Plasma phosphorylated tau 217 in preclinical Alzheimer’s disease
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Abstract
An accurate blood test for Alzheimer’s disease that is sensitive to preclinical proteinopathy and cognitive decline has clear implications for early detection and secondary prevention. We assessed the performance of plasma phosphorylated tau 217 (pTau217) against brain PET markers of amyloid [[11C]-labelled Pittsburgh compound B (PiB)] and tau ([18F]MK-6240) and its utility for predicting longitudinal cognition. Samples were analysed from a subset of participants with up to 8 years follow-up in the Wisconsin Registry for Alzheimer’s Prevention (WRAP; 2001–present; plasma 2011–present), a longitudinal cohort study of adults from midlife, enriched for parental history of Alzheimer’s disease. Participants were a convenience sample who volunteered for at least one PiB scan, had usable banked plasma and were cognitively unimpaired at first plasma collection. Study personnel who interacted with participants or samples were blind to amyloid status. We used mixed effects models and receiver–operator characteristic curves to assess concordance between plasma pTau217 and PET biomarkers of Alzheimer’s disease and mixed effects models to understand the ability of plasma pTau217 to predict longitudinal performance on WRAP’s preclinical Alzheimer’s cognitive composite (PACC-3). The primary analysis included 165 people (108 women; mean age = 62.9 ± 6.06; 160 still enrolled; 2 deceased; 3 discontinued). Plasma pTau217 was strongly related to PET-based estimates of concurrent brain amyloid (β^ = 0.83 (0.75, 0.90), P < 0.001). Concordance was high between plasma pTau217 and both amyloid PET (area under the curve = 0.91, specificity = 0.80, sensitivity = 0.85, positive predictive value = 0.58, negative predictive value = 0.94) and tau PET (area under the curve = 0.95, specificity = 1, sensitivity = 0.85, positive predictive value = 1, negative predictive value = 0.98). Higher baseline pTau217 levels were associated with worse cognitive trajectories (β^pTau×age = −0.07 (−0.09, −0.06), P < 0.001). In a convenience sample of unimpaired adults, plasma pTau217 levels correlate well with concurrent brain Alzheimer’s disease pathophysiology and with prospective cognitive performance. These data indicate that this marker can detect disease before clinical signs and thus may disambiguate presymptomatic Alzheimer’s disease from normal cognitive ageing.
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Detection of Aβ positivity using mass spectrometry %p-tau217 in cognitively normal cohorts appears better than what has been reported when using plasma p-tau217 immunoassays.
“Detection of Aβ positivity using mass spectrometry %p-tau217 in cognitively normal cohorts appears better than what has been reported when using plasma p-tau217 immunoassays, although this must be confirmed in head-to-head studies22,23,48–50.”
From Highly accurate blood test for Alzheimer's disease is similar or superior to clinical cerebrospinal fluid tests (2024) · cites this paper as [49]
The Methods (Plasma methods) identify this study’s pTau217 test as an immunoassay, and the Results (pTau217 threshold estimation) report an AUC of 0.90–0.91 for detecting amyloid-PET positivity in cognitively unimpaired participants. The paper therefore supplies immunoassay performance data, but it does not assess mass-spectrometry %p-tau217 or establish that its performance is better. (LLM, conf=0.84)
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High performance plasma amyloid-β biomarkers for Alzheimer's disease
Nakamura, A., Kaneko, N., Villemagne, V. L., Kato, T., Doecke, J., Doré, V., Fowler, C., Li, Q.-X., Martins, R., Rowe, C., et al. (2018) · Nature · doi:10.1038/nature25456 · Cited by 1,681 · see citing works
Thijssen, E. H., La Joie, R., Strom, A., Fonseca, C., Iaccarino, L., Wolf, A., Spina, S., Allen, I. E., Cobigo, Y., Heuer, H., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00214-3 · Cited by 607 · see citing works
Self-citationOvod, V., Ramsey, K. N., Mawuenyega, K. G., Bollinger, J. G., Hicks, T., Schneider, T., Sullivan, M., Paumier, K., Holtzman, D. M., Morris, J. C., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.06.2266 · Cited by 585 · see citing works
Mielke, M. M., Frank, R. D., Dage, J. L., Jeromin, A., Ashton, N. J., Blennow, K., Karikari, T. K., Vanmechelen, E., Zetterberg, H., Algeciras-Schimnich, A., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.2293 · Cited by 244 · see citing works
Karikari, T. K., Emeršič, A., Vrillon, A., Lantero‐Rodriguez, J., Ashton, N. J., Kramberger, M. G., Dumurgier, J., Hourregue, C., Čučnik, S., Brinkmalm, G., et al. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12236 · Cited by 143 · see citing works
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Research works printed but not linked: 44
- [1]Hansson O. Biomarkers for neurodegenerative diseases. Nat Med. 2021; 27(6): 954– 963. 34083813
- [2]Leuzy A, Mattsson-Carlgren N, Palmqvist S, Janelidze S, Dage JL, Hansson O. Blood-based biomarkers for Alzheimer’s disease. EMBO Mol Med. 2022; 14(1): e14408. PMC8749476 34859598
- [3]Cullen NC, Leuzy A, Janelidze S, et al Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populations. Nat Commun. 2021; 12(1): 3555. 34117234 PMC8196018
- [4]Bateman RJ, Blennow K, Doody R, et al Plasma biomarkers of AD emerging as essential tools for drug development: An EU/US CTAD task force report. J Prev Alzheimers Dise. 2019; 6(3): 169– 173. 31062827
- [5]West T, Kirmess KM, Meyer MR, et al A blood-based diagnostic test incorporating plasma Aβ42/40 ratio, ApoE proteotype, and age accurately identifies brain amyloid status: Findings from a multi cohort validity analysis. Mol Neurodegener. 2021; 16(1): 30. 33933117 PMC8088704
- [8]Palmqvist S, Janelidze S, Stomrud E, et al Performance of fully automated plasma assays as screening tests for Alzheimer disease-related β-amyloid Status. JAMA Neurol. 2019; 76(9): 1060– 1069. 31233127 PMC6593637
- [9]Palmqvist S, Janelidze S, Quiroz YT, et al Discriminative accuracy of plasma phospho-tau217 for Alzheimer disease vs other neurodegenerative disorders. JAMA. 2020; 324(8): 772– 781. 32722745 PMC7388060
- [10]Karikari TK, Pascoal TA, Ashton NJ, et al Blood phosphorylated tau 181 as a biomarker for Alzheimer’s disease: A diagnostic performance and prediction modelling study using data from four prospective cohorts. Lancet Neurol. 2020; 19(5): 422– 433. 32333900
- [11]Doré V, Doecke JD, Saad ZS, et al Plasma P217+tau versus NAV4694 amyloid and MK6240 tau PET across the Alzheimer’s continuum. Alzheimers Dement. 2022; 14(1): e12307. PMC8984092 35415202
- [12]Mattsson N, Cullen NC, Andreasson U, Zetterberg H, Blennow K. Association between longitudinal plasma neurofilament light and neurodegeneration in patients with Alzheimer disease. JAMA Neurol. 2019; 76(7): 791– 799. 31009028 PMC6583067
- [13]Ashton NJ, Janelidze S, Al Khleifat A, et al A multicentre validation study of the diagnostic value of plasma neurofilament light. Nat Commun. 2021; 12(1): 3400. 34099648 PMC8185001
- [14]Elahi FM, Casaletto KB, La Joie R, et al Plasma biomarkers of astrocytic and neuronal dysfunction in early- and late-onset Alzheimer’s disease. Alzheimers Dement. 2020; 16(4): 681– 695. 31879236 PMC7138729
- [15]Pereira JB, Janelidze S, Smith R, et al Plasma GFAP is an early marker of amyloid- but not tau pathology in Alzheimer’s disease. Brain. 2021; 144(11): 3505– 3516. 34259835 PMC8677538
- [16]Benedet AL, Milà-Alomà M, Vrillon A, et al Differences between plasma and cerebrospinal fluid Glial fibrillary acidic protein levels across the Alzheimer disease Continuum. JAMA Neurol. 2021; 78(12): 1471– 1483. 34661615 PMC8524356
- [17]Barthélemy NR, Li Y, Joseph-Mathurin N, et al A soluble phosphorylated tau signature links tau, amyloid and the evolution of stages of dominantly inherited Alzheimer’s disease. Nat Med. 2020; 26(3): 398– 407. 32161412 PMC7309367
- [20]Wennström M, Janelidze S, Nilsson KPR, et al Cellular localization of p-Tau217 in brain and its association with p-Tau217 plasma levels. Acta Neuropathol Commun. 2022; 10(1): 3. 34991721 PMC8734209
- [21]Mattsson-Carlgren N, Janelidze S, Bateman RJ, et al Soluble P-tau217 reflects amyloid and tau pathology and mediates the association of amyloid with tau. EMBO Mol Med. 2021; 13(6): e14022. PMC8185545 33949133
- [22]Janelidze S, Berron D, Smith R, et al Associations of plasma phospho-Tau217 levels with tau positron emission tomography in early Alzheimer disease. JAMA Neurol. 2021; 78(2): 149– 156. 33165506 PMC7653537
- [23]Mattsson-Carlgren N, Janelidze S, Palmqvist S, et al Longitudinal plasma p-Tau217 is increased in early stages of Alzheimer’s disease. Brain. 2020; 143(11): 3234– 3241. 33068398 PMC7719022
- [25]Triana-Baltzer G, Moughadam S, Slemmon R, et al Development and validation of a high-sensitivity assay for measuring P217+tau in plasma. Alzheimers Dement. 2021; 13(1): e12204. PMC8158165 34095436
- [26]Barthélemy NR, Horie K, Sato C, Bateman RJ. Blood plasma phosphorylated-tau isoforms track CNS change in Alzheimer’s disease. J Exp Med. 2020; 217(11): e20200861. PMC7596823 32725127
- [27]Johnson SC, Koscik RL, Jonaitis EM, et al The Wisconsin registry for Alzheimer’s prevention: A review of findings and current directions. Alzheimers Dement. 2018; 10: 130– 142. PMC5755749 29322089
- [28]Janelidze S, Palmqvist S, Leuzy A, et al Detecting amyloid positivity in early Alzheimer’s disease using combinations of plasma Aβ42/Aβ40 and p-tau. Alzheimers Dement. 2022; 18(2): 283– 293. 34151519
- [29]Johnson SC, Christian BT, Okonkwo OC, et al Amyloid burden and neural function in people at risk for Alzheimer’s disease. Neurobiol Aging. 2014; 35(3): 576– 584. 24269021 PMC4018215
- [30]Betthauser TJ, Cody KA, Zammit MD, et al In vivo characterization and quantification of neurofibrillary tau PET radioligand 18F-MK-6240 in humans from Alzheimer disease dementia to young controls. J Nucl Med. 2019; 60(1): 93– 99. 29777006 PMC6354223
- [31]Racine AM, Clark LR, Berman SE, et al Associations between performance on an abbreviated CogState battery, other measures of cognitive function, and biomarkers in people at risk for Alzheimer’s disease. J Alzheimers Dis. 2016; 54(4): 1395– 1408. 27589532 PMC5074904
- [32]Farrell ME, Jiang S, Schultz AP, et al Defining the lowest threshold for amyloid-PET to predict future cognitive decline and amyloid accumulation. Neurology. 2021; 96(4): e619– e631. 33199430 PMC7905788
- [33]Koscik RL, Betthauser TJ, Jonaitis EM, et al Amyloid duration is associated with preclinical cognitive decline and tau PET. Alzheimers Dement (Amst). 2020; 12(1): e12007. PMC7085284 32211502
- [34]Betthauser TJ, Bilgel M, Koscik RL, et al Multi-method investigation of factors influencing amyloid onset and impairment in three cohorts. Brain. 2022; 145(11): 4065– 4079. 35856240 PMC9679170
- [35]Koscik RL, La Rue A, Jonaitis EM, et al Emergence of mild cognitive impairment in late middle-aged adults in the Wisconsin registry for Alzheimer’s prevention. Dement Geriatr Cogn Disord. 2014; 38(1-2): 16– 30. 24556849 PMC4104157
- [36]Koscik R L, Hermann BP, Allison S, et al Validity evidence for the research category, “cognitively unimpaired—Declining,” as a risk marker for mild cognitive impairment and Alzheimer’s disease. Front Aging Neurosci. 2021; 13: 688478. PMC8350058 34381351
- [37]Jonaitis EM, Koscik RL, Clark LR, et al Measuring longitudinal cognition: Individual tests versus composites. Alzheimers Dement. 2019; 11: 74– 84. PMC6816509 31673596
- [39]Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Soft. 2015; 67(1): 1– 48.
- [40]Xu R. Measuring explained variation in linear mixed effects models. Stat Med. 2003; 22(22): 3527– 3541. 14601017
- [41]Ben-Shachar MS, Lüdecke D, Makowski D. Effectsize: Estimation of effect size indices and standardized parameters. J Open Source Softw. 2020; 5(56): 2815.
- [42]Robin X, Turck N, Hainard A, et al pROC: An open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics. 2011; 12: 77. 21414208 PMC3068975
- [43]Youden W. Index for rating diagnostic tests. Biometrics. 1950; 6(2): 172– 173. 15405679
- [44]Bakdash JZ, Marusich LR. Repeated measures correlation. Front Psychol. 2017; 8: 456. 28439244 PMC5383908
- [45]Bakdash JZ, Marusich LR. Rmcorr: Repeated Measures Correlation; 2021. PMC5383908 28439244
- [46]Planche V, Villain N. US Food and drug administration approval of aducanumab-is amyloid load a valid surrogate End point for Alzheimer disease clinical trials? JAMA Neurol. 2021; 78(11): 1307– 1308. 34515750
- [47]Brickman AM, Manly JJ, Honig LS, et al Correlation of plasma and neuroimaging biomarkers in Alzheimer’s disease. Ann Clin Transl Neurol. 2022; 9(5): 756– 761. 35306760 PMC9082382
- [48]Garrett SL, McDaniel D, Obideen M, et al Racial disparity in cerebrospinal fluid amyloid and tau biomarkers and associated cutoffs for mild cognitive impairment. JAMA Netw Open. 2019; 2(12): e1917363. PMC6991300 31834392
- [49]Howell JC, Watts KD, Parker MW, et al Race modifies the relationship between cognition and Alzheimer’s disease cerebrospinal fluid biomarkers. Alzheimers Res Ther. 2017; 9(1): 88. 29096697 PMC5668981
- [50]Windon C, Iaccarino L, Mundada N, et al Comparison of plasma and CSF biomarkers across ethnoracial groups in the ADNI. Alzheimers Dement. 2022; 14(1): e12315. PMC9057320 35510092
Cited by
Sorted by citations
Diagnostic Accuracy of a Plasma Phosphorylated Tau 217 Immunoassay for Alzheimer Disease Pathology
Ashton, N. J., Brum, W. S., Di Molfetta, G., Benedet, A. L., Arslan, B., Jonaitis, E., Langhough, R. E., Cody, K., Wilson, R., Carlsson, C. M., et al. (2024) · JAMA Neurology · doi:10.1001/jamaneurol.2023.5319 · Cited by 884 · see citing works
Self-citationBarthélemy, N. R., Salvadó, G., Schindler, S. E., He, Y., Janelidze, S., Collij, L. E., Saef, B., Henson, R. L., Chen, C. D., Gordon, B. A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-02869-z · Cited by 448 · see citing works
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- Authors
- Jonaitis, E. M., Janelidze, S., Cody, K. A., Langhough, R., Du, L., Chin, N. A., Mattsson-Carlgren, N., Hogan, K. J., Christian, B. T., Betthauser, T. J., Hansson, O., & Johnson, S. C.
- Affiliations
- University of Wisconsin–Madison (US)
- Lund University (SE)
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University , Lund 205 02 , Sweden
- Corresponding author
- Jonaitis, Erin M
- Hansson, Oskar
- ORCID
- Venue
- Brain Communications
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-03-02
- Volume
- 5
- Issue
- 2
- Pages
- fcad057-fcad057
- ISSN
- 2632-1297 (ISSN-L)
- PMC
- PMC10066514
- OpenAlex
- W4323357232
- Cited by
- 124
- References
- 5
- Citations by year
- 2026: 36 · 2025: 47 · 2024: 32 · 2023: 9
- FWCI
- 25.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Brain Communications (publishedVersion, cc-by)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- National Institutes of Health (R01AG027161, RO1AG021155, S10 OD025245-01, UL1TR002375)
- Alzheimer’s Association Research Foundation (19614533)
- University of Wisconsin Institute for Clinical and Translational Research
- Swedish Research Council (2016-00906)
- Knut and Alice Wallenberg foundation (2017-0383)
- Marianne and Marcus Wallenberg foundation (2015.0125)
- Strategic Research Area MultiPark
- Swedish Alzheimer Foundation (AF-939932)
- Swedish Brain Foundation (FO2021-0293)
- Parkinson foundation of Sweden (1280/20)
- Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse
- Skåne University Hospital (2020-O000028)
- Regionalt Forskningsstöd (2020-0314)
- Swedish (2018-Projekt0279)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- preclinical Alzheimer's disease, phosphorylated tau217, plasma biomarkers, blood-based diagnosis, amyloid PET, tau PET, Pittsburgh compound B, [18F]MK-6240, cognitive decline prediction, Wisconsin Registry for Alzheimer's Prevention, early detection of Alzheimer's disease, biomarker concordance
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