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Plasma phosphorylated tau 217 and phosphorylated tau 181 as biomarkers in Alzheimer's disease and frontotemporal lobar degeneration: a retrospective diagnostic performance study
Open accessAbstract
Background Plasma tau phosphorylated at threonine 217 (p-tau217) and plasma tau phosphorylated at threonine 181 (p-tau181) are associated with Alzheimer's disease tau pathology. We compared the diagnostic value of both biomarkers in cognitively unimpaired participants and patients with a clinical diagnosis of mild cognitive impairment, Alzheimer's disease syndromes, or frontotemporal lobar degeneration (FTLD) syndromes.Methods In this retrospective multicohort diagnostic performance study, we analysed plasma samples, obtained from patients aged 18-99 years old who had been diagnosed with Alzheimer's disease syndromes (Alzheimer's disease dementia, logopenic variant primary progressive aphasia, or posterior cortical atrophy), FTLD syndromes (corticobasal syndrome, progressive supranuclear palsy, behavioural variant frontotemporal dementia, non-fluent variant primary progressive aphasia, or semantic variant primary progressive aphasia), or mild cognitive impairment; the participants were from the University of California San Francisco (UCSF) Memory and Aging Center, San Francisco, CA, USA, and the Advancing Research and Treatment for Frontotemporal Lobar Degeneration Consortium (ARTFL; 17 sites in the USA and two in Canada). Participants from both cohorts were carefully characterised, including assessments of CSF p-tau181, amyloid-PET or tau-PET (or both), and clinical and cognitive evaluations. Plasma p-tau181 and p-tau217 were measured using electrochemiluminescence-based assays, which differed only in the biotinylated antibody epitope specificity. Receiver operating characteristic analyses were used to determine diagnostic accuracy of both plasma markers using clinical diagnosis, neuropathological findings, and amyloid-PET and tau-PET measures as gold standards. Difference between two area under the curve (AUC) analyses were tested with the Delong test.Findings Data were collected from 593 participants (443 from UCSF and 150 from ARTFL, mean age 64 years [SD 13], 294 [50%] women) between July 1 and Nov 30, 2020. Plasma p-tau217 and p-tau181 were correlated (r=0·90, p<0·0001). Both p-tau217 and p-tau181 concentrations were increased in people with Alzheimer's disease syndromes (n=75, mean age 65 years [SD 10]) relative to cognitively unimpaired controls (n=118, mean age 61 years [SD 18]; AUC=0·98 [95% CI 0·95-1·00] for p-tau217, AUC=0·97 [0·94-0·99] for p-tau181; p diff=0·31) and in pathology-confirmed Alzheimer's disease (n=15, mean age 73 years [SD 12]) versus pathologically confirmed FTLD (n=68, mean age 67 years [SD 8]; AUC=0·96 [0·92-1·00] for p-tau217, AUC=0·91 [0·82-1·00] for p-tau181; p diff=0·22). P-tau217 outperformed p-tau181 in differentiating patients with Alzheimer's disease syndromes (n=75) from those with FTLD syndromes (n=274, mean age 67 years [SD 9]; AUC=0·93 [0·91-0·96] for p-tau217, AUC=0·91 [0·88-0·94] for p-tau181; p diff=0·01). P-tau217 was a stronger indicator of amyloid-PET positivity (n=146, AUC=0·91 [0·88-0·94]) than was p-tau181 (n=214, AUC=0·89 [0·86-0·93]; p diff=0·049). Tau-PET binding in the temporal cortex was more strongly associated with p-tau217 than p-tau181 (r=0·80 vs r=0·72; p diff<0·0001, n=230).Interpretation Both p-tau217 and p-tau181 had excellent diagnostic performance for differentiating patients with Alzheimer's disease syndromes from other neurodegenerative disorders. There was some evidence in favour of p-tau217 compared with p-tau181 for differential diagnosis of Alzheimer's disease syndromes versus FTLD syndromes, as an indication of amyloid-PET-positivity, and for stronger correlations with tau-PET signal. Pending replication in independent, diverse, and older cohorts, plasma p-tau217 and p-tau181 could be useful screening tools to identify individuals with underlying amyloid and Alzheimer's disease tau pathology.Funding US National Institutes of Health, State of California Department of Health Services, Rainwater Charitable Foundation, Michael J Fox foundation, Association for Frontotemporal Degeneration, Alzheimer's Association.
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“Nonetheless, plasma p‐tau217 often shows a superior association with temporal lobe tau load compared to other plasma biomarkers (including other p‐tau species), 13 , 25 , 36”
From Machine learning prediction of tau‐PET in Alzheimer's disease using plasma, MRI, and clinical data (2025) · cites this paper as [36]
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“Several recent studies have reported that plasma biomarkers have excellent diagnostic accuracy for AD, with sensitivity or specificity often exceeding 90% (refs. 4–10).”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [7]
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“Although total tau and amyloid β concentrations are not sensitive or specific for any of the frontotemporal lobar degeneration proteinopathies, elevated phosphorylated tau concentrations in either CSF or plasma suggest that underlying Alzheimer's disease pathology is likely to be the cause of the frontotemporal dementia clinical syndrome.49,55,56”
From Advances and controversies in frontotemporal dementia: diagnosis, biomarkers, and therapeutic considerations (2022) · cites this paper as [56]
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“Notably, p-tau217 exhibits larger-fold changes compared with p-tau181 and p-tau231,10 often achieving high discrimination, with areas under the curve (AUC) exceeding 90%.19,23”
From Diagnostic Accuracy of a Plasma Phosphorylated Tau 217 Immunoassay for Alzheimer Disease Pathology (2024) · cites this paper as [23]
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In the citing paper
“Although total tau and amyloid β concentrations are not sensitive or specific for any of the frontotemporal lobar degeneration proteinopathies, elevated phosphorylated tau concentrations in either CSF or plasma suggest that underlying Alzheimer's disease pathology is likely to be the cause of the frontotemporal dementia clinical syndrome.49,55,56”
From Advances and controversies in frontotemporal dementia: diagnosis, biomarkers, and therapeutic considerations (2022) · cites this paper as [56]
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“Like NfL (neurofilament light chain), plasma tau has emerged as a marker of neuronal distress. It appears in several different neurodegenerative diseases, including importantly even preclinical AD patients (76–85).”
From All the Tau We Cannot See (2023) · cites this paper as [85]
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“It appears to be more specific for AD pathology, at least compared to frontotemporal dementia and chronic traumatic encephalopathy (85, 91, 92), but it is increased in prion disease (83).”
From All the Tau We Cannot See (2023) · cites this paper as [85]
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Citations
Cites
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
Staging of brain pathology related to sporadic Parkinson’s disease
Braak, H., Tredici, K. D., Rüb, U., de Vos, R. A. I., Jansen Steur, E. N. H., & Braak, E. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00065-9 · Cited by 10,777
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221
Self-citationClassification of primary progressive aphasia and its variants
Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141
Self-citationDiagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium
McKeith, I. G., Boeve, B. F., Dickson, D. W., Halliday, G., Taylor, J.-P., Weintraub, D., Aarsland, D., Galvin, J., Attems, J., Ballard, C. G., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004058 · Cited by 4,476
Self-citationMontine, T. J., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., Mirra, S. S., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-011-0910-3 · Cited by 2,894
Appelhof, B., Bakker, C., den IJssel, J. C. L. V. D., Zwijsen, S. A., Smalbrugge, M., Verhey, F. R. J., de Vugt, M. E., Zuidema, S. U., & Koopmans, R. T. C. M. (2017) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000477087 · Cited by 2,774
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Höglinger, G. U., Respondek, G., Stamelou, M., Kurz, C., Josephs, K. A., Lang, A. E., Mollenhauer, B., Müller, U., Nilsson, C., Whitwell, J. L., et al. (2017) · Movement Disorders · doi:10.1002/mds.26987 · Cited by 2,434
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Lantero‐Rodriguez, J., Camporesi, E., Montoliu‐Gaya, L., Gobom, J., Piotrowska, D., Olsson, M., Matečko‐Burmann, I., Becker, B., Brinkmalm, A., Burmann, B. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26751389
Self-citationKang, X., Wang, D., Zhang, L., Huang, T., Liu, S., Feng, X., Guo, Y., Zhang, Z., Wang, Z., Ren, H., et al. (2023) · Figshare · doi:10.6084/m9.figshare.26615083
Arranz, J., Zhu, N., Rubio‐Guerra, S., Rodríguez‐Baz, Í., Ferrer, R., Carmona‐Iragui, M., Barroeta, I., Illán‐Gala, I., Santos‐Santos, M., Fortea, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26739393
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Murray, M. E., Moloney, C. M., Kouri, N., Syrjanen, J. A., Matchett, B. J., Rothberg, D. M., Tranovich, J. F., Sirmans, T. N. H., Wiste, H. J., Boon, B. D. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26557766
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Additional file 8 of Tau protein profiling in tauopathies: a human brain study
Lantero‐Rodriguez, J., Camporesi, E., Montoliu‐Gaya, L., Gobom, J., Piotrowska, D., Olsson, M., Matečko‐Burmann, I., Becker, B., Brinkmalm, A., Burmann, B. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26751398
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Self-citationGuo, T., Li, A., Sun, P., He, Z., Cai, Y., Lan, G., Liu, L., Li, J., Yang, J., Zhu, Y., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26409831
Additional file 7 of Tau protein profiling in tauopathies: a human brain study
Lantero‐Rodriguez, J., Camporesi, E., Montoliu‐Gaya, L., Gobom, J., Piotrowska, D., Olsson, M., Matečko‐Burmann, I., Becker, B., Brinkmalm, A., Burmann, B. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26751395
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Lantero‐Rodriguez, J., Camporesi, E., Montoliu‐Gaya, L., Gobom, J., Piotrowska, D., Olsson, M., Matečko‐Burmann, I., Becker, B., Brinkmalm, A., Burmann, B. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26333445
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Lantero‐Rodriguez, J., Camporesi, E., Montoliu‐Gaya, L., Gobom, J., Piotrowska, D., Olsson, M., Matečko‐Burmann, I., Becker, B., Brinkmalm, A., Burmann, B. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26751386
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André, Z., Gaštanová, B., Kopániová, A., & Gmitterová, K. (2026) · Neurologie pro praxi · doi:10.36290/neu.2025.022
Yan, K., He, S., Jia, X., Li, H., Liu, D., & Chen, J. (2026) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823261432112 · Cited by 1
Optimal control of Alzheimer’s disease model via multi-target combination therapy
Dong, M., Guo, Z., Zhang, Y., Luo, J., & Zhang, J. (2026) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2026.112425
Koenig, L. N., Huber, H., Chongtham, A., Molfetta, G. D., Andrews, R. D., Lukic, A., Shafiian, N., Fillit, H. M., Blennow, K., Ashton, N. J., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag074
Self-citationBiologically informed blood testing in Alzheimer's disease
Ashton, N. J. (2026) · The Lancet Neurology · doi:10.1016/s1474-4422(26)00092-x
Qiu, Q., Qian, W., Zhao, W., Xie, H., Cao, L., Ye, L., & Initiative, A. D. N. (2026) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823261439687
Patel, A., Guiler, W., Pepper, S., Kemna, R. E., Kueck, P. J., Weidling, I. W., Mayfield, H. D., John, C. S., Mudaranthakam, D. P., Wilkins, H., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1748524
Dementias and Mild Cognitive Impairment in Adults
Boscarino, J. J., Maietta, J. E., Schoenberg, M. R., & Duff, K. M. (2026) · Springer eBooks · doi:10.1007/978-3-032-07777-6_15
Laborchemische Diagnostik, Biomarker
Schwarz, M., Wiltfang, J., & Hansen, N. (2026) · Springer Reference Medizin · doi:10.1007/978-3-642-45028-0_26-2
Gebril, N. M., Elettreby, A. M., Younis, A. H., Moawad, M. H. E. D., Hafez, A. M., Elsayed, T. G., Abdelrahman, K. M., & El-Kot, S. M. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05864-2
Blood ATX(N) Biomarkers and Cognitive Dysfunction in Severe Mental Illnesses
Crescenti, D., Petracci, I., Cesareni, A., Binetti, G. G., Borroni, B., & Ghidoni, R. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27104260
Chen, F., Zhang, H., Huang, Y., Zhu, J., Cui, F., Liang, S., Li, Y., Wang, Y., Xie, X., & Liu, R. (2026) · Acta Biochimica et Biophysica Sinica · doi:10.3724/abbs.2026085
Ma, X., Hansra, G. K., Jayasena, T., Crawford, J. D., Poljak, A., & Sachdev, P. S. (2026) · medRxiv · doi:10.64898/2026.05.14.26353162
Stage-dependent dynamics of neuroinflammation across the Alzheimer’s continuum
Yu, R., Suraev, A. S., Shi, L., Martins, R. N., Drummond, E., Kong, S., Bassett, K., Naismith, S. L., & Michaelian, J. C. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2026.106823
Powell, W. C., Yan, N., Tse, E., Melo, A. A., Sin, N., Southworth, D. R., & Gestwicki, J. E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.19.726321
Kong, Z., Fu, J., Luo, H., Su, C., Diao, L., He, Q., Xu, H., Zhou, X., Xiao, Y., Qin, C., et al. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05959-w
A Biomarker Out of Context: Understanding High p-tau217 in the Developing Brain
Pal, A., Yadav, H., Yadav, D., Goel, F., & Rajput, M. S. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05968-9
Huang, I.-L., Matsuda, H., Pai, Y., & Pai, M. (2026) · Diagnostics · doi:10.3390/diagnostics16172702
Gomar, J. J., Gordon, M. L., Christen, E., Giliberto, L., Keehlisen, L., Gong, M., Hoehn, N., Morley, E., O'Neil, A., Wuelfing, D. L., et al. (2026) · medRxiv · doi:10.64898/2026.06.18.26355956
Wang, P.-J., Yang, X., Ji, L., Shi, J., Cai, X., Sun, P., Liu, H.-X., Jiang, F., & Yang, F. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1858299
Therapeutic plasma exchange in Alzheimer’s disease: From clinical trial to real-world evidence
Khatri, B. O. (2026) · Transfusion and Apheresis Science · doi:10.1016/j.transci.2026.104481
Advances in the Diagnosis and Management of Alzheimer’s Disease
Joshi, P., Tsai, P., Alix, A., & Gopalakrishna, G. (2026) · Advances in Psychiatry and Behavioral Health · doi:10.1016/j.ypsc.2026.05.004
Sindhu, M. A. (2026) · Health & Medical Sciences · doi:10.47134/phms.v3i4.678
Tau-mediated Mechanisms in Alzheimerʼs Disease Pathogenesis
Narayanappa, T. S., Ananthanarayana, V., & Chinnathambi, S. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06057-7
Harris, G. A., Barnhard, L., Brummet, J., & Diaz, K. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1893149
Concordance between plasma biomarkers of phosphorylated tau and tau-PET: A narrative review
van Houwelingen, A., Vernooij, M. W., Vermeiren, M. R., Ossenkoppele, R., van de Giessen, E., Seelaar, H., & Neitzel, J. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261468708
Perez, A., Hammer, H. L., Andersson, V., Saarinen, T., Alfonsín, S., Giuffrè, G. M., Caraglia, N., Martellacci, N., Ramírez‐Toraño, F., Tveitstøl, T., et al. (2026) · GeroScience · doi:10.1007/s11357-026-02466-7
Self-citationZerrouki, H., & Azzaz-Rahmani, S. (2026) · Research Square · doi:10.21203/rs.3.rs-10462750/v1
Witaszczyk, M., Sołtan, A., Wiktorzak, N., Lipska, J., Prządka, J., Kochan-Olszewska, D., Rudnicki, L., Pawlicki, J., Koźma, G., Laskus, J., et al. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6433
Xie, B., Zhang, W., Zhang, Y., Liu, L., You, J., & Li, Q. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1852137
Lenkiewicz, O., Lenkiewicz, J., Chmielewska, Z., Trzciński, M., Kotłowska, A., Napiórkowska, W., Masłowska, A. I., Gwóźdź-Broczkowska, A., & Luba, G. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6492
Silent clues in blood: Proteomic approach for Alzheimer’s disease
da Silva, A. R. V., da Conceição, R. S. V., Medeiros, C. M. D. S., Sousa, M. D. S., de Jesus, J. R., & Júnior, C. A. L. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.08.009
Yuan, C., Zhang, H., Chen, X., Zhu, L., Wang, Z., Wang, Y., & Ge, S. (2026) · Neurological Sciences · doi:10.1007/s10072-026-09322-8
Song, W., Singh, S., Xiang, W., Baldyga, K., Stevens, K., Qi, W., Matsubara, J. K., Ge, C., Deng, H., Kim, J.-E., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03825-8
Mastrangelo, A., Baiardi, S., Ruggeri, E., Bentivenga, G. M., Vargiu, C. M., Mammana, A., Sbriccoli, M., Polischi, B., Carlà, B., Capellari, S., et al. (2026) · Acta Neuropathologica · doi:10.1007/s00401-026-03076-5
Liquid biopsy: current applications and future directions
Zhao, Y., Zhang, M., Zhang, Y., Bu, J., Liu, Z., Wang, C., Wang, L., Li, X., Liu, X., Wang, W., et al. (2026) · Molecular Biomedicine · doi:10.1186/s43556-026-00533-1
Hwang, J., Pietras, A., Naasan, G., Elahi, F. M., & Gandy, S. (2026) · Neurocase · doi:10.1080/13554794.2026.2730462
Wilczkowski, P., Palka, A., Krzysztofek, N., Kopyciński, W., Grzybowska, M., Boszczyk, K., Krawczyk, N., Kamela, M., Baran, A., & Krawczyk, O. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6339
Sánchez‐Soblechero, A., Villarejo‐Galende, A., Carreras, M. T., García, Á. B., Puertas, C., Bullido, Y. F., Vieira, A., Gundín, I., Blanco-Palmero, V. A., González‐Sánchez, M., et al. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261487171
Zheng, Q., Liu, R.-S., Chen, B.-R., Chen, A., Zhu, Q., Zhang, H., Chen, Z.-Y., & Liu, X.-Z. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27188271
Contreras, J. A., Ortega, N. E., Jones, R., Thorpe, R. J., & Hayes, C. A. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1870150
Wang, S., Zhang, J., 孙绍军, Xiao, R., 张志镒, & Yao, J. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1886781
Shateri, A., & Rezaei, S. (2026) · Romanian Journal of Neurology · doi:10.37897/rjn.2026.3.7
Shir, D., Algeciras‐Schimnich, A., Piura, Y. D., Bornhorst, J. A., Figdore, D. J., Elgenidi, A., Lachner, C., Graff‐Radford, N. R., & Day, G. S. (2026) · Neurology · doi:10.1212/wnl.0000000000218591
Metadata
- Authors
- Thijssen, E. H., La Joie, R., Strom, A., Fonseca, C., Iaccarino, L., Wolf, A., Spina, S., Allen, I. E., Cobigo, Y., Heuer, H., VandeVrede, L., Proctor, N. K., Lago, A. L., Baker, S., Sivasankaran, R., Kieloch, A., Kinhikar, A., Yu, L., Valentin, M.-A., Jeromin, A., Zetterberg, H., Hansson, O., Mattsson-Carlgren, N., Graham, D., Blennow, K., Kramer, J. H., Grinberg, L. T., Seeley, W. W., Rosen, H., Boeve, B. F., Miller, B. L., Teunissen, C. E., Rabinovici, G. D., Rojas, J. C., Dage, J. L., & Boxer, A. L.
- Affiliations
- University of California, San Francisco (US)
- Eli Lilly (United States) (US)
- Lawrence Berkeley National Laboratory (US)
- Quanterix (United States) (US)
- Sahlgrenska University Hospital (SE)
- Lund University (SE)
- Biogen (United States) (US)
- Mayo Clinic (US)
- Amsterdam Neuroscience (NL)
- Corresponding author
- Boxer, Adam L
- ORCID
- Thijssen, Elisabeth H
- Strom, Amelia
- Fonseca, Corrina
- Iaccarino, Leonardo
- Wolf, Amy
- Spina, Salvatore
- Allen, Isabel E
- Cobigo, Yann
- Heuer, Hilary
- VandeVrede, Lawren
- Proctor, Nicholas K
- Lago, Argentina Lario
- Baker, Suzanne
- Sivasankaran, Rajeev
- Kinhikar, Arvind
- Yu, Lili
- Zetterberg, Henrik
- Hansson, Oskar
- Graham, Danielle
- Blennow, Kaj
- Kramer, Joel H
- Grinberg, Lea T
- Seeley, William W
- Rosen, Howard
- Boeve, Bradley F
- Miller, Bruce L
- Teunissen, Charlotte E
- Rabinovici, Gil D
- Rojas, Julio C
- Dage, Jeffrey L
- Boxer, Adam L
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 20
- Issue
- 9
- Pages
- 739-752
- ISSN
- 1474-4422 (ISSN-L)
- PMC
- PMC8711249
- OpenAlex
- W3194829575
- Cited by
- 607
- References
- 40
- Citations by year
- 2026: 127 · 2025: 161 · 2024: 119 · 2023: 101 · 2022: 87 · 2021: 11
- FWCI
- 57.94
- Type
- journal article
- Language
- en
- Update notices
- erratum (2021-10-01)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- The Lancet Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Alzheimer's Association (AARF-16\u2013443577, 443577)
- National Center for Advancing Translational Sciences (LEFFTDS U01 AG045390)
- National Institute of Neurological Disorders and Stroke (U54NS092089)
- National Institute on Aging
- American College of Radiology
- Association for Frontotemporal Degeneration
- Rainwater Charitable Foundation
- NIH (R01 AG045611, U24AG21886, K24AG053435, R01AG038791, P50AG016574, K99AG065501, U19AG063911, P50AG023501, P01AG019724)
- Vetenskapsrådet (2018\u201302532, 02532)
- Little Family Foundation
- European Research Council (681712)
- Michael J Fox Foundation for Parkinson's Research
- Alzheimer's Drug Discovery Foundation (201809\u20132016862, 2016862, 201809)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- Alzheimer's disease, frontotemporal lobar degeneration, plasma biomarkers, diagnostic accuracy, mild cognitive impairment, tau PET, amyloid PET, primary progressive aphasia, corticobasal syndrome, progressive supranuclear palsy, behavioral variant frontotemporal dementia, posterior cortical atrophy, logopenic variant primary progressive aphasia, semantic dementia, electrochemiluminescence assay
- MeSH terms
- Adult, Aged, Aged, 80 and over, Alzheimer Disease, Diagnosis, Differential, Female, Humans, Male, Middle Aged, Phosphorylation, Predictive Value of Tests, Retrospective Studies, Biomarkers, Amyloid beta-Peptides, tau Proteins, Positron-Emission Tomography, Frontotemporal Lobar Degeneration, Cognitive Dysfunction
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