Abstract
In this longitudinal study, we non-invasively tested the hypothesis that Mn2+-enhanced MRI (MEMRI) is sensitive to age-related changes in Ca2+ influx occurring in the hippocampal region CA1. Uptake of Mn2+, an MRI contrast agent and Ca2+ surrogate with low cellular efflux rates (days to weeks), was measured in longitudinal MEMRI studies involving two separate groups of male Long-Evans rats: One group was studied at ages 2.5 and 7 mo, while the other was studied at 7 and 19 mo. Separate or combined analysis revealed that the extent of Mn2+ accumulation in CA1 significantly increased with age (P<0.05). These results provide first-time in vivo confirmation of the calcium hypothesis of aging and justify future longitudinal studies combining MEMRI with behavioral testing to investigate mechanisms of age-related cognitive decline.
Keywords: MRI, manganese, hippocampus, aging, rat, CA1
1. Introduction
Healthy aging is associated with declines in cognition that have been linked to increases in hippocampal CA1 Ca2+ influx through L-type voltage-gated Ca2+ channels (L-VGCCs) (Campbell et al., 1996; Thibault and Landfield, 1996). To-date, there have been no attempts to non-invasively measure CA1 Ca2+ influx during senescence, and this has greatly limited translational studies aimed at understanding its natural history, consequences, and potential modifiers. Here, we tested whether Mn2+-enhanced MRI (MEMRI) is sensitive to age-related increases in CA1 Ca2+ influx. In MEMRI, the contrast agent Mn2+ is systemically administered, accumulates in active neurons while the animal is awake and freely moving, and is later measured with MRI (Bissig and Berkowitz, 2011). Importantly, Mn2+ uptake occurs through L-VGCCs (Bissig et al., 2013; Cross et al., 2007; Drapeau and Nachshen, 1984).
2. Methods
Here, we analyze brain images collected from Long-Evans rats (Hilltop Labs; Scottdale, PA) that were part of a study focused on retinal physiology (Bissig et al., 2013). Two groups of rats were studied longitudinally with MEMRI. One group (n=8) was imaged as young adults (aged 2.5 mo), then imaged again in mid-adulthood (7 mo). A second group (n=7) was imaged as mid-adults (7 mo) then imaged again as old adults (19 mo). For both groups, we anticipated full clearance of accumulated Mn2+ between imaging sessions, given the ~12 d half-life for brain Mn2+ (Chuang et al., 2009). A third group of animals (n=7) were used to measure baseline MRI signal in the absence of Mn2+ injection. Those rats were studied cross-sectionally at either young (n=3), mid- (n=3), or old adulthood (n=1). All rats with a complete set of high-quality brain scans are included in the present report, encompassing a representative and relatively large subset of those studied in Bissig et al. (2013). All experiments were run in accordance with the NIH Guide for the Care and Use of Laboratory Animals.
Brain scans were collected after the retinal imaging protocol in Bissig et al. (2013) was complete. As part of that study, rats were awake, free-moving, housed alone, and periodically examined visually for signs of discomfort or distress during the 4 hr after intraperitoneal injection of 44 mg MnCl2∙4H2O / kg body weight. They were then anesthetized for the duration of MRI scans, and kept warm with a recirculating water blanket. The first 2.5 hr of scanning (mean(SD) 2.5(0.1) hr for young, 2.6(0.3) hr for mid-adult, and 2.5(0.4) hr for old adults) were spent acquiring data from each eye. Brain scans were started immediately after eye scans were complete, 7 hr after Mn2+ injection. Because the pattern of Mn2+ accumulation can be altered if immediately preceded by anesthesia (Itoh et al., 2008) the timing between Mn2+ injection and anesthesia in the present experiments was designed to allow Mn2+ accumulation to reach plateau levels in the retina (<4 hr; Tofts et al., 2010) and hippocampus (4–6 hr; Lee et al., 2005) while the animal remained awake and free-moving. Although modest additional Mn2+ enhancement has been reported beyond 12 hr post-injection for some brain regions, it is attributed to factors other than uptake via L-VGCCs, such as axonal transport of Mn2+ (Chuang and Koretsky, 2009). Because the rate of axonal transport decreases with age (Cross et al., 2008), delaying brain scans much beyond the present 7 hr post-injection time would have risked obscuring the hypothesized age-related changes in Mn2+ uptake via L-VGCCs.
To quantify CA1 Mn2+ signal intensity enhancement, we applied the ratio approach of (Van de Moortele et al., 2009) using our previous brain imaging parameters (Bissig and Berkowitz, 2011). A transmit-only whole body coil and a 2×2 phased-array receive-only surface coil placed directly on the dorsal surface of the head were used to collect brain scans on a 7 T ClinScan system controlled by Siemens’ Syngo software (Bruker BioSpin, Billerica, MA). Images were collected using a 3D turbo-FLASH sequence (flip angle 3°; repetition time (i.e. echo spacing) 7.77 ms; echo time 3.03 ms; 192 × 192 × 128 matrix; 2.50 cm × 2.50 cm × 3.32 cm field of view; providing a mediolateral × dorsoventral × rostrocaudal resolution of 130 μm × 130 μm × 260 μm) both with (TI 1500 ms) and without an inversion pulse (1 acquisition of each, requiring 11 min 12 s total). The magnetization prepared rapid acquisition gradient echo (MPRAGE) image, collected using the inversion pulse, is strongly T1 weighted. In contrast, the proton density weighted gradient echo (PDGE) image, collected without the inversion pulse, has no T1 weighting (Haase, 1990). At each time point, we divided the MPRAGE by the PDGE image, thereby removing non-biological sources of signal variability shared by both images (Van de Moortele et al., 2009), creating a map of heavily T1-weighted ratio values (RVs) for each subject (Fig.1).
Figure 1: Image Analysis.

A representative coronal slice — zoomed-in to detail the hippocampus — is shown for a control (left column) and a Mn2+-injected (middle column) mid-adult rat. The same area is shown in PDGE (top row) and MPRAGE (middle row) images, and the resultant MPRAGE/PDGE ratio map (bottom row). The bottom-most ratio maps are zoomed-out from the hippocampus (white box) to show muscle (large circle) and pituitary (small circle) regions-of-interest. In the zoomed-in images, five of the thirty 520 μm-wide perpendiculars used to sample the hippocampus (white rectangles) of each brain are shown. As denoted by the small dashes within, perpendiculars are centered on the interior white/grey matter border identified in PDGE images. This border is obscured in MPRAGE and ratio images by Mn2+-enhancement of gray matter signal (lighter grayscale; blue to green to yellow to red). The average PDGE, MPRAGE, and RV profiles from the pictured perpendiculars (figure right) show the Mn2+-independent PDGE profiles converging midway between local minimum/maximum values for proton density (i.e., the interior white/grey matter border; 0 on x-axis). Mn2+-enhancement is evident throughout MPRAGE and ratio profiles, including the CA1 layer analyzed in Figure 2 (py; green shaded area). Positions of cortex (cortical grey matter), dcw (deep cortical white matter), alv (alveus), ori (oriens layer), py (pyramidal layer), rad (radiatum layer) are derived from (Paxinos and Watson, 2007) and noted at the bottom of the profiles.
CA1 RVs were quantified in three adjacent coronal slices (within bregma −6.5 to −5.7 mm; (Paxinos and Watson, 2007)) selected by local anatomical landmarks. They were 260 μm (the thickness of a coronal slice), 520 μm, and 780 μm rostral to the caudal-most coronal slice that contained the granular layer of dentate gyrus and the pyramidal layer of CA1. In each of the three coronal slices per animal per time point, we selected ten (five per hemisphere; Fig.1) 520 μm-wide bands oriented perpendicular to local white matter. The dorsal-most of these evenly-spaced bands was positioned just lateral to the dorsal hippocampal commissure, which appears in coronal sections as an abrupt dorsomedial thickening of local white matter. The ventral-most band was placed at the level of the inferior colliculus (Fig.1). RVs were averaged within these bands to produce a profile of RV as a function of distance from local white matter, which includes both the alveus (alv) of the hippocampus and the deep cerebral white matter (dcw). These RV profiles were aligned to the interior, sub-cortical, white/grey matter border, identified based on PDGE signal intensity profiles collected with identically-placed bands. Although PDGE images lack the T1 tissue contrast that is altered by Mn2+ (Haase, 1990), the location of white matter is easily identified by its relatively lower proton density (i.e., lower signal) than surrounding grey matter. This strategy avoids confounding Mn2+ accumulation with the identification of structural borders.
Prior ex vivo demonstrations of age-related L-VGCC changes used pyramidal neurons within CA1 (Campbell et al., 1996; Thibault and Landfield, 1996). We therefore focused our analysis on CA1 RVs that encompass the ~110 μm-wide pyramidal layer (py), which is densely packed with the somas of pyramidal neurons. Limited by the present 130 μm image resolution, this was accomplished by averaging profile RVs in the section +130 to +260 μm from the interior white/grey matter border (Fig.1). Although some partial-volume averaging with adjacent layers of the hippocampus is anticipated, those within one voxel-width of the selected span — the oriens (ori), alveus (alv), and radiatum (rad) layers — are largely composed of pyramidal cell axons and dendrites. It was therefore unsurprising that alternative sampling strategies, such as a wider or narrower profile section centered on py, or choosing a section slightly off-center to py, had no effect on the conclusions of the present work (not shown).
We considered other analysis strategies to assure consistent localization and sampling of py across ages and groups. Performing a non-rotational rigid-body registration prior to region-of-interest analysis would have been based on the same local anatomical landmarks used presently, and so would not alter findings. Adding a rotation step to the rigid-body registration would correct for small (a few degrees) variability in alignment observed between subjects, but that approach would have modified signal intensities (and RVs) of py due to signal averaging (interpolation) with adjacent structures. In either case, between-subject differences in the exact positioning and curvature of py discouraged attempts to sample images based on fixed set of spatial coordinates across all subjects and times, and suggested the present approach of sampling py based on the nearby and easily-identified layer of white matter. Although a fixed set of spatial coordinates might be used if data were first spatially warped to a common atlas image, that procedure likely compromises layer-specific analysis of MEMRI data due to substantial signal averaging (interpolation) with adjacent tissue layers (Bissig and Berkowitz, 2009). Spatial warping might nevertheless have some appeal if there were dramatic age-related changes in brain size — large enough to compromise tissue identification based on fixed (e.g., rather than proportional) distances from anatomical landmarks. To assess this possibility in longitudinally-studied rats, we measured the dimensions of a box spanning from (i) the caudal border of dentate gyrus to the rostral border of the fimbria of the hippocampus, (ii) the widest mediolateral expanse of the brain within the coronal slices used for analysis, and (iii) the dorsoventral span in that same slices (dorsal-most cortex to ventral-most midbrain). As detailed in the Results section, averaged across subjects, the largest longitudinal size increase in any dimension was roughly 3%. If that percent increase were applied to the py region, we estimate that its rostrocaudal extent would increase by less than the thickness of a coronal slice (i.e., <260 μm), and its dorsoventral extent would increase by less than the available resolution in the coronal plane (i.e., <130 μm). Mediolaterally, we estimate that the thickness of py and the distance from py to its local (white matter) landmark would each increase by <4 μm (e.g., ~3% of 110 μm). In short, since estimated changes in py size were below the available image resolution, it is unlikely that brain growth compromised localization of py based on fixed distances from anatomical landmarks.
To determine if systemic Mn2+ handling was significantly altered with age, in each ratio image we measured average RVs of skeletal muscle and the anterior pituitary, tissues which do not have blood barriers. Muscle RV was measured with two spherical volumes of interest (780 μm radius; one for each side of the head) in muscle directly lateral to our CA1 measurements. Average muscle RV from these regions was used to normalize brain RVs (i.e., normalized brain RV = brain RV / muscle RV). Anterior pituitary RV was measured with two spherical volumes of interest (390 μm radius; one on each side of the midline; Holt et al., 2010).
Before testing the central hypothesis of the present work, we ran several statistical comparisons to verify the sensitivity of our imaging parameters to Mn2+ uptake, and to gauge the appropriateness of both muscle normalization and calculation of RVs from MPRAGE and PDGE signal intensities. Furthermore, since the time between Mn2+ injection and scan differed between young and old adults (mean(SD) of 6.7(0.1) hr for young, 6.9(0.6) hr for mid-, and 7.4(0.5) hr for old adults), and animal body weights increased with age (304(81) g for young, 468(53) g for mid-, and 623(76) g for old adults) we tested whether our Mn2+ uptake measurement for py was affected by either animal body weight or time between Mn2+ injection and scanning. Data from age 7 mo (the age with the most subjects and widest range of time spans between Mn2+ injection and scanning (6.4–8.5 hr)) were used for these preliminary tests, which were restricted to Mn2+-injected rats unless otherwise noted.
There are several viable statistical approaches that may be used on the present data, which were collected as an add-on to a previous study and include both cross-sectional and longitudinal components. In our preferred approach, we first test whether RVs from Mn2+-injected rats increased with age (log-transformed in all analyses to reduce skewness) using a generalized estimating equation (GEE) analysis to accommodate longitudinal measurements (Burton et al., 1998; Hanley et al., 2003; geepack library in R 3.0.1 (http://www.r-project.org)). Finding an age-related increase in py RVs among Mn2+-injected rats would support the present hypothesis — that pyramidal cell Mn2+ uptake increases with age — but should be distinguished from an age-related change in baseline MRI signal (though none is expected; El Tannir El Tayara et al., 2006). To address that possibility, we used linear regression to test for an effect of age on the RVs from uninjected controls. That step was followed by combining data from control and Mn2+-injected rats into broader GEE analyses to test for a Mn2+ injection × age interaction. A positive result for the interaction would demonstrate an age-related change in Mn2+-injected animals in significant excess of any trend present in the control group. In an alternative to the GEE analyses, we tested whether RVs from Mn2+-injected rats increased with age using a mixed-effects model (age as fixed effect, individual as random effect; lme4 and lmerTest libraries in R). Slope estimates from Mn2+-injected rats (mixed-effects model) versus control rats (linear regression) were then compared using the t test for parallelism (Kleinbaum and Kupper, 1978), such that a positive result would demonstrate an age-related change in Mn2+-injected animals in significant excess of any trend present in the control group. The effects of Mn2+ injection, age, and the interaction were also tested on muscle RVs and muscle-normalized pituitary RVs. Where these analyses showed an effect of age, we clarified changes from young to mid- and mid- to old adulthood with t-tests. Results were considered significant at P<0.05.
3. Results
We evaluated age-related changes in brain size relevant to analysis of CA1 by measuring the dimensions of a box spanning (i) from caudal dentate gyrus to rostral fimbria, and (ii) the mediolateral expanse and (iii) the dorsoventral expanse of the brain in coronal slices. At age 2.5 mo, these dimensions (mean±s.e.m.) were (i) 6.18±0.10 mm, (ii) 15.22±0.04 mm, and (iii) 8.15±0.08 mm. Among those rats, between 2.5 and 7 mo dimensions increased (i) by 0.20±0.13 mm (3.2%; paired two-tailed t-test P>0.1) to reach 6.37±0.07 mm, (ii) by 0.42±0.12 mm (2.7%; P=9e-3) to reach 15.64±0.09 mm, and (iii) by 0.18±0.07 mm (2.2%; P=0.04) to reach 8.33±0.06mm. Those rats first studied at age 7 mo initially showed similar dimensions (each P>0.05); (i) 6.39±0.05, (ii) 15.31±0.13, and (iii) 8.23±0.10. Between 7 and 19 mo, dimensions non-significantly trended higher (i) by 0.19±0.11 mm (2.9%; P>0.1) to reach 6.57±0.09 mm, (ii) by 0.32±0.19 mm (2.1%; P>0.1) to reach 15.63±0.15 mm, and (iii) by 0.08±0.10 mm (0.9%; P>0.4) to reach 8.30±0.07 mm. In short, we detected only minimal longitudinal growth of the gross brain area containing hippocampus.
In our assessment of image sensitivity to Mn2+ using mid-adult rats, we found that Mn2+-injected rats had higher RVs than uninjected controls at muscle, anterior pituitary, and the py layer of CA1 (all P<0.05). Consistent with expectations (Haase, 1990), this effect was driven by group differences in brain MPRAGE signal intensities (all locations P<0.05), since the T1-independent PDGE signal intensities were no different in Mn2+-injected and control rats (all locations P>0.2). PDGE and MPRAGE signal intensities were strongly correlated at each location (all r>0.92, P<0.05), consistent with their shared sources of hardware-related signal variability, which are removed by calculating RVs. Modest correlations between each regions’ pre-normalization RVs were expected (muscle and py, r=0.82, P=2e-4; muscle and pituitary, r=0.46, P=0.08; py and pituitary r=0.49, P=0.06), representing a source of variability removed by muscle normalization. After muscle normalization, there was no correlation between pituitary and py RVs (r=0.15, P>0.5). We found no relationship between muscle-normalized py RVs and either body weight (r=0.07, P>0.7) or the time between Mn2+ injection and scanning (r=−0.39, P>0.1).
In support of the present hypothesis, GEE analysis of data from Mn2+-injected rats demonstrated that RVs from the py layer of CA1 significantly increased with age (P=2.2e-5; slope estimate ± standard error of 0.046±0.011 per unit age, in ln(months); Fig.2). The same analysis applied to muscle and pituitary RVs demonstrated that both were stable with age (both P>0.2; Fig.2), arguing that systemic handling of Mn2+ is independent of age. Mixed-effect models similarly showed a significant effect of age on py RVs (P=4e-4; 0.046±0.011 per ln(months)) but not muscle and pituitary RVs (both P>0.3). Increases in py RVs from Mn2+-injected rats were noted both from young to mid-adulthood and mid- to old adulthood (paired two-tailed t-tests; respectively P=0.020 and P=0.047). Comparing Mn2+-injected rats first studied at age 2.5 mo with those first studied at age 7 mo (unpaired two-tailed t-test), we similarly found py RVs increased from young to mid-adulthood (P=0.034). That finding is consistent with the similar 7 mo values from each sub-group (i.e., in Fig.1, ● vs ○ at age 7 mo; P>0.7), suggesting that the history of Mn2+ exposure had no effect on the present results. When pituitary and muscle RVs of Mn2+-injected rats were analyzed with the same battery of t-tests, no significant differences were found (all P>0.1), consistent with GEE analyses showing no effect of age on RVs from these negative-control regions.
Figure 2: Analysis of Age-related Changes in CA1 Mn2+ Uptake.

Muscle RVs and muscle-normalized pituitary RVs were higher in Mn2+-injected (● and ○, depending on age at first scan) than control rats (grey ■), but were not affected by age. Muscle-normalized RVs from CA1 pyramidal cells (py layer, see Figure 1) increased significantly with age in Mn2+-injected rats, but not in controls. This demonstrates that CA1 pyramidal cell Mn2+ uptake increases with age. In each plot, a black line connects longitudinal measurements from the same subject. Background gray lines and shaded areas denote best-fit lines and 95% confidence intervals.
Visual inspection (Fig.2) suggested that the robust age effect at py was unrelated to changes in tissue baseline. Among uninjected controls, no effect of age on muscle, pituitary, or py RVs was found in linear regression analyses (for each, −0.50<r<0.11 and P>0.2). For py, the aging pattern of uninjected controls (slope estimate ± standard error of −0.002±0.012 per ln(month)) appeared distinct from the pattern in Mn2+-injected rats. This impression was supported by GEE models including both Mn2+-injected and uninjected control data, which showed that Mn2+-injected rats’ age-related increase in py RVs was in significant excess of the control trend (Mn2+ injection × age interaction; P=5e-5). Neither muscle nor pituitary showed this pattern (interaction P>0.05 for both) despite clear evidence of Mn2+ enhancement (i.e., higher RVs in Mn2+-injected than controls; main effect; P<4e-7 for muscle, pituitary, as well as py). Tests for parallelism between mixed-model slope estimates (e.g., 0.046±0.011 at py) and slope estimates for uninjected controls (e.g., −0.002±0.012 at py) were in good agreement with GEE results: Mn2+-injected and control rat RVs had significantly different relationships to age at py (P=0.042) but not at pituitary or muscle (both P>0.2).
4. Discussion
Our major finding is that in vivo Mn2+ uptake significantly increased with age in the py portion of CA1, where the pyramidal cell somas are located. Our scope was tightly focused by previous work demonstrating age-related changes CA1 pyramidal cell L-VGCCs (Campbell et al., 1996; Thibault and Landfield, 1996). Since L-VGCCs are a dominate influx path for Mn2+ uptake (Bissig et al., 2013; Cross et al., 2007; Drapeau and Nachshen, 1984), our results are consistent with this literature. Based on the present results supporting this ‘Ca2+ hypothesis of aging’, it is now possible to test, for example, whether the level of Mn2+ uptake in mid-adulthood predicts the magnitude of behavioral declines into old adulthood. These results highlight, for the first time, the potential usefulness of MEMRI in the context of the aging hippocampus.
Although the present study is the first to assess age-related changes in hippocampal ion influx with MEMRI, a prior study by Kuo and colleagues (2010) described an age-related increase in hypothalamic Mn2+ uptake in mice. These findings, combined with the work Das and Ghosh (1996) — who reported that the rat hippocampus, cortex, and putamen all show similar age-related increases in systemically injected 45Ca2+ uptake — imply that age-related increases in ion influx are widespread throughout the brain. Future MEMRI studies may evaluate this possibility, but would need to address several factors not applicable to the hippocampus. First, even from young to mid-adulthood, age-related increases in blood brain barrier (‘BBB’) permeability have been documented in the cerebellum, hypothalamus, and parts of the neocortex (Saija et al., 1992). As discussed by Kuo and colleagues (2010), such an increase in BBB permeability may complicate interpretation of age effects by increasing neuronal exposure to circulating Mn2+ and thereby potentially inflating uptake. Conversely, age-related increases in Mn2+ uptake via L-VGCCs may be harder to detect in regions like the parietal cortex, basal ganglia, and superior colliculus, which reportedly undergo age-related decreases in BBB permeability (Goldman et al., 1992). One advantage of the present study’s narrow focus on the hippocampus is the widely-reported stability of hippocampal BBB permeability throughout healthy aging (Goldman et al., 1992; Rapoport et al., 1979; Saija et al., 1992; Sankar et al., 1983; Öztas et al., 1990). Non-neuronal factors besides BBB permeability, including imaging methods and age-related changes in hemodynamics or systemic availability of Mn2+, are somewhat easier to address because of their widespread effects. The present finding that there are no age-related changes in Mn2+ uptake at the anterior pituitary or muscle (both lack a BBB) argue that the findings in py are not confounded by a change in Mn2+ availability or hemodynamics, and are somewhat specific to the selected hippocampal region.
The present study was suggested by a body of literature describing an age-related increase in L-VGCCs on hippocampal neurons (Thibault and Landfield, 1996; Veng and Browning, 2002), which we hypothesized would increase Mn2+ uptake. Of note, MEMRI has previously been used to measure neuronal activity (e.g., Bissig and Berkowitz, 2011) based on the preferential opening of L-VGCCs in active versus inactive neurons. For this reason, it was important to consider the potential influence of neuronal activity on the present results. Anesthesia could change neuronal activity, and because each rat was anesthetized for a retinal imaging protocol (Bissig and Berkowitz, 2013) completed immediately prior to brain imaging, we considered the possible influence of protocol anesthesia and timing on the present findings. The period of anesthesia prior to brain scans was very consistent between age groups, with mean durations falling between 2.5 and 2.6 hr, making it an unlikely confound on the present findings. Moreover, it is likely that hippocampal Mn2+ uptake reached plateau in the hours between Mn2+ injection and the start of anesthesia (Lee et al., 2005), and the present measurements would therefore reflect uptake in the period when rats were awake and free-moving. Because py RVs were not correlated with the total time between Mn2+ injection and scanning, we find it unlikely that the somewhat longer duration in old adults influenced results. We also note that total time between Mn2+ injection and scanning was very similar between young and mid-adults, and both cross-sectional and longitudinal comparisons of Mn2+ uptake showed a robust increase in py uptake in that period of adulthood, consistent with previous work (Karst et al., 1997). Although we noted no gross age differences in behavior in the time between Mn2+ injection and anesthesia, it is difficult to rule out subtle behavioral differences without objective measures (e.g. video recording). We nevertheless find it unlikely that the age-related ~10% increase in py RVs can be explained by changes in neuronal activity: Activity-related Mn2+ uptake appears to alter brain RVs by a more modest ~3% (visual system; measured using identical image parameters; Bissig and Berkowitz, 2011), and, critically, baseline rates of adult rat CA1 neuronal activity appear unaffected by aging (Barnes et al., 1983).
Our study design utilized both cross-sectional and longitudinal comparisons. One of the concerns in longitudinal MEMRI studies is the potential for Mn2+ toxicity, which has been reported at much higher doses than used in the present work (Silva et al., 2004). To test whether a history of Mn2+ exposure affected results, we compared 7 mo rats that had previously been injected with Mn2+ (at 2.5 mo) to those that were first studied at 7 mo. We found no differences in RVs at muscle, pituitary, or py, nor in measurements of brain size, suggesting that a single dose of 44 mg MnCl2∙4H2O / kg (i.e., 0.22 mmol Mn2+/kg) is benign. This is consistent with previous reports showing no effect on a sensitive behavioral measurement of hippocampal function following a similar dose (0.20 mmol Mn2+/kg; Jackson et al., 2011), nor histological signs of hippocampal toxicity from a higher dose than used presently (0.50 mmol Mn2+/kg, Eschenko et al., 2010). The apparently lack of toxicity with the present dose of Mn2+ suggests the possibility of future human MEMRI studies aimed at testing the calcium hypothesis of aging. Despite the apparent safety of low-dose MnCl2 as a human MRI contrast agent for some organs (e.g., for liver ~0.05 mmol Mn2+/kg orally (Albiin et al., 2012), or for heart 0.005 mmol Mn2+/kg intravenously (Fernandes et al., 2011)), we are not aware of any study exploring use of this compound in human brain imaging. Human studies are nevertheless plausible using the FDA-approved Mn2+-based contrast agent Teslascan (Mangafodipir trisodium, Mn-DPDP): In rats, we have previously shown human-safe doses of Teslascan are sufficient to detect activity-dependent differences in Mn2+ uptake at the neural retina (Tofts et al., 2010). If human MRI studies can demonstrate a similar level of central nervous system Mn2+ uptake using Teslascan, it should be possible to non-invasively test the calcium hypothesis of aging in humans.
Although we did not investigate the underlying molecular causes of the age-related increase in CA1 ion influx, it is plausibly related to an age-related increase in expression of the α1D L-VGCC isoform at CA1 (Veng and Browning, 2002): We recently reported a similar age-related increase in α1D expression at the retina that coincided with increased Mn2+ uptake (Bissig et al. 2013). Further study is warranted to investigate whether the hippocampus and retina share common mechanisms of aging. The present findings lay the foundation for future MRI studies using Mn2+ as a biomarker to non-invasively explore the natural history of, and interventions aimed at altering, age-related changes in neuronal Ca2+ regulation.
Acknowledgements
Supported by NIH EY018109 (BAB), Juvenile Diabetes Research Foundation (BAB), NIH AG034752 (DB), Wayne State University School of Medicine MD/PhD program (DB), and an unrestricted grant from Research to Prevent Blindness (Kresge Eye Institute).
Abbreviations:
- MEMRI
manganese-enhanced magnetic resonance imaging
- L-VGCC
L-type voltage-gated Ca2+ channel
- MPRAGE
magnetization prepared rapid acquisition gradient echo
- PDGE
density weighted gradient echo
- RV
ratio value
- SI
signal intensity
- dcw
deep cortical white matter
- alv
alveus
- ori
oriens layer
- py
pyramidal layer
- rad
radiatum layer
- lmol
lacunosum moleculare
- GEE
generalized estimating equation
References
- Albiin N, Kartalis N, Bergquist A, Sadigh B, Brismar TB, 2012. Manganese chloride tetrahydrate (CMC-001) enhanced liver MRI: evaluation of efficacy and safety in healthy volunteers. MAGMA 25, 361–368. [DOI] [PubMed] [Google Scholar]
- Barnes CA, McNaughton BL, O’Keefe J, 1983. Loss of place specificity in hippocampal complex spike cells of senescent rat. Neurobiol. Aging 4, 113–119. [DOI] [PubMed] [Google Scholar]
- Bissig D, Berkowitz BA, 2009. Manganese-enhanced MRI of layer-specific activity in the visual cortex from awake and free-moving rats. Neuroimage 44, 627–635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bissig D, Berkowitz BA, 2011. Same-session functional assessment of rat retina and brain with manganese-enhanced MRI. Neuroimage 58, 749–760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bissig D, Goebel D, Berkowitz BA, 2013. Diminished vision in healthy aging is associated with increased retinal L-type voltage gated calcium channel ion influx. PloS ONE 8, e56340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burton P, Gurrin L, Sly P, 1998. Extending the simple linear regression model to account for correlated responses: an introduction to generalized estimating equations and multi-level mixed modelling. Stat. Med. 17, 1261–1291. [DOI] [PubMed] [Google Scholar]
- Campbell LW, Hao SY, Thibault O, Blalock EM, Landfield PW, 1996. Aging changes in voltage-gated calcium currents in hippocampal CA1 neurons. J. Neurosci. 16, 6286–6295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chuang KH, Koretsky AP, 2009. Accounting for nonspecific enhancement in neuronal tract tracing using manganese enhanced magnetic resonance imaging. Magn. Reson. Imaging, 27, 594–600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chuang KH, Koretsky AP, Sotak CH, 2009. Temporal changes in the T1 and T2 relaxation rates (ΔR1 and ΔR2) in the rat brain are consistent with the tissue-clearance rates of elemental manganese. Magn. Reson. Med. 61, 1528–1532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cross DJ, Flexman JA, Anzai Y, Sasaki T, Treuting PM, Maravilla KR, Minoshima S, 2007. In vivo manganese MR imaging of calcium influx in spontaneous rat pituitary adenoma. AJNR Am. J. Neuroradiol. 28, 1865–1871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cross DJ, Flexman JA, Anzai Y, Maravilla KR, Minoshima S, 2008. Age-related decrease in axonal transport measured by MR imaging in vivo. Neuroimage 39, 915–926. [DOI] [PubMed] [Google Scholar]
- Das N, Ghosh S, 1996. The effect of age on calcium dynamics in rat brain in vivo. Mech. Ageing Dev, 88, 17–24. [DOI] [PubMed] [Google Scholar]
- Drapeau P, Nachshen DA, 1984. Manganese fluxes and manganese-dependent neurotransmitter release in presynaptic nerve endings isolated from rat brain. J. Physiol. 348, 493–510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- El Tannir El Tayara N, Delatour B, Le Cudennec C, Guégan M, Volk A, Dhenain M,. 2006. Age-related evolution of amyloid burden, iron load, and MR relaxation times in a transgenic mouse model of Alzheimer’s disease. Neurobiol. Dis. 22, 199–208. [DOI] [PubMed] [Google Scholar]
- Eschenko O, Canals S, Simanova I, Logothetis NK, 2010. Behavioral, electrophysiological and histopathological consequences of systemic manganese administration in MEMRI. Magn. Reson. Imaging 28, 1165–1174. [DOI] [PubMed] [Google Scholar]
- Fernandes JL, Storey P, da Silva JA, de Figueiredo GS, Kalaf JM, Coelho OR, 2011. Preliminary assessment of cardiac short term safety and efficacy of manganese chloride for cardiovascular magnetic resonance in humans. J. Cardiovasc. Magn. Reson. 13:6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goldman H, Berman RF, Gershon S, Murphy S, Morehead M, Altman HJ, 1992. Cerebrovascular permeability and cognition in the aging rat. Neurobiol. Aging 13, 57–62. [DOI] [PubMed] [Google Scholar]
- Haase A, 1990. Snapshot FLASH MRI. Applications to T1, T2, and chemical-shift imaging. Magn Reson. Med. 13, 77–89. [DOI] [PubMed] [Google Scholar]
- Hanley JA, Negassa A, Edwardes MD, Forrester JE, 2003. Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation. Am. J. Epidemiol. 157, 364–375. [DOI] [PubMed] [Google Scholar]
- Holt AG, Bissig D, Mirza N, Rajah G, Berkowitz B, 2010. Evidence of key tinnitus-related brain regions documented by a unique combination of manganese-enhanced MRI and acoustic startle reflex testing. PLoS ONE 5, e14260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Itoh K, Sakata M, Watanabe M, Aikawa Y, Fujii H, 2008. The entry of manganese ions into the brain is accelerated by the activation of N-methyl-d-aspartate receptors. Neuroscience 154, 732–740. [DOI] [PubMed] [Google Scholar]
- Jackson SJ, Hussey R, Jansen MA, Merrifield GD, Marshall I, Maclullich A, Yau JL, Bast T, 2011. Manganese-enhanced magnetic resonance imaging (MEMRI) of rat brain after systemic administration of MnCl2: Hippocampal signal enhancement without disruption of hippocampus-dependent behavior. Behavioural Brain Research, 216(1), 293–300. [DOI] [PubMed] [Google Scholar]
- Karst H, Werkman TR, Struik M, Bosma A, Joëls M, 1997. Effects of adrenalectomy on Ca2+ currents and Ca2+ channel subunit mRNA expression in hippocampal CA1 neurons of young rats. Synapse, 26, 155–164. [DOI] [PubMed] [Google Scholar]
- Kleinbaum DG, Kupper LL, 1978. Applied Regression Analysis and Other Multivariable Methods. Duxbury Press, North Scituate, Massachusetts. [Google Scholar]
- Kuo YT, So PW, Parkinson JR, Yu WS, Hankir M, Herlihy AH, Goldstone AP, Frost GS, Wasserfall C, Bell JD, 2010. The combined effects on neuronal activation and blood-brain barrier permeability of time and n-3 polyunsaturated fatty acids in mice, as measured in vivo using MEMRI. Neuroimage, 50, 1384–1391. [DOI] [PubMed] [Google Scholar]
- Lee JH, Silva AC, Merkle H, Koretsky AP, 2005. Manganese-enhanced magnetic resonance imaging of mouse brain after systemic administration of MnCl2: Dose-dependent and temporal evolution of T1 contrast. Magn. Reson. Med. 53, 640–648. [DOI] [PubMed] [Google Scholar]
- Öztas B, Kaya M, Camurcu S, 1990. Age related changes in the effect of electroconvulsive shock on the blood brain barrier permeability in rats. Mech. Ageing Dev, 51, 149–155. [DOI] [PubMed] [Google Scholar]
- Paxinos G, Watson C, 2007. The Rat Brain in Stereotaxic Coordinates, sixth ed. Elsevier, Amsterdam. [Google Scholar]
- Rapoport SI, Ohno K, Pettigrew KD, 1979. Blood-brain barrier permeability in senescent rats. J. Gerontol. 34, 162–169. [DOI] [PubMed] [Google Scholar]
- Saija A, Princi P, Imperatore C, De Pasquale R, Costa G, 1992. Ageing influences haloperidol-induced changes in the permeability of the blood-brain barrier in the rat. J. Pharm. Pharmacol. 44, 450–452. [DOI] [PubMed] [Google Scholar]
- Sankar R, Blossom E, Clemons K, Charles P, 1983. Age-associated changes in the effects of amphetamine on the blood-brain barrier of rats. Neurobiol. Aging, 4, 65–68. [DOI] [PubMed] [Google Scholar]
- Silva AC, Lee JH, Aoki I, Koretsky AP, (2004). Manganese-enhanced magnetic resonance imaging (MEMRI): Methodological and practical considerations. NMR Biomed. 17, 532–543. [DOI] [PubMed] [Google Scholar]
- Thibault O, Landfield PW, 1996. Increase in single L-type calcium channels in hippocampal neurons during aging. Science 272, 1017–1020. [DOI] [PubMed] [Google Scholar]
- Tofts PS, Porchia A, Jin Y, Roberts R, Berkowitz BA, 2010. Toward clinical application of manganese-enhanced MRI of retinal function. Brain Res. Bull. 81, 333–338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Van de Moortele PF, Auerbach EJ, Olman C, Yacoub E, Uğurbil K, Moeller S, 2009. T1 weighted brain images at 7 tesla unbiased for proton density, T2* contrast and RF coil receive B1 sensitivity with simultaneous vessel visualization. NeuroImage 46, 432–446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Veng LM, Browning MD, 2002. Selective alterations in expression of the α1D subunit (Cav1.3) of L-type calcium channels in the hippocampus of aged rats. Mol. Brain Res. 107, 120–127. [DOI] [PubMed] [Google Scholar]
