The calcium-binding protein calbindin-D28K, or calb1, is expressed at higher levels by dopamine (DA) neurons originating in the ventral tegmental area (VTA) than in the adjacent substantia nigra pars compacta (SNc). Calb1 has received attention for a potential role in neuroprotection in Parkinson's disease. The underlying physiological roles for calb1 are incompletely understood. We used cre-loxP technology to knock down calb1 in mouse DA neurons to test whether calb1 governs axonal release of DA in the striatum, detected using fast-scan cyclic voltammetry ex vivo. In the ventral but not dorsal striatum, calb1 knockdown elevated DA release and modified the spatiotemporal coupling of Ca2+ entry to DA release. Furthermore, calb1 knockdown enhanced DA uptake but attenuated the impact of DA transporter (DAT) inhibition by cocaine on underlying DA release. These data reveal that calb1 acts through a range of mechanisms underpinning both DA release and uptake to limit DA transmission in the ventral but not dorsal striatum.
The calcium-binding protein calbindin-D28K, or calb1, is expressed at higher levels by dopamine (DA) neurons originating in the ventral tegmental area (VTA) than in the adjacent substantia nigra pars compacta (SNc). Calb1 has received attention for a potential role in neuroprotection in Parkinson's disease. The underlying physiological roles for calb1 are incompletely understood. We used cre-loxP technology to knock down calb1 in mouseDA neurons to test whether calb1 governs axonal release of DA in the striatum, detected using fast-scan cyclic voltammetry ex vivo. In the ventral but not dorsal striatum, calb1 knockdown elevated DA release and modified the spatiotemporal coupling of Ca2+ entry to DA release. Furthermore, calb1 knockdown enhanced DA uptake but attenuated the impact of DA transporter (DAT) inhibition by cocaine on underlying DA release. These data reveal that calb1 acts through a range of mechanisms underpinning both DA release and uptake to limit DA transmission in the ventral but not dorsal striatum.
The substantia
nigra pars compacta
(SNc) and ventral tegmental area (VTA) comprise a contiguous but molecularly
heterogeneous collection of dopaminergic neurons that innervate the
striatum in a topographic pattern, innervating predominantly the dorsal
and ventral striatum, respectively.[1,2] These DA neurons
show heterogeneity in their expression levels of mRNA or protein for
a diverse range of molecules that include D2 receptors, DA transporter
(DAT), and calcium-binding protein calbindin-D28k (calb1).[1,3−7] Calb1 is expressed in VTA DA neurons at ∼2–3-fold
higher levels than in SNc[3,5,7,8] and is a fast, high affinity,
and mobile buffer.[9−11] The function of calb1 in DA neurons has not been
well-defined, but calb1 has been of long-standing interest as a marker
of preserved DA neurons in Parkinson’s disease.[12,13]In other neuron types, calb1 impacts on Ca2+-dependent
transmitter release, affects voltage-gated Ca2+ channels
(VGCCs),[14,15] and regulates spatial segregation of Ca2+ signals by acting as both a Ca2+ sink and a source
on unbinding or saturation.[16−18] Calb1 has been reported to limit
Ca2+-dependent release probability of vesicles in cultured
dissociated rat VTA-enriched DA neurons.[19] Mature DA axons in situ show heterogeneity in the Ca2+- and VGCC-dependence of DA transmission between the dorsal striatum
(dorsal caudate-putamen, CPu) and ventral striatum (nucleus accumbens,
NAc).[20] There is also a difference between
regions in the spatiotemporal coupling between Ca2+ entry
and DA release with evidence suggesting that an additional fast buffer
appears to regulate this coupling in NAc.[20] Since calb1 is expressed at higher levels by DA neurons that innervate
NAc than those that innervate CPu, calb1 function might be a key contributor
to this divergent Ca2+-dependence.Here, we utilized
a cre-loxP approach to knock down calb1 from
DA neurons selectively to address whether calb1 regulates axonal DA
release in dorsal or ventral striatum, and whether it impacts on different
Ca2+-dependence and spatiotemporal coupling. We also explored
the additional impact of calb1 on how the DAT can gate DA uptake and
release.
Results and Discussion
Targeted knockdown of calbindin-D28k
(calb1) in DA neurons was
achieved by crossing homozygous floxed Calbmice[21] with homozygous Slc6a3J (DAT-Cre) mice,[22] creating
double heterozygous mice (named CalbKD) (Supporting Information Figure S1). Heterozygous DAT-Cre mice with wild-type
calb1 levels were also generated and named CalbWT to reflect the preserved
Calb gene and to indicate the main point of divergence in our two
key mice genotypes. A heterozygous DAT-Cre background was common to
CalbKD and CalbWT mice throughout. DAT-Cre mice (CalbWT) were used
as controls since there are ∼17% lower levels of DAT in heterozygous
DAT-Cre compared to true wild-type mice[22] and consequently slightly prolonged time courses for uptake for DA
transients, although there is no net change in peak extracellular
concentration of DA ([DA]o) detected in our data set (Figure S2). In CalbKD mice, calb1-immunoreactivity
was decreased in tyrosine hydroxylase (TH)-positive neurons within
the midbrain, particularly within VTA (Figure A). CalbKD showed no gross behavioral phenotype
on inspection in the home cage, but became ∼10% heavier than
CalbWT mice in adulthood (Figure B).
Figure 1
Calb1 knockdown leads to elevated [DA]oin NAc
but not
CPu. (A) Fluorescence images of midbrain showing immunoreactivity
to calb1 (green), TH-positive (red), and merged (yellow). Left: Note
DA cells lacking calb1 in ventral SNc, and TH- and calb1-positive
cells in lateral VTA in CalbWT (upper) and to a lesser degree in CalbKD
(lower); scale bar 100 μm. Right: Note decreased calb1 fluorescence
in TH-positive neurons in medial VTA of CalbKD relative to CalbWT
mice. (B) Mean mouse weight ± SEM vs age. Two-way ANOVA, age
× genotype interaction, F3,40 = 1.4, P = 0.26; effect of genotype: F1,40 = 16.2, P = 0.0002, n = 5 male mice per genotype tracked
from 6 to 16 weeks, n = 11 male mice at time point
of culling in weeks 22–36. (C) Mean [DA]o ±
SEM (shaded) vs time evoked by single pulses (arrow) in CPu (purple)
and NAc (blue) in CalbWT (left) and CalbKD (right). (D) Peak [DA]o ± SEM in CPu (circles) and NAc (squares) and mean [DA]o ± SEM (black lines) for CalbWT (filled) and CalbKD (unfilled).
Two-way ANOVA region × genotype, interaction F1,52 = 5.0, P = 0.03; region: F1,52 = 13.5, P = 0.001; genotype, F1,52 = 5.11, P = 0.03; NAc, Sidak’s posthoc t test, t52 = 3.18, P < 0.05; CPu,
Sidak’s posthoc t test, t52 = 0.02, P > 0.05 n = 14 sites from 5 pairs of mice. (E) DA content (pmol/mm3) measured by HPLC-ECD from CPu (circles) and NAc (squares) of CalbWT
(filled) and CalbKD (unfilled), and mean data ± SEM (black lines).
Two-way ANOVA, genotype effect: F1,20 = 0.02, P = 0.88, n = 6 samples, 3 pairs of mice. FCV data
were collected in the presence of nAChR blockade (DHβE 1 μM).
*P < 0.05, **P < 0.01, ***P < 0.001.
Calb1 knockdown leads to elevated [DA]oin NAc
but not
CPu. (A) Fluorescence images of midbrain showing immunoreactivity
to calb1 (green), TH-positive (red), and merged (yellow). Left: Note
DA cells lacking calb1 in ventral SNc, and TH- and calb1-positive
cells in lateral VTA in CalbWT (upper) and to a lesser degree in CalbKD
(lower); scale bar 100 μm. Right: Note decreased calb1 fluorescence
in TH-positive neurons in medial VTA of CalbKD relative to CalbWT
mice. (B) Mean mouse weight ± SEM vs age. Two-way ANOVA, age
× genotype interaction, F3,40 = 1.4, P = 0.26; effect of genotype: F1,40 = 16.2, P = 0.0002, n = 5 male mice per genotype tracked
from 6 to 16 weeks, n = 11 male mice at time point
of culling in weeks 22–36. (C) Mean [DA]o ±
SEM (shaded) vs time evoked by single pulses (arrow) in CPu (purple)
and NAc (blue) in CalbWT (left) and CalbKD (right). (D) Peak [DA]o ± SEM in CPu (circles) and NAc (squares) and mean [DA]o ± SEM (black lines) for CalbWT (filled) and CalbKD (unfilled).
Two-way ANOVA region × genotype, interaction F1,52 = 5.0, P = 0.03; region: F1,52 = 13.5, P = 0.001; genotype, F1,52 = 5.11, P = 0.03; NAc, Sidak’s posthoc t test, t52 = 3.18, P < 0.05; CPu,
Sidak’s posthoc t test, t52 = 0.02, P > 0.05 n = 14 sites from 5 pairs of mice. (E) DA content (pmol/mm3) measured by HPLC-ECD from CPu (circles) and NAc (squares) of CalbWT
(filled) and CalbKD (unfilled), and mean data ± SEM (black lines).
Two-way ANOVA, genotype effect: F1,20 = 0.02, P = 0.88, n = 6 samples, 3 pairs of mice. FCV data
were collected in the presence of nAChR blockade (DHβE 1 μM).
*P < 0.05, **P < 0.01, ***P < 0.001.We assessed whether knockdown
of calb1 in DA neurons modified DA
release in NAc and CPu in ex vivo striatal slices.
Single pulses of electrical stimulation results in dual DA release
events separated by just a few milliseconds, the first event arising
from direct depolarization of dopaminergic axons, and a second from
activation of nAChRs on DA axons by ACh released from cholinergic
interneurons.[23] This artificially concurrent
activation of nAChRs has very dominant effects on the short-term dynamics
and characteristics of DA release.[24,25] To probe the
roles of calb1 in DA axons without confounding effects of co-activation
of cholinergic interneurons, we inhibited nAChRs in this study using
antagonist DHβE (1 μM). Peak [DA]o evoked
by single electrical stimulus pulses (in the presence of DHβE)
in NAc of CalbKD mice were approximately double those seen in CalbWT
controls, but were not modified in CPu (Figure C,D), indicating that calb1 limits DA release
in NAc but not CPu. For reference, we also found that peak [DA]o was greater in NAc of CalbKD relative to CalbWT mice in drug-free
conditions when nAChRs are active (Figure S3), but nonetheless DHβE was used for all other experiments
reported here. We did not find any difference in DA content between
genotypes in NAc, or CPu (Figure E), indicating that, in NAc, calb1 affects DA release
but not storage. This ability of calb1 to strongly limit DA release
in NAc is consistent with the ability of calb1 to rapidly bind Ca2+ and with previously published data in VTA-enriched cultured
neurons.[19]We tested whether calb1
knockdown modified the Ca2+-dependence
of DA release. In CPu, consistent with the lack of effect of calb1
knockdown on evoked [DA]o, there was no difference in the
relationship between [Ca2+]o (range 0.6–4.8
mM) and evoked [DA]o in CalbKD vs CalbWT mice (Figure A). However, in NAc,
evoked [DA]o was significantly greater at all [Ca2+]o (Figure B) but with no change in apparent cooperativity (Hill slope: CalbKD
2.9 vs CalbWT 2.5 P = 0.84). [DA]o in
CalbKD was consistently ∼1.5-fold that seen in CalbWT across
the range of [Ca2+]o used (Figure C). Thus, calb1 in DA axons
in NAc appears to function to reduce net intracellular [Ca2+]. The relationship between stimulation frequency and DA release
(either in the presence or absence of nAChR-blockade) was not modified
by calb1 knockdown (Figure S4) consistent
with the weak impact of [Ca2+]o on the frequency
response for DA release.[26] The impact of
D2 autoreceptor activation on DA release was also not modified
(Figure S5).
Figure 2
Modified relationship
between Ca2+and [DA]o in NAc after calb1 knockdown.
(A,B) Variable slope sigmoidal curve
fit of log–log transformed data of mean peak [DA]o ± SEM evoked by 1p versus [Ca2+]o in
CPu: (A) one curve fits both genotypes, F4,32 = 0.04, P = 0.99, n =. 4 Hill slope: 3.4. R2 CPu: 0.81. NAc: (B) curves significantly different
between genotypes, F4,24 = 6.2, P = 0.0014. R2 NAc 0.93 (calbWT) and 0.82 (calbKD). No change
in Hill slope: CalbKD 2.9 vs CalbWT 2.5,F1,24 = 0.4 P = 0.84, n = 4 experiments/animals. CalbWT
(filled) and CalbKD (unfilled). (C) Peak evoked [DA]o in
CalbKD expressed normalized to value in CalbWT at each [Ca2+]o used, linear regression not different from zero slope, P = 0.83. N = 4 pairs of animals. (D,G)
Peak [DA]o (% of control) ± SEM in the presence of
BAPTA-AM (100 μM) (red) or EGTA-AM (100 μM) (blue) in
CPu (D) or NAC (G). In CPu: two-way ANOVA: genotype × chelator
interaction, F1,51 = 1 × 10–4, P = 0.99; genotype effect, F1,51 = 1.60, P = 0.21. In NAc: two-way ANOVA: genotype × chelator
interaction, F1,48 = 18.9, P < 0.0001.
(F) Ratio of DA release in BAPTA-AM:EGTA-AM (±SEM) in CPu and
NAc in CalbWT (filled) and CalbKD (unfilled). Two-way ANOVA: genotype
× region interaction, F1,50 = 9.2, P = 0.004. (E,H) [DA]o ± SEM (shaded) vs time in response
to single pulses (1p, arrow) in CalbWT (left) and CalbKD (right) in
control conditions (black) and BAPTA-AM (red) or EGTA-AM (blue) conditions,
in CPu(E) and NAc (H). DHβE (1 μM) present throughout.
*P < 0.05, **P < 0.01, ***P < 0.001 Sidak’s post-test following two-way
ANOVA. N = 4 pairs of animals, 14 sites/genotype/region.
Modified relationship
between Ca2+and [DA]o in NAc after calb1 knockdown.
(A,B) Variable slope sigmoidal curve
fit of log–log transformed data of mean peak [DA]o ± SEM evoked by 1p versus [Ca2+]o in
CPu: (A) one curve fits both genotypes, F4,32 = 0.04, P = 0.99, n =. 4 Hill slope: 3.4. R2 CPu: 0.81. NAc: (B) curves significantly different
between genotypes, F4,24 = 6.2, P = 0.0014. R2 NAc 0.93 (calbWT) and 0.82 (calbKD). No change
in Hill slope: CalbKD 2.9 vs CalbWT 2.5,F1,24 = 0.4 P = 0.84, n = 4 experiments/animals. CalbWT
(filled) and CalbKD (unfilled). (C) Peak evoked [DA]o in
CalbKD expressed normalized to value in CalbWT at each [Ca2+]o used, linear regression not different from zero slope, P = 0.83. N = 4 pairs of animals. (D,G)
Peak [DA]o (% of control) ± SEM in the presence of
BAPTA-AM (100 μM) (red) or EGTA-AM (100 μM) (blue) in
CPu (D) or NAC (G). In CPu: two-way ANOVA: genotype × chelator
interaction, F1,51 = 1 × 10–4, P = 0.99; genotype effect, F1,51 = 1.60, P = 0.21. In NAc: two-way ANOVA: genotype × chelator
interaction, F1,48 = 18.9, P < 0.0001.
(F) Ratio of DA release in BAPTA-AM:EGTA-AM (±SEM) in CPu and
NAc in CalbWT (filled) and CalbKD (unfilled). Two-way ANOVA: genotype
× region interaction, F1,50 = 9.2, P = 0.004. (E,H) [DA]o ± SEM (shaded) vs time in response
to single pulses (1p, arrow) in CalbWT (left) and CalbKD (right) in
control conditions (black) and BAPTA-AM (red) or EGTA-AM (blue) conditions,
in CPu(E) and NAc (H). DHβE (1 μM) present throughout.
*P < 0.05, **P < 0.01, ***P < 0.001 Sidak’s post-test following two-way
ANOVA. N = 4 pairs of animals, 14 sites/genotype/region.Calb1 in other neuron types can bind Ca2+ to restrict
its availability, but it can also be a source of Ca2+ upon
unloading or saturation, generating zones of enhanced Ca2+ availability.[17,27] Calb1 might therefore affect
the spatiotemporal availability of Ca2+ in an interrelated
manner, through which changing the temporal availability of Ca2+ can cause spatial diffusion distance to be modified.[11] To explore the impact of calb1 on the spatiotemporal
coupling of Ca2+ to DA release, we used the intracellular
exogenous Ca2+ chelators EGTA-AM and BAPTA-AM that, through
slow and fast kinetics, respectively, reflect whether coupling is
relatively slow/loose or fast/tight. We have previously shown that,
in CPu, Ca2+ entry in wild-type mice is relatively loosely
coupled to DA release, following significant effects of EGTA-AM and
BAPTA-AM.[20] n CPu in CalbWT and CalbKD
mice, we find that EGTA-AM and BAPTA-AM decreased evoked [DA]o to, respectively, 60–70% and 20–30% of control
conditions in both genotypes (Figure D–F), indicating that calb1 does not govern
spatiotemporal coupling of Ca2+ to DA release in CPu. In
NAc, we have previously shown in wild-type mice that EGTA-AM paradoxically
decreases DA release to a greater extent than BAPTA-AM.[20] One candidate explanation is that BAPTA-AM is
potentially facilitating DA release, for example, by limiting a fast
source of Ca2+ that is negatively coupled to DA release.
In NAc of CalbWT mice, as in wild-type mice, we find that EGTA-AM
decreased evoked [DA]o to ∼30% of control conditions
whereas BAPTA-AM decreased evoked [DA]o to ∼60%
of control. Conversely, in CalbKD mice, EGTA-AM and BAPTA-AM decreased
evoked [DA]o to, respectively, ∼70% and ∼30%
of control (Figure F–H). The ratio of effects of BAPTA vs EGTA on DA release
are therefore inverted in CalbKD vs CalbWT in NAc (Figure F). These data indicate that
calb1 participates in the spatiotemporal coupling of Ca2+ entry to DA release in NAc, and support a hypothesis that calb1
provides a fast inhibitory source of Ca2+ that limits DA
release in NAc.[20]The DA transporter
(DAT) plays a variety of roles in governing
DA transmission. In addition to removing extracellular DA by uptake
and regulating extracellular summation, DATs also limit underlying
DA release via apparently inhibiting mobilization of the vesicle pool
in a manner that is limited or offset by Ca2+. In other
neurons, Ca2+ regulates levels of release and the relationship
to short-term plasticity[28,29] and also maintains
pools of readily releasable vesicles.[30−33] At striatal release sites for
DA, DATs also appear to contribute to these processes, limiting initial
release levels, short-term plasticity, and availability of DA vesicles
for release in a Ca2+ dependent manner.[26,34−37] DAT inhibitors such as cocaine not only prolong the extracellular
lifetime of DA but also promote DA release when [Ca2+]o is low.[34,35] It has been proposed that these
actions of DAT inhibitors on uptake and vesicle mobilization are dissociable
and reflect distinct functions of DATs.[26,36] Given the
apparent role for calb1 in determining intracellular Ca2+ availability in NAc, we hypothesized that calb1 knockdown might
modify the ability of DATs to limit underlying release.We first
examined whether there were changes to DA uptake kinetics
via the DAT. In CPu, the falling phases of extracellular DA transients
were similar between CalbKD and CalbWT mice (Figure A), but in NAc, DA transients
decayed at a faster rate in CalbKD than in CalbWT mice (k = 2.6 ± 0.04 vs 1.7 ± 0.05 s–1, exponential approximations) with a correspondingly shorter mean
half-life (0.31 vs 0.40 s) (Figure B). For NAc, we constructed Michaelis–Menten-type
plots of maximum decay rate for each transient versus [DA]o at that rate and found a higher Vmax and apparent Km in CalbKD compared to
CalbWT (Figure C,
CalbWT: Vmax 3.9 ± 0.46 μM
s–1, Km 2.0 ± 0.4
μM, R2 = 0.88; CalbKD: Vmax 7.1 ± 1.2 μM s–1, Km 4.2 ± 1.1 μM, R2 = 0.77). These data indicate enhanced DA uptake rates in the NAc
of CalbKD relative to CalbWT mice, suggesting that calb1 limits DA
uptake via DATs. Differences in DA uptake rates have previously been
reported between CPu and NAc, and are assumed to be due to greater
DAT levels in CPu than NAc.[38] However,
our data show that calb1 appears to limit the DA uptake rate in NAc,
which could also contribute to the lower rates seen in ventral vs
dorsal striatum. The elevated Km seen
in CalbKD mice also suggests that calb1 modifies how DATs bind DA.
The mechanism responsible is not defined but might include an increase
in monomeric/oligomeric ratio which impacts on Km and Vmax.[39,40] High DA concentrations have been shown to dissociate DAT oligomers,[41] which is an important mechanism in developing
tolerance in cocaine addiction.[42]
Figure 3
Calb1 knockdown
modifies DA uptake kinetics and DAT regulation
of DA release in NAc. (A,B) One-phase exponential decay curve fits
(±95% confidence intervals, shaded) for falling phases of mean
[DA]o transients versus time that were concentration-matched,
evoked by single pulses in CalbWT (dark blue) and CalbKD (light blue)
in CPu (A) and NAc (B). CPu, comparison of k, F1,422 = 0.1, P = 0.76. NAc, comparison
of k, F1,350 = 64.9, P < 0.0001, n = 9 from 3 mice. Dashed lines show t1/2. Insets show typical full [DA]o profiles and indicate points in NAc of sampling decay rates shown
in C. (C) Maximum decay rates seen for each transient versus [DA]o at that rate for CalbWT (dark blue) and CalbKD (light blue).
Unconstrained Michaelis–Menten curve fits (solid lines), Vmax and Km are indicated
in dashed horizontal and vertical lines respectively ± SEM (shaded).
Comparison of fits, P = 0.0032, n = 73 transients per genotype. (D,G) [DA]o ± SEM
(shaded) vs time in response to single pulses (1p, arrow) in CalbWT
(left) and CalbKD (right) in control conditions (black), and cocaine
(5 μM, red), in CPu (D) and NAc (G) of CalbWT and CalbKD mice.
Data are normalized to predrug controls conditions, scale bar indicates
50% of control. (E,H) Area under the curve (AUC) ± SEM of DA
transients seen in control (black) and cocaine (red) in CalbWT (filled)
and CalbKD (unfilled) for CPu (E) of NAc (H). CPu: Two-way ANOVA:
no drug × genotype interaction, F1,8 = 0.04, P = 0.84; effect of genotype F1,8 = 7 ×
10–6, P = 1.0. NAc: Two-way ANOVA:
drug × genotype interaction, F1,8 = 13.3, P = 0.007; effect of genotype F1,8 = 10.7, P = 0.01. (F) Peak evoked [DA]o ± SEM in
the presence of cocaine expressed as % of control conditions. Two-way
ANOVA: genotype × region interaction, F1,8 = 9.1, P = 0.017; Sidak’s post-test: CalbWT vs CalbKD, CPU, t8 = 0.56, P > 0.05, NAc, t8 = 3.7, P < 0.05. (I) Peak
evoked [DA]o (μM) paired before and after cocaine
± SEM for individual experiments in CPu and NAc of CalbWT and
CalbKD. Two-way ANOVA with repeated measures: cocaine × genotype
interaction, F1,4 = 124.6, P = 0.0004,
Sidak’s post-tests: control vs cocaine, CalbWT, t4 = 18.8, P < 0.001, CalbKD, t4 = 3.0, P > 0.05, n = 3 experiments, 3 animals. (J,K) Paired-pulse ratios
(PPR) for [DA]o detected in response to a second pulse
expressed as a fraction of [DA]o detected by a single pulse,
versus interpulse interval (IPI) in NAc in control conditions (black)
and in cocaine (red) for CalbWT (J) and CalbKD (K). In CalbWT: Two-way
ANOVA effect of cocaine: F1,20 = 25.0, P < 0.0001. In CalbKD: F1,20 = 0.05, P = 0.82, n = 3 sites from 3 animals. DHβE
(1 μM) present throughout. *P < 0.05, **P < 0.01, ***P < 0.001, main effect
of drug or Sidak’s post-tests following two-way ANOVA.
Calb1 knockdown
modifies DA uptake kinetics and DAT regulation
of DA release in NAc. (A,B) One-phase exponential decay curve fits
(±95% confidence intervals, shaded) for falling phases of mean
[DA]o transients versus time that were concentration-matched,
evoked by single pulses in CalbWT (dark blue) and CalbKD (light blue)
in CPu (A) and NAc (B). CPu, comparison of k, F1,422 = 0.1, P = 0.76. NAc, comparison
of k, F1,350 = 64.9, P < 0.0001, n = 9 from 3 mice. Dashed lines show t1/2. Insets show typical full [DA]o profiles and indicate points in NAc of sampling decay rates shown
in C. (C) Maximum decay rates seen for each transient versus [DA]o at that rate for CalbWT (dark blue) and CalbKD (light blue).
Unconstrained Michaelis–Menten curve fits (solid lines), Vmax and Km are indicated
in dashed horizontal and vertical lines respectively ± SEM (shaded).
Comparison of fits, P = 0.0032, n = 73 transients per genotype. (D,G) [DA]o ± SEM
(shaded) vs time in response to single pulses (1p, arrow) in CalbWT
(left) and CalbKD (right) in control conditions (black), and cocaine
(5 μM, red), in CPu (D) and NAc (G) of CalbWT and CalbKD mice.
Data are normalized to predrug controls conditions, scale bar indicates
50% of control. (E,H) Area under the curve (AUC) ± SEM of DA
transients seen in control (black) and cocaine (red) in CalbWT (filled)
and CalbKD (unfilled) for CPu (E) of NAc (H). CPu: Two-way ANOVA:
no drug × genotype interaction, F1,8 = 0.04, P = 0.84; effect of genotype F1,8 = 7 ×
10–6, P = 1.0. NAc: Two-way ANOVA:
drug × genotype interaction, F1,8 = 13.3, P = 0.007; effect of genotype F1,8 = 10.7, P = 0.01. (F) Peak evoked [DA]o ± SEM in
the presence of cocaine expressed as % of control conditions. Two-way
ANOVA: genotype × region interaction, F1,8 = 9.1, P = 0.017; Sidak’s post-test: CalbWT vs CalbKD, CPU, t8 = 0.56, P > 0.05, NAc, t8 = 3.7, P < 0.05. (I) Peak
evoked [DA]o (μM) paired before and after cocaine
± SEM for individual experiments in CPu and NAc of CalbWT and
CalbKD. Two-way ANOVA with repeated measures: cocaine × genotype
interaction, F1,4 = 124.6, P = 0.0004,
Sidak’s post-tests: control vs cocaine, CalbWT, t4 = 18.8, P < 0.001, CalbKD, t4 = 3.0, P > 0.05, n = 3 experiments, 3 animals. (J,K) Paired-pulse ratios
(PPR) for [DA]o detected in response to a second pulse
expressed as a fraction of [DA]o detected by a single pulse,
versus interpulse interval (IPI) in NAc in control conditions (black)
and in cocaine (red) for CalbWT (J) and CalbKD (K). In CalbWT: Two-way
ANOVA effect of cocaine: F1,20 = 25.0, P < 0.0001. In CalbKD: F1,20 = 0.05, P = 0.82, n = 3 sites from 3 animals. DHβE
(1 μM) present throughout. *P < 0.05, **P < 0.01, ***P < 0.001, main effect
of drug or Sidak’s post-tests following two-way ANOVA.We then tested whether calb1 knockdown modified
how DATs regulate
underlying DA release, by exploring the impact of DAT inhibition by
cocaine (5 μM) on peak [DA]o evoked by single pulses.
We were mindful of two potentially opposing outcomes. On the one hand,
because DAT inhibitors potentiate peak [DA]o to the greatest
extent in lower [Ca2+]o conditions,[35] we hypothesized that the hyper-[Ca2+] condition resulting from calb1 knockdown might lead to a reduced
effect of DAT inhibition on peak [DA]o. However, on the
other hand, since DA uptake rates are greater in NAc of CalbKD mice,
a DAT inhibitor might conversely have an enhanced effect on peak [DA]o. In CPu, cocaine profoundly extended the decay phases and
areas under the curve of [DA]o transients (Figure D–F) and increased peak
[DA]o compared to drug-free controls to the same extent
in both genotypes (Figure F). In NAc, however, cocaine profoundly extended the decay
phases and areas under the curve of [DA]o transients in
both genotypes (Figure G,H) but only increased peak [DA]o in CalbWT and not CalbKD
(Figure F,G,I). This
attenuated effect of cocaine on peak [DA]o in CalbKD vs
CalbWT mice was seen across a range of cocaine concentrations (0.5–5
μM) (Figure S6). The range of [DA]o seen in controls in these data sets were similar in both
genotypes (Figure I) to account for cocaine being a competitive antagonist. The attenuated
ability of cocaine to increase peak [DA]o in NAc suggests
that either the pool of vesicles that cocaine mobilizes has already
been mobilized for release by calb1 knockdown, or that calb1 is required
for DAT to inhibit mobilization of the release pool. Consistent with
an interaction between how calb1 and DATs limit DA release, we also
found an impact of calb1 knockdown on how DATs govern short-term plasticity
of DA release. In NAc from CalbWT mice, cocaine reduced paired-pulse
ratios (PPRs) of DA release for short interpulse intervals as seen
in WT mice[26] (Figure J), consistent with an elevation in the initial
release of DA from the releasable pool after DAT inhibition. However,
in CalbKD mice, cocaine did not modify PPRs (Figure K). Therefore, calb1 in NAc appears overall
to help limit DA uptake via DATs, but also to support the DAT in limiting
release of the vesicle pool.In summary, we have identified
that calb1 in NAc limits DA release
through a range of mechanisms that include reducing intracellular
Ca2+ availability, limiting the Ca2+-dependent
releasability of the vesicle pool, and promoting how DATs limit releasability
of the vesicle pool. Our findings raise speculations relating to the
long-known sparing of calb1-expressing VTA DA neurons in Parkinson’s
disease. Since our data indicate that calbKD mice have a hyper-Ca2+ phenotype, they support the hypothesis that calb1 helps
to protect VTA DA neurons by buffering intracellular Ca2+, which is likely to be protective against many of the molecular
insults that contribute to parkinsonian degeneration.[43] Furthermore, the effects of calb1 on apparent DAT function
could also have profound implications for PD pathology. By limiting
DAT function in VTA neurons, calb1 may minimize cytosolic DA concentrations
and, in turn, the formation of toxic DA metabolites.[44] Thus, neuroprotection conferred on DA neurons by calb1
might arise from both a buffering of Ca2+-induced metabolic
burden and also from a lowering of DAT function. Intriguingly, although
calb1 has long been considered likely to exert neuroprotective effects,
experiments to validate have yielded mixed outcomes.[45,46] Our data raise a cautionary note for experiments exploring
neuroprotection by calb1 where toxins used to model PD are DAT substrates for
example, 6-OHDA and MPTP: experimentally induced changes to calb1
levels will be mirrored by changes to DAT function that may modify
the accumulation or efficacy of DAT-dependent toxins. The resolution
of whether calb1 itself is neuroprotective may therefore require
investigations using DAT-independent models of PD.
Methods
Mice and Tissue Preparation
Homozygous
CalbTM2 were generated from a heterozygous CalbTM2 breeding pair
generously donated by Prof. Meyer[21] (University
of Munich) (available from Jax, ID 031936 and EMMA: name B6.(R1)-Calb1tm2Mpin)
(Figure S1) and crossed with homozygous
DATIREScre (Jax, ID 006660),[22] generating double heterozygous offspring with decreased calb1 expression
in DAT-expressing cells. We chose to make heterozygous knockdown rather
than homozygote deletion to minimize potential confounding adaptations
that might accompany deletion of a Ca2+ buffer. Mice were
genotyped using a PCR protocol: annealing temperature 51 °C,
34 cycles, forward primer sequence TGA CTG CCT ACC CAT CAT CC, reverse
primer sequence CCT GAG CAC CGA TTA ATC AGC. For controls with wild-type
levels of calb1 (CalbWT), we used age- and sex-matched heterozygous
DATIRES mice to control for the impact
of the DAT-Cre. Male and female mice were used throughout this study.
Mice were killed by cervical dislocation, the brains were removed,
and 300 μm coronal striatal slicewere s prepared in ice-cold
HEPES-based buffer saturated with 95% O2/5% CO2, containing in mM: 120 NaCl, 20 NaHCO3, 6.7 HEPES acid,
5 KCl, 3.3 HEPES salt, 2 CaCl2, 2 MgSO4, 1.2
KH2PO4, 10 glucose, as described previously.[20] Slices were incubated at room temperature for
≥1 h in HEPES-based buffer before experiments. All procedures
were licensed to be carried out at the University of Oxford under
the UK Animals (Scientific Procedures) Act 1986.
Fast-Scan Cyclic
Voltammetry
Extracellular concentrations
of DA ([DA]o) evoked by local electrical stimuli were monitored
from ex vivo acute coronal slices using fast-scan
cyclic voltammetry (FCV) at carbon-fiber microelectrodes. Slices were
superfused in a recording chamber with bicarbonate-buffered artificial
cerebrospinal fluid (aCSF) saturated with 95%O2/5%CO2 at 31–33 °C, containing in mM: 124 NaCl, 26 NaHCO3, 3.8 KCl, 0.8–3.6 CaCl2 (as stated), 1.3
MgSO4, 1.3 KH2PO4, 10 glucose. Evoked
extracellular DA concentration ([DA]o) was monitored by
FCV using a Millar voltammeter (Julian Millar, Barts and the London
School of Medicine and Dentistry) and single-use carbon-fiber microelectrodes
(7–10 μm diameter) fabricated in-house (tip length 50–100
μm). A triangular voltage waveform (range −700 to +1300
mV vs Ag/AgCl) was applied at 800 V/s at a scan frequency of 8 Hz.
Electrodes were switched out of circuit between scans. Electrodes
were calibrated using 2 μM DA, prepared immediately before calibration
using stock solution (2.5 mM in 0.1 M HClO4 stored at 4
°C). Signals were attributed to DA due to the potentials of their
characteristic oxidation (500–600 mV) and reduction (−200
mV) peaks.DA recordings were obtained from dorsolateral quadrant
of CPu, or nucleus accumbens core (NAc). DA release was evoked by
a local bipolar concentric Pt/Ir electrode (25 μm diameter;
FHC Inc., Bowdoin, ME) placed approximately 100 μm from the
recording electrode. Stimulus pulses (200 μs duration) were
given at 0.6 mA (perimaximal in drug-free conditions). Stimulations
were single pulses (1p), trains of 5 pulses (5p) at 5–100 Hz,
or pairs of pulses (2p) at interpulse intervals of 10–200 ms,
repeated at 2.5 min intervals, with 1p stimulations occurring every
third stimulation. Each stimulation type was recorded in at least
triplicate in each recording site in all experimental conditions.
Unlesss otherwise stated, data were obtained in the presence of the
nAChR antagonist, dihydro-β-erythroidine (DHβE, 1 μM)
to exclude the powerful and potential confounding modulatory effects
of cholinergic interneurons on DA release.[47,48]When comparing [DA]o in CPu and NAc between CalbWT
and
CalbKD (Figure C–E),
one hemisphere containing both CPu and NAc from each genotype
was placed in the recording chamber and allowed to settle while electrodes
charged for >30 min. Three dorsolateral CPu sites and three NAc
core
sites were recorded in alternative genotypes in a random order. DHβE
(1 μM) was present throughout recordings.
Drugs and Solutions
BAPTA-AM and DHβE were purchased
from Ascent Scientific or Tocris UK; pluronic acid was from Life Technologies;
EGTA-AM was from Millipore. All other reagents were purchased from
Sigma-Aldrich. Stock solutions were made to 1000–2000×
final concentrations in H2O (DHβE and cocaine) or
DMSO (EGTA-AM, BAPTA-AM, and L741,626) and stored at −20 °C.
Drugs were diluted to their required concentrations in aCSF immediately
prior to use. In cocaine experiments, cocaine was present for up to
1 h.For EGTA-AM/BAPTA-AM experiments, striatal sections were
bisected and each hemisphere was incubated for 30 min at room temperature
in aCSF containing 2-hydroypropyl-β-cyclodextrin 70 μM
(Sigma), probenecid 175 μM, (Sigma), pluronic acid 0.1% (Life
Technologies), and either EGTA-AM, 100 μM (Millipore) or BAPTA-AM,
100 μM (Tocris), or DMSO (vehicle control).[20] Following preincubation, hemispheres were incubated for
a further 30 min in the recording chamber prior to recording. Recordings
were alternated between the EGTA-AM/BAPTA-AM-incubated versus nonincubated
slice and at paired recording locations. EGTA-AM/BAPTA-AM effects
sizes were obtained from peak [DA]o expressed as a percentage
of control paired site, analogous to genotype comparisons.
HPLC-ECD
After recording electrically evoked DA release,
tissue punches (2 × 1.2 mm for NAc and 2 × 2 mm for CPu)
taken from pairs of CalbWT and CalbKD animals were put in perchloric
acid solution (PCA) (200 μL, 0.1 M) and stored at −80
°C. On the day of measurement, all samples were homogenized using
a hand-held sonicator and spun at 14 000g at
4 °C for 15 min. CPu samples were diluted 15× in PCA, and
NAc samples were run neat and quantified against known concentration
standards (100 nM) using a 4.6 × 150 mm Microsorb C18 reverse-phase
column (Varian) and Decade II ECD apparatus with a glassy carbon working
electrode (Antec Leyden) set at +0.7 V with respect to a Ag/AgCl reference
electrode. The mobile phase contained 13% MeOH, NaH2PO4 (0.12 M), EDTA (0.8 mM), OSA (0.5 mM) pH 4.6.
Immunohistochemistry
Slices were fixed (PFA 4%) for
at least 3 days, washed in PBS, resectioned to 40 μm, and incubated
in 20% normal goat serum (NGS) (Jackson ImmunoResearch Laboratories
Inc.) in 0.3% Triton-X-100 PBS (PBS-Tx) and 5% fetal bovine serum
for 4 h. Sections were then incubated overnight at 4 °C in primary
antibody for tyrosine hydroxylase (TH) and calb1 (1:500 sheep anti-TH
(Abcam #ab113); 1:200 rabbit anti-calb1 (Cell Signaling #13176)) with
1% NGS, 1% fetal bovine serum. Sections were washed (PBS, 2×
0.3% PBS-TX) and incubated for 2 h at room temperature in secondary
antibody (Alexa Fluor 594-AffiniPure donkey anti-sheep IgG (Jackson
Laboratories cat# 713-585-147-JIR); Alexa Fluor 488-AffiniPure donkey
anti-rabbit IgG Cat#711-545-152-JIR) in PBS-Tx, 1% NGS, and fetal
bovine serum. After washes in PBS-Tx then PBS, sections were mounted
on gelled slides with Vectashield (Vector laboratories). Sections
were imaged using an Olympus BX41 microscope with a Q-Click cooled
monochrome CCD camera (Olympus medical), 100 ms exposure. Monochrome
images were converted to pseudocolored using Q-capture pro7 and optimized
using histogram equalization.
Data Analysis and Statistics
Data were acquired and
analyzed using Axoscope 10.5 (Molecular devices) and Excel macros
written locally. Data are expressed as mean ± standard error
of the mean (SEM), and n = number of animal or number
of sites per region as stated. Data from each animal were obtained
by averaging at least three recordings for each stimulus type and
reported as peak [DA]o or normalized to mean control 1p
conditions for each animal. Population means were compared using one-
or two-way ANOVA with Sidak post-test where appropriate (raw data,
and drug effects passed Shapiro-Wilk normality test) using GraphPad
Prism. Curve fits were done using GraphPad Prism.Analysis of
comparative uptake rates between genotypes were based on falling phases
of [DA]o and used two approaches as indicated. In one approach,
we approximated falling phases to exponential decay and extracted
half-lives (t1/2) and uptake rate constants.
Since uptake rate is dependent on [DA]o, falling phases
of individual transients > 2 μM peak max were matched for
[DA]o by offsetting their time poststimulation and averaged
and
compared between genotypes. In another approach, we constructed a
Michaelis–Menten type curve using all the data, forming a population
of values for maximum decay rates (extracted over a duration of 0.25
s at the point of fastest d[DA]o/dt) and
for the [DA]o at which each rate was seen. The range of
[DA]o was 0.15–2.64 μM. We extracted Km and Vmax values
from unconstrained Michaelis–Menten curve fits. Data for comparison
of uptake were collected from pairs of recordings between CalbWT and
CalbKD mice, that is, the same electrode for each genotype pair.
Authors: Mark D Condon; Nicola J Platt; Yan-Feng Zhang; Bradley M Roberts; Michael A Clements; Stefania Vietti-Michelina; Min-Yee Tseu; Katherine R Brimblecombe; Sarah Threlfell; Edward O Mann; Stephanie J Cragg Journal: Nat Commun Date: 2019-09-19 Impact factor: 14.919
Authors: Mark D Condon; Nicola J Platt; Yan-Feng Zhang; Bradley M Roberts; Michael A Clements; Stefania Vietti-Michelina; Min-Yee Tseu; Katherine R Brimblecombe; Sarah Threlfell; Edward O Mann; Stephanie J Cragg Journal: Nat Commun Date: 2019-09-19 Impact factor: 14.919