Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2012 Sep 23.
Published in final edited form as: Neuroscience. 2011 Jan 8;177:223–229. doi: 10.1016/j.neuroscience.2011.01.001

QUANTIFICATION OF RESERVE POOL DOPAMINE IN METHIONINE SULFOXIDE REDUCTASE A NULL MICE

Andrea N Ortiz 1, Derek B Oien 2,3, Jackob Moskovitz 2, Michael A Johnson 1,*
PMCID: PMC3449094  NIHMSID: NIHMS264191  PMID: 21219974

Abstract

Methionine sulfoxide reductase A knockout (MsrA−/−) mice, which serve as a potential model for neurodegeneration, suffer from increased oxidative stress and have previously been found to have chronically elevated brain dopamine content levels relative to control mice. Additionally, these high levels parallel increased presynaptic dopamine release. In this work, fast-scan cyclic voltammetry at carbon-fiber microelectrodes was used to quantify striatal reserve pool dopamine in knockout mice and wild-type control mice. Reserve pool dopamine efflux, induced by amphetamine, was measured in brain slices from knockout and wild type mice in the presence of α-methyl-p-tyrosine, a dopamine synthesis inhibitor. Additionally, the stimulated release of reserve pool dopamine, mobilized by cocaine, was measured. Both efflux and stimulated release measurements were enhanced in slices from knockout mice, suggesting that these mice have greater reserve pool dopamine stores than wild-type and that these stores are effectively mobilized. Moreover, dopamine transporter labeling data indicate that the difference in measured dopamine efflux was likely not caused by altered dopamine transporter protein expression. Additionally, slices from MsrA−/− and wild-type mice were equally responsive to increasing extracellular calcium concentrations, suggesting that potential differences in either calcium entry or intracellular calcium handling are not responsible for increased reserve pool dopamine release. Collectively, these results demonstrate that MsrA−/− knockout mice maintain a larger dopamine reserve pool than wild-type control mice, and that this pool is readily mobilized.

Keywords: methionine sulfoxide reductase, reserve pool, dopamine, voltammetry, cocaine, amphetamine


The abnormal regulation of dopamine (DA) has been associated with multiple neurodegenerative disease states (Bird and Iversen, 1974, Morgan et al., 1987), yet the role of DA reserve pool storage and mobilization in the pathophysiology of these conditions is now just being revealed. Many of these conditions, such as Parkinson’s disease, Huntington’s disease, and Lou Gehrig’s disease, have been associated with the increased production or reactive oxygen species, thereby enhancing the degree of cell oxidative stress in the brain (Patten et al., 2010, Cohen, 1983, Perez-Severiano et al., 2004).

Interestingly, elevated DA levels have also been associated with enhanced oxidative stress (Oien et al., 2008b). Indeed, one model of oxidative stress, methionine sulfoxide reductase A knockout (MsrA−/−) mice, have been reported to have chronically high brain DA levels (Oien et al., 2008b). These mice lack the antioxidant enzyme MsrA, which is part of the Msr system. Methionine sulfoxide posttranslational modifications can be reversed by the Msr system, which consists of MsrA (reduces S methionine sulfoxide enantiomer) and MsrB (reduces R methionine sulfoxide enantiomer) (Moskovitz, 2005). The MsrA−/− mouse is hypersensitive to oxidative stress, accumulates higher levels of carbonylated protein, and expresses brain pathologies associated with neurodegenerative diseases (Moskovitz et al., 2001, Pal et al., 2007). Recent studies have shown that these mice have abnormally high DA levels in the brain at the ages of 6 and 12 months, compared to wild type (WT) control mice. Additionally, these high levels parallel an increased presynaptic DA release when stimulated in vitro without drug treatments.

A possible mechanism for an increase in stimulated DA release in MsrA−\− mice involves the mobilization of reserve pool DA. In general, DA-containing vesicles are believed to be separated into three pools: the readily releasable pool (RRP), the recycling pool, and the reserve pool (Neves and Lagnado, 1999, Rizzoli and Betz, 2005). The RRP undergoes exocytosis upon mild stimulation and is replenished by the mobilization of the recycling pool vesicles. The reserve pool, mobilized upon prolonged periods of synaptic activity (Neves and Lagnado, 1999), is the largest pool consisting of 80–90% of the total vesicles (Rizzoli and Betz, 2005). Pharmacological manipulations, using a combination of alpha-methyl-p-tyrosine (aMPT) and either cocaine (COC) or amphetamine (AMPH) (Venton et al., 2006, Ortiz et al., 2010), have been used to quantitatively measure reserve pool dopamine.

Other factors, such as calcium transport, may also influence the amplitude of stimulated dopamine release plots. Transient increases in intracellular calcium concentration trigger vesicular exocytosis (Nachshen and Sanchez-Armass, 1987, Kume-Kick and Rice, 1998) as well as the movement of RRP and reserve pool vesicles (Rose et al., 2002). Moreover, the increase in oxidative stress may result in calcium dysregulation. For example, the activity of calmodulin, a calcium regulatory protein that activates the plasma membrane calcium ATPase (PMCA), diminishes due to oxidative post-translational modifications as tissues age (Michaelis et al., 1996). The oxidation of specific methionines in calmodulin results in about a 50% reduction of PMCA activation (Bartlett et al., 2003), thereby impairing the ability of cells to clear calcium from the cell (Palacios et al., 2004). Oxidized calmodulin can accumulate in brain tissues as a result of low antioxidant levels and it is speculated that oxidation of methionines on calmodulin may be acting as a molecular switch in calcium regulation, oxidative stress, and DA release (Chen et al., 2001, Bigelow and Squier, 2005).

To investigate possible mechanisms underlying elevated DA content and release found in MsrA−/− mice, fast-scan cyclic voltammetry (FSCV) at carbon-fiber microelectrodes was used to measure the mobilization and efflux of reserve pool DA in striatal brain slices from MsrA−/− mice and WT control mice (Oien et al., 2008b). We hypothesized that the DA reserve pool is enhanced in MsrA−/− mice compared to WT control mice. In order to measure reserve pool DA, slices were pre-treated with αMPT and then treated with either AMPH, to measure the efflux of reserve pool DA, or with COC, to measure the stimulated release of mobilized DA reserve pool vesicles. Collectively, our results suggest that reserve pool DA is more abundant in the MsrA−/− striatum and that the number of vesicles is greater compared to WT controls.

Experimental Procedures

Animals

The MsrA−/− and WT control mice have been described previously (Moskovitz et al., 2001). All mice used in these experiments were fed ad libitum, housed with 12 h of light per day, and caged individually. All procedures and conditions of live mice, including euthanasia, were approved by the University of Kansas Institutional Animal Care and Use Committee. Every effort was made to minimize the number of animals used and animal suffering.

Brain Slice Preparation

Brain slices of 12-month-old MsrA−/− mice and age-matched WT control mice were prepared as previously described (Johnson et al., 2006). Brain slices were used as an experimental preparation because they allow for the direct measurement of locally evoked DA release and generally provide higher throughput than whole animal preparations. Mice were anesthetized by isoflurane inhalation and then decapitated. The brain was immediately removed and placed in ice cold artificial cerebrospinal fluid (aCSF) consisting of (mM): NaCl 126, KCl 2.5, NaH2PO4 1.2, CaCl2 2.4, MgCl2 1.2, NaHCO3 25, HEPES 20, and D-Glucose 11. The pH of the aCSF was adjusted to 7.4. The cerebellum was removed from the brain using a razor blade and the brain was then mounted on an aluminum block. A vibratome slicer (Leica, Wetzlar, Germany) was used to make 300 µm thick coronal slices. Each brain slice was equilibrated in the superfusion chamber which was maintained at 34°C, through which aCSF flowed at a continuous rate of 2 mL/min, prior to obtaining measurements.

DA Release in Brain Slices

Carbon-fiber microelectrodes were fabricated using a single 7 µm diameter carbon-fiber (Goodfellow Cambridge Ltd, Huntingdon, U.K.) that was aspirated through a glass capillary tube (1.2 mm outer diameter, 0.68 mm inner diameter, 20 mm long, A-M Systems, Inc. Carlsborg, WA), and was pulled using a heated coil puller (Narishige International USA, Inc., East Meadow, NY) (Kraft et al., 2009). The carbon-fiber was trimmed to about 25 µM and further insulated using with epoxy resin (EPON resin 815C, EPIKURE 3234 curing agent, Miller-Stephenson, Danbury, CT, USA), and then cured at 100°C for 1 h. The electrodes were backfilled with 0.5 M potassium acetate to provide an electrical connection between the carbon fiber and an inserted silver wire.

A triangular waveform was applied to the carbon-fiber electrode starting at −0.4 V, increasing to +1.0 V, and then scanning back down to −0.4 V. For stimulated release measurements, a scan rate of 300 V/s and an update rate of 60 cyclic voltammograms (CVs) per second were used. For measurements of AMPH-induced DA efflux, an update rate of 5 CVs was used to limit the memory space occupied by the file. A headstage amplifier (UNC Chemistry Department Electronics Design Facility, Chapel Hill, NC) was interfaced with a computer via a breakout box and custom software provided by R.M. Wightman and M.L.A.V. Heien (University of North Carolina, Chapel Hill). A Ag/AgCl reference electrode consisted of a chorided silver wire. The carbon fiber microelectrode was inserted 100 µm into the dorsolateral caudate-putamen region of the striatum between the prongs of a bipolar stimulation electrode (Plastics One, Roanoke, VA), which was separated by a distance of 200 µm. A single pulse at 60 Hz was applied to the brain slice and the current was then measured at the peak oxidation potential for DA (about +0.6 V versus Ag/AgCl reference electrode). Working electrodes were calibrated with DA standards of known concentration in a flow cell before and after each use. The average of pre- and post-calibration measurements was used as the calibration factor. Drugs were introduced into the brain slice superfusion chamber by opening a three-way valve that allowed the desired solution to flow by gravity feed.

For AMPH-induced DA efflux experiments, brain slices were stimulated with single electrical stimulus pulses until the magnitude of evoked DA release was consistent between measurements. Brain slices were then treated with 50 µM aMPT. During this treatment, stimulated DA release was measured every 5 min. Once DA release diminished, 20 µM AMPH was added to the aCSF/aMPT solution and a 25 min duration file was collected.

To measure electrically evoked DA release from mobilized reserve pool vesicles, the same procedure for pre-treatment with aMPT was used. However, slices were treated with 20 µM COC after stimulated release was diminished. During this treatment, electrically-evoked release was measured every 5 minutes.

Sensitivity of DA release to extracellular calcium

To measure changes in the sensitivity to calcium in MsrA−/− mice DA release evoked by a single electrical stimulus pulse was first measured in slices with aCSF that contained 2.4 mM calcium. Next, aCSF containing 0 mM calcium was introduced into the superfusion chamber. Once DA release disappeared, brain slices were cumulatively treated with aCSF containing 0.6, 1.2, 1.8, and 2.4 mM calcium. Slices were treated with each concentration for 15 min, with files collected every five 5 min using a single pulse stimulation. Values obtained at the 15 min point were used in Fig. 4.

Figure 4. Calcium-dependent release was unchanged in 12-month-old MsrA−/− mice compared to age-matched WT mice.

Figure 4

Brain slices were treated with 0, 0.6, 1.8, and 2.4 mM concentrations of extracellular calcium and electrically stimulated DA release was measured for 15 min at each concentration. DA release was normalized to maximum DA release within each data set. At 0 mM calcium no DA release was detected. Two-way ANOVA did not reveal an overall genotype effect on DA release throughout the entire range of extracellular calcium concentrations (Fig. 4; p = 0.51; F1,21 = 0.48; MsrA−/−, n = 4 mice; WT, n = 6 mice).

Immunoblotting

MsrA−/− and WT brains were dissected from post-mortem mice. Each striatal lysate was placed in a glass tube and homogenized with Teflon in 50 mM HEPES buffer pH 7.4 plus protease inhibitors (Roche) at 4°C. Homogenized extract was centrifuged for 20 min to separate the membrane fraction. Buffer containing 50 mM HEPES, 0.62% CHAPS, and 150 mM NaCl was added to each membrane fraction and agitated for 30 min. Each fraction was centrifuged for 20 min. Protein concentration of the supernatant was determined by BCA Protein Assay Kit (Pierce). Equal protein amounts (20 µg) of each soluble membrane fraction was loaded into a HEPES 4–20% Protein Gel (Pierce, Pittsburg, PA) for electrophoretic separation. Proteins were transferred to a nitrocellulose membrane and blocked overnight in 5% dry milk in buffer. DAT band was detected using primary rabbit anti-DAT antibodies (1:1000; Chemicon, Billerica, MA). Peroxide-conjugated goat-anti-rabbit antibodies were used as secondary antibodies (1:2000; Bio-Rad, Hercules, CA). Protein bands were visualized by chemiluminescent substrate and exposure to autoradiography film. Densitometry analysis was done using ImageJ software (publicly available software obtained from the National Institutes of Health website).

Statistical Analyses

Data were analyzed by ANOVA or students t-test using GraphPad Prism 4.03 (GraphPad Software, Inc., La Jolla, CA). All numerical values are represented as mean ± SEM. A p value of 0.05 or less was considered significant.

Results

Reserve Pool DA Levels

It has been previously demonstrated that in MsrA−/− mice stimulated DA release, evoked by a single-pulse electrical stimulation, is significantly higher than that of WT controls (Oien et al., 2008b). To determine if reserve pool DA is similarly more abundant in MsrA−/− mice, striatal brain slices were subjected to treatment with aMPT and AMPH-induced efflux was measured. Each slice was treated with 50 µM aMPT to inhibit tyrosine hydroxylase, the rate limiting enzyme in DA synthesis. A stimulus pulse was then applied to the slice every 5 min until DA release was diminished. At this point, DA remaining in terminals consisted only of reserve pool DA. The slices were then treated with 20 µM AMPH, a competitive DAT inhibitor that induces the quantitative efflux of cytosolic and vesicular DA. AMPH enters the pre-synaptic terminals in one of two ways: either by lipophilic diffusion through membranes or by passage through DAT protein molecules (Fischer and Cho, 1979, Liang and Rutledge, 1982). AMPH displaces vesicular DA into the cytoplasm and induces DA reverse transport, caused by allosteric translocation of the DAT protein molecules (Chiueh and Moore, 1975, Jones et al., 1998). The AMPH induced efflux of DA was measured over the course of 25 min and the amplitude of the DA peak ([DA]AMPH) was used to determine the amount of DA released (Fig.1a). A CV, which has an oxidation peak at ~0.6 V and a reduction peak at ~−0.2 V, shown at the peak current on this efflux curve indicates that the species released by AMPH treatment is DA. In MsrA−/− mice, AMPH-induced DA efflux was significantly greater than that observed in WT control mice, indicating that the striatal DA reserve pool is enhanced in MsrA−/− mice (Fig. 1b; p = 0.022; MsrA−/−, 7.02 ± 1.42 µM, n = 5 mice; WT, 5.63 ± 0.33 µM, n = 4 mice).

Figure 1. AMPH induced DA efflux is increased in MsrA−/− mice compared to WT mice.

Figure 1

(A) Representative data in which a brain slice from a WT mouse was treated with 50 µM aMPT while single stimulus pulses were applied every 5 min until DA release was diminished. The slice was then treated with 20 µM AMPH for 25 min, and DA]AMPH was measured. A CV is provided from the time of peak release, and confirms the release of DA. (B) In MsrA−/− mice, [DA]AMPH is significantly higher in MsrA−/− slices than in WT slices (*p < 0.05; MsrA−/−, 7.02 ± 1.42 µM, n = 5 mice; WT, 5.63 ± 0.33 µM, n = 4).

Mobilization of Reserve Pool DA

To identify differences in the exocytotic release of mobilized DA reserve pool vesicles, DA release, electrically evoked in striatal brain slices from MsrA−/− and WT mice control mice, was measured with FSCV (Fig. 2a). Once DA release peak amplitude was the same between separate stimulations in the absence of drug, aMPT was added to the perfusate at a final concentration of 50 µM in order to stop DA synthesis. After DA release was diminished, COC was added to the aMPT/aCSF solution at a final concentration of 20 µM. COC has previously been shown to mobilize reserve pool DA (Venton et al., 2006). DA release was electrically evoked by the application of locally applied single stimulus pulses every 5 min throughout the entire process. The addition of COC caused stimulated DA release to grow in both MsrA−\− and WT control slices. Although COC treatment caused DA release to increase to similar levels in MsrA−/− and WT control slices, DA release reappeared for a longer amount of time in slices from MsrA−/− mice (~180 min) compared to slices from WT mice (~80 min)(Fig. 2b). The area under the curve generated using slices from WT mice was 40% of that generated using slices from MsrA−/− mice.

Figure 2. More reserve pool DA is mobilized in slices from MsrA−/− mice compared to those from WT mice.

Figure 2

Brain slices from MsrA−/− and WT mice were exposed to 50 µM aMPT while single stimulus pulses were applied every 5 min. Once DA release disappeared, 20 µM COC was added to the slice. The application of stimulus pulses was continued during this time. (A) Representative data from MsrA−/− and WT slices. The addition of COC after pretreatment with aMPT resulted in an increase in stimulated DA release. Stimulated release plots taken immediately after the addition of aMPT have been omitted for clarity. (B) Pooled data from MsrA−/− and WT mice after the addition of COC. Each data point represents the average value (± SEM) of [DA]stim obtained from 5 MsrA−/− mice and 6 WT mice.

DAT Protein Levels

The DAT is a transmembrane protein that moves DA from the synaptic cleft into the presynaptic neuron. In membrane fractions of MsrA−/− and WT mice, no difference in DAT protein levels was detected (Fig. 3; p = 0.65; MsrA−/−, 115.6 ± 4.1 %, n = 3 mice; WT, 100.0 ± 19.8 %, n = 3 mice). These data are consistent with a previous report that showed synaptic DA clearance was similar between MsrA−/− and WT mice (Oien et al., 2008).

Figure 3. DAT protein levels are unchanged in MsrA−/− mice.

Figure 3

MsrA−/− and WT cerebral membrane fractions were solubilized and equal amounts of protein were separated by gel electrophoresis followed by western blot analysis. (A) Protein bands detected by anti-DAT antibodies indicate similar amounts of the protein at about 70 kDa. (B) Densitometry values of DAT protein bands are shown as an average density from MsrA−/− (black) and WT (white) bands (p = 0.69; n = 3 MsrA−/− and 3 WT mice).

Extracellular Calcium Sensitivity

Vesicular DA exocytosis in the striatum is directly dependent on available extracellular calcium, which enters pre-synaptic terminals by voltage-gated calcium channels during membrane depolarization (Heuser and Reese, 1973; Cremona and De Camilli, 1997). In order to evaluate whether the calcium dependency of release was altered in MsrA−/− mice, brain slices were treated with various concentrations of extracellular calcium and stimulated DA release was measured (Fig. 4). All peak DA release values were normalized against peak DA release obtained at 2.4 mM Ca2+, which is the concentration of Ca2+ present in the aCSF that was used for measuring the total amount of DA present in the reserve pool (Figs 1 and 2). The purpose of this normalization was to minimize variation caused by heterogeneity in dopaminergic innervation found in the striatum. A two-way ANOVA did not reveal an overall genotype effect on DA release throughout the entire range of extracellular calcium concentrations (Fig. 4; p = 0.97; F1,44 = 0.00; MsrA−/−, n = 4 to 6 mice; WT, n = 6 mice).

Discussion

Previous studies using MsrA−/− mice have shown that DA release evoked using a single-pulse stimulation is increased (Oien et al., 2008b). In the present study, differences in DA reserve pool storage and mobilization in striatal brain slices from MsrA−/− mice and WT control mice were examined. AMPH-induced DA efflux, following pre-treatment with αMPT, was increased in striatal brain slices from MsrA−/− mice compared to those of WT littermates. Moreover, MsrA−/− slices showed an enhanced degree of COC-induced mobilization of DA reserve pool vesicles compared to WT. Furthermore, slices from MsrA−/− mice and WT control mice were equally sensitive to changes in extracellular calcium concentration.

Initial experiments were aimed at determining if alterations in either DAT or calcium regulation preferentially enhanced DA release in MsrA−/− mice. Our previous work has shown that the efficiency of DA reuptake by DAT is similar in MsrA−/− and WT mice (Oien et al., 2008b). Furthermore, here we show that DAT protein levels are similar in MsrA−/− and WT mice. This result further supports the concept that DAT function and protein levels are not altered in the absence of MsrA. Therefore, we expect that COC and AMPH effects on the DAT would be similar in both mice genotypes.

The exocytotic release of DA during synaptic transmission is mediated by calcium-dependent fusion with the active zone (Heuser and Reese, 1973; Cremona and De Camilli, 1997; Kavalali, 2006). Thus, the ability of extracellular calcium to enter through N- and P/Q-type voltage-gated calcium channels (VGCCs) located at the active zone exerts a strong influence over neurotransmitter release (Fox and Currie, 1997). We observed no difference in electrically evoked DA release between MsrA−/− and WT slices when extracellular calcium concentrations were increased, suggesting that the VGCCs were functioning similarly. However, it is important to note that this experiment, due to its limited scope, cannot rule out potential alterations in other calcium handing mechanisms in MsrA−/− mice, and the possibility that such alterations may somehow influence the ability of terminals to release DA, especially since intracellular calcium can influence the movement of vesicular DA between RRP and reserve pools (Rose et al., 2002).

One potential mechanism that could increase intracellular calcium levels, although not supported by the data presented in this report, is the oxidative inactivation of calcium regulatory proteins. In particular, methionine oxidation of calcium regulatory proteins, such as calmodulin (Michaelis et al., 1996) and calcium/calmodulin kinase II (Erickson et al., 2008), increases with age and is also increased in selenium deficient MsrA−/− mice compared to WT control mice (Moskovitz, 2007). Data obtained using patch clamp methods in several cell types (Zucker and Regehr, 2002), including studies conducted using dopaminergic retinal amacrine cells (Borges et al., 1995) and retinal bipolar cells (Gomis et al., 1999), suggest that the translocation of reserve pool vesicles are influenced by changes in intracellular Ca2+ levels. Thus, it seems plausible that fluctuations in intracellular Ca2+ levels associated with a lack of calcium chelating ability would influence reserve pool DA mobilization in MsrA−/− mice.

To assess the content and mobilization of reserve pool DA in MsrA−/− and WT control mice, selected pharmacological agents were used. Treating brain slices with aMPT while electrically stimulating the brain slice depletes DA in RRP vesicles. Under these conditions, DA in the extracellular space will be packaged and also released, leaving only DA in reserve pool vesicles (Ortiz et al., 2010). Upon the addition of AMPH, DA in the reverse pool vesicles is released by reverse transport through the DAT and we are able to measure the resulting efflux. We found that, compared with WT littermate controls, AMPH-induced DA efflux is greater in MsrA−/− slices compared to WT slices, indicating that MsrA−/− mice have an increased supply of reserve pool dopamine. This increase parallels both the enhancement of stimulated DA release and the increase in striatal DA content found previously in MsrA−/− mice (Oien et al., 2008b). Because it appears that similar equal levels of the DAT protein are found in MsrA−/− and WT mice, and DA uptake in the absence of pharmacological treatments appears to be similar between the two strains, it is unlikely that the enhancement of DA efflux found in the MsrA−/− striatum is the result of alterations in DAT expression or function. Thus, our results suggest that the overall amount of reserve pool DA is increased in the MrsA−/− striatum.

When DA reserve pool vesicles are mobilized by the application of COC, peak DA release evoked by single-pulse stimulation was the same between the MsrA−/− and WT mice, implying that there are the same number of DA molecules contained in each mobilized reserve pool vesicle. Because the peak dopamine release is attained earlier in WT mice than in MsrA−/− mice, impaired mobilization of reserve pool vesicles in the MsrA−/− cannot be ruled out. The area under the curve generated from WT slices was about 40% of the area under the curve generated from MsrA−/− slices. Because the peak amounts of DA released by WT and MsrA−/− slices following cocaine treatment were unchanged, we speculate that the genotypes have similar amounts of DA packaged in the vesicles. If this is indeed the case, then the area under the curve calculations would suggest that the WT striatum possesses 40% the number of DA reserve pool vesicles found in the MsrA−/− striatum. This figure is in close agreement with the amount of DA released by electrical stimulation in the WT striatum (37% of MsrA−/−; Oien et al., 2008b). Thus, it may be that a greater overall number of vesicles, albeit a similar proportion in relation to the reserve pool, are mobilized into the RRP in MsrA−/− mice than in WT mice. These vesicles then undergo exocytosis upon the application of a mild electrical stimulus pulse, which is intended to simulate the occurrence of a natural action potential. We speculate that this increase in the number of reserve pool vesicles enhances the magnitude of naturally occurring DA release events in MsrA−/− mice.

The mechanism of the chronically increased DA levels in MsrA−/− mice is still unknown. The abnormally high brain DA in MsrA−/− mice can be alleviated by caloric restriction (Oien et al., 2010), suggesting that metabolism and oxidative stress related mechanisms are involved in this phenomenon. Previous studies suggest an increase of the tyrosine hydroxylase activating protein 14-3-3zeta mRNA (Oien et al., 2008a) and protein (Oien et al., 2008b) may be associated with the increased levels of DA by enhanced DA synthesis. In addition, we have recently reported that methionine oxidation of the dopamine D2 receptor may participate in DA signaling in MsrA−/− mice (Oien et al., 2010), which may include the presynaptic D2 autoreceptor isoform. Another possible explanation for this abnormal DA regulation is increased methionine sulfoxide levels in alpha-synuclein that may interfere with its interaction with DA (Oien and Moskovitz, 2008, Oien et al., 2009, Outeiro et al., 2009). This theory is further supported by defective mobilization of DA from reserve pools in alpha-synuclein knockout mice and A30P mutated alpha-synuclein transgenic mice (Yavich et al., 2004, Yavich et al., 2005). In any case, it is apparent that dopaminergic neurons store this excess DA in reserve pool vesicles.

In summary, this work indicates that MsrA−/− mice have an increase amount of DA stored in the striatal reserve pool compared to WT control mice. To our knowledge, this is the first published study in which reserve pool DA levels have been directly measured in mice that are genetically altered to have increased oxidative stress. Moreover, this study offers a potential mechanism by which neurons cope with the excessive production of DA, and also provides a strategy for the study other DA-related pathologies.

Research Highlights.

  • >

    Dopamine reserve pools were quantified in MsrA−/− mice and WT control mice

  • >

    MsrA−/− mice had an enhanced dopamine reserve pool compared to WT mice.

  • >

    Reserve pool mobilization occurred over a longer time period in MsrA−/− mice.

  • >

    Dopamine release was equally sensitive to extracellular Ca2+ in MsrA−/− and WT mice.

  • >

    Study among first to measure reserve pool dopamine in an oxidative stress model.

Acknowledgements

This study was supported by funding from NIH P20 RR016475 from the INBRE Program of the National Center for Research Resources, Huntington's disease Society of America, the KIDDRC HD02528 Center grant, the National Institute of Aging AG027363 grant, the KU School of Pharmacy General Research Fund, and the University of Kansas. We would like to thank Renea D. Creech for her technical assistance.

List of Abbreviations

DA

dopamine

MsrA−/−

methionine sulfoxide reductase A knockout

FSCV

fast-scan cyclic voltammetry

aMPT

alpha-methyl-p-tyrosine

AMPH

amphetamine

COC

cocaine

WT

wild type

aCSF

artificial cerebral spinal fluid

RRP

readily releasable pool

DAT

dopamine transporter

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  1. Bartlett RK, Bieber Urbauer RJ, Anbanandam A, Smallwood HS, Urbauer JL, Squier TC. Oxidation of Met144 and Met145 in calmodulin blocks calmodulin dependent activation of the plasma membrane Ca-ATPase. Biochemistry. 2003;42:3231–3238. doi: 10.1021/bi026956z. [DOI] [PubMed] [Google Scholar]
  2. Bigelow DJ, Squier TC. Redox modulation of cellular signaling and metabolism through reversible oxidation of methionine sensors in calcium regulatory proteins. Biochim Biophys Acta. 2005;1703:121–134. doi: 10.1016/j.bbapap.2004.09.012. [DOI] [PubMed] [Google Scholar]
  3. Bird ED, Iversen LL. Huntington's chorea. Post-mortem measurement of glutamic acid decarboxylase, choline acetyltransferase and dopamine in basal ganglia. Brain. 1974;97:457–472. doi: 10.1093/brain/97.1.457. [DOI] [PubMed] [Google Scholar]
  4. Borges S, Gleason E, Turelli M, Wilson M. The Kinetics of Quantal Transmitter Release from Retinal Amacrine Cells. Proc Nat Acad Sci USA. 1995;92:6896–6900. doi: 10.1073/pnas.92.15.6896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Chen BT, Avshalumov MV, Rice ME. H(2)O(2) is a novel, endogenous modulator of synaptic dopamine release. J Neurophysiol. 2001;85:2468–2476. doi: 10.1152/jn.2001.85.6.2468. [DOI] [PubMed] [Google Scholar]
  6. Chiueh CC, Moore KE. D-amphetamine-induced release of "newly synthesized" and "stored" dopamine from the caudate nucleus in vivo. J Pharmacol Exp Ther. 1975;192:642–653. [PubMed] [Google Scholar]
  7. Cohen G. The pathobiology of Parkinson's disease: biochemical aspects of dopamine neuron senescence. J Neural Transm Suppl. 1983;19:89–103. [PubMed] [Google Scholar]
  8. Erickson JR, Joiner ML, Guan X, Kutschke W, Yang J, Oddis CV, Bartlett RK, Lowe JS, O'Donnell SE, Aykin-Burns N, Zimmerman MC, Zimmerman K, Ham AJ, Weiss RM, Spitz DR, Shea MA, Colbran RJ, Mohler PJ, Anderson ME. A dynamic pathway for calcium-independent activation of CaMKII by methionine oxidation. Cell. 2008;133:462–474. doi: 10.1016/j.cell.2008.02.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Fischer JF, Cho AK. Chemical release of dopamine from striatal homogenates: evidence for an exchange diffusion model. J Pharmacol Exp Ther. 1979;208:203–209. [PubMed] [Google Scholar]
  10. Fox AP, Currie KPM. Comparison of N- and P/Q-Type Voltage-Gated Calcium Channel Current Inhibition. J Neurosci. 1997;17:4570–4579. doi: 10.1523/JNEUROSCI.17-12-04570.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Gomis A, Burrone B, Lagnado L. Two actions of calcium regulate the supply of releasable vesicles at the ribbon synapse of retinal bipolar cells. J Neurosci. 1999;19:6309–6317. doi: 10.1523/JNEUROSCI.19-15-06309.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Johnson MA, Rajan V, Miller CE, Wightman RM. Dopamine release is severely compromised in the R6/2 mouse model of Huntington's disease. J Neurochem. 2006;97:737–746. doi: 10.1111/j.1471-4159.2006.03762.x. [DOI] [PubMed] [Google Scholar]
  13. Jones SR, Gainetdinov RR, Wightman RM, Caron MG. Mechanisms of amphetamine action revealed in mice lacking the dopamine transporter. J Neurosci. 1998;18:1979–1986. doi: 10.1523/JNEUROSCI.18-06-01979.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Kline DD, Takacs KN, Ficker E, Kunze DL. Dopamine Modulates Synaptic Transmission in the Nucleus of the Solitary Tract. J Neurophysiol. 2002;88:2736–2744. doi: 10.1152/jn.00224.2002. [DOI] [PubMed] [Google Scholar]
  15. Kraft JC, Osterhaus GL, Ortiz AN, Garris PA, Johnson MA. In vivo dopamine release and uptake impairments in rats treated with 3-nitropropionic acid. Neuroscience. 2009;161:940–949. doi: 10.1016/j.neuroscience.2009.03.083. [DOI] [PubMed] [Google Scholar]
  16. Kume-Kick J, Rice ME. Dependence of dopamine calibration factors on media Ca2+ and Mg2+ at carbon-fiber microelectrodes used with fast-scan cyclic voltammetry. J Neurosci Methods. 1998;84:55–62. doi: 10.1016/s0165-0270(98)00087-9. [DOI] [PubMed] [Google Scholar]
  17. Liang NY, Rutledge CO. Evidence for carrier-mediated efflux of dopamine from corpus striatum. Biochem Pharmacol. 1982;31:2479–2484. doi: 10.1016/0006-2952(82)90057-0. [DOI] [PubMed] [Google Scholar]
  18. Michaelis ML, Bigelow DJ, Schoneich C, Williams TD, Ramonda L, Yin D, Huhmer AF, Yao Y, Gao J, Squier TC. Decreased plasma membrane calcium transport activity in aging brain. Life Sci. 1996;59:405–412. doi: 10.1016/0024-3205(96)00319-0. [DOI] [PubMed] [Google Scholar]
  19. Morgan DG, May PC, Finch CE. Dopamine and serotonin systems in human and rodent brain: effects of age and neurodegenerative disease. J Am Geriatr Soc. 1987;35:334–345. doi: 10.1111/j.1532-5415.1987.tb04641.x. [DOI] [PubMed] [Google Scholar]
  20. Moskovitz J. Methionine sulfoxide reductases: ubiquitous enzymes involved in antioxidant defense, protein regulation, and prevention of aging-associated diseases. Biochim Biophys Acta. 2005;1703:213–219. doi: 10.1016/j.bbapap.2004.09.003. [DOI] [PubMed] [Google Scholar]
  21. Moskovitz J. Prolonged selenium-deficient diet in MsrA knockout mice causes enhanced oxidative modification to proteins and affects the levels of antioxidant enzymes in a tissue-specific manner. Free Radic Res. 2007;41:162–171. doi: 10.1080/10715760600978823. [DOI] [PubMed] [Google Scholar]
  22. Moskovitz J, Bar-Noy S, Williams WM, Requena J, Berlett BS, Stadtman ER. Methionine sulfoxide reductase (MsrA) is a regulator of antioxidant defense and lifespan in mammals. Proc Natl Acad Sci U S A. 2001;98:12920–12925. doi: 10.1073/pnas.231472998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Nachshen DA, Sanchez-Armass S. Co-operative action of calcium ions in dopamine release from rat brain synaptosomes. J Physiol. 1987;387:415–423. doi: 10.1113/jphysiol.1987.sp016581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Neves G, Lagnado L. The kinetics of exocytosis and endocytosis in the synaptic terminal of goldfish retinal bipolar cells. J Physiol. 1999;515(Pt 1):181–202. doi: 10.1111/j.1469-7793.1999.181ad.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Oien D, Wang X, Moskovitz J. Genomic and Proteomic Analyses of the Methionine Sulfoxide Reductase A Knockout Mouse. Current Proteomics. 2008a;5:96–103. [Google Scholar]
  26. Oien DB, Moskovitz J. Substrates of the methionine sulfoxide reductase system and their physiological relevance. Curr Top Dev Biol. 2008;80:93–133. doi: 10.1016/S0070-2153(07)80003-2. [DOI] [PubMed] [Google Scholar]
  27. Oien DB, Ortiz AN, Rittel AG, Dobrowsky RT, Johnson MA, Levant B, Fowler SC, Moskovitz J. Dopamine D2 Receptor Function is Compromised in the Brain of the Methionine Sulfoxide Reductase A Knockout Mouse. J Neurochem. 2010;114(1):51–61. doi: 10.1111/j.1471-4159.2010.06721.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Oien DB, Osterhaus GL, Latif SA, Pinkston JW, Fulks J, Johnson M, Fowler SC, Moskovitz J. MsrA knockout mouse exhibits abnormal behavior and brain dopamine levels. Free Rad Biol Med. 2008b;45:193–200. doi: 10.1016/j.freeradbiomed.2008.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Oien DB, Osterhaus GL, Lundquist BL, Fowler SC, Moskovitz J. Caloric restriction alleviates abnormal locomotor activity and dopamine levels in the brain of the methionine sulfoxide reductase A knockout mouse. Neurosci Lett. 2010;468:38–41. doi: 10.1016/j.neulet.2009.10.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Oien DB, Shinogle HE, Moore DS, Moskovitz J. Clearance and phosphorylation of alpha-synuclein are inhibited in methionine sulfoxide reductase a null yeast cells. J Mol Neurosci. 2009;39:323–332. doi: 10.1007/s12031-009-9274-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Ortiz AN, Kurth BJ, Osterhaus GL, Johnson MA. Dysregulation of intracellular dopamine stores revealed in the R6/2 mouse striatum. J Neurochem. 2010;112:755–761. doi: 10.1111/j.1471-4159.2009.06501.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Outeiro TF, Klucken J, Bercury K, Tetzlaff J, Putcha P, Oliveira LM, Quintas A, McLean PJ, Hyman BT. Dopamine-induced conformational changes in alpha-synuclein. PLoS One. 2009;4:e6906. doi: 10.1371/journal.pone.0006906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Pal R, Oien DB, Ersen FY, Moskovitz J. Elevated levels of brain-pathologies associated with neurodegenerative diseases in the methionine sulfoxide reductase A knockout mouse. Exp Brain Res. 2007;180:765–774. doi: 10.1007/s00221-007-0903-6. [DOI] [PubMed] [Google Scholar]
  34. Palacios J, Sepulveda MR, Lee AG, Mata AM. Ca2+ transport by the synaptosomal plasma membrane Ca2+-ATPase and the effect of thioridazine. Biochemistry. 2004;43:2353–2358. doi: 10.1021/bi0359473. [DOI] [PubMed] [Google Scholar]
  35. Patten DA, Germain M, Kelly MA, Slack RS. Reactive oxygen species: stuck in the middle of neurodegeneration. J Alzheimers Dis. 20(Suppl 2):S357–S367. doi: 10.3233/JAD-2010-100498. [DOI] [PubMed] [Google Scholar]
  36. Perez-Severiano F, Santamaria A, Pedraza-Chaverri J, Medina-Campos ON, Rios C, Segovia J. Increased formation of reactive oxygen species, but no changes in glutathione peroxidase activity, in striata of mice transgenic for the Huntington's disease mutation. Neurochem Res. 2004;29:729–733. doi: 10.1023/b:nere.0000018843.83770.4b. [DOI] [PubMed] [Google Scholar]
  37. Rizzoli SO, Betz WJ. Synaptic vesicle pools. Nat Rev Neurosci. 2005;6:57–69. doi: 10.1038/nrn1583. [DOI] [PubMed] [Google Scholar]
  38. Rose SD, Lejen T, Casaletti L, Larson RE, Pene TD, Trifaro JM. Molecular motors involved in chromaffin cell secretion. Ann N Y Acad Sci. 2002;971:222–231. doi: 10.1111/j.1749-6632.2002.tb04466.x. [DOI] [PubMed] [Google Scholar]
  39. Venton BJ, Seipel AT, Phillips PE, Wetsel WC, Gitler D, Greengard P, Augustine GJ, Wightman RM. Cocaine increases dopamine release by mobilization of a synapsin-dependent reserve pool. J Neurosci. 2006;26:3206–3209. doi: 10.1523/JNEUROSCI.4901-04.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Yavich L, Oksman M, Tanila H, Kerokoski P, Hiltunen M, van Groen T, Puolivali J, Mannisto PT, Garcia-Horsman A, MacDonald E, Beyreuther K, Hartmann T, Jakala P. Locomotor activity and evoked dopamine release are reduced in mice overexpressing A30P-mutated human alpha-synuclein. Neurobiol Dis. 2005;20:303–313. doi: 10.1016/j.nbd.2005.03.010. [DOI] [PubMed] [Google Scholar]
  41. Yavich L, Tanila H, Vepsalainen S, Jakala P. Role of alpha-synuclein in presynaptic dopamine recruitment. J Neurosci. 2004;24:11165–11170. doi: 10.1523/JNEUROSCI.2559-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Zucker RS and Regehr WG. Short-term synaptic plasticity. Annu Rev Physiol. 2002;64:355–405. doi: 10.1146/annurev.physiol.64.092501.114547. [DOI] [PubMed] [Google Scholar]

RESOURCES