Abstract
Recent mechanistic and structural studies have challenged the classical tauopathy classification approach and revealed the complexity and heterogeneity of tau pathology in Alzheimer’s disease (AD) and primary tauopathies such as corticobasal degeneration (CBD) and progressive supranuclear palsy (PSP), progressing beyond distinct tau isoforms. In this multi-tau tracer study, we focused on the new second-generation tau PET tracers PI2620, MK6240 and RO948 to investigate this tau complexity in AD, CBD, and PSP brains using post-mortem radioligand binding studies and autoradiography of large and small frozen brain sections. Saturation binding studies indicated multiple binding sites for 3H-PI2620 in AD, CBD and PSP brains with different binding affinities (Kd ranging from 0.2 to 0.7 nM) and binding site densities (following the order: BmaxAD > BmaxCBD > BmaxPSP). Competitive binding studies complemented these findings, demonstrating the presence of two binding sites [super-high affinity (SHA): IC50(1) = 8.1 pM; and high affinity (HA): IC50(2) = 4.9 nM] in AD brains. Regional binding distribution studies showed that 3H-PI2620 could discriminate between AD (n = 6) and control cases (n = 9), especially in frontal cortex and temporal cortex tissue (p < 0.001) as well as in the hippocampal region (p = 0.02). 3H-PI2620, 3H-MK6240 and 3H-RO948 displayed similar binding behaviour in AD brains (in both homogenate competitive studies and one large frozen hemispherical brain section autoradiography studies) in terms of binding affinities, number of sites and regional patterns. Our small section autoradiography studies in the frontal cortex of CBD (n = 3) and PSP brains (n = 2) showed high specificity for 3H-PI2620 but not for 3H-MK6240 or 3H-RO948. Our findings clearly demonstrate different binding properties among the second-generation tau PET tracers, which may assist in further understanding of tau heterogeneity in AD versus non-AD tauopathies and suggests potential for development of pure selective 4R tau PET tracers.
Similar content being viewed by others
Introduction
Several neurodegenerative disorders are characterised as proteinopathies. Tauopathy is a broad term, neuropathologically classified by the type of tau isoforms present in the pathology/neurofibrillary tangles (NFTs). Tau isoforms have varying numbers of carboxy-terminal repeat domains (for example 3R or 4R) [1]. In this context, Alzheimer’s disease (AD) is associated with an abnormal accumulation of both 3R and 4R forms [2], frontotemporal dementia (FTD) has three subtypes (3R, 4R or 3R/4R) [3], and progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) are mainly characterised by the 4R form [4]. Morphologically, these isoforms constitute NFTs, whose composition can also vary at the ultrastructure level depending on the pathology: AD (paired helical filaments » straight filaments), PSP and CBD (Straight filaments » twisted filaments) [5]. The wide variability of tau protein has been clearly highlighted by recent cryo-electron microscopy (cryo-EM) studies demonstrating not only distinct tau isoforms but also distinctive folds in the tau fibrils [6, 7]. Hence, the 3R and 4R designation alone seems insufficient for discriminating among the related pathologies, and an additional hierarchical classification based on the layered organisation of the fibrils has been proposed. The tauopathies are characterised by differences in the regional spread of tau in the brain, expressed by different clinical phenotypes [8].
The recent rapid development of molecular imaging with positron emission tomography (PET) has led to in vivo PET imaging of tau in brain tissue using different tau PET tracers. The first generation of tau PET tracers, which include 18F-AV-1451 (flortaucipir), 18F-THK5317, and 11C-PBB3, has been followed by a second generation: 18F-MK6240, 18F-PI2620, 18F-RO948, 18F-PM-PBB3 (18F-APN-1607), 18F-GTP1, and 18F-JNJ31 [8]. Clarification of the clinical impact of these tau PET tracers, i.e. whether they will be able to discriminate between the tauopathies early in the course of the disease and not only at autopsy, is crucial. In vivo PET studies have indicated that 18F-MK6240 [9], 18F-PI2620 [10] and 18F-RO948 [11] can be used to discriminate between AD patients and healthy controls. Moreover, 18F-RO948 was able to detect early cognitive changes in AD patients more efficiently than magnetic resonance imaging [12]. In line with this, 18F-MK6240 could also detect lower tau levels, essential for early detection [13] and both 18F-MK6240 [14] and 18F-PI2620 have potential to distinguish between early and late Braak stages in AD continuum [15].
In addition, 18F-PI2620 PET studies have shown significantly increased binding to CBD and PSP brains compared to age-matched controls, but with a different regional pattern from that in AD brains [16, 17]. In contrast, a few PET studies have reported no binding of 18F-MK6240 and 18F-RO948 to non-AD dementia brain tissue [18]. In vitro binding studies in autopsy brain tissue can provide a deeper understanding of the properties of the second-generation tau PET tracers; several in vitro binding studies have been published, mainly using autoradiography methods often combined with AT8 immunostaining [16, 19,20,21,22,23]. A few in vitro binding studies in AD brain homogenates have suggested a high-affinity (HA) binding site for MK6240 (0.15-0.32 nM) [21], PI2620 (8.5 nM) [20] and RO948 (18 nM) [24]. A deeper characterisation of the binding properties of 3H-MK6240 in AD brain tissue revealed two binding sites for MK6240 in the hippocampus: a super-high affinity (SHA) site (1 pM; 58%) and a HA site (12 nM; 42%) [21]. There seem to be some discrepancies between in vivo and in vitro PET tracer data in the literature. In vivo PET studies with 18F-AV-1451 have demonstrated binding in PSP patients [25, 26] while other studies [27] reported no in vitro binding with 18F-AV-1451 using autoradiography in post-mortem PSP brain tissue. It was observed no in vitro binding of 3H-MK6240, 3H-PI2620 and 3H-RO948 using autoradiography in PSP frontal cortex (FC) [23], while binding with 3H-PI2620 has been reported in PSP cases [16, 22] and in CBD cases [17]. A recent comparative study performed in post-mortem human brain tissue reported that these three tau tracers bound specifically to paired helical filaments of tau, and were able to distinguish between AD and non-AD tauopathies [23], while 18F-AV-1451 does not show any specificity for 4R-tauopathies in post-mortem autoradiography [27].
We have also recently used in silico modelling based on known cryo-EM tau fibril structures to demonstrate that different tau PET tracers can show different preferences for and binding affinities to multiple binding sites on the tau fibrils in AD compared to CBD and PSP tissue [28,29,30,31].
This background suggests that the neuropathological differences between AD, PSP and CBD arising from the structural complexity of tau folds and isoforms remain unresolved and warrant further exploration. Early tau detection with the help of recently developed tau tracers could be a decisive diagnostic tool if the binding behaviour of these tracers is properly characterised for the different tauopathies. Hence, we decided to further explore the different binding properties/mechanisms of the second-generation tau PET tracers in AD versus in primary tauopathies such as PSP and CBD using in vitro radioligand binding in brain homogenates as well as large and small frozen brain section autoradiography, with the idea that this could also discriminate AD from other neurodegenerative diseases.
Materials and methods
Chemicals
3H-MK6240 [specific activity (SA) 45.77 Ci/mmol] was provided by Merck Sharp and Dohme Corp. (Whitehouse Station, USA). 3H-PI2620 (SA 43.6 Ci/mmol) was gifted by Life Science Molecular Imaging (Germany) as well as custom synthesised by Novandi (Södertälje, Sweden). 3H-R0948 (SA 31.0 Ci/mmol) was custom synthesised by Novandia (Södertälje, Sweden). Unlabelled MK6240 was provided by Cerveau. Unlabelled PI2620 was custom synthesised by Novandi (Södertälje, Sweden) and unlabelled R0948 was custom synthesised by F.Hoffmann-LaRoche Ltd (Basel, Switzerland). All other chemicals [tris base, disodium phosphate (Na2HPO4), potassium dihydrogen phosphate (KH2PO4), bovine serum albumin (BSA) and protease/phosphatase inhibitors] were purchased from Sigma-Aldrich AB (Sweden).
Autopsy material
Frozen human brain tissue from eleven AD, five CBD, four PSP and eight control patients was provided by the Netherlands Brain Bank (Amsterdam, Netherlands). Frozen human brain tissue from PSP case number 26 was provided by Professor Bernadino Ghetti, the Neuropathology of Dementia Laboratory, Indiana University School of Medicine (Indianapolis, IN, USA) (see Table 1 for demographic data). Brain homogenates were prepared by homogenising the brain tissue in phosphate buffer saline (PBS; pH 7.4) containing 0.1% BSA (250 mg tissue/mL) and protease/phosphatase inhibitors (10 μL/mL); aliquots were stored at −80 °C until used in the binding experiments.
Large frozen brain blocks from one 79-year-old female patient with sporadic AD were provided by the Brain Bank at Karolinska Institutet (Stockholm, Sweden). The AD patient had been clinically followed by AN at the Memory clinic, Karolinska University Hospital, (Stockholm, Sweden) and the clinical and pathological data have been described previously [32] (Table 1).
Brain sectioning
Large frozen brain blocks were dipped into Carboxymethyl cellulose gel and sectioned as decribed in Gillberg et al, 1986 [33]. Hemispherical brain sections (100 μm thick) were cut using a cryomacrotome (Leica CM3600 XP). A thin paper on an adhesive tape was placed on the large frozen hemispherical brain section and the latter was transferred as quickly as possible onto a glass plate.
Small frozen sections (20 μm thick) were cut using a cryostat (Microm HM500M, Cellab) from a small fresh tissue block of frontal cortex.
Saturation binding assays
Saturation binding assays were performed in two AD, two PSP and two CBD FC brain homogenates (0.5 mg tissue) using a 3H-PI2620 concentration range of 0.05 nM to 10 nM and incubation for 2 hours at room temperature (RT) with PBS and 0.1% BSA. Non-specific (NSP) binding was determined using 1μM of unlabelled PI2620. The assay was terminated as described previously [21, 32, 34, 35]. 3H-PI2620 binding was measured one day later in a scintillation counter (PerkinElmer Tri-Carb 2910TR). The dissociation constant (Kd) and maximum number of binding sites (Bmax) were analysed using GraphPad Prism 9 software and a non-linear regression model. The Scatchard plots were prepared using GraphPad Prism 9 software. For AD and CBD data, the second binding site was drawn manually considering all the data points, including one point from the initial linear curve of the Scatchard plots.
Competitive binding assays
Competitive binding assays on four AD FC brain homogenates [two early-onset (EO) AD and two late-onset (LO) AD; 0.5 mg tissue] were performed using 0.6 nM of 3H-PI2620 and increasing concentrations (1 × 10−18 M to 1 × 10−6 M) of unlabelled PI2620, unlabelled MK6240 and unlabelled RO948 for 2 h at RT. The binding assay was accomplished as described above. The half-maximal inhibitory concentration (IC50) was measured using the 2-site competition model in GraphPad Prism 9 software.
Competitive binding assays were also carried out under the same conditions, on three PSP FC homogenates and three CBD FC homogenates using 0.6 nM and 1 nM of 3H-PI2620, respectively, in the presence of increasing concentrations of unlabelled PI2620 (1 × 10−18 M to 1 × 10−6 M). The 2-site competition model in GraphPad Prism 9 software was used to plot the AD, CBD, and PSP data.
3H-PI2620 brain regional binding studies
Regional distribution studies with 3H-PI2620 (0.6 nM) were performed on homogenates from different regions of AD and control brains [FC (eight AD; nine controls); temporal cortex (TC) (nine AD; nine controls); parietal cortex (PC) (six AD; nine controls); hippocampus (seven AD; nine controls); and cerebellum (six AD; six controls)] in the presence of 1μM unlabelled PI2620 to determine NSP binding. The final steps of the experiment were carried out as described above. The AD group was then divided in Early-Onset of AD (EOAD), Late-Onset of AD (LOAD) groups. Each data point representing one case (three experiments in triplicate for each case). The data were analysed using GraphPad Prism 9 software.
Large frozen adjacent hemispherical brain section autoradiography
Large frozen adjacent hemispherical coronal brain sections from AD case A (100 μm thick) were exposed to 3H-MK6240 (1 nM), 3H-PI2620 (0.3 nM) or 3H-RO948 (1 nM) in PBS, 0.1% BSA and 2% DMSO buffer for 1 hour at RT. The NSP binding was determined with 1μM of unlabelled MK6240, unlabelled PI2620 or unlabelled RO948, respectively. The experiments were carried out as described in previous studies [21, 32, 34, 35]. The plates were scanned with a BAS-2500 phospho-imager and the images were analysed using multigauge software. For semi-quantitative analyses, the regions of interest (ROIs) were drawn manually using multigauge software. The phosphostimulated luminescence (PSL)/mm2 data were transformed into fmol/mg, considering the SA of each tracer.
Small PSP and CBD section autoradiography
Autoradiography on small frozen FC sections (20 μm thick) from three CBD and two PSP cases, using 1 nM of 3H-PI2620, 3H-MK6240 or 3H-RO948, was carried out using the same protocol as above. The NSP binding was determined with 1μM of unlabelled PI2620, unlabelled MK6240 or unlabelled RO948, respectively.
Immunostaining on small frozen sections
Immunostaining was performed on adjacent frozen CBD and PSP brain sections, as used for the autoradiography studies. The sections were peroxidase-blocked for 5 min and protein-blocked using 5% non-fat dried milk powder at RT. The sections were exposed overnight at 4 °C to primary antibodies raised in mouse to target 3R + 4R tau (AT8; 1:1000 Cat.#MN1020, Invitrogen). Exposure to secondary antibody envision mouse HRP (Cat.#K4001 DAKO, Agilent Technologies) lasted 30 min at RT. The reaction was visualised by developing the sections in Peroxidase-blocking solution (Dako REAL). Between the different steps the sections were thoroughly washed in Tris Buffered Saline 1X + 0.05% Tween20 (TBST). Finally, the sections were dehydrated and mounted in cytosealXYL. All sections were treated simultaneously under the same conditions.
Statistical analysis
The regional binding differences for 3H-PI2620 in EOAD, LOAD and control patients were statistically analysed using two-way ANOVA (with Sidak´s multiple comparison test) analysis in GraphPad Prism 9 software. An ANOVA p < 0.05 was considered significant. The data are presented as means of three experiments in triplicate with scatter dot plots.
Results
3H-PI2620 saturation studies in AD, CBD and PSP brains
The saturation binding study results for 3H-PI2620 in AD, PSP and CBD FC brain homogenates and the corresponding Scatchard plots are shown in Fig. 1A and Fig. 1B, respectively. For the AD tissue, saturation occurred at a Kd2 of 0.7 nM and Bmax2 of 69 fmol/mg. A second binding site was observed when the Scatchard plot was manually drawn (Kd1 = 0.2 nM; and Bmax1 = 30 fmol/mg). For the CBD tissue, saturation occurred at a Kd2 of 1.2 nM and Bmax2 of 32 fmol/mg. The Scatchard plot revealed a second binding site (Kd1 = 0.1 nM; and Bmax1 = 8.0 fmol/mg). For PSP tissue, the saturation curve displayed one binding site with a Kd of 0.3 nM and Bmax of 12 fmol/mg. The total, NSP and specific binding results for 3H-PI2620 are shown in Fig. 1C. For the AD tissue, total binding increased with increasing 3H-PI2620 concentrations and NSP binding increased linearly, while specific binding increased up to a concentration of 2 nM where it reached a plateau. The total binding for the CBD tissue was similar to that for the PSP tissue, but NSP binding was much higher in PSP tissue than in CBD tissue.
3H-PI2620 comparative competitive studies with unlabelled MK6240 and RO948 in AD brains
We further analysed the binding behaviour of 3H-PI2620 in AD brains by comparing its binding properties to those of MK6240 and RO948 in the same AD tissue. Competitive binding studies were carried out in the FC with 3H-PI2620, using increasing concentrations of unlabelled MK6240 or RO948 in the same tissue. The results are shown in Fig. 2A. MK6240 competed with 3H-PI2620 for two binding sites (IC50(1) = 2.7 pM; and IC50(2) = 4.5 nM) and RO948 competed with 3H-PI2620 for two binding sites (IC50(1) = 5.8 pM; and IC50(2) = 6.8 nM), compared with unlabelled PI2620 versus 3H-PI2620 (IC50(1) = 8.1 pM; and IC50(2) = 4.9 nM). Thus, unlabelled MK6240, RO948 and PI2620 demonstrated comparable binding affinities for two binding sites with similar proportions binding to the SHA (>20%) and HA (>70%) binding sites.
3H-PI2620 competitive binding studies in AD, CBD and PSP brain tissue
To further characterise the binding properties of 3H-PI2620 in PSP and CBD compared to AD FC brain tissue, competitive studies using increasing concentrations of unlabelled PI2620 versus 3H-PI2620 were carried out in CBD and PSP brain tissue. The results are shown in Fig. 2B. In CBD tissue, PI2620 competed in affinity for two binding sites (IC50(1) = 5.6 pM; and IC50(2) = 7.7 nM). These were in the same range as those reported above for AD tissue (IC50(1) = 8.1 pM; and IC50(2) = 4.9 nM). In PSP tissue, unlabelled PI2620 competed for only one binding site, in the nanomolar range (IC50 = 2.5 nM), which was comparable to the HA IC50(2) for CBD and AD in FC tissue. When the proportions of SHA and HA binding sites were calculated, AD FC tissue expressed 23 % SHA and 77 % HA, while CBD expressed 46% SHA and 54 % HA sites. For PSP only one HA site was detected.
3H-PI2620, 3H-MK6240 and 3H-RO948 autoradiography on large frozen adjacent hemispherical brain sections from a patient with sporadic AD
3H-PI2620, 3H-MK6240 and 3H-RO948 autoradiography results from large frozen adjacent hemispherical brain sections from a 79-year-old female patient with sporadic LOAD (AD case A; Table 1, Fig. 3A) are shown in Fig. 3. Initial visual/qualitative assessment of the total binding of 3H-PI2620 (Fig. 3B), 3H-MK6240 (Fig. 3C), and 3H-RO948 (Fig. 3D) revealed similar binding patterns for all three tau tracers in the frontal and temporal lobes with a clear laminar binding pattern for all three tracers. The highest binding intensity was found in the deeper (5 and 6) and superficial (1, 2 and 3) cortical layers while there was a lower binding in layer 4 of the cortex. For all three tracers, the binding became more intense in the superficial layers of the associative regions of the neocortex. The cortical NSP binding (visually) was low for all three tracers.
3H-PI2620, 3H-MK6240 and 3H-RO948 autoradiography binding comparison in different layers of distinct cortical regions on large frozen adjacent hemispherical brain sections from a patient with sporadic AD
In cingulate gyrus, where the layer 4 of the cortex is absent, all three tau tracers bound strongly throughout all layers (Fig. 4; top panel). Similar qualitative/visual assessment in the entorhinal cortex (EC), showed high binding of 3H-MK6240 and 3H-RO948 in all layers; with a specifically stronger binding in the deep layers (Fig.4; lower panel, small double arrows). The 3H-PI2620 binding was less intense and more diffuse in all EC layers (Fig. 4; lower panel). Moreover, using 3H-PI2620, the discrimination between binding in superficial (small single arrow) and deep layers (double single arrows) was very subtle/non-existent compared to 3H-MK6240 and 3H-RO948 binding, where a clear distinction was observed between superficial and deep layers (Fig. 4; lower panel). Similarly, in the hippocampal (HIPP) CA1 region (double arrowhead), 3H-PI2620 demonstrated qualitatively less binding than 3H-MK6240 and 3H-RO948 (Fig. 4; lower panel).
3H-PI2620 regional distribution in EOAD, LOAD and control brains
The regional binding of 3H-PI2620 was analysed in five regions (FC, PC, TC, hippocampus and cerebellum) of brains from AD patients with EOAD or LOAD and controls. The results are presented in Fig. 5a, b in the FC and TC. 3H-PI2620 showed significantly higher specific binding in FC and TC (p < 0.001) as well as in hippocampus (p = 0.02) of AD brains compared to control brains (Fig. 5a).3H-PI2620 showed significantly higher specific binding in the FC (p < 0.001), PC and TC (p < 0.01) of EOAD brains than in LOAD brains. 3H-PI2620 binding was significantly higher in all cortical regions (p < 0.001) and in the hippocampus (p < 0.01) of EOAD brains than in control brains. Binding was significantly higher in LOAD brains than in controls in the FC (p = 0.02) and TC (p < 0.01) (Fig. 5b). No significant differences in 3H-PI2620 binding in the cerebellum were observed between AD and control brains.
3H-PI2620, 3H-MK6240 and 3H-RO948 comparative autoradiography in CBD and PSP brains
The 3H-PI2620, 3H-MK6240 and 3H-RO948 autoradiography results from small frozen FC sections from the brains of three CBD and two PSP patients are shown in Fig. 6. Visual assessment of the results for the CBD and PSP tissue demonstrated that 3H-PI2620 binding was significantly more intense for total than for NSP binding. For 3H-RO948, some differences were observed between total and NSP binding but to a much lower extent than for 3H-PI2620. For 3H-MK6240, both total and NSP binding intensities were high in most cases. A quantitative evaluation of the binding properties of 3H-MK6240 and 3H-PI2620 was performed; total, NSP and specific binding values in fmol/mg are shown in Table 2. The percentage of specific binding for 3H-PI2620 (Fig. 6A) was very high in CBD samples (CBD 20: 58%, CBD 22: 77% and CBD 23: 71%). The percentage of specific binding for 3H-MK6240 (Fig. 6B) was lower (CBD 20: 24%, CBD 22: 0% and CBD 23:29%). The findings were similar in PSP tissue; there was a high percentage of specific binding for 3H-PI2620 (PSP 27: 73%, PSP 28: 44%) and a lower percentage of specific binding for 3H-MK6240 (PSP 27: 18%, PSP 28: 12%). The specific binding for 3H-PI2620 in the CBD samples ranged from 27.6 to 62.3 fmol/mg and 20.3 to 34.9 fmol/mg in PSP samples while, for 3H-MK6240, the specific binding was lower, ranging from 0 to 19.9 fmol/mg in CBD samples and from 4.6 to 6.5 fmol/mg in PSP samples.
Tau immunohistochemistry in CBD and PSP brains
AT8 staining results for each case are shown in Fig. 6. The specific positivity of the AT8 immunostaining confirmed the diagnosis of PSP and CBD, by visualisation of disease specific tau changes, tufted astrocytes and astrocytic plaques considered as the morphological hallmarks of PSP and CBD respectively.
High AT8 staining was observed in the FCs, predominantly throughout the cortex of the three CBD cases [20, 22, 23], with specific staining of astrocytic plaques (see Fig. 6; Supplementary Fig.1) and some neurones (data not shown). Moreover, we also observed numerous AT8 positive neuropil threads. The FCs from the two PSP brains [27, 28] showed more AT8 specific binding in the cortex than in the white matter; and mostly located in astrocyte-like structures: tufted astrocytes (see Fig. 6; Supplementary Fig. 1).
Discussion
Recent cryo-EM studies have clearly highlighted the complexity of tau protein and demonstrated how tau folds/conformations can vary among the different tauopathies and across different brain regions [7, 36]. The main impact of this complexity can be seen in clinical settings where confounding factors between tauopathies often lead to a misdiagnosis [37, 38]. Corticobasal syndrome (CBS), whose main clinical features are a progressive unilateral or asymmetrical rigidity and apraxia [39, 40], can appear in different subtypes of neurodegenerative disease [40]. For example, amongst patients clinically diagnosed with CBS, only 50% will have a confirmed CBD diagnosis [41]. In this regard, PET imaging is a promising asset which will not only assist in early tau detection but could also help differentiate between tauopathies, with specific tracers (3R, 4R and 3R + 4R) targeting different tau isoforms [42]. Most tau tracers are still limited to clinical experimental PET studies, except flortaucipir which was approved by the FDA in 2020 for clinical practice as a PET tracer for tau in memory assessments. In this study, we aimed to perform in-depth evaluations of three second-generation tau PET tracers (PI2620, MK6240 and RO948) in AD, CBD and PSP brain tissue using in vitro imaging and immunohistochemistry techniques.
3H-PI2620 saturation binding studies in the frontal cortex of AD brains demonstrated the presence of two binding sites and competition binding studies with unlabelled PI2620 versus 3H-PI2620 complemented the saturation data, demonstrating the presence of two binding sites (SHA and HA) in AD brains, with more than 70% corresponding to the HA site. These findings are in accordance with our earlier in silico data reports, suggesting that different tau tracers can detect multiple binding sites of AD tau fibril [28,29,30,31]. Moreover, tau spreads throughout the brain in the late stages of AD, with a high number of intraneuronal tau inclusions and extracellular ghost tangles made of 3 R and 4R isoforms in the cortical and hippocampal regions [43]. In addition, the severity of cognitive impairment in AD is reasonably well correlated with in vivo tau PET imaging [44, 45] as well as Braak stages [46,47,48].
We also compared the binding properties of 3H-PI2620 with those of other 3R/4R tau tracers in the FC of AD brains, as in our earlier studies with MK6240 in the same AD patients’ brains [21]. Unlabelled RO948 competed for two binding sites with analogous affinities and, as before, our competitive studies between 3H-PI2620 and unlabelled MK6240 revealed two binding sites with affinities similar to those of unlabelled PI2620. Interestingly, in addition to the similar affinities for the three tau tracers in AD brains, the proportions of SHA and HA binding sites were also similar for the three tracers (the HA site accounted for more than 70% of the sites), stressing their similar binding behaviour in AD brains, rich in 3R and 4R isoforms. In our previous study, we showed that 3H-MK6240 had equivalent affinity (Kd = 0.3 nM) in the TC of AD brains [21]. Autoradiography of large frozen adjacent hemispherical brain sections from a sporadic AD case corroborated these results. 3H-PI2620, 3H-MK6240 and 3H-RO948 demonstrated the same binding pattern (visually/qualitatively) in the frontal and temporal lobes (neocortex) but a different binding pattern in the hippocampus and entorhinal cortex (allocortex). The three PET tracers all showed similar laminar patterns in the frontal and temporal lobes, with a higher binding intensity in the deeper cortical layers. Similar laminar distribution binding pattern was observed with the tau PET tracer THK5117 [35].
Interestingly, hippocampal CA1 region and entorhinal cortex displayed less 3H-PI2620 binding than 3H-MK6240 and 3H-RO948 despite the fact that tau tangles should dominate in these regions. The distinct morphological features of very advanced tau pathology in the hippocampus CA1 and entorhinal cortex [49] might explain the differences in binding properties between the tracers in these regions.
Our competitive and autoradiography studies in AD brains clearly demonstrated that 3H-PI2620, 3H-MK6240 and 3H-RO948 behaved in a similar fashion. However, earlier in silico studies suggested that, despite their comparable affinities, binding sites (number and %) and patterns, these binding sites could be different, with different binding mechanisms. In silico modelling of four HA binding sites on the AD tau fibril suggested that MK6240 binds preferentially to site 1, while RO948 (former name 6958948) binds to site 3 [30].
Moreover, competition studies with different unlabelled tau tracers (MK6240 versus PI2620 for example) can generate different proportions of subpopulations of binding sites depending on which radiotracer (3H-MK6240 versus 3H-PI2620) is used in the competition studies. Although the binding sites seem to be similar for MK6240 and PI2620, they are not exactly the same (as also observed in published in silico studies; see Zhou et al. 2021 [31]). Thus, competition studies with the same unlabelled compound as the tritiated generate different binding properties that in competition studies with a different labelled compound. Our 3H-PI2620 regional distribution studies in the five regions of interest (frontal, temporal and parietal cortices, hippocampus and cerebellum) demonstrated that AD and control cases can be differentiated by 3H-PI2620, especially in the FC and TC regions (p < 0.001) and the hippocampal region (p = 0.02). This observation is in accordance with in vivo PET studies in AD and control patients [50, 51]. Interestingly, when we divided the AD cases according to disease onset (EOAD before and LOAD after 65 years of age), binding of 3H-PI2620 was significantly higher in EOAD brains than in LOAD brains in the cortical regions (FC: p < 0.01, PC and TC: p < 0.01) but not in the hippocampus. The lower binding in the hippocampus could be, firstly, due to use of post-mortem brain tissue, where we target tau fibrils at the end stages of the disease and hippocampus being primarily affected regions may have been severely atrophied. Secondly, as we have discussed above, it is possible that these tracers might not target or can access all types of binding sites [28, 31, 52] on distinct tau tangles depending upon their morphology/conformation and maturity stages (ranging from pre-tangles to ghost tangles [53]). The 3H-PI2620 regional binding distribution followed the rank order: FC > TC > PC > hippocampus, although there was significant case-by-case variability which could be attributed to AD tau heterogeneity (with regards to folds/strains/isoforms) in different regions of the brain. A recent study by Kim et al. [36] showed that this variability could be the result of diverse structural strains of tau protein, which could dictate the rate of AD progression. They found that distinct misfolded populations of 4R-rich isomers were more prominent in rapidly pathology-driven disease. In the context of our saturation and competitive binding studies, which showed high specificity of the tracer for pathological tau, there was no significant (or potential off-target) binding in AD or control cerebellum tissue. In our previous study [21], 3H-MK6240 also displayed significantly higher binding in the cortical regions of EOAD brains, complementing the above findings that the binding behaviour and discriminative properties of 3H-PI2620 and 3H-MK6240 are comparable in AD. In vivo PET studies have also shown higher tau PET tracer binding in EOAD tissue than in LOAD tissue [54, 55]. The mechanistic studies of second-generation tau tracers in primary tauopathies are still evolving and some disagreement can be observed between recently published in vivo and in vitro studies, as mentioned in the introduction [16, 17, 22, 25,26,27]. This motivated us to investigate these tracers in primary tauopathies such as PSP and CBD.
3H-PI2620 saturation binding studies in the FC of CBD brains demonstrated the presence of two binding sites, as in AD brains but only one site in PSP brains. The binding affinities of the binding sites in CBD and PSP brains were almost comparable to those in AD brains (Kd ranging from 0.1 to 1.2 nM). The main difference was in the Bmax (site density) values. The Bmax in CBD brain tissue was 2-fold lower than that in AD brain tissue whereas, in PSP, Bmax was almost 6-fold lower than in AD brain tissue. Thus, Bmax was 2.6-fold higher in CBD than in PSP brain tissue. These observations were confirmed by comparing the specific and NSP binding of 3H-PI2620 in these cases. In AD brain tissue, the specific binding was 2.5-fold and 6.5-fold higher than in CBD and PSP brain tissues, respectively.
CBD brains commonly present with high tau levels in the glial cells and neurons of the FC as well as in the basal ganglia and brainstem. However, typical PSP brains primarily present with neurofibrillary tangles in the neurons of the basal ganglia, diencephalon and brainstem [56], which could explain the lower numbers of 3H-PI2620 binding sites in our saturation studies in the FC of PSP brains. FC was chosen for saturation studies since it was affected in all three pathologies albeit differently. Nevertheless, although the number/density of binding sites might vary by brain region, 3H-PI2620 bound to tissue from the three pathologies with similar high affinity, suggesting the presence of either specific or completely different tau-binding sites (with the same affinity) in these diseases.
Competitive studies with unlabelled PI2620 in CBD brain tissue also showed two binding sites, revealing a SHA site in the picomolar range that was not detectable in our saturation studies. In PSP, only one HA site was observed. Despite the differences in the binding affinity (for two binding sites) of PI2620 in CBD brain tissue, the proportions of the sites were equivalent. In silico studies on CBD tau fibrils predicted that, theoretically, among six potential binding sites, only two sites would be favourable for PI2620 (one entry site and one surface site) [31], while in AD tau fibrils where 12 binding sites would be available, PI2620 would preferentially bind to the core site and the entry site [28]. These findings clearly highlight the importance of the accessibility of tau-binding sites and fold conformational variability in these pathologies. In AD pathology, ghost tangles are present in heavily affected regions such as hippocampal CA1 and entorhinal cortex when the neurones have died but can hardly be visualised by AT8 staining since the epitopes of interest are washed out by proteases [49]. In this study we clearly observed in AD autoradiography that 3H-PI2620 binding differed between the different cortical areas, highlighting the possibility for this tracer to differentially bind to distinct tau formations.
Although the PET tracer observations from our binding and autoradiography studies complemented each other well, we observed quite low specific binding values (in saturation and regional distribution binding assays) for 3H-PI2620 in brains from pathologically confirmed AD, CBD and PSP cases. The specific binding values were <70 fmol/mg, <30 fmol/mg, and <10 fmol/mg for AD, CBD and PSP brains, respectively, which may be somewhat surprising considering the high Braak stages (4-6; Table 1) and the higher binding values of the tracers in small section autoradiography studies (Fig. 6).
The binding assays on brain homogenates were sensitive enough to provide important information regarding the binding characteristics (Bmax and Kd) of the tracers. However, we believe that the low binding could be the outcome of various experimental factors. (1) The process of preparing the brain homogenates may have caused tissue rupture as a result of sheer force and solvent exposure which, despite our taking countermeasures, could have affected the protein conformations and folds (please refer to Timasheff et al. for further clarification [57]), thereby affecting the accessibility of the tracer to the binding sites. (2). The amount of tissue used for these experiments was quite low (0.5 mg), despite having been decided on by rigorous protocol standardisation and test experiments. As we have seen in several of our previous studies, increasing the amount of tissue resulted in more NSP binding of the tracers. (3) There may also have been interference from other regions (low in target) that were part of the ROI. This aspect was beyond our control as the tissues were received from brain banks; however, we endeavoured to minimise this interference. In this way, autoradiography studies reflect the in vivo behaviour of a tracer with more accuracy as the tissue’s integrity (along with target accessibility) is preserved. The small frozen brain section autoradiography studies with 3H-PI2620, 3H-MK6240 and 3H-RO948 in FC tissue from CBD and PSP brains explicitly demonstrated this. In both CBD and PSP tissue, there was an evident difference in 3H-PI2620 binding intensity between the total and NSP binding sections which was complemented by quantitative analyses, in contrast to previous studies showing no binding in the FC of PSP patients [23]. The specific binding of 3H-PI2620 was in the range of 58-77 %, for the three CBD cases, and 44-73 % for the two PSP cases. For CBD and PSP, specific binding values were ~ 3.1- and 2.9-fold higher, respectively, than in brain homogenates (compare Fig. 1 and Table 2; Specific binding). On the adjacent CBD and PSP small frozen brain sections, autoradiography using 3H-MK6240 showed a small difference between the total and NSP binding. The specific binding of 3H-MK6240 was unequivocally lower than that of 3H-PI2620 (~ 17 % in CBD sections and ~ 15 % in PSP sections). For 3H-RO948, we observed a difference in intensity between the total and NSP binding; however, the strength of the binding was lower than that for 3H-PI2620. Moreover, in small frozen CBD brain sections, 3H-PI2620 bound in a diffuse manner, with no frontier between the cortical grey matter and the white matter. Small frozen brain section autoradiography findings were further supplemented by immunostaining studies performed on adjacent sections of CBD and PSP tissue with AT8 (targeting 3R + 4R isoforms). We observed high AT8 immunoreactivity with AT8 in the grey matter (numerous tau threads), glial cells and white matter. AT8 immunoreactivity was higher in the superficial cortical layers of CBD tissue and in the deeper cortical layers of PSP tissue. In a laminar pathology such as AD, neurons are anatomically positioned in different layers in the cortex, which explains the distinctive border between the grey and the white matter observed with the three tracers [58]. In CBD the important glial pathology is more spread explaining why the tracers binding is more diffuse in the grey and white matter. Interestingly, in PSP pathology, even if the glial pathology was highly present, no laminar pattern was observed, and the tracers showed a higher binding in the grey matter compared to white matter (to a lower extent for 3H-RO948).
In summary, our findings clearly demonstrate the power of 3H-PI2620 to discriminate between AD and control cases, and emphasise that 3H-PI2620, 3H-MK6240 and 3H-RO948 could be valuable for understanding the tau heterogeneity in AD and non-AD tauopathies, through their propensity to target different tau conformations. However, our autoradiography studies may have been limited by the use of only one AD and a few CBD and PSP brains. Further studies in a larger number of cases, including different CBD and PSP subtypes, would be interesting for providing a more mechanistic insight into these primary tauopathies. Moreover, even if we optimised the experimental conditions to the best, we cannot rule out the possibility of variation which can arise from the change of buffer or the process of homogenisation, triggering conformational changes preventing the binding/access of the tracer on tau fibrils. We believe that it is very important to consider several factors and a rigorous standardisation needs to be done while designing these studies. Also, we like to emphasise the need to perform small and large brain section autoradiography studies with binding studies in tandem.
Overall, this study clearly shows that 3H-PI2620 has comparable binding affinity in AD, CBD and PSP brain tissue, although the binding site density can vary between these pathologies in the order: AD > CBD > PSP. Our competitive binding studies indicated that PI2620 can detect multiple binding sites in AD, CBD and PSP brain tissue. Moreover, 3H-PI2620, 3H-MK-6240 and 3H-RO948 behave similarly in AD brain tissue, i.e. there are multiple binding sites with equivalent affinities and site proportions as well as similar binding patterns in different brain regions. Most importantly, in CBD and PSP brains, 3H-PI2620 displayed high specificity; this was not observed with 3H-MK6240. Our results explicitly highlight and support the great complexity of tau proteins (fold/conformation) in different proteinopathies and complement recent biochemical and structural studies demonstrating tau heterogeneity [7, 36]. Additional in vitro and in vivo brain imaging studies focusing on new more selective tau tracers are needed in order to better understand the underlying pathophysiological mechanisms and clinical complexity of AD and non-AD tauopathies.
Data availability
The raw data used in this study are available from the corresponding authors upon reasonable request.
Change history
08 March 2023
A Correction to this paper has been published: https://doi.org/10.1038/s41380-023-02021-2
References
Wang Y, Mandelkow E. Tau in physiology and pathology. Nat Rev Neurosci. 2016;17:22–35.
Cherry JD, Esnault CD, Baucom ZH, Tripodis Y, Huber BR, Alvarez VE, et al. Tau isoforms are differentially expressed across the hippocampus in chronic traumatic encephalopathy and Alzheimer’s disease. Acta Neuropathol Commun. 2021;9:86.
Dickerson BC. Hodges’ frontotemporal dementia. 2nd ed. Cambridge: Cambridge University Press; 2016.
Rösler TW, Tayaranian Marvian A, Brendel M, Nykänen NP, Höllerhage M, Schwarz SC, et al. Four-repeat tauopathies. Prog Neurobiol. 2019;180:101644.
Murray ME, Kouri N, Lin WL, Jack CR Jr, Dickson DW, Vemuri P. Clinicopathologic assessment and imaging of tauopathies in neurodegenerative dementias. Alzheimers Res Ther. 2014;6:1.
Zhang W, Tarutani A, Newell KL, Murzin AG, Matsubara T, Falcon B, et al. Novel tau filament fold in corticobasal degeneration. Nature. 2020;580:283–7.
Shi Y, Zhang W, Yang Y, Murzin AG, Falcon B, Kotecha A, et al. Structure-based classification of tauopathies. Nature. 2021;598:359–63.
Leuzy A, Chiotis K, Lemoine L, Gillberg PG, Almkvist O, Rodriguez-Vieitez E, et al. Tau PET imaging in neurodegenerative tauopathies-still a challenge. Mol Psychiatry. 2019;24:1112–34.
Pascoal TA, Shin M, Kang MS, Chamoun M, Chartrand D, Mathotaarachchi S, et al. In vivo quantification of neurofibrillary tangles with [(18)F]MK-6240. Alzheimers Res Ther. 2018;10:74.
Mueller A, Bullich S, Barret O, Madonia J, Berndt M, Papin C, et al. Tau PET imaging with (18)F-PI-2620 in patients with Alzheimer disease and healthy controls: a first-in-humans study. J Nucl Med. 2020;61:911–9.
Leuzy A, Smith R, Ossenkoppele R, Santillo A, Borroni E, Klein G, et al. Diagnostic performance of RO948 F 18 tau positron emission tomography in the differentiation of Alzheimer disease from other neurodegenerative disorders. JAMA Neurol. 2020;77:955–65.
Ossenkoppele R, Smith R, Mattsson-Carlgren N, Groot C, Leuzy A, Strandberg O, et al. Accuracy of tau positron emission tomography as a prognostic marker in preclinical and prodromal Alzheimer disease: a head-to-head comparison against amyloid positron emission tomography and magnetic resonance imaging. JAMA Neurol. 2021;78:961–71.
Rowe CC, Doré V, Krishnadas N, Burnham S, Lamb F, Mulligan R, et al. Tau imaging with 18F-MK6240 across the Alzheimer’s disease spectrum. https://www.medrxiv.org/content/10.1101/2022.02.13.22270894v1 (2022).
Therriault J, Pascoal TA, Lussier FZ, Tissot C, Chamoun M, Bezgin G, et al. Biomarker modeling of Alzheimer’s disease using PET-based Braak staging. Nat Aging 2022;2:526–35.
Rullmann M, Brendel M, Schroeter ML, Saur D, Levin J, Perneczky RG, et al. Multicenter (18)F-PI-2620 PET for in vivo braak staging of tau pathology in Alzheimer’s disease. Biomolecules. 2022;12:458.
Brendel M, Barthel H, van Eimeren T, Marek K, Beyer L, Song M, et al. Assessment of 18F-PI-2620 as a biomarker in progressive supranuclear palsy. JAMA Neurol. 2020;77:1408–19.
Tezuka T, Takahata K, Seki M, Tabuchi H, Momota Y, Shiraiwa M, et al. Evaluation of [18F]PI-2620, a second-generation selective tau tracer, for assessing four-repeat tauopathies. Brain Commun 2021;3:fcab190.
Leuzy A, Pascoal TA, Strandberg O, Insel P, Smith R, Mattsson-Carlgren N, et al. A multicenter comparison of [(18)F]flortaucipir, [(18)F]RO948, and [(18)F]MK6240 tau PET tracers to detect a common target ROI for differential diagnosis. Eur J Nucl Med Mol Imaging. 2021;48:2295–305.
Aguero C, Dhaynaut M, Normandin MD, Amaral AC, Guehl NJ, Neelamegam R. et al. Autoradiography validation of novel tau PET tracer [F-18]-MK-6240 on human postmortem brain tissue. Acta Neuropathol Commun. 2019;7:37.
Kroth H, Oden F, Molette J, Schieferstein H, Capotosti F, Mueller A, et al. Discovery and preclinical characterization of [(18)F]PI-2620, a next-generation tau PET tracer for the assessment of tau pathology in Alzheimer’s disease and other tauopathies. Eur J Nucl Med Mol Imaging. 2019;46:2178–89.
Malarte ML, Nordberg A, Lemoine L. Characterization of MK6240, a tau PET tracer, in autopsy brain tissue from Alzheimer’s disease cases. Eur J Nucl Med Mol Imaging. 2021;48:1093–102.
Willroider M, Roeber S, Horn AKE, Arzberger T, Scheifele M, Respondek G, et al. Superiority of formalin-fixed paraffin-embedded brain tissue for in vitro assessment of progressive supranuclear palsy tau pathology with [(18) F]PI-2620. Front Neurol. 2021;12:684523.
Yap SY, Frias B, Wren MC, Schöll M, Fox NC, Årstad E, et al. Discriminatory ability of next-generation tau PET tracers for Alzheimer’s disease. Brain. 2021;144:2284–90.
Ametamey SM, Honer M, Schubiger PA. Molecular imaging with PET. Chem Rev. 2008;108:1501–16.
Schonhaut DR, McMillan CT, Spina S, Dickerson BC, Siderowf A, Devous MD Sr, et al. (18) F-flortaucipir tau positron emission tomography distinguishes established progressive supranuclear palsy from controls and Parkinson disease: a multicenter study. Ann Neurol. 2017;82:622–34.
Utianski RL, Martin PR, Botha H, Schwarz CG, Duffy JR, Petersen RC, et al. Longitudinal flortaucipir ([(18)F]AV-1451) PET imaging in primary progressive apraxia of speech. Cortex. 2020;124:33–43.
Marquié M, Normandin MD, Meltzer AC, Siao Tick Chong M, Andrea NV, Antón-Fernández A. et al. Pathological correlations of [F-18]-AV-1451 imaging in non-Alzheimer tauopathies. Ann Neurol. 2017;81:117–28.
Kuang G, Murugan NA, Zhou Y, Nordberg A, Ågren H. Computational Insight into the Binding Profile of the Second-Generation PET Tracer PI2620 with Tau Fibrils. ACS Chem Neurosci. 2020;11:900–8.
Murugan NA, Chiotis K, Rodriguez-Vieitez E, Lemoine L, Ågren H, Nordberg A. Cross-interaction of tau PET tracers with monoamine oxidase B: evidence from in silico modelling and in vivo imaging. Eur J Nucl Med Mol Imaging. 2019;46:1369–82.
Murugan NA, Nordberg A, Ågren H. Different positron emission tomography tau tracers bind to multiple binding sites on the tau fibril: insight from computational modeling. ACS Chem Neurosci. 2018;9:1757–67.
Zhou Y, Li J, Nordberg A, Ågren H. Dissecting the binding profile of PET tracers to corticobasal degeneration tau fibrils. ACS Chem Neurosci. 2021;12:3487–96.
Lemoine L, Saint-Aubert L, Marutle A, Antoni G, Eriksson JP, Ghetti B, et al. Visualization of regional tau deposits using 3H-THK5117 in Alzheimer brain tissue. Acta Neuropathol Commun. 2015;3:40.
Gillberg PG, Jossan SS, Askmark H, Aquilonius SM. Large-section cryomicrotomy for in vitro receptor autoradiography. J Pharmacol Methods. 1986;15:169–80.
Kumar A, Koistinen NA, Malarte M-L, Nennesmo I, Ingelsson M, Ghetti B, et al. Astroglial tracer BU99008 detects multiple binding sites in Alzheimer’s disease brain. Mol Psychiatry. 2021;26:5833–47.
Lemoine L, Saint-Aubert L, Nennesmo I, Gillberg P-G, Nordberg A. Cortical laminar tau deposits and activated astrocytes in Alzheimer’s disease visualised by 3H-THK5117 and 3H-deprenyl autoradiography. Sci Rep. 2017;7:45496.
Kim C, Haldiman T, Kang SG, Hromadkova L, Han ZZ, Chen W, et al. Distinct populations of highly potent TAU seed conformers in rapidly progressing Alzheimer’s disease. Sci Transl Med. 2022;14:eabg0253.
Perry DC, Brown JA, Possin KL, Datta S, Trujillo A, Radke A, et al. Clinicopathological correlations in behavioural variant frontotemporal dementia. Brain. 2017;140:3329–45.
Villemagne VL, Fodero-Tavoletti MT, Masters CL, Rowe CC. Tau imaging: early progress and future directions. Lancet Neurol. 2015;14:114–24.
Boeve BF, Lang AE, Litvan I. Corticobasal degeneration and its relationship to progressive supranuclear palsy and frontotemporal dementia. Ann Neurol 2003;54:S15–9.
Smith R, Schöll M, Widner H, van Westen D, Svenningsson P, Hägerström D, et al. In vivo retention of (18)F-AV-1451 in corticobasal syndrome. Neurology. 2017;89:845–53.
Armstrong MJ, Litvan I, Lang AE, Bak TH, Bhatia KP, Borroni B, et al. Criteria for the diagnosis of corticobasal degeneration. Neurology. 2013;80:496–503.
James OG, Doraiswamy PM, Borges-Neto S. PET imaging of tau pathology in Alzheimer’s disease and tauopathies. Front Neurol. 2015;6:38.
Vogel JW, Iturria-Medina Y, Strandberg OT, Smith R, Levitis E, Evans AC, et al. Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease. Nat Commun. 2020;11:2612.
Wolters EE, Ossenkoppele R, Verfaillie SCJ, Coomans EM, Timmers T, Visser D, et al. Regional [(18)F]flortaucipir PET is more closely associated with disease severity than CSF p-tau in Alzheimer’s disease. Eur J Nucl Med Mol Imaging. 2020;47:2866–78.
Lu M, Pontecorvo MJ, Devous MD Sr, Arora AK, Galante N, McGeehan A, et al. Aggregated tau measured by visual interpretation of flortaucipir positron emission tomography and the associated risk of clinical progression of mild cognitive impairment and Alzheimer disease: results from 2 phase III Clinical Trials. JAMA Neurol. 2021;78:445–53.
Biel D, Brendel M, Rubinski A, Buerger K, Janowitz D, Dichgans M, et al. Tau-PET and in vivo Braak-staging as prognostic markers of future cognitive decline in cognitively normal to demented individuals. Alzheimer’s Res Ther. 2021;13:137.
Gold G, Bouras C, Kövari E, Canuto A, Glaría BG, Malky A, et al. Clinical validity of Braak neuropathological staging in the oldest-old. Acta Neuropathol. 2000;99:579–82.
Malek-Ahmadi M, Perez SE, Chen K, Mufson EJ. Braak stage, cerebral amyloid angiopathy, and cognitive decline in early Alzheimer’s disease. J Alzheimers Dis. 2020;74:189–97.
Moloney CM, Lowe VJ, Murray ME. Visualization of neurofibrillary tangle maturity in Alzheimer’s disease: A clinicopathologic perspective for biomarker research. Alzheimers Dement. 2021;17:1554–74.
Jantarato A, Vachatimanont S, Boonkawin N, Yaset S, Kunawudhi A, Promteangtrong C, et al. The evaluation of tau deposition with [18F]PI-2620 by using a semiquantitative method in cognitively normal subjects and patients with mild cognitive impairment and Alzheimer’s disease. Mol Imaging. 2021;2021:6640054.
Mormino EC, Toueg TN, Azevedo C, Castillo JB, Guo W, Nadiadwala A, et al. Tau PET imaging with 18F-PI-2620 in aging and neurodegenerative diseases. Eur J Nucl Med Mol Imaging. 2021;48:2233–44.
Murugan NA, Nordberg A, Agren H. Cryptic sites in tau fibrils explain the preferential binding of the AV-1451 PET tracer toward Alzheimer’s tauopathy. ACS Chem Neurosci. 2021;12:2437–47.
Moloney CM, Labuzan SA, Crook JE, Siddiqui H, Castanedes-Casey M, Lachner C, et al. Phosphorylated tau sites that are elevated in Alzheimer’s disease fluid biomarkers are visualized in early neurofibrillary tangle maturity levels in the post mortem brain. Alzheimers Dement. 2022. https://doi.org/10.1002/alz.12749.
Pascoal TA, Therriault J, Benedet AL, Savard M, Lussier FZ, Chamoun M, et al. 18F-MK-6240 PET for early and late detection of neurofibrillary tangles. Brain. 2020;143:2818–30.
Schöll M, Ossenkoppele R, Strandberg O, Palmqvist S, Jögi J, Ohlsson T, et al. Distinct 18F-AV-1451 tau PET retention patterns in early- and late-onset Alzheimer’s disease. Brain. 2017;140:2286–94.
Dickson DW, Rademakers R, Hutton ML. Progressive supranuclear palsy: pathology and genetics. Brain Pathol. 2007;17:74–82.
Timasheff SN. Protein-solvent interactions and protein conformation. Acc Chem Res. 1970;3:62–8.
Hyman BT, Gomez-Isla T. Alzheimer’s disease is a laminar, regional, and neural system specific disease, not a global brain disease. Neurobiol Aging. 1994;15:353–4.
Lemoine L, Gillberg P-G, Bogdanovic N, Nennesmo I, Saint-Aubert L, Viitanen M, et al. Amyloid, tau, and astrocyte pathology in autosomal-dominant Alzheimer’s disease variants: AβPParc and PSEN1DE9. Mol Psychiatry. 2021;26:5609–19.
Acknowledgements
We would like to thank the Netherlands Brain Bank for providing the CBD, PSP and AD brains used in the in vitro binding assays and in the small frozen section autoradiography studies. We would like to thank Professor Bernardino Ghetti (from the Neuropathology of Dementia Laboratory, Indiana University School of Medicine, Indianapolis, IN, USA) for providing PSP brain tissue (case 26), and the Brain Bank at Karolinska Institutet for providing large frozen brain blocks from an AD patient.
Funding
This study was financially supported by the Swedish Foundation for Strategic Research (SSF; RB13-0192), the Olle Engkvist Foundation (207-0584), the Swedish Research Council (projects 2017-02965, 2017-06086,2020-01990), the Stockholm County Council -Karolinska Institute regional agreement on medical training and clinical research (ALF grant), the Swedish Brain Foundation, the Swedish Alzheimer Foundation, the Foundation for Old Servants, Gun and Bertil Stohne’s Foundation, the KI Foundation for Geriatric Diseases, the Swedish Dementia Foundation, the Center for Innovative Medicine (CIMED) Region Stockholm, the Michael J Fox Foundation (MJFF-019728), the Alzheimer Association USA (AARF -21-848395), and the Recherche sur Alzheimer Foundation (Paris, France). Open access funding provided by Karolinska Institute.
Author information
Authors and Affiliations
Contributions
AN conceptualised the study. AN, LL, and MLM designed the study. MLM carried out all the experiments. NB, MLM and AK analysed the immunostaining and large section autoradiography results. MLM, LL, PG, AK and AN analysed the remaining results. MLM, AK, PG and AN wrote the first draft of the manuscript. All the authors provided critical input and feedback during the writing of the manuscript. All authors read and approved the final version of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Ethics approval
The study was conducted according to the principles of the Declaration of Helsinki and subsequent revisions. All experiments on autopsied human brain tissue were carried out in accordance with ethical permission obtained from the regional human ethics committee in Stockholm (permission numbers 2011/962/31-1, 2006/901-31/3 and 2017/2301-32), and the medical ethics committee of the VU Medical Center for the Netherlands Brain Bank tissue (permission number 1998-06/5), Indiana University Institutional Review Board, USA.
Consent to participation
Previous consent to carry out experiments was given at the time of brain donation, and no supplementary consent was needed for this study.
Consent to publish
Previous consent to publish the results of experiments was given at the time of brain donation, and no supplementary consent was needed for this study.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The original online version of this article was revised: After our manuscript has been published online we identified an error in our semi-quantification values presented in Table 2 of the manuscript, due to an error in the tritium standard reference date. To calculate the amount of tracer bound in fmol/mg, we prepare the linear standard curve using the commercially available tritium standards ranging from 0 to 489.1uCi/g. Since tritium has a half-life of 12.33 years, to know the percentage of activity remaining and respective calculation of fmol/mg, we need to take into consideration the manufacturing date of tritium standards which was unfortunately mixed up in one of our analysis’s files. Instead of year 2010, we used year 2018 in one file. We have now re-performed the analyses with the correct reference date. The new values are in the same range (see correction in the revised ms and Table 2) and comparable to the published ones. This erratum does not change the final results, interpretation and overall conclusions of the paper but for the sake of accuracy and transparency, we rectified Table 2 and sincerely apologize. The corrected Table 2 is attached.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Malarte, ML., Gillberg, PG., Kumar, A. et al. Discriminative binding of tau PET tracers PI2620, MK6240 and RO948 in Alzheimer’s disease, corticobasal degeneration and progressive supranuclear palsy brains. Mol Psychiatry 28, 1272–1283 (2023). https://doi.org/10.1038/s41380-022-01875-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41380-022-01875-2
This article is cited by
-
Cryo-EM structure of Alzheimer’s disease tau filaments with PET ligand MK-6240
Nature Communications (2024)
-
Tau PET positivity predicts clinically relevant cognitive decline driven by Alzheimer’s disease compared to comorbid cases; proof of concept in the ADNI study
Molecular Psychiatry (2024)
-
Alzheimer’s disease biomarkers and their current use in clinical research and practice
Molecular Psychiatry (2024)
-
Efficient characterization of multiple binding sites of small molecule imaging ligands on amyloid-beta, tau and alpha-synuclein
European Journal of Nuclear Medicine and Molecular Imaging (2024)
-
Head-to-head comparison of [18F]-Flortaucipir, [18F]-MK-6240 and [18F]-PI-2620 postmortem binding across the spectrum of neurodegenerative diseases
Acta Neuropathologica (2024)