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Therriault J, Pascoal TA, Lussier FZ, Tissot C, Chamoun M, Bezgin G, Servaes S, Benedet AL, Ashton NJ, Karikari TK, Lantero-Rodriguez J, Kunach P, Wang YT, Fernandez-Arias J, Massarweh G, Vitali P, Soucy JP, Saha-Chaudhuri P, Blennow K, Zetterberg H, Gauthier S, Rosa-Neto P. Biomarker modeling of Alzheimer's disease using PET-based Braak staging. Nat Aging. 2022 Jun;2(6):526-535. Epub 2022 Apr 25 PubMed. Nature Aging
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Washington University
Therriault and colleagues assessed biomarkers in 324 individuals who were cognitively normal or had mild cognitive impairment at baseline and longitudinally. They were assessed clinically, cognitively, and for several biomarkers including with amyloid imaging, tau imaging, CSF, and plasma. Using the tau imaging agent MK6240, which allows for high resolution, accurate imaging of tau fibril pathology, they classified individuals into different Braak stages (I-IV).
Based on staging in this way, early Braak stages, e.g., stage 2, was associated with normal cognitive status or isolated memory impairment, usually CDR 0; stages III and IV with either normal cognition or mild cognitive impairment/very mild dementia (CDR 0.5); stages V and VI with very mild to higher degrees of dementia (CDR 0.5 to 2).
While amyloid deposition may or may not have been present in individuals up to stage III, it was always present in those with Braak stage IV or higher, emphasizing the idea that amyloid pathology drives progression of tau pathology. The authors concluded that PET-based Braak staging serves as a framework to model the natural history of AD and monitor AD severity in living humans.
I think this was a very well done study and agree with the authors’ major conclusion. Other studies have made similar observations but have not all done this with a tau imaging agent such as MK6240 that allows for very accurate determination of Braak staging.
The authors found a strong correlation with several CSF and plasma p-tau markers with Braak staging. However, they make the important point in the discussion that whether increases in soluble forms of p-tau are linked to the degree of amyloid deposition vs. the amount of tau pathology cannot be concluded from this study. For example, there are also strong correlations with the amount of amyloid deposition and CSF and plasma p-tau levels.
It seems likely from other data that soluble species of p-tau are mostly related to the amount of amyloid deposition and not the amount of tau tangles/insoluble tau. In that vein, it would have been interesting in this dataset to look at the relationship between a quantitative measure of MK6240 binding in individuals with Braak stages 0-III who were amyloid-positive or amyloid-negative. Then, in those who were amyloid-positive or amyloid-negative, is there is any relationship between the amount of p-tau species and MK6240 binding? If p-tau relates to the amount of tau pathology, one would expect the same correlation in both groups. If the correlation was much less in the amyloid-negative group, this would suggest that the relationship is driven by amyloid deposition and not tau pathology.
Overall, however, this is a very strong dataset and provides a nice framework to assess the overall progression of amyloid related changes, soluble tau changes, fibrillar tau changes and their relationships to clinical and cognitive status that should be useful in design of clinical trials, assessing treatments, and in relating previous pathological studies to the in vivo situation in living people.
View all comments by David HoltzmanStanford University School of Medicine
Stanford University School of Medicine
This very nice study by Therriault and colleagues focuses on biomarker and cognitive changes associated with tau PET-defined Braak staging. Using a second-generation tau PET tracer with less off-target binding in choroid plexus, the authors show that increasing PET-based Braak staging is associated with increasing amyloid, increasing CSF and plasma p-tau, reductions in hippocampal volume, and cognitive decline, providing novel in vivo evidence of Braak staging with MK6240.
While the present study highlights the potential for tau PET to be used in tracking AD progression as defined by staging procedures originating from postmortem work, tau PET also offers an excellent opportunity to provide insight into the spatial patterns of tau throughout the course of disease. Therriault and colleagues highlight the exciting potential to capture focal, early tau within the EC, which has also been demonstrated by Sanchez and colleagues using flortaucipir (Sanchez et al., 2021).
Expanding beyond the medial temporal lobe, the authors include 11 brain regions across frontal, temporal, parietal, and occipital lobes in their definition of Braak V and four brain regions (i.e., paracentral, postcentral, precentral, pericalcarine) in their definition of Braak VI. These definitions mirror postmortem assessments, which typically sample hippocampus, entorhinal cortex (EC), middle frontal gyrus, superior and middle temporal gyri, inferior parietal lobule, and occipital cortex (Hyman et al., 2012) to determine Braak V (defined as the presence of neurofibrillary tangles in high order association areas in frontal, parietal, occipital, and peristriate regions) and Braak VI (involvement of motor and sensory areas) staging (Braak and Braak, 1995).
The broad approach employed by Therriault and colleagues is also consistent with other recent tau PET work that has quantified tau PET SUVRs across a large cortical meta-region of interest, and with most qualitative reading scales that incorporate a cortical positive/negative dimension, with some additionally classifying the medial temporal lobe (MTL) as positive/negative (Koran et al., 2020; Sonni et al., 2020). Taken together, these studies highlight the ability to capture a progression that is consistent with Braak staging in vivo (focal EC tau, greater MTL tau, then eventually some cortical involvement), and confirm that progression along this staging framework is associated with worse clinical function.
Although tau PET imaging is limited by poor resolution and specificity, a key advantage of PET over postmortem analysis is the ability to survey the entire brain. In postmortem examination only a small set of regions are sampled, and this sampling is oftentimes only in one hemisphere (Hyman et al., 2012). Given this key difference, it is interesting that many tau PET studies have elected to summarize their data according to sparse sampling protocols used by postmortem research. Although this approach has the advantage of being hypothesis-driven and is clearly useful in distilling the data into relatively few labels (such as MTL tau positive/negative and cortical tau positive/negative as done in qualitative reads of tau PET), we are potentially overlooking spatial information that may be clinically important and may inform disease mechanisms.
Indeed, data-driven subtyping efforts have demonstrated heterogeneity in tau spatial patterns across the AD spectrum (Franzmeier et al., 2020; Vogel et al., 2021; Young et al., 2018; Young et al., 2022). Along these lines, Therriault and colleagues demonstrated that 7-11 percent of the atypical AD participants (behavioral/dysexecutive, logopenic PPA, PCA) included in their study were Braak-stage discordant, usually because there was cortical signal in the absence of elevated MTL signal. Additionally, the tau PET images of Braak-discordant cases shown in Extended Data Figure 2 demonstrate asymmetrical (in behavioral/dysexecutive AD and logopenic PPA) and precuneus-dominant (in PCA) tau patterns that are similar to the subtypes described by previous efforts (Vogel et al., 2021; Young et al., 2022).
Other work has suggested no difference in MTL uptake in atypical AD, though cortical patterns of tau elevations are clearly different in atypical presentations compared to typical AD (La Joie et al., 2021; Ossenkoppele et al., 2016; Petersen et al., 2019). These different trajectories (MTL-first pathways as well as variability in cortical patterns of spread both with and without MTL involvement) are intriguing and warrant further investigation regarding their time-course, underlying mechanisms, and clinical relevance. Overall, the full brain coverage provided by tau PET will allow us to go beyond Braak staging and characterize the different sources of tau heterogeneity.
References:
Braak H, Braak E. Staging of Alzheimer's disease-related neurofibrillary changes. Neurobiol Aging. 1995 May-Jun;16(3):271-8; discussion 278-84. PubMed.
Franzmeier N, Dewenter A, Frontzkowski L, Dichgans M, Rubinski A, Neitzel J, Smith R, Strandberg O, Ossenkoppele R, Buerger K, Duering M, Hansson O, Ewers M. Patient-centered connectivity-based prediction of tau pathology spread in Alzheimer's disease. Sci Adv. 2020 Nov;6(48) Print 2020 Nov PubMed.
Hyman BT, Phelps CH, Beach TG, Bigio EH, Cairns NJ, Carrillo MC, Dickson DW, Duyckaerts C, Frosch MP, Masliah E, Mirra SS, Nelson PT, Schneider JA, Thal DR, Thies B, Trojanowski JQ, Vinters HV, Montine TJ. National Institute on Aging-Alzheimer's Association guidelines for the neuropathologic assessment of Alzheimer's disease. Alzheimers Dement. 2012 Jan;8(1):1-13. PubMed.
Koran ME, Shams S, Adams P, Toueg T, Azevedo C, Hall J, Corso N, Sha S, Fredericks C, Greicius M, Wagner A, Zaharchuk G, Davidzon G, Chin F, Mormino E. Visual Read Protocols for Clinicians Analyzing 18F-PI-2620 tau PET/MRI Images. . Journal of Nuclear Medicine, May 1, 2020 Journal of Nuclear Medicine
La Joie R, Visani AV, Lesman-Segev OH, Baker SL, Edwards L, Iaccarino L, Soleimani-Meigooni DN, Mellinger T, Janabi M, Miller ZA, Perry DC, Pham J, Strom A, Gorno-Tempini ML, Rosen HJ, Miller BL, Jagust WJ, Rabinovici GD. Association of APOE4 and Clinical Variability in Alzheimer Disease With the Pattern of Tau- and Amyloid-PET. Neurology. 2021 Feb 2;96(5):e650-e661. Epub 2020 Dec 1 PubMed.
Ossenkoppele R, Schonhaut DR, Schöll M, Lockhart SN, Ayakta N, Baker SL, O'Neil JP, Janabi M, Lazaris A, Cantwell A, Vogel J, Santos M, Miller ZA, Bettcher BM, Vossel KA, Kramer JH, Gorno-Tempini ML, Miller BL, Jagust WJ, Rabinovici GD. Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease. Brain. 2016 May;139(Pt 5):1551-67. Epub 2016 Mar 8 PubMed.
Petersen C, Nolan AL, de Paula França Resende E, Miller Z, Ehrenberg AJ, Gorno-Tempini ML, Rosen HJ, Kramer JH, Spina S, Rabinovici GD, Miller BL, Seeley WW, Heinsen H, Grinberg LT. Alzheimer's disease clinical variants show distinct regional patterns of neurofibrillary tangle accumulation. Acta Neuropathol. 2019 Oct;138(4):597-612. Epub 2019 Jun 27 PubMed.
Sanchez JS, Becker JA, Jacobs HI, Hanseeuw BJ, Jiang S, Schultz AP, Properzi MJ, Katz SR, Beiser A, Satizabal CL, O'Donnell A, DeCarli C, Killiany R, El Fakhri G, Normandin MD, Gómez-Isla T, Quiroz YT, Rentz DM, Sperling RA, Seshadri S, Augustinack J, Price JC, Johnson KA. The cortical origin and initial spread of medial temporal tauopathy in Alzheimer's disease assessed with positron emission tomography. Sci Transl Med. 2021 Jan 20;13(577) PubMed.
Sonni I, Lesman Segev OH, Baker SL, Iaccarino L, Korman D, Rabinovici GD, Jagust WJ, Landau SM, La Joie R, Alzheimer's Disease Neuroimaging Initiative. Evaluation of a visual interpretation method for tau-PET with 18F-flortaucipir. Alzheimers Dement (Amst). 2020;12(1):e12133. Epub 2020 Nov 28 PubMed.
Vogel JW, Young AL, Oxtoby NP, Smith R, Ossenkoppele R, Strandberg OT, La Joie R, Aksman LM, Grothe MJ, Iturria-Medina Y, Alzheimer’s Disease Neuroimaging Initiative, Pontecorvo MJ, Devous MD, Rabinovici GD, Alexander DC, Lyoo CH, Evans AC, Hansson O. Four distinct trajectories of tau deposition identified in Alzheimer's disease. Nat Med. 2021 May;27(5):871-881. Epub 2021 Apr 29 PubMed.
Young AL, Marinescu RV, Oxtoby NP, Bocchetta M, Yong K, Firth NC, Cash DM, Thomas DL, Dick KM, Cardoso J, van Swieten J, Borroni B, Galimberti D, Masellis M, Tartaglia MC, Rowe JB, Graff C, Tagliavini F, Frisoni GB, Laforce R Jr, Finger E, de Mendonça A, Sorbi S, Warren JD, Crutch S, Fox NC, Ourselin S, Schott JM, Rohrer JD, Alexander DC, Genetic FTD Initiative (GENFI), Alzheimer’s Disease Neuroimaging Initiative (ADNI). Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference. Nat Commun. 2018 Oct 15;9(1):4273. PubMed.
Young CB, Winer JR, Younes K, Cody KA, Betthauser TJ, Johnson SC, Schultz A, Sperling RA, Greicius MD, Cobos I, Poston KL, Mormino EC, Alzheimer’s Disease Neuroimaging Initiative and the Harvard Aging Brain Study. Divergent Cortical Tau Positron Emission Tomography Patterns Among Patients With Preclinical Alzheimer Disease. JAMA Neurol. 2022 Jun 1;79(6):592-603. PubMed.
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