Assessing THK523 selectivity for tau deposits in Alzheimer’s disease and non–Alzheimer’s disease tauopathies
© Fodero-Tavoletti et al.; licensee BioMed Central Ltd. 2014
Received: 11 July 2013
Accepted: 13 February 2014
Published: 26 February 2014
The introduction of tau imaging agents such as 18F-THK523 offers new hope for the in vivo assessment of tau deposition in tauopathies such as Alzheimer’s disease (AD), where preliminary 18F-THK523-PET studies have demonstrated significantly higher cortical retention of 18F-THK523 in AD compared to age-matched healthy individuals. In addition to AD, tau imaging with PET may also be of value in assessing non-AD tauopathies, such as corticobasal degeneration (CBD), progressive supranuclear palsy (PSP) and Pick’s disease (PiD).
To further investigate the ability of THK523 to recognize tau lesions, we undertook immunohistochemical and fluorescence studies in serial brain sections taken from individuals with AD (n = 3), CBD (n = 2), PSP (n = 1), PiD (n = 2) and Parkinson’s disease (PD; n = 2). In addition to the neuropathological analysis, one PSP patient had undergone a 18F-THK523 PET scan 5 months before death.
Although THK523 labelled tau-containing lesions such as neurofibrillary tangles and neuropil threads in the hippocampus and frontal regions of AD brains, it failed to label tau-containing lesions in non-AD tauopathies. Furthermore, though THK523 faintly labelled dense-cored amyloid-β plaques in the AD frontal cortex, it failed to label α-synuclein-containing Lewy bodies in PD brain sections.
The results of this study suggest that 18F-THK523 selectively binds to paired helical filament tau in AD brains but does not bind to tau lesions in non-AD tauopathies, or to α-synuclein in PD brains.
Alzheimer’s disease (AD) is the most common form of dementia (50% to 70% of dementia cases) . At present, there is no cure for the disease. Age is the greatest risk factor. Despite the existence of distinctive clinical diagnostic criteria, the differential diagnosis of AD and other neurodegenerative disorders is sometimes challenging because of substantial overlap in clinical presentations, especially at the early stages of the disease . Consequently, making the definitive diagnosis of neurodegenerative diseases is still reliant upon postmortem examination of the brain.
AD is pathologically characterised by the presence of (1) extracellular neuritic plaques composed of aggregated β-amyloid (Aβ) and (2) intracellular neurofibrillary tangles (NFTs) composed of the aggregated tau protein [3, 4]. Tau aggregates are a pathological trait of not only AD but also other neurodegenerative conditions, such as corticobasal degeneration (CBD) and progressive supranuclear palsy (PSP), as well as some variants of frontotemporal lobar degeneration (FTLD-tau) , such as Pick’s disease (PiD). Whilst the underlying mechanism leading to tau accumulation remains unclear, it is thought to be related to several pathogenic events resulting in hyperphosphorylation, misfolding and aggregation of tau. Tau aggregation in this wide spectrum of tauopathies presents with different morphologies (for example, NFTs in AD, astrocytes in CBD, globose tangles and thorny and tufted astrocytes in PSP and Pick bodies in PiD [6–9]) and ultrastructural conformations (for example, paired helical filaments in AD, straight filaments in PSP and twisted ribbons and random coils in PiD [6, 10, 11]), which are probably attributable to the combinations of the different tau isoforms and a wide variety of posttranslation modifications [6, 12]. Additionally, the spatial distribution of the tau aggregates in these tauopathies differ from each other, with NFTs in AD being prevalent in the mesial temporal cortex and cortical grey-matter (GM) areas. Tau aggregates are also found in the frontal and striatal brain regions in CBD; in the brainstem, cerebellar white matter and basal ganglia in PSP; and in the frontal and temporal neocortex in PiD [13–17]. The diverse distribution of these tau aggregates in the brain can potentially be useful in the differential diagnosis of these tauopathies, assuming the same tau imaging agent binds with similar affinity to the whole spectrum of tau aggregates. Alternatively, the differential diagnosis might require the development of selective tau radiotracers for each specific conformation of tau aggregates.
In recent years, a great deal of interest has been placed on identifying the ideal diagnostic tool for neurodegenerative diseases. Despite the quantitative assessment of Aβ, tau and phospho-tau in cerebrospinal fluid (CSF) , lumbar puncture is still considered an invasive procedure for the widespread screening of the ‘at-risk’ population. Additionally, CSF measurements do not provide information on regional brain deposition of Aβ or tau, which may have clear correlates with cognition or regional brain atrophy and might not be able to provide important information regarding the therapeutic outcomes or response to current drugs aimed at modulating the deposition of these misfolded proteins [19–23]. Given the sometimes nonspecific nature of clinical symptoms and neuropsychological assessments, modern molecular imaging techniques have proven beneficial in the noninvasive identification of the underlying pathology of these diseases. Considerable effort has been focused on the development of novel Aβ ligands that permit detection of Aβ deposition . The Aβ-specific ligands 18F-AV-45 (florbetapir; (E)-4-(2-(6-(2-(2-(2-([18F]-fluoroethoxy)ethoxy)ethoxy)pyridin-3-yl)vinyl)-N-methyl benzenamine) and Pittsburgh compound B (PiB)  are the best characterized and have proven to be suitable positron emission tomography (PET) biomarkers for the in vivo quantitation of cerebral Aβ burden. They have demonstrated a robust difference in retention between AD and healthy individuals [25–27]. 18F-AV-45  and flutemetamol 18 (2-[3-fluoranyl-4-(methylamino)phenyl]-1,3-benzothiazol-6-ol)  have already been approved for clinical Aβ imaging in the United States. These two agents belong to a second generation of Aβ radiotracers labelled with 18F, which, with a half-life of 110 minutes, allows a wider and more cost-effective application of Aβ imaging.
We recently reported the preclinical characterization of the selective tau radiotracer 18F-THK523 , a quinoline derivative pioneered by Okamura and colleagues [30, 31]. Preliminary clinical evaluation of 18F-THK523 has demonstrated that 18F-THK523 retention is significantly higher in the cortical and hippocampal GM of AD patients than in age-matched healthy individuals .
To discern whether 18F-THK523 recognises non-AD tau aggregates in addition to NFTs, we evaluated a series of brain sections from AD and non-AD tauopathies to evaluate the binding profile of 18F-THK523.
All reagents were purchased from Sigma-Aldrich (St Louis, MO, USA) unless otherwise stated.
Tissue collection and characterisation
Tissues were sourced and prepared by the Victorian Brain Bank Network. The AD pathological diagnosis was made according to standard National Institute on Aging/Reagan Institute criteria . Determination of age-matched control cases were subject to the above-described criteria. The pathological diagnoses of PiD, CBD and PSP were all made according to previously described methods [33, 34]. Ten cases were evaluated for this study: AD (n = 3), CBD (n = 1), PiD (n = 2), PD (n = 1) and PSP (n = 3). One of the individuals with PSP had undergone 18F-THK523 PET 5 months before death.
Immunohistochemistry and fluorescence analysis
All brain tissue was fixed in 10% neutral buffered formalin, processed, and embedded in paraffin. For immunohistochemistry, 5-μm serial sections were deparaffinized and treated with 90% formic acid for 5 minutes, and endogenous peroxidase activity was blocked with 5% hydrogen peroxide. Sections were then treated with 0.2% casein in Tris buffer before incubation with primary antibodies to α-synuclein (97/8, 1:2,000 dilution) , Aβ (1e8, 1:2,000 dilution; monoclonal antibody recognises Aβ(17–24))  and tau (polyclonal antibody recognises C-terminal tau (amino acids 243 to 441), catalog no. 0024; Dako Denmark, Glostrup, Denmark), for 1 hour at room temperature. Serial 5-μm tissue sections were stained as follows. The first and third sections were immunolabelled with anti-97/8 antibody, anti-1e8 antibody or tau to identify Lewy bodies, Aβ plaques or tau aggregates, respectively. The second serial section was stained with unlabelled THK523 to assess whether THK523 staining colocalised with the immunodetected Lewy bodies and/or Aβ plaques and/or tau aggregates. Detection of antibody binding was achieved using the LSAB kit (labelled streptavidin-biotin, catalog no. K0657; Dako Denmark), then sections were incubated with hydrogen peroxidase diaminobenzidine (H2O2-DAB; Dako Denmark) to visualise the α-synuclein-, Aβ- or tau-positive deposits. Sections were counterstained briefly (15 seconds) with Harris’s haematoxylin. To detect THK523 fluorescence, quenching was first performed whereby sections were first deparaffinized and tissue autofluorescence was minimized by treatment of sections with 0.25% KMnO4 phosphate-buffered saline (PBS) for 20 minutes prior to washing in PBS and incubation with 1% potassium metabisulphite/1% oxalic acid/PBS for 5 minutes. Following autofluorescence quenching, sections were blocked in 2% bovine serum albumin/PBS, pH 7.0, for 10 minutes and stained with 100 μM THK523 for 30 minutes. Sections washed in PBS were then mounted in nonfluorescent mounting medium (catalog no. S3023; Dako Denmark). Epifluorescent images were visualized on a Leica microscope (47-nm cyan fluorescent protein, fluorescence filter set 47 (EM BP 436/20, BS FT 455 and EM BP 480/40); Leica Microsystems, North Ryde, 2113 Australia). Colocalisation of the THK523 and antibody signals were assessed by overlaying images from each of the stained serial tissue sections.
Five months before death, a seventy-nine-year-old patient diagnosed with PSP underwent an Aβ imaging PET scan with 18F-florbetaben and a tau imaging scan with 18F-THK523. Approval of the study was granted by the Austin Health Human Research Ethics Committee, and written informed consent was obtained from all participants and caregivers before the study. The patient was recruited, reviewed and diagnosed on the basis of clinical and neuropsychological assessment by consensus of a neurologist and a neuropsychologist.
As part of the imaging protocol, we performed magnetic resonance imaging (MRI) using a three-dimensional magnetization-prepared rapid acquisition gradient echo sequence and T2-weighted fast spin echo and fluid-attenuated inversion recovery sequences. Both 18F-florbetaben and 18F-THK523 were synthesized at the Centre for PET, Austin Health, as previously described [37–39]. PET scans were acquired using a Philips Allegro PET scanner (Philips Healthcare, North Ryde, Australia) at the Austin Health Centre. A transmission scan using a rotating Cs-137 source was taken for attenuation correction immediately prior to obtaining the emission scan. A 60-minute list-mode emission acquisition, followed by a 90- to 120-minute acquisition using 10-minute frames, was performed in three-dimensional mode after injection of 300 MBq of 18F-florbetaben. A 90-minute list-mode emission image acquisition was performed in three-dimensional mode after injection of 200 MBq of 18F-THK523. Images were reconstructed using a three-dimensional row action maximum likelihood algorithm.
PET images were processed using a previously described semiautomatic region of interest (ROI) method . Briefly, coregistration of the patient’s MRI scans with the PET images was performed with Statistical Parametric Mapping 8 (SPM8) software . A narrow cortical ROI template was placed on the coregistered MRI scanner by an operator (VLV) who was blinded to the participant’s clinical status, then it was transferred to the coregistered PET images. The ROI template covered cortical and subcortical GM structures as well as the midbrain and pons. Subcortical white-matter ROIs were placed at the centrum semiovale, and the cerebellar regions were placed over the cerebellar cortex, taking care to avoid white matter. Standardised uptake values (SUVs), defined as the decay-corrected brain radioactivity concentration normalized for injected dose and body weight, were calculated for all regions. In order to avoid arterial blood sampling, a simplified approach was applied using the cerebellar cortex as the reference region. SUVs were used to derive SUV ratios (SUVRs) referenced to the cerebellar cortex soon after the ratio of binding in neocortex to that in the cerebellar cortex reached an apparent steady state. Regional THK523 SUVRs were obtained for all regions sampled. Global tau burden was expressed as the average THK523 SUVR for the following cortical ROIs: frontal (consisting of the dorsolateral prefrontal, ventrolateral prefrontal and orbitofrontal regions), superior parietal, lateral temporal, lateral occipital, and anterior and posterior cingulate. Partial volume correction accounting for both GM atrophy and white-matter spillover was performed using a three-compartment approach with PMOD version 3.1 software (PMOD Technologies, Zurich, Switzerland). To establish whether either 18F-florbetaben or 18F-THK523 retention in the PSP patient was different from age-matched controls, a Z-score was generated for both global and regional retention. The respective Z-scores were generated against ten healthy controls who had 18F-florbetaben studies and ten healthy controls who had 18F-THK523 studies. Conservative Z-scores greater than 1.5, indicating just 1.5 standard deviations (SDs) from the mean of the control participants, were considered abnormal.
Patient demographics a
No. of patients
Mean age (SD), years
Mean PMI (hours)
72.9 ± 6.7
22.8 ± 8.8
73.2 ± 4.6
37.2 ± 18.6
75.4 ± 7.1
47.0 ± 5.2
Assessment of THK523 binding/fluorescence in non–Alzheimer’s disease tauopathies
Assessment of THK523 binding/fluorescence in Parkinson’s disease
In the present study, we further characterized 18F-THK523 as a selective tau imaging agent by testing its ability to recognize the various morphological conformations of tau in a wide spectrum of tauopathies. Whilst in our previous studies we determined that THK523 binds selectively to NFTs in preference to Aβ plaques [29, 32], in this study we also assessed 18F-THK523 binding to other β-sheet structured protein fibrils, namely, α-synuclein-containing Lewy bodies.
Given the morphological and ultrastructural diversity of tau aggregates, it may be unlikely that a single tau imaging agent could be useful for the diagnosis of all tauopathies. In the first instance, tau comprises six isoforms distinguished by their length and number of repeats (R) of microtubule binding domains [6, 42]. AD tau comprises an equal ratio of the 3R and 4R isoforms, which mainly appear as NFTs. The 4R isoform predominates in PSP with tau aggregates comprising tufted-shaped astrocytes, GTs and oligodendroglial coiled bodies [43, 44]. Despite also being a 4R tauopathy, in CBD the tau inclusions appear as astrocytic plaques, neutropil threads and tau pretangles . PiD, a 3R tauopathy, is diagnosed by the presence of ‘Pick bodies’, tau-positive intraneuronal inclusions . Moreover, these tau aggregates are further differentiated by their ultrastructure. NFTs are predominantly composed of paired helical filaments (PHFs), tau inclusions in PSP and CBD are composed predominantly of straight tau filaments (SFs) and twisted tau filaments (TFs) , whereas Pick bodies comprise a combination of TFs and random coiled tau filaments . It is noteworthy that, whilst PSP and CBD share SFs, the size of the filaments is significantly different . Despite this diversity, a recent report describing a novel class of tau tracers phenyl/pyridinyl-butadienyl-benzothiazoles/benzothiazoliums (PBB) demonstrated binding to a variety of tau deposits in fluorescence studies of AD, CBD and PSP brain sections . Additionally, that study also demonstrated positive [11C]PBB3 PET scans in both AD and CBD patients .
Given the evident differences in THK523 staining, the fluorescence microscopy studies we present herein demonstrate that THK523, even at the very high concentration of 100 μM, does not bind to non-PHF-tau aggregates. The existence of a THK523 binding site on PHFs that is absent in the other conformations is further emphasized by previous computerized cross-sectional and fragmentation studies which indicated that, whilst these types of filaments share a similarly shaped morphological unit, the filament arrangement is different .
PHFs appear as two filaments twisted around one another with a cross-over repeat of 80 nm and an apparent width varying between about 10 nm and 22 nm . The resulting aggregate exhibits an amyloid structure characterized by a β-sheet network forming the heart of the protofibril network. This ultrastructural property shared with Aβ and α-synuclein aggregates sometimes results in the nonselective binding of imaging agents . As noted previously , in addition to THK523’s binding to NFTs, our fluorescence studies obtained at high tracer concentrations—10,000-fold higher than the concentrations typically achieved during a PET scan—demonstrated inconsistent THK523 staining of Aβ plaques. THK523 stained the dense core of some Aβ plaques in the frontal cortex of AD sections but did not stain dense Aβ plaques in the hippocampus (Figure 1, right panel). It is noteworthy that variable staining of NFTs at high concentrations of PiB has also been reported . In addition to previous reports of in vitro studies [29, 30], several lines of evidence support the notion that THK523 selectively binds to PHF-tau and does not bind to Aβ in vivo: (1) Cortical THK523 retention is significantly higher in AD; (2) THK523 retention follows the known distribution of PHF-tau in the AD brain; (3) PiB and THK523 show different brain regional distribution patterns; (4) hippocampal THK523 retention significantly correlated with cognitive parameters, but hippocampal PiB retention did not; and (5) hippocampal THK523 retention significantly correlated with hippocampal volume, but hippocampal PiB retention did not .
The selectivity of THK523 for tau over other β-sheet aggregated proteins was further demonstrated by fluorescence microscopy studies showing the absence of THK523 fluorescence in brain sections exhibiting immunolabelled α-synuclein-containing Lewy bodies (Figure 5, right panel).
The PSP patient showed neither 18F-THK523 nor 18F-florbetaben retention in the brain, suggesting the absence not only of Aβ plaques but also of tau deposits. Neuropathological examination of the brain confirmed the absence of Aβ plaques; however, typical tau lesions were present in different brain regions that were not stained by THK523. Given the ultrastructural diversity of tau aggregates, the information derived from these THK523 studies is highly valuable for the future design of tau imaging ligands.
In the present study, we have demonstrated that THK523 selectively binds to PHF-tau with negligible binding to PSP, CBD and PiD tau aggregates, as well as to Aβ and α-synuclein aggregates. The results of this study also show that novel tracers that bind to non-PHF tau aggregates are needed.
Clinical Dementia Rating Scale
Clinical Dementia Rating Scale–Sum of Boxes
Frontotemporal lobar degeneration
Mini Mental State Examination
Positron emission tomography
Pittsburgh compound B
Progressive supranuclear palsy
Region of interest
Standardised uptake value
We thank Fairlie Hinton and Geoff Pavey from the Victorian Brain Bank Network (VBBN) for sourcing and preparing the human brain tissue (HREC University of Melbourne 9414748). The VBBN is supported by The Florey Institute of Neuroscience and Mental Health, The Alfred and the Victorian Forensic Institute of Medicine, and it is funded by Australia’s National Health & Medical Research Council (NHMRC) and Parkinson’s Victoria. The research was supported in part by Alzheimer’s Drug Discovery Foundation Research Grant 20101208 AFTD and NHMRC project grant 1044361.
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