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1From the Departments of Anatomy and Cell Biology and 2Ophthalmology, Wayne State University, Detroit, Michigan.
| Abstract |
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METHODS. In control rats, high-resolution images were collected with or without systemic injection of MnCl2 during light or dark adaptation; inner and outer retinal signal intensities were compared. In separate experiments, 1 month after systemic administration of MnCl2 to awake dark-adapted control rats, possible toxic effects of Mn2+ on ocular health were assessed with the use of the following metrics: retinal layer thickness, intraocular pressure, and blood retinal barrier integrity.
RESULT. In nonmanganese-injected rats, the signal intensity difference between light and dark states for inner and outer retina was not significantly different (P > 0.05). In contrast, after manganese administration, the change in outer retinal signal intensity under light/dark conditions was significantly greater than that of inner retina. At 1 month after MnCl2 injection, comparisons with controls revealed no evidence for deleterious ocular health effects as assessed by whole and inner retinal thickness, intraocular pressure, and blood retinal barrier integrity.
CONCLUSIONS. The present MEMRI examination was a safe (i.e., nontoxic) and relatively straightforward procedure that appeared to robustly reflect layer-specific retinal ion demand that correlates with normal retinal physiology responses associated with light and dark visual processing. Comprehensive MEMRI measures of retinal ion demand may be envisioned in a range of animal models for the study of normal development and aging.
Metabolism in mammalian retinal cells is strongly linked with changes in the demand and subsequent distribution of ions. This metabolicion axis plays a central role in normal retinal function, including photoreceptor transduction, retinal neuronal transmitter release, regulation of gap-junction conductance, and modulation of postsynaptic potentials in retinal ganglion cells. However, current methods are unable to analytically and specifically measure in vivo normal changes in receptoral and postreceptoral ion demand with light/dark adaptation.
Recent studies in the brain have made use of manganese (Mn2+) ion as an essential trace element, an ion surrogate, and a strong MRI contrast agent for functional manganese-enhanced MRI (MEMRI).3 In these animal experiments, MnCl2 was administered during a functional task performed outside the magnet, and the resultant accumulation and retention of Mn2+ ions in activated brain structures was subsequently detected noninvasively from the resultant enhancements evident in T1-weighted MRI.3 4 The spatial accuracy of MEMRI has been validated against the most common fMRI method, blood oxygenation leveldependent (BOLD) contrast, during a brain functional task.5 MEMRI studies of function-dependent accumulation of Mn2+ ion has the further advantage of allowing acquisition of very high spatial resolution images with enhancements that are independent of changes in hemodynamics. It is not yet known whether similar MEMRI procedures could be applied to study normal retinal ion demand associated with a functional task such as light/dark adaptation.
In this study, we tested the hypothesis that high-resolution (23.4 µm intraretinal resolution) MEMRI can be used to accurately and precisely measure cellular demand for ions during light/dark adaptation simultaneously in the inner retina (containing ganglion cells and inner plexiform and inner nuclear layers) and the outer retina (containing outer nuclear layer and photoreceptors).
| Methods |
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Light/Dark Adaptation
Sprague-Dawley rats (each weighing 200250 g) were housed and maintained in normal laboratory lighting or total darkness for 20 hours. During dark adaptation, all procedures (e.g., weighing animal, injecting MnCl2, anesthesia for MRI, and MRI examination) were conducted in dim red light or darkness. MnCl2 was administered as an intraperitoneal injection (44 mg/kg) to awake rats. These rats were maintained awake in light or dark conditions for another 3.5 hours, then anesthetized and imaged (MEMRI study), or they were returned to normal 12-hour cycled lighting conditions for another month (toxicity study).
Intraocular Pressure
Intraocular pressure (IOP) was measured with the use of a hand-held tonometer (Tonopen XL; Medtronic Ophthalmics, Jacksonville, FL). Ten to 15 readings were averaged per urethane-anesthetized rat.
MRI Data Acquisition
High-Resolution MRI.
Immediately before the MRI experiment, rats were anesthetized using urethane (36% solution, intraperitoneally, 0.083 mL/20 g animal weight, prepared fresh daily; Aldrich, Milwaukee, WI). To maintain the core temperature, a recirculating heated water blanket was used. Rectal temperatures were continuously monitored throughout each experiment, as previously described.6 Intraocular pressure was measured from each rat using a tonometer (Tonopen XL; Medtronic Ophthalmics). MRI data were acquired (4.7 T Avance; Bruker, Billerica, MA) system using a two-turn transmit/receive surface coil (1-cm diameter) placed over an eye. In some rats, left and right eyes were studied sequentially. Retinal thickness and signal intensity data were not different between left and right eyes (data not shown) and were respectively averaged for further analysis. Images were acquired using an adiabatic spin-echo imaging sequence (repetition time [TR], 350 seconds; echo time [TE], 16.7 milliseconds; number of acquisitions [NA], 16; sweep width, 61,728 Hz; matrix size, 256 x 512; slice thickness, 600 µm; field of view, 12 x 12 mm2; 23 minutes/image).7 A single transverse slice through the center of the eye (based on sagittal localizer images collected using the same adiabatic pulse sequence described) was obtained for each rat.
Toxicity Studies.
Dark-adapted control rats were injected intraperitoneally with manganese chloride 1 month before the study. Four hours after injection, rats were returned to ambient laboratory/lighting and were then studied 1 month later to determine the potential for Mn2+-induced toxicity in the retina using the following metrics.
Blood-Retinal Barrier Integrity.
Rats were prepared for the MRI experiment, as described. Animals were allowed to breathe spontaneously during the experiment. DCE-MRI data were generated and analyzed to calculate the blood-retinal barrier (BRB) integrity, as previously described.8 Briefly, after anesthetizing and preparing the rat, a 25-gauge tail vein catheter used to deliver contrast agent was positioned and secured. Sequential spin-echo imaging data were collected (TR, 1 second; TE, 22.7 milliseconds; NA, 1; matrix size, 128 x 256; slice thickness, 1 mm; field of view, 32 x 32 mm2; sweep width, 25,000 Hz; 2 minutes per image). Representative images in the rat obtained using these acquisition parameters were previously published.9 Twelve sequential 2-minute images were acquiredthree control images before injection of contrast agent and nine images during and after a 6-second gadolinium diethylenetriamine pentaacetic acid (Gd-DTPA) bolus injection. The dose of contrast agent (Gd-DTPA; Magnevist; Berlex Laboratories, Wayne, NJ) was 0.1 mM Gd-DTPA/L per kilogram. In each animal, Gd-DTPA was injected at the same phase encode step collected near the beginning of the fourth image. All rats were humanely killed by injection of intracardiac potassium chloride, and their eyes were removed for histologic examination.
Histology.
After initial overnight fixation in formalin at 4°C, eyecups were postfixed for 3 hours on ice in 0.67% osmium tetroxide and 0.83% glutaraldehyde in 0.1 M sodium phosphate buffer (pH 7.4). Eyecups were then rinsed with 0.1 M phosphate buffer, dehydrated in graded ethanols and propylene oxide, and embedded in Epon araldite. Semithick (1.5 mm) radial sections through the optic nerve head were cut with an ultramicrotome (Reichert-Jung Ultracut E; Cambridge Instruments, Buffalo, NY), contrasted with Richardsons stain, and coverslipped for histopathologic evaluation of retinal layer thickness.
Data Analysis
Retinal Thickness.
Based on the MRI data, inner or total retinal thicknesses were measured, respectively, as the radial distance between the anterior edge and the middle edge (defined by its change in signal intensity) or the posterior edge of the retina at distances ± 0.4 1 mm from the optic nerve. Mean superior and inferior values generated for each rat were used for comparisons. The difference in the number of sample ns reflects the fact that data were not collected from all rats because some had ill-defined retinal boundaries.
Inner or total retinal thicknesses were also assessed from histologic data. In this case, thicknesses were measured from camera lucida tracings of representative and spatially calibrated median slices at distances ± 0.4 1 mm from the edges of the optic nerve.
MEMRI.
Intraretinal signal intensity was analyzed using IMAGE (a public domain image processing and analysis program available at http://rsb.info.nih.gov/nih-image/ [accessed March 17, 2006]) and derived macros.10 In these initial studies, we controlled for changes in receiver gain differences between animals by normalizing the signal intensity of a fixed region of noise in each rat to a fixed value. Other tissues within the sensitive volume of the coil demonstrated enhancement after manganese injection and thus were considered inadequate as internal references. Inner and outer signal intensity data (from the edge of the optic nerve to 1 mm from the center of the optic nerve) were extracted.
Blood-Retinal Barrier Integrity.
These data were analyzed as previously described.8 Briefly, movement within the slice plane was corrected using a warp affine image coregistration for each animal using software written in-house. After coregistration, the MRI data were transferred to a computer (Power Mac G4; Apple, Cupertino, CA) and were analyzed using the program IMAGE. For each pixel, the fractional signal enhancement, E, was calculated: E = (S(t) S0)/S0, where S(t) is the pixel signal intensity at time t after contrast and S0 is the precontrast signal intensity (measured from the average of the three control images) at the same pixel spatial location. Because no increase in vitreous signal intensity was found after Gd-DTPA injection, we did not calculate a BRB permeability surface area product in this study. For the calculation of signal enhancement, a region of interest (ROI) was chosen that contained the entire vitreous space. The area of this ROI and the mean E within the ROI were measured at each postcontrast time point. In one rat, subtle movement generated ghosting artifacts in the phase encode direction of one of the images. Such artifacts are discernible as random noise by visual inspection and can reduce precision. This particular time point was not included in the final data analysis.
Statistical Analysis
Retinal thickness and IOP data were consistent with a normal distribution, and comparisons between groups were performed using unpaired, 2-tailed t test analysis. For BRB measurements, analysis of covariance (ANCOVA) was performed on temporal evolution data for control and manganese-exposed rats. Comparisons of MEMRI retinal signal intensities were performed using ANCOVA on the spatial maps of average signal intensity change as a function of distance from the optic nerve (from the edge of the optic nerve to 1 mm from the center of the optic nerve) and a generalized estimating equation (GEE) approach.11 GEE performs general linear regression analysis using all the pixels in each subject and accounts for the within-subject correlation between adjacent pixels. In all cases, P < 0.05 was considered statistically significant.
| Results |
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As seen in Figure 4 , in the presence of Mn2+, light and dark conditions produced different (P < 0.05) signal intensities for inner retina (104.3 ± 1.2 a.u. [n = 5] and 110.2 ± 0.8 a.u. [n = 5], respectively) and outer retina (86.0 ± 1.4 a.u. [n = 5] and 107.3 ± 1.0 a.u. [n = 5], respectively). The intensity difference between light and dark adaptation for inner and outer retina (6% and 25%, respectively) were significantly different (P < 0.0001; Fig. 4 ).
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| Discussion |
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The light/dark intraretinal MEMRI pattern does not appear to result from manganese-induced toxicity. Although the precise mechanisms by which Mn2+ is transported and retained in the retina are unknown, toxicity associated with Mn2+ ion exposure appears to be a dose-dependent phenomenon. This is a feature shared with another activity-related tracer, 2-deoxyglucose. In this case, low concentrations of accumulated 2-deoxyglucose can be used as a nontoxic reporter of local activity, whereas high injected levels can be toxic. Higher doses of MnCl2 (i.e., 70 mg/kg) than those used in this study (44 mg/kg) are not reported to be toxic or associated with abnormal behavior after 3 months.4 In this study, we found no evidence for toxicity as measured by various metrics of ocular health (retinal thickness, intraocular pressure, BRB integrity) at 1 month after MnCl2, even though our preliminary data in a few animals suggest that Mn2+ is retained in retinal neurons because substantial intraretinal enhancements were still evident 1 month after injection (data not shown). Previous work has confirmed that Mn2+ is retained in neuronal tissue for relatively long periods.15 These data support our contention that at the present dose, MnCl2 is safe (i.e., not toxic).
Some methodological limitations of this initial account were considered. First, manganese uptake was evaluated at a single time point, so information about the temporal evolution of manganese transport was unavailable. We could have countered this in either of two ways: collect sequential MRI data while the rat is in the magnet the entire time, or use higher injected doses of manganese. However, each approach would have increased the likelihood of confounding data interpretation by an anesthetic effect, motion artifact, or retinal toxicity and, hence, were not used in this study. We also chose not to quantify tissue manganese levels from the MRI data because of the uncertainties about the physical chemistry parameters associated with the ligation of intracellular manganese.16 We also made the assumption that in vivo retinal signal intensities were linearly related to manganese concentration.17 18 This linear response assumption appears reasonable because no evidence was found for signal intensity losses that would be expected from manganese-induced T2 shortening in the retina. It is expected that future investigatorsperhaps using higher field strengths, stronger gradient sets, or different stimulation procedureswill be able to resolve Mn2+ ion uptake in distinct cellular layers within the retina.
Surprisingly, in the absence of manganese, baseline signal intensity changes were observed in the inner and outer retina between light and dark states (Fig. 3) . The reason for this apparent light-induced baseline change is unclear. It is possible that changes in, for example, intraretinal pH, retinal perfusion, or both between light and dark conditions might have subtly changed the chemical composition within the retina, thereby altering the relaxation properties of each layer.19 20 Alternatively, baseline differences could have represented a systematic error reflecting a bias in how the rats were handled between light and dark conditions. Regardless, for the purposes of this study, the key question was whether these non-Mn2+ light/dark baseline changes contained intraretinal functional adaptation/ion demand information. As discussed, relatively large changes occurred in outer retina physiology and ion demand between light and dark adaptation compared with those of the inner retina. However, the baseline changes reported here do not reflect this known physiology because both inner and outer retina changed by similar (P > 0.05) degrees. This observation raises the possibility of a nonion demand-dependent mechanism underlying the baseline changes. More work is needed to understand the subtle change in baseline signal intensity between light and dark adaptation.
To date, MRI evaluation of retinal function has been limited to a single study by Duong et al.21 using BOLD-based fMRI. In that study, retinal function was dynamically imaged in cats. However, proper implementation of the BOLD experiment in cats was found to be challenging, and similar studies in the eyes of rats and mice, which are smaller, will likely present additional challenges. Furthermore, separate BOLD signals from retinal and choroidal circulations have not been distinguished, making interpretation of the functional changes difficult. In contrast, the MEMRI approach described in this study provides high-resolution images in vivo while simultaneously recording a layer-specific history of ion demand activity that occurred in the retina of awake animals, independent of changes in hemodynamics.
Early MEMRI studies of brain function were performed in anesthetized rats with cannula insertion and mannitol coinjection to transiently break the blood-brain barrier and allow Mn2+ ion to enter the brain.3 In these early experiments, activity was only detected when blood-brain barrier integrity was lost. More recently, after 24 hours of stimulation in awake mice, Yu et al.4 reported activity-related enhancement patterns in the brain after intraperitoneal injection of MnCl2. However, the MEMRI enhancements were observed only in some brain areas and were a function of dose, time after injection, and distance from the blood supply or ventricles (i.e., brain regions closer to the blood supply were exposed to higher Mn2+ ion levels and were enhanced to a larger degree). In the present study, we found a more extensive uptake pattern of Mn2+ in the retina than was reported in the brain, possibly because the retina is highly vascularized and relatively thin and has smaller diffusion distances than are found in the brain.
We expect that MEMRI will prove useful for analyses of changes in retinal ion demand associated with functional adaptation in studies of postnatal development and aging, and we speculate that MEMRI will also be valuable for measuring changes in ion demand in a wide range of disease models (including diabetic retinopathy, retinopathy of prematurity, glaucoma, and retinitis pigmentosa) in healthy and surgically, biochemically, or genetically altered animals. In addition, high-resolution MEMRI adaptation maps of the retina can be readily combined with noninvasive MRI measures of retinal thickness and BRB integrity.8 22
| Acknowledgements |
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| Footnotes |
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Submitted for publication December 14, 2005; revised January 20, 2006; accepted April 13, 2006.
Disclosure: B.A. Berkowitz, None; R. Roberts, None; D.J. Goebel, None; H. Luan, None
The publication costs of this article were defrayed in part by page charge payment. This article must therefore be marked "advertisement" in accordance with 18 U.S.C.
1734 solely to indicate this fact.
Corresponding author: Bruce A. Berkowitz, Department of Anatomy and Cell Biology, Wayne State University School of Medicine, 540 E. Canfield, Detroit, MI 48201; baberko{at}med.wayne.edu.
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