Monoamine oxidase (MAO) is an enzyme that catalyzes the oxidative deamination of biogenic amines1,2. MAOs are localized in the outer membrane of mitochondria and have an important role in the metabolism of neuroactive monoamines, such as dopamine (DA), norepinephrine, serotonin, and melatonin, in the brain3. MAO exists as two isoenzymes, MAO-A and MAO-B, with different substrate specificities4. In particular, epinephrine, norepinephrine, melatonin, and serotonin are mainly metabolized by MAO-A, whereas phenylethylamine and benzylamine are mainly degraded by MAO-B5. The two isozymes also have differential cellular localizations in the brain: MAO-A is predominantly localized at the nigrostriatal DAergic axon terminals, while MAO-B is mostly localized in astrocytes and serotonergic neurons6,7,8. Owing to their substrate specificities, selective MAO inhibitors have been designed to inhibit the activity of a specific type of isoenzyme: clorgiline and moclobemide inhibit MAO-A, while selegiline, rasagiline, safinamide, and KDS2010 inhibit MAO-B9,10,11,12. Most of these MAO-A and MAO-B inhibitors are differentially prescribed to patients with depression and Parkinson’s disease (PD), respectively9.

Among various monoamine neurotransmitters, DA has traditionally been thought to be degraded by both MAO-A and MAO-B13,14,15,16,17. Accumulated DA in the synaptic cleft is taken up by DA neurons and surrounding astrocytes and then degraded by MAO and catechol-O methyltransferase (COMT). However, the contribution of MAO-B to DA degradation has been controversial. For instance, it has been demonstrated that MAO-B-deficient mice show no difference in striatal DA levels compared with wild-type mice18. Moreover, acute treatment with selegiline, an MAO-B inhibitor, has been reported to be ineffective in altering the striatal efflux of DA, whereas acute treatment with clorgiline, an MAO-A inhibitor, reduces DA metabolism19,20,21. Pargyline, another MAO-B inhibitor, was also reported to be ineffective in altering evoked DA release in the nucleus accumbens22. Furthermore, it has been previously reported that MAO-B inhibition shows only a marginal effect of blocking DA degradation in rat models of PD, while MAO-A inhibition shows a dramatic effect23. Although these accumulating lines of evidence have cast doubt on the major role of MAO-B in DA degradation, MAO-B is still widely believed to be involved in DA degradation due to the positive therapeutic effect of MAO-B inhibitors in PD patients.

In a series of recent studies, we demonstrated that the therapeutic effect of MAO-B inhibitors in PD could be mainly attributed to a decrease in the tonic inhibition of DA neurons in the SNpc24, based on compelling lines of evidence that MAO-B is the critical enzyme for GABA synthesis in reactive astrocytes24,25,26,27. We determined that MAO-B mediates astrocytic GABA synthesis through the putrescine degradation pathway in various brain areas, including the hippocampus, cerebellum, striatum, cortex, and SNpc11,24,25,26,27. Astrocytic GABA can be tonically released through a Ca2+-activated anion channel, Best125,28,29. Astrocytically released GABA binds to extrasynaptic GABA receptors to tonically inhibit the activities of neighboring neurons28. In addition, when astrocytes become reactive upon various physical or chemical insults, MAO-B-mediated astrocytic GABA synthesis is aberrantly upregulated24,25,30,31, leading to various neurological symptoms, such as parkinsonian motor symptoms in PD. In contrast to MAO-B, the possible role of MAO-A in tonic GABA inhibition has not been rigorously tested.

In this study, we investigated the contributions of MAO-A and MAO-B to nigrostriatal DA degradation and tonic GABA inhibition by multifaceted approaches, including in vivo fast-scan cyclic voltammetry (FSCV)32, in vivo multiple-cyclic square wave voltammetry (M-CSWV)33, ex vivo DA imaging34, and ex vivo whole-cell patch-clamp recording. Based on these findings, we redefined the differential roles of MAO-A and MAO-B: MAO-A participates in DA degradation and MAO-B in tonic GABA synthesis.

Materials and methods


Adult male Sprague Dawley rats (Koatech, Korea) weighing 250–350 grams (8 to 13 weeks old) were used for in vivo experiments for FSCV and M-CSWV recording (n = 7, each group). Male and female adult C57BL/6J mice (IBS Research Solution Center; 8 to 16 weeks old) were used for ex vivo DA imaging. Adult male Sprague Dawley rats (Daehan Biolink, Korea) weighing between 200–250 g (6 to 8 weeks old) were used for ex vivo patch-clamp experiments for tonic GABA recording (n = 5, each group). The animal experimental procedures were approved by the Institutional Animal Care and Use Committee of Hanyang University (Seoul, Korea), Korea Institute of Science and Technology (KIST; Seoul, Korea), and Institute for Basic Science (IBS; Daejeon, Korea). The animals were kept on a 12 h light-dark cycle with controlled temperature and humidity and had ad libitum access to food and water. Animal care was performed following National Institutes of Health (NIH) guidelines.


For pharmacological tests, selegiline and clorgiline were chosen for selective MAO-A and MAO-B inhibition and purchased from Sigma-Aldrich (St. Louis, MO). The reversible MAO-B inhibitor KDS2010 was provided by KIST. For in vivo FSCV and M-CSWV, selegiline (10 mg kg−1; i.p.), clorgiline (10 mg kg−1; i.p.) or KDS2010 (10 mg kg−1; i.p.) was dissolved in DI water and injected as a single dose of 500 µL. For ex vivo DA imaging, each compound (100 nM) was applied to the bath. For ex vivo patch-clamp experiments, acute brain slices were pre-incubated in each compound (100 nM).

In vivo voltammetry


Prior to surgery, rodents were anesthetized with intraperitoneal urethane (1.6 g/kg, i.p., Sigma-Aldrich, St Louis, MO) and stabilized on a stereotaxic frame (David Kopf Instruments, Tujunga, CA). The body temperature was maintained at 37 °C using a heating pad (TCAT-2, Harvard Apparatus). An incision was made in the skin to expose the skull, and then three holes with diameters of 0.5–1.0 mm were drilled in the skull for the implantation of a carbon fiber microelectrode (CFM), a bipolar electrical stimulating electrode (Plastic One, MS303/2, Roanoke, VA, USA), and an Ag/AgCl reference electrode. The reference electrode was positioned superficially in the cortical tissue contralateral to the hemisphere where the CFM and stimulating electrode were implanted. Electrode coordinates were defined by the rat brain atlas35 based on the skull position using the bregma as a reference point with coordinates anteroposterior (AP), mediolateral (ML), and dorsoventral (DV). The CFM was placed in the right hemisphere in the striatum (AP + 1.2 mm; ML + 2.0 mm; DV −4.5 to −5.5 mm), and the stimulating electrode was inserted into the medial forebrain bundle (MFB, AP −4.6; ML + 1.3; DV −8.0 to −9.0).


CFMs were fabricated as previously described33. A single carbon fiber (AS4, d = 7 μm; Hexel, Dublin, CA) was used for all experiments. The fiber was inserted into silica tubing (20 µm ID, 90 µm OD, 10 µm coated with polyimide; Polymicro Technologies, Phoenix, AZ) and covered with polyamic acid (Sigma-Aldrich, St. Louis, MO) at one end. The electrode was then heated to 200 °C to polymerize the polyamic acid into a polyimide film for fixation. The silica tubing was then attached to a nitinol wire (Nitinol #1, an alloy of nickel and titanium; Fort Wayne Metals, IN) with a commercial silver conductive paste (Sigma-Aldrich, St. Louis, MO). The carbon fiber-attached nitinol wire was insulated with polyimide tubing (0.0089”ID, 0.0134”OD, 0.00225” WT; Vention Medical, Salem, NH) with the carbon side exposed on the exterior. After the silver paste became solid, the exposed carbon fiber was trimmed under a dissecting microscope to a length of approximately 80–100 μm using a scalpel blade. PEDOT:Nafion coating was applied to the exposed carbon fiber by electrical deposition with a mixture of poly(3,4-ethylenedioxythiophene) and Nafion to increase their sensitivity and selectivity to DA and reduce in vivo biofouling36. Teflon-coated silver wire (A-M Systems, Inc., Sequim, WA) was prepared as an Ag/AgCl reference electrode.


Data collection and analysis of FSCV were performed using a commercial electronic interface (NIUSB-6363, National Instruments) with a base-station PC and software written in-house using LabVIEW 2016 (National Instruments, Austin, TX). FSCV was applied with a conventional triangular waveform (– 0.4 V to 1.3 V versus Ag/AgCl at 400 V/s scan rate) applied at a 10 Hz repetition rate. Before recording, the CFM and the electrical stimulating electrode were gradually adjusted until a robust phasic DA signal was detected. A train of bipolar pulses (2 ms pulse width, 350 µA, 60 Hz, 120 pulses) was delivered for 2 s every 10 min to evoke DA release. Before drug treatment, the carbon microelectrode was positioned and stabilized to the right recording site to optimize the DA signal. Phasic DA was evoked by biphasic electric stimulation of the MFB every 10 min. Each animal dataset consisted of a voltammogram of 40 min before and 180 min after treatment with an MAO inhibitor drug. We quantified the DA degradation kinetics with the exponential decay time (rate constant: K), which was fitted to a one-phase exponential curve.

$${\mathrm{Y}}({\mathrm{t}}) = {\mathrm{A}}0^ \ast {\mathrm{e}}^{ - {\mathrm{k}} \ast {\mathrm{t}}} + {\mathrm{B}}0$$

where t represents the time, k is the decay constant, A0 is the starting value, and B0 is the plateau value. Data processing, including background subtraction, averaging, and digital filtering, was performed for all voltammogram datasets by MATLAB (MathWorks Inc., Natick, MA, USA).


M-CSWV was performed using the same equipment used in the FSCV experiment except for an in-house built current-to-voltage amplifier without an analog filter to preserve sharp current responses to the square pulse. M-CSWV data were collected in the form of a sequence of unsigned 2-byte integers, saved to the base-station computer, and processed with a custom software control made by MATLAB (MathWork Inc., Natick, MA). Data processing included temporal averaging, filtering, and simulating background currents. The basal DA response was extracted from the 2-dimensional voltammogram using the DA-kernel method. We also used the same M-CSWV parameters proposed in the previous research33. Five cyclic square waveforms, which consisted of a large-amplitude square wave modulation on top of a symmetric staircase waveform, were applied in sequence at a frequency of 0.1 Hz. EStaircase, EInitial (=EEnd), and τ(tau) were fixed at 25 mV, −200 mV, and 1.0 ms, respectively. The experimental protocol of basal-level monitoring was performed by the same protocol as the FSCV experiment. Once an optimal CFM recording site was identified, the device was changed to the M-CSWV recording system for tonic DA concentration recording. In contrast to the FSCV experiment, however, rats were constantly measured without electrical stimulation. Pharmacological effects on tonic DA concentrations were calculated in a circular DA area extracted from the maximum amplitude of the pseudocolor plot.

Ex vivo DA imaging

Virus construct

The AAV-hSyn-GRABDA2m viral vector was kindly provided by Yulong Li’s laboratory. AAV containing hSyn-GFABDA2m was packaged by the IBS virus facility (Daejeon, Korea). All viruses were diluted immediately before injection (1/5 dilution with saline).

Stereotaxic injection

Mice were anesthetized with 1–2% isoflurane and placed on a stereotaxic apparatus (68537, RWD). After incision, the skull was cleaned and leveled in the coronal and sagittal planes using the bregma and lambda as reference points. Using a dental drill, holes were made bilaterally in the skull targeting the striatum using the following coordinates37: AP, 0.5 mm; ML, ±1.5 mm; DV, −3.3 mm from the bregma. AAV expressing hSyn-GRABDA2m was loaded into a vertically pulled VWR microdispenser (53508–375, SP Scientific). Virus injection was performed using a microinfusion pump (Legato 130, KD Scientific) at a rate of 0.1 μL/min with a 0.5 μL volume in each hemisphere. The injection needle was left in place for an additional 10 min before the withdrawal. After at least 2 weeks of recovery, the mice were used for experiments.

DA imaging

Animals were deeply anesthetized with 1–2% isoflurane, followed by decapitation. The brain was quickly excised from the skull and submerged in ice-cold dissection buffer (in mM): 212.5 sucrose, 26 NaHCO3, 10 D-glucose, 5 MgCl2, 3 KCl, 1.25 NaH2PO4, and 0.1 CaCl2; pH 7.4, saturated with 95% O2 and 5% CO2. Coronal slices of 300-μm thickness were cut with a vibratome (D.S.K LinearSlicer pro 7, Dosaka EM Co. Ltd). Slices were then transferred to an incubation chamber with artificial cerebrospinal fluid (aCSF) (in mM): 130 NaCl, 24 NaHCO3, 3.5 KCl, 1.25 NaH2PO4, 1.5 CaCl2, 1.5 MgCl2, and 10 glucose; pH 7.4, at room temperature. After 1 h of stabilization, brain slices were transferred into a perfusion chamber where aCSF continuously flowed over slices at 1–2 mL/min. To visualize the GRABDA2m sensor, a blue LED (pE340fura, CoolLED) was applied to brain slices under a fluorescent upright microscope with a ×10 objective. After confirming sensor expression, phasic DA release was evoked by a single pulse (40 µA with a 2 ms pulse width) from the stimulating electrode. Stimulations were administered near the sensor-expressed region every 10 mins during the experiments. After the first electrical stimulation, we chose approximately ten different regions of interest (ROIs) that responded to stimulation. To measure the phasic DA release, the peak of the sensor signal was normalized by its baseline (ΔF/F0 ratio). Before drug treatment, the baseline phasic DA release was measured by acquiring 3 successive similar levels of DA signals. It usually took 30–60 mins to obtain stable DA release. After stabilization, drugs were delivered by continuous bath application for 1 h. Every 10 min, the peak DA release was measured in every ROI and averaged to obtain a single value. Acquisition and ROI analysis was performed using Imaging Workbench (INDEC Biosystem) and ImageJ (NIH).

Whole-cell patch-clamp

Acute 300 μm-thick striatum-containing slices were prepared with a vibratome (D.S. K LinearSlicer pro 7, Dosaka EM Co. Ltd) and washed in aCSF buffer containing (in mM): 134 NaCl; 2.5 KCl; 1.3 MgCl2; 2 CaCl2; 1.25 K2HPO4; 26 NaHCO3; 10 d-glucose at pH 7.4 for at least 1 h. The buffer solution was saturated with carbogen (95% O2, 5% CO2). The slices were transferred to a recording chamber and constantly washed with aCSF solution at a speed of 2 mL/min. All experiments were performed in voltage-clamp mode. The slice chamber was mounted on the stage of an upright Olympus microscope and visualized with a 60x water immersion objective (NA = 0.90) with infrared differential interference contrast optics and a CCD camera by using Imaging Workbench software (Indec BioSystems). Whole-cell recordings were performed on striatal neurons located in the dorsal striatum. Most of these recorded striatal neurons were medium spiny neurons by morphology. However, we did not further characterize them as D1-positive or D2-positive neurons. The cells were held at −60 mV. The pipette had a resistance of 6–8 MΩ and was filled with the following intracellular solution (in mM): 135 CsCl; 4 NaCl; 0.5 CaCl2; 10 HEPES; 5 EGTA; 10 QX-314; pH 7.2 with NaOH (278–285 mOsmol). Before recording the tonic GABA current, the baseline current was stabilized with D-AP5 (50 μM) and CNQX (20 μM). Electrical signals were digitized and sampled at 50 ms intervals with a Digidata 1440 A and a Multiclamp 700B amplifier (Molecular Devices) using pCLAMP 10.2 software. Data were filtered at 2 kHz. The amplitude of the tonic GABA current was measured by the baseline shift after bicuculline (50 μM) administration using Clampfit 10.7 (Molecular Devices). The frequency and amplitude of spontaneous inhibitory postsynaptic currents (sIPSCs) before bicuculline administration were detected and analyzed by Template Search in Clampfit 10.7.

Statistical analysis

Statistical analyses were performed using Prism 8 (GraphPad Software, Inc.). For the comparison of two groups, an unpaired Student’s t-test was used. For the comparison of multiple groups, a one-way analysis of variance (ANOVA) with Tukey’s multiple comparison test was used. For the assessment of differences associated with a certain intervention in two groups, the significance of the data was assessed by paired Student’s t-test. Data from multiple independent experiments were assumed to have normal variance. All data were tested to determine whether they were normally distributed. For the data that were not normally distributed, the Kruskal-Wallis test was used instead of one-way ANOVA for statistical analysis. When the data showed unequal variance between groups, Brown-Forsythe and Welch ANOVA tests were used with Dunnett’s multiple comparison test. P < 0.05 was considered to indicate statistical significance throughout the study. The significance level is represented as asterisks (*P < 0.05, **P < 0.01, ***P < 0.001; ns, not significant). All data are presented as the mean ± SEM. All raw data are presented as dot plots in each graph. The numbers of animals used are described in the corresponding figure legends or on each graph. Experimental groups were balanced in terms of animal age, sex, and weight. The sample size was determined based on the expected difference from our pilot studies using similar protocols in animals without carrying out a formal power analysis. At least three independent repeats were performed for each experiment. No outliers were excluded.


Inhibition of MAO-A, but not MAO-B, augments phasic DA release

To investigate the roles of MAO-A and MAO-B in the regulation of phasic and basal DA levels, we adopted a pharmacological approach utilizing potent and selective inhibitors against MAO-A (clorgiline) MAO-B (KDS201011 and selegiline). As previously defined38, the phasic DA level indicates the evoked synaptic dopamine concentration, while the basal DA level (or tonic DA level) indicates the steady-state level of extrasynaptic dopamine concentration, which is a combination of tonic DA neuronal activity and spontaneous phasic activity. We first tested whether the pharmacological inhibition of the two isoenzymes differentially affected the phasic release of striatal DA by performing in vivo FSCV with electrical stimulation of the MFB of a rat39. To monitor the DA current, typical triangular voltage waveforms with a scan rate of 400 V s−1 from −0.4 to 1.3 V and with a 10-Hz repetition rate32 were given through a carbon microfiber electrode implanted in the dorsal striatum (Fig. 1a, b). We first confirmed that the electrical stimulation of the MFB faithfully evoked an oxidation signal at approximately +0.6 V, which indicated the DA current (Fig. 1c). We also confirmed that vehicle injection did not significantly alter the evoked DA current (90.20 ± 7.89%) (Fig. 1c, f, g). We found that the intraperitoneal administration of clorgiline (10 mg kg−1; MAO-A inhibitor) significantly and gradually increased the peak current of the evoked DA release for 120 min (286.1 ± 12.52%), which indicated that MAO-A negatively regulates the peak current of phasic DA (Fig. 1d, f, g). On the other hand, KDS2010 treatment (10 mg kg−1; MAO-B inhibitor) did not alter the peak DA current (91.37 ± 7.28%) (Fig. 1e, f, g). Another MAO-B inhibitor, selegiline, showed a similar effect to KDS2010 (Supplementary Fig. 1a-c). These findings suggest that MAO-A, but not MAO-B, could be responsible for the degradation of intracellular DA, which is directly associated with the amount of DA released upon electrical stimulation.

Fig. 1: Evoked DA response monitored with FSCV in dorsal striatum show increment during MAO-A inhibition, while less change at MAO-B inhibition.
figure 1

a Schematic design of triangular waveform from fast cyclic voltammetry (FSCV). b Experimental schedule for FSCV recordings. ce The representative phasic dopamine changes in the striatum detected by FSCV in response to treatment with saline control, MAO-A inhibitor (clorgiline, 10 mg kg−1), and MAO-B inhibitor (KDS2010, 10 mg kg−1). Pseudo-color plots indicate the phasic dopamine responses before (left) and after 120 mins (middle) from drug administration. The time-series plot of each evoked DA response was extracted at the dopamine oxidation potential (right). The black line and red line show the concentration change before and after drug injection, respectively. f Time-dependent change in the peak DA current. g Quantification of estimated DA concentrations from peak DA current. MAO-A inhibition increased phasic DA level to 284%, while MAO-B inhibition did not (n = 6 mice for each group). h Summary bar graph of the decay time constant K calculated from the time-series plots at the oxidation voltage (0.6 V). Data represent mean ± SEM. *P < 0.05; ***P < 0.001; ns, non-significant by one-way ANOVA with Tukey’s multiple comparison test.

Next, to estimate the change in the rate of extracellular DA clearance upon treatment with MAO-A and MAO-B inhibitors, we analyzed the decay time constant K before and after 120 mins of drug treatment from the time-series plots obtained from the DA oxidation voltage (+0.6 V) (Fig. 1c–e). We found that MAO-A inhibition significantly increased the decay time constant K (36.67 ± 12.59%) compared to that of the control group (7.50 ± 9.20%), while MAO-B inhibition did not (Fig. 1h and Supplementary Fig. 2). These findings suggest that MAO-A inhibition, but not MAO-B inhibition, significantly retarded DA clearance from the extracellular space. Consistently, a previous report showed that DA clearance is mediated mostly by DA uptake through the DA transporter (DAT), which is expressed mainly by neighboring DAergic neurons but minimally by astrocytes in vivo40. Therefore, MAO-A inhibition is likely to hinder DA degradation, which might lead to a delay in extracellular DA uptake, whereas MAO-B is less likely to contribute to DA degradation. Another possibility is that the amount of DA released in clorgyline-treated animals may saturate DAT, thus widening the peak. These possibilities await future investigation.

To strengthen our observation that MAO-B is less likely to mediate DA degradation, we additionally performed ex vivo DA imaging using a recently developed genetically encoded DA sensor, GRABDA2m34. To express GRABDA2m in striatal neurons, we injected adeno-associated virus (AAV) expressing GRABDA2m under the human synapsin (hSyn) promoter (AAV-hSyn-GRABDA2m) into the striatum of a mouse (Fig. 2a). The DA responses were sensitively detected by a GRABDA2m sensor in acute tissue slices of the striatum (Fig. 2b). The amplitude of the electrical stimulation-evoked DA response was dependent on the intensity of the electrical stimulation (Fig. 2c). We chose a 40 μA stimulation intensity, which corresponded to the median effective intensity (EI50) for phasic DA release. While the DA signal was recorded, inhibitors against MAO-A or MAO-B were applied to the bath. Consistent with the findings from in vivo FSCV, MAO-A inhibition by 100 nM clorgiline gradually and significantly increased the DA peak amplitude (125.08 ± 5.67%), whereas MAO-B inhibition by 100 nM KDS2010 (100.39 ± 6.73%) or 100 nM selegiline (96.37 ± 1.45%) did not (Fig. 2d–g and Supplementary Fig. 1d–f). These findings underpin our conclusion that the inhibition of MAO-A, but not MAO-B, blocks DA degradation in the mouse striatum.

Fig. 2: MAO-A inhibitor, but not MAO-B inhibitor, increased phasic DA release in mouse striatum.
figure 2

a Representative image of GRABDA2m expression in mouse striatum. b Example DA trace from one ROI (magenta circle in a). Both spontaneous (red arrow) and evoked (blue arrow) are monitored by GRABDA2m. c Intensity-response curve of GRABDA2m in mouse striatum (n = 4, non-linear regression, EI50 = 44.98 pA). d Representative images of phasic DA release level in each condition: Control, MAO-A inhibitor (clorgiline, 100 nM), and MAO-B inhibitor (KDS2010, 100 nM). e Example DA trace from d. The dotted line indicates the level of phasic DA release before drug treatment. f Time-dependent changes in DA peak amplitudes before and during drug treatment (N = 7, 8, and 8). Phasic dopamine release is significantly increased by MAO-A inhibition (clogiline), but not by MAO-A inhibition (KDS2010). g Summary bar graph of DA peak amplitude 60 mins after the treatment of clorgiline and KDS2010 (N = 7, 8, and 8). Data represent mean ± SEM. *P < 0.05; **P < 0.01; ns, non-significant by repeated measures one-way ANOVA with Dunnett’s multiple comparisons test (f) or by one-way ANOVA with Tukey’s multiple comparison test (g).

Inhibition of MAO-A, but not MAO-B, elevates basal DA levels

In addition to the phasic DA level, we asked whether MAO-A, but not MAO-B, is involved in the maintenance of the basal DA level. Due to the unstable nature of the background currents inherent in the FSCV technique, we should subtract the background signals, which limit the measurement of changes in basal DA levels. Therefore, to measure basal DA levels in the striatum, we utilized in vivo M-CSWV techniques. This technique was recently developed and validated for measuring the changes in basal extracellular DA levels with more extended temporal resolution (10 s) than other basal level detection techniques reported in our previous study33. The M-CSWV consisted of a square-wave oscillation superimposed on a symmetric staircase waveform that was applied consecutively multiple times (Fig. 3a, b). The basal DA level, indicated by oxidation peaks seen in red in the region of interest marked with a circle in the range of 0.2 V to 0.45 V, was not altered by the intraperitoneal injection of saline for 120 mins (Fig. 3c). MAO-A inhibition by clorgiline (10 mg kg−1) caused a significant increase in the basal DA level after 120 min (147.29 ± 6.39%), whereas MAO-B inhibition by KDS2010 or selegiline (10 mg kg−1) did not (97.64 ± 2.91%) (Fig. 3d–g and Supplementary Fig. 1g–i, 3). The real-time change in basal DA could be observed with M-CSWV recordings, which are shown in the corresponding time-dependent graph (Fig. 3f). Only the clorgiline-injected group showed a significant overall increase in basal DA concentration during the 120-min recording compared with the saline-injected, KDS2010-injected, and even selegiline-injected groups (Fig. 3g and Supplementary Fig. 1g–i). These findings indicate that MAO-A inhibition elevates not only phasic DA release but also basal DA levels in the striatum. Taken together, the evidence shows that the inhibition of MAO-A hinders DA degradation, which affects the amount of phasic DA release, the rate of DA uptake, and the basal DA level, while the inhibition of MAO-B does not change DA levels in the striatum.

Fig. 3: Tonic DA level increased during MAO-A inhibition while MAO-B shows no change in dorsal striatum monitored with MCSWV.
figure 3

a Schematic design of a single cyclic square waveform (CSW) and multiple trains of 5 cyclic square wave voltammetry (M-CSWV) waveform. b Experimental schedule for tonic DA monitoring. ce The representative changes in tonic DA level monitored by M-CSWV in response to treatment with saline control, MAO-A inhibitor (clorgiline, 10 mg kg−1), and MAO-B inhibitor (KDS2010, 10 mg kg−1) (N = 7, 6, and 7). Representative pseudo-color plots demonstrate the tonic DA level in response to M-CSWV before (left) and after 120 mins (middle) from drug administration. The changes in tonic DA concentration changes were quantified (right). f Quantification of the time-dependent changes in tonic DA concentrations. g Summary bar graph of calculated tonic DA concentrations 120 mins after the treatment of clorgiline and KDS2010 (Same data from ce). Data represent mean ± SEM. **P < 0.01; ***P < 0.001; ns, non-significant by paired Student’s t-test (c–e) or one-way ANOVA with Tukey’s multiple comparison test (g).

MAO-B, but not MAO-A, accounts for tonic GABA current

We have demonstrated that the inhibition of MAO-B does not affect either phasic or basal DA levels in rodents, which is inconsistent with the traditional belief. Therefore, to explain why MAO-B inhibitors produce symptomatic relief in PD patients, we examined another physiological role of MAO-B. We recently demonstrated that striatal MAO-B is physiologically important for astrocytic GABA synthesis, which is the main cause of tonic inhibition of neighboring neurons27. However, whether MAO-A, in addition to MAO-B, participates in tonic inhibition in striatal neurons has not been rigorously tested. Therefore, we performed a whole-cell patch-clamp recording of striatal neurons to record a tonic inhibition current in the presence of MAO-A and MAO-B inhibitors in rats (Fig. 4a, b). We found that the bicuculline (a GABAA receptor antagonist)-sensitive tonic inhibition current of a striatal neuron was ~20 pA. While MAO-A inhibition by 100 nM clorgiline treatment did not affect the tonic current, MAO-B inhibition by 100 nM KDS2010 or selegiline treatment significantly reduced the tonic current by ~70% (Fig. 4c, d and Supplementary Fig. 1j–l). On the other hand, there was no significant difference in the amplitude and frequency of spontaneous inhibitory postsynaptic currents across the groups (Fig. 4c, e, f and Supplementary Fig. 1m, n), indicating that GABAergic synaptic transmission was not altered by either MAO-A or MAO-B inhibition. These findings indicate that only MAO-B, but not MAO-A, is critical for astrocytic GABA-mediated tonic inhibition and that neither MAO-A nor MAO-B participates in neuronal GABA-mediated phasic inhibition.

Fig. 4: MAO-B, but not MAO-A, is responsible for tonic GABA current in the striatum.
figure 4

a Representative image of whole-cell patch-clamp of a neuron in the dorsal striatum. b Timeline of whole-cell patch-clamp. c Representative traces of tonic GABA recording (left) and sIPSC currents. d Quantification of tonic GABA currents (N = 5 mice for each group). Tonic GABA current is significantly reduced by MAO-B inhibition (KDS2010), but not by MAO-A inhibition (clorgiline). e Quantification of sIPSC amplitudes. f Quantification of sIPSC frequency. Data represent mean ± SEM. **P < 0.01; ns, non-significant by Kruskal-Wallis test with Dunn’s multiple comparison test (d, e) or Brown-Forsythe and Welch ANOVA test with Dunnett’s multiple comparison test (f).


In this study, we demonstrated that MAO-A and MAO-B have differential roles in regulating phasic/tonic DA and tonic GABA levels, respectively. In vivo electrochemical monitoring of DA currents using FSCV and M-CSWV and ex vivo DA imaging using a GRABDA2m sensor revealed that the acute pharmacological inhibition of MAO-B by KDS2010 and selegiline did not affect either phasic or basal DA levels, which was inconsistent with the traditional belief. On the other hand, MAO-A inhibition by clorgiline significantly increased the levels of phasic and basal DA, which could be attributed to a blockade of DA metabolism. Moreover, ex vivo whole-cell patch-clamp experiments revealed that MAO-B plays an important role in astrocytic GABA-mediated tonic inhibition, whereas MAO-A does not. Taken together, our findings provide conclusive in vivo evidence for resolving the controversy on the role of MAO-B in DA metabolism, which has continued over several decades. (Fig. 5).

Fig. 5: Suggested roles of MAO-A and MAO-B in the striatum.
figure 5

a Schematic diagram of the effect of MAO-A inhibitor and MAO-B inhibitor in the striatum. MAO-A in neurons is responsible for DA degradation, whereas MAO-B in astrocytes has a role in GABA synthesis from putrescine. b MAO-A dependent dopamine degradation pathway in neurons. c MAO-B dependent GABA synthesis pathway in astrocytes.

The contribution of MAO to DA degradation was reported over six decades ago41. The development of specific inhibitors against MAO-A (clorgiline) and MAO-B (selegiline) in the 1960s made it possible to investigate which is the major enzyme for DA metabolism between the two isoenzymes. Through intense investigations on this issue in the 1970s13,14,15,16, both MAO-A and MAO-B were reported to be responsible for DA metabolism in the human brain, but the contributions varied among brain regions17. Moreover, several clinical studies have demonstrated that MAO-B inhibitors show efficacy in the treatment of DA-deficient states, such as PD42,43, which supports the idea that MAO-B is critically involved in DA degradation. However, direct evidence has been lacking. Human studies from postmortem brain homogenates have provided only indirect evidence.

On the other hand, several in vivo microdialysis and high-performance liquid chromatography (HPLC) studies in live rodents cast doubt on the previous belief in the 1990s that MAO-B was the key enzyme for DA degradation by demonstrating that the pharmacological inhibition of MAO-B minimally alters the basal DA concentration5,18,19,20,21,44. Although microdialysis and HPLC methods have advantages such as high chemical specificity45 and sensitivity46,47,48 for detecting DA, they have several critical drawbacks. First, the insertion of a microdialysis probe (~200–300 μm) can cause significant tissue damage49,50, leading to perturbation of the physiological neuronal function51,52. Second, it is difficult to study the mechanisms of fast synaptic release and the reuptake of DA with microdialysis, both of which critically affect the extracellular DA concentration53,54. These critical drawbacks have hindered widespread that MAO-B is less responsible for DA degradation, which is against the traditional belief. To overcome these drawbacks, we used two advanced electrochemical techniques, FSCV and M-CSWV, to investigate the phasic and tonic DA levels in the extracellular space, respectively. FSCV is a well-established electrochemical technique to measure the phasic changes of electroactive neurotransmitters, such as DA, by applying a fast potential scan (>10 Hz) into a carbon-fiber microelectrode (CFME)55,56. In addition, the diameter of a CFME is ~10 μm, which permits greater spatial resolution and less tissue damage57. M-CSWV is a recently developed voltammetric technique to measure tonic DA concentration by using cyclic square wave voltammetric waveforms in conjunction with a delayed holding potential period to control DA adsorption to the CFME surface. M-CSWV demonstrates high in vivo selectivity, high sensitivity (a detection limit of ~0.17 nM), and 10 s (0.1 Hz) temporal resolution33. These advantages of FSCV and M-CSWV allowed us to measure the exact phasic and tonic DA changes upon treatment with MAO-A and MAO-B inhibitors. In addition to these electrochemical approaches, our ex vivo DA imaging with a newly developed DA sensor, GRABDA2m, which yields a high spatiotemporal resolution, high specificity, and high sensitivity, demonstrated consistent results with the findings from FSCV experiments. Taken together, our consistent findings across the two different approaches provide strong evidence that MAO-A, but not MAO-B, is engaged in DA degradation.

Several previous studies have suggested that a possible mode of action of MAO-B inhibitors in PD patients involves the stabilization of mitochondria and the induction of the antiapoptotic Bcl-2 protein family and neurotrophic factors58,59,60. In addition, MAO-B inhibitors have been suggested to hinder DA metabolism in serotonergic neurons, specifically in the brains of PD patients, based on a previous study demonstrating that L-DOPA is mostly metabolized and released by serotonergic neurons that express MAO-B in the DA-depleted striatum61. In addition, we report another exclusive role of MAO-B in tonic GABA inhibition of striatal neurons, which is not mediated by MAO-A. We recently reported that MAO-B-mediated tonic GABA inhibition in the SNpc is critical for DA neuronal dysfunction and parkinsonian motor symptoms in various animal models of PD24. Our findings suggest that the therapeutic effect of MAO-B inhibitors could be attributed to blocking astrocytic GABA synthesis rather than to blocking DA degradation. These findings may further resolve the conflict between the minimal role of MAO-B in DA metabolism and the therapeutic effect of MAO-B inhibitors in PD.

In addition to DA, other transmitters such as epinephrine, norepinephrine, and serotonin could be metabolized by MAO in the brain. These transmitters are well documented to be mainly metabolized by MAO-A rather than MAO-B due to the substrate preference of the enzyme. Moreover, transporters for these transmitters are mainly expressed in neurons expressing MAO-A but not in astrocytes expressing MAO-B. Therefore, MAO-A, not MAO-B, might be responsible for degrading other catecholamines regardless of the brain region.

How should we resolve the discrepancy between the results from in vitro and in vivo studies regarding MAO-B? Several in vitro studies demonstrated that MAO-B also utilizes DA as a substrate in both rats (Km = ~340 μM)62 and humans (Km = ~210–230 μM)17. Why is MAO-B not involved in DA degradation in the striatum in vivo even though MAO-B is capable of DA degradation in vitro? Because the level of DAT expression in striatal astrocytes is very low, the released DA is minimally taken up by astrocytes, in which MAO-B is mainly expressed under physiological conditions23. On the other hand, DA neurons, in which MAO-A is mainly expressed, are predominantly responsible for the reuptake of synaptically released DA through DAT in the dorsal striatum40,63. In addition to the striatum, DAT is expressed mainly in neurons but not in astrocytes in most brain regions, including the substantia nigra, nucleus accumbens, and cortical areas63,64,65. Therefore, regardless of the ability of MAO-B to metabolize DA, the amount of astrocytic MAO-B-mediated DA degradation is negligible in various regions, including the striatum, in the healthy brain.

In conclusion, our findings demonstrate that MAO-A, but not MAO-B, is mainly responsible for regulating the phasic and tonic DA levels in the striatum by mediating DA degradation. MAO-B, but not MAO-A, is mainly responsible for the tonic inhibition of striatal neurons by mediating astrocytic GABA synthesis. Our results are important to differentiate the obscure roles of MAO-A and MAO-B in DA metabolism and GABA synthesis. Our study re-establishes the roles of MAO-A and MAO-B under physiological conditions: MAO-A in DA degradation and MAO-B in tonic GABA synthesis.