivation during verbal learning and memory in former high school football players with multiple concussions. Arch Clin Neuropsychol 30: 341-355. https://doi.org/10.1093/arclin/acv020
    [53] Scheibel RS, Newsome MR, Troyanskaya M, et al. (2012) Altered brain activation in military personnel with one or more traumatic brain injuries following blast. J Int Neuropsychol Soc 18: 89-100. https://doi.org/10.1017/S1355617711001433
    [54] Talavage TM, Nauman EA, Breedlove EL, et al. (2014) Functionally-detected cognitive impairment in high school football players without clinically-diagnosed concussion. J Neurotrauma 31: 327-338. https://doi.org/10.1089/neu.2010.1512
    [55] Ford JH, Giovanello KS, Guskiewicz KM (2013) Episodic memory in former professional football players with a history of concussion: an event-related functional neuroimaging study. J Neurotrauma 30: 1683-1701. https://doi.org/10.1089/neu.2012.2535
    [56] Keightley ML, Saluja RS, Chen J-K, et al. (2014) A functional magnetic resonance imaging study of working memory in youth after sports-related concussion: is it still working?. J Neurotrauma 31: 437-451. https://doi.org/10.1089/neu.2013.3052
    [57] Monti JM, Voss MW, Pence A, et al. (2013) History of mild traumatic brain injury is associated with deficits in relational memory, reduced hippocampal volume, and less neural activity later in life. Front Aging Neurosci 5: 41. https://doi.org/10.3389/fnagi.2013.00041
    [58] Clark MD, Varangis EML, Champagne AA, et al. (2018) Effects of Career Duration, Concussion History, and Playing Position on White Matter Microstructure and Functional Neural Recruitment in Former College and Professional Football Athletes. Radiology 286: 967-977. https://doi.org/10.1148/radiol.2017170539
    [59] Hampshire A, MacDonald A, Owen AM (2013) Hypoconnectivity and hyperfrontality in retired American football players. Sci Rep 3: 2972. https://doi.org/10.1038/srep02972
    [60] Goswami R, Dufort P, Tartaglia MC, et al. (2016) Frontotemporal correlates of impulsivity and machine learning in retired professional athletes with a history of multiple concussions. Brain Struct Funct 221: 1911-1925. https://doi.org/10.1007/s00429-015-1012-0
    [61] Rajesh A, Cooke GE, Monti JM, et al. (2017) Differences in Brain Architecture in Remote Mild Traumatic Brain Injury. J Neurotrauma 34: 3280-3287. https://doi.org/10.1089/neu.2017.5047
    [62] Rowland JA, Stapleton-Kotloski JR, Dobbins DL, et al. (2018) Increased Small-World Network Topology Following Deployment-Acquired Traumatic Brain Injury Associated with the Development of Post-Traumatic Stress Disorder. Brain Connect 8: 205-211. https://doi.org/10.1089/brain.2017.0556
    [63] Wang Y, Bartels HM, Nelson LD (2020) A Systematic Review of ASL Perfusion MRI in Mild TBI. Neuropsychol Rev . https://doi.org/10.1007/s11065-020-09451-7
    [64] Alosco ML, Tripodis Y, Rowland B, et al. (2020) A magnetic resonance spectroscopy investigation in symptomatic former NFL players. Brain Imaging Behav 14: 1419-1429. https://doi.org/10.1007/s11682-019-00060-4
    [65] Davie CA, Pirtosek Z, Barker GJ, et al. (1995) Magnetic resonance spectroscopic study of parkinsonism related to boxing. J Neurol Neurosurg Psychiatry 58: 688-691. https://doi.org/10.1136/jnnp.58.6.688
    [66] Hetherington HP, Hamid H, Kulas J, et al. (2014) MRSI of the medial temporal lobe at 7 T in explosive blast mild traumatic brain injury. Magn Reson Med 71: 1358-1367. https://doi.org/10.1002/mrm.24814
    [67] Koerte IK, Lin AP, Muehlmann M, et al. (2015) Altered Neurochemistry in Former Professional Soccer Players without a History of Concussion. J Neurotrauma 32: 1287-1293. https://doi.org/10.1089/neu.2014.3715
    [68] Lin AP, Ramadan S, Stern RA, et al. (2015) Changes in the neurochemistry of athletes with repetitive brain trauma: preliminary results using localized correlated spectroscopy. Alzheimer's Research Therapy 7: 13. https://doi.org/10.1186/s13195-015-0094-5
    [69] Tremblay S, De Beaumont L, Henry LC, et al. (2013) Sports concussions and aging: a neuroimaging investigation. Cereb Cortex 23: 1159-1166. https://doi.org/10.1093/cercor/bhs102
    [70] Lin AP, Ramadan S, Stern RA, et al. (2015) Changes in the neurochemistry of athletes with repetitive brain trauma: preliminary results using localized correlated spectroscopy. Alzheimers Res Ther 7: 13. https://doi.org/10.1186/s13195-015-0094-5
    [71] Helmer KG, Pasternak O, Fredman E, et al. (2014) Hockey Concussion Education Project, Part 1. Susceptibility-weighted imaging study in male and female ice hockey players over a single season. J Neurosurg 120: 864-872. https://doi.org/10.3171/2013.12.JNS132093
    [72] Hasiloglu ZI, Albayram S, Selcuk H, et al. (2011) Cerebral microhemorrhages detected by susceptibility-weighted imaging in amateur boxers. AJNR Am J Neuroradiol 32: 99-102. https://doi.org/10.3174/ajnr.A2250
    [73] Viola-Saltzman M, Musleh C (2016) Traumatic brain injury-induced sleep disorders. Neuropsychiatr Dis Treat 12: 339-348. https://doi.org/10.2147/NDT.S69105
    [74] Eldeş T, Çeliker FB, Bilir Ö, et al. (2020) How important is susceptibility-weighted imaging in mild traumatic brain injury?. Ulus Travma Acil Cerrahi Derg 26: 574-579. https://doi.org/10.14744/tjtes.2019.35485
    [75] Huang Y-L, Kuo Y-S, Tseng Y-C, et al. (2015) Susceptibility-weighted MRI in mild traumatic brain injury. Neurology 84: 580. https://doi.org/10.1212/WNL.0000000000001237
    [76] Tate DF, Gusman M, Kini J, et al. (2017) Susceptibility Weighted Imaging and White Matter Abnormality Findings in Service Members With Persistent Cognitive Symptoms Following Mild Traumatic Brain Injury. Mil Med 182: e1651-e1658. https://doi.org/10.7205/MILMED-D-16-00132
    [77] Ayaz M, Boikov AS, Haacke EM, et al. (2010) Imaging cerebral microbleeds using susceptibility weighted imaging: one step toward detecting vascular dementia. J Magn Reson Imaging 31: 142-148. https://doi.org/10.1002/jmri.22001
    [78] Sparacia G, Agnello F, Sparacia B, et al. (2017) Assessment of cerebral microbleeds by susceptibility-weighted imaging in Alzheimer's disease patients: A neuroimaging biomarker of the disease. Neuroradiol J 30: 330-335. https://doi.org/10.1177/1971400916689483
    [79] Lee BG, Leavitt MJ, Bernick CB, et al. (2018) A Systematic Review of Positron Emission Tomography of Tau, Amyloid Beta, and Neuroinflammation in Chronic Traumatic Encephalopathy: The Evidence To Date. J Neurotrauma 35: 2015-2024. https://doi.org/10.1089/neu.2017.5558
    [80] Chen ST, Siddarth P, Merrill DA, et al. (2018) FDDNP-PET Tau Brain Protein Binding Patterns in Military Personnel with Suspected Chronic Traumatic Encephalopathy1. J Alzheimers Dis 65: 79-88. https://doi.org/10.3233/JAD-171152
    [81] Turk KW, Geada A, Alvarez VE, et al. (2022) A comparison between tau and amyloid-β cerebrospinal fluid biomarkers in chronic traumatic encephalopathy and Alzheimer disease. Alzheimers Res Ther 14: 28. https://doi.org/10.1186/s13195-022-00976-y
    [82] Stern RA, Adler CH, Chen K, et al. (2019) Tau Positron-Emission Tomography in Former National Football League Players. N Engl J Med 380: 1716-1725. https://doi.org/10.1056/NEJMoa1900757
    [83] Mantyh WG, Spina S, Lee A, et al. (2020) Tau Positron Emission Tomographic Findings in a Former US Football Player With Pathologically Confirmed Chronic Traumatic Encephalopathy. JAMA Neurol 77: 517-521. https://doi.org/10.1001/jamaneurol.2019.4509
    [84] Kimura Y, Ichise M, Ito H, et al. (2015) PET Quantification of Tau Pathology in Human Brain with 11C-PBB3. J Nucl Med 56: 1359-1365. https://doi.org/10.2967/jnumed.115.160127
    [85] Okamura N, Furumoto S, Fodero-Tavoletti MT, et al. (2014) Non-invasive assessment of Alzheimer's disease neurofibrillary pathology using 18F-THK5105 PET. Brain 137: 1762-1771. https://doi.org/10.1093/brain/awu064
    [86] Harada R, Okamura N, Furumoto S, et al. (2015) [(18)F]THK-5117 PET for assessing neurofibrillary pathology in Alzheimer's disease. Eur J Nucl Med Mol Imaging 42: 1052-1061. https://doi.org/10.1007/s00259-015-3035-4
    [87] Harada R, Okamura N, Furumoto S, et al. (2016) 18F-THK5351: A Novel PET Radiotracer for Imaging Neurofibrillary Pathology in Alzheimer Disease. J Nucl Med 57: 208-214. https://doi.org/10.2967/jnumed.115.164848
    [88] Dickstein DL, Pullman MY, Fernandez C, et al. (2016) Cerebral [(18) F]T807/AV1451 retention pattern in clinically probable CTE resembles pathognomonic distribution of CTE tauopathy. Transl Psychiatry 6: e900. https://doi.org/10.1038/tp.2016.175
    [89] Clark CM, Schneider JA, Bedell BJ, et al. (2011) Use of florbetapir-PET for imaging beta-amyloid pathology. Jama 305: 275-283. https://doi.org/10.1001/jama.2010.2008
    [90] Rabinovici GD, Furst AJ, O'Neil JP, et al. (2007) 11C-PIB PET imaging in Alzheimer disease and frontotemporal lobar degeneration. Neurology 68: 1205-1212. https://doi.org/10.1212/01.wnl.0000259035.98480.ed
    [91] Huang CX, Li Y-H, Lu W, et al. (2022) Positron emission tomography imaging for the assessment of mild traumatic brain injury and chronic traumatic encephalopathy: recent advances in radiotracers. Neural Regen Res 17: 74-81. https://doi.org/10.4103/1673-5374.314285
    [92] Passamonti L, Rodríguez PV, Hong YT, et al. (2017) 18F-AV-1451 positron emission tomography in Alzheimer's disease and progressive supranuclear palsy. Brain 140: 781-791. https://doi.org/10.1093/brain/aww340
    [93] Kimura Y, Endo H, Ichise M, et al. (2016) A new method to quantify tau pathologies with (11)C-PBB3 PET using reference tissue voxels extracted from brain cortical gray matter. EJNMMI Res 6: 24. https://doi.org/10.1186/s13550-016-0182-y
    [94] Ono M, Sahara N, Kumata K, et al. (2017) Distinct binding of PET ligands PBB3 and AV-1451 to tau fibril strains in neurodegenerative tauopathies. Brain 140: 764-780. https://doi.org/10.1093/brain/aww339
    [95] Tago T, Furumoto S, Okamura N, et al. (2016) Preclinical Evaluation of [(18)F]THK-5105 Enantiomers: Effects of Chirality on Its Effectiveness as a Tau Imaging Radiotracer. Mol Imaging Biol 18: 258-266. https://doi.org/10.1007/s11307-015-0879-8
    [96] Lemoine L, Gillberg P-G, Svedberg M, et al. (2017) Comparative binding properties of the tau PET tracers THK5117, THK5351, PBB3, and T807 in postmortem Alzheimer brains. Alzheimers Res Ther 9: 96. https://doi.org/10.1186/s13195-017-0325-z
    [97] Leuzy A, Chiotis K, Lemoine L, et al. (2019) Tau PET imaging in neurodegenerative tauopathies-still a challenge. Mol Psychiatry 24: 1112-1134. https://doi.org/10.1038/s41380-018-0342-8
    [98] Lucke-Wold BP, Turner RC, Logsdon AF, et al. (2014) Linking traumatic brain injury to chronic traumatic encephalopathy: identification of potential mechanisms leading to neurofibrillary tangle development. J Neurotrauma 31: 1129-1138. https://doi.org/10.1089/neu.2013.3303
    [99] Chen L (2018) What triggers tauopathy in chronic traumatic encephalopathy?. Neural Regen Res 13: 985-986. https://doi.org/10.4103/1673-5374.233439
    [100] Moszczynski AJ, Strong W, Xu K, et al. (2018) Pathologic Thr(175) tau phosphorylation in CTE and CTE with ALS. Neurology 90: e380-e387. https://doi.org/10.1212/WNL.0000000000004899
    [101] Shao F, Wang X, Wu H, et al. (2022) Microglia and Neuroinflammation: Crucial Pathological Mechanisms in Traumatic Brain Injury-Induced Neurodegeneration. Front Aging Neurosci 14: 825086. https://doi.org/10.3389/fnagi.2022.825086
    [102] Alosco ML, Tripodis Y, Fritts NG, et al. (2018) Cerebrospinal fluid tau, Aβ, and sTREM2 in Former National Football League Players: Modeling the relationship between repetitive head impacts, microglial activation, and neurodegeneration. Alzheimers Dement 14: 1159-1170. https://doi.org/10.1016/j.jalz.2018.05.004
    [103] Verboon LN, Patel HC, Greenhalgh AD (2021) The Immune System's Role in the Consequences of Mild Traumatic Brain Injury (Concussion). Front Immunol 12: 620698. https://doi.org/10.3389/fimmu.2021.620698
    [104] Snyder HM, Carare RO, DeKosky ST, et al. (2018) Military-related risk factors for dementia. Alzheimers Dement 14: 1651-1662. https://doi.org/10.1016/j.jalz.2018.08.011
    [105] Zhou Y, Song WM, Andhey PS, et al. (2020) Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer's disease. Nat Med 26: 131-142. https://doi.org/10.1038/s41591-019-0695-9
    [106] Silva MC, Haggarty SJ (2020) Tauopathies: Deciphering Disease Mechanisms to Develop Effective Therapies. Int J Mol Sci 21. https://doi.org/10.3390/ijms21238948
    [107] Weissenfels R (2018) CCL11 as a Biomarker for the In Vivo Diagnosis of Chronic Traumatic Encephalopathy.Claremont McKenna College.
    [108] Hughes CE, Nibbs RJB (2018) A guide to chemokines and their receptors. Febs J 285: 2944-2971. https://doi.org/10.1111/febs.14466
    [109] Kovac A, Erickson MA, Banks WA (2011) Brain microvascular pericytes are immunoactive in culture: cytokine, chemokine, nitric oxide, and LRP-1 expression in response to lipopolysaccharide. J Neuroinflamm 8: 139. https://doi.org/10.1186/1742-2094-8-139
    [110] Villeda SA, Luo J, Mosher KI, et al. (2011) The ageing systemic milieu negatively regulates neurogenesis and cognitive function. Nature 477: 90-94. https://doi.org/10.1038/nature10357
    [111] Parajuli B, Horiuchi H, Mizuno T, et al. (2015) CCL11 enhances excitotoxic neuronal death by producing reactive oxygen species in microglia. Glia 63: 2274-2284. https://doi.org/10.1002/glia.22892
    [112] Baruch K, Ron-Harel N, Gal H, et al. (2013) CNS-specific immunity at the choroid plexus shifts toward destructive Th2 inflammation in brain aging. Proc Natl Acad Sci U S A 110: 2264-2269. https://doi.org/10.1073/pnas.1211270110
    [113] Huber AK, Wang L, Han P, et al. (2014) Dysregulation of the IL-23/IL-17 axis and myeloid factors in secondary progressive MS. Neurology 83: 1500-1507. https://doi.org/10.1212/WNL.0000000000000908
    [114] Wild E, Magnusson A, Swales NL, et al. (2011) Abnormal peripheral chemokine profile in Huntington's disease. PLoS Curr 3: Rrn1231. https://doi.org/10.1371/currents.RRN1231
    [115] Leung R, Proitsi P, Simmons A, et al. (2013) Inflammatory proteins in plasma are associated with severity of Alzheimer's disease. PLoS One 8: e64971. https://doi.org/10.1371/journal.pone.0064971
    [116] Cherry JD, Stein TD, Tripodis Y, et al. (2017) CCL11 is increased in the CNS in chronic traumatic encephalopathy but not in Alzheimer's disease. PLoS One 12: e0185541. https://doi.org/10.1371/journal.pone.0185541
    [117] Gao W, Zhang Z, Lv X, et al. (2020) Neurofilament light chain level in traumatic brain injury: A system review and meta-analysis. Medicine (Baltimore) 99: e22363. https://doi.org/10.1097/MD.0000000000022363
    [118] Gaiottino J, Norgren N, Dobson R, et al. (2013) Increased neurofilament light chain blood levels in neurodegenerative neurological diseases. PLoS One 8: e75091. https://doi.org/10.1371/journal.pone.0075091
    [119] Janigro D, Mondello S, Posti JP, et al. (2022) GFAP and S100B: What You Always Wanted to Know and Never Dared to Ask. Front Neurol 13: 835597. https://doi.org/10.3389/fneur.2022.835597
    [120] Gill J, Latour L, Diaz-Arrastia R, et al. (2018) Glial fibrillary acidic protein elevations relate to neuroimaging abnormalities after mild TBI. Neurology 91: e1385-e1389. https://doi.org/10.1212/WNL.0000000000006321
    [121] Okonkwo DO, Yue JK, Puccio AM, et al. (2013) GFAP-BDP as an acute diagnostic marker in traumatic brain injury: results from the prospective transforming research and clinical knowledge in traumatic brain injury study. J Neurotrauma 30: 1490-1497. https://doi.org/10.1089/neu.2013.2883
    [122] Castellani RJ (2015) Chronic traumatic encephalopathy: A paradigm in search of evidence?. Lab Invest 95: 576-584. https://doi.org/10.1038/labinvest.2015.54
    [123] Katsumoto A, Takeuchi H, Tanaka F (2019) Tau Pathology in Chronic Traumatic Encephalopathy and Alzheimer's Disease: Similarities and Differences. Front Neurol 10: 980. https://doi.org/10.3389/fneur.2019.00980
    [124] Stern RA, Tripodis Y, Baugh CM, et al. (2016) Preliminary Study of Plasma Exosomal Tau as a Potential Biomarker for Chronic Traumatic Encephalopathy. J Alzheimers Dis 51: 1099-1109. https://doi.org/10.3233/JAD-151028
    [125] Jay TR, von Saucken VE, Landreth GE (2017) TREM2 in Neurodegenerative Diseases. Mol Neurodegener 12: 56. https://doi.org/10.1186/s13024-017-0197-5
    [126] Wang KK, Yang Z, Zhu T, et al. (2018) An update on diagnostic and prognostic biomarkers for traumatic brain injury. Expert Rev Mol Diagn 18: 165-180. https://doi.org/10.1080/14737159.2018.1428089
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