Association of plasma P-tau181 with memory decline in non-demented adults
Open accessAbstract
Alzheimer’s disease is the leading cause of dementia worldwide and is characterized by a long preclinical phase in which amyloid-β and tau accumulate in the absence of cognitive decline. In vivo biomarkers for Alzheimer’s disease are expensive, invasive and inaccessible, yet are critical for accurate disease diagnosis and patient management. Recent ultrasensitive methods to measure plasma phosphorylated tau 181 (p-tau181) display strong correlations with tau positron emission tomography, p-tau181 in CSF, and tau pathology at autopsy. The clinical utility of plasma-based p-tau181 biomarkers is unclear. In a longitudinal multicentre observational study, we assessed 1113 non-demented individuals (509 cognitively unimpaired elderly and 604 individuals with mild cognitive impairment) from the Alzheimer’s Disease Neuroimaging Initiative who underwent neuropsychological assessments and were evaluated for plasma p-tau181. The primary outcome was a memory composite z-score. Mixed-effect models assessed rates of memory decline in relation to baseline plasma p-tau181, and whether plasma p-tau181 significantly predicted memory decline beyond widely available clinical and genetic data (age, sex, years of education, cardiovascular and metabolic conditions, and APOEε4 status). Participants were followed for a median of 4.1 years. Baseline plasma p-tau181 was associated with lower baseline memory (β estimate: −0.49, standard error: 0.06, t-value: −7.97), as well as faster rates of memory decline (β estimate: −0.11, standard error: 0.01, t-value: −7.37). Moreover, the inclusion of plasma p-tau181 resulted in improved prediction of memory decline beyond clinical and genetic data (marginal R2 of 16.7–23%, χ2 = 100.81, P < 0.00001). Elevated baseline plasma p-tau181 was associated with higher rates of clinical progression to mild cognitive impairment (hazard ratio = 1.82, 95% confidence interval: 1.2–2.8) and from mild cognitive impairment to dementia (hazard ratio = 2.06, 95% confidence interval: 1.55–2.74). Our results suggest that in elderly individuals without dementia at baseline, plasma p-tau181 biomarkers were associated with greater memory decline and rates of clinical progression to dementia. Plasma p-tau181 improved prediction of memory decline above a model with currently available clinical and genetic data. While the clinical importance of this improvement in the prediction of memory decline is unknown, these results highlight the potential of plasma p-tau181 as a cost-effective and scalable Alzheimer’s disease biomarker.
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Blood measures of p-tau181, p-tau217, p-tau231, GFAP, NfL and Aβ42/40 have been shown to change in preclinical AD and can discriminate this state from CU individuals with non-AD pathological changes.
“Indeed, blood measures of p-tau181, p-tau217, p-tau231, glial fibrillary acid protein (GFAP), neurofilament light (NfL) and Aβ42/40 have been shown to change in preclinical AD and can discriminate this state from CU individuals with non-AD pathological changes1,3,6–13.”
From Plasma p-tau231 and p-tau217 as state markers of amyloid-β pathology in preclinical Alzheimer’s disease (2022) · cites this paper as [10]
The Discussion (page not specified in our copy) describes plasma p-tau181 as specific for Alzheimer’s disease tau pathology and notes that it becomes abnormal after amyloid-β does. That supports the p-tau181 portion, but the paper does not show that the full listed panel discriminates preclinical AD from cognitively unimpaired people with non-AD pathological changes; it discusses several other markers only as potential additions or in references. (LLM, conf=0.85)
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1 retracted
Dementia prevention, intervention, and care: 2020 report of the Lancet Commission
Livingston, G., Huntley, J., Sommerlad, A., Ames, D., Ballard, C., Banerjee, S., Brayne, C., Burns, A., Cohen-Mansfield, J., Cooper, C., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30367-6 · Cited by 10,430 · cited 1× · see citing works
“These seven cardiovascular and metabolic conditions were hypertension, hyperlipidaemia, cardiac arrhythmias, coronary artery disease, congestive heart failure, diabetes and stroke,(13) many of which have been identified as contributors to dementia incidence.(14,15) This cardiovascular and metabolic condition score was…”
MethodRetractedNIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Self-citationDementia prevention, intervention, and care
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31363-6 · Cited by 6,072 · see citing works
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814 · see citing works
Mixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992 · see citing works
Hansson, O., Zetterberg, H., Buchhave, P., Londos, E., Blennow, K., & Minthon, L. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70355-6 · Cited by 1,700 · see citing works
Self-citationHigh 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
Palmqvist, S., Janelidze, S., Quiroz, Y. T., Zetterberg, H., Lopera, F., Stomrud, E., Su, Y., Chen, Y., Serrano, G. E., Leuzy, A., et al. (2020) · JAMA · doi:10.1001/jama.2020.12134 · Cited by 1,603 · see citing works
Self-citationThe characterisation of subjective cognitive decline
Jessen, F., Amariglio, R. E., Buckley, R. F., van der Flier, W. M., Han, Y., Molinuevo, J. L., Rabin, L., Rentz, D. M., Rodriguez-Gomez, O., Saykin, A. J., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30368-0 · Cited by 1,389 · see citing works
Karikari, T. K., Pascoal, T. A., Ashton, N. J., Janelidze, S., Benedet, A. L., Rodriguez, J. L., Chamoun, M., Savard, M., Kang, M. S., Therriault, J., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30071-5 · Cited by 1,316 · see citing works
Self-citationJanelidze, S., Mattsson, N., Palmqvist, S., Smith, R., Beach, T. G., Serrano, G. E., Chai, X., Proctor, N. K., Eichenlaub, U., Zetterberg, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0755-1 · Cited by 1,247 · see citing works
Self-citationBeach, T. G., Monsell, S. E., Phillips, L. E., & Kukull, W. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31824b211b · Cited by 1,103 · see citing works
Trial of Solanezumab for Mild Dementia Due to Alzheimer’s Disease
Honig, L. S., Vellas, B., Woodward, M., Boada, M., Bullock, R., Borrie, M., Hager, K., Andreasen, N., Scarpini, E., Liu-Seifert, H., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1705971 · Cited by 1,049 · see citing works
Mixed-Effects Models in S and S-PLUS
(2000) · Statistics and Computing · doi:10.1007/b98882 · Cited by 930 · see citing works
Fagan, A. M., Roe, C. M., Xiong, C., Mintun, M. A., Morris, J. C., & Holtzman, D. M. (2007) · Archives of Neurology · doi:10.1001/archneur.64.3.noc60123 · Cited by 897 · see citing works
Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) investigators, Thijssen, E. H., La Joie, R., Wolf, A., Strom, A., Wang, P., Iaccarino, L., Bourakova, V., Cobigo, Y., Heuer, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0762-2 · Cited by 761 · see citing works
Self-citationThe A4 Study: Stopping AD Before Symptoms Begin?
Sperling, R. A., Rentz, D. M., Johnson, K. A., Karlawish, J. H., Donohue, M., Salmon, D. P., & Aisen, P. S. S. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007941 · Cited by 756 · see citing works
Plasma p-tau231: a new biomarker for incipient Alzheimer’s disease pathology.
Ashton, N. J., Pascoal, T. A., Karikari, T. K., Benedet, A. L., Lantero-Rodriguez, J., Brinkmalm, G., Snellman, A., Schöll, M., Troakes, C., Hye, A., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02275-6 · Cited by 719 · see citing works
Self-citationRandomized trial of verubecestat for mild-to-moderate Alzheimer's disease
Egan, M. F., Kost, J., Tariot, P. N., Aisen, P. S., Cummings, J. L., Vellas, B., Sur, C., Mukai, Y., Voss, T., Furtek, C., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1706441 · Cited by 685 · see citing works
Rabinovici, G. D., Gatsonis, C., Apgar, C., Chaudhary, K., Gareen, I., Hanna, L., Hendrix, J., Hillner, B. E., Olson, C., Lesman-Segev, O. H., et al. (2019) · JAMA · doi:10.1001/jama.2019.2000 · Cited by 674 · see citing works
Kratz (2004) · doi:10.1056/nejmcpc049016 · Cited by 593 · see citing works
Randomized trial of verubecestat for prodromal Alzheimer's disease
Egan, M. F., Kost, J., Voss, T., Mukai, Y., Aisen, P. S., Cummings, J. L., Tariot, P. N., Vellas, B., van Dyck, C. H., Boada, M., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1812840 · Cited by 545 · see citing works
Longitudinal Modeling of Age-Related Memory Decline and the<i>APOE</i>ε4 Effect
Caselli, R. J., Dueck, A. C., Osborne, D., Sabbagh, M. N., Connor, D. J., Ahern, G. L., Baxter, L. C., Rapcsak, S. Z., Shi, J., Woodruff, B. K., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0809437 · Cited by 528 · see citing works
Ossenkoppele, R., Rabinovici, G. D., Smith, R., Cho, H., Schöll, M., Strandberg, O., Palmqvist, S., Mattsson, N., Janelidze, S., Santillo, A., et al. (2018) · JAMA · doi:10.1001/jama.2018.12917 · Cited by 472 · see citing works
Longitudinal plasma p-tau217 is increased in early stages of Alzheimer’s disease
Mattsson-Carlgren, N., Janelidze, S., Palmqvist, S., Cullen, N., Svenningsson, A. L., Strandberg, O., Mengel, D., Walsh, D. M., Stomrud, E., Dage, J. L., et al. (2020) · Brain · doi:10.1093/brain/awaa286 · Cited by 368 · see citing works
Assessment of Racial Disparities in Biomarkers for Alzheimer Disease
Morris, J. C., Schindler, S. E., McCue, L. M., Moulder, K. L., Benzinger, T. L. S., Cruchaga, C., Fagan, A. M., Grant, E., Gordon, B. A., Holtzman, D. M., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2018.4249 · Cited by 366 · see citing works
Karikari, T. K., Benedet, A. L., Ashton, N. J., Lantero‐Rodriguez, J., Snellman, A., Suárez‐Calvet, M., Saha‐Chaudhuri, P., Lussier, F. Z., Kvartsberg, H., Moscoso, A., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00923-z · Cited by 348 · see citing works
Self-citationJack, C. R., Wiste, H. J., Therneau, T. M., Weigand, S. D., Knopman, D. S., Mielke, M. M., Lowe, V. J., Vemuri, P., Machulda, M. M., Schwarz, C. G., et al. (2019) · JAMA · doi:10.1001/jama.2019.7437 · Cited by 324 · see citing works
Moscoso, A., Grothe, M. J., Ashton, N. J., Karikari, T. K., Lantero‐Rodriguez, J., Snellman, A., Suárez‐Calvet, M., Blennow, K., Zetterberg, H., Schöll, M., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2020.4986 · Cited by 310 · see citing works
Self-citation18F-MK-6240 PET for early and late detection of neurofibrillary tangles
Pascoal, T. A., Therriault, J., Benedet, A. L., Savard, M., Lussier, F. Z., Chamoun, M., Tissot, C., Qureshi, M. N. I., Kang, M. S., Mathotaarachchi, S. S., et al. (2020) · Brain · doi:10.1093/brain/awaa180 · Cited by 257 · see citing works
Self-citationPrevalence of Multimorbidity in a Geographically Defined American Population
Rocca, W. A., Boyd, C. M., Grossardt, B. R., Bobo, W. V., Rutten, L. J. F., Roger, V. L., Ebbert, J. O., Therneau, T. M., Yawn, B. P., & Sauver, J. L. S. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2014.07.010 · Cited by 245 · see citing works
Time course of phosphorylated-tau181 in blood across the Alzheimer’s disease spectrum
Moscoso, A., Grothe, M. J., Ashton, N. J., Karikari, T. K., Rodriguez, J. L., Snellman, A., Suárez-Calvet, M., Zetterberg, H., Blennow, K., Schöll, M., et al. (2021) · Brain · doi:10.1093/brain/awaa399 · Cited by 229 · see citing works
Self-citationCombined neuropathological pathways account for age‐related risk of dementia
Power, M. C., Mormino, E. C., Soldan, A., James, B. D., Yu, L., Armstrong, N. M., Bangen, K. J., Delano‐Wood, L., Lamar, M., Lim, Y. Y., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25246 · Cited by 215 · see citing works
Cullen, N. C., Leuzy, A., Palmqvist, S., Janelidze, S., Stomrud, E., Pesini, P., Sarasa, L., Allué, J. A., Proctor, N. K., Zetterberg, H., et al. (2020) · Nature Aging · doi:10.1038/s43587-020-00003-5 · Cited by 187 · see citing works
Self-citationAge, vascular health, and Alzheimer disease biomarkers in an elderly sample
Vemuri, P., Lesnick, T. G., Przybelski, S. A., Knopman, D. S., Lowe, V. J., Graff‐Radford, J., Roberts, R. O., Mielke, M. M., Machulda, M. M., Petersen, R. C., et al. (2017) · Annals of Neurology · doi:10.1002/ana.25071 · Cited by 183 · see citing works
Benedet, A. L., Leuzy, A., Pascoal, T. A., Ashton, N. J., Mathotaarachchi, S. S., Savard, M., Therriault, J., Kang, M. S., Chamoun, M., Schöll, M., et al. (2020) · Brain · doi:10.1093/brain/awaa342 · Cited by 122 · see citing works
Self-citationO’Connor, A., Karikari, T. K., Poole, T., Ashton, N. J., Lantero Rodriguez, J., Khatun, A., Swift, I., Heslegrave, A. J., Abel, E., Chung, E., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-0838-x · Cited by 122 · see citing works
Self-citationBilateral Oophorectomy and Accelerated Aging: Cause or Effect?
Rocca, W. A., Rocca, L. G., Smith, C. Y., Grossardt, B. R., Faubion, S. S., Shuster, L. T., Kirkland, J. L., Stewart, E. A., & Miller, V. M. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx026 · Cited by 87 · see citing works
Challenges associated with biomarker‐based classification systems for Alzheimer's disease
Illán‐Gala, I., Pegueroles, J., Montal, V., Vilaplana, E., Carmona‐Iragui, M., Alcolea, D., Dickerson, B. C., Sánchez‐Valle, R., de Leon, M. J., Blesa, R., et al. (2018) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.03.004 · Cited by 62 · see citing works
Self-citationPlasma phosphorylated tau181 and neurodegeneration in Alzheimer’s disease
Hansson, O., Cullen, N. C., Zetterberg, H., Initiative, T. A. D. N., Blennow, K., & Mattsson, N. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51253 · Cited by 35 · see citing works
Self-citationBasal ganglia and cerebellar output influences non-motor function.
Middleton, F. A., & Strick, P. L. (1996) · PubMed · Cited by 34 · see citing works
The transformative potential of plasma phosphorylated tau
Jack, C. R. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30112-5 · Cited by 12 · see citing works
Gauthier, S. G., Therriault, J., Pascoal, T. A., & Rosa‐Neto, P. (2020) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2020.1841637 · Cited by 7 · see citing works
Self-citationNormal Laboratory Reference Values
Chhabra, N., & Chhabra, S. (2016) · Jaypee Brothers Medical Publishers (P) Ltd. eBooks · doi:10.5005/jp/books/12856_5 · Cited by 3 · see citing works
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1 of the 46 references couldn’t be matched to a known paper.
Cited by
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Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup
Jack, C. R., Andrews, J. S., Beach, T. G., Buracchio, T., Dunn, B., Graf, A., Hansson, O., Ho, C., Jagust, W., McDade, E., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13859 · Cited by 2,803 · see citing works
Milà-Alomà, M., Ashton, N. J., Shekari, M., Salvadó, G., Ortiz-Romero, P., Montoliu-Gaya, L., Benedet, A. L., Karikari, T. K., Lantero-Rodriguez, J., Vanmechelen, E., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01925-w · Cited by 353 · see citing works
Self-citationBlood‐based biomarkers for Alzheimer's disease
Leuzy, A., Mattsson, N., Palmqvist, S., Janelidze, S., Dage, J. L., & Hansson, O. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202114408 · Cited by 352 · see citing works
Biomarker-based staging of Alzheimer disease: rationale and clinical applications
Therriault, J., Schindler, S. E., Salvadó, G., Pascoal, T. A., Benedet, A. L., Ashton, N. J., Karikari, T. K., Apostolova, L. G., Murray, M. E., Verberk, I. M. W., et al. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00942-2 · Cited by 206 · see citing works
Self-citationEquivalence of plasma p‐tau217 with cerebrospinal fluid in the diagnosis of Alzheimer's disease
Therriault, J., Servaes, S., Tissot, C., Rahmouni, N., Ashton, N. J., Benedet, A. L., Karikari, T. K., Macedo, A. C., Lussier, F. Z., Stevenson, J., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13026 · Cited by 172 · see citing works
Self-citationPredicting amyloid PET and tau PET stages with plasma biomarkers
Jack, C. R., Wiste, H. J., Algeciras‐Schimnich, A., Figdore, D. J., Schwarz, C. G., Lowe, V. J., Ramanan, V. K., Vemuri, P., Mielke, M. M., Knopman, D. S., et al. (2023) · Brain · doi:10.1093/brain/awad042 · Cited by 149 · see citing works
Veitch, D. P., Weiner, M. W., Miller, M., Aisen, P. S., Ashford, M. A., Beckett, L. A., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13449 · Cited by 113 · see citing works
Diagnostic value of serum versus plasma phospho-tau for Alzheimer’s disease
Kac, P. R., Gonzalez-Ortiz, F., Simrén, J., Dewit, N., Vanmechelen, E., Zetterberg, H., Blennow, K., Ashton, N. J., & Karikari, T. K. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01011-w · Cited by 73 · see citing works
Self-citationKivisäkk, P., Sweeney, T., Carlyle, B. C., Trombetta, B. A., LaCasse, K., El‐Mufti, L. H., Tuncali, I., Chibnik, L. B., Das, S., Scherzer, C. R., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1069411 · Cited by 73 · see citing works
Developments in scalable strategies for detecting early markers of cognitive decline
Whelan, R., Barbey, F. M., Cominetti, M. R., Gillan, C. M., & Rosická, A. M. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02237-w · Cited by 63 · see citing works
Performance of a fully-automated Lumipulse plasma phospho-tau181 assay for Alzheimer’s disease
Wilson, E. N., Young, C. B., Benitez, J. A. R., Swarovski, M. S., Feinstein, I., Vandijck, M. L. J., Guen, Y. L., Kasireddy, N. M., Shahid, M., Corso, N. K., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01116-2 · Cited by 52 · see citing works
Jack, C. R., Wiste, H. J., Algeciras‐Schimnich, A., Weigand, S. D., Figdore, D. J., Lowe, V. J., Vemuri, P., Graff‐Radford, J., Ramanan, V. K., Knopman, D. S., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13651 · Cited by 43 · see citing works
Longitudinal associations of serum biomarkers with early cognitive, amyloid and grey matter changes
Meyer, S. D., Blujdea, E. R., Schaeverbeke, J. M., Reinartz, M., Luckett, E. S., Adamczuk, K., Laere, K. V., Dupont, P. J., Teunissen, C. E., Vandenberghe, R. R., et al. (2023) · Brain · doi:10.1093/brain/awad330 · Cited by 41 · see citing works
Arias, J. F., Brum, W. S., Salvadó, G., Therriault, J., Servaes, S., Wang, Y., Aumont, É., Rahmouni, N., Macedo, A. C., Quispialaya, K. M., et al. (2025) · Brain · doi:10.1093/brain/awaf033 · Cited by 40 · see citing works
Self-citationHirota, Y., Sakakibara, Y., Ibaraki, K., Takei, K., Iijima, K., & Sekiya, M. (2022) · Brain Communications · doi:10.1093/braincomms/fcac286 · Cited by 39 · see citing works
McGrath, E. R., Beiser, A., O’Donnell, A., Yang, Q., Ghosh, S., Gonzales, M. M., Himali, J. J., Satizábal, C. L., Johnson, K. A., Tracy, R. P., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215639 · Cited by 34 · see citing works
“Plasma p-tau181 has been associated with global A (cid:2) and tau burden on PET as well as cognitive decline and AD dementia in a number of recent studies [1–9].”
Predictive blood biomarkers and brain changes associated with age-related cognitive decline
Saunders, T. S., Pozzolo, F. E., Heslegrave, A., King, D., McGeachan, R. I., Spires-Jones, M. P., Harris, S. E., Ritchie, C. W., Terrera, G. M., Deary, I. J., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad113 · Cited by 29 · see citing works
“18,22 Much of the existing literature, however, failed to find a significant association between plasma p-tau181 and cognitive decline in sub-group analyses of cognitively unimpaired individuals alone.”
Self-citationPilotto, A., Parigi, M., Bonzi, G., Battaglio, B., Ferrari, E., Mensi, L., Benussi, A., Caratozzolo, S., Cosseddu, M., Turrone, R., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215646 · Cited by 28 · see citing works
Self-citationXiao, Z., Wu, W., Ma, X., Liang, X., Lu, J., Zheng, L., Ding, S., Lei, Q., Luo, J., Chen, K., et al. (2022) · Clinical Chemistry · doi:10.1093/clinchem/hvac149 · Cited by 28 · see citing works
Li, Z.-R., Fan, Z.-X., & Zhang, Q. (2024) · Journal of Alzheimer's Disease · doi:10.3233/jad-230799 · Cited by 21 · see citing works
“Six eligible studies compared the plasma p-tau 181 levels between 474 MCI and 361 AD patients [21, 34, 49, 50, 54, 55], and 7 studies compared the plasma p-tau 181 levels between 1,078 MCI patients and 1,305 NC subjects [21, 34, 47, 49, 50, 54, 55].”
Zhang, Y., Ferreira, P. C. L., Jacobsen, E. P., Bellaver, B., Pascoal, T. A., Snitz, B. E., Chang, C. H., Villemagne, V. L., Ganguli, M., & Karikari, T. K. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13829 · Cited by 25 · see citing works
“22,25,29,32,54,55 Ofnote,Tertile-3p-tau181wasassociatedwithfastermemorydecline, consistent with its role as an ADRD biomarker.”
BackgroundSelf-citationTwo-Year Prognostic Utility of Plasma p217+tau across the Alzheimer's Continuum
Feizpour, A., Doré, V., Doecke, J. D., Saad, Z. S., Triana‐Baltzer, G., Slemmon, R., Maruff, P. T., Krishnadas, N., Bourgeat, P., Huang, K., et al. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.83 · Cited by 21 · see citing works
“Therriault et al. (30) also reported a much lower β estimate of -0.01 for the association between baseline plasma p-tau181 status using Simoa® and longitudinal decline in memory in CU participants while the association between the same variables in the MCI group gave a β estimate of -0.12.”
ResultInfluentialDifferential roles of Alzheimer's disease plasma biomarkers in stepwise biomarker‐guided diagnostics
Jang, H., Shin, D., Yoo, H., Zetterberg, H., Blennow, K., González‐Ortiz, F., Ashton, N. J., Day, T. A., Lee, E. H., Yun, J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14526 · Cited by 26 · see citing works
“27,28 38 Finally, the biomarkers predicting prognosis may vary by cognitive stage and causes of CI.”
Self-citationPresent and Future of Blood-Based Biomarkers of Alzheimer’s Disease: Beyond the Classics
Grigoli, M. M., Pelegrini, L. N. D. C., Whelan, R., & Cominetti, M. R. (2024) · Brain Research · doi:10.1016/j.brainres.2024.148812 · Cited by 23 · see citing works
Prognostic and Predictive Factors in Early Alzheimer’s Disease: A Systematic Review
Garcia, M. J., Leadley, R. M., Ross, J., Bozeat, S., Redhead, G., Hansson, O., Iwatsubo, T., Villain, N., & Cummings, J. L. (2024) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230045 · Cited by 53 · see citing works
Grasset, L., Bouteloup, V., Cacciamani, F., Pellegrin, I., Planche, V., Chêne, G., Dufouil, C., & for the MEMENTO study group (2024) · Neurology · doi:10.1212/wnl.0000000000209307 · Cited by 23 · see citing works
González‐Escalante, A., Milà‐Alomà, M., Brum, W. S., Ashton, N. J., Ortiz-Romero, P. L., Shekari, M., del Campo, M., Anastasi, F., Quijano‐Rubio, C., Kollmorgen, G., et al. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105741 · Cited by 24 · see citing works
Self-citationHuang, Y., Li, Y., Xie, F., & Guo, Q. (2022) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13962 · Cited by 19 · see citing works
Lombardi, G., Pancani, S., Manca, R., Mitolo, M., Baiardi, S., Massa, F., Coppola, L., Franzese, M., Nicolai, E., Guerini, F. R., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312916 · Cited by 18 · see citing works
“References [84–86]”
Medial temporal tau predicts memory decline in cognitively unimpaired elderly
Kwan, A. T. H., Arfaie, S., Therriault, J., Azizi, Z., Lussier, F. Z., Tissot, C., Chamoun, M., Bezgin, G., Servaes, S., Stevenon, J., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac325 · Cited by 15 · see citing works
“tecting biological Alzheimer’s disease in vivo and during the preclinical phase.(8)”
BackgroundSelf-citationQuispialaya, K. M., Therriault, J., Aliaga, A., Tissot, C., Servaes, S., Rahmouni, N., Karikari, T. K., Benedet, A. L., Ashton, N. J., Macedo, A. C., et al. (2024) · European Journal of Neurology · doi:10.1111/ene.16255 · Cited by 12 · see citing works
Self-citationPlasma p-tau181 associated with structural changes in mild cognitive impairment
Nabizadeh, F., Balabandian, M., Rostami, M. R., Ward, R. T., Ahmadi, N., Pourhamzeh, M., & Initiative, A. D. N. (2022) · Aging Clinical and Experimental Research · doi:10.1007/s40520-022-02148-2 · Cited by 9 · see citing works
Zhang, S., Wang, F., Xie, L., Xu, J., Song, X., Tao, J., Chen, J., Ma, D., Yu, X., Shi, X., et al. (2024) · Journal of Diabetes Investigation · doi:10.1111/jdi.14306 · Cited by 7 · see citing works
Borelli, W. V., Ferreira, P. C. L., Brum, W. S., Ferrari‐Souza, J. P., Carello‐Collar, G., Holz, M. R., Souza, V. T., Strelow, M. Z., Formoso, C., Chaves, M. L. F., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03192-w · Cited by 8 · see citing works
Self-citationReal‐world performance of plasma p‐tau181 in a heterogeneous memory clinic cohort
Parvizi, T., Wurm, R., König, T., Silvaieh, S., Altmann, P., Klotz, S., Regelsberger, G., Traub‐Weidinger, T., Gelpí, E., & Stögmann, E. (2024) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.52116 · Cited by 5 · see citing works
“49 – 51 Due to the fact, that the addition of APOE4 to plasma p-tau181 in our ROC analyses did not show a significant advantage compared with plasma p-tau181 and age, we constructed a model based on plasma p-tau181 levels, MMSE and age to calculate the probability of having an abnormal cerebral…”
MethodWang, S., Ke, S., Liu, S., Wang, E., & Pan, T. (2023) · Neuroscience Letters · doi:10.1016/j.neulet.2023.137052 · Cited by 5 · see citing works
Bolton, C. J., Steinbach, M., Khan, O. A., Liu, D., O’Malley, J., Dumitrescu, L. C., Peterson, A. J., Jefferson, A. L., Hohman, T. J., Zetterberg, H., et al. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70047 · Cited by 4 · see citing works
Self-citationPais, M. V., Kuo, C., Ances, B. M., Wetherell, J. L., Lenze, E. J., & Diniz, B. S. (2023) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12487 · Cited by 4 · see citing works
Li, J., Wu, C., Liu, Q., Liu, M., Liu, T., Li, A., Fu, G., Zou, Z., Guo, D., Chen, K., et al. (2025) · iScience · doi:10.1016/j.isci.2025.113168 · Cited by 3 · see citing works
“57,58 In summary, we hypothesize that pathological changes in AD first manifest in peripheral systems, subsequently progressing to the central nervous system, leading to brain pathology and cognitive decline.”
Contingency of Plasma Dementia Biomarkers on Cognitive Profiles for Prognosis of Incident Dementia
Knopman, D. S., Pike, J. R., Griswold, M., Lu, Y., Gross, A. L., Mosley, T. H., Windham, B. G., Albert, M., Walker, K. A., Gottesman, R. F., et al. (2026) · Neurology · doi:10.1212/wnl.0000000000214779 · Cited by 2 · see citing works
Cai, Y., Fu, P., & Zhang, X. (2023) · Neuroscience Letters · doi:10.1016/j.neulet.2023.137161 · Cited by 2 · see citing works
“Consistent with previous literature, plasma p-tau181 correlates with β -amyloid pathology and is a promising biomarker for clinical diagnosis [4,27 – 29].”
Applications of Alzheimer’s disease staging to clinical trials
Therriault, J., Gauthier, S. G., & Rosa‐Neto, P. (2023) · Aging · doi:10.18632/aging.204482 · Cited by 2 · see citing works
Self-citationPotential utility of plasma p-tau and NfL as surrogate biomarkers for preventive clinical trialsPreprint
Ferreira, P. C. L., Ferrari‐Souza, J. P., Tissot, C., Bellaver, B., Leffa, D. T., Lussier, F. Z., Povala, G., Therriault, J., Benedet, A. L., Ashton, N. J., et al. (2022) · medRxiv · doi:10.1101/2022.08.17.22278853 · Cited by 1 · see citing works
Self-citationDiagnostic performance of Alzheimer’s disease blood biomarkers in a Brazilian cohortPreprint
Borelli, W. V., Ferreira, P. C. L., Brum, W. S., Ferrari‐Souza, J. P., Carello‐Collar, G., Holz, M. R., Souza, V. T., Strelow, M. Z., Formoso, C., Chaves, M. L. F., et al. (2025) · medRxiv · doi:10.1101/2025.02.23.24319116 · Cited by 1 · see citing works
Self-citationSaunders, T. S., Heslegrave, A., King, D., Harris, S. E., Ritchie, C. W., Terrera, G. M., Deary, I. J., Cox, S. R., Zetterberg, H., & Spires‐Jones, T. L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.24.469836
“Both CSF and plasma p-tau181 concentrations are elevated in AD relative to controls [12] and have been found to correlate with global cognitive function in those with mild cognitive impairment (MCI) [13].”
MethodSelf-citationWang, S., Initiative, A. D. N., Liu, S., Ke, S., Zhou, W., & Pan, T. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230437 · Cited by 1 · see citing works
Zhang, S., Shi, X., Zheng, S., Liang, X., Wang, F., Xu, W., Yu, X., & Yang, Y. (2025) · Journal of Diabetes Research · doi:10.1155/jdr/8029913
Kelleher-Andersson, J. A., Yoon, E., Green, C., McFarlane, C., Bagheri, D., Thomas, L. P., & Turner, R. S. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01837-0
“Recent clinical findings concluded that differences in baseline levels of p-tau 181 in elderly subjects (> 70 years of age) was associated with memory deficit [14].”
Stringhi, R., Pelucchi, S., D’Andrea, L., Greca, F. L., Zianni, E., Targa, L., Mosconi, C., Vandermeulen, L., Ascagni, M., Speciani, M. C., et al. (2025) · Molecular Therapy · doi:10.1016/j.ymthe.2025.12.023
Wilson, E. N., Young, C. B., Benitez, J. A. R., Swarovski, M. S., Feinstein, I., Vandijck, M. L. J., Guen, Y. L., Kasireddy, N. M., Shahid, M., Corso, N. K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21547387
Wilson, E. N., Young, C. B., Benitez, J. A. R., Swarovski, M. S., Feinstein, I., Vandijck, M. L. J., Guen, Y. L., Kasireddy, N. M., Shahid, M., Corso, N. K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21547393
Wilson, E. N., Young, C. B., Benitez, J. A. R., Swarovski, M. S., Feinstein, I., Vandijck, M. L. J., Guen, Y. L., Kasireddy, N. M., Shahid, M., Corso, N. K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21547396
Wilson, E. N., Young, C. B., Benitez, J. A. R., Swarovski, M. S., Feinstein, I., Vandijck, M. L. J., Guen, Y. L., Kasireddy, N. M., Shahid, M., Corso, N. K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21547390
Wilson, E. N., Young, C. B., Benitez, J. A. R., Swarovski, M. S., Feinstein, I., Vandijck, M. L. J., Guen, Y. L., Kasireddy, N. M., Shahid, M., Corso, N. K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21547384
Circulating pTau181 and Genomic Background in Dogs: A Pilot Study on Neurobiological Aging
Gazzano, V., Fabbri, M. C., Capsoni, S., Cantile, C., Tinacci, L., Gazzano, A., Curadi, M. C., & Cecchi, F. (2026) · Veterinary Medicine International · doi:10.1155/vmi/7159552
Comparative analyses of Alzheimer's disease blood biomarkers and cognitive domains
O’Shea, D. M., & Galvin, J. E. (2026) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70471
“18,20,35”
- Authors
- Therriault, J., Benedet, A. L., Pascoal, T. A., Lussier, F. Z., Tissot, C., Karikari, T. K., Ashton, N. J., Chamoun, M., Bezgin, G., Mathotaarachchi, S., Gauthier, S., Saha-Chaudhuri, P., Zetterberg, H., Blennow, K., Rosa-Neto, P., & Initiative, F. T. A. D. N.
- Affiliations
- McGill University (CA)
- Translational Neuroimaging Laboratory, McGill University, Montreal, Canada
- Sahlgrenska University Hospital (SE)
- King's College London (GB)
- Department of Epidemiology and Biostatistics, McGill University, Montreal, Canada
- ORCID
- Venue
- Brain Communications
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-06-14
- Volume
- 3
- Issue
- 3
- Pages
- fcab136-fcab136
- ISSN
- 2632-1297 (ISSN-L)
- PMC
- PMC8249102
- OpenAlex
- W3166886117
- Cited by
- 56
- References
- 46
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 13 · 2023: 12 · 2022: 17 · 2021: 2
- FWCI
- 7.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Brain Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Canadian Institutes of Health Research (MOP-11–51-3)
- Alzheimer’s Association (NIRG-12–92090, NIRP-12–259245)
- Fonds de Recherche du Québec–Santé (2020-VICO-279314)
- Weston Brain Foundation
- Swedish Research Council (#2018–02532, #2017–00915)
- European Research Council (#681712)
- Swedish State Support for Clinical Research (#ALFGBG-720931)
- Alzheimer Drug Discovery Foundation (ADDF), USA (#201809–2016862, #RDAPB-201809–2016615)
- UK Dementia Research Institute
- Swedish Alzheimer Foundation (#AF-742881)
- Hjärnfonden, Sweden (#FO2017-0243)
- Swedish government and the County Councils, the ALF-agreement (#ALFGBG-715986)
- European Union Joint Program for Neurodegenerative Disorders (JPND2019-466–236)
- 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
- p-tau181, Alzheimer's disease, memory decline, mild cognitive impairment, dementia progression, plasma biomarkers, preclinical Alzheimer's disease, APOE ε4, cognitive aging, Alzheimer's Disease Neuroimaging Initiative, tau pathology, amyloid-beta deposition
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