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Perspective
Tau PET Imaging: Past, Present and Future Manuela Ariza, Hartmuth C. Kolb, Dieder Moechars, Frederik J.R. Rombouts, and José-Ignacio Andrés J. Med. Chem., Just Accepted Manuscript • DOI: 10.1021/jm5017544 • Publication Date (Web): 11 Feb 2015 Downloaded from http://pubs.acs.org on February 15, 2015
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Tau PET Imaging: Past, Present and Future Manuela Ariza,a Hartmuth C. Kolb,b Dieder Moechars,c Frederik Rombouts,a and José Ignacio Andrésd,* a
Janssen Research and Development, Neuroscience Medicinal Chemistry, a division of Janssen
Pharmaceutica NV, Turnhoutseweg 30, B-2340 Beerse, Belgium. b
Janssen Research and Development, Neuroscience Biomarkers, 3210 Merryfield Row, San
Diego, CA 92121. c
Janssen Research and Development, Neuroscience Discovery Biology, a division of Janssen
Pharmaceutica NV, Turnhoutseweg 30, B-2340 Beerse, Belgium. d
Janssen Research and Development, Discovery Sciences, a division of Janssen-Cilag, Jarama
75, 45007 Toledo, Spain.
KEYWORDS. PET Imaging, PET Ligands, Tau protein, Neurofibrillary tangles, Alzheimer’s Disease.
ABSTRACT. Alzheimer’s Disease (AD) is a chronic neurodegenerative disorder and the most common cause of dementia among the elderly population. The good correlation of the density and neocortical spread of Neurofibrillary tangles (NFTs) with clinical AD disease progression offers an opportunity for the early diagnosis and staging using a non-invasive imaging technique such as Positron Emission Tomography (PET). Thus, PET imaging of NFTs holds promise not just as a diagnostic tool, but it may also enable the development of disease modifying
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therapeutics for AD. In this Perspective, we focus on the structural diversity of tau PET tracers, the challenges related to the identification of high affinity and highly selective NFT ligands, as well as recent progress in the clinical development of tau PET radioligands.
1. Introduction Alzheimer’s Disease (AD) is a chronic neurodegenerative disorder and the most common cause of dementia among the elderly population, which is characterized by memory loss, spatial disorientation and cognitive impairment.1,2 In a constantly growing aging population, AD has become a major public health burden.3 Thus far only symptomatic treatments have been developed, which are able to slow the progression of cognitive decline only temporarily. Considerable progress has been made by numerous groups and organizations to understand the pathogenic mechanisms underlying AD, resulting in a number of promising disease modifying therapeutic approaches that are currently under development and clinical evaluation.4 Multiple factors are considered to be involved in the pathogenic mechanism leading to AD, such as age, genetic make-up, environmental factors, head trauma, depression, diabetes mellitus, hyperlipidemia and vascular factors.5 Apart from the intrinsic complexity of AD, the development of a cure for AD has been hampered by the lack of reliable tools for early diagnosis, staging and accurately monitoring disease progression. According to the new reviewed criteria and guidelines for diagnosing AD proposed by the National Institute on Aging (NIA) and the Alzheimer’s Association in 2011, three different stages have been accepted:6-9 1) Preclinical Alzheimer’s Disease, characterized by early brain changes without noticeable physical or clinical symptoms; 2) Mild Cognitive Impairment (MCI) due to Alzheimer’s Disease, outlined by very mild symptoms without affecting activities of daily living; and 3) Dementia due
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to Alzheimer’s Disease, described by important memory and behavioral symptoms that hamper regular life. The initial neuropathological changes in the brain are thought to begin 20 years or more before symptoms appear in AD, which is in accordance to Braak and Braak stages,10,11 and during this period, individuals are able to function normally. The long duration of this pre-symptomatic phase offers an opportunity to elucidate the link between the pathophysiological process of AD and the emergence of the clinical disorder, which could allow both the early diagnosis and early intervention with a disease-modifying therapy. To date, the diagnosis of AD can only be confirmed by postmortem histological analysis of human brain samples.12 Postmortem studies of AD brains reveal two pathological hallmarks of AD: 1) senile plaques (SPs), composed by amyloid (Aβ) peptides, and 2) neurofibrillary tangles (NFT) that are composed of paired helical filaments (PHF) of hyperphosphorylated aggregated tau protein.13 Aβ peptide deposits are commonly found outside neurons in the brain while the tau protein tangles are formed inside the neurons, but eventually end up in the intercellular space after neuronal death.14 Currently, the clinical diagnosis of AD is based largely on history and statistical memory testing such as DSM-IV-TR15 (the Diagnostic and Statistical Manual of Mental Disorders) and NINCDS-ADRDA15 (the National Institute of Neurological Disorders and Stroke-Alzheimer Disease and Related Disorders). However, these examinations require clear evidence of impairment or dementia and are often inaccurate or insensitive due to the difficulty to distinguish AD from age-related cognitive decline.
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Measurement of Aβ peptides and total tau protein levels in cerebrospinal fluid (CSF) has been presented as a complementary useful tool in the diagnosis and monitoring of AD by the European Medicines Agency (EMA).16,17 However, CSF sample collection by lumbar puncture is invasive and may lead to adverse events.18 Modern imaging techniques are non-invasive and may be used to identify patients at risk of developing AD and/or monitor disease progression.19-21
Specifically, Positron Emission
Tomography (PET) is a sensitive molecular imaging technique that enables in vivo and in situ non-invasive visualization, characterization and quantification of physiological processes at the cellular or molecular levels.22 As such, PET has become an extremely powerful diagnostic tool, that is increasingly used in the drug discovery & development process to demonstrate target engagement and monitor disease progression.23,24 Since the deposition of neuritic plaques is one of the pathological hallmarks of AD, a significant effort has been devoted to developing PET imaging probes that visualize Aβ-plaques in vivo in human
brain
(Figure
1).25-29
Pittsburgh
compound
B,
2-[4-
([11C]methylamino)phenyl]benzothiazol-6-ol (1, [11C]-PiB), a thioflavin-T (ThT) derivative, was the first successful Aβ-selective PET radioligand30 and is currently among the most widely used agents for the delineation of Aβ-plaques in the brain.31 However, the short half-life of carbon-11 (11C, t1/2 = 20.3 min) limits the use of 1 to centers that have a cyclotron on-site. For a wider use, tracers with a longer half-life, i.e. fluorine-18 (18F, t1/2 = 109.8 min), have been developed. Significant
examples
include
[18F]fluoroethoxy)ethoxy]ethoxy]phenyl]vinyl]phenyl]-N-methylamine
N-[4-[2(E)-[4-[2-[2-(2(2,
[18F]-Florbetaben,
[18F]-AV-1, Neuroceq®),32 N-[4-[2(E)-[6-[2-[2-(2-[18F]fluoroethoxy)ethoxy]ethoxy]pyridin-3-
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yl]vinyl]pheny]-N-methylamine
(3,
[18F]-Florbetapir,
[18F]-AV-45,
Amyvid®),33
2-[3-
[18F]fluoro-4-(methylamino)phenyl]benzothiazol-6-ol (4, [18F]-Flutemetamol, Vizamyl®),34 and 2-[2-[18F]fluoro-6-(methylamino)pyridin-3-yl]-1-benzofuran-5-ol
(5,
[18F]-AZD4694,
NAV4694).35 Several articles and reviews have been published in recent years discussing the status and advances of this class of PET imaging agents.36-39
Figure 1. Structures of Aβ PET probes for AD. Generally, the density of amyloid plaques in brain tissue does not correlate well with neurodegeneration and cognitive impairment in AD.40 However, amyloid deposits have been shown to accumulate in the brain of individuals at risk of developing AD.41 As a result, amyloid imaging has not been approved for the diagnosis of AD or the measurement of the extent of cognitive impairment, but rather as a diagnostic method for the exclusion of AD in subjects that are cognitively impaired and amyloid PET-negative.42 Currently, it is being evaluated as a diagnostic tool for defining the preclinical stages of AD.41
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In contrast to Aβ-plaques, the density and neocortical spread of NFTs correlate with progressive neuronal degeneration and cognitive impairment,40,43,44 thus making PET imaging of NFTs a desirable biomarker for AD. Recent findings provide additional support for the central role of tau in the pathogenesis of AD,43,45 supporting this protein both as a diagnostic and therapeutic target.46 For instance, imaging NFTs may allow the early detection of disease, possibly even before the onset of cognitive symptoms, as well as pre-symptomatic staging. PET imaging of NFTs, especially when done in conjunction with amyloid diagnosis, may also provide a means for distinguishing between AD and non-AD dementias: the absence of NFTs and amyloid would provide support for the latter diagnosis, while the presence of NFTs and amyloid would support for the former. For the research audience, NFT imaging provides insights into the relationships between tau aggregate accumulation and spread as a function of time, cognition and brain structure, across the continuum from normal aging to AD, and to investigate the effect of disease-modifying therapies on tau aggregation. Consequently, the development of radiotracers for tau aggregates has been pursued by numerous academic and industrial groups.47-52 The aim of this article is to chronologically review the progress that has been made in the field of tau aggregate imaging, from a Medicinal Chemistry perspective, as well as the recent evolution in the development of selective tau PET radioligands currently undergoing clinical evaluation, starting with an overview of the structural characteristics of tau aggregates and requirements that a suitable tau PET ligand must fulfill. 2. The Structure of Aggregated Tau The protein tau belongs to a large family of microtubule-associated proteins (MAPs) and is mainly localized in the neuronal axons. The best described biological function of tau protein is
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the binding to tubulin to stabilize and control the polymerization of microtubules, which is critical to maintain cell shape, axonal transport and the neurotransmission machinery.53 Knowledge of the molecular structure and composition of tau protein is essential for the understanding of the protein self-assembly leading to the pathological tau aggregates and could allow for the rational design of NFT radiotracers. In human brain, six tau isoforms have been identified that arise from alternative mRNA splicing of a single gene composed of 16 exons located on the chromosome 17q21.31.54,55 The presence or absence of exon 2, exon 3 and exon 10 manifested in the protein constitute the main differences in these six isoforms. Exons 2 and 3 encode the insertion of 29-aminoacids in the Nterminus (called N), thus tau isoforms may have 2N (both exons inserted), 1N (only exon 2) or 0N (neither). Likewise, exon 10 encodes a 31-aminoacid stretch in the C-terminus, which is commonly known as the microtubule-binding repeat/domain (R). Hence, tau isoforms may be comprised of four repeated microtubule-binding domains called four repeat tau (4R, exon 10 included) or three repeated microtubule-binding domains called three repeat tau (3R, exon 10 excluded). Accordingly, the six tau isoforms are [4R 2N], [4R 1N], [4R 0N], [3R 2N], [3R 1N] and [3R 0N], of which the isoform [3R 0N] is expressed in fetal brains (Figure 2).56 Adult human 4R isoforms have been shown to be better at promoting microtubule assembly than the fetal 3R isoforms. In healthy human brains, there is an equal 4R/3R ratio and the alteration of this equilibrium is the underlying pathogenic mechanism of a certain clinical mutation in tau associated with FTLD-17.57 It is important to note that tau is a natively unfolded protein lacking a well-defined 3D structure. However, X-ray, Fourier transform infrared (FTIR) and circular dichroism (CD) studies suggest that the N- and C-terminal domains are folded to form a ‘paper clip’ conformation (Figure 2).58
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Additionally, nuclear magnetic resonance (NMR) measurements revealed regions with transient secondary structure (α-helix, β-strand and polyproline II).59 Further studies have demonstrated that tau protein contains isolated short peptide motifs localized at the beginning of repeat domains R2-R4. Indeed, two of such motifs, called PHF6* (VQIINK) and PHF6 (VQIVYK), have a high tendency for β-structure formation and they play a crucial role in microtubule interactions but also in the tau aggregation process,60,61 which clearly illustrates the close relationship between physiological and pathological functions of tau. A protective effect against tau aggregation of the paper clip conformation has been postulated by shielding the hexapeptide motifs.58
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Figure 2. Schematic representation of the human tau protein. A) Six human tau isoforms (reproduced with permission from [62]). B) Paper clip conformation (illustration based on [58]).
Apart from the primary structure diversity, tau protein is subject to several post-translational modifications such as glycosylation, phosphorylation, nitration, acetylation or ubiquitination, of which phosphorylation is considered the most common and important modification. Whereas phosphorylation is essential for the normal protein function under physiological conditions, abnormalities in tau phosphorylation have been proposed to play a crucial role in tau aggregation.62 In fact, under pathological conditions in AD, higher concentrations of tau protein appear dissociated from microtubules, becoming more prone to hyperphosphorylation. This abnormally hyperphosphorylated tau is able to bind to normal tau protein disrupting the usual microtubule network and promoting self-assembly into filaments and NFTs.63 Aggregation of tau is characteristic of different neurodegenerative diseases known as ‘tauopathies’.64 Although the most prevalent is AD, they additionally include tangle-only dementia (TD), argyrophilic grain disease (AGD), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), Pick disease (PiD) and frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17). The heterogeneity of these disorders is closely related to the wide-range of human tau isoforms and post-translational modifications. Indeed, tau aggregates may appear ultrastructurally as paired helical filaments (PHF), straight filaments (SF), randomly coiled filaments (RCF) or twisted filaments (TF). This variability translates into polymorphism, whereby either the same tau isoform adopts different conformations and tau aggregate ultrastructure, or different isoforms appear with the same
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ultrastructure. For example, in AD and TD tau inclusions appear as both 4R and 3R isoforms in the shape of NFTs, whereas 3R isoforms predominate in PiD as Pick’s bodies in the shape of RCFs and SFs. In CBD, tau deposits are found as astrocytic plaques composed of 4R tau isoform in the form of SFs and TFs.65 Recent studies of the ultrastructure of the tau fibrils in AD brains showed that the core of NFTs is composed of hyperphosphorylated tau filaments in the form of PHF which were found to be a twisted double-helical fibril with a crossover repeat of ~80 nm and a width varying between 8 and 20 nm.66 The region around the hexapeptide motifs exhibits three major β-strands in a crossβ conformation, which constitutes the rigid core of the fibril. In addition, the tau fibril core is stabilized by the formation of distinct salt bridges as well as by hydrophobic and π-stacking interactions.67 Even though structure determination of PHF cannot be achieved with present techniques, the structure of the amino-acid 386 to 391 core of the C-terminal tail has been elucidated by using conformation-dependent monoclonal antibodies.68 This
386
TDHGAE391
fragment was isolated and crystallized from PHFs in a complex with the antibody MN423 (Figure 3).69
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Figure 3. 3D structure of the 386TDHGAE391 core of the PHF C-terminus.69
It is also noteworthy that the occurrence of each of the six tau isoforms is highly variable along different species. For instance, both rats and mice are characterized by the complete absence of tau isoforms with three tubulin binding regions, while both 4R and 3R tau isoforms are expressed in pigs, although only four out of the six possible isoforms are found.70 Tau research benefits from the availability of pre-clinical in vivo models, such as transgenic tauopathy mouse models,71,72 most of which are based on the overexpression of the known MAPT mutations discovered in FTDP-17 patients or expression of the 6 isoforms of wild type tau.73 More recently, tauopathies have been induced by injection of tau aggregates into the brains of experimental animals, providing support for a prion-like seeding mechanism.74
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3. Properties of a Tau PET Ligand The ideal PET radioligand for brain imaging is almost exclusively a small molecule (MW < 500), which must fulfill a wide range of requirements that have been reviewed on multiple occasions.24,75-78 First of all, a suitable CNS PET ligand must show high affinity and selectivity towards its biological target, and this binding needs to be reversible to ensure that equilibrium is reached quickly enough to image the subject. The density of the target in the brain region of interest is an important factor for consideration, and in this respect the maximum concentration of target binding sites (Bmax) is key, as it has a direct impact on the level of affinity (Kd) required for a successful radiotracer, most usually in the low nM range. It is generally accepted that the ratio Bmax/Kd should be ≥ 10.79 Importantly, a CNS PET radiotracer should be able to cross the blood brain barrier (BBB), and hence should not be a substrate for efflux transporters. At the same time it should exhibit low non-specific binding, in order to avoid attenuation of the signalto-noise ratio due to undesired binding to brain tissue. An adequate balance between lipophilicity and fraction of radiotracer that is freely available in plasma is required, and in general a free fraction of the tracer in plasma of > 5% and log D values ranging from 2 to 3.5 are considered optimal.75 However, there may exist exceptions to these two general rules, provided that the dissociation from plasma proteins occurs fast enough to ensure that sufficient concentration of radiotracer is available for an adequate brain uptake.80,81 Ideally, a CNS PET ligand does not form BBB permeable radioactive metabolites, which would complicate the efficient quantification of the PET imaging data due to signals stemming from the parent radiotracer and the radiometabolite(s). In the case of
18
F radiolabeled PET ligands,
extensive defluorination should be prevented as it would lead to high signals from bones and skull, which would thwart accurate measurement of cortical uptake. A suitable brain
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pharmacokinetic profile, i.e. observable brain uptake and washout kinetics, is also a must for a successful CNS PET tracer.75 Finally, PET ligand candidates must be synthetically accessible using quick (within 3 half-lives) and efficient (enough radiochemical yield and specific activity) processes, due to the short half-lives of the two most widely used positron emission radionuclides, 11C (half-life = 20.4 min) and 18F (half-life = 109.7 min). PET imaging of NFTs in human brain presents a number of specific challenges.40,51 First of all, the tracer needs to discriminate PHF-Tau from the other β-sheet-structured aggregates present in Alzheimer’s brain, i.e. amyloid plaques. Structural similarity aside, amyloid aggregates different from tau aggregates are also in the order of 5-20 fold more abundant in brain than tau aggregates,40 and are co-localized in certain brain regions. Furthermore, recently it has been reported that α-synuclein-containing aggregates are abundant in AD, hence tau PET tracers should be selective over these protein aggregates as well.82,83 In addition, given the intracellular localization of tau, the radiotracer must be able to cross not just the BBB, but also the cell membrane. Furthermore, since tau aggregates are present also in white matter, a tau PET ligand should be devoid of non-specific binding in this brain area. Finally, although the structural variability displayed by tau protein might be an advantage for the differential diagnosis of tauopathies, selective discrimination among different forms of aggregated tau offers an additional challenge for a PET ligand due to similarities in isoform composition, posttranslational modifications and β-sheet structure. 4. Tau PET Ligands Non-selective β-sheet binders, such as thioflavin T (ThT) have been instrumental to the discovery of specific tau aggregate binders. Since Aβ-plaques and other amyloid aggregates and
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NFTs share a similar β-sheet structure, it is not surprising that structural similarities exist between imaging agents for both species. The structural diversity of tau protein and its aggregates as well as their post-translational modification has thwarted the systematic evaluation of potential binding sites for a PET ligand using crystal structure or bioinformatical methods. For this reason, compound screening approaches were utilized for ligand discovery, guided by the hypothesis that fused aromatic systems are more likely to interact with the β-sheet fibrillar aggregates present in PHF-tau. These efforts led to the discovery of leads based on benzothiazoles, benzimidazoles, benzoxazoles, naphthalenes and quinolines. Compound screening is generally based on competitive in vitro assays using either synthetic heparin-induced tau polymers (HITP), or post-mortem AD human brain homogenates (ADPHFs) or sections. HITP are composed only of 3R and/or 4R tau, and are unlikely to have similar hyperphosphorylation or glycated or ubiquitinated residues as the native AD-PHFs. Furthermore, HITPs and AD-PHFs differ with respect to the structure and variability in twist in the observed Tau filaments.84 Such differences could be the reason why screening campaigns based on synthetic HITP have not been very successful for identifying ligands for native AD-PHF tau.67,70 Assays based on native protein, as found in brain homogenates or brain slices from AD patients, have yielded the most promising tau ligands.47-51 Up to our knowledge there are not any reports providing a systematic SAR analysis on the features that are required to achieve tau selectivity over amyloid aggregates. Only a few of the papers describing tau ligands discuss briefly the SAR around the respective chemical series,47 but do not provide any robust conclusions.
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4.1. Lead Compounds One of the earliest ligand screening campaigns targeting tau aggregates for PET tracer discovery was performed by Okamura et al. in 2005.85 In this study, more than 2,000 small molecules were tested, which resulted in the discovery of quinolines and benzimidazoles leads, such as 6 (BF126), 7 (BF-158) and 8 (BF-170) (Figure 4).85 Structurally, compound 6 resembles 1, with the benzothiazole core being replaced by benzimidazole and a carbon-carbon double bond spacer being inserted between the planar aromatic ring and the aniline-like substituent at position 2. Compounds 7 and 8 also carry an aniline moiety, which is directly attached to a quinoline ring at the 2-position. In vitro fluorescence binding affinity assay data as well as neuropathological staining results suggested quinolines 7 and 8 to be better tau ligands than the benzimidazole 6, yet all compounds showed a relatively low selectivity over amyloid plaques (Table 1). Additionally, compounds 6, 7 and 8 were unable to bind to tau present in non-AD tauopathies such as PiD and PSP. Compound 7 was radiolabeled with
11
C for in vitro autoradiographic
studies, which confirmed the accumulation of this tracer in tangle-rich brain regions. Biodistribution studies of 11C-7 in mice showed good brain uptake (11.3 % ID/g at 2 min postinjection) but rather slow clearance from the brain (3.1 % ID/g at 30 min post-injection). Despite their low affinity (EC50 > 200 nM) and high non-specific binding, these compounds first highlighted the potential utility of quinolines and benzimidazoles as tau PET radioligands in AD.85 A subsequent screening campaign of 72,455 compounds with the aim of distinguishing tau aggregates from Aβ plaques was performed by Kuret et al. in 2007.86 This effort identified phenyldiazenyl benzothiazole (PDB) derivative 9 with only two-fold selectivity for tau tangles over amyloid. Compound 9 is structurally very similar to 6, and a benzimidazole replaces the
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benzothiazole and a diazo group the carbon-carbon double bond. Based on these structures, Matsumura et al. developed two novel PDB agents by substituting the methoxy group with iodine-125 (10,
125
I-PDB-3)87 and by replacing it with a fluoro-polyethylene glycol (FPEG)
chain, respectively (11, 18F-FPPDB)88 (Figure 4). Compound 10 showed a clear improvement in binding affinity to synthetic tau aggregates (Ki = 0.48 nM) and selectivity over amyloid plaques. However, unfavorable pharmacokinetics made this compound unsuitable for imaging NFTs in vivo probably due to the high lipophilicity (log P = 3.84, Table 1). The fluoro-PDB analogue 11 with a lower log P of 2.05 demonstrated improved pharmacokinetics, increased initial brain uptake and accelerated clearance versus 10, however affinity and selectivity were compromised (Table 1).
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2
2
11C-BF-158
(7): R1 = H, R2 = 11CH3 BF-170 (8): R1 = R2 = H
BF-126 (6)
9: R = OMe 125 I-PDB-3 (10): R = 125I 18F-FPPDB (11): R = (OCH CH ) 18 2 2 3 F
BF-188 (13)
125I-ISBIM-3
(12)
Lansoprazole (15): R = H Methyl-Lansoprazole (17): R1= 11CH3, R2 = F 18 F-Methyl-Lansoprazole (18): R1 = CH3, R2 = 18F
Astemizole (14): R = 11CH3 16: R = (CH2)218F Figure 4. Structures of benzimidazoles 6, 12-18; quinolines 7-8; benzothiazoles 9-11.
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The substitution of the benzothiazole scaffold by a benzimidazole ring proved an effective strategy to reduce lipophilicity, as expected from the lower calculated logP for an unsubstituted benzimidazole ring than for an unsubstituted benzothiazole ring (clogP = 1.57 versus 2.08, using Daylight software and Biobyte). Thus, radioiodinated styrylbenzimidazole derivatives similar to compound 10 were synthesized with the goal of reducing the non-specific binding.89 Although clearance was improved (0.33% ID/g at 60 min post-injection), the best candidate, 12 (125IISBIM-3)89 (Figure 4), did not display sufficient potency nor Aβ/Tau selectivity (2.73 fold), which may not be surprising, given the close structural similarity with the previously reported compound 6. More recently, the butadienyl benzimidazole derivative 1390 was identified as a modestly tau selective multispectral fluorescent imaging (MSFI) probe, which gives different fluorescent spectra when bound to tau or Aβ fibrils (Figure 4, Table 1). Although 13 was specifically developed for fluorescence-based imaging, it is an equally promising lead for the development of new tau PET probes. Besides the planar aromatic bicycle, compounds 6-13 are characterized by the presence of an aniline terminus either directly linked to the aromatic ring or via a sp2 hybridized 2 or 4 atom spacer. Interestingly, the aniline moiety is also present in previously reported Aβ ligands, which may explain the low selectivity achieved with those compounds and illustrates the challenge in differentiating between both fibrillar proteins. The binding characteristics of the benzimidazole drugs Astemizole (14) and Lansoprazole (15) to aggregated tau were recently reported by Rojo et. al (Figure 4, Table 1).91 Compound 14 appears to have high affinity for both HITP and AD-PHF tau, although no selectivity over Aβ plaques
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and only minor brain uptake and clearance were observed. The latter is likely due to the fact that 14 is a substrate of the ATP-dependent efflux transporter p-glycoprotein (P-gP) in rats, which may limit its utility as a human PET tracer as well. Table 1. LogP, affinity for tau, selectivity Aβ/Tau and brain uptake for compounds 6-15, and 1720.
Tau Affinity (nM)
Brain Uptake (% ID/g) Selectivity
Compound
LogP
HITP
AD-PHF
Tau/Aβ β
2 min
30 min
60 min
6
1.09
EC50 = 583
N/A
2.20a
7.2
0.16
N/A
C-7
1.67
EC50 = 399
N/A
1.60a
11.3
3.1
N/A
8
1.85
EC50 = 221
N/A
3.50a
9.1
0.25
N/A
9
N/A
EC50 = 83
N/A
1.70a
N/A
N/A
N/A
I-10
3.84
Ki = 0.48
N/A
17.20b
0.94
N/A
2.89
F-11
2.05
Ki = 13.0
N/A
1.54b
4.28
N/A
2.53
I-12
N/A
Kd = 300
N/A
2.73c
3.28
N/A
0.33
13
N/A
Ki = 3.9
N/A
1.60b
4.8
0.12
N/A
C-14
5.57
Kd = 1.86
Kd = 13.4
1.13c
N/A
~6 x 10-3
~8 x 10-3
15
1.47
Ki = 2.5
Ki = 833.3
N/Ab
N/A
~3 x 10-3
~2.7 x 10-3
C-17
2.18
Kd = 0.7
N/A
11.7c
N/A
~0.1
~0.05
11
125
18
125
11
11
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18
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I-19
N/A
Ki = 64
N/A
7.33b
1.54
0.70
0.25
F-20
N/A
N/A
N/A
N/A
6.50
2.83
2.35
Selectivity Tau vs Aβ. LogP values are the partition coefficient (octanol/water) measured for each compound as reported in the respective references: a EC50 (Aβ)/EC50 (Tau); b Ki (Aβ)/Ki (Tau); c Kd (Aβ)/Kd (Tau).
Nevertheless, several radioactive derivatives were synthesized by
11
C-methylation or
18
F-
alkylation of the p-hydroxy phenyl position (16), but it proved impossible to overcome the pharmacokinetics and permeability issues.92 Unlike 14, compound 15 displayed higher affinity for HITP than for AD-PHF tau protein, probably due to differences in the structure of induced tau fibrils and human isolated tau aggregates. Despite the low AD-PHF tau affinity, the low permeability and lack of selectivity, several radioactive derivatives of 15 were prepared, e.g. 11C1793 and
18
F-18.94 Both tracers display excellent affinity to HITP, and preliminary studies with
transgenic mice expressing human AD and PSP tau revealed their promise as tau PET probes.93,94 Additionally, autoradiography staining with human AD brain sections co-localized with tau immunostaining, but not with amyloid plaques, yet white-matter non-specific binding was observed as well. In vivo metabolic studies of
11
C-17 in rodents and non-human primates
showed the presence of a single polar radioactive metabolite that is likely the hydroxyl or sulfone derivative, in accordance with the known metabolism of lansoprazole. It is important to note that both radiotracers are substrates for the rodent P-gP transporter but not for the corresponding primate P-gP transporter. This suggests a potential utility of these compounds in humans, although additional studies are clearly needed.
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The growing interest for imaging tau aggregates in human brain and the need to find a more potent and selective ligand, has spurred a quest for structurally different compounds from the ones originally reported. For example, compounds 1995,96 and 2097,98 (Figure 5) were considered as tau PET tracers when studying the effect and properties of similar compounds as potential tau aggregation inhibitors.99-101 Compound 19 is a thiohydantoin derivative linked via rigid Zmethylidene to a 5-phenylfuryl group at the 5-position, and a flexible 2-(1H-imidazol-4-yl)ethyl chain at the 1-position. Even though the affinity and selectivity of compound 19 were moderate (Table 1), autoradiography and immunohistochemical studies in sections of human AD brain show that this tracer binds to tangle-rich brain regions.95 Brain section staining experiments suggest that 7-aminothieno[3,4-d]pyridazin-1(2H)-one (20) is able to discriminate NFTs from Aβ plaques. A biodistribution evaluation of 20 in normal mice revealed relatively rapid brain uptake and clearance (Table 1). However, additional studies are needed to test the utility of 20 as a tau PET ligand, such as the determination of the binding affinity for NFTs and Tau/Aß selectivity. A recent Hoffman-La Roche patent application claims imidazo[2,1]thiazol-3-one derivatives102 (21, Figure 5) as potent (Ki (HITP tau) ~ 0.010 nM) and exceptionally selective tau aggregate binders (Tau/Aβ ~ 100-1000 fold), suggesting that they have potential as tau PET tracers. Structurally, these derivatives are similar to the thiohydantoin compound 19, and it is interesting to note the highly polar phenolic terminus on one side, and a lipophilic aromatic terminus on the opposite side. Previous studies with amphiphilic molecules had suggested that it may be possible to increase potency and selectivity by incorporating lipophilic and hydrophilic features in the same compound.103 However, the true potential of this chemical class has yet to be shown, since the affinity and selectivity in human AD brain has not yet been disclosed. These compounds
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might be the subject of a recently registered clinical Phase 1 study on the “Evaluation of [11C]RO6924963, [11C]RO6931643, and [18F]RO6958948 as Tracers for Positron Emission Tomography (PET) Imaging of tau in Healthy and Alzheimer's Disease Participants”,104 which does, however, not disclose the exact chemical nature of the test compounds.
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5
125I-TH2
18F-ATPZ-38
(19)
Imidazo[2,1]thiazol-3-ones (21)
18F-SKT04-137
(20)
Bis(aryl)urea azaindole (22)
(23)
Bis(arylvinyl)pyrimidines (24)
18F-FDDNP
(25)
Figure 5. Diverse tau PET ligands: structures of compounds 19-25.
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Several additional scaffolds have been proposed in recent years as potential tau imaging agents, such as bis(aryl)urea azaindole 22, developed by Merck105 or SKT04-137 (23) by Wista Laboratories LTD,106 bearing an urea or an amide moiety, respectively, as linkers between two aromatic partners. Bis(arylvinyl)pyrimidines such as 24107 are characterized by a linear πconjugated symmetric structure having two styryl moieties bound to a pyrimidine central core. This compound displayed good affinity (IC50 (HITP tau) = 2 nM) and selectivity (26 fold), although no pharmacokinetic studies assessing brain penetration have been reported. Finally, the naphthalene derivative 2-[1-[6-[N-(2[18F]-fluoroethyl)-N-methylamino]naphthalen-2yl]ethylidene]malononitrile (25,
18
F-FDDNP) is an older radioligand, first described as a
potential PET tracer for Aß and NFTs by Barrio et. al. in 1999.108 Although the authors have touted the potential efficacy of 25,109-112 the apparently low affinity for amyloid structures113 and the low Aß/Tau selectivity of 25 is likely to limit its utility as a PET tracer. Different studies reported with this radioligand have been covered in several recent review articles.40,47,50,51 4.2. Selective Tau Binders Evaluated in Human Subjects Recently, considerable progress in the development of high-affinity, tau-selective ligands has been made independently by three groups: the Tohoku University/Austin Hospital group, led by N. Okamura, has described a series of 18F-labeled THK compounds; the Chiba group, led by M. Maruyama and H. Shimada, has described a new series of 11C-labeled PBB compounds; and the Siemens group, led by H. Kolb, has reported two
18
F-labeled compounds, which are now being
developed by Avid/Lilly. 4.2.1. THK compounds
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The THK tau imaging probes comprise a family of arylquinolines first reported by Okamura et al.
after
structural
optimization
of
lead
compounds
7
and
8.85
4-[6-(2-
[18F]Fluoroethoxy)quinolin-2-yl]phenylamine (26, THK-523)114 was the first candidate described with good affinity for synthetic tau fibrils and reasonable selectivity over amyloid plaques (Table 2). The introduction of an alkyl ether at the 6-position of the arylquinoline not only allowed introduction of
18
F, but was also accompanied by an improvement in affinity and selectivity
compared to the initial hits 7 and 8. Table 2. Binding affinities and pharmacokinetics of compounds 26-28. Brain uptake Tau affinity (nM) (% ID/g) Selectivity Compound
LogP
HITP
AD-PHF
2 min
30 min
Tau/Aβ β Kd1 = 1.67
6
2.40 18
F-THK-523 (26)
Kd2 = 21.74
Kd = 86.50
10a
2.72
1.47
Kd = 2.63
25a
9.20
3.61
Kd = 5.19
30b,*
6.06
0.59
Ki = 59.30 Kd1 = 1.45 3.03
18
Ki = 7.80
F-THK-5105 (27)
2.32 18
Kd2 = 7.40
Ki = 10.50
F-THK-5117 (28) Selectivity Tau vs Aβ. LogP values are the partition coefficient (octanol/water) measured for each compound as reported in the respective references: a Kd (Aβ)/Kd (Tau); b Ki (Aβ)/Ki (Tau); *Unpublished data, AAIC meeting, Copenhagen. 2014.
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Initial in vitro saturation binding studies with 26 suggested two different binding sites,114 and further competition studies revealed the affinity for recombinant tau fibrils to be relatively low (Ki = 59.30 nM, Table 3).115 Unfortunately, the binding affinity for AD-PHF, present in AD brain homogenates, was even lower (Kd = 86.50 nM) than for synthetic HITP, which again demonstrated the shortcomings of synthetic tau preparations. Even though the Tau/Aβ selectivity was initially reported to be 10 fold, based on the synthetic tau affinity data (Kd1 = 1.67 nM), 26 is actually non-selective, based on the other tau binding data.115 Interestingly, in vivo retention of 26 in tau transgenic mice (rTg4510) was significantly higher compared to the analogue model for Aβ plaques (APP/PS1 mice),114 suggesting that 26 may be selective for tau pathology in vivo, with a favorable brain uptake and washout. In vivo PET imaging with 26 showed higher cortical retention in AD patients compared to healthy controls (HC), and the tracer distribution was in agreement with the reported histopathological brain distribution of PHF in AD.116 However, the high white matter retention of 26 hampers a clear visualization of PET scans and consequently precluded its further development. The optimization of the alkyl chain at the quinoline 6-position provided two novel arylquinolines, 1-([2-[4-(dimethylamino)phenyl]quinolin-6-yl]oxy)-3-[18F]fluoropropan-2-ol (27, THK-5105) and 1-([2-[4-(methylamino)phenyl]quinolin-6-yl]oxy)-3-[18F]fluoropropan-2-ol (28, THK-5117).115 Both compounds showed higher in vitro tau affinities than 26 for synthetic HITP tau fibrils as well as for human AD-PHF tau aggregates (Table 2) with Kd values of 2.6 nM (27) and 5.2 nM (28) for the latter. Additionally, 27 and 28 show higher in vitro Aβ/Tau selectivity.
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In vitro autoradiography staining of human AD brain sections showed that the distribution of 27 and 28 in the mesial temporal sections coincided with Gallyas-Braak staining and tau immunostaining but not with the distribution of 1. Compared to 26, both compounds 27 and 28 showed higher contrast of tau pathology, mostly due to their higher affinity and selectivity. The presence of the secondary alcohol again introduces a polar terminus which might explain the higher selectivity observed for 27 and 28 compared to 26. Additionally, in view of the structural similarities of these compounds, mono and di-methylation of the aniline moiety appears to be the reason for the enhanced tau affinity and improved pharmacokinetic profile, with 27 and 28 showing a better brain uptake and washout than 26. First-in-human PET studies of 27 revealed this radiotracer’s ability to differentiate between AD patients and healthy controls.117 Furthermore, the pattern distribution in mesial and lateral lobes of AD patients agrees with the reported NFT distribution in AD brain10 and did not correlate with 11
C-1 retention. These results suggest that 27 is selective for NFT over Aβ plaques, although
non-specific binding to brainstem, thalamus and subcortical white matter hamper data interpretation.118 The relatively slow kinetics and clearance displayed by this ligand compared to other known PET ligands has limited its further use. First-in-human PET studies with 28 are currently underway (Figure 6)52 and preliminary results show faster kinetics and better signal-to-noise ratio than observed for 27, as expected from its higher hydrophilicity and the pre-clinical pharmacokinetic studies. The S-enantiomer has been selected as the clinical candidate based on the faster kinetics and better signal-to-noise ratio than the R-enantiomer (Villemagne et al., unpublished data, AAIC meeting, Copenhagen, July 2014).
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Autoradiography studies with the tritiated ligand 3H-28 in human brain slices exhibited a good correlation with AT8 immunostaining and the Bmax was calculated to be 704 fmol/mg (Lemoine et al., unpublished data, AAIC meeting, Copenhagen, July 2014). Additionally, tracer retentions were associated with severity of dementia and human brain atrophy (Figure 6). In order to further improve the pharmacokinetic properties of arylquinolines, further structural modifications are currently underway.119 Very recently another analogue was reported: 18F-THK5351, which is the 4-methylaminopyridyl- analogue of 28. The authors claim that this new tau PET tracer shows faster kinetics, lower white matter retention and higher signal-to-noise ratio than 27 and 28.51,120
Figure 6. [18F]-28 PET images in mild, moderate and severe AD patients. In the mild AD case, specific 28 binding is confined to the medial, anterior and inferior temporal cortex. The moderate AD case shows additional 28 retention in association areas. The severe AD case shows more
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extensive and higher 28 retention in the neocortex.52 (Reproduced with copyright permission from [52]).
4.2.2. Phenyl-butadienyl-benzothiazole (PBB) compounds A class of phenyl- and pyridyl-butadienyl-benzothiazoles (PBBs) has been identified as potential tau imaging probes by the National Institute of Radiological Sciences (NIRS) in Chiba, Japan (Figure 7).121 These scaffolds are characterized by a π-electron conjugated backbone with a specific extent ranging from 13 to 19 Å, which the authors deem essential for getting selectivity for AD and non-AD tau aggregates. Structurally, the PBB series can be seen as analogues of fluorescent amyloid dye (ThT) in which the two aromatic moieties are spaced with an all-trans butadiene bridge. Taking advantage of the fluorescent properties of PBBs, NFT-like pathology in the brain stem and spinal cord of transgenic mouse models could be visualized ex vivo in both PS19 and rTg4510
strains.
Among
five
different
PBB
compounds,
2-[(1E,3E)-4-[6-(11C-
methylamino)pyridin-3-yl]buta-1,3-dien-1-yl]-1,3-benzothiazol-6-ol (29, PBB3)121 was found to be the best candidate with a good tau affinity in the nanomolar range (Kd (HITP) = 2.55 nM) and selectivity for tau over Aβ (50 fold). This compound exhibited reasonable biostability (unmetabolized compound ~ 20% at 3 min post-injection) and sufficient uptake and clearance from mouse brain.121 Radiolabeling of 29 with
11
C afforded the PET tracer
11
C-29 that yielded superior signals with
less non-specific binding in the brain stem of PS19 mice compared to other tracers. However,
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micro-PET studies seemed to show that Tg4510 mice are better for visualizing tau aggregates with 11C-29 (Higuchi et al., unpublished data, AAIC meeting, Copenhagen, July 2014). Based on these pre-clinical findings in mice, compound
11
C-29 was selected as a candidate for
further evaluation in humans. Despite its relatively fast metabolism in humans, accumulation of 11
C-29 in the medial temporal region of AD patients as compared to controls was demonstrated.
Furthermore, these preliminary results suggested the possibility of capturing the temporospatial spreading of neurofibrillary tau pathologies from the limbic system (Braak stage III/IV) to neocortical areas (Braak stage V/VI). Distribution of from that of amyloid tracer although
11
11
11
C-29 in AD human brains was different
C-1 showing minimal non-specific binding to white matter,
C-29 is accumulated in dural venous sinuses both in control and AD brains.
Additional PET scans using
11
C-29 with a CBD patient exhibited tracer retention in the basal
ganglia, suggesting it could be useful for imaging non-AD tauopathies as well.121 Accordingly, compound 29 appeared to be a promising candidate for in vivo imaging of tau pathology. However, this compound exhibits stability issues, largely due to the rapid interconversion of E/Z isomers in the presence of light (photoisomerization),122 which is a wellknown phenomenon in stilbenes.123,124 This photoisomerization can be largely suppressed by shielding the compound from light during chemical synthesis, radiosynthesis and purification. Metabolite analysis in mouse and human plasma of
11
C-29 revealed a polar radioactive
metabolite.122 The percentage of unchanged 29 was less than 2 % as early as 1 min after injection in mice, although relatively slower in human (29 < 8% at 3 min post-injection). This may explain the lower brain uptake of 29 (1.92 % ID/g at 1 min post-injection) when compared to other radiotracers. One of the key disadvantages of 29 stems from the presence of this undesirable
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radioactive metabolite in mouse which confounds image analysis. Consequently, determination of the metabolic pathway for 29 as well as identification of the metabolite chemical structure is required in order to improve biostability. These additional studies would support the consistency of properties and data previously displayed by 29. As 18F is a more preferred radionuclide than 11C, new fluorinated PBB compounds are currently under investigation, such as 30, which apparently exhibited promising preliminary results. (Higuchi et al., unpublished data, AAIC meeting, Copenhagen, July 2014).
11
Example of fluorinated 18F-PBB3 (30)
C-PBB3 (29)
Figure 7. Structure of 11C-PBB3 (29) and a novel fluorinated 18F-PBB3 derivative (30) 4.2.3. Siemens – Avid/Lilly compounds An in vitro autoradiography screening campaign of human AD brain sections of over 800 compounds at Siemens MI Biomarker Research revealed two lead series, carbazoles and benzimidazoles. Compound optimization eventually provided two novel promising tracers: 7-[6[18F]fluoropyridin-3-yl]-5H-pyrido[4,3-b]indole (31, AV-1451,
18
F-T807)125 and 2-[4-(2--
[18F]fluoroethyl)piperidin-1-yl]pyrimido[1,2-a]benzimidazole (32, AV-680,
18
F-T808).126 As
PET imaging probes, 31 and 32 satisfy all criteria for quantitative imaging of tau pathology, which include high affinity for Tau in the nanomolar range, more than 25-fold selectivity for
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AD-PHF over Aβ, lack of white matter binding and a favorable pharmacokinetic profile (Table 3).127,128 Table 3. Binding affinity and pharmacokinetics of 31 and 32. Brain uptake Tau affinity* (nM) (%ID/g) Selectivity Compound
LogP
AD-PHF
2 min
20 min
Tau/Aβ β
18
1.67
Kd = 14.6
25a
4.16
1.1
N/A
Kd = 22
27a
6.7
2.3
F-T807
(AV-1451, 31)
18
F-T808
(AV-680, 32) * Based on Scatchard plot analysis of autoradiography staining of human AD brain slices, containing PHF-Tau. LogP values are the partition coefficient (octanol/water) measured for each compound as reported in the respective references: a Selectivity Tau vs Aβ: Kd (Aβ)/Kd (Tau).
31 brain section autoradiography comparison with immunostaining demonstrates good agreement with the Tau staining pattern, but not with the ß-amyloid pattern (Figure 8), suggesting that 31 binding co-localizes with Tau but not ß-amyloid. Additionally, a linear correlation was observed between immunostaining-based NFT loads of brain sections from 26
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human donors and the 31-based autoradiography staining intensity. Such a correlation did not exist between 31 and ß-amyloid immunostaining.128
Figure 8. [18F]31 autoradiography on brain sections from different groups and its comparison with PHF-tau and Aβ double IHC.128 [18F]31 co-localized with PHF-tau but not with Aβ plaques. Top: low magnification, bottom: high magnification from the framed areas. Images of PHF-tau (left) and Aβ (right) IHC double immunostaining and autoradiogram image (middle) from two adjacent sections (10 µm) from a PHF-tau rich AD brain (frontal lobe). Fluorescent and autoradiographic images were obtained using a Fuji Film FLA-7000 imaging instrument. Scale bars= 2 mm.
Interestingly, pre-clinical in vivo studies with 31 and 32 using β-amyloid plaque bearing APPSWE-PS19 transgenic mice129 showed no noticeable differences in retention between tau
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transgenic mice and wild-type animals, suggesting that these compounds are specific binders for human aggregated tau, but not the aggregated β-amyloid PHF-tau present in these mouse models. The initial clinical PET scans of 31 with AD and MCI patients and healthy controls showed a radiotracer accumulation in line with the known distribution of PHF in brain according to Braak,130 where increasing neocortical spread was clearly associated with severity of dementia (Figure 9).131
Figure 9. [18F]31 PET images in a healthy subject (left), mild MCI, and mild and severe AD patients. SUVR means the target-to-cerebellum standardized uptake value. The PET data show increasing Tau spread with increasing disease severity. The sensory motor cortex and the
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primary visual cortex (not visible in this projection) are largely spared even in the severe case, in agreement with Braak staging.131,132
The radiotracer displays favorable kinetics with rapid brain uptake and clearance and minimal non-specific binding to white matter as well as cortical gray matter of healthy control subjects.
Figure 10. [18F]31 target-to-cerebellum SUV ratio. SUVR measured from 80 to 100 min post injection images showed the highest cortical tracer retention by the severe AD subject. The increasing neocortical spread detected in the PET scans with increasing dementia severity agrees with the pathology-derived Braak staging system.131
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First-in-human PET studies of 32 showed faster kinetics than 31, matching earlier pre-clinical rodent PET studies. The cortical retention of 31131 (Figure 10) and 32133 were correlated with increasing disease severity. Additionally, post-mortem human brain analysis by fluorescence tau staining of one subject who died after undergoing a PET scan with 32 was consistent with the observed pattern of regional in vivo uptake.134 However, substantial accumulation of
18
F in the
skull, due to metabolic de-fluorination of 32, was observed in some cases, which may hamper PET images and the use of this radiotracer in vivo. For this reason, the more stable 31 was selected for further clinical development. Further in vivo studies of 31 in large groups of AD and non-AD tauopathy patients are currently under way. 5. Conclusions The development of tau PET radioligands complements earlier work on Aß imaging, since it is now possible to detect both pathological hallmarks of AD in living patients. Together, both types of tracer may enable earlier diagnosis of AD, possibly even before cognitive symptoms arise, as well as more accurate staging of this neurodegenerative disease, and differentiation from nonAD dementia. This may pave the way for early intervention with a disease-modifying therapy, which may have a better chance of halting the irreversible neurodegenerative processes. The well-established correlation of the density and neocortical spread of NFTs with memory decline in AD, may provide the basis for tau PET imaging as a means for monitoring disease progression or success of therapy. This may be applicable not only to therapies that target amyloid and concomitant tau pathology in AD, but, importantly, also tau-centric therapies.
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Considerable progress has been made in the development of high-affinity, tau-selective ligands, and three series of tracers, 28 and analogues, 29 and fluorinated derivatives, and 31 are currently undergoing clinical evaluation. The heterogeneity of tau protein aggregates and the fact that the binding site to these is probably ill-defined135 complicates the interpretation of binding data and classification of ligands. For instance, saturation binding studies with
18
F-26 suggested the
presence of two different binding sites.114 Competition binding studies performed at Janssen R&D also suggest that there is an overlap between 29 and 31 binding sites (unpublished results). The reason for this differential binding is still poorly understood. One possibility is that ligands show varying affinity for different forms of aggregated tau, due to differences in primary structure and/or post-translational modifications. Secondly, the lack of a well-defined binding site across the fiber axis opens the possibility that multiple binding modes exist to one particular form of aggregated tau.135 Studying further the structure and binding characteristics of tau aggregates isolated from preclinical models and human tauopathies at various disease stages could be instrumental to gain more understanding in the binding characteristics of tau ligands. It will be important to investigate longitudinal imaging in context of disease progression, and to compare the in vivo PET results with ex vivo pathology. Additionally, the dynamic range of the tracers needs to be evaluated, as well as their test/re-test reproducibility. These tracers are currently being studied across various tauopathies, and resulting insights will guide the development of disease modifying therapies, enable early intervention, and hopefully improve outcomes. Contributors All authors have contributed equally to the preparation of this Review and have read and accepted the final revised version prior to submission
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AUTHOR INFORMATION Corresponding Author * Email:
[email protected]. Phone: 0034 925 24 57 80 Biographies Dr. Manuela Ariza had her academic training at the University of Malaga, Spain, where she obtained her Ph.D. in Organic Chemistry in 2011 in the group of Prof. Dr. Rafael Suau. During this period, she spent three months as a visiting researcher at the École Supérieure de Physique et Chemie Industrielles (ESPCI ParisTech), Paris (France) under the supervision of Prof. Dr. Janine Cossy. In 2011 she obtained a one-year Research Internship from the Company-University Foundation of the Autonomous University of Madrid to collaborate with the Neuroscience team at Janssen Pharmaceutica in Toledo. In 2013 she became a Post-doctoral Scientist at the Neuroscience Department of Janssen Pharmaceutica in Belgium, where she has been focused on the design and synthesis of novel potential Tau PET Ligands. Dr. Hartmuth Kolb received his Ph.D. in Organic Chemistry in 1991 at Imperial College of Science, Technology and Medicine, London. Following postdoctoral work with Barry Sharpless, he joined Ciba-Geigy in 1993. In 1997, Dr. Kolb became the Head of Chemistry at Coelacanth Corporation. In this role, he and Dr. Sharpless developed the Click Chemistry approach to drug discovery. In 2002, he joined The Scripps Research Institute as an Associate Professor. From 2004 to 2013, he was the head of Siemens Biomarker Research, where his team developed novel oncology and neurodegenerative disease PET tracers, a key highlight being the PHF-Tau tracer, [18F]-T807. Dr. Kolb joined Johnson & Johnson in January 2014 as the Head of Neuroscience Biomarkers. He is an author on over 75 peer-reviewed publications.
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Dr. Dieder Moechars obtained his doctorate in Biomedical Sciences at the Katholieke Universiteit Leuven (Belgium) in 1996. Next he became a post-doctoral researcher at the Centre for Human and Experimental Genetics, K.U.Leuven under the supervision of Prof. F. Van Leuven. In 1999 he joined Janssen Pharmaceutica, Belgium, where he currently holds the position of Scientific Director. He is a Preclinical Biologist with over 20 years of experience in AD research, internationally recognized for work in basic neurobiology and pharmaceutical R&D with more than 70 peer reviewed articles and several patents. His research interests include a multitude of drug discovery projects from TI-TV to NME delivery and currently he is actively involved on the development of β-amyloid and tau based therapies for disease modification in AD. Dr. Frederik Rombouts obtained his doctorate in Organic Chemistry at the Katholieke Universiteit Leuven (Belgium) in 2002 in the group of Prof. Georges Hoornaert. Next he became a post-doctoral researcher at the Université de Montreal (Canada) under supervision of Prof. William D. Lubell. In 2003 he joined Janssen Pharmaceutica, Belgium, where he currently holds the position of Principal Scientist. In 2008, Dr. Rombouts joined the Neuroscience Medicinal Chemistry department, focused on developing therapies and imaging agents for Alzheimer’s Disease. Since then he has led the Hit Generation Team, which supports all pre-HTL, HTL and LO projects with novel chemical starting points. His research interests include especially the creative aspects of drug design and synthesis, structure- and fragment-based drug discovery, novel synthetic methodologies and target identification. Dr. José Ignacio Andrés obtained his doctorate in Organic Chemistry in 1985 at the Complutense University of Madrid, Spain. That year he joined Janssen Research & Development to start up the Medicinal Chemistry Department in Toledo (Spain), and he currently holds the
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position of Scientific Director & Fellow. In 2001 he was appointed Medicinal Chemistry Associate for CNS - Psychiatry Discovery, and in 2007 he was appointed Head of the newly created PET Ligand Discovery Team in Toledo. During his scientific career he has been directly involved in a large number of discovery programs, several of which have successfully brought compounds into the clinic including two new PET radioligands. He is co-author of around 50 peer-reviewed publications and co-inventor in around 50 patent applications. ACKNOWLEDGMENT The authors thank Katleen Fierens, PhD, Discovery Sciences – Janssen R&D, for her key contribution to the progress of our Tau PET discovery program. This work was supported in part by the Institute for the Promotion of Innovation by Science and Technology (IWT120492) in Flanders. ABBREVIATIONS Aβ, amyloid; AD, Alzheimer’s Disease; AGD, argyrophilic grain disease; BBB, blood brain barrier; CBD, corticobasal degeneration; CD, circular dichroism; CSF, cerebrospinal fluid; DSM-IV-TR, Diagnostic and Statistical Manual of Mental Disorders; EMA, European Medicines Agency; FPEG, fluoro-polyethylenglycol; FTDP-17, frontotemporal dementia and parkinsonism linked to chromosome 17; FTIR, Fourier transform infrared; HC, Healthy Control; MAPs, microtubule-associated
proteins;
MCI,
Mild
Cognitive
Impairment;
MSFI,
selective
multispectral fluorescent imaging; NIA, National Institute on Aging; NFT, neurofibrillary tangles; NINCDS-ADRDA, National Institute of Neurological Disorders and Stroke-Alzheimer Disease and Related Disorders; NMR, nuclear magnetic resonance; PDB, phenyldiazenyl benzothiazole; PiD, Pick disease; PET, Positron Emission Tomography; PiB, Pittsburgh compound B; P-gP, p-glycoprotein; PHF, paired helical filaments; PSP, progressive supranuclear
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palsy; RCF, randomly coiled filaments; SF, straight filaments; SPs, senile plaques;
SUV,
standardized uptake values; SUVR, target-to-cerebellum standardized uptake value; TD, tangleonly dementia; TF, twisted filaments; ThT, thioflavin-T.
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ACS Paragon Plus Environment
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Journal of Medicinal Chemistry
167x45mm (96 x 96 DPI)
ACS Paragon Plus Environment
Journal of Medicinal Chemistry
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
257x128mm (96 x 96 DPI)
ACS Paragon Plus Environment
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Journal of Medicinal Chemistry
402x243mm (96 x 96 DPI)
ACS Paragon Plus Environment
Journal of Medicinal Chemistry
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
190x142mm (96 x 96 DPI)
ACS Paragon Plus Environment
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Journal of Medicinal Chemistry
338x190mm (96 x 96 DPI)
ACS Paragon Plus Environment