Abstract
Simultaneous imaging of l-dihydroxyphenylalanine (l-DOPA), dopamine (DA) and norepinephrine (NE) in the catecholamine metabolic pathway is particularly useful because l-DOPA is a neurophysiologically important metabolic intermediate. In this study, we found that 2,4,6-trimethylpyrillium tetrafluoroborate (TMPy) can selectively and efficiently react with target catecholamine molecules. Specifically, simultaneous visualization of DA and NE as metabolites of l-DOPA with high steric hinderance was achieved by derivatized-imaging mass spectrometry (IMS). Interestingly, l-DOPA showed strong localization in the brainstem, in contrast to the pattern of DA and NE, which co-localized with tyrosine hydroxylase (TH). In addition, to identify whether the detected molecules were endogenous or exogenous l-DOPA, mice were injected with l-DOPA deuterated in three positions (D3-l-DOPA), which was identifiable by a mass shift of 3Da. TMPy-labeled l-DOPA, DA and NE were detected at m/z 302.1, 258.1 and 274.1, while their D3 versions were detected at 305.0, 261.1 and 277.1 in mouse brain, respectively. l-DOPA and D3-l-DOPA were localized in the BS. DA and NE, and D3-DA and D3-NE, all of which are metabolites of L-DOPA and D3-l-DOPA, were localized in the striatum (STR) and locus coeruleus (LC). These findings suggest a mechanism in the brainstem that allows l-DOPA to accumulate without being metabolized to monoamines downstream of the metabolic pathway.
Introduction
Neurotransmitters in the mammalian brain are known to be involved in modulating the signal transduction underlying cognitive functions, sleep and emotion. Catecholamines such as l-dihydroxyphenylalanine (l-DOPA), dopamine (DA) and norepinephrine (NE) are synthesized from tyrosine by tyrosine hydroxylase (TH), aromatic l-amino acid decarboxylase (AADC) [1] and dopamine-β-hydroxylase. Due its rapid metabolism, little is known about the localization of l-DOPA in the brain [2], which is the direct precursor of dopamine (DA) and subsequent catecholamines. Importantly, l-DOPA is used as symptomatic therapy for Parkinson’s disease [3]. A clear and logical understanding of the relationships between neurotransmitters and disease requires knowledge of the spatial distribution of neurotransmitters and how it relates to the neuroanatomy of the brain. Gene expression analysis enables spatial visualization of genes involved in neurotransmitter metabolism; however, this is an indirect approach that can be difficult to correlate to neurotransmitter concentrations. Moreover, the use of immunohistochemical methods to characterize neurotransmitter localization is limited by the difficulty in generating antibodies that recognize small molecules such as catecholamines. Thus, immunological detection of small molecules is plagued by a lack of specificity for the target molecules. Although chromatography can be used to quantitatively evaluate l-DOPA concentrations, such methods are not well suited for deriving spatial information for the purpose of anatomical visualization. Functional magnetic resonance imaging (fMRI) that uses the power of magnetism to take image of body’s organ and blood vessel, non-invasively [4, 5]. fMRI is powerful in clinical examination to investigate and image brain function from a signal that constructed by blood oxygenation level-dependent (BOLD) contrast [6], although an identification of molecules does not. Thus, an accurate visualization method with good spatial resolution is important for understanding monoamine metabolism. Imaging mass spectrometry (IMS) can easily recognize and provide such spatial information. Following two-dimensional MS measurements of sample sections at regular intervals, reconstruction of the target signals is obtained as an ion image. Therefore, IMS enables simultaneous detection of multiple analytes, even in the absence of target-specific markers such as antibodies [7–9], in a single experiment. To date, this method has been reported in various areas of study such as biology [10], pharmacy [9, 11], food chemistry [12–14], plant science [15, 16] and neuroscience [17–19].
In recent approaches, IMS using nucleotide as an aptamer was used for protein imaging to improve the selectivity and sensitivity [20, 21]. Because the aptamer possess high affinity towards the target molecules owing to its specific three dimensional structures [22]. In addition, tissue derivatization has been used to expand the range of molecules that can be imaged, resulting in a more versatile molecular imaging method. Although several derivatization reagents have been reported, the number of compounds to which they are applicable is limited, and more versatile derivatization reagents are required. The combination of derivatization and IMS has enabled localization of monoamines such as DA, serotonin and NE [23]. Following injection of l-DOPA to rats, DA was imaged at striatum (STR) using IMS [24], possibly indicating that exogenous l-DOPA may cross the blood brain barrier (BBB) to enter the brain and metabolized to DA.
We have also reported that a derivatization reagent with a basic pyrylium structure could be used to efficiently detect small molecules that contain primary amine groups through the reaction of pyrylium salts with nucleophiles under alkaline conditions [25, 26]. Notably, 2,4,6-trimethylpyrylium tetrafluoroborate (TMPy) selectively and efficiently reacts with the amino group of monoamines compared with other derivatization reagents that contain polyaromatic moieties (S1 File).
In this study, we used IMS with TMPy-based derivatization to clarify monoamine metabolization by identifying the brain regions where they exert their effects as well as the pathways by which they were translocated to the destination regions. Two techniques were used to investigate l-DOPA metabolism using IMS with TMPy-based derivatization. In the first, the metabolism of l-DOPA was inhibited by 3-hydroxybenzylhidrazine (NSD-1015), which is an inhibitor of AADC [27], in order to clearly image minute amounts of l-DOPA due to its rapid metabolism in the brain. The second involves deuterium-substituted l-DOPA (3-(3,4-dihydroxyphenyl-2,5,6-D3)-l-alanine:D3-l-DOPA) as a stable isotope compound, which was intraperitoneally (i.p.) injected to enable the discrimination of endogenous from exogenous l-DOPA. The metabolism of other catecholamines such as DA and NE in the brain was also assessed. Application of this direct and absolute quantitative IMS method to the brain is of significant value to neurobiologists and mass spectrometrists. Therefore, visualization of l-DOPA in brain regions provides fundamental knowledge as well as advances research into cranial neuropathies.
Material and method
MALDI TOF-MS
The following TMPy-labeled catecholamine solutions were prepared: l-DOPA: 10 pmol/μL, DA: 10 pmol/μL and NE: 10 pmol/mL (Sigma-Aldrich, Burlington, MA, USA) and D3- l-DOPA (Taiyo Nippon Sanso Co., Tokyo, Japan): 10 pmol/mL. A 2.5 μL aliquot of each sample solution was mixed with 7.5 μL of TMPy (Taiyo Nippon Sanso Co., Tokyo, Japan) (30 mM) (methanol/water/triethylamine = 70/25/5, v/v as a reaction solution) in a sealed 0.2 mL PCR test tube. The mixture was then heated at 60°C for 10 min. A 1.0 μL aliquot of suspension containing TMPy-labeled catecholamine and CHCA (10 mg/mL) was placed on a target plate using a pipette. Ionization of TMPy-labeled l-DOPA, DA, NE and D3- l-DOPA was confirmed by MALDI-TOF-MS (rapifleX, Bruker Daltonik, Bremen, GmbH). The analyte surface was irradiated with 1,000 laser shots, and TOF spectra were acquired in positive ion detection mode.
Animal experiments
Eight-week-old female C57BL/6JJcl mice (23–25 g; Clea Japan, Tokyo, Japan) were used in accordance with the institutional Animal Experimental Guidelines of Fukushima University and approved by the Laboratory Animal Care and Use Committee of Fukushima University [Permission number, B-02]. To clearly determine the localization of l-DOPA, mice were pretreated with 3-hydroxybenzylhydrazine (Sigma-Aldrich, Burlington, MA, USA), (NSD-1015 100 mg/kg) as an inhibitor of l-aromatic amino acid decarboxylase by intraperitoneal injection (i.p.). Forty minutes following injection of NSD-1015, normal saline (control) or l-DOPA or D3- l-DOPA (100 mg/kg) was individually i.p. injected. After 120 min, all mice were euthanized by cervical dislocation. The brains of these mice were dissected using surgical scissors and tweezers at room temperature, embedded into a super cryo-embedding medium (Section Lab Co., Ltd., Hiroshima, Japan), flash-frozen in liquid N2 and stored at −80°C until use. The left hemisphere was embedded in cryo-embedding medium (SECTION-LAB Co. Ltd. Hiroshima, Japan) and cut into serial sagittal sections (8 μm) using a cryostat (NX70, Thermo Fisher Scientific, Waltham, Massachusetts, USA). To investigate l-DOPA metabolism in the brain, we similarly generated a mouse model without NSD-1015.
MALDI-TOF IMS
TMPy (4.8 mg/200 μL), (Taiyo Nippon Sanso Co., Tokyo, Japan) solution was applied to brain sections using anairbrush (Procon Boy FWA Platinum 0.2-mm caliber airbrush, Mr. Hobby, Tokyo, Japan). To enhance the reaction efficiency of TMPy on sections, the TMPy sprayed sections were placed into a dedicated container and allowed to react at 60°C for 10 min. The container contains two channels in the central partition to wick moisture from the wet filter paper region to the sample section region. The filter paper is soaked with 1 mL of methanol/water (70/30 v/v) is placed next to the section inside the container. The container is then completely sealed to maintain humidity levels (S1 File). The TMPy-labeled brain sections were sprayed with matrix (CHCA-acetonitrile/water = 50/50) using an automated pneumatic sprayer (TM-Sprayer, HTX Tech., Chapel Hill, NC, USA). Ten passes were sprayed according to the following conditions: flow rate, 120 μL/min; air flow, 10 psi; nozzle speed, 1100 mm/min.
In order to detect the laser spot area, the sections were scanned and laser spot areas (200 shots) were detected with a spot-to-spot center distance (100 μm). Signals between m/z 100–1000 were corrected. The section surface was irradiated with YAG laser shots in the positive ion detection mode. The laser power was optimized to minimize in-source decay of targets. Obtained MS spectrum were reconstructed to produce MS images with a mass bin width of m/z ± 0.05 from the exact mass using FlexImaging 4.0 software (Bruker Daltonics Bremen, GmbH). The peak intensity value of the spectra was normalized by dividing with the total ion current (TIC) to achieve semi-quantitative analysis between l-DOPA-treated and control mice. Optical images of brain sections were obtained by a scanner (GT-X830, Epson, Tokyo, Japan), followed by MALDI-TOF imaging MS of the sections.
Ultra performance liquid chromatography (UPLC)
UPLC was used to quantitate the amount of l-DOPA and DA. The right brain of each mouse was divided into the brain stem, cerebellum and cerebrum (including striatum and olfactory bulb) and each region was homogenized using a ultrasonic homogenizer (Yamato Scientific co., Tokyo Japan). The obtained suspension was centrifuged to remove insoluble materials.
The supernatant of the rough extraction was purified with a spin column (MonoSpin PBA, GL Sciences, Torrance, CA, USA). The supernatant of the rough extraction was applied to the spin column and centrifuged at 10,000 × g for 2 min at room temperature (RT). A 0.5 mL volume of 0.1 M HEPES buffer (pH 8.5) was applied to the spin column and centrifuged at 5,000 × g for 1 min to remove any residues. Finally, 0.1 mL of 1% acetic acid was added to the spin column and centrifuged at 10,000 × g for 1 min at RT to elute the target l-DOPA and dopamine.
The obtained extract was analyzed using a UPLC system (ACQUITY, Waters, USA) consisting of a binary pump, degasser, autosampler, thermostated column oven and fluorescence detector (ex/em 230/300 nm). An ODS column (ACQUITY BEH Shield RP18, 1.7 μm, 2.1 × 50 mm, Waters) was used. Ammonium acetate-methanol-trifluoroacetic acid (20 mM, 80:0.9:1, v/v/v) was employed as the mobile phase at a flow rate of 0.5 mL/min and run time of 5 min.
Results and discussion
TMPy-labeled monoamines
All analyses were performed six times to confirm the reproducibility of the technique. The detected masses of TMPy-labeled standard l-DOPA (m/z 302.1), D3-l-DOPA (m/z 305.1), DA (m/z 258.1) and NE (m/z 274.1) increased by 105.0 Da compared with the original masses (Mw 197.1, 200.1, 153.1 and 169.1). Tandem MS confirmed the fragmentation ions of TMPy from the standard sample (Table 1). A fragmented ion of the pyridine ring moiety (m/z 122.1) was regularly cleaved and observed for all TMPy-modified target molecules.
Table 1. Selected monitor ions and detection limit for TMPy-labelled standard catechol amines.
Target | Precursor (m/z) | Fragment (m/z) | LOD (pmol) |
---|---|---|---|
l-DOPA | 198.1 | 181.1 | 24.7 |
D3-l-DOPA | 201.1 | 184.0 | 42.4 |
Dopamine (DA) | 154.1 | 137.0 | 221 |
Noradrenaline (NE) | 170.2 | 153.1 | 87.7 |
TMPy-l-DOPA | 302.1 | 122.1, 181.1 | 0.72 |
TMPy-D3-l-DOPA | 305.1 | 122.1, 184.0 | 0.50 |
TMPy-DA | 258.1 | 122.1, 137.0 | 5.90 |
TMPy-NE | 274.1 | 122.1, 153.1 | 0.05 |
As well as standard target result, TMPy could react to catechol amins on section (Table 2 and S1 File). From section results, DA and D3-DA, and NE and D3-NE could confirm indicating that injected-l-DOPA and -D3-l-DOPA metabolized into DA and D3-DA, and NE and D3-NE in brain. All detected precursor ions showed TMPy-fragmented ion (m/z 122.1), although NE and D3-NE did not detect main body ions (m/z 153.1 and 156.1) due to may lower metabolism from DA into NE. The detection of both precursor and fragmented TMPy unequivocally demonstrates the modification of the target molecule by TMPy.
Table 2. Selected monitor ions and detection limit for TMPy-labelled catechol amines on brain.
Target | Precursor (m/z) | Fragment (m/z) |
---|---|---|
TMPy-l-DOPA | 302.1 | 122.1, 181.1 |
TMPy-D3-l-DOPA | 305.1 | 122.1, 184.0 |
TMPy-DA | 258.1 | 122.1, 137.0 |
TMPy-D3-DA | 261.1 | 122.1, 140.1 |
TMPy-NE | 274.1 | 122.1 |
TMPy-D3-NE | 277.1 | 122.1 |
All TMPy derivatized target molecules can be aligned in positive mode, which suggested measurements in both polarities are not required even so original target ion polarities is negative. These results demonstrated the utility of TMPy in improving ionization efficiency. A summary of the target molecules for detected ions and limits of detection (LOD) is shown in Table 1. LOD was calculated from Eq (1).
(1) |
where s is the standard division of the signal-to-noise ratio and a is the slope of the calibration curve.
The structure of most conventional derivatization reagents consists of a polyaromatic molecule [24]. Thus, the primary amino group that binds to short alkyl chains like l-DOPA cannot efficiently react with conventional derivatization reagents. Importantly, TMPy was able to react with the amine group of l-DOPA without steric hindrance, suggesting that TMPy is one of a few reagents that can efficiently detect small molecule.
TMPy has another advantage in tandem MS imaging. We were able to regularly detect fragmented TMPy (m/z 122.1) from TMPy-labeled targets, which provides supporting evidence for the detection of derivatized target molecules in MS mode. Candidate m/z for target catecholamines indicated TMPy (m/z 122.1) in the brain, suggesting successful Py-labeling on the tissue section. For example, when we imaged dopamine at m/z 258.1 (TMPy-DA candidate), the tandem MS image for m/z 122.1 (precursor ion at m/z 258.1) clearly showed a corresponding localization (S1 File).
UPLC for l-DOPA and DA in NSD-1015-treated mouse brain
The brain was divided into the cortex, cerebellum and brain stem (BS), and l-DOPA and DA (see experimental section) were extracted from each brain region. l-DOPA and DA standards were separated under the same gradient conditions. In this experiment, D3-l-DOPA was converted using the l-DOPA standard. We selected 2 different peaks that correspond to l-DOPA (retention time, RT: 0.5 min) and DA (RT: 0.9 min). These retention times are reasonable for reversed phase LC because of the dependence on molecular hydrophobicity, which is affected by the presence/absence of carboxyl groups on the side chain. The targets were quantified using a standard method based on peak area. The amounts of l-DOPA were 1.1 ± 0.2, 0.8 ± 0.2, 3.6 ± 0.6 and 4.0 ± 0.1 ng/mg in the cortex; and 1.9 ± 0.1, 2.5 ± 0.96, 4.3 ± 4.2 and 4.7 ± 0.5 ng/mg in the cerebellum and 3.9 ± 1.0, 9.3 ± 2.3, 100 ± 1.9 and 77 ± 6.5 ng/mg in the BS for the control, NSD-1015-treated, (NSD-1015 and l-DOPA)-treated and (NSD-1015 and D3-l-DOPA)-treated mice, respectively. In a comparison of the cortex and cerebellum regions, the amount of l-DOPA showed no significant difference regardless of the experimental condition. In the BS, significantly elevated levels of l-DOPA were observed in the (NSD-1015 and l-DOPA)-treated and (NSD-1015 and D3-l-DOPA)-treated mice compared to the control and NSD-1015-treated mice (P<0.01) (Fig 1A). On the other hand, the highest levels of DA (86 ± 0.2 ng/mg) were observed in the cortex of control mice compared to the other regions and experimental conditions (i.e., 1–4.5 ng/mg) (Fig 1B), indicating that normal metabolism from L-DOPA to DA progressed in the brain. This result indicates that NSD-1015 treatment directly affected the amount of l-DOPA in the brain. The amount of l-DOPA was clearly elevated in the BS, suggesting that the l-DOPA firstly accumulate at BS due to inhibition of metabolism by NSD-1015. To prove this result, we visualized the localization of monoamines by TMPy derivatization-based imaging MS.
TMPy derivatization-based imaging MS
NSD-1015 inhibition of l-DOPA metabolism
In this experiment, the exact location of monoamines was investigated with the use of TMPy derivatization-based imaging MS. TMPy derivatization of all target signals was confirmed by tandem MS at m/z 302.1, 305.1 and 258.1 in tissue sections and showed a pyrylium signal (m/z 122.1) correlated with the fragmented ion of TMPy-derivatized l-DOPA, D3-l-DOPA and DA, respectively. The obtained imaging data were normalized to total ion counts. From all samples (control (Fig 2A), NSD-1015-treated (Fig 2B), NSD-1015 and l-DOPA-treated (Fig 2C) and NSD-1015 and D3-l-DOPA-treated mice (Fig 2D)), TMPy-labeled l-DOPA (m/z 302.1) was detected and mainly imaged in the brain stem (BS), a region that is related to sensory function and behavior (Fig 2A1, 2B1, 2C1 and 2D1), although differences in the image contrast were observed. Relative comparisons of total ion counts for l-DOPA at the BS indicated ratios of 0.2:1:2.1:0.8 (control: NSD-1015-: NSD-1015 and l-DOPA-: NSD-1015 and D3-l-DOPA-treated mice). The image was clearer when NSD-1015 was treated (Fig 2B1) compared to the control (Fig 2A1), indicating that NSD-1015 could inhibit l-DOPA metabolism. In addition, l-DOPA levels were increased following l-DOPA treatment and showed the highest intensity in the BS (Fig 2C1) compared to the other regions. The image of TMPy-D3-l-DOPA (m/z 305.1) was confirmed in only the D3-l-DOPA-treated brain and showed localization in the BS region (Fig 2D2), indicating that the injection of exogenous D3-l-DOPA could cross the BBB and enter the brain. For l-DOPA from both l-DOPA- and D3-l-DOPA-injected brains, we found that l-DOPA was delivered to and preferentially accumulated in the BS which is in good agreement with the UPLC data (Fig 1).
DA as a metabolite of l-DOPA was also imaged in the Caudate-Putamen (CPu) under all experimental conditions (Fig 2A3, 2B3, 2C3 and 2D3). The control brain showed the highest contrast (Fig 2A3) compared with the others. In groups treated with NSD-1015, DA was hardly detected in the brain due to NSD-1015 inhibition of l-DOPA metabolism to DA (Fig 2B3).
It is known that l-DOPA was rapidly decarboxylated and formed DA in the substantia nigra (SN) by the action of aromatic l-amino acid decarboxylase (AADC), and was transported to the CPu. Until now, little is known about the localization of l-DOPA in the brain [2]. Immunostaining method is common approach to determine localization biotargets. Okamura et al. showed that l-DOPA-immunoreactive (IR) neurons are located in the ventral tegmental area (VTA) but not in the STR. In contrast, DA could be detected in the VTA and STR. They hypothesized that l-DOPA was below the detection limit of the immunological technique in the other regions [1]. As other target to evaluate catecholamines, Tyrosine hydroxylase (TH) is the rate-limiting enzyme in DA synthesis and is known to localize in the STR and to be absent in the BS [28–30]. Thus, it is difficult to visualize l-DOPA in the brain. Our data suggested that while IR and TH can be used to evaluate DA synthesis, TMPy derivatization-based IMS can be used to evaluate l-DOPA localization by direct molecular imaging. To determine optimized reaction condition of TMPy, different TMPy reaction conditions with the targets were considered. One is imaging experiment has achieved without incubation. Target molecules did not detect and image clearly without incubation, indicating that TMPy needed to be under moist state in order to react with target molecules. The other one is imaging experiment has achieved with methanol/ water (30/70 v/v) condition. Under this condition, obscure image was obtained due to that target molecule has migrated from original position due to moist-state (data not shown). Thus, our suggested condition (methanol/water (70/30 v/v) solution at 60°C. for 10 min.) is most suitable to react TMPy derivatization reagent on section.
Non-inhibited l-DOPA metabolism
To visually evaluate the metabolism of l-DOPA or D3-l-DOPA in the brain, l-DOPA- (Fig 3A–3G) or D3-l-DOPA- (Fig 3H–3N) treated mouse brains without NSD-1015 were assessed. For normal mice without NSD-1015, l-DOPA was hardly imaged in the brain sample (Fig 2A1). Thus, in this experiment, l-DOPA-treated mice were the control. TMPy-l-DOPA (m/z 302.1) was localized in the BS in both l-DOPA-injected and D3-l-DOPA-injected brains (Fig 3B and 3I). This was similar to the distribution observed following NSD-1015 treatment (Fig 2), although a slight decrease was observed. The relative intensities observed in (NSD-1015 and l-DOPA)-injected (Fig 2B1), l-DOPA-injected (Fig 3B) and D3-l-DOPA-injected brains (Fig 3I) were 4:1:1.1. Notably, the localization of l-DOPA between l-DOPA-injected and D3-l-DOPA-injected brains showed some differences. The BS is divided into two regions, the pons (P) and medulla (MY)). l-DOPA localized in the entire BS region in the l-DOPA-injected mice (Fig 3B). On the other hand, D3-l-DOPA-injected mice exhibited l-DOPA localization in only the P in the BS (Fig 3I). No localization of l-DOPA in the MY was observed. The observed difference between l-DOPA- and D3-l-DOPA-injected mice is attributable to the presence of exogenous l-DOPA. We hypothesized that exogenous l-DOPA was first delivered to the MY through the medulla spinalis, and subsequently translocated from the MY to the P. Thus, D3-l-DOPA-injected mice showed no localization of l-DOPA in the MY as a result of the lack of an endogenous supply of l-DOPA.
In addition, we were able to image TMPy-D3- l-DOPA (m/z 305.1) at the boundaries between the P and MY, rather than being restricted to the P region (Fig 3J), which represents an image of D3- l-DOPA being transported from the MY to P and supports our hypothesis.
The striatum (STR) is divided into two regions, the caudate putaman (CPu) and nucleus accumbens (NAcc). TMPy-DA (m/z 258.1) was able to be imaged and was localized in the STR (both CPu and NAcc) in l-DOPA-treated mice (Fig 3D). In D3-l-DOPA-treated mice, DA was weakly imaged in the STR (Fig 3K). Relative comparison of total ion counts for DA in the STR indicated 1.8:1 (l-DOPA-treated mice: D3-l-DOPA-treated mice) due to treatment with exogenous l-DOPA. In contrast, TMPy-D3-DA (m/z 261.1) was mainly imaged in the CPu in the D3-l-DOPA-treated mice (Fig 3L), indicating that D3-l-DOPA is metabolized to D3-DA in the brain. The relative intensity of D3-l-DOPA increased by about 1.4-fold in the D3-l-DOPA-treated mice compared with DA in the l-DOPA-treated mice (Fig 3D). We discussed for a projection pathway of DA from IMS data. Generally, the CPu and NAcc receives DA input primarily from the SN and ventral tegmental area (VTA), respectively. The DA which received from SN and VTA differentially works to action or reward forecast, respectively. From IMS data, DA localized at whole STR indicating that treated-L-DOPA transported from both VTA and SN (Fig 3D). In contrast, D3-DA was mainly imaged at CPu, indicating D3-L-DOPA preferentially transported to SN. Subsequently, D3-DA which was D3-L-DOPA metabolite transported to CPu from SN (Fig 3L). Thus, we hypothesized D3-L-DOPA may correlates with an action although we should examine this phenomenon mechanism using other animal model (ie. Parkinson’s disease model). To assess subsequent metabolism of DA to NE, TMPy-derived NE was detected at m/z 274.1 and was localized in the local coeruleus (LC), hypothalamus (HY) and P in the brains of l-DOPA-treated mice (Fig 3F). D3-NE was not imaged in the l-DOPA-treated mouse brain (Fig 3G). It is known that NE projections to the HY are involved in cognitive function. NE projects to the P and MY, regions that are adjacent to adrenergic neurons [31], which suggests that NE was preferentially used as a precursor of adrenaline when there was an abundance of NE in the brain. Adrenaline in the MY subsequently forms descending projections that regulate the sympathetic nerve. In fact, D3-l-DOPA-treated mice showed localization of NE only in the LC due to the lack of excess l-DOPA, as observed for l-DOPA treated mice (Fig 3M). Additionally, D3-NE (m/z 277.1), which is a metabolite of D3-DA, was imaged in the LC, thalamus (TH), HY and cerebral cortex (CTX). Interestingly, the relative intensity of D3-NE increased by about 1.7-fold in D3-l-DOPA-treated mice compared with NE in l-DOPA-treated mice due to the presence of several projection regions (Fig 3F and 3N). The projection to several regions could indicate that deuterated NE was used a neurotransmitter in cognitive function [32], escape of stress [33] and awareness [34] rather than as a precursor of adrenaline.
In conclusion, our findings demonstrated the localization of l-DOPA and its metabolites using TMPy derivatization-based imaging mass spectrometry technique. Due to improvements in LOD using the TMPy reagent, we were able to observe the localization and metabolism of catecholamines in the absence of NSD-1015. Deuterium-substituted l-DOPA was also imaged and enabled the differentiation between endogenous and exogenous l-DOPA in the brain. Moreover, deuterated l-DOPA was metabolized in vivo and formed deuterated DA and NE in the brain. Interestingly, the terminal region of neuronal projections differed for the metabolites of D3-l-DOPA such as D3-DA and D3-NE compared with that of l-DOPA. In addition, image intensity of deuterated DA (Fig 3L) and NE (Fig 3N) were higher than normal DA (Fig 3D) and NE (Fig 3F) suggesting that turnover of deuterated L-DOPA was faster that of normal L-DOPA, and metabolites were preferentially located in specific regions that are correlated with movement and cognition function. Further investigation is needed to clarify the function of deuterated l-DOPA and metabolites in the brain. Thus, in the future we will investigate the effect of deuterated l-DOPA on neurotransmitter function using animal models of cranial neuropathies.
Supporting information
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This research was funded by Japan Science and Technology (JST) Grants-in-A-STEP (VP30118067678 to S.T.), Grant-in-Aid for Scientific Research B (21H02133 to S.T.) and the LOTTE Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Okamura H, Kitahama K, Mons N, Ibata Y, Jouvet M, Geffard M. l-DOPA-immunoreactive neurons in the rat hypothalamic tuberal region. Neurosci Lett. 1988;95(1):42–6. doi: 10.1016/0304-3940(88)90629-5 [DOI] [PubMed] [Google Scholar]
- 2.Esteve C, Tolner EA, Shyti R, van den Maagdenberg AMJM, McDonnell LA. Mass spectrometry imaging of amino neurotransmitters: a comparison of derivatization methods and application in mouse brain tissue. Metabolomics: Official journal of the Metabolomic Society. 2016;12:30–. Epub 01/08. doi: 10.1007/s11306-015-0926-0 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Andersen AD, Blaabjerg M, Binzer M, Kamal A, Thagesen H, Kjaer TW, et al. Cerebrospinal fluid levels of catecholamines and its metabolites in Parkinson’s disease: effect of l-DOPA treatment and changes in levodopa-induced dyskinesia. J Neurochem. 2017;141(4):614–25. doi: 10.1111/jnc.13997 [DOI] [PubMed] [Google Scholar]
- 4.Casado-Aranda L-A, Van der Laan LN, Sánchez-Fernández J. Neural correlates of gender congruence in audiovisual commercials for gender-targeted products: An fMRI study. Hum Brain Mapp. 2018;39(11):4360–72. doi: 10.1002/hbm.24276 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Callicott JH, Ramsey NF, Tallent K, Bertolino A, Knable MB, Coppola R, et al. Functional magnetic resonance imaging brain mapping in psychiatry: Methodological issues illustrated in a study of working memory in schizophrenia. Neuropsychopharmacology. 1998;18(3):186–96. doi: 10.1016/S0893-133X(97)00096-1 [DOI] [PubMed] [Google Scholar]
- 6.Ogawa S, Lee TM, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proceedings of the National Academy of Sciences. 1990;87(24):9868–72. doi: 10.1073/pnas.87.24.9868 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Taira S, Sugiura Y, Moritake S, Shimma S, Ichiyanagi Y, Setou M. Nanoparticle-assisted laser desorption/ionization based mass imaging with cellular resolution. Anal Chem. 2008;80(12):4761–6. Epub 2008/05/15. doi: 10.1021/ac800081z . [DOI] [PubMed] [Google Scholar]
- 8.Stoeckli M, Chaurand P, Hallahan DE, Caprioli RM. Imaging mass spectrometry: a new technology for the analysis of protein expression in mammalian tissues. Nat Med. 2001;7(4):493–6. Epub 2001/04/03. doi: 10.1038/86573 . [DOI] [PubMed] [Google Scholar]
- 9.Taira S, Ikeda R, Yokota N, Osaka I, Sakamoto M, Kato M, et al. Mass spectrometric imaging of ginsenosides localization in Panax ginseng root. Am J Chin Med. 2010;38(3):485–93. Epub 2010/05/27. doi: 10.1142/S0192415X10008007 . [DOI] [PubMed] [Google Scholar]
- 10.Steinhauser ML, Bailey AP, Senyo SE, Guillermier C, Perlstein TS, Gould AP, et al. Multi-isotope imaging mass spectrometry quantifies stem cell division and metabolism. Nature. 2012;481(7382):516–9. http://www.nature.com/nature/journal/v481/n7382/abs/nature10734.html#supplementary-information. doi: 10.1038/nature10734 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wang R, Yamada T, Arai S, Fukuda K, Taniguchi H, Tanimoto A, et al. Distribution and Activity of Lenvatinib in Brain Tumor Models of Human Anaplastic Thyroid Cancer Cells in Severe Combined Immune Deficient Mice. Molecular Cancer Therapeutics. 2019. doi: 10.1158/1535-7163.MCT-18-0695 [DOI] [PubMed] [Google Scholar]
- 12.Shiota M, Shimomura Y, Kotera M, Taira S. Mass spectrometric imaging of localization of fat molecules in water-in-oil emulsions containing semi-solid fat. Food Chemistry. 2018;245(Supplement C):1218–23. doi: 10.1016/j.foodchem.2017.11.009 [DOI] [PubMed] [Google Scholar]
- 13.Ha M, Kwak JH, Kim Y, Zee OP. Direct analysis for the distribution of toxic glycoalkaloids in potato tuber tissue using matrix-assisted laser desorption/ionization mass spectrometric imaging. Food Chemistry. 2012;133(4):1155–62. 10.1016/j.foodchem.2011.11.114. [DOI] [Google Scholar]
- 14.Hase T, Shishido S, Yamamoto S, Yamashita R, Nukima H, Taira S, et al. Rosmarinic acid suppresses Alzheimer’s disease development by reducing amyloid β aggregation by increasing monoamine secretion. Scientific Reports. 2019;9(1):8711. doi: 10.1038/s41598-019-45168-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Shiono K, Hashizaki R, Nakanishi T, Sakai T, Yamamoto T, Ogata K, et al. Multi-imaging of Cytokinin and Abscisic Acid on the Roots of Rice (Oryza sativa) Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry. J Agric Food Chem. 2017;65(35):7624–8. doi: 10.1021/acs.jafc.7b02255 [DOI] [PubMed] [Google Scholar]
- 16.Huang L, Tang X, Zhang W, Jiang R, Chen D, Zhang J, et al. Imaging of Endogenous Metabolites of Plant Leaves by Mass Spectrometry Based on Laser Activated Electron Tunneling. Scientific Reports. 2016;6:24164. doi: 10.1038/srep24164 PMC4823709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Tatsuta Y, Kasai K, Maruyama C, Hamano Y, Matsuo K, Katano H, et al. Imaging mass spectrometry analysis of ubiquinol localization in the mouse brain following short-term administration. Scientific Reports. 2017;7(1):12990. doi: 10.1038/s41598-017-13257-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Shariatgorji M, Nilsson A, Goodwin Richard JA, Källback P, Schintu N, Zhang X, et al. Direct Targeted Quantitative Molecular Imaging of Neurotransmitters in Brain Tissue Sections. Neuron. 2014;84(4):697–707. doi: 10.1016/j.neuron.2014.10.011 [DOI] [PubMed] [Google Scholar]
- 19.Sugiura Y, Taguchi R, Setou M. Visualization of spatiotemporal energy dynamics of hippocampal neurons by mass spectrometry during a kainate-induced seizure. PLoS One. 2011;6(3):e17952. Epub 2011/03/30. doi: 10.1371/journal.pone.0017952 ; PubMed Central PMCID: PMC3062556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Subramanian N, Srimany A, Kanwar JR, Kanwar RK, Akilandeswari B, Rishi P, et al. Nucleolin-aptamer therapy in retinoblastoma: molecular changes and mass spectrometry–based imaging. Molecular Therapy—Nucleic Acids. 2016;5:e358. doi: 10.1038/mtna.2016.70 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yu Y, Dang J, Liu X, Wang L, Li S, Zhang T, et al. Metal-Labeled Aptamers as Novel Nanoprobes for Imaging Mass Cytometry Analysis. Anal Chem. 2020;92(9):6312–20. doi: 10.1021/acs.analchem.9b05159 [DOI] [PubMed] [Google Scholar]
- 22.Kim HJ, Park JY, Lee TS, Song IH, Cho YL, Chae JR, et al. PET imaging of HER2 expression with an 18F-fluoride labeled aptamer. PLOS ONE. 2019;14(1):e0211047. doi: 10.1371/journal.pone.0211047 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Sugiyama E, Skelly AN, Suematsu M, Sugiura Y. In situ imaging of monoamine localization and dynamics. Pharmacol Ther. 2020:107478. doi: 10.1016/j.pharmthera.2020.107478 [DOI] [PubMed] [Google Scholar]
- 24.Shariatgorji M, Strittmatter N, Nilsson A, Källback P, Alvarsson A, Zhang X, et al. Simultaneous imaging of multiple neurotransmitters and neuroactive substances in the brain by desorption electrospray ionization mass spectrometry. Neuroimage. 2016;136:129–38. doi: 10.1016/j.neuroimage.2016.05.004 [DOI] [PubMed] [Google Scholar]
- 25.Tatsuta Y, Tanaka Y, Ikeda A, Matsukawa S, Katano H, Taira S. Nanoparticle-Assisted Laser Desorption/Ionization Mass Spectrometry (Nano-PALDI MS) with Py-Tag for the Analysis of Small Molecules. Mass Spectrometry. 2017;6(Spec Iss 2):S0069. doi: 10.5702/massspectrometry.S0069 PMC5603941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Taira S, Ikeda A, Kobayashi S, Shikano H, Ikeda R, Maejima Y, et al. Comparative Analysis of Derivatization Reagents for Catecholamines and Amino Acids. Applied Sciences. 2021;11(13):6217. doi: 10.3390/app11136217 [DOI] [Google Scholar]
- 27.Nissbrandt H, Engberg G, Wikstrom H, Magnusson T, Carlsson A. NSD 1034: an amino acid decarboxylase inhibitor with a stimulatory action on dopamine synthesis not mediated by classical dopamine receptors. Naunyn Schmiedebergs Arch Pharmacol. 1988;338(2):148–61. Epub 1988/08/01. doi: 10.1007/BF00174863 . [DOI] [PubMed] [Google Scholar]
- 28.Xenias HS, Ibáñez-Sandoval O, Koós T, Tepper JM. Are Striatal Tyrosine Hydroxylase Interneurons Dopaminergic? The Journal of Neuroscience. 2015;35(16):6584–99. doi: 10.1523/JNEUROSCI.0195-15.2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Betarbet R, Turner R, Chockkan V, DeLong MR, Allers KA, Walters J, et al. Dopaminergic neurons intrinsic to the primate striatum. J Neurosci. 1997;17(17):6761–8. Epub 1997/09/01. doi: 10.1523/JNEUROSCI.17-17-06761.1997 ; PubMed Central PMCID: PMC6573124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gittis AH, Kreitzer AC. Striatal microcircuitry and movement disorders. Trends Neurosci. 2012;35(9):557–64. Epub 2012/08/04. doi: 10.1016/j.tins.2012.06.008 ; PubMed Central PMCID: PMC3432144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kvetnansky R, Sabban EL, Palkovits M. Catecholaminergic Systems in Stress: Structural and Molecular Genetic Approaches. Physiol Rev. 2009;89(2):535–606. doi: 10.1152/physrev.00042.2006 . [DOI] [PubMed] [Google Scholar]
- 32.Friedman JI, Adler DN, Davis KL. The role of norepinephrine in the pathophysiology of cognitive disorders: potential applications to the treatment of cognitive dysfunction in schizophrenia and Alzheimer’s disease. Biol Psychiatry. 1999;46(9):1243–52. doi: 10.1016/s0006-3223(99)00232-2 [DOI] [PubMed] [Google Scholar]
- 33.Lieberman HR, Thompson LA, Caruso CM, Niro PJ, Mahoney CR, McClung JP, et al. The catecholamine neurotransmitter precursor tyrosine increases anger during exposure to severe psychological stress. Psychopharmacology (Berl). 2015;232(5):943–51. doi: 10.1007/s00213-014-3727-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Mather M, Clewett D, Sakaki M, Harley CW. Norepinephrine ignites local hotspots of neuronal excitation: How arousal amplifies selectivity in perception and memory. The Behavioral and brain sciences. 2016;39:e200-e. Epub 07/01. doi: 10.1017/S0140525X15000667 . [DOI] [PMC free article] [PubMed] [Google Scholar]