Literature DB >> 26490333

Preclinical properties and human in vivo assessment of 123I-ABC577 as a novel SPECT agent for imaging amyloid-β.

Yoshifumi Maya1, Yuki Okumura2, Ryohei Kobayashi2, Takako Onishi2, Yoshinari Shoyama2, Olivier Barret3, David Alagille3, Danna Jennings3, Kenneth Marek3, John Seibyl3, Gilles Tamagnan3, Akihiro Tanaka2, Yoshifumi Shirakami2.   

Abstract

Non-invasive imaging of amyloid-β in the brain, a hallmark of Alzheimer's disease, may support earlier and more accurate diagnosis of the disease. In this study, we assessed the novel single photon emission computed tomography tracer (123)I-ABC577 as a potential imaging biomarker for amyloid-β in the brain. The radio-iodinated imidazopyridine derivative (123)I-ABC577 was designed as a candidate for a novel amyloid-β imaging agent. The binding affinity of (123)I-ABC577 for amyloid-β was evaluated by saturation binding assay and in vitro autoradiography using post-mortem Alzheimer's disease brain tissue. Biodistribution experiments using normal rats were performed to evaluate the biokinetics of (123)I-ABC577. Furthermore, to validate (123)I-ABC577 as a biomarker for Alzheimer's disease, we performed a clinical study to compare the brain uptake of (123)I-ABC577 in three patients with Alzheimer's disease and three healthy control subjects. (123)I-ABC577 binding was quantified by use of the standardized uptake value ratio, which was calculated for the cortex using the cerebellum as a reference region. Standardized uptake value ratio images were visually scored as positive or negative. As a result, (123)I-ABC577 showed high binding affinity for amyloid-β and desirable pharmacokinetics in the preclinical studies. In the clinical study, (123)I-ABC577 was an effective marker for discriminating patients with Alzheimer's disease from healthy control subjects based on visual images or the ratio of cortical-to-cerebellar binding. In patients with Alzheimer's disease, (123)I-ABC577 demonstrated clear retention in cortical regions known to accumulate amyloid, such as the frontal cortex, temporal cortex, and posterior cingulate. In contrast, less, more diffuse, and non-specific uptake without localization to these key regions was observed in healthy controls. At 150 min after injection, the cortical standardized uptake value ratio increased by ∼ 60% in patients with Alzheimer's disease relative to healthy control subjects. Both healthy control subjects and patients with Alzheimer's disease showed minimal (123)I-ABC577 retention in the white matter. These observations indicate that (123)I-ABC577 may be a useful single photon emission computed tomography imaging maker to identify amyloid-β in the human brain. The availability of an amyloid-β tracer for single photon emission computed tomography might increase the accessibility of diagnostic imaging for Alzheimer's disease.
© The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain.

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Keywords:  Alzheimer’s disease; amyloid-β; imaging; radiotracer; single photon emission computed tomography

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Year:  2015        PMID: 26490333      PMCID: PMC4949387          DOI: 10.1093/brain/awv305

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


Introduction

Alzheimer’s disease is a neurodegenerative disorder characterized by cognitive decline such as memory impairment, disorientation, and impaired language function ( McKhann ). Senile plaques containing amyloid-β peptides and neurofibrillary tangles composed of hyperphosphorylated tau in the brain represent the neuropathological hallmarks of Alzheimer’s disease ( Braak and Braak, 1991 ). The cortical deposition of amyloid-β plaques is regarded as one of the earliest pathological markers in Alzheimer’s disease ( Aisen ; Bateman ; Villemagne ). In addition, amyloid-β plaques are believed to play a crucial role in the development of Alzheimer’s disease ( Hardy and Higgins, 1992 ; Roberson and Mucke, 2006 ; Sperling ; Huijbers ). Accordingly, various strategies aimed at preventing or reducing the accumulation of amyloid-β are underway to develop potential therapies for Alzheimer’s disease ( Reiman ; Schneider ; Sperling ). Therefore, amyloid-β imaging agents for PET or single photon emission computed tomography (SPECT) that can detect amyloid-β plaques in vivo may not only assist with the early and accurate diagnosis of Alzheimer’s disease but may also play an important role in the development of anti-amyloid-β therapies by identifying subjects with amyloid-β plaques in the brain and monitoring their treatment response. Over the past few years, three such amyloid-β imaging agents for PET [ 18 F-florbetapir ( Choi ; Clark ), 18 F-flutemetamol ( Nelissen ; Vandenberghe ), and 18 F-florbetaben ( Rowe ; Barthel )] have been approved by the United States Food and Drug Administration and the European Medicines Agency as radioactive diagnostic agents to estimate amyloid-β neuritic plaque density in adults being evaluated for Alzheimer’s disease and dementia. On the other hand, there has been a lack of SPECT ligands available for the clinical diagnosis of Alzheimer’s disease. In spite of the considerable effort to develop SPECT tracers ( Kung ; Qu ; Ono ; Chen ), clinically useful amyloid-β imaging agents for SPECT have not been reported in humans. It is well known that the resolution and sensitivity of SPECT are inferior to those of PET. However, there are more clinical imaging systems for SPECT installed in medical centres and community hospitals. Thus, if SPECT imaging tracers targeting amyloid-β plaques could be developed, this would increase the accessibility of diagnostic imaging for Alzheimer’s disease. As such, the development of a SPECT imaging agent would benefit a large number of Alzheimer’s disease patients. In this study, we designed and prepared a novel SPECT imaging agent, 123 I-ABC577, and examined its preclinical properties. In addition, we performed the first clinical study to assess the safety and efficacy of 123 I-ABC577 in humans.

Materials and methods

All reagents were commercial products and used without further purification unless otherwise indicated. Post-mortem human samples from four patients with Alzheimer’s disease (86-year-old female, frontal lobe; 87-year-old female, frontal lobe; 79-year-old male, frontal lobe; and 73-year-old male, hippocampus) and one control subject (44-year-old female, frontal lobe) were acquired from Analytical Biological Services Inc. The presence of amyloid-β plaques and paired helical filament (PHF)-tau was examined by immunohistochemical staining using the anti-amyloid-β monoclonal antibody 82E1 (Immuno-Biological Laboratories Co., Ltd) and anti-PHF-tau monoclonal antibody AT8 (Innogenetics). Optical microscopy images were acquired using a Keyence BZ-9000 microscope (Keyence Corporation). Wistar rats were purchased from Japan SLC, Inc., housed in conditions of controlled temperature (18–28°C) and lighting (12:12 h light–dark cycle), and given free access to food and water. The protocols for the animal experiments were approved by the committee on animal welfare at Nihon Medi-Physics Co., Ltd.

Chemistry and radiochemistry

The tributyltin precursor of 123 I-ABC577 and the reference standard (ABC577) were custom-synthesized by the Nard Institute, Ltd. No-carrier-added radio-iodinated 123 I-ABC577 was successfully prepared through an iododestannylation reaction from the corresponding tributyltin precursor ( Fig. 1 ). Details are provided in the online Supplementary material . Briefly, to initiate the reaction, the precursor solution was added to a mixture of sodium 123 I-iodide, hydrogen peroxide, and hydrochloric acid in a sealed vial. After the reaction was allowed to proceed at 40°C for 10 min, the radio-iodinated ligand was purified by high-performance liquid chromatography. 123 I-ABC577 was obtained in 3–57% radiochemical yields, with radiochemical purities >94% and specific activities >100 GBq/μmol.
Figure 1

Radiosynthesis of .

Radiosynthesis of .

Saturation binding assay

Frontal lobe grey matter containing abundant amyloid-β plaques but minimal PHF-tau was carefully separated from white matter in the cortical tissue. Homogenates were then prepared with a tissue homogenizer in phosphate-buffered saline (PBS). Tissue homogenates were frozen at −80°C until used for binding assays. The reaction mixture contained 50 μl of tissue homogenates (25 μg) and 100 μl of 123 I-ABC577 (final concentration, 0.2–25 nM) in a final volume of 250 μl. Non-specific binding was defined in the presence of 1 μM Pittsburgh compound B. The mixture was incubated at 22°C for 3 h, and the bound and the free radioactivity were separated by filtration under reduced pressure (MultiScreen HTS Vacuum Manifold; Merck Millipore), followed by three washes with PBS containing 0.1% bovine serum albumin. The radioactivity retained on the filters was counted in a gamma counter (ARC-7001; Hitachi Aloka Medical, Ltd.). The binding data were evaluated by fitting the data to a one-site binding model using GraphPad Prism (GraphPad Software, Inc.) through which the equilibrium dissociation constant (K d ) and maximum number of binding sites (B max ) were calculated.

In vitro autoradiography

Frozen brains from a control subject and four patients with Alzheimer’s disease were cut into 5-μm sections with a cryostat (Leica Microsystems). Brain sections were dipped in PBS for 15 min, 5 min, and 5 min, and then dipped in PBS containing 1% bovine serum albumin. The sections were then incubated with 123 I-ABC577 (10 kBq/ml) for 30 min at room temperature. The sections were washed with PBS containing 1% bovine serum albumin for 5 min, followed by two 5-min rinses with PBS. Non-specific binding was determined in the presence of 5 μM ABC577. After drying, the 123 I-labelled sections were exposed to imaging plates (Fujifilm) overnight. The autoradiographic images were obtained using a BAS-2500 imaging instrument (Fujifilm) or Typhoon FLA7000 IP System (GE healthcare). Adjacent sections were immunostained using the anti-amyloid-β monoclonal antibody 82E1 and anti-PHF-tau monoclonal antibody AT8.

Selectivity screening

Pharmacological screening assays were conducted by Sekisui Medical Co., Ltd. The inhibitory effect of 10 μM ABC577 was evaluated in competition binding experiments against a panel of 91 types of receptors, ion channels, and transporters. Percentage inhibition ratios were calculated.

In vivo biodistribution in normal rats

A total of 21 male Wistar rats (129–142 g) that received iodine pretreatment were injected in the tail vein with 123 I-ABC577 (4 MBq). The rats were sacrificed at 5 min, 30 min, 1 h, 3 h, 6 h, 14 h, and 24 h post-injection (three animals at each time point). The organs of interest were removed and weighed, and the radioactivity was measured with a single channel analyser (Ohyo Koken Kogyo Co., Ltd.). The per cent dose per gram of tissue (%ID/g) was calculated by comparing the tissue counts with the count of the initial dose.

SPECT study

All study procedures were conducted at the Institute for Neurodegenerative Disorders and Molecular NeuroImaging in New Haven, CT. This study was approved by the New England Institutional Review Board and the United States Food and Drug Administration. Written informed consent was obtained from all subjects and caregivers (for the probable Alzheimer’s disease patients) prior to study entry and any protocol-specific procedures.

Participants

Three young and healthy controls (mean age: 24.5 years) and three patients with probable Alzheimer’s disease (mean age: 66.8 years) were included in the study ( Table 1 ). Alzheimer’s disease patients were selected from an existing database and from referrals to Molecular NeuroImaging. Healthy controls were recruited from caregivers and a Molecular NeuroImaging database of healthy control participants. To qualify for participation, patients with Alzheimer’s disease were required to be older than 50 years and to have met the National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer’s Disease and Related Disorders Association NINCDS/ADRDA criteria for probable Alzheimer’s disease. In addition, participants were required to have met the Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision criteria for dementia of Alzheimer’s type, with a clinical dementia rating (CDR) score of 0.5, 1, or 2. All patients with Alzheimer’s disease underwent the 18 F-florbetapir (Amyvid TM ; Eli lily and Co.) PET scan and showed moderate-to-frequent amyloid-β plaques based on visual interpretation. A detailed description of the 18 F-florbetapir PET procedure and image analysis is provided in the Supplementary material . Healthy controls were required to be male, between 20 and 30 years of age, and exhibit no signs of cognitive impairment as indicated by a CDR score of 0 and a score ≥28 on the Mini-Mental State Examination (MMSE). Additionally, participants with more than one first-degree relative with a diagnosis of Alzheimer’s disease were excluded from participation as a healthy control. Subjects who showed evidence of any other significant neurodegenerative disease, stroke, or generalized cerebrovascular disease upon clinical examination or MRI were excluded from the study. No subjects had any contraindications to MRI examination, unstable medical conditions, or history of exposure to any radiation >15 mSv/year.
Table 1

Demographics and neuropsychological results

Study IDAge at imaging (years)GenderMMSECDR 18 F-florbetapir scan
HC0126Male300
HC0222Male300
HC0325Male280
AD0166Female250.5Positive
AD0267Female261Positive
AD0366Male151Positive

CDR = clinical dementia rating score; MMSE = Mini-Mental State Examination.

Demographics and neuropsychological results CDR = clinical dementia rating score; MMSE = Mini-Mental State Examination.

MRI and SPECT procedures

Brain MRI scanning (both 3D T 1 - and T 2 -weighted images) was performed for screening and co-registration purposes to facilitate semi-quantification of SPECT findings. Subjects were pretreated with stable iodine to reduce thyroid uptake of iodo-123 approximately 30 min prior to 123 I-ABC577 injection. All subjects received a single dose of ∼185 MBq (5 mCi) of 123 I-ABC577 as a slow intravenous bolus injection followed by a 10 ml saline flush. Serial dynamic SPECT projection data were acquired using a research-dedicated three-headed SPECT system (PICKER PRISM 3000XP; Philips) fitted with low-energy, high-resolution fan-beam collimators. Imaging was performed on healthy controls during three 90-min sessions: 0–90 min (6 × 10 min, 2 × 15 min), 120–210 min (4 × 22.5 min), and 240–330 min (4 × 22.5 min) after 123 I-ABC577 injection. Alzheimer’s disease patients were imaged for 90 min at 150–240 min (4 × 22.5 min) after injection with 123 I-ABC577. Projection data were acquired using a 20% symmetric photopeak window centred on 159 keV for a total of 120 raw projection images sampled every 3°. Projection data were reconstructed with an iterative reconstruction algorithm (four iterations, 20 subsets) using an ordered subset expectation maximization (OSEM) software package, with a standardized Butterworth filter. Attenuation was corrected with Chang’s method using ellipses manually drawn on the SPECT images (linear attenuation coefficient µ = 0.11 cm −1 ). Phantom projection data in which the amount of radioactivity was known were also acquired and reconstructed to calculate a calibration factor.

Metabolism analysis

Venous sampling was performed for measurement of 123 I-ABC577 metabolism in the plasma. An intravenous line was inserted into an upper extremity vein for venous sampling. Venous blood samples were collected at 5, 15, 30, 60, 120, 180, 240, and 300 min post-injection in the healthy controls and at 180, 210, and 240 min post-injection in the Alzheimer’s disease patients. Plasma samples were processed by acetonitrile denaturation, treating 1 ml of plasma with 1 ml of acetonitrile. After vigorous mixing and centrifugation at 3000 g for 10 min, the supernatant was transferred to an autosampler vial and injected into the high-performance liquid chromatography system equipped with a Phenomenex Luna C18(2) (10 × 250 mm) at a flow rate of 4 ml/min using a gamma detector (LabLogic Systems). The mobile phase consisted of a mixture of methanol/water with 0.2% of triethylamine in a 75/25, v/v ratio. Gamma chromatograms were analysed by integration of all radioactive peaks. The percentage of the parent compound was calculated by dividing the area under the peak representing the parent compound by the sum of the area of all radioactive peaks.

Image analysis

SPECT images were analysed with the FusionViewer software package (AZE, Ltd.). All SPECT images were merged with magnetic resonance images (T 1 -weighted images). Volumes of interest were drawn on coregistered magnetic resonance images and transferred to the SPECT images. Volumes of interest were defined for the frontal cortex, parietal cortex, temporal cortex, occipital cortex, anterior cingulate, posterior cingulate, subcortical white matter, and cerebellum. Using the calibration factor calculated from the phantom projection data, the average radioactivity concentration within each volume of interest was determined. The standardized uptake value (SUV) was calculated for all regions by normalizing based on the body weight and the injected dose. These were then used to derive the SUV ratio (SUVR), which was referenced to the cerebellum. Time-activity curves were generated in SUV units (g/ml) and in SUVR units. Average SUVR values over 90 min (150–240 min for Alzheimer’s disease patients and 120–210 min for healthy controls) in the aforementioned regions are reported. The unweighted mean cortical-to-cerebellar SUVR was calculated by combining the individual values for each of the cortical regions ( Mintun ; Joshi ). Additionally, 123 I-ABC577 SPECT images were evaluated visually by an experienced nuclear medicine physician blind to subject diagnosis. Averaged SPECT images acquired over 150–240 min (patients with Alzheimer’s disease) and 120–210 min (healthy control subjects) post-injection were assessed for overall image quality and pattern of radiotracer uptake with particular attention to cortical regions known to be involved with amyloid-β deposition in Alzheimer’s disease (lateral temporal lobes, frontal cortex, cingulate cortex, parietal lobes, and precuneus). Images were scored as overall positive or negative for evidence of increased tracer uptake in these relevant cortical regions. Because of a camera issue, only two images were acquired for subject HC02 during the second imaging session. Therefore, only 45 min were used to calculate the 90 min average for this subject.

Results

To evaluate the in vitro binding affinity of 123 I-ABC577 for amyloid-β plaques, a saturation binding experiment was performed. The results of the 123 I-ABC577 saturation binding assay for post-mortem Alzheimer’s disease brain homogenates from the frontal cortex suggest that the binding is specific and saturable. The binding data were well-fitted to a single binding site (r 2 = 0.97). The K d estimated for 123 I-ABC577 was 1.83 nM, and B max was 1235 fmol/mg tissue. In vitro autoradiography to examine the 123 I-ABC577 binding profile was performed on 5 μm tissue sections from four patients with confirmed Alzheimer’s disease and one control subject. When Alzheimer’s disease brain sections from the frontal lobe containing abundant amyloid-β plaques but minimal PHF-tau were incubated with 123 I-ABC577, high-density labelling of 123 I-ABC577 compared to the control section was observed in the grey matter (site of amyloid-β deposition) ( Fig. 2 A and B). The labelling was completely blocked with an excessive concentration of ABC577, demonstrating specificity (data not shown). No difference was observed in the white matter free of amyloid-β pathology among the brain sections from Alzheimer’s disease patients and the control subject. The tracer distribution coincided with anti-amyloid-β-antibody immune staining but not with anti-tau-antibody immune staining in the amyloid-β and tau-positive hippocampal brain section ( Fig. 2 C).
Figure 2

( A ) Distinct labelling was observed on Alzheimer’s disease brain sections with abundant amyloid-β (Aβ) plaques but minimal PHF-tau. Immunostaining results in the area indicated by the white square are presented at a higher magnification. Scale bars = 0.5 mm. ( B ) Labelling was not observed on the control brain section. ( C ) Distribution of 123 I-ABC577-labeling co-localized with amyloid-β plaques but did not highlight PHF-tau pathology. ( C , top row ) Low magnification. ( C , bottom row ) High magnification from the framed areas. Scale bars = 2 mm.

( A ) Distinct labelling was observed on Alzheimer’s disease brain sections with abundant amyloid-β (Aβ) plaques but minimal PHF-tau. Immunostaining results in the area indicated by the white square are presented at a higher magnification. Scale bars = 0.5 mm. ( B ) Labelling was not observed on the control brain section. ( C ) Distribution of 123 I-ABC577-labeling co-localized with amyloid-β plaques but did not highlight PHF-tau pathology. ( C , top row ) Low magnification. ( C , bottom row ) High magnification from the framed areas. Scale bars = 2 mm. The selectivity of ABC577 binding was examined using assays consisting of 91 receptors, transporters, and ion channels. None of the receptors or transporters (e.g. dopamine transporter, serotonin receptors, GABA receptors, histamine receptors) was inhibited by more than 50% at 10-μM ABC577 concentrations (data not shown).

Biodistribution experiment

To assess the kinetic properties of 123 I-ABC577, biodistribution experiments were performed in normal rats. The biodistribution data are shown in Supplementary Table 1 . Following its injection into the tail vein, 123 I-ABC577 showed rapid distribution and blood clearance, followed by urinary and hepatobiliary elimination. 123 I-ABC577 was distributed primarily to the liver, small intestine, kidneys, and adrenals. 123 I-ABC577 penetrated the blood–brain barrier, showing excellent brain uptake (0.788 %ID/g) at 5 min post-injection. In addition, 123 I-ABC577 displayed good clearance from the normal brain (0.044 %ID/g) at 60 min post-injection. The experimental SPECT imaging agent 123 I-ABC577 for detecting amyloid-β plaques in the brain was evaluated in three healthy control subjects and three patients with Alzheimer’s disease. 123 I-ABC577 was well tolerated in the population studied. No serious adverse events or clinically significant changes in laboratory or electrocardiogram parameters were observed. Regional time—activity curves (SUV units) for 123 I-ABC577 in healthy controls are shown in Fig. 3 A. Good brain penetration was observed, with a maximum SUV around 2.5 in all regions. The binding appeared to be reversible, with rapid washout from all areas including the white matter. On the basis of the healthy controls, Alzheimer’s disease subjects were imaged for 90 min, from 150–240 min (4 × 22.5 min) post-injection, so that the SUVR was stable. Figure 3 B and C show the individual SUVR time-activity curves for the cortical average and posterior cingulate in Alzheimer’s disease patients (150–240 min) and healthy controls (0–330 min). A higher cortical-to-cerebellar SUVR in Patients AD01 and AD03 relative to the healthy controls was observed. Patient AD02 had a relatively low cortical-to-cerebellar SUVR compared to the other Alzheimer’s disease subjects but showed an obviously high SUVR in the posterior cingulate at all time points. The SUVR showed only small changes during the scan for both healthy controls and Alzheimer’s disease patients.
Figure 3

Time–activity curves for ( A ) Regional time-activity curves (SUV units) for healthy controls. Subjects were scanned for ∼330 min. ( B and C ) Individual cortical-to-cerebellar SUVR time-activity curves for cortical average ( B ) and posterior cingulate ( C ) of healthy controls (0–330 min) and Alzheimer’s disease patients (150–240 min).

Time–activity curves for ( A ) Regional time-activity curves (SUV units) for healthy controls. Subjects were scanned for ∼330 min. ( B and C ) Individual cortical-to-cerebellar SUVR time-activity curves for cortical average ( B ) and posterior cingulate ( C ) of healthy controls (0–330 min) and Alzheimer’s disease patients (150–240 min). Analyses of metabolites assayed in the venous plasma demonstrated that 123 I-ABC577 was quickly metabolized, with ∼10% of intact parent remaining at 60 min post-injection ( Supplementary Fig. 1 ). There was no evidence of any differences between healthy controls and Alzheimer’s disease patients; however, the samples from patients with Alzheimer’s disease were only collected from 180 min post-injection, and the parent fraction levels were already very low (less than 5%) by this time. In all subjects, only one peak of radiometabolite, which is much more polar than the parent compound, was detected. SPECT images of 123 I-ABC577 acquired over a 90-min period for healthy controls (120–210 min) and Alzheimer’s disease patients (150–240 min) are shown in Fig. 4 . Images were normalized to the uptake value in the cerebellum (units of SUVR) and displayed using the same colour scale range of 0.4–2.8. In Alzheimer’s disease patients, 123 I-ABC577 uptake can be seen in cortical regions known to accumulate amyloid-β including the frontal cortex, parietal cortex, temporal cortex, and cingulate cortex. In Patients AD01 and AD03, focal areas of tracer retention were observed in the posterior cingulate, precuneus, temporal cortex, and parietal cortex. Patient AD02 showed a relatively low level of tracer retention compared to the other Alzheimer’s disease subjects in the posterior cingulate, precuneus, and parietal cortex. In contrast, the healthy controls demonstrated homogeneously low non-specific binding without localization to these key regions. The white matter binding was visually low in subcortical regions in both healthy controls and patients with Alzheimer’s disease. Blinded reading of the SUVR images correctly distinguished patients with Alzheimer’s disease from healthy controls in all cases. SPECT images of different scan lengths demonstrated that scans as short as 22.5–45 min were sufficient to reliably distinguish 123 I-ABC577 uptake in Alzheimer’s disease patients from that of healthy controls ( Fig. 5 ).
Figure 4

SPECT images of SUVR images over 90 min of acquisition in three healthy controls and three Alzheimer’s disease patients. SPECT images are overlaid on individual coregistered magnetic resonance images. Axial views include the frontal lobe, anterior cingulate, posterior cingulate, insula, striatum, and lateral temporal lobe. Coronal views include the temporal lobe and posterior cingulate. Sagittal views include the anterior cingulate, posterior cingulate, and precuneus.

Figure 5

Comparison of axial SPECT images of different scan lengths (22.5, 45, and 90 min) at constant scan start time (150 min for Alzheimer’s disease and 120 min for healthy control) for one representative patient with Alzheimer’s disease (AD01) and one healthy control subject (HC01). SPECT images are overlaid on individual coregistered magnetic resonance images.

SPECT images of SUVR images over 90 min of acquisition in three healthy controls and three Alzheimer’s disease patients. SPECT images are overlaid on individual coregistered magnetic resonance images. Axial views include the frontal lobe, anterior cingulate, posterior cingulate, insula, striatum, and lateral temporal lobe. Coronal views include the temporal lobe and posterior cingulate. Sagittal views include the anterior cingulate, posterior cingulate, and precuneus. Comparison of axial SPECT images of different scan lengths (22.5, 45, and 90 min) at constant scan start time (150 min for Alzheimer’s disease and 120 min for healthy control) for one representative patient with Alzheimer’s disease (AD01) and one healthy control subject (HC01). SPECT images are overlaid on individual coregistered magnetic resonance images. Average SUVR values for over 90 min of acquisitions with 123 I-ABC577 are reported in Table 2 . In the cortical regions, there were SUVR increases of ∼20–70% in the patients with Alzheimer’s disease relative to control subjects. The difference in tracer retention in the cortical areas between Alzheimer’s disease and healthy controls was highest in the posterior cingulate (mean ± SD, 1.40 ± 0.22 versus 0.84 ± 0.04) and lowest in the occipital cortex (mean ± SD, 1.01 ± 0.11 versus 0.83 ± 0.10). The mean cortical-to-cerebellar SUVR values were 1.26 ± 0.25 and 0.80 ± 0.04 for patients with Alzheimer’s disease and healthy control subjects, respectively.
Table 2

Regional SUVR values of 123 I-ABC577 and 18 F-florbetapir

123 I-ABC577
18 F-florbetapir
Region Healthy controls ( n = 3) Alzheimer’s disease ( n = 3) Alzheimer’s disease ( n = 3)
Frontal cortex0.74 ± 0.031.22 ± 0.321.29 ± 0.13
Parietal cortex0.77 ± 0.031.23 ± 0.261.37 ± 0.21
Temporal cortex0.85 ± 0.071.39 ± 0.321.32 ± 0.15
Occipital cortex0.83 ± 0.101.01 ± 0.111.12 ± 0.25
Anterior cingulate0.78 ± 0.051.28 ± 0.301.28 ± 0.05
Posterior cingulate0.84 ± 0.041.40 ± 0.221.48 ± 0.11
Subcortical white matter0.80 ± 0.010.98 ± 0.091.62 ± 0.16
Cortical average0.80 ± 0.041.26 ± 0.251.31 ± 0.10

Data are expressed as mean ± standard deviation.

Regional SUVR values of 123 I-ABC577 and 18 F-florbetapir Data are expressed as mean ± standard deviation. Average SUVR values and PET images for 15 min of acquisitions with 18 F-florbetapir are shown in Table 2 and Fig. 6 . As reported previously, accumulation of 18 F-florbetapir can be seen in the cortical regions. Both cortical binding of 123 I-ABC577 and that of 18 F-florbetapir were greater in the posterior cingulate and temporal cortex, and lesser in the occipital cortex. The white matter binding of 123 I-ABC577 was lower than that of 18 F-florbetapir. The SUVR values for the white matter in the same Alzheimer’s disease subjects were 0.98 ± 0.09 and 1.62 ± 0.16 for 123 I-ABC577 and 18 F-florbetapir, respectively.
Figure 6

Comparison of 123 I-ABC577 SPECT images from 150–240 min post-injection ( left ) and 18 F-florbetapir PET images from 50–65 min post-injection ( middle ) in the patients with Alzheimer’s disease. Co-registered magnetic resonance images are shown on the right . Axial views include the frontal lobe, anterior cingulate, posterior cingulate, insula, striatum, and lateral temporal lobe. Sagittal views include the anterior cingulate, posterior cingulate, and precuneus.

Comparison of 123 I-ABC577 SPECT images from 150–240 min post-injection ( left ) and 18 F-florbetapir PET images from 50–65 min post-injection ( middle ) in the patients with Alzheimer’s disease. Co-registered magnetic resonance images are shown on the right . Axial views include the frontal lobe, anterior cingulate, posterior cingulate, insula, striatum, and lateral temporal lobe. Sagittal views include the anterior cingulate, posterior cingulate, and precuneus.

Discussion

The aim of the current research programme is to develop an amyloid-β imaging tracer for SPECT that is comparable in performance to PET tracers. Because of the lower operating cost and wider accessibility of SPECT relative to PET, SPECT is better suited for routine clinical use and primary screening for subjects with preclinical Alzheimer’s disease ( Sperling ). Given that the number of patients with Alzheimer’s disease is expected to increase dramatically worldwide ( Ferri ; Prince ), the development of a useful amyloid-β imaging agent for SPECT is a critical issue for society. To date, 123 I-2-(4′-dimethylaminophenyl)-6-iodo-imidazo[1,2-a]pyridine ( 123 I-IMPY) is the only tracer for SPECT that has been tested in humans ( Newberg ). However, the preliminary clinical data showed that the target-to-background ratio of 123 I-IMPY for amyloid-β plaque labelling was not as robust as that of PET tracers, making it difficult to distinguish healthy controls from patients with Alzheimer’s disease ( Kung ). Thus, there is no SPECT imaging probe available for the clinical diagnosis of Alzheimer’s disease. In this study, we first evaluated the biological potential of novel SPECT agent 123 I-ABC577 in preclinical settings. In addition, its suitability as an imaging agent for amyloid-β in the brain was examined in a SPECT study of healthy controls and Alzheimer’s disease patients. The present findings demonstrate the feasibility of non-invasive determination of amyloid-β plaques in human subjects with 123 I-ABC577. In the binding assays, unfixed frozen post-mortem human brain tissues were chosen for the saturation binding study and in vitro autoradiography for accurate prediction of in vivo binding performance in humans. 123 I-ABC577 displayed high binding affinity to homogenate prepared from the grey matter of an Alzheimer’s disease patient. The K d value of 123 I-ABC577 (1.8 nM) is very close to that of known amyloid-β imaging agents, such as 18 F-florbetapir (3.7 nM; Choi ) and 11 C-Pittsburgh compound B (1.4 nM; Mathis ), indicating that 123 I-ABC577 has enough binding affinity for amyloid-β to use in clinical tests. In vitro autoradiography studies in combination with immunohistochemistry provide support for the view that 123 I-ABC577 selectively binds to amyloid-β. In the hippocampal section examined, the distribution of 123 I-ABC577 co-localized with amyloid-β immunostaining of plaques but not with tau pathology. The off-target binding profiles were assessed further using ABC577 against various receptors, ion channels, and transporters, and no remarkable inhibition was observed at the high concentration of 10 μM. The ability to penetrate the intact blood–brain barrier is an essential factor in the success of an imaging agent for amyloid-β plaques in the brain ( Mathis ). In biodistribution studies, 123 I-ABC577 demonstrated not only high initial brain uptake but also good clearance from the normal rat brain. Because no amyloid-β plaques are expected in the healthy rat brain, the washout of tracer from the brain should be rapid to yield a higher signal-to-noise ratio earlier in the Alzheimer’s disease brain. Because SPECT is inferior to PET in terms of sensitivity and quantitative performance, SPECT radiotracers should be more sensitive and selective than PET tracers to amyloid-β plaques. Our initial preclinical characterization demonstrated that 123 I-ABC577 has promising properties with a high binding affinity and selectivity for amyloid-β plaques, as well as favourable brain kinetics in the healthy rat brain. In the clinical study, 123 I-ABC577 enabled a clear distinction between patients with Alzheimer’s disease and healthy controls. This distinction was apparent via visual assessment or a simple quantitative measure, the ratio of cortical-to-cerebellar binding. The current results suggest that, when applied after 150 min, scans as short as 22.5–45 min could be sufficient to discriminate between Alzheimer’s disease patients and healthy controls ( Fig. 5 ). In the present study, the SPECT images were obtained only from 150 min to 240 min post-injection; therefore, the optimal timing of scan initiation should be determined in a future study. In healthy controls, there was no evident difference in radioactivity between cortical regions and the cerebellum. On the other hand, in patients with Alzheimer’s disease, 123 I-ABC577 demonstrated prominent accumulation in grey matter cortical areas, such as the frontal cortex, temporal cortex, and posterior cingulate, and less accumulation in the occipital cortex. The cortical binding pattern of 123 I-ABC577 is relatively similar to that of 18 F-florbetapir in the same Alzheimer’s disease subjects, and this pattern is consistent with the known localization of amyloid-β plaques ( Braak and Braak, 1991 ) and with results from other amyloid-β radiotracers ( Rowe , 2008 ; Nyberg ). Taken together with the results of the in vitro123 I-ABC577 binding studies, the present in vivo observations suggest that 123 I-ABC577 binds specifically to amyloid-β plaques. The mean cortical-to-cerebellar SUVR for 123 I-ABC577 in Alzheimer’s disease patients was 58% greater than in healthy controls. It has been reported that the mean cortical-to-cerebellar SUVR for 18 F-florbetapir were 1.42 ± 0.24 and 1.00 ± 0.05 for Alzheimer’s disease patients and healthy controls (age: <55 years), respectively, indicating a 42% greater SUVR in Alzheimer’s disease patients relative to healthy controls ( Joshi ). Although it is difficult to directly compare the present with previous findings because of differences in resolution, study population, and evaluation methods, the present result indicates that 123 I-ABC577 has the potential to provide images in which the contrast between healthy controls and Alzheimer’s disease patients is comparable to that yielded by PET tracers. Although amyloid-β imaging radiotracers for PET that have been approved for clinical use show high non-specific binding in the white matter ( Rowe and Villemagne, 2013 ), no significant white matter uptake was observed on the 123 I-ABC577 images. In healthy controls, there was no evident difference between binding in the grey and white matter ( Fig. 4 and Table 2 ). In patients with Alzheimer’s disease, 123 I-ABC577 clearly demonstrated high radiotracer binding in extensive areas of the grey matter compared to the white matter region. On the other hand, 18 F-florbetapir showed a non-specific white matter binding that was similar to, rather than greater than, cortical binding in the same Alzheimer’s disease subjects ( Fig. 6 and Table 2 ). The lower white matter signal for 123 I-ABC577 might have been partly due to the rapid metabolism of 123 I-ABC577 in plasma, as well as low non-specific binding, as shown in the preclinical analyses. The relatively low background radioactivity indicates that 123 I-ABC577 images may yield easier and more reliable assessment in clinical practice than the currently available PET tracers. Because this was the first human study designed to evaluate the potential of 123 I-ABC577, the sample size was relatively small and we were unable to perform any statistical analysis. Furthermore, to compare specific 123 I-ABC577 binding in Alzheimer’s disease patients with the lack of specific binding in controls, young healthy controls were enrolled instead of age-matched control subjects. Further large studies involving age-matched controls are required to validate the preliminary findings of the present study and to optimize both the imaging protocol and the quantification method. In summary, we successfully designed and synthesized a novel SPECT amyloid-β imaging agent with a high affinity for amyloid-β and desirable brain pharmacokinetics. In the first such clinical study, 123 I-ABC577 demonstrated a favourable safety profile and a good ability to differentiate Alzheimer’s disease patients from healthy controls. No conspicuous accumulation of radioactivity was observed in the white matter. These preliminary data suggest that 123 I-ABC577 may be a useful SPECT imaging tool to identify amyloid-β in the human brain. The availability of a SPECT amyloid-β tracer may provide increased accessibility to an imaging diagnostic tool for Alzheimer’s disease. Click here for additional data file.
  34 in total

Review 1.  Clinical Core of the Alzheimer's Disease Neuroimaging Initiative: progress and plans.

Authors:  Paul S Aisen; Ronald C Petersen; Michael C Donohue; Anthony Gamst; Rema Raman; Ronald G Thomas; Sarah Walter; John Q Trojanowski; Leslie M Shaw; Laurel A Beckett; Clifford R Jack; William Jagust; Arthur W Toga; Andrew J Saykin; John C Morris; Robert C Green; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

2.  Global prevalence of dementia: a Delphi consensus study.

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

3.  Cerebral amyloid-β PET with florbetaben (18F) in patients with Alzheimer's disease and healthy controls: a multicentre phase 2 diagnostic study.

Authors:  Henryk Barthel; Hermann-Josef Gertz; Stefan Dresel; Oliver Peters; Peter Bartenstein; Katharina Buerger; Florian Hiemeyer; Sabine M Wittemer-Rump; John Seibyl; Cornelia Reininger; Osama Sabri
Journal:  Lancet Neurol       Date:  2011-04-08       Impact factor: 44.182

4.  Performance characteristics of amyloid PET with florbetapir F 18 in patients with alzheimer's disease and cognitively normal subjects.

Authors:  Abhinay D Joshi; Michael J Pontecorvo; Chrisopher M Clark; Alan P Carpenter; Danna L Jennings; Carl H Sadowsky; Lee P Adler; Karel D Kovnat; John P Seibyl; Anupa Arora; Krishnendu Saha; Jason D Burns; Mark J Lowrey; Mark A Mintun; Daniel M Skovronsky
Journal:  J Nucl Med       Date:  2012-02-13       Impact factor: 10.057

Review 5.  Alzheimer's Prevention Initiative: a plan to accelerate the evaluation of presymptomatic treatments.

Authors:  Eric M Reiman; Jessica B S Langbaum; Adam S Fleisher; Richard J Caselli; Kewei Chen; Napatkamon Ayutyanont; Yakeel T Quiroz; Kenneth S Kosik; Francisco Lopera; Pierre N Tariot
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

6.  Preclinical properties of 18F-AV-45: a PET agent for Abeta plaques in the brain.

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

7.  Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study.

Authors:  Victor L Villemagne; Samantha Burnham; Pierrick Bourgeat; Belinda Brown; Kathryn A Ellis; Olivier Salvado; Cassandra Szoeke; S Lance Macaulay; Ralph Martins; Paul Maruff; David Ames; Christopher C Rowe; Colin L Masters
Journal:  Lancet Neurol       Date:  2013-03-08       Impact factor: 44.182

8.  Phase 1 study of the Pittsburgh compound B derivative 18F-flutemetamol in healthy volunteers and patients with probable Alzheimer disease.

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

9.  Amyloid deposition is associated with impaired default network function in older persons without dementia.

Authors:  Reisa A Sperling; Peter S Laviolette; Kelly O'Keefe; Jacqueline O'Brien; Dorene M Rentz; Maija Pihlajamaki; Gad Marshall; Bradley T Hyman; Dennis J Selkoe; Trey Hedden; Randy L Buckner; J Alex Becker; Keith A Johnson
Journal:  Neuron       Date:  2009-07-30       Impact factor: 17.173

10.  Synthesis and evaluation of 11C-labeled 6-substituted 2-arylbenzothiazoles as amyloid imaging agents.

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

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  7 in total

1.  Bio-Evaluation of 99mTc-Labeled Homodimeric Chalcone Derivative as Amyloid-β-Targeting Probe.

Authors:  Garima Mann; Kanchan Chauhan; Vikas Kumar; Shivani Daksh; Nikhil Kumar; M Thirumal; Anupama Datta
Journal:  Front Med (Lausanne)       Date:  2022-06-17

Review 2.  Radiopharmaceuticals for PET and SPECT Imaging: A Literature Review over the Last Decade.

Authors:  George Crișan; Nastasia Sanda Moldovean-Cioroianu; Diana-Gabriela Timaru; Gabriel Andrieș; Călin Căinap; Vasile Chiș
Journal:  Int J Mol Sci       Date:  2022-04-30       Impact factor: 6.208

3.  Simultaneous Tc-99m and I-123 dual-radionuclide imaging with a solid-state detector-based brain-SPECT system and energy-based scatter correction.

Authors:  Wataru Takeuchi; Atsuro Suzuki; Tohru Shiga; Naoki Kubo; Yuichi Morimoto; Yuichiro Ueno; Keiji Kobashi; Kikuo Umegaki; Nagara Tamaki
Journal:  EJNMMI Phys       Date:  2016-06-29

4.  Fluselenamyl: A Novel Benzoselenazole Derivative for PET Detection of Amyloid Plaques (Aβ) in Alzheimer's Disease.

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

5.  First in vivo evaluation of a potential SPECT brain radiotracer for the gonadotropin releasing hormone receptor.

Authors:  Richard Fjellaksel; Ana Oteiza; Montserrat Martin-Armas; Patrick J Riss; Ole Kristian Hjelstuen; Samuel Kuttner; Jørn H Hansen; Rune Sundset
Journal:  BMC Res Notes       Date:  2018-11-15

6.  [124I]IBETA: A New Aβ Plaque Positron Emission Tomography Imaging Agent for Alzheimer's Disease.

Authors:  Grace A H Nguyen; Christopher Liang; Jogeshwar Mukherjee
Journal:  Molecules       Date:  2022-07-17       Impact factor: 4.927

7.  Changes of Regional Neural Activity Homogeneity in Preclinical Alzheimer's Disease: Compensation and Dysfunction.

Authors:  Zhen Zhang; Liang Cui; Yanlu Huang; Yu Chen; Yuehua Li; Qihao Guo
Journal:  Front Neurosci       Date:  2021-06-17       Impact factor: 4.677

  7 in total

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