Significance
Metal radiotracers exhibit beneficial properties that can improve in vivo positron emission tomography (PET) imaging over traditional radionuclides, such as longer half-lives, facile last-stage radiolabeling steps, and the potential for dual imaging-therapy applications. Among such radionuclides, 64Cu exhibits a longer half-life (t1/2 = 12.7 h) that allows for later PET imaging times and the ability to distribute 64Cu imaging agents to facilities that do not have an on-site cyclotron. Herein, we report a 64Cu PET imaging agent that shows appreciable in vivo brain uptake and exhibits high specific affinity for beta-amyloid aggregates, leading to the successful PET imaging of amyloid plaques in the brains of 5xFAD mice versus those of wild-type mice.
Keywords: Alzheimer’s disease, positron emission tomography imaging, blood–brain barrier, amyloid beta (Aβ) peptide, multivalent effect
Abstract
Herein, we report a 64Cu positron emission tomography (PET) imaging agent that shows appreciable in vivo brain uptake and exhibits high specific affinity for beta-amyloid (Aβ) aggregates, leading to the successful PET imaging of amyloid plaques in the brains of 5xFAD mice versus those of wild-type mice. The employed approach uses a bifunctional chelator with two Aβ-interacting fragments that dramatically improves the Aβ-binding affinity and lipophilicity for favorable blood–brain barrier penetration, while the use of optimized-length spacers between the Cu-chelating group and the Aβ-interacting fragments further improves the in vivo Aβ-binding specificity and brain uptake of the corresponding 64Cu PET imaging agent.
Alzheimer’s disease (AD) is the most common neurodegenerative disease resulting in cognitive impairment, memory loss, and physical disability. The major neuropathological hallmark of AD is the deposition of extracellular amyloid plaques consisting of the beta-amyloid (Aβ) peptide (1, 2), and more recently the smaller, soluble Aβ oligomers have been shown to be involved in the synapse loss and neuronal injury occurring prior to the onset of AD (3–6).
Before the development of the first positron emission tomography (PET) imaging agent Pittsburgh Compound B for the detection of amyloid plaques in humans (7, 8), a conclusive AD diagnosis relied on postmortem examination of the brain (9, 10). More recently, the Food and Drug Administration has approved three 18F PET imaging agents as Aβ probes for AD diagnosis (10–15). However, all these PET imaging agents use short-lived radioisotopes such as 11C (t1/2 = 20.4 m) and 18F (t1/2 = 109.8 m), which limit their widespread use (16). By contrast, the 64Cu radionuclide has a longer half-life (t1/2 = 12.7 h), exhibits well-established coordination chemistry (17), and various 64Cu complexes were successfully used in vivo for the PET imaging and diagnosis of various tumors (18–20) and hypoxia (21–23). While recent studies have focused on the development of Aβ-interacting 64Cu PET imaging agents that have shown Aβ-binding properties in vitro and ex vivo (13, 15, 24–28), there is still a need to develop compounds that exhibit high affinity toward Aβ aggregates, are strong chelators capable of forming 64C -complexes that are stable in vivo, and ultimately can cross the blood–brain barrier (BBB) for efficient PET imaging.
Previously we have reported Aβ-targeting bifunctional chelators (BFCs) for potential therapeutic and PET imaging applications (29–34). Herein, we report compounds containing Aβ-interacting fragments and a metal-chelating group designed based on a multivalent ligand approach and variable-length spacer strategy, which to the best of our knowledge have not been used for any radiometal PET neuroimaging agent development. Multivalent ligands commonly bind to receptors with improved affinity vs. the monovalent derivatives (35–37). In addition, the lipophilicity of the multivalent BFCs can be optimized by varying the length and type of the molecular spacer (38, 39), which can also separate the Aβ-interacting and the metal-chelating groups (40, 41). The beneficial effects of the multivalent BFCs and use of an optimal spacer employed herein leads to the successful development of a promising 64Cu PET imaging agent for the detection of amyloid aggregates in 5xFAD mice vs. wild-type (WT) mice.
Results and Discussion
The targeted BFCs consist of three parts: an Aβ-interacting fragment, a metal-chelating group, and a spacer (Scheme 1). For the Aβ-interacting fragment we chose the 2-(2-formyl-5-furanyl)-3-hydroxymethylbenzofuran moiety that was shown to bind to soluble Aβ species in vitro and in vivo (42). Importantly, this molecular structure has not been used previously for developing 64Cu-based PET imaging agents for the Aβ aggregates relevant to AD. A well-known strong Cu chelator, 1,4,7-triazacyclononane-1,4,7-triacetic acid (NOTA), was used due to its efficient 64Cu radiolabeling and in vivo stability (43, 44), and the two molecular fragments were linked with ethyl, butyl, hexyl, or ethylene glycol spacers. The synthesis of the BFCs started with 3-methylbenzofuran that was brominated for further conjugation (SI Appendix, Scheme S1). The four spacers were then connected at the 3-bromomethylbenzofuran position, followed by Suzuki coupling with 5-formyl-2-furanylboronic acid at the 2-bromobenzofuran position. After Boc group deprotection, the Aβ-interacting fragments containing the different linkers were coupled to NOTA through sequential amide coupling to generate the monovalent and divalent BFCs 6a–6d and 7a–7d, respectively (Scheme 1). The NOTA-conjugated compounds were then labeled with 64CuCl2 in NH4OAc (pH 5.5) and the 64Cu-complexes (8a–8d) were used without further purification (radiochemical yield >95%, SI Appendix, Fig. S1). The 64Cu complexes 9a–9d of the monovalent BFCs 6a–6d were also synthesized and used for log D value determination.
To evaluate the affinity of these compounds toward amyloid plaques, we treated brain sections from 3-mo-old 5xFAD mice with the nonradioactive Cu complexes 8a′–8d′. Since the Cu complexes have intrinsic fluorescence from the Aβ-interacting fragment without significant Cu-mediated fluorescence quenching (SI Appendix, Fig. S2), the brain section staining shows that 8a′–8d′ bind specifically to the amyloid plaques. This was confirmed by subsequent immunostaining with the AF594-conjugated HJ3.4 antibody (AF594-HJ3.4) that binds to a range of Aβ species (10–15), suggesting that the Cu complexes could detect the native Aβ aggregates ex vivo (Fig. 1 and SI Appendix, Fig. S3). Among the different Cu complexes, 8b′and 8c′ exhibit vivid signals and strong colocalization with the AF594-HJ3.4 antibody (Pearson’s correlation coefficients: 0.65 for 8b′, 0.59 for 8c′) (45).
We then performed ex vivo autoradiography studies to quantitatively evaluate the specificity of 64Cu-complexes 8a–8d toward Aβ aggregates using wild-type (WT) and 5xFAD mouse brain sections. After incubating the brain sections with the 64Cu-complexes, the signal intensity for the different brain sections was determined using phosphor imaging autoradiography. For the blocking studies, the brain sections were pretreated with the nonradioactive Aβ-interacting molecule 2-(2-formyl-5-furanyl)-3-hydroxymet-hylbenzofuran as a blocking agent (42). Whereas the WT brain sections treated with 8a–8d showed minimal radioactive intensity, the signal intensity was significantly higher for the 5xFAD brain sections treated with 8a–8d (Fig. 2A), indicative of specific binding of 8a–8d to the Aβ aggregates. Among them, 8b and 8c showed dramatic autoradiography contrast in the 5xFAD mouse brain sections vs. the WT mouse brain sections, leading to high 5xFAD to WT intensity ratios of 4.6 for 8b and 4.1 for 8c, respectively (Fig. 2B). Furthermore, the measured specific activity sharply decreased in the 5xFAD mouse brain sections pretreated with the blocking agent to levels comparable to those observed for the WT brain sections (Fig. 2B), further confirming that 8a–8d bind specifically to Aβ aggregates with negligible nonspecific binding to other biomolecules present in the brain tissue.
In order to confirm the multivalent ligand effect on the binding affinity toward Aβ aggregates, we compared the autoradiography images of the 5xFAD mouse brain sections incubated with the divalent (8b−8c) vs. the monovalent (9b−9c) compounds. As anticipated, the signal intensities of the divalent compounds were higher than those of the monovalent compounds, with signal intensity ratios of 1.5 (8b: 9b) and 1.6 (8c: 9c), respectively (SI Appendix, Fig. S4). These results support the multivalent strategy in our BFC design for Aβ binding, with the divalent BFCs amplifying the radioactive intensity in the AD brains.
We have also investigated the lipophilicity of 8a–8d to predict their BBB permeability by measuring the octanol–phosphate-buffered saline (PBS) partition coefficient (log D) (46). The BFCs were more lipophilic as the alkyl spacer length increased, while the ethylene glycol linker exhibited slightly lower lipophilicity [ethylene glycol (d) ∼ ethyl (a) < butyl (b) < hexyl (c), Fig. 2C]. This trend was observed in both divalent (8a–8d) and monovalent (9a–9d) BFCs, and is also correlated with the retention times observed for each 64Cu-complex by radio-high performance liquid chromatography (radio-HPLC) (SI Appendix, Fig. S1). Furthermore, the divalent compounds were more lipophilic than the monovalent compounds, likely due to the two hydrophobic Aβ-interacting fragments and one carboxylate group in the divalent molecules vs. the monovalent compound with one Aβ-interacting fragment and two carboxylate groups. In particular, the log D values of 8a–8d were in the optimal range of lipophilicity for a central nervous system drug (–0.5 ≤ log D ≤ 3.8, median value: 1.7) (47), being potentially suitable for brain imaging in in vivo applications. Therefore, the multivalent strategy in the BFC design significantly improves their lipophilicity to be favorable for BBB penetration, and this lipophilicity can be further controlled by the spacer linking the Aβ-interacting fragment(s) and the Cu-chelating group.
Before employing the developed compounds in in vivo studies, we have evaluated the cytotoxicity of the nonradioactive Cu complexes 8a′–8d′ using neuroblastoma Neuro-2a cells and the Cell Counting Kit-8 assay. Encouragingly, all compounds exhibited no cytotoxicity up to 10 μM (SI Appendix, Fig. S5), and thus these compounds are not expected to be toxic at the concentrations (<6 μM) employed in imaging applications. Next, we investigated the brain uptake and in vivo biodistribution of the 64Cu complexes 8a–8d in WT mice (CD-1). The radioactive 8a–8d were administered into the CD-1 mice via intravenous injection, and the radioactivity accumulated in each organ was determined at 2-, 60-, and 240-min postinjection (SI Appendix, Figs. S6 and S7 and Table S1). Overall, high initial uptake in each organ was observed, followed by a clearance of ∼75% of 64Cu after 4 h and along with an increase in the brain to blood ratio. Interestingly, 8c, the most lipophilic compound in the series, was trapped mostly in the lung, with an appreciable accumulation of the radioactivity even after 4 h and leading to poor brain uptake (Fig. 2D). Excitingly, 8b and 8d exhibited higher brain uptake at 2 and 60 min, with low nonspecific accumulation in the major organs (Fig. 2D). Taken together, these studies strongly suggest that 8b and 8d exhibit specific Aβ binding and high BBB penetration and thus are promising candidates for Aβ detection in vivo.
Positron Emission Tomography – Computed Tomography (PET/CT) imaging studies were then performed with age-matched WT and 5xFAD mice (n = 3 for each group), and the images were acquired from the dynamic scans for 30 min after intravenous injection of 8b and 8d (∼3-MBq doses). The axial, coronal, and sagittal PET images show that the WT mouse brains exhibit lower intensity than the 5xFAD mouse brains (Fig. 3A and SI Appendix, Fig. S8). Quantitative time–activity curves clearly reveal higher brain retention of 8b and 8d in the 5xFAD mice than those in the WT mice, with 35% higher signal intensity for 8b and 26% for 8d after 30 min, respectively (Fig. 3 B and C). In particular, a statistically significant (P = 0.0203) higher brain uptake was observed for 8b in the 5xFAD mice vs. the WT mice after 4.5 min postinjection, whereas a P = 0.0699 value was obtained for the 5xFAD mice vs. the WT mice treated with 8d (Fig. 3D). Overall, we conclude that the improved PET imaging contrast for 8b is attributable to its higher BBB permeability and Aβ-binding ability, with minimal nonspecific binding in the brain.
After the PET/CT scans, the brain uptake for 8b and 8d were quantified using a postimaging biodistribution study, followed by brain sectioning for autoradiography. Consistent with the PET imaging data, 8b provided a statistically significantly higher brain uptake (P = 0.0269) in the 5xFAD mice vs. the WT mice (Fig. 3E and SI Appendix, Fig. S9), while a larger brain-to-blood specific activity ratio was also observed for the 5xFAD vs. the WT mice injected with 8b (SI Appendix, Fig. S10). Furthermore, the signal intensity for 8b and 8d in the autoradiography studies was clearly higher in the brain sections of the 5xFAD mice vs. those of the WT mice (SI Appendix, Fig. S11), suggesting that 8b and 8d can penetrate the BBB and accumulate specifically within the amyloid plaques in the brains of 5xFAD mice.
Conclusions
In conclusion, we have synthesized a series of bifunctional chelators using a multivalent ligand approach and variable spacer strategy. The multivalent effect enhances not only the binding affinity toward Aβ species but also the lipophilicity for favorable BBB penetration, which is also controlled by the spacer used between the Aβ-targeting and the metal-chelating fragments. Based on the in vitro and biodistribution results, the 64Cu complexes 8b and 8d were selected for further in vivo PET imaging, providing high Aβ specificity and appreciable brain uptake with minimal nonspecific adsorption in the brain. Excitingly, 8b exhibited statistically significant higher brain retention in the 5xFAD mice versus the WT mice, thus holding potential as a diagnostic PET imaging agent for AD. Overall, the employed approach based on multivalent and spacer molecular design can be applied to other 64Cu-based diagnostic PET imaging applications in neurodegenerative disorders.
Methods and Materials
The general experimental methods, chemical synthesis details, and additional results are described in SI Appendix.
Mouse Brain Section Staining Analysis.
All animal studies were performed with the approval of the Institutional Animal Care and Use Committee of the University of Illinois at Urbana–Champaign and Washington University School of Medicine. To obtain mouse brain sections, 5xFAD transgenic mice (3 and 6-mo-old) were euthanized under deep anesthesia for perfusion and brain harvesting. The mice were anesthetized with isoflurane and perfused transcardially with heparinized PBS followed by brain collection. Mouse brain tissues were fixed in 4% paraformaldehyde at 4 °C overnight and then preserved in 30% sucrose (wt/vol) in PBS (pH 7.4) at 4 °C for 3 d. The brains were coronally sectioned (thickness: 50 µm) on a freezing sliding microtome. The free-floating brain sections were kept in a cryoprotectant solution of 30% ethylene glycol (vol/vol) and 15% sucrose (wt/vol) in 0.1 M phosphate buffer (pH 7.4) at –20 °C. The brain sections from age-matched WT mice were also obtained following the same procedure. For brain staining experiment, the brain sections from 3-mo-old 5xFAD mice were permeabilized in PBS with 0.25% Triton-X100 for 30 min at room temperature and washed with PBS (3 × 5 min). The brain sections were treated with premixed solutions containing 25 μM of the compounds (7a–7d) and 25 μM of CuCl2 in PBS for 1 h. After sequential washes with PBS (1 × 5 min), 50% EtOH/PBS (1 × 5 min), and PBS (3 × 5 min), the brain sections were treated with blocking solution (0.1% Triton-X100, 0.2% dry milk, and 1% BSA in PBS) at room temperature for 1 h, and then incubated with AF594-conjugated anti-Aβ antibody (AF594-HJ3.4 antibody) solution (1:1,000 dilution in blocking solution) at room temperature for 1 h. After washing with PBS (1 × 5 min), the brain sections were mounted with mounting media. Fluorescence images were visualized using an Invitrogen EVOS FL Auto 2 Imaging System equipped with excitation (470/22, 585/29 nm) and emission (510/42, 624/40 nm) light cubes for green and red channels, respectively. Colocalization analysis and determination of the Pearson’s correlation coefficient was performed with the imaging software Fiji (ImageJ 1.52p).
Radiolabeling Studies.
64Cu was produced by a (p,n) reaction on enriched 64Ni on a CS-15 biomedical cyclotron (Cyclotron Corporation) at Mallinckrodt Institute of Radiology, Washington University School of Medicine, and purified with an automated system using standard procedures (48, 49). A stock solution of 64CuCl2 was diluted with a 10-fold excess of 0.1 M ammonium acetate (NH4OAc) buffer (pH 5.5). Typical labeling of compounds was achieved by adding 20 μL of compound solutions (6a–6d or 7a–7d, 1 mM) in dimethyl sulfoxide (DMSO) into 7.4 MBq (200 μCi) of 64CuCl2 in 100 μL of 0.1 M NH4OAc (pH 5.5). The reactions were incubated on a thermomixer with 800-rpm agitation at 45 °C for 30 min. Radiolabeled compounds were analyzed by high-performance HPLC, with water (0.1% TFA) and acetonitrile (0.1% TFA) mobile phase with a gradient of 0–100% acetonitrile over 12 min with a flow rate of 1 mL/min. Divalent 64Cu-labeled complexes (8a–8d) and monovalent 64Cu-labeled complexes (9a–9d) were obtained in high radiochemical yield (> 95%) and therefore used without further purification.
Octanol/PBS Partition Coefficient (Log D) Measurements.
The 64Cu-labeled complexes (8a–8d and 9a–9d) (6–8 μL, 0.37 MBq, 10 μCi) were added to a mixture of 0.5 mL of PBS (pH 7.4) and 0.5 mL of 1-octanol. The mixtures were vortexed at 1,000 rpm for 1 h and then given 30 min for the layers to separate. Aliquots (100 μL) were withdrawn from the aqueous and 1-octanol layers and counted separately in an automated gamma counter. The partition coefficients were calculated based on the equation of log D = log ([M]oct/[M]aq). The experiment was conducted in triplicates of triplicates, and the overall average was recorded as the final log D value for each complex.
Autoradiography Studies.
Free-floating brain sections from 6-mo-old 5xFAD and aged-matched WT mice were washed with PBS (3 × 5 min) and incubated with 1.48 MBq (40 μCi) of 64Cu-labeled complexes (8a–8d) in 2 mL of PBS at room temperature for 1 h. After the incubation, the brain sections were washed with PBS (3 × 5 min), and then were transferred onto glass slides and dried under an air stream. The slides were mounted onto a phosphor imaging screen plate (GE Healthcare Life Sciences) and exposed overnight at –20 °C. The plates were scanned on a Typhoon FLA 9500 biomolecular imager (GE Healthcare) at a 25-μm resolution, and the resulting images were processed and quantified using ImageQuant TL 8.1 (GE Healthcare) and ImageJ (1.52p). The radioactivity of the autoradiographed brain sections was determined as photostimulated luminescence per unit area (mm3). For blocking experiments, the 5xFAD brain sections were incubated with 100 equiv. of the nonradiolabeled compound, 2-(2-formyl-5-furanyl)-3-hydroxymethylbenzofuran (42) for 10 min and then with 64Cu-labeled complexes (8a–8d) under the same conditions. For comparison experiments between divalent and monovalent compounds, the 5xFAD brain sections were incubated with 64Cu-labeled complexes (divalent: 8b and 8c, monovalent: 9b and 9c) under the same conditions.
Biodistribution Studies.
All animal experiments were performed in compliance with the Guidelines for Care and Use of Research Animals established by the Division of Comparative Medicine and the Animal Studies Committee of the University of Illinois at Urbana–Champaign and Washington University School of Medicine. Biodistribution studies were conducted in WT CD-1 female mice (Charles River Laboratories) of age 5–7 wk weighing 25.1 ± 1.4 g. The mice were injected with 0.22–0.37 MBq (6–10 µCi) of 64Cu-labeled complexes (8a–8d) in 100 µL saline solution via the tail vein. At 2-, 60-, 240-min postinjection, mice were euthanized by cervical dislocation (n = 3/time point), and selected organs were collected, weighed, and counted on a gamma counter containing a NaI crystal. The data were corrected for radioactive decay and percent injected dose per gram (%ID/g) of tissue was calculated. All samples were calibrated against a known standard.
PET/CT Imaging Studies.
Small-animal PET/CT imaging studies were conducted in 5xFAD and WT mice weighing 35.1 ± 5.5 g. The mice were administrated with 2.92−3.29 MBq (79–89 μCi) of 64Cu-labeled complexes (8b and 8d) in 100 µL saline solution via tail vein injection. Thus, given that the total volume of blood is ∼2.5 mL for an average size mouse, we predict that the higher limit for the plasma concentration of the injected compounds will be ∼6 μM (150 μM × 0.1 mL/2.5 mL). Mice were anesthetized with 1–2% isofluorane/oxygen and imaged on an Inveon small-animal PET/CT scanner (Siemens Medical Solutions) for 30 min. Dynamic images were collected and reconstructed with the maximum a posteriory probability algorithm followed by CT in coregistration with the Inveon Research Workstation image display software (Siemens Medical Solutions). Regions of interest were selected from PET images with the CT anatomical guidelines, and the associated radioactivity was measured using Inveon Research Workstation software and the brain uptake values were reported at [(nCi/mL)]]/[injected dose (nCi)] without normalizing to body weight. Immediately after dynamic PET/CT scanning, the mice were euthanized, and the selected organs were collected for biodistribution studies. After post-PET biodistribution analysis, the unfixed brains were sectioned sagittally into six thick slices and exposed to a phosphor imaging screen plate for autoradiography.
Statistical Analysis.
Data were processed by Origin Lab and presented as mean ± SD. Statistical analysis was performed using one-way ANOVA and Student’s t test. Differences at the 95% confidence level (P < 0.05) were considered statistically significant.
Supplementary Material
Acknowledgments
We thank Jalen Scott for generating an initial version of Fig. 3A. This work was supported by research funding from the NIH (Grant R01GM114588 to L.M.M.), Washington University Knight Alzheimer’s Disease Research Center (Pilot Award NIH P50AG05681), and the McDonnell Center for Cellular and Molecular Neurobiology at Washington University School of Medicine for a postdoctoral fellowship to H.-J.C. The PET imaging and biodistribution studies were conducted at the Malinckrodt Institute of Radiology Preclinical Imaging Facility of the Washington University School of Medicine.
Footnotes
The authors declare no competing interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2014058117/-/DCSupplemental.
Data Availability.
All study data are included in the article and SI Appendix.
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Supplementary Materials
Data Availability Statement
All study data are included in the article and SI Appendix.