Erica M.
Andreozzi‡
a,
Julia Baguña
Torres‡
a,
Kavitha
Sunassee
a,
Joel
Dunn
a,
Simon
Walker-Samuel
b,
Istvan
Szanda
a and
Philip J.
Blower
*a
aDivision of Imaging Sciences, Kings College London, St. Thomas Hospital, London, UK. E-mail: philip.blower@kcl.ac.uk
bUCL Centre for Advanced Biomedical Imaging, Division of Medicine, London, UK
First published on 18th October 2017
Alzheimer's disease can involve brain copper dyshomeostasis. We aimed to determine the effect of AD-like pathology on 64Cu trafficking in mice, using positron emission tomography (PET imaging), during 24 hours after intravenous administration of ionic 64Cu (Cu(II) acetate) and 64Cu-GTSM (GTSMH2 = glyoxalbis(thiosemicarbazone)). Copper trafficking was evaluated in 6–8-month-old and 13–15 month-old TASTPM transgenic and wild-type mice, by imaging 0–30 min and 24–25 h after intravenous administration of 64Cu tracer. Regional 64Cu distribution in brains was compared by ex vivo autoradiography to that of amyloid-β plaque. 64Cu-acetate showed uptake in, and excretion through, liver and kidneys. There was minimal uptake in other tissues by 30 minutes, and little further change after 24 h. Radioactivity within brain was focussed in and around the ventricles and was significantly greater in younger mice. 64CuGTSM was taken up in all tissues by 30 min, remaining high in brain but clearing substantially from other tissues by 24 h. Distribution in brain was not localised to specific regions. TASTPM mice showed no major changes in global or regional 64Cu brain uptake compared to wildtype after administration of 64Cu acetate (unlike 64Cu-GTSM) but efflux of 64Cu from brain by 24 h was slightly greater in 6–8 month-old TASTPM mice than in wildtype controls. Changes in copper trafficking associated with Alzheimer's-like pathology after administration of ionic 64Cu are minor compared to those observed after administration of 64Cu-GTSM. PET imaging with 64Cu could help understand changes in brain copper dynamics in AD and underpin new clinical diagnostic imaging methods.
Significance to metallomicsThe role of alterations in trafficking of copper, and other metals, as cause or consequence in dementias such as Alzheimer's is much discussed but poorly understood. This article focusses on acute changes in copper trafficking, particularly influx and efflux in brain, and how it is altered in a mouse model of Alzheimer's disease compared to normal mice, and highlights the growing opportunity to use positron emission tomography in the study of metallomics at the whole body level in animals and humans. |
Several radioisotopes of Cu are available that could assist studies of trafficking and metabolism of Cu, although they have been used surprisingly infrequently for this purpose so far. The radiotracer approach is given added power by the growing availability of positron emission tomography (PET), which allows positron-emitting radioisotopes to be used to map acute copper trafficking processes across the whole body longitudinally and non-invasively in living humans and animals. Of the available positron-emitting copper radioisotopes, 64Cu is the most practical due to its relatively long half life (t1/2 = 12.7 h) which offers a relatively large time window (2–3 days) for PET imaging. As well as electron capture (43%) and beta-emission (39%) it decays by emission of a positron (18%) with low energy that is conducive to high-resolution PET imaging.964Cu-PET has been used in rat models of Wilson's disease to show abnormalities in liver handling of copper after intravenous (IV) administration of a 64Cu–histidine complex15 or oral administration of 64Cu chloride (64CuCl2).10,16,17 There is also emerging interest in PET imaging of copper trafficking in cancer,9,18,19 possibly related to changes in Ctr1 expression which affect resistance to chemotherapy.1,20 Wang et al. investigated the influence of age on 67Cu (administered as 67CuCl2) uptake and distribution in mice using 67Cu autoradiography and radioactivity measurements in cerebrospinal fluid (CSF) and explanted brain tissue, showing reduced active copper uptake, but increased total copper, in brains of older mice.21 PET with 64Cu in the form of the bis(thiosemicarbazone) complex Cu-GTSM (glyoxalbis(N4-methyl-3-thiosemicarbazonato) copper(II)), a lipophilic bis(thiosemicarbazone) complex that delivers 64Cu to all tissues and releases it within cells by a bioreductive mechanism, was used to show changes in copper retention. Tracking the distribution of radiocopper administered in different chemical forms and by different physiological routes is key to understanding the mechanisms of copper transport and distribution in vivo in health and disease and detecting potential alterations that might have diagnostic value.
In this paper, we compare trafficking of 64Cu in a mouse model of AD-like amyloid-β plaque deposition with that in age-matched healthy control mice, during the first 24 h after administration of ionic 64Cu (64Cu-acetate) and 64Cu-GTSM. Cu-GTSM (Fig. 1) is sufficiently lipophilic to penetrate the blood–brain barrier22,23 and cell membranes, but has a relatively high Cu(II/I) redox potential which facilitates extremely rapid intracellular bioreduction and dissociation to release copper within cells,24,25 irrespective of oxygenation status. In this respect, it differs from Cu-ATSM (Fig. 1), which requires a hypoxic environment for efficient bioreductive trapping.24 Cu-GTSM was therefore expected to be non-specifically delivered to all well-perfused tissues including brain, bypassing physiological copper transporter systems and thus allowing monitoring of processes that involve efflux of copper from cells and tissues. Ionic Cu(II), on the other hand, was expected only to access cells by specific transport processes for “free” copper ions or those bound to plasma constituents. The resulting data may serve as a baseline for identifying changes in copper trafficking associated with disease states and evaluating whether PET imaging of such changes could form the basis of future clinical diagnostic methods.
For blood clearance measurements, male TASTPM and age-matched control mice (n = 3 per group) were injected via a lateral tail vein with 64Cu-GTSM or 64Cu-acetate (8–10 MBq, ≤200 μL), and aliquots of blood (10 μL) were sampled from the left jugular vein at intervals from 1 to 60 min post-injection, weighed and gamma-counted. For PET imaging studies, animals were anaesthetised by isoflurane inhalation (3%, Vet Tech Solutions Ltd), and injected with 64Cu-GTSM (n = 6) or 64Cu-acetate (n = 4) in physiological saline via a lateral tail vein (35–40 MBq, ≤200 μL). Respiration and temperature were monitored throughout all scans.
PET/CT imaging experiments were conducted using a nanoScan® PET/CT (Mediso Medical Imaging Systems, Budapest, Hungary), on mice in eight groups comprised as follows: Group 1: 6–8 month old TASTPM mice with 64Cu-acetate (n = 3); Group 2: 6–8 month old control C57BL/6J mice with 64Cu-acetate (n = 4); Group 3: 13–15 month old TASTPM mice with 64Cu-acetate (n = 3); Group 4: 13–15 month old C57BL/6J mice with 64Cu-acetate (n = 3); Group 5: 6–8 month old TASTPM mice with 64Cu-GTSM (n = 6); Group 6: 6–8 month old control C57BL/6J mice with 64Cu-GTSM (n = 4); Group 7: 13–15 month old TASTPM mice with 64Cu-GTSM (n = 3); Group 8: 13–15 month old C57BL/6J mice with 64Cu-GTSM (n = 3). Immediately after tail vein injection of the required tracer (35–40 MBq in ≤200 μL saline) the mice were placed on the scan bed in the prone position. Anaesthesia was maintained at 1.5–2% isoflurane throughout the scan. Whole-body PET imaging (400–600 keV energy window) was performed for the first 30 min post-administration, followed by a CT scan. Animals were then allowed to recover from anaesthesia and housed for 24 h with collection of urine and faeces. Mice were anaesthetised and re-scanned at 24 h post-injection for 1 h. On completion of scanning, (i.e. 25 h post-injection of tracer) mice were sacrificed by cervical dislocation and all major organs were explanted, weighed and gamma-counted (LKB Wallac 1282) to determine % ID per g. The total injected dose was defined as the sum of all whole-body counts (organs + carcass + excretion) excluding tail.
PET/CT datasets were reconstructed using three-dimensional iterative algorithms (8 iterations, 0.25 mm voxel size) and analysed using VivoQuant 1.21 software (InviCRO, LLC), co-registering PET and CT images and delineating regions of interest (ROIs) for quantification of activity in specific organs. For spine, heart, lung, liver and kidneys, a fixed volume of 20, 15, 15, 70 or 15 mm3 respectively was drawn in a representative portion of the organ. The sum of activity (MBq) within each organ volume-of-interest (VOI) was divided by the sum of the whole body activity (determined from a VOI encompassing the whole body, excluding tail) and the VOI weight (assuming a density of 1 g mL−1), yielding a representative value for organ % ID per mL. For measurements of global and regional brain uptake, a mouse brain atlas NM/CT module (InVICRO, LLC) was applied to all PET datasets. Brain ventricular uptake of 64Cu was alternatively measured by drawing a spherical fixed-volume ROI (0.3125 mm3) within the lateral ventricles. The mean and maximum concentration of activity per voxel in the ventricle ROI were divided by the ID normalised by the weight of the mouse to give mean and maximum standardised uptake values (SUVmean and SUVmax), respectively. Colour scaling method for PET images is described in the ESI.†
Following autoradiography, the frozen slices were fixed (4% paraformaldehyde for 45 min), washed (distilled water), incubated in Congo red solution (0.5% Congo red dye [Sigma Aldrich] in 50% EtOH) for 15–20 min (to visualise amyloid plaques), rinsed (distilled water), dipped 5–10 times in alkaline alcohol (1% NaOH, 50% EtOH), rinsed (water, 1 min), counterstained with Harris’ haematoxylin [Sigma Aldrich] for 10 s, rinsed (water) for 2 min, dehydrated (1 mL 3 M HCl in 200 mL 70% IMS for 1 min; 95% alcohol for 3 min, 2 changes; 100% alcohol for 3 min, 2 changes), cleared (Histo-Clear II solution [National Diagnostics] twice for 1 min each), and mounted with DPX new mounting medium (Merck Millipore). Sections were evaluated under bright-field using a DM6000 B microscope (Leica Microsystems Ltd, Bucks, UK). Autoradiographic and histological images were co-registered with software created in-house (PhosphorCount27) using the Interactive Data Language (IDL, Boulder, CO). The histology image (bright field photomicrograph) and corresponding phosphorimage (autoradiograph) were sequentially loaded onto the Phosphorcount program as GEL and TIFF files respectively. The histological images were resampled to match the lower resolution of the autoradiographs, and the paired images were co-registered by maximising the mutual information measure for the two images, generating an ‘overlay’ image in which each pixel of the autoradiograph was associated with a corresponding pixel from the histology image. Regions of interest (ROI) were then drawn to measure the autoradiographic signal (phosphor counts per mm2) residing in the lateral ventricle, other brain regions, and the whole brain.
PET imaging in 6–8 month-old wild-type mice at both 30 min and 24 h showed marked differences in whole body distribution of 64Cu after intravenous administration, between 64Cu-acetate and 64Cu-GTSM in normal mice (Fig. 3). At 30 min, mice injected with 64Cu-acetate (Fig. 3a) showed 64Cu accumulation in the liver, kidneys, and intestines. 64Cu-GTSM (Fig. 3b), on the other hand, while also showing 64Cu accumulation in the liver, kidneys and intestines, exhibited high uptake in lungs, heart, brain and spinal cord. The adrenal glands were also prominent on the images. After 24 h, the activity in the lungs, kidneys, heart and adrenals, but not brain, had decreased considerably compared to liver and intestines (Fig. 3b, Fig. 4). For 64Cu-acetate, by contrast, there was relatively little change in gross organ biodistribution between 30 min and 24 h (Fig. 3a, Fig. 4). Images obtained with the respective tracers in 13–15 month-old wild-type mice, and in TASTPM mice in both age groups, showed similar trends.
![]() | ||
Fig. 4 (a) Time-dependent ROI analysis of whole body PET of 6–8 month-old wild-type mice showing 64Cu uptake (% ID per mL) in, and clearance from, major organs (heart, lungs, kidney, liver, brain, and spine) after 64Cu-GTSM and 64Cu-acetate administration. The uptake of 64Cu in all organs except liver (and blood, see Fig. 2) was significantly higher (p < 0.001) for 64Cu-GTSM than for 64Cu-acetate at both 30 min and 24 h. In the case of 64Cu-GTSM, there is dramatic clearance of activity between 30 min and 24 h from heart, lungs, and kidney but not brain and spinal cord. Clearance of activity from brain and spinal cord was also absent or notably slower than from other tissues in the case of 64Cu-acetate. Data shown are mean ± SD (n = 4 for 64Cu-acetate; n = 6 for 64Cu-GTSM). (b) Ex vivo tissue biodistribution of 64Cu in 6–8-month-old C57BL6J mice at 24 h post-injection of 64Cu-GTSM and 64Cu-acetate. Statistically significant differences between the two tracers are indicated by *** (p < 0.001). Data are mean ± SD (n = 3 for 64Cu-acetate; n = 6 for 64Cu-GTSM). |
These qualitative impressions were supported by quantitative analysis of the whole body PET images. The % ID per mL of 64Cu in heart, lungs, kidneys, brain and spinal cord was significantly higher (p < 0.001) for 64Cu-GTSM than for 64Cu-acetate at both 30 min and 24 h (Fig. 4a and Fig. S3, S4 and Table S1, ESI†). This indicates more efficient extraction into tissues from blood in the case of 64Cu-GTSM, consistent with its faster initial clearance from blood (vide supra). While %ID per mL for 64Cu-GTSM in liver at 30 min was slightly lower than for 64Cu-acetate, it increased with time (while decreasing in the case of 64Cu-acetate) and by 24 h was similar for the two tracers. It is particularly notable that % ID per mL in heart, lung and brain at 30 min were higher for 64Cu-GTSM than 64Cu-acetate by factors of 8.4, 6.2 and 8.2 respectively. While % ID per mL values for 64Cu-GTSM in heart and lungs fell by 57% and 71% respectively between 30 min and 24 h they still remained higher at 24 h than those for 64Cu-acetate, by factors of 5.3 and 2.2, respectively. By contrast with these organs, the high uptake of 64Cu-GTSM in brain at 30 min (5.57 ± 0.77% ID per mL) did not fall significantly by 24 h (5.45 ± 0.75% ID per mL). These differences between 64Cu-acetate and 64Cu-GTSM were confirmed by ex vivo biodistribution measurements on explanted organs at 24 h (Fig. 4b).
To examine the distribution of the tracers in brains of mice in more detail, PET (Fig. 5) and digital autoradiography (vide infra, Fig. 6) were employed. Quantitative PET imaging of normal mice showed that 64Cu-GTSM delivered 64Cu to all parts of the brain very efficiently by 30 min (5.57 ± 0.77% ID per mL, n = 6), with almost complete retention at 24 h (5.45 ± 0.75% ID per mL, n = 6) and only minor variations in concentration in different regions (Fig. 5). Mapping the images onto a 3D anatomical digital brain atlas confirmed small but significant differences between regions. By contrast, 64Cu-acetate delivered a much smaller fraction of activity to brain from blood by 30 min (0.73 ± 0.03% ID per mL) and did so in a highly focal manner, with radioactivity localised selectively in the regions around the ventricles (Fig. 5), and to a lesser extent in the hypothalamus (detected by autoradiography, see Fig. 6), while in other regions uptake was much lower (averaging <0.75% ID per mL). Although regional PET quantification by co-registration with the brain atlas yielded ∼1.5% ID per mL for periventriclular uptake of 64Cu-acetate (Table S1 and Fig. S5, ESI†), the PET images show that this is grossly underestimated both because the regions in question are not adequately resolved and hence subject to partial volume effects, and because of poor registration (for example, the atlas does not include the fourth ventricle (FV)). Therefore we also compared the uptake in the ventricular regions with that in a “background” brain region (frontal cortex) using the SUVmax parameter, which although potentially more affected by noise, is less dependent on correct mapping of regions of interest and somewhat less affected by partial volume effects. By this parameter, periventricular uptake (SUVmax in range 0.5–1.5 at 30 min, i.e. close to the average for the whole body) was at least an order of magnitude higher than in the reference region (<0.1).
For both 64Cu-GTSM and 64Cu-acetate, clearance of 64Cu from total brain and spinal cord between 30 min and 24 h was less (>98% retained) than from other tissues (Fig. 4) and there was no obvious redistribution between different brain regions between 30 min and 24 h. Measurement of clearance of 64Cu-acetate from the periventricular regions between 30 min and 24 h was unreliable because of their irregular shape and small size, and the resulting difficulty in co-registering the 30 min and 24 h images with sufficient accuracy; dramatic clearance or redistribution was not observed.
Digital autoradiography of brain sections at 24 h (Fig. 6) confirmed the strongly contrasting regional distribution of 64Cu delivered as 64Cu-GTSM and 64Cu-acetate, and showed that qualitatively the focal distribution around the ventricles and hypothalamus associated with 64Cu-acetate was at least partially maintained 48 post injection. Digital autoradiography offers higher resolution than nanoPET, and by careful co-registration both manually and objectively using a computer algorithm27 of autoradiographs stained micrographs of the same section, it was possible to show that the increased activity evident on the PET scans in the ventricular regions arises from increased 64Cu concentration both within the ventricular space or choroid plexus and in the immediate sub-ventricular tissue (fimbria, see Fig. 6).
Tracking the efflux of 64Cu administered as 64Cu-acetate from the brain of each individual mouse in each group between 30 min and 24 h revealed that in 6–8 month TASTPM mice, efflux of radioactivity from brain was significant: 9.13% ± 1.28% (n = 3) of the total brain activity at 30 min was lost by 24 h in the AD mice (group 1; see Fig. 7 and Fig. S7, ESI†). In their age-matched wild-type counterparts, on the other hand (group 2), there was no significant efflux (total brain radioactivity increased by 2.4% ± 5.6%, n = 4). Efflux from the spinal cord was also greater in TASTPM mice than controls (28.5 ± 2.7 vs. 16.5 ± 4.8% decrease in spine % ID per mL). This difference in efflux was not found in the brains of 13–15 month old mice where 64Cu concentration in brain did not change significantly over time for both TASTPM and control mice (2.3% ± 4.3 and 1.5% ± 5.6% in % ID per mL), respectively.
The distribution of radioactivity within the brains of TASTPM mice was measured both by PET imaging and digital autoradiography. It was found to be similar both to that reported above for wild-type mice and to that in the age-matched wild type groups at both 6–8 months and 13–15 months of age, that is, radioactivity was mainly located around the ventricles (Fig. 8) in both age groups, and there were no significant differences in regional distribution by age or disease. However, because of the small size and irregular shape of these regions, only very major difference between age groups and between TASTPM and controls would have been detected. The spatial distribution of 64Cu in the autoradiographs showed no obvious correlation with the spatial distribution of amyloid plaques seen by Congo red staining of nearby sections (Fig. 8).
This direct comparison and distinct behaviour of 64Cu-GTSM and ionic 64Cu is important for several reasons. Recent reports have highlighted the similarity of biodistribution of copper bisthiosemicarbazone complexes such as 64Cu-ATSM with that of ionic 64Cu, leading to suggestions that the bisthiosemicarbazone complexes release ionic copper rapidly and that the biodistribution consequently observed is essentially that of ionic copper.29 The present results suggest that this is not the case and support the hypothesis that 64Cu-GTSM delivers its copper payload directly across cell membranes and the blood brain barrier, bypassing native specific or active transport mechanisms and bioreductively releasing 64Cu inside cells. The failure of 64Cu-ATSM to deliver 64Cu efficiently to brain and heart (shared by ionic 64Cu)22,29 can be explained by the hypoxia-selectivity of the Cu-ATSM complex due to its low reduction potential and slow dissociation post-reduction. Cu-GTSM is more readily reduced and dissociates more quickly after reduction and is consequently not hypoxia-selective and releases copper much more efficiently within cells. The rapid release of 64Cu within brain by this mechanism32 was supported by the observation that by 30 minutes, none of the brain copper remained in the form of Cu-GTSM.23 The present results show that, by contrast, ionic 64Cu is unable to enter most parts of the brain to a significant degree (and likewise other tissues with a high avidity for Cu-GTSM, including heart, lungs and adrenals). The contrast in biodistribution between 64Cu-acetate and 64Cu-GTSM vindicates both the choice of Cu-GTSM to begin studies of copper trafficking in disease and the hypothesis that studies of the biodistribution of ionic 64Cu alone are insufficient to understand such processes. Intravenous injection of 64Cu-acetate will lead to binding with some blood-borne copper carrier proteins, and the rate at which these equilibria are reached, compared to the rate of transport of blood to the target tissues, is not well established.1,33–35 Previous studies show that the blood half-life was changed very little when 67Cu-acetate was incubated with human serum albumin (HS) before injection;28 and it has been shown that there is much higher uptake in rat brain tissue at 4 h when 67Cu is administered intravenously in the form of 67Cu(II)–nitrilotriacetate, 64Cu-chloride or 64Cu-albumin compared to 64/67Cu(II)–ceruloplasmin sources,35,36 suggesting that ceruloplasmin has at most a minor role in Cu transport to brain tissue. Thus, studies with several different chemical forms (including plasma protein carriers such as albumin, transcuprein and ceruloplasmin35) and routes of administration will be required to identify which are directly involved in delivery to specific tissues.
The distribution of the two tracers within brain is strikingly different: 64Cu-GTSM has a high level of uptake throughout the brain while Cu-acetate has very low overall brain uptake which is confined to focal regions around the ventricles and hypothalamus. The focal uptake of 64Cu around the ventricles following 64Cu-acetate injection is consistent with some previous observations showing preferential uptake of radioactive copper in choroid plexus compared to other brain regions shortly after intravenous administration in various chemical forms.36 Studies in our laboratory by X-ray fluorescence37 have shown that the total concentration of endogenous copper is significantly higher in periventricular tissues (such as choroid plexus) than in other brain regions. Similarly, others have shown by XRF that local Cu concentrations were thousands of times higher in astrocytes of the subventricular zone compared to other cells,38 and by laser ablation-inductively coupled plasma-mass spectrometry (LA-ICPMS)39 that copper levels in the choroid plexus where higher than in other regions. The observation that the localisation of acute uptake in the periventricular region (by radionuclide tracking) spatially matches the chronic accumulated copper concentration (by XRF and LA-ICPMS) may be significant and suggests the possibility of rapid equilibration between incoming copper and the stored copper pool, which deserves further investigation. It is notable that these regions match the preferential expression of several genes implicated in copper transport and storage: high ceruloplasmin gene expression in astrocytes was suggested as a likely explanation for high Cu content in the choroid plexus in C57BL6/7 mice,39 while mRNA encoding Cu transporter-1 (Ctr1) and ATP7A was higher in the choroid plexus than in brain capillaries and parenchyma. Similarly, metallothionein was localised preferentially in the choroid plexus epithelium compared to other parts of the rat and mouse brain.3,40 On the other hand, ATP7B mRNA was particularly high in the hypothalamus.41 The resolution of the present studies, both spatially and temporally, coupled with the small size and irregular shape of the ventricles in mice, limits more detailed interpretation of the available data. However, dynamic PET with 64Cu in humans would allow more precise spatial and temporal mapping of copper trafficking in these small brain regions, unhampered by the effects of general anaesthesia, and would help to determine whether the behaviour we and others have observed reflects a possible role of cerebrospinal fluid, choroid plexus and surrounding tissues as a gateway and regulator for copper storage and transport into and out of the brain.
Another striking observation is that while acutely delivered 64Cu administered as 64CuGTSM is partially cleared from most tissues (Fig. 4a) in normal mice between 30 min and 24 h, 64Cu administered as 64Cu-acetate clearance from these tissues is much less. Notably, there is no significant clearance of radioactivity from brain of either tracer. This represents a difference between brain and other tissues that is even more marked than that seen in an earlier PET study in humans using another copper bisthiosemicarbazone complex, 62Cu-PTSM, where the biological half-life of radioactivity in brain was longer than in heart and other organs.42–44 The significance of this unique behaviour of brain is unclear at present; it could be interpreted as suggesting that the healthy brain lacks a functional mechanism to export copper, a hypothesis that deserves further investigation in the context of copper trafficking in health and dementia.
Comparison of the TASTPM Alzheimer's disease model mice with their normal age-matched counterparts as a group showed no obvious difference in mean global brain uptake of 64Cu-acetate, or its spatial distribution within the brain, in contrast to the marked differences observed previously with 64Cu-GTSM. The design of this experiment also allowed comparison of young (6–8 months) mice with older (13–15 months) mice. This showed that both in the wild-type and TASTPM groups, global brain uptake of 64Cu-acetate was significantly higher in the younger mice, consistent with a previous report using 67Cu-chloride.21 The reduction with age in acute uptake contrasts with the results of measurements of total brain copper by XRF,21 which showed significantly more copper in the brains of older mice. This could be interpreted in numerous ways, but may indicate a level of regulation of uptake related to the availability of and demand for copper within the brain.
Using 64CuGTSM for 64Cu delivery, efflux between 30 minutes and 24 h was significantly increased in TASTPM mice compared to wild type.23 A similar comparison here with 64Cu-acetate was more equivocal. There was no significant difference in average brain uptake between TASTPM and wildtype groups at either 30 min and 24 h; however, when the % clearance from brain between 30 min and 24 h was calculated for individual mice (taking advantage of the statistical advantage due to the inherent pairing of data), a trend towards greater clearance in the TASTPM mice was evident, although only in the 6–8 month age group: the % change of brain activity between 30 min and 24 h ranged from −10.0% to −8.2% in the TASTPM mice and from −2.4% to +9.0% in the wildtype mice. In the older age group, on the other hand, the respective ranges were −1.7% to +10.6% and −6.8% to +6.7% (shown graphically in ESI,† Fig. S7). The clearance of 64Cu from brain after the initial uptake deserves further investigation, including in humans, both to understand difference in copper efflux mechanisms between brain and other tissues, and to determine their relationship with age and Alzheimer's pathology.
The TASTPM mice exhibited the formation of amyloid plaques, detectable by Congo red staining, in several brain regions, but as previously observed for 64Cu-GTSM,23 those regions were not among those showing the highest uptake of 64Cu-acetate; in particular, the periventricular regions did not show particularly abundant plaque formation. In other parts of the brain, while 64Cu-GTSM showed a lack of spatial correlation (or even a negative correlation) between 64Cu uptake and plaque abundance,23 subtle variation in 64Cu uptake after 64Cu-acetate administration could not easily be measured or correlated with amyloid abundance because of low uptake. The lack of spatial correlation of 64Cu uptake with plaque abundance seen for either 64Cu-acetate or 64Cu-GTSM does not support the hypothesis that amyloid plaques sequester significant amounts of copper. This could be explained on the basis that mouse amyloid plaques do not sequester copper, or that the amyloid-bound copper is not rapidly exchangeable with exogenous copper.
Footnotes |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c7mt00227k |
‡ These authors contributed equally. |
This journal is © The Royal Society of Chemistry 2017 |