G S M Sundaram1, Kanchan Garai, Nigam P Rath, Ping Yan, John R Cirrito, Nigel J Cairns, Jin-Moo Lee, Vijay Sharma. 1. BRIGHT Institute, Molecular Imaging Center, ‡Mallinckrodt Institute of Radiology, §Department of Biomedical Engineering, ∥Departments of Neurology and ⊥Pathology & Immunology, #Knight Alzheimer's Disease Research Center, and ∇Hope Center for Neurological Disorders, Washington University School of Medicine , St. Louis, Missouri 63110, United States.
Abstract
Emerging paradigms mandate discovery of imaging agents for diagnosing Alzheimer's disease (AD) prior to appearance of clinical symptoms. To accomplish this objective, a novel heterocyclic molecule (4) was synthesized and validated as Aβ targeted probe. The agent shows labeling of numerous diffuse Aβ plaques in confirmed AD human brain tissues and traverses the blood-brain barrier to enable labeling of parenchymal Aβ plaques in live mice (APP(±)/PS1(±)) brains.
Emerging paradigms mandate discovery of imaging agents for diagnosing Alzheimer's disease (AD) prior to appearance of clinical symptoms. To accomplish this objective, a novel heterocyclic molecule (4) was synthesized and validated as Aβ targeted probe. The agent shows labeling of numerous diffuse Aβ plaques in confirmed ADhuman brain tissues and traverses the blood-brain barrier to enable labeling of parenchymal Aβ plaques in live mice (APP(±)/PS1(±)) brains.
Alzheimer’s disease (AD)
is the most frequent form of dementia, which affects 24 million people
worldwide and also lacks effective therapeutic interventions.[1] The failure of clinical drug trials to reverse
clinical symptoms indicates that for a given treatment to be effective,
it most likely needs to be prescribed at a preclinical stage before
the symptomatic expression of the disease. Therefore, there is an
urgent need to identify and validate biomarkers present at preclinical
stages of this disease. AD is characterized neuropathologically by
β-amyloid (Aβ) plaques and intraneuronal accumulations
of abnormal neurofibrillary tangles (NFTs), composed of the tau protein.[2] In vitro and rodent models indicate that the
accumulation of Aβ1–42 and Aβ1–40 fragments may lead to neuronal and synaptic loss, resulting in cognitive
decline. Additionally, model systems indicate that Aβ aggregation
is an initiating event in the AD pathogenic cascade: (a) overexpression
of amyloid precursor protein (APP; a transmembrane protein encoded
on chromosome 21) is a characteristic of Down Syndrome (DS);[3] (b) missense mutations in APP also induce an
elevation of Aβ levels;[4,5] (c) mutations in the
presenilin (PSEN1 and PSEN2) genes
have been shown to increase the expression of variant Aβ1–42;[5,6] and (d) transgenic mice overexpressing
APP develop AD-like neuropathology.[7] Overall,
there is ample evidence that suggests AD pathological changes (Aβ
deposition and NFT formation) occur years prior to onset of symptoms.[8] While all these observations suggest that Aβ
plaque formation occurs decades prior to the beginning of neurodegeneration
phase, the temporal relationship between amyloid deposition, neuronal
loss, and cognitive decline are intensely debated and continuously
investigated. Therefore, for elucidation of these relationships, early
diagnosis of AD and the efficient assessment of disease modifying
treatments, a noninvasive PET imaging technique to quantify brain
amyloid deposition is desired.Toward this objective, radiopharmaceuticals
such as, [11C]2-(4′-methylaminophenyl)-6-hydroxybenzothiazole,
([11C]PIB),[9] 2-(1-(6-((2[18F]fluoroethyl)methylamino)-2-naphthyl)ethylidene)malononitrile
([18F]FDDNP),[10] [11C]4-N-methylamino-4′-hydroxystilbene (SB-13),[11] and (E)-4-(2-(6-(2-(2-(2-[18F]-fluoroethoxy)ethoxy)ethoxy)pyridin-3-yl)vinyl)-N-methylbenzenamine ([18F]Avid45),[12] and 2-(2-fluoro-6-(methylamino)pyridine-3-yl)benzofuran-6-ol(18F-AZD4694)[13,14] have been investigated in humans
using PET imaging. In addition, [125I/131I]TZDM
and [125I]IMPY have also been investigated for SPECT applications.[10] While [11C]PIB has been most intensely
studied, [18F]Avid45 and 18F-flutemetamol[15,16] were recently approved by FDA for Aβ imaging. Importantly,
both [18F]Avid45[17] and [11C]PIB show promising results in humans and excellent correlation
with FDG.[9] While showing merit, each of
these agents has demonstrated shortcomings worthy of consideration.
Among these limitations, [11C]PIB,[18] [11C]SB-13,[11] and [18F]Avid45[12] have demonstrated low biological
half-lives in serum. While metabolites of PIB have been postulated
to not penetrate the brain,[18] two metabolites
of [18F]Avid45 (desmethylated, 4.5%ID/g; acetylated analogue,
3.3%ID/g at 2 min in normal mice)[12] have
been shown to permeate the brain, which could complicate the analysis.
Additionally, systematic investigations of [3H]PIB (at
tracer concentrations comparable with PET imaging) binding to human
neuropathological brain specimens indicate the interaction of a radiotracer
with classical Aβ plaques, NFTs (intensity is low compared with
Aβ pathology), and cerebrovascular amyloid angiopathy (CAA).[19] The other Aβ imaging agent, [18F]FDDNP, shows binding to NFTs, prion plaques, and fibrillar Aβ,
therefore indicating a lack of specificity toward probing AD.[10,20] Significantly, all agents demonstrate considerable white matter
binding ([18F]Avid45 shows 2-fold higher binding than [11C]PIB), thus providing challenges for analysis in early stages
of AD. Noticeably, [11C]PIB has been unable to detect cerebral
Aβ in some patients.[21] Overall, existing
agents have not demonstrated sensitivity to detect the earliest Aβ
pathophysiology to enable benefits at preclinical stages. Therefore,
F-18-incorporated ultrasensitive PET probes capable of targeting highly
prevalent sites on Aβ yet displaying faster kinetics from nontargeted
regions (high signal-to-noise ratio), minimal white matter interaction,
and targeting diffuse- as well as Aβ fibrillar plaques could
provide a quantitative amyloid imaging test for guiding management
of AD. Herein, we report chemical characterization and crystal structure
of the molecule 4 ((E)-5-(2-(6-(2-fluoroethoxy)benzo[d]thiazol-2-yl)vinyl)-N,N-dimethylpyridin-2-amine),
its preliminary assessment of target specificity in mice and human
tissues. Within minutes postintravenous injection, 4 penetrates
the BBB to label Aβ plaques in brains of APP±/PS1± mice.Our strategic design for generation
of an Aβ-targeted agent
involved five functional components: (a) a benzothiazole moiety without
the methyl group on the heterocyclic nitrogen of thioflavin T to remove
the positive charge for enhancing affinity of the probe to Aβ
plaques and hydrophobicity to facilitate BBB penetration; (b) modifications
of substituents on the sixth position of the benzothiazole ring insignificantly
impact affinity of probes for plaques; (c) introduction of an olefin
bond between the benzothiazole moiety and an aromatic ring to increase
electron density as well as flexibility of the molecule to promote
interactions with binding sites present on both diffuse and fibrillar
Aβ plaques; (d) substituting a basic dimethylamino group into
an aromatic ring at the para position to the olefinic
carbon to increase electron density on the nitrogen; and (e) incorporation
of a heteroatom, such as nitrogen atom in the aromatic ring ortho
to the basic dimethylamino group, to enable better resonance stabilization
for influencing π–π interactions for targeting
of high density and moderate affinity sites on Aβ plaques. When
the above-mentioned characteristic features were incorporated into
a template scaffold, compound 4 was synthesized as shown
in Scheme 1 (synthetic chemistry details in Supporting Information).
Scheme 1
Chemical Synthesis of Heterocyclic Molecule 4
For synthesis,
6-methoxy-2-methylbenzothiazole (1)
was obtained using literature procedures[22] and condensed with 6-(dimethylamino)nicotinaldehyde in an aqueous
potassium hydroxide (50%) solution dissolved in DMSO to obtain 2. Following purification, 2 was demethylated
in the presence of BBr3 to yield the phenolic derivative 3. Finally, 3 was alkylated with 2-fluoroethyl-4-methylbenzenesulfonate (prepared
using literature procedure[23]) in the presence
of cesium carbonate to obtain 4. All intermediates, 1, 2, 3, and the final compound 4, were characterized via standard analytical methods. Additionally, 4 was also analyzed for uniformity and purity, on a semipreparative
C-18 column (Vydac), using an HPLC system. Compound 4 eluted as a single chemical entity, with a retention time of 10
min, thus indicating purity of the molecule. The organic molecule 4 crystallized in a triclinic space group P1. The ORTEP drawing showing the crystallographic numbering scheme
for 4 is illustrated in Figure 1. The crystal structure indicates a nearly planar molecule with a
calculated root-mean-square deviation of 0.062 Å for the entire
core (all atoms except the H and F atoms) and also indicates a weak
π–π interaction and hydrogen bonding (Supporting Information, Figure 2). The NMR spectral
data of 4 were also consistent with the crystal structure,
thus indicating the presence of identical structures both in solid
and solution state.
Figure 1
Projection view of 4 showing the crystallographic
numbering scheme of atoms (thermal ellipsoids: 50% probability).
Projection view of 4 showing the crystallographic
numbering scheme of atoms (thermal ellipsoids: 50% probability).For assessing the ability of 4 to bind Aβ plaques,
preliminary binding assays with preformed Aβ1–42 aggregates were performed. Following excitation at 410 nm, the fluorescence
spectrum of 4 recorded in PBS showed an emission peak
with Emax at 503 nm. Upon incubation with
preformed aggregates of Aβ1–42, the peak at
503 nm shifted slightly (Emax 485 nm)
and simultaneously demonstrated a remarkable enhancement in the fluorescence,
due to binding to Aβ aggregates (Supporting
Information, Figure 3). This enhancement in fluorescence upon
interaction with Aβ1–42 fibrils is consistent
with profiles observed with other fluorescent molecules under similar
conditions.[24] Additionally, no fluorescence
was observed using Aβ aggregates alone in PBS following excitation
at 410 nm (negative control). Overall, binding assay of 4 with preformed Aβ1–42 aggregates indicates
a nearly saturable binding with Kd = 59
± 7 nM (Supporting Information, Figure
4).The double-transgenic mice having coexpression of the mutated
genes
(APP±/PS1±) exhibit a strikingly accelerated
accumulation of Aβ deposits compared with the single APP transgenic
counterparts.[25−,27] Noticeably, several Aβ ligands and
disease-modifying therapeutics have been investigated for their efficacy
using APP±/PS1± mice.[28,29] Further, we assessed the ability of 4 to stain ex vivo
brain sections (50 μm) of age-matched APP±/PS1± mice and their WT (BL/6) counterparts, using established
procedures.[30] As a positive control, anti-Aβ
monoclonal antibody (mHJ3.4 conjugated to Alexa 568) was used.[31] Brain sections of 24-month-old APP±/PS1± mice showed abundant staining of Aβ (Figure 2) compared with none in WT counterparts
(data not shown). Similarly, 4 (1 μM) demonstrated
abundant staining of fibrillar plaques in the cortical regions of
brain sections (Figure 2) in APP±/PS1± mice. By comparison, 4 showed
no staining in WT mice (Supporting Information, Figure 5), thus indicating its target specificity. Finally, 4 also showed significant correlation (Figure 2; merged image) with anti-Aβ antibody. However, a slightly
less than 1:1 correlation in the merged image could be attributed
to binding patterns of 4, a small organic molecule versus
an anti-Aβ antibody.
Figure 2
Staining of brain tissue sections (50 μm)
from APP±/PS1± mice using 4 (1 μM) or immunostained
with mouse anti-Aβ monoclonal antibody (mHJ3.4) conjugated to
Alexa Fluor 568 (positive control). Arrows indicate labeling of Aβ
plaques. Similar results were obtained in more than five independent
experiments.
Staining of brain tissue sections (50 μm)
from APP±/PS1± mice using 4 (1 μM) or immunostained
with mouse anti-Aβ monoclonal antibody (mHJ3.4) conjugated to
Alexa Fluor 568 (positive control). Arrows indicate labeling of Aβ
plaques. Similar results were obtained in more than five independent
experiments.Despite showing promising
affinity in vitro, initial
good penetration as well as clearance in normal mice, and staining
to transgenic mice brain cross-sections, few Aβ-targeted 99mTc-ligands have not displayed any binding with Aβ
plaques in human tissues, thus impeding their further development.[32] To further assess the ability of 4 to label Aβ plaques in human brain, staining experiments were
performed with post-mortem tissues from clinically characterized ADpatients.[33,34] As a positive control, a highly specific
anti-Aβ antibody (10 D5, Eli Lilly, Indianapolis, IN) was used
to ascertain the presence of Aβ plaques (Figure 3A), using well-established procedures.[35] Importantly, 4 (10 μM) demonstrated
strikingly distinct labeling of Aβ plaques in the tissue sections
of frontal lobe of a 90-year-old male with AD (Figure 3) and absence of Aβ plaques in normal controls (Supporting Information, Figure 6), thus indicating
target specificity. Noticeably, 4 also indicated proficient
and distinct labeling of plaque and leptomeningeal vessels (cerebral
amyloid angiopathy; CAA) (Figure 3B). These
data are consistent with other unlabeled counterparts of FDA-approved
PET agents.[36] Furthermore, thioflavin S,
an amyloid staining dye, showed staining of amyloid in the blood vessel
(CAA) and indicated only weak staining of diffuse plaques (Figure 3C). Importantly, 4 demonstrated labeling
of numerous diffuse Aβ plaques (Figure 3B). Overall, the ability and sensitivity of 4 to detect
diffuse plaques could represent an important advancement to enable
PET imaging of mildly demented individuals prior to onset of symptoms.[8]
Figure 3
Binding of anti-Aβ antibody (10D5, Eli Lilly, A), 4 (B), and thioflavin S (C) to Aβ plaques in AD brain
near/adjacent
tissue sections. Amyloid in post-mortem frontal lobe of a 90-year-old
male. Magnification: 200×. (A) Diffuse Aβ plaques and an
arteriole with Aβ deposits (cerebral amyloid angiopathy); 10D5
immunohistochemistry. (B) Section stained with 4 containing
the same arteriole as in (A). There are numerous diffuse Aβ
plaques and the vessel is also stained. (C) Thioflavin S reveals amyloid
in blood vessels but diffuse plaques are only weakly stained. The
same diffuse Aβ plaque is labeled in A–C. Similar results
were obtained in more than five independent cases.
Binding of anti-Aβ antibody (10D5, Eli Lilly, A), 4 (B), and thioflavin S (C) to Aβ plaques in AD brain
near/adjacent
tissue sections. Amyloid in post-mortem frontal lobe of a 90-year-old
male. Magnification: 200×. (A) Diffuse Aβ plaques and an
arteriole with Aβ deposits (cerebral amyloid angiopathy); 10D5
immunohistochemistry. (B) Section stained with 4 containing
the same arteriole as in (A). There are numerous diffuse Aβ
plaques and the vessel is also stained. (C) Thioflavin S reveals amyloid
in blood vessels but diffuse plaques are only weakly stained. The
same diffuse Aβ plaque is labeled in A–C. Similar results
were obtained in more than five independent cases.The discovery and development of new ligands to
enable imaging
of biomarkers in brain mandates interrogation of their ability to
permeate the BBB, excretion from nearby nontargeted regions of the
brain to provide a high signal/noise ratio, and specificity for a
given target. For assessing viability of molecules as imaging probes
in vivo,[37] various imaging modalities,
such as nuclear imaging (PET/SPECT), optical imaging, and MRI have
been used to investigate simultaneously distribution kinetics and
target-receptor specificity. While the resolution of PET and MRI allow
in vivo imaging at relatively lower resolution, the multiphoton microscopy
enables precise evaluation of the specificity of a given ligand binding
to its target at a submicrometer resolution.[38] Therefore, this technique enables characterization of probes in
small animal models at a significantly high spatial and temporal resolution.[38]For assessing the ability of 4 to penetrate the BBB,
label Aβ parenchymal plaques, and simultaneously interrogate
the pharmacokinetic profiles from nearby brain regions, direct real-time
imaging was performed in transgenic APP±/PS1± mice. Prior to imaging, dextran–Texas Red conjugate (33 mg/kg;
dissolved in PBS to mark the blood vessels) and 4 (2
mg/kg; dissolved in 20% DMSO in propylene glycol[39]) were intravenously administered to anesthetized APP±/PS1± mice (with cranial windows; Supporting Information). Compared with barely
detectable autofluorescence levels in either vehicle treated BL6 (WT)
mice (data not shown) or prior to imaging transgenic APP±/PS1± mice (Figure 4), bright
fluorescence appeared in large and small blood vessels of the brain
following injection. Within minutes, the fluorescent molecule crossed
the BBB and entered the brain parenchyma and Aβ deposits were
labeled. While the complete labeling of CAA occurred instantaneously
following injection, the labeling of parenchymal plaques peaked at
approximately 10 min. Overall, these data demonstrate in real time
that 4 enters the CNS rapidly and labels parenchymal
Aβ plaques. These real-time pharmacokinetic data in transgenicmice provide an ideal platform for PET tracer development.
Figure 4
Real time imaging
of 4 in brains of APP ±/PS1± transgenic mice: Following labeling of blood
vessels with dextran-Texas Red, 4 (2 mg/kg) was intravenously
injected. A z-stack image series was acquired using an LSM 510META
NLO microscope (Carl-Zeiss Inc.).
Real time imaging
of 4 in brains of APP ±/PS1± transgenic mice: Following labeling of blood
vessels with dextran-Texas Red, 4 (2 mg/kg) was intravenously
injected. A z-stack image series was acquired using an LSM 510META
NLO microscope (Carl-Zeiss Inc.).In summary, novel heterocyclic fluorescent molecule 4 demonstrates binding to both diffuse and fibrillar Aβ
plaques,
a promising feature that could enable diagnosis of AD at preclinical
stages. Multiphoton imaging shows real-time pharmacokinetics of 4 in brains of transgenic mice at a highest resolution, penetration
of the BBB, and ability of the agent to label Aβ plaques in
brain parenchyma and blood vessels (CAA). Additionally, the low level
of background fluorescence from residual retention of 4 suggests high signal-to-background ratios, an asset for PET imaging
applications. Although imaging of 4 with multiphoton
microscopy does not predict the sensitivity levels obtainable with
tracer imaging, the technique allows detection of individual plaques
within a very small volume of the brain compared with PET imaging
probes that provide an averaged intensity of Aβ binding at a
low spatial resolution. Thus, the sensitivity of 4 for
detection of Aβ with PET imaging will need to be addressed independently.
Nevertheless, these data provide a provocative platform technology
for development of PET tracers to enable noninvasive assessment of
Aβ plaques in vivo. Further investigations on a PET counterpart
of 4 are under investigation.
Authors: Cleusa P Ferri; Martin Prince; Carol Brayne; Henry Brodaty; Laura Fratiglioni; Mary Ganguli; Kathleen Hall; Kazuo Hasegawa; Hugh Hendrie; Yueqin Huang; Anthony Jorm; Colin Mathers; Paulo R Menezes; Elizabeth Rimmer; Marcia Scazufca Journal: Lancet Date: 2005-12-17 Impact factor: 79.321
Authors: L Holcomb; M N Gordon; E McGowan; X Yu; S Benkovic; P Jantzen; K Wright; I Saad; R Mueller; D Morgan; S Sanders; C Zehr; K O'Campo; J Hardy; C M Prada; C Eckman; S Younkin; K Hsiao; K Duff Journal: Nat Med Date: 1998-01 Impact factor: 53.440
Authors: Seok Rye Choi; Geoff Golding; Zhiping Zhuang; Wei Zhang; Nathaniel Lim; Franz Hefti; Tyler E Benedum; Michael R Kilbourn; Daniel Skovronsky; Hank F Kung Journal: J Nucl Med Date: 2009-10-16 Impact factor: 10.057
Authors: Natalie Nelissen; Koen Van Laere; Lennart Thurfjell; Rikard Owenius; Mathieu Vandenbulcke; Michel Koole; Guy Bormans; David J Brooks; Rik Vandenberghe Journal: J Nucl Med Date: 2009-07-17 Impact factor: 10.057
Authors: J K Teller; C Russo; L M DeBusk; G Angelini; D Zaccheo; F Dagna-Bricarelli; P Scartezzini; S Bertolini; D M Mann; M Tabaton; P Gambetti Journal: Nat Med Date: 1996-01 Impact factor: 53.440
Authors: Chester A Mathis; Yanming Wang; Daniel P Holt; Guo-Feng Huang; Manik L Debnath; William E Klunk Journal: J Med Chem Date: 2003-06-19 Impact factor: 7.446
Authors: Alex E Roher; David H Cribbs; Ronald C Kim; Chera L Maarouf; Charisse M Whiteside; Tyler A Kokjohn; Ian D Daugs; Elizabeth Head; Carolyn Liebsack; Geidy Serrano; Christine Belden; Marwan N Sabbagh; Thomas G Beach Journal: PLoS One Date: 2013-03-21 Impact factor: 3.240
Authors: Guruswami Sm Sundaram; Dhruva Dhavale; Julie L Prior; Jothilingam Sivapackiam; Richard Laforest; Paul Kotzbauer; Vijay Sharma Journal: EJNMMI Res Date: 2015-05-24 Impact factor: 3.138
Authors: G S M Sundaram; Dhruva D Dhavale; Julie L Prior; Ping Yan; John Cirrito; Nigam P Rath; Richard Laforest; Nigel J Cairns; Jin-Moo Lee; Paul T Kotzbauer; Vijay Sharma Journal: Sci Rep Date: 2016-11-02 Impact factor: 4.379