Biomarker modeling of Alzheimer’s disease using PET-based Braak staging
Open accessAbstract
Gold-standard diagnosis of Alzheimer’s disease (AD) relies on histopathological staging systems. Using the topographical information from [18 F]MK6240 tau positron-emission tomography (PET), we applied the Braak tau staging system to 324 living individuals. We used PET-based Braak stage to model the trajectories of amyloid-β, phosphorylated tau (pTau) in cerebrospinal fluid (pTau 181, pTau 217, pTau 231 and pTau 235) and plasma (pTau 181 and pTau 231), neurodegeneration and cognitive symptoms. We identified nonlinear AD biomarker trajectories corresponding to the spatial extent of tau-PET, with modest biomarker changes detectable by Braak stage II and significant changes occurring at stages III–IV, followed by plateaus. Early Braak stages were associated with isolated memory impairment, whereas Braak stages V–VI were incompatible with normal cognition. In 159 individuals with follow-up tau-PET, progression beyond stage III took place uniquely in the presence of amyloid-β positivity. Our findings support PET-based Braak staging as a framework to model the natural history of AD and monitor AD severity in living humans.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Biomarkers plateau in later disease stages.
“This is especially true of biomarkers that plateau in later disease stages49.”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [49]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 72 · Cited by 308
Research works printed but not linked: 49
- [1]Gonnella JS Hornbrook MC Louis DZ Staging of disease: a case-mix measurement JAMA 1984 251 637 644 10.1001/jama.1984.03340290051021 6418903 · DOI
- [2]Jack CR Tracking pathophysiological processes in Alzheimer’s disease: an updated hypothetical model of dynamic biomarkers Lancet Neurol. 2013 12 207 216 10.1016/S1474-4422(12)70291-0 23332364 PMC3622225 · DOI · Paper page
- [3]Bateman RJ Clinical and biomarker changes in dominantly inherited Alzheimer’s disease N. Engl. J. Med. 2012 367 795 804 10.1056/NEJMoa1202753 22784036 PMC3474597 · DOI · Paper page
- [4]Villemagne VL Amyloid-β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer’s disease: a prospective cohort study Lancet Neurol. 2013 12 357 367 10.1016/S1474-4422(13)70044-9 23477989 · DOI · Paper page
- [10]Braak H Braak E Staging of alzheimer’s disease-related neurofibrillary changes Neurobiol. Aging 1995 16 271 278 10.1016/0197-4580(95)00021-6 7566337 · DOI · Paper page
- [11]Del Tredici K Braak H To stage, or not to stage Curr. Opin. Neurobiol. 2020 61 10 22 10.1016/j.conb.2019.11.008 31862625 · DOI
- [12]Hampel H Developing the ATX(N) classification for use across the Alzheimer disease continuum. Nat. Rev. Neurol. 2021 17 580 589 10.1038/s41582-021-00520-w 34239130 · DOI
- [14]Scheltens P Alzheimer’s disease Lancet 2021 397 1577 1590 10.1016/S0140-6736(20)32205-4 33667416 PMC8354300 · DOI · Paper page
- [15]Suárez‐Calvet M Novel tau biomarkers phosphorylated at T181, T217 or T231 rise in the initial stages of the preclinical Alzheimer’s continuum when only subtle changes in Aβ pathology are detected EMBO Mol. Med. 2020 12 e12921 10.15252/emmm.202012921 33169916 PMC7721364 · DOI · Paper page
- [16]Barthélemy NR A soluble phosphorylated tau signature links tau, amyloid and the evolution of stages of dominantly inherited Alzheimer’s disease Nat. Med. 2020 26 398 407 10.1038/s41591-020-0781-z 32161412 PMC7309367 · DOI · Paper page
- [17]Hansson O Biomarkers for neurodegenerative diseases Nat. Med. 2021 27 954 963 10.1038/s41591-021-01382-x 34083813 · DOI · Paper page
- [19]Petersen RC Mild cognitive impairment as a diagnostic entity J. Intern. Med. 2004 256 183 194 10.1111/j.1365-2796.2004.01388.x 15324362 · DOI · Paper page
- [20]Fortea J Clinical and biomarker changes of Alzheimer’s disease in adults with Down syndrome: a cross-sectional study Lancet 2020 395 1988 1997 10.1016/S0140-6736(20)30689-9 32593336 PMC7322523 · DOI · Paper page
- [23]Lowe, V. J. et al. Widespread brain tau and its association with ageing, Braak stage and Alzheimer’s dementia. Brain141, 271–287, 10.1093/brain/awx320 (2018). PMC5837250 29228201 · DOI
- [24]Johnson KA Tau positron emission tomographic imaging in aging and early Alzheimer disease Ann. Neurol. 2016 79 110 119 10.1002/ana.24546 26505746 PMC4738026 · DOI · Paper page
- [25]Pascoal TA 18F-MK-6240 PET for early and late detection of neurofibrillary tangles Brain 2020 143 2818 2830 10.1093/brain/awaa180 32671408 · DOI
- [28]Ossenkoppele R Discriminative accuracy of [18F]flortaucipir positron emission tomography for Alzheimer disease vs other neurodegenerative disorders JAMA 2018 320 1151 1162 10.1001/jama.2018.12917 30326496 PMC6233630 · DOI · Paper page
- [29]Tapper EB Lok AS-F Use of liver imaging and biopsy in clinical practice N. Engl. J. Med. 2017 377 756 768 10.1056/NEJMra1610570 28834467 · DOI
- [31]Rabinovici GD Association of amyloid positron emission tomography with subsequent change in clinical management among medicare beneficiaries with mild cognitive impairment or dementia JAMA 2019 321 1286 1294 10.1001/jama.2019.2000 30938796 PMC6450276 · DOI · Paper page
- [32]Jack CR Prevalence of biologically vs clinically defined Alzheimer spectrum entities using the national institute on aging-Alzheimer’s association research framework JAMA Neurol. 2019 76 1174 1183 10.1001/jamaneurol.2019.1971 31305929 PMC6632154 · DOI · Paper page
- [33]Jack CR Associations of amyloid, tau, and neurodegeneration biomarker profiles with rates of memory decline among individuals without dementia JAMA 2019 321 2316 2325 10.1001/jama.2019.7437 31211344 PMC6582267 · DOI · Paper page
- [34]Vogel JW Four distinct trajectories of tau deposition identified in Alzheimer’s disease Nat. Med. 2021 27 871 881 10.1038/s41591-021-01309-6 33927414 PMC8686688 · DOI · Paper page
- [35]Franzmeier N Patient-centered connectivity-based prediction of tau pathology spread in Alzheimer’s disease Sci. Adv. 2020 6 eabd1327 10.1126/sciadv.abd1327 33246962 PMC7695466 · DOI
- [37]Braak H Del Tredici K Spreading of tau pathology in sporadic Alzheimer’s disease along cortico-cortical top-down connections Cereb. Cortex 2018 28 3372 3384 10.1093/cercor/bhy152 29982389 PMC6095209 · DOI · Paper page
- [38]Petersen C Alzheimer’s disease clinical variants show distinct regional patterns of neurofibrillary tangle accumulation Acta Neuropathol. 2019 138 597 612 10.1007/s00401-019-02036-6 31250152 PMC7012374 · DOI
- [40]Pascoal TA Longitudinal 18F-MK-6240 tau tangles accumulation follows Braak stages Brain 2021 144 3517 3528 10.1093/brain/awab248 34515754 PMC8677534 · DOI
- [41]Soleimani-Meigooni DN 18F-flortaucipir PET to autopsy comparisons in Alzheimer’s disease and other neurodegenerative diseases Brain 2020 143 3477 3494 10.1093/brain/awaa276 33141172 PMC7719031 · DOI
- [43]Hostetler ED Preclinical characterization of 18F-MK-6240, a promising PET tracer for in vivo quantification of human neurofibrillary tangles J. Nucl. Med. 2016 57 1599 1606 10.2967/jnumed.115.171678 27230925 · DOI
- [46]Levey AI Progress with treatments for Alzheimer’s disease N. Engl. J. Med. 2021 384 1762 1763 10.1056/NEJMe2103722 33951366 · DOI
- [47]Therriault J Association of apolipoprotein e ϵ4 with medial temporal tau independent of amyloid-β JAMA Neurol. 2020 77 470 479 10.1001/jamaneurol.2019.4421 31860000 PMC6990684 · DOI · Paper page
- [48]McKhann G Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group* under the auspices of department of health and human services task force on Alzheimer’s disease Neurology 1984 34 939 939 10.1212/WNL.34.7.939 6610841 · DOI · Paper page
- [49]Gorno-Tempini ML Classification of primary progressive aphasia and its variants Neurology 2011 76 1006 1014 10.1212/WNL.0b013e31821103e6 21325651 PMC3059138 · DOI · Paper page
- [50]Crutch SJ Consensus classification of posterior cortical atrophy Alzheimer’s Dement. 2017 13 870 884 10.1016/j.jalz.2017.01.014 28259709 PMC5788455 · DOI · Paper page
- [51]Therriault J Topographical distribution of amyloid-β, tau and atrophy in behavioral/dysexecutive AD patients Neurology 2020 96 e81 e92 10.1212/WNL.0000000000011081 33093220 PMC7884976 · DOI
- [52]Pascoal TA In vivo quantification of neurofibrillary tangles with [18F]MK-6240 Alzheimers Res. Ther. 2018 10 1 14 10.1186/s13195-018-0402-y 30064520 PMC6069775 · DOI
- [53]Therriault J Determining amyloid-B positivity using 18F-AZD4694 PET imaging J. Nucl. Med. 2021 62 247 252 10.2967/jnumed.120.245209 32737243 · DOI
- [55]Diedrichsen J A probabilistic MR atlas of the human cerebellum Neuroimage 2009 46 39 46 10.1016/j.neuroimage.2009.01.045 19457380 · DOI
- [56]Jack CR Defining imaging biomarker cut points for brain aging and Alzheimer’s disease Alzheimers Dement. 2017 13 205 216 10.1016/j.jalz.2016.08.005 27697430 PMC5344738 · DOI · Paper page
- [57]Tward DJ Entorhinal and transentorhinal atrophy in mild cognitive impairment using longitudinal diffeomorphometry Alzheimers Dement. 2017 9 41 50 PMC5608074 28971142
- [58]Insausti R MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices Am. J. Neuroradiol. 1998 19 659 671 9576651 PMC8337393
- [59]Taylor KI Probst A Anatomic localization of the transentorhinal region of the perirhinal cortex Neurobiol. Aging 2008 29 1591 1596 10.1016/j.neurobiolaging.2007.03.024 17478012 · DOI
- [61]Pascoal TA Microglial activation and tau propagate jointly across Braak stages Nat. Med. 2021 27 1592 1599 10.1038/s41591-021-01456-w 34446931 · DOI · Paper page
- [63]Lantero‐Rodriguez J P‐tau235: a novel biomarker for staging preclinical Alzheimer’s disease EMBO Mol. Med. 2021 13 e15098 10.15252/emmm.202115098 34725927 PMC8649868 · DOI
- [64]Leitão MJ Clinical validation of the Lumipulse G cerebrospinal fluid assays for routine diagnosis of Alzheimer’s disease Alzheimer’s Res. Ther. 2019 11 1 12 31759396 PMC6875031
- [65]Hansson O Lehmann S Otto M Zetterberg H Lewczuk P Advantages and disadvantages of the use of the CSF amyloid β (Aβ) 42/40 ratio in the diagnosis of Alzheimer’s Disease Alzheimer’s Res. Ther. 2019 11 1 15 31010420 PMC6477717
- [66]Karikari TK 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 19 422 433 10.1016/S1474-4422(20)30071-5 32333900 · DOI · Paper page
- [67]Ashton NJ Plasma p-tau231: a new biomarker for incipient Alzheimer’s disease pathology Acta Neuropathol. 2021 141 709 724 10.1007/s00401-021-02275-6 33585983 PMC8043944 · DOI · Paper page
- [68]Benedet AL Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer’s disease Brain 2020 143 3793 3804 10.1093/brain/awaa342 33210117 PMC7805809 · DOI
- [69]Dunnett CW A multiple comparison procedure for comparing several treatments with a control J. Am. Stat. Assoc. 1955 272 1096 1121 10.1080/01621459.1955.10501294 · DOI
- Authors
- Therriault, J., Pascoal, T. A., Lussier, F. Z., Tissot, C., Chamoun, M., Bezgin, G., Servaes, S., Benedet, A. L., Ashton, N. J., Karikari, T. K., Lantero-Rodriguez, J., Kunach, P., Wang, Y.-T., Fernandez-Arias, J., Massarweh, G., Vitali, P., Soucy, J.-P., Saha-Chaudhuri, P., Blennow, K., Zetterberg, H., Gauthier, S., & Rosa-Neto, P.
- Affiliations
- Douglas Mental Health University Institute (CA)
- University of Pittsburgh (US)
- King's College London (GB)
- McGill University (CA)
- Sahlgrenska University Hospital (SE)
- Corresponding author
- Therriault, Joseph
- ORCID
- Therriault, Joseph
- Pascoal, Tharick A.
- Lussier, Firoza Z.
- Tissot, Cécile
- Chamoun, Mira
- Bezgin, Gleb
- Servaes, Stijn
- Ashton, Nicholas J.
- Karikari, Thomas K.
- Lantero-Rodriguez, Juan
- Kunach, Peter
- Massarweh, Gassan
- Vitali, Paolo
- Soucy, Jean-Paul
- Saha-Chaudhuri, Paramita
- Blennow, Kaj
- Zetterberg, Henrik
- Gauthier, Serge
- Rosa-Neto, Pedro
- Venue
- Nature Aging
- Published
- 2022-04-25
- Volume
- 2
- Issue
- 6
- Pages
- 526-535
- ISSN
- 2662-8465 (ISSN-L)
- PMC
- PMC10154209
- OpenAlex
- W4224620999
- Cited by
- 308
- References
- 72
- Citations by year
- 2026: 79 · 2025: 81 · 2024: 81 · 2023: 49 · 2022: 18
- FWCI
- 37.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Aging (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Gouvernement du Canada | Canadian Institutes of Health Research (#170846)
- 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 › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- Alzheimer's disease, Braak staging, tau PET, [18F]MK-6240, phosphorylated tau, amyloid-beta, cerebrospinal fluid biomarkers, plasma tau, neurodegeneration, cognitive decline, memory impairment, disease progression, natural history (disease), biomarker trajectories
- MeSH terms
- Alzheimer Disease, Humans, Biomarkers, Amyloid beta-Peptides, Positron-Emission Tomography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review