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. 2016 Jul 6;36(27):7128-41.
doi: 10.1523/JNEUROSCI.3314-15.2016.

Altered Development of Synapse Structure and Function in Striatum Caused by Parkinson's Disease-Linked LRRK2-G2019S Mutation

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Altered Development of Synapse Structure and Function in Striatum Caused by Parkinson's Disease-Linked LRRK2-G2019S Mutation

Bridget A Matikainen-Ankney et al. J Neurosci. .

Abstract

Mutations in the gene encoding leucine-rich repeat kinase 2 (LRRK2) can cause Parkinson's disease (PD), and the most common disease-associated mutation, G2019S, increases kinase activity. Because LRRK2 expression levels rise during synaptogenesis and are highest in dorsal striatal spiny projection neurons (SPNs), we tested the hypothesis that the LRRK2-G2019S mutation would alter development of excitatory synaptic networks in dorsal striatum. To circumvent experimental confounds associated with LRRK2 overexpression, we used mice expressing LRRK2-G2019S or D2017A (kinase-dead) knockin mutations. In whole-cell recordings, G2019S SPNs exhibited a fourfold increase in sEPSC frequency compared with wild-type SPNs in postnatal day 21 mice. Such heightened neural activity was increased similarly in direct- and indirect-pathway SPNs, and action potential-dependent activity was particularly elevated. Excitatory synaptic activity in D2017A SPNs was similar to wild type, indicating a selective effect of G2019S. Acute exposure to LRRK2 kinase inhibitors normalized activity, supporting that excessive neural activity in G2019S SPNs is mediated directly and is kinase dependent. Although dendritic arborization and densities of excitatory presynaptic terminals and postsynaptic dendritic spines in G2019S SPNs were similar to wild type, G2019S SPNs displayed larger spines that were matched functionally by a shift toward larger postsynaptic response amplitudes. Acutely isolating striatum from overlying neocortex normalized sEPSC frequency in G2019S mutants, supporting that abnormal corticostriatal activity is involved. These findings indicate that the G2019S mutation imparts a gain-of-abnormal function to SPN activity and morphology during a stage of development when activity can permanently modify circuit structure and function.

Significance statement: Mutations in the kinase domain of leucine-rich repeat kinase 2 (LRRK2) follow Parkinson's disease (PD) heritability. How such mutations affect brain function is poorly understood. LRRK2 expression levels rise after birth at a time when synapses are forming and are highest in dorsal striatum, suggesting that LRRK2 regulates development of striatal circuits. During a period of postnatal development when activity plays a large role in permanently shaping neural circuits, our data show how the most common PD-causing LRRK2 mutation dramatically alters excitatory synaptic activity and the shape of postsynaptic structures in striatum. These findings provide new insight into early functional and structural aberrations in striatal connectivity that may predispose striatal circuitry to both motor and nonmotor dysfunction later in life.

Keywords: G2019S; LRRK2; activity; dorsal striatum; spine morphology; synapse.

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Figures

Figure 1.
Figure 1.
LRRK2 mutations and protein levels across genotypes. A, Nucleotide sequences from the WT LRRK2 gene and the corresponding sequences of the G2019S (GS) (Gly to Ser) and D2017A (DA) (Asp to Ala) mutations (underlined nucleotides) in exon 41. B, Nissl staining of coronal sections through striatum from P21 mice shows similar cytoarchitecture across genotypes. Scale bar, 2 mm. C, Western blotting for LRRK2 in striatal lysates taken from WT, GSKI, and DAKI mice at the indicated ages. Labeling with anti-LRRK2 C41-2 antibody shows a 250 kDa band present in WT, GSKI, and DAKI lanes. Labeling for actin (42 kDa) was used as loading control. There were no significant changes in LRRK2 expression levels across genotypes (see Results). D, Western blotting of P21 striatal lysates for TH shows similar levels across genotypes (see Results).
Figure 2.
Figure 2.
G2019S mutation increases sEPSC frequency in dorsal striatal SPNs. A, Schematic of a coronal cross-section showing approximate locations of recording pipettes in dorsal striatum. B, Example of current-clamp traces showing patterns of action potentials elicited by depolarizing current steps that are characteristic of SPNs. C, Confocal image of biocytin-filled SPN after whole-cell recording. Inset shows dendritic spines characteristic of SPNs. D, Continuous voltage-clamp traces (holding at −70 mV) showing sEPSCs recorded from WT and GSKI SPNs in the presence of GBZ (10 μm; top pair of traces). All sEPSCs were blocked by glutamate receptor antagonists [middle pair of traces; APV (10 μm) and CNQX (40 μm)] and recovered after washout (bottom pair of traces). E, Mixed bar graphs/scatter plots showing average frequencies of sEPSCs at P21 from WT (n = 15 SPNs, 5 mice), GSKI (n = 12 SPNs, 6 mice; ***p = 0.0001), and DAKI (n = 10 SPNs, 5 mice; p > 0.05), F = 14.93. F, Mixed bar graphs/scatter plots showing average amplitudes of sEPSCs. There were no significant differences across genotypes. p > 0.05, F = 0.01. In E and F, linear mixed effects models were used to compare groups (see Materials and Methods). G, Sample traces of sEPSCs recorded from WT, GSKI, and DAKI. H, Cumulative probability distribution of IEIs of WT, GSKI, and DAKI sEPSCs. ***Kolmogorov–Smirnov test, WT versus GSKI, p = 0.0001 and WT versus DAKI, p = 0.45. Scale bar (in C): top, 25 μm; bottom, 7 μm.
Figure 3.
Figure 3.
LRRK2 kinase inhibitor blocks abnormal activity in GSKI SPNs. A, Mixed bar graphs/scatter plots showing frequency of sEPSCs in WT (gray), GSKI (blue), and DAKI (pink) SPNs in the presence of the diluent DMSO (circles) or GNE-7915 (50 nm) (squares). The inhibitor significantly decreased the frequency of sEPSCs in GSKI SPNs to WT levels (**p = 0.001) such that there was no significant difference in sEPSC frequency between DMSO-treated WT and GNE-7915-treated GSKI SPNs (p > 0.05). GNE-7915 had no effect on sEPSC frequencies of WT SPNs or DAKI SPNs. A one-way ANOVA with Bonferroni's post hoc tests was used to compare groups, F = 8.755. B, Sample traces showing WT (gray, top), GSKI (blue, middle), and DAKI (pink, bottom) sEPSCs in the presence of DMSO (top trace of each pair) or GNE-7915 (50 nm, bottom trace of each pair).
Figure 4.
Figure 4.
mEPSCs are not significantly altered in GSKI SPNs. Mixed bar graphs/scatter plots of averaged mEPSC frequencies (A) and amplitudes (B) at P21 from WT [n = 16 (7)] versus GSKI [n = 20 (8)] and DAKI [n = 12(4)] SPNs. There was a slight, but nonsignificant, increase in GSKI mEPSC frequency compared with WT (p = 0.0919, F = 2.87). There was no difference between DAKI and WT frequencies (p = 0.5095). B, No significant differences in mEPSC amplitudes were evident (WT vs GSKI, p = 0.3386; WT vs DAKI, p = 0.9183, F = 0.66). In A and B, a linear mixed effect model was used to compare groups (see Materials and Methods). C, Sample traces of mEPSCs recorded from SPNs of the indicated genotypes.
Figure 5.
Figure 5.
Isolating dorsal striatum from cortex normalizes excessive frequency of sEPSCs in GSKI SPNs. A, Schematic showing the distribution of corticostriatal neurons (boxed region; yellow dots in the expanded view) retrogradely labeled by DiI crystals placed into dorsal striatum in coronal slices. Layers are indicated by dashed lines and labeled by roman numerals at the bottom. Photomicrograph of DiI backlabeled neurons is shown in inset (scale bar, 40 μm). B, Graph showing action potential firing properties of WT and GSKI SPNs in response to increasing current steps. There were no significant differences in numbers of action potentials elicited between WT (n = 8) and GSKI (n = 4) SPNs (two-way ANOVA, p = 0.467, F = 0.54 for genotype; p = 0.959, F = 0.20 for genotype and injected current interaction). C, Schematic showing scalpel cuts (dotted red lines) used to acutely isolate the striatum of one side (isolated side) from the overlying neocortex. The contralateral side was left intact (intact side); whole-cell recordings were made from both sides (position indicated by pipettes). D, Mixed bar graph/scatter plots showing average frequency of sEPSCs from WT and GSKI SPNs in isolated and intact sides. Two-way ANOVA, **p = 0.0143, F = 7.68 for genotype interaction in isolated versus intact; ***p = 0.0005, F = 19.48 for decortication effect, GSKI versus WT, n = 9 (4) per genotype (WT and GSKI) and condition (isolated and intact). E, Sample traces showing WT and GSKI sEPSCs recorded from SPNs in intact or isolated sides.
Figure 6.
Figure 6.
G2019S SPNs exhibit altered spine morphology and distribution of postsynaptic response amplitudes but no change in synapse/spine density. A, Representative images of sections through P21 dorsal striatum immunofluorescently labeled for synaptic markers PSD95 (top, green), VGluT1 (middle, blue), and VGluT2 (bottom, red) taken from the indicated genotypes. Scale bar, 10 μm. Bar graphs of puncta area and density for each marker. There were no significant differences between genotypes, one-way ANOVA, n = 3–5 animals per genotype, p > 0.05. B, Western blots of synaptoneurosomes prepared from P21 striatum showing protein levels of PSD95, VGluT1, and VGluT2 from the indicated genotypes and actin, which was used as a loading control. There were no significant differences between genotypes. One-way ANOVA, n = 3 mice per genotype, p > 0.05 for all proteins. C, Bar graphs show average spine density (left) or average filopodia density (right). For classification of spines and filopodia, see Results. There were no significant differences in density between WT and GSKI SPNs [spines and filopodia, Student's t test, p = 0.214 (F = 12.19) and p = 0.460 (F = 2.632), respectively, n = 7 (5) for WT and 8 (3) for GSKI]. D, Bar graph of average total dendrite length per cell in WT and GSKI SPNs. There were no significant differences; Student's t test, p = 0.56, F = 1.275, n = 12 cells for WT and 10 cells for GSKI. E, Bar graph of average spine-head widths show significantly increased width in GSKI neurons; Student's t test, **p = 0.006, F = 3.154, n = 7 WT neurons and 8 GSKI neurons. At right are examples of deconvolved confocal image Z-stacks of biocytin-filled, Alexa Fluor 594-labeled GSKI and WT SPN dendrite segments; scale bar, 4 μm. F, Cumulative probability distributions of spine-head widths in SPNs from WT (gray line) and GSKI (blue line) mice. Rightward shift is significant, ***Kolmogorov–Smirnov test, p = 0.0001; n = 7 (5) WT and 8 (3) GSKI. Inset, Binned data of spine-head widths. G, Cumulative probability distributions of sEPSC amplitudes of the first 50 events per cell from WT (gray) or GSKI (blue) SPNs. Rightward shift is significant, ***Kolmogorov–Smirnov test, p = 0.0001, n = 15 (5) for WT and 12(6) for GSKI. Inset, Binned data of all of the events.

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References

    1. Aarsland D, Brønnick K, Larsen JP, Tysnes OB, Alves G. Cognitive impairment in incident, untreated Parkinson disease: the Norwegian ParkWest study. Neurology. 2009;72:1121–1126. doi: 10.1212/01.wnl.0000338632.00552.cb. - DOI - PubMed
    1. Andersen SL. Trajectories of brain development: point of vulnerability or window of opportunity? Neurosci Biobehav Rev. 2003;27:3–18. doi: 10.1016/S0149-7634(03)00005-8. - DOI - PubMed
    1. Andreae LC, Fredj NB, Burrone J. Independent vesicle pools underlie different modes of release during neuronal development. J Neurosci. 2012;32:1867–1874. doi: 10.1523/JNEUROSCI.5181-11.2012. - DOI - PMC - PubMed
    1. Archer T, Garcia D. Attention-deficit/hyperactivity disorder: focus upon aberrant N-methyl-d-aspartate receptors systems. Curr Top Behav Neurosci. 2015 doi: 10.1007/7854_2015_415. doi: 10.1007/7854_2015_415. Advance online publication. Retrieved June 1, 2015. - DOI - DOI - PubMed
    1. Arranz AM, Delbroek L, Van Kolen K, Guimarães MR, Mandemakers W, Daneels G, Matta S, Calafate S, Shaban H, Baatsen P, De Bock PJ, Gevaert K, Vanden Berghe P, Verstreken P, De Strooper B, Moechars D. LRRK2 functions in synaptic vesicle endocytosis through a kinase-dependent mechanism. J Cell Sci. 2015;128:541–552. doi: 10.1242/jcs.158196. - DOI - PubMed

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