Cited by 46Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

Longitudinal plasma phosphorylated-tau217 and other related biomarkers in a non-demented Alzheimer’s risk- enhanced sample

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Du, Lianlian, Langhough, Rebecca E., Wilson, Rachael E., Reyes, Ramiro Eduardo Rea, Hermann, Bruce P., Jonaitis, Erin M., Betthauser, Tobey J., Chin, Nathaniel A. +10 more·2024·Alzheimer's & Dementia

Abstract

INTRODUCTION: Understanding longitudinal change in key plasma biomarkers will aid in detecting presymptomatic Alzheimer's disease (AD). METHODS: Serial plasma samples from 424 Wisconsin Registry for Alzheimer's Prevention participants were analyzed for phosphorylated‐tau217 (p‐tau217; ALZpath) and other AD biomarkers, to study longitudinal trajectories in relation to disease, health factors, and cognitive decline. Of the participants, 18.6% with known amyloid status were amyloid positive (A+); 97.2% were cognitively unimpaired (CU). RESULTS: In the CU, amyloid‐negative (A–) subset, plasma p‐tau217 levels increased modestly with age but were unaffected by body mass index and kidney function. In the whole sample, average p‐tau217 change rates were higher in those who were A+ (e.g., simple slopes(se) for A+ and A– at age 60 were 0.232(0.028) and 0.038(0.013))). High baseline p‐tau217 levels predicted faster preclinical cognitive decline. DISCUSSION: p‐tau217 stands out among markers for its strong association with disease and cognitive decline, indicating its potential for early AD detection and monitoring progression. Highlights: Phosphorylated‐tau217 (p‐tau217) trajectories were significantly different in people who were known to be amyloid positive. Subtle age‐related trajectories were seen for all the plasma markers in amyloid‐negative cognitively unimpaired. Kidney function and body mass index were not associated with plasma p‐tau217 trajectories. Higher plasma p‐tau217 was associated with faster preclinical cognitive decline.

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  • In CU, amyloid-negative AD populations, correlations between plasma ptau-217 and age are typically modest or absent (correlation coefficients ranging from 0.48 to -0.02).

    “In CU, amyloid-negative AD populations, correlations between plasma ptau-217 and age are typically modest or absent (correlation coefficients ranging from 0.48 to -0.02), consistent with limited age-driven change (16,23,24).”

    From Amyloid-Independent Elevation of Plasma phosphorylated tau-217 Tracks Neurodegenerative Risk in Tuberous Sclerosis Complex: Implications for mTOR-Targeted Intervention (2026) · cites this paper as [24]

    The Discussion (Aim 1: amyloid-negative CU controls) reports a modest but significant age-related increase in plasma p-tau217, supporting limited age-driven change in this group. The Results (Aim 1) likewise report significant age terms, but give regression estimates rather than the claimed correlation-coefficient range of 0.48 to −0.02; this paper does not support describing its observed association as absent. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Plasma ptau-217 has repeatedly demonstrated strong prognostic performance and generally outperforms other plasma biomarkers in predicting conversion from MCI to dementia.

    “Plasma ptau-217 has repeatedly demonstrated strong prognostic performance and generally outperforms other plasma biomarkers in predicting conversion from MCI to dementia (20,24).”

    From Amyloid-Independent Elevation of Plasma phosphorylated tau-217 Tracks Neurodegenerative Risk in Tuberous Sclerosis Complex: Implications for mTOR-Targeted Intervention (2026) · cites this paper as [24]

    The Discussion (Aim 3; page unavailable) reports that p-tau217 had the strongest associations with cognitive decline among the plasma biomarkers studied. The Methods (Statistical analyses; page unavailable) specify that this analysis began with cognitively unimpaired participants and examined cognitive trajectories, not conversion from MCI to dementia. The paper therefore supports the broader prognostic comparison but not the claimed MCI-to-dementia outcome. (LLM, conf=0.87)

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Research works printed but not linked: 51

  1. [1]van Dyck CH, Swanson CJ, Aisen P, et al. Lecanemab in early Alzheimer's disease. N Engl J Med. 2023; 388: 9‐ 21. doi: 10.1056/NEJMoa2212948 36449413 · DOI · Paper page
  2. [2]Sims JR, Zimmer JA, Evans CD, et al. Donanemab in early symptomatic Alzheimer disease: the TRAILBLAZER‐ALZ 2 randomized clinical trial. JAMA. 2023; 330: 512‐ 527. doi: 10.1001/jama.2023.13239 37459141 PMC10352931 · DOI · Paper page
  3. [6]Karikari TK, Ashton NJ, Brinkmalm G, et al. Blood phospho‐tau in Alzheimer disease: analysis, interpretation, and clinical utility. Nat Rev Neurol. 2022; 18: 400‐ 418. doi: 10.1038/s41582-022-00665-2 35585226 · DOI
  4. [7]Teunissen CE, Verberk IMW, Thijssen EH, et al. Blood‐based biomarkers for Alzheimer's disease: towards clinical implementation. Lancet Neurol. 2022; 21: 66‐ 77. doi: 10.1016/S1474-4422(21)00361-6 34838239 · DOI · Paper page
  5. [8]Hansson O. Biomarkers for neurodegenerative diseases. Nat Med. 2021; 27: 954‐ 963. 34083813
  6. [9]Hansson O, Blennow K, Zetterberg H, Dage J. Blood biomarkers for Alzheimer's disease in clinical practice and trials. Nat Aging. 2023; 3: 506‐ 519. doi: 10.1038/s43587-023-00403-3 37202517 PMC10979350 · DOI · Paper page
  7. [11]Ashton NJ, Janelidze S, Mattsson‐Carlgren N, et al. Differential roles of Aβ42/40, p‐tau231 and p‐tau217 for Alzheimer's trial selection and disease monitoring. Nat Med. 2022; 28: 2555‐ 2562. doi: 10.1038/s41591-022-02074-w 36456833 PMC9800279 · DOI · Paper page
  8. [12]Groot C, Cicognola C, Bali D, et al. Diagnostic and prognostic performance to detect Alzheimer's disease and clinical progression of a novel assay for plasma p‐tau217. Alzheimers Res Ther. 2022; 14: 67. doi: 10.1186/s13195-022-01005-8 35568889 PMC9107269 · DOI
  9. [13]Jonaitis EM, Janelidze S, Cody KA, et al. Plasma phosphorylated tau‐217 in preclinical Alzheimer's disease. Brain Commun. 2023: fcad057. doi: 10.1093/braincomms/fcad05 37013174 PMC10066514 · DOI
  10. [14]Therriault J, Vermeiren M, Servaes S, et al. Association of phosphorylated tau biomarkers with amyloid positron emission tomography vs tau positron emission tomography. JAMA Neurol. 2023; 80: 188‐ 199. doi: 10.1001/jamaneurol.2022.4485 36508198 PMC9856704 · DOI
  11. [15]Palmqvist S, Janelidze S, Quiroz YT, et al. Discriminative accuracy of plasma phospho‐tau217 for Alzheimer disease vs other neurodegenerative disorders. JAMA. 2020; 324: 772‐ 781. doi: 10.1001/jama.2020.12134 32722745 PMC7388060 · DOI · Paper page
  12. [16]Therriault J, Ashton NJ, Pola I, et al. Comparison of two plasma P‐Tau217 assays to detect and monitor Alzheimer's pathology. Prepr Lancet. 2023. doi: 10.2139/ssrn.4572850 PMC10943661 38471397 · DOI
  13. [17]Mielke MM, Dage JL, Frank RD, et al. Performance of plasma phosphorylated tau 181 and 217 in the community. Nat Med. 2022; 28: 1398‐ 1405. doi: 10.1038/s41591-022-01822-2 35618838 PMC9329262 · DOI · Paper page
  14. [18]Benedet AL, Brum WS, Hansson O, et al. The accuracy and robustness of plasma biomarker models for amyloid PET positivity. Alzheimers Res Ther. 2022; 14: 26. doi: 10.1186/s13195-021-00942-0 35130933 PMC8819863 · DOI
  15. [19]Stevenson‐Hoare J, Heslegrave A, Leonenko G, et al. Plasma biomarkers and genetics in the diagnosis and prediction of Alzheimer's disease. Brain. 2022; 146: 690‐ 699. doi: 10.1093/brain/awac128 PMC9924904 35383826 · DOI
  16. [20]Baldacci F, Lista S, Manca ML, et al. Age and sex impact plasma NFL and t‐Tau trajectories in individuals with subjective memory complaints: a 3‐year follow‐up study. Alzheimers Res Ther. 2020; 12: 147. doi: 10.1186/s13195-020-00704-4 33183357 PMC7663867 · DOI
  17. [21]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: 3555. doi: 10.1038/s41467-021-23746-0 34117234 PMC8196018 · DOI
  18. [22]Ramanan VK, Gebre RK, Graff‐Radford J, et al. Genetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis. Brain. 2023; 146: 4508‐ 4519. doi: 10.1093/brain/awad196 37279785 PMC10629762 · DOI · Paper page
  19. [23]Pais MV, Forlenza OV, Diniz BS. Plasma biomarkers of Alzheimer's disease: a review of available assays, recent developments, and implications for clinical practice. J Alzheimers Dis Rep. 2023; 7: 355‐ 380. doi: 10.3233/ADR-230029 37220625 PMC10200198 · DOI
  20. [24]Johnson SC, Koscik RL, Jonaitis EM, et al. The Wisconsin registry for Alzheimer's prevention: a review of findings and current directions. Alzheimers Dement Amst Neth. 2018; 10: 130‐ 142. doi: 10.1016/j.dadm.2017.11.007 PMC5755749 29322089 · DOI
  21. [25]Donohue MC, Sperling RA, Petersen R, et al. Association between elevated brain amyloid and subsequent cognitive decline among cognitively normal persons. JAMA. 2017; 317: 2305‐ 2316. doi: 10.1001/jama.2017.6669 28609533 PMC5736301 · DOI · Paper page
  22. [26]Jonaitis EM, Koscik RL, Clark LR. Measuring longitudinal cognition: individual tests versus composites. Alzheimers Dement Diagn Assess Dis Monit. 2019; 11: 74‐ 84. doi: 10.1016/j.dadm.2018.11.006 PMC6816509 31673596 · DOI
  23. [27]Rey A. L'examen psychologique dans les cas d'encéphalopathie traumatique. (Les problems.). [The psychological examination in cases of traumatic encepholopathy. Problems.]. Arch Psychol. 1941; 28: 215‐ 285.
  24. [30]Clark LR, Koscik RL, Nicholas CR, et al. Mild cognitive impairment in late middle age in the wisconsin registry for Alzheimer's prevention study: prevalence and characteristics using robust and standard neuropsychological normative data. Arch Clin Neuropsychol. 2016; 31: 675‐ 688. doi: 10.1093/arclin/acw024 27193363 PMC5088607 · DOI
  25. [31]Du L, Koscik RL, Chin NA, et al. Prescription medications and co‐morbidities in late middle‐age are associated with greater cognitive declines: results from WRAP. Front Aging. 2022; 2. PMC9261362 35822000
  26. [32]Morris JC. Clinical dementia rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type. Int Psychogeriatr. 1997; 9(Suppl 1): 173‐ 176. doi: 10.1017/s1041610297004870 discussion 177‐178 9447441 · DOI · Paper page
  27. [33]Galvin JE. The quick dementia rating system (qdrs): a rapid dementia staging tool. Alzheimers Dement Amst Neth. 2015; 1: 249‐ 259. doi: 10.1016/j.dadm.2015.03.003 PMC4484882 26140284 · DOI
  28. [34]Berman SE, Koscik RL, Clark LR, et al. Use of the quick dementia rating system (QDRS) as an initial screening measure in a longitudinal cohort at risk for Alzheimer's disease. J Alzheimers Dis Rep; 1: 9‐ 13. n.d. doi: 10.3233/ADR-170004 PMC5557032 28819654 · DOI
  29. [35]Albert MS, DeKosky ST, Dickson D, et al. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement J Alzheimers Assoc. 2011; 7: 270‐ 279. doi: 10.1016/j.jalz.2011.03.008 PMC3312027 21514249 · DOI · Paper page
  30. [36]McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement J Alzheimers Assoc. 2011; 7: 263‐ 269. doi: 10.1016/j.jalz.2011.03.00 PMC3312024 21514250 · DOI
  31. [37]Langhough Koscik R, 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. doi: 10.3389/fnagi.2021.688478 34381351 PMC8350058 · DOI
  32. [38]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: 576‐ 584. doi: 10.1016/j.neurobiolaging.2013.09.028 24269021 PMC4018215 · DOI · Paper page
  33. [39]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 Off Publ Soc Nucl Med. 2019; 60: 93‐ 99. doi: 10.2967/jnumed.118.209650 PMC6354223 29777006 · DOI
  34. [40]Sprecher KE, Bendlin BB, Racine AM, et al. Amyloid burden is associated with self‐reported sleep in non‐demented late middle‐aged adults. Neurobiol Aging. 2015; 36: 2568‐ 2576. doi: 10.1016/j.neurobiolaging.2015.05.004 26059712 PMC4523445 · DOI
  35. [41]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 JAD. 2016; 54: 1395‐ 1408. doi: 10.3233/JAD-160528 27589532 PMC5074904 · DOI
  36. [42]Betthauser TJ, Bilgel M, Koscik RL, et al. Multi‐method investigation of factors influencing amyloid onset and impairment in three cohorts. Brain. 2022; 145: 4065‐ 4079. doi: 10.1093/brain/awac213 35856240 PMC9679170 · DOI
  37. [43]Landau SM, Horng A, Jagust WJ. Memory decline accompanies subthreshold amyloid accumulation. Neurology. 2018; 90: e1452‐ e1460. doi: 10.1212/WNL.0000000000005354 29572282 PMC5921038 · DOI
  38. [44]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: e619‐ e631. doi: 10.1212/WNL.0000000000011214 33199430 PMC7905788 · DOI
  39. [46]Lifke V, Kollmorgen G, Manuilova E, et al. Elecsys® Total‐Tau and Phospho‐Tau (181P) CSF assays: analytical performance of the novel, fully automated immunoassays for quantification of tau proteins in human cerebrospinal fluid. Clin Biochem. 2019; 72: 30‐ 38. doi: 10.1016/j.clinbiochem.2019.05.005 31129184 · DOI
  40. [47]Keshavan A, Wellington H, Chen Z, et al. Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: a comparison of Lumipulse and established immunoassays. Alzheimers Dement Diagn Assess Dis Monit. 2021; 13: e12131. doi: 10.1002/dad2.12131 PMC7867115 33598527 · DOI
  41. [49]Van Hulle C, Jonaitis EM, Betthauser TJ, et al. An examination of a novel multipanel of CSF biomarkers in the Alzheimer's disease clinical and pathological continuum. Alzheimers Dement. 2021; 17: 431‐ 445. doi: 10.1002/alz.12204 33336877 PMC8016695 · DOI
  42. [50]Ashton NJ, Pascoal TA, Karikari TK, et al. Plasma p‐tau231: a new biomarker for incipient Alzheimer's disease pathology. Acta Neuropathol (Berl). 2021; 141: 709‐ 724. doi: 10.1007/s00401-021-02275-6 33585983 PMC8043944 · DOI · Paper page
  43. [51]Belloy ME, Napolioni V, Greicius MD. A quarter century of APOE and Alzheimer's disease: progress to date and the path forward. Neuron. 2019; 101: 820‐ 838. doi: 10.1016/j.neuron.2019.01.056 30844401 PMC6407643 · DOI · Paper page
  44. [52]Deming Y, Vasiljevic E, Morrow A, et al. Neuropathology‐based APOE genetic risk score better quantifies Alzheimer's risk. Alzheimers Dement. 2023; 19: 3406‐ 3416. doi: 10.1002/alz.12990 36795776 PMC10427737 · DOI
  45. [53]Inker LA, Shaffi K, Levey AS. Estimating glomerular filtration rate using the chronic kidney disease‐epidemiology collaboration creatinine equation. Circ Heart Fail. 2012; 5: 303‐ 306. doi: 10.1161/CIRCHEARTFAILURE.112.968545 22589364 PMC3386522 · DOI
  46. [55]Eknoyan G, Lameire N, Eckardt K, et al. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. 2013; 3: 5‐ 14. 23989362
  47. [56]Cody KA, Koscik RL, Erickson CM, et al. Associations of the Lifestyle for Brain Health index with longitudinal cognition and brain amyloid beta in clinically unimpaired older adults: findings from the Wisconsin Registry for Alzheimer's Prevention. Alzheimers Dement Diagn Assess Dis Monit. 2022; 14: e12351. doi: 10.1002/dad2.12351 PMC9464997 36110432 · DOI
  48. [58]Mazerolle MJ, Mazerolle MMJ. Package ‘AICcmodavg.’. R Package; 2017: 281.
  49. [60]Pichet Binette A, Janelidze S, Cullen N, et al. Confounding factors of Alzheimer's disease plasma biomarkers and their impact on clinical performance. Alzheimers Dement. 2023; 19: 1403‐ 1414. doi: 10.1002/alz.12787 36152307 PMC10499000 · DOI · Paper page
  50. [61]Malek‐Ahmadi M, Su Y, Ghisays V, et al. Plasma NfL is associated with the APOE ε4 allele, brain imaging measurements of neurodegeneration, and lower recall memory scores in cognitively unimpaired late‐middle‐aged and older adults. Alzheimers Res Ther. 2023; 15: 74. doi: 10.1186/s13195-023-01221-w 37038190 PMC10084600 · DOI
  51. [64]Johansson C, Thordardottir S, Laffita‐Mesa J, et al. Plasma biomarker profiles in autosomal dominant Alzheimer's disease. Brain. 2023; 146: 1132‐ 1140. doi: 10.1093/brain/awac399 36626935 PMC9976964 · DOI

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Authors
Du, L., Langhough, R. E., Wilson, R. E., Reyes, R. E. R., Hermann, B. P., Jonaitis, E. M., Betthauser, T. J., Chin, N. A., Christian, B., Chaby, L., Jeromin, A., Molfetta, G. D., Brum, W. S., Arslan, B., Ashton, N., Blennow, K., Zetterberg, H., & Johnson, S. C.
Affiliations
  • University of Wisconsin–Madison (US)
  • ALZpath, Inc. Carlsbad California USA
  • University of Gothenburg (SE)
  • Universidade Federal do Rio Grande do Sul (BR)
  • University of Science and Technology of China (CN)
Corresponding author
Johnson, Sterling C.
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2024-07-05
Volume
20
Issue
9
Pages
6183-6204
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W4400388912
Cited by
46
References
11
Citations by year
2026: 19 · 2025: 23 · 2024: 4
FWCI
13.52
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
National Institutes of Health
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
phosphorylated tau217, plasma biomarkers
MeSH terms
Aged, Alzheimer Disease, Female, Humans, Longitudinal Studies, Male, Middle Aged, Phosphorylation, Biomarkers, tau Proteins, Disease Progression, Cognitive Dysfunction

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