Cited by 32

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

R1441C and G2019S LRRK2 knockin mice have distinct striatal molecular, physiological, and behavioral alterations

Xenias, Harry S., Chen, Chuyu, Kang, Shuo, Cherian, Suraj, Situ, Xiaolei, Shanmugasundaram, Bharanidharan, Liu, Guoxiang, Scesa, Giuseppe, Chan, C. Savio, Parisiadou, Loukia·2022·Communications Biology

Published version of a preprint

Abstract

LRRK2 mutations are closely associated with Parkinson’s disease (PD). Convergent evidence suggests that LRRK2 regulates striatal function. Here, by using knock-in mouse lines expressing the two most common LRRK2 pathogenic mutations—G2019S and R1441C—we investigated how LRRK2 mutations altered striatal physiology. While we found that both R1441C and G2019S mice displayed reduced nigrostriatal dopamine release, hypoexcitability in indirect-pathway striatal projection neurons, and alterations associated with an impaired striatal-dependent motor learning were observed only in the R1441C mice. We also showed that increased synaptic PKA activities in the R1441C and not G2019S mice underlie the specific alterations in motor learning deficits in the R1441C mice. In summary, our data argue that LRRK2 mutations’ impact on the striatum cannot be simply generalized. Instead, alterations in electrochemical, electrophysiological, molecular, and behavioral levels were distinct between LRRK2 mutations. Our findings offer mechanistic insights for devising and optimizing treatment strategies for PD patients.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s42003-022-04136-8

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 RC and GS LRRK2 mice have decreased nigrostriatal dopamine release. a A schematic diagram of LRRK2 protein: a family of Ras-like G-proteins with functionally distinct multi-domains, consisting of armadillo repeats (ARM), ankyrin repeats (ANK), the leucine-rich repeats (LRR), the C-terminal of Roc (COR), the ROC GTPase domain where the R1441C/G/H (RC) mutations reside, and the kinase domain where the G2019S (GS) mutation resides. The WD40 domain is involved in membrane binding with ARM and ANK believed to stabilize the electrostatic surfaces of the domains. b. Brightfield photomicrograph of a parasagittal slice with a concentric stimulating electrode placed in the dorsal striatum (dStr); a carbon fiber electrode was inserted adjacent to the stimulation site. Ctx, cortex. c Population data showing for evoked [DA] in WT, RC, and GS LRRK2 KI mice. The median evoked concentrations were: [DA]WT = 1057.6 ± 117.9 nM (n = 10); [DA]RC = 538.7 ± 143.2 nM (n = 9); [DA]GS = 554.9 ± 218.4 nM (n = 13). Compared to WT mice, evoked dopamine [DA] was decreased in RC mice (p = 0.006, Mann–Whitney U test). Similarly, compared to WT mice, [DA] was less in GS mice (p = 0.001; Mann–Whitney U test). There was no difference in evoked release between RC and GS mice (p = 0.69; Mann–Whitney U test). d Representative time courses for [DA] with corresponding cyclic voltammograms and color maps of fast-scanning cyclic voltammetry recordings. Peak evoked responses: [DA]WT = 1223.7 nM; [DA]RC = 655.1 nM; [DA]GS = 710.4 nM. Colormaps are normalized to the oxidation current from the WT recording. ** denotes p < 0.01. See Supplementary Table 1 for complete sample sizes by sex and statistical results.
Fig. 1 RC and GS LRRK2 mice have decreased nigrostriatal dopamine release. a A schematic diagram of LRRK2 protein: a family of Ras-like G-proteins with functionally distinct multi-domains, consisting of armadillo repeats (ARM), ankyrin repeats (ANK), the leucine-rich repeats (LRR), the C-terminal of Roc (COR), the ROC GTPase domain where the R1441C/G/H (RC) mutations reside, and the kinase domain where the G2019S (GS) mutation resides. The WD40 domain is involved in membrane binding with ARM and ANK believed to stabilize the electrostatic surfaces of the domains. b. Brightfield photomicrograph of a parasagittal slice with a concentric stimulating electrode placed in the dorsal striatum (dStr); a carbon fiber electrode was inserted adjacent to the stimulation site. Ctx, cortex. c Population data showing for evoked [DA] in WT, RC, and GS LRRK2 KI mice. The median evoked concentrations were: [DA]WT = 1057.6 ± 117.9 nM (n = 10); [DA]RC = 538.7 ± 143.2 nM (n = 9); [DA]GS = 554.9 ± 218.4 nM (n = 13). Compared to WT mice, evoked dopamine [DA] was decreased in RC mice (p = 0.006, Mann–Whitney U test). Similarly, compared to WT mice, [DA] was less in GS mice (p = 0.001; Mann–Whitney U test). There was no difference in evoked release between RC and GS mice (p = 0.69; Mann–Whitney U test). d Representative time courses for [DA] with corresponding cyclic voltammograms and color maps of fast-scanning cyclic voltammetry recordings. Peak evoked responses: [DA]WT = 1223.7 nM; [DA]RC = 655.1 nM; [DA]GS = 710.4 nM. Colormaps are normalized to the oxidation current from the WT recording. ** denotes p < 0.01. See Supplementary Table 1 for complete sample sizes by sex and statistical results.CC BY · PubMed Central
Fig. 2 iSPNs in RC LRRK2 mice have decreased excitability. a, b Representative whole-cell current-clamp recordings of dSPNs and iSPNs in WT and RC LRRK2 KI mice. The three injection steps shown represent the currents for the different voltage responses, the hyperpolarization response, the first occurrence of action potentials, and the maximum firing, respectively. No differences in the frequency-current (F-I) function were found for dSPNs between WT and RC mice at the current where the half-maximum firing occurred in the population data (I = 475 pA, spikesWT = 12.0 ± 4.0, n = 20 cells; spikesRC = 14.0 ± 3.0, n = 30 cells; p = 0.21, Mann–Whitney U test). For iSPNs there was a decrease of the firing response to half-maximum firing current in the RC mice compared to the WT mice (I = 325 pA, spikesWT = 14.0 ± 5.0, n = 20 cells; spikesRC = 6.0 ± 6.0, n = 23 cells; p = 0.037, Mann–Whitney U test). The current where the maximal difference between the F-I functions for the WT and RC mice was also calculated (I = 625 pA, dotted line) to compare the number of elicited spikes between the WT and RC mice. We found a decrease in the number of spikes elicited in RC mice compared to WT mice (spikesWT = 22.0 ± 4.5, n = 17 cells; spikesRC = 15.0 ± 5.0, n = 23 cells; p = 0.0011, Mann–Whitney U test). c, d Representative whole-cell current-clamp recordings of dSPNs and iSPNs in WT and GS LRRK2 KI mice with population F-I data. For GS mice, no differences were found in the half-maximum firing responses for either dSPNs (spikesWT = 8.0 ± 5.0, n = 13 cells; spikesGS = 11.0 ± 3.0, n = 29 cells; p = 0.12, Mann–Whitney U test) or iSPNs (spikesWT = 10.5 ± 4.8, n = 20 cells; spikesGS = 12.0 ± 4.0, n = 28 cells; p = 0.73, Mann–Whitney U test). F-I data are shown as mean ± standard error of the mean. * denotes p < 0.05. See Supplementary Table 2 for complete sample sizes and statistical results.
Fig. 2 iSPNs in RC LRRK2 mice have decreased excitability. a, b Representative whole-cell current-clamp recordings of dSPNs and iSPNs in WT and RC LRRK2 KI mice. The three injection steps shown represent the currents for the different voltage responses, the hyperpolarization response, the first occurrence of action potentials, and the maximum firing, respectively. No differences in the frequency-current (F-I) function were found for dSPNs between WT and RC mice at the current where the half-maximum firing occurred in the population data (I = 475 pA, spikesWT = 12.0 ± 4.0, n = 20 cells; spikesRC = 14.0 ± 3.0, n = 30 cells; p = 0.21, Mann–Whitney U test). For iSPNs there was a decrease of the firing response to half-maximum firing current in the RC mice compared to the WT mice (I = 325 pA, spikesWT = 14.0 ± 5.0, n = 20 cells; spikesRC = 6.0 ± 6.0, n = 23 cells; p = 0.037, Mann–Whitney U test). The current where the maximal difference between the F-I functions for the WT and RC mice was also calculated (I = 625 pA, dotted line) to compare the number of elicited spikes between the WT and RC mice. We found a decrease in the number of spikes elicited in RC mice compared to WT mice (spikesWT = 22.0 ± 4.5, n = 17 cells; spikesRC = 15.0 ± 5.0, n = 23 cells; p = 0.0011, Mann–Whitney U test). c, d Representative whole-cell current-clamp recordings of dSPNs and iSPNs in WT and GS LRRK2 KI mice with population F-I data. For GS mice, no differences were found in the half-maximum firing responses for either dSPNs (spikesWT = 8.0 ± 5.0, n = 13 cells; spikesGS = 11.0 ± 3.0, n = 29 cells; p = 0.12, Mann–Whitney U test) or iSPNs (spikesWT = 10.5 ± 4.8, n = 20 cells; spikesGS = 12.0 ± 4.0, n = 28 cells; p = 0.73, Mann–Whitney U test). F-I data are shown as mean ± standard error of the mean. * denotes p < 0.05. See Supplementary Table 2 for complete sample sizes and statistical results.CC BY · PubMed Central
Fig. 3 RC KI mice show dopamine-dependent motor learning impairments. a Schematic of the rotarod training paradigm. Mice were assessed over a total of 18 daily sessions, where every daily session consisted of five trials. WT, GS, and RC mice were administered either saline or a cocktail of D1 receptor (SCH23390) and D2 receptor (eticlopride), 1 mg/kg of each antagonist 30 min prior to daily sessions, and trained for five successive days in an accelerated rotarod. After a 72 h break, the mice were returned to the rotarod for an additional 13 days of a drug-free recovery phase. b Genotype-dependent effect of blocking both D1 and D2 receptors during the first five sessions on rotarod performance of WT, RC, and GS mice. The average latency in the early (session 6–8) and late (session 16–18) stages in the drug-free recovery phase in b is summarized in c. Open and filled bars represent the average performance of saline control and drug-treated mice, respectively (saline treated groups: nWT = 10 mice, nRC = 10 mice, and nGS = 9 mice; D1 + D2 receptor antagonist treated groups: nWT = 13 mice, nRC = 11 mice, and nGS = 11 mice; ***p < 0.001 vs genotype-matched saline control). d Improved performance of RC mice (n = 10) received antagonist cocktail but no training during the first five sessions. The RCD1+D2 group data is from Fig. 3b–c for reference. See Supplementary Table 7 for complete sample sizes and statistical results. e. Distance traveled in the open field after five days of rotarod training with either vehicle or dopamine receptor antagonist cocktail treatment. Another group of mice received dopamine antagonist treatment and rotarod training for five days under the same schedule described in a-c and were tested in the open field immediately after the 72-hr break instead of the drug-free phase (saline treated groups: nWT = 11 mice, nRC = 8, and nGS = 7 mice; D1R + D2R antagonist treated groups: nWT = 7, nRC = 5, and nGS = 6 mice; D1R antagonist treated groups: nWT = 7, nRC = 8, and nGS = 9 mice; D2R antagonist treated groups: nWT = 8, nRC = 11, and nGS = 7 mice).
Fig. 3 RC KI mice show dopamine-dependent motor learning impairments. a Schematic of the rotarod training paradigm. Mice were assessed over a total of 18 daily sessions, where every daily session consisted of five trials. WT, GS, and RC mice were administered either saline or a cocktail of D1 receptor (SCH23390) and D2 receptor (eticlopride), 1 mg/kg of each antagonist 30 min prior to daily sessions, and trained for five successive days in an accelerated rotarod. After a 72 h break, the mice were returned to the rotarod for an additional 13 days of a drug-free recovery phase. b Genotype-dependent effect of blocking both D1 and D2 receptors during the first five sessions on rotarod performance of WT, RC, and GS mice. The average latency in the early (session 6–8) and late (session 16–18) stages in the drug-free recovery phase in b is summarized in c. Open and filled bars represent the average performance of saline control and drug-treated mice, respectively (saline treated groups: nWT = 10 mice, nRC = 10 mice, and nGS = 9 mice; D1 + D2 receptor antagonist treated groups: nWT = 13 mice, nRC = 11 mice, and nGS = 11 mice; ***p < 0.001 vs genotype-matched saline control). d Improved performance of RC mice (n = 10) received antagonist cocktail but no training during the first five sessions. The RCD1+D2 group data is from Fig. 3b–c for reference. See Supplementary Table 7 for complete sample sizes and statistical results. e. Distance traveled in the open field after five days of rotarod training with either vehicle or dopamine receptor antagonist cocktail treatment. Another group of mice received dopamine antagonist treatment and rotarod training for five days under the same schedule described in a-c and were tested in the open field immediately after the 72-hr break instead of the drug-free phase (saline treated groups: nWT = 11 mice, nRC = 8, and nGS = 7 mice; D1R + D2R antagonist treated groups: nWT = 7, nRC = 5, and nGS = 6 mice; D1R antagonist treated groups: nWT = 7, nRC = 8, and nGS = 9 mice; D2R antagonist treated groups: nWT = 8, nRC = 11, and nGS = 7 mice).CC BY · PubMed Central
Fig. 4 Synaptic PKA signaling is increased in the striatum of RC mice trained in the rotarod task. a Workflow of proteomic screening for total TMT-labeled peptides in WT, RC, and GS striatal crude synaptosomal fraction after 5 days of cocktail (D1R and D2R antagonists) administration and rotarod training. b Pairwise comparisons of WT vs. RC and WT vs. GS proteins revealed that 90 proteins for WT vs. RC and 162 proteins for WT vs. GS were differentially regulated. These findings were further quantified if the proteins were up- or down-regulated. c Venn diagrams show the overlap of modulated (both up and down-regulated) proteins between WT versus RC and WT versus GS comparisons. 66 differentially regulated proteins were common between the WT vs. RC and WT vs. GS groups. d KEGG analysis of selective pathways altered in RC synaptosomal fraction compared to WT. The top enriched pathways are found in Supplementary Fig. 8, while the full lists of differentially expressed proteins and pathways in WT versus RC and WT versus GS can be found in Supplementary F 1 and 2. e WB analysis of striatal P2 fraction of WT, RC, and GS mice after the rotarod paradigm probed for p-PKA, PSD95, and β-actin. f Quantification of p-PKA band intensities normalized to PSD95. Summary graphs represent the mean, while error bars SEM, *p < 0.05, Tukey post hoc following one-way ANOVA (n = 5). g Western blot analysis of striatal extracts of D1 + D2 receptors antagonists administered WT, RC and RC injected with shPKARIIβ probed for p-PKA substrates. Session 5 refers to the end of the drug phase of the rotarod, whereas session 18 denotes the end of the rotarod behavioral test. h Quantification of p-PKA bands normalized to α-tubulin in striatal extracts of WT and RC mice after session 5 and 18 of the rotarod task described in Fig. 3. Summary graphs reflect the mean, and error bars reflect SEM. *p < 0.05, ****p < 0.0001, Tukey post-hoc test following one-way ANOVA (n = 3).
Fig. 4 Synaptic PKA signaling is increased in the striatum of RC mice trained in the rotarod task. a Workflow of proteomic screening for total TMT-labeled peptides in WT, RC, and GS striatal crude synaptosomal fraction after 5 days of cocktail (D1R and D2R antagonists) administration and rotarod training. b Pairwise comparisons of WT vs. RC and WT vs. GS proteins revealed that 90 proteins for WT vs. RC and 162 proteins for WT vs. GS were differentially regulated. These findings were further quantified if the proteins were up- or down-regulated. c Venn diagrams show the overlap of modulated (both up and down-regulated) proteins between WT versus RC and WT versus GS comparisons. 66 differentially regulated proteins were common between the WT vs. RC and WT vs. GS groups. d KEGG analysis of selective pathways altered in RC synaptosomal fraction compared to WT. The top enriched pathways are found in Supplementary Fig. 8, while the full lists of differentially expressed proteins and pathways in WT versus RC and WT versus GS can be found in Supplementary F 1 and 2. e WB analysis of striatal P2 fraction of WT, RC, and GS mice after the rotarod paradigm probed for p-PKA, PSD95, and β-actin. f Quantification of p-PKA band intensities normalized to PSD95. Summary graphs represent the mean, while error bars SEM, *p < 0.05, Tukey post hoc following one-way ANOVA (n = 5). g Western blot analysis of striatal extracts of D1 + D2 receptors antagonists administered WT, RC and RC injected with shPKARIIβ probed for p-PKA substrates. Session 5 refers to the end of the drug phase of the rotarod, whereas session 18 denotes the end of the rotarod behavioral test. h Quantification of p-PKA bands normalized to α-tubulin in striatal extracts of WT and RC mice after session 5 and 18 of the rotarod task described in Fig. 3. Summary graphs reflect the mean, and error bars reflect SEM. *p < 0.05, ****p < 0.0001, Tukey post-hoc test following one-way ANOVA (n = 3).CC BY · PubMed Central
Fig. 5 PKARIIβ knockdown modifies p-PKA signaling in the striatum of WT and RC mice. a Striatal sections of AAV-eGFP-shcontrol and AAV-eGFP-shPKARIIβ injected WT and RC mice. Scale bar, 50 μm. b Western blot analysis of striatum of WT mice injected with AAV-sh-control and AAV-sh-PKARIIβ viral constructs probed for PKARIIβ. c Quantification of PKARIIβ from b normalized to β-actin. Summary graphs represent the mean, while error bars SEM, **p < 0.01, unpaired t-test (n = 5). d Western Blot analysis of striatum of WT mice injected with, AAV-sh-control and AAV-sh-PKARIIβ probed for PKARIIβ, pPKARIIβ, p-S845GluA1, GluA1 and β-actin. e Western blot analysis of striatal extracts from WT and RC mice injected with AAV-sh-control and AAV-sh-PKARIIβ viral constructs probed for PKARIIβ, and gapdh. f Quantification of PKA bands normalized to gapdh. Summary graphs represent the mean, while error bars SEM, *p < 0.05, **p < 0.01, Tukey post hoc following one-way ANOVA (n = 3).
Fig. 5 PKARIIβ knockdown modifies p-PKA signaling in the striatum of WT and RC mice. a Striatal sections of AAV-eGFP-shcontrol and AAV-eGFP-shPKARIIβ injected WT and RC mice. Scale bar, 50 μm. b Western blot analysis of striatum of WT mice injected with AAV-sh-control and AAV-sh-PKARIIβ viral constructs probed for PKARIIβ. c Quantification of PKARIIβ from b normalized to β-actin. Summary graphs represent the mean, while error bars SEM, **p < 0.01, unpaired t-test (n = 5). d Western Blot analysis of striatum of WT mice injected with, AAV-sh-control and AAV-sh-PKARIIβ probed for PKARIIβ, pPKARIIβ, p-S845GluA1, GluA1 and β-actin. e Western blot analysis of striatal extracts from WT and RC mice injected with AAV-sh-control and AAV-sh-PKARIIβ viral constructs probed for PKARIIβ, and gapdh. f Quantification of PKA bands normalized to gapdh. Summary graphs represent the mean, while error bars SEM, *p < 0.05, **p < 0.01, Tukey post hoc following one-way ANOVA (n = 3).CC BY · PubMed Central
Fig. 6 Aberrant synaptic PKA activities underlie the dopamine-dependent RC impaired motor learning. a Western blot analysis of striatal extracts from WT and RC mice injected with AAV-sh-control and AAV-sh-PKARIIβ viral constructs probed for p-PKA and β-actin. b Quantification of p-PKA bands normalized to β-actin. Summary graphs represent the mean, while error bars SEM, *p < 0.05, ***p < 0.001, Tukey post hoc following one-way ANOVA (n = 3). c, d The latency to fall of RC mice treated with the dopamine receptors antagonists’ cocktail and injected either with control AAV-sh-control and AAV-sh-PKARIIβ viruses was assessed in the rotarod paradigm described in Fig. 3a. A subset of mice was administered saline and used as a reference for the effect of D1 and D2 antagonism (saline treated group nRCsaline = 10, D1 + D2 antagonists treated groups nRCsh-control = 13, and nRC-shPKARIIβ = 10). The average latency in the drug-free recovery phase of the three late sessions (16–18) are summarized in e. Asterisks show statistical significance for Tukey’s multiple comparison tests after two-way ANOVA. d Dopamine receptor antagonists treated WT mice were injected with shPKARIIβ virus, and their latency to fall was assessed in the accelerating test. WT mice administered saline and cocktail are used as reference, saline treated group nWT = 10, D1 + D2 receptor antagonist treated groups nRC = 12, and nRC-shPKARIIβ = 11. The average latency in the three late sessions (16–18) of the rotarod test is shown in f. Asterisks show statistical significance for Tukey’s multiple comparison tests after two-way ANOVA. g Working model of aberrant PKA synaptic activities at a blowup of a spine of an SPN (left). Presynaptic dysregulation of LRRK2 activity in RC and GS mutants has a common disruption of the synaptic vesicle cycle, which leads to decreased dopamine release. In addition, in RC mutants, there is a postsynaptic translocation of PKA into the dendritic spines with aberrant increased PKA activity, which disrupts synaptic signaling and interferes with motor learning and performance (measured by decreased latency to fall off rotarod).
Fig. 6 Aberrant synaptic PKA activities underlie the dopamine-dependent RC impaired motor learning. a Western blot analysis of striatal extracts from WT and RC mice injected with AAV-sh-control and AAV-sh-PKARIIβ viral constructs probed for p-PKA and β-actin. b Quantification of p-PKA bands normalized to β-actin. Summary graphs represent the mean, while error bars SEM, *p < 0.05, ***p < 0.001, Tukey post hoc following one-way ANOVA (n = 3). c, d The latency to fall of RC mice treated with the dopamine receptors antagonists’ cocktail and injected either with control AAV-sh-control and AAV-sh-PKARIIβ viruses was assessed in the rotarod paradigm described in Fig. 3a. A subset of mice was administered saline and used as a reference for the effect of D1 and D2 antagonism (saline treated group nRCsaline = 10, D1 + D2 antagonists treated groups nRCsh-control = 13, and nRC-shPKARIIβ = 10). The average latency in the drug-free recovery phase of the three late sessions (16–18) are summarized in e. Asterisks show statistical significance for Tukey’s multiple comparison tests after two-way ANOVA. d Dopamine receptor antagonists treated WT mice were injected with shPKARIIβ virus, and their latency to fall was assessed in the accelerating test. WT mice administered saline and cocktail are used as reference, saline treated group nWT = 10, D1 + D2 receptor antagonist treated groups nRC = 12, and nRC-shPKARIIβ = 11. The average latency in the three late sessions (16–18) of the rotarod test is shown in f. Asterisks show statistical significance for Tukey’s multiple comparison tests after two-way ANOVA. g Working model of aberrant PKA synaptic activities at a blowup of a spine of an SPN (left). Presynaptic dysregulation of LRRK2 activity in RC and GS mutants has a common disruption of the synaptic vesicle cycle, which leads to decreased dopamine release. In addition, in RC mutants, there is a postsynaptic translocation of PKA into the dendritic spines with aberrant increased PKA activity, which disrupts synaptic signaling and interferes with motor learning and performance (measured by decreased latency to fall off rotarod).CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Research works printed but not linked: 90

  1. Alessi, D. R. & Sammler, E. LRRK2 kinase in Parkinson’s disease. Science 360, 36–37 (2018). · DOI · Paper page
  2. Cookson, M. R. The role of leucine-rich repeat kinase 2 (LRRK2) in Parkinson’s disease. Nat. Rev. Neurosci. 11, 791–797 (2010). · DOI
  3. Satake, W. et al. Genome-wide association study identifies common variants at four loci as genetic risk factors for Parkinson’s disease. Nat. Genet. 41, 1303–1307 (2009). · DOI
  4. Simon-Sanchez, J. et al. Genome-wide association study reveals genetic risk underlying Parkinson’s disease. Nat. Genet. 41, 1308–1312 (2009). · DOI · Paper page
  5. Di Fonzo, A. et al. Comprehensive analysis of the LRRK2 gene in sixty families with Parkinson’s disease. Eur. J. Hum. Genet. 14, 322–331 (2006). · DOI
  6. Haugarvoll, K. et al. Lrrk2 R1441C parkinsonism is clinically similar to sporadic Parkinson disease. Neurology 70, 1456–1460 (2008). · DOI
  7. Kluss, J. H., Mamais, A. & Cookson, M. R. LRRK2 links genetic and sporadic Parkinson’s disease. Biochem. Soc. Trans. 47, 651–661 (2019). · DOI · Paper page
  8. Paisan-Ruiz, C., Lewis, P. A. & Singleton, A. B. LRRK2: cause, risk, and mechanism. J. Parkinsons Dis. 3, 85–103 (2013). · DOI
  9. Dauer, W. & Ho, C. C. The biology and pathology of the familial Parkinson’s disease protein LRRK2. Mov. Disord. 25, S40–S43 (2010). · DOI
  10. Esteves, A. R., Swerdlow, R. H. & Cardoso, S. M. LRRK2, a puzzling protein: insights into Parkinson’s disease pathogenesis. Exp. Neurol. 261, 206–216 (2014). · DOI
  11. Tokars, V., Chen, C. & Parisiadou, L. Closing the structure-to-function gap for LRRK2. Trends Biochem Sci https://doi.org/10.1016/j.tibs.2021.10.003 (2021). · DOI
  12. Steger, M. et al. Phosphoproteomics reveals that Parkinson’s disease kinase LRRK2 regulates a subset of Rab GTPases. Elife 5 https://doi.org/10.7554/eLife.12813 (2016). · DOI · Paper page
  13. Liu, Z. et al. LRRK2 phosphorylates membrane-bound Rabs and is activated by GTP-bound Rab7L1 to promote recruitment to the trans-Golgi network. Hum. Mol. Genet. 27, 385–395 (2018). · DOI · Paper page
  14. Shu, L. et al. Clinical heterogeneity among LRRK2 variants in Parkinson’s disease: a meta-analysis. Front Aging Neurosci. 10, 283 (2018). · DOI
  15. Dubbioso, R. et al. Does motor cortex plasticity depend on the type of mutation in the leucine-rich repeat kinase 2 gene? Mov. Disord. 32, 947–948 (2017). · DOI
  16. Volta, M. & Melrose, H. LRRK2 mouse models: dissecting the behavior, striatal neurochemistry and neurophysiology of PD pathogenesis. Biochem Soc. Trans. 45, 113–122 (2017). · DOI
  17. Xiong, Y., Dawson, T. M. & Dawson, V. L. Models of LRRK2-associated Parkinson’s disease. Adv. Neurobiol. 14, 163–191 (2017). · DOI
  18. Tong, Y. et al. R1441C mutation in LRRK2 impairs dopaminergic neurotransmission in mice. Proc. Natl Acad. Sci. USA 106, 14622–14627 (2009). · DOI
  19. Yue, M. et al. Progressive dopaminergic alterations and mitochondrial abnormalities in LRRK2 G2019S knock-in mice. Neurobiol. Dis. 78, 172–195 (2015). · DOI · Paper page
  20. West, A. B. et al. Differential LRRK2 expression in the cortex, striatum, and substantia nigra in transgenic and nontransgenic rodents. J. Comp. Neurol. 522, 2465–2480 (2014). · DOI · Paper page
  21. Cho, H. J. et al. MicroRNA-205 regulates the expression of Parkinson’s disease-related leucine-rich repeat kinase 2 protein. Hum. Mol. Genet 22, 608–620 (2013). · DOI
  22. Parisiadou, L. et al. LRRK2 regulates synaptogenesis and dopamine receptor activation through modulation of PKA activity. Nat. Neurosci. 17, 367–376 (2014). · DOI
  23. Matikainen-Ankney, B. A. et al. Altered development of synapse structure and function in striatum caused by Parkinson’s disease-linked LRRK2-G2019S mutation. J. Neurosci. 36, 7128–7141 (2016). · DOI · Paper page
  24. Volta, M. et al. Initial elevations in glutamate and dopamine neurotransmission decline with age, as does exploratory behavior, in LRRK2 G2019S knock-in mice. Elife 6 https://doi.org/10.7554/eLife.28377 (2017). · DOI · Paper page
  25. Chen, C. et al. Pathway-specific dysregulation of striatal excitatory synapses by LRRK2 mutations. Elife 9 https://doi.org/10.7554/eLife.58997 (2020). · DOI · Paper page
  26. Iannotta, L. et al. Divergent effects of G2019S and R1441C LRRK2 mutations on LRRK2 and Rab10 phosphorylations in mouse tissues. Cells 9 https://doi.org/10.3390/cells9112344 (2020). · DOI
  27. Li, X. et al. Enhanced striatal dopamine transmission and motor performance with LRRK2 overexpression in mice is eliminated by familial Parkinson’s disease mutation G2019S. J. Neurosci. 30, 1788–1797 (2010). · DOI
  28. Li, Y. et al. Mutant LRRK2(R1441G) BAC transgenic mice recapitulate cardinal features of Parkinson’s disease. Nat. Neurosci. 12, 826–828 (2009). · DOI
  29. Melrose, H. L. et al. Impaired dopaminergic neurotransmission and microtubule-associated protein tau alterations in human LRRK2 transgenic mice. Neurobiol. Dis. 40, 503–517 (2010). · DOI
  30. Beil, J., Fairbairn, L., Pelczar, P. & Buch, T. Is BAC transgenesis obsolete? State of the art in the era of designer nucleases. J. Biomed. Biotechnol. 2012, 308414 (2012). · DOI
  31. Chaturvedi, P., Zhao, B., Zimmerman, D. L. & Belmont, A. S. Stable and reproducible transgene expression independent of proliferative or differentiated state using BAC TG-EMBED. Gene Ther. 25, 376–391 (2018). · DOI
  32. Lahiri, A. K. & Bevan, M. D. Dopaminergic transmission rapidly and persistently enhances excitability of D1 receptor-expressing striatal projection neurons. Neuron 106, 277–290.e6 (2020). · DOI · Paper page
  33. Gerfen, C. R. & Surmeier, D. J. Modulation of striatal projection systems by dopamine. Annu Rev. Neurosci. 34, 441–466 (2011). · DOI
  34. Bernard, V., Normand, E. & Bloch, B. Phenotypical characterization of the rat striatal neurons expressing muscarinic receptor genes. J. Neurosci. 12, 3591–3600 (1992). · DOI
  35. Ericsson, J. et al. Dopamine differentially modulates the excitability of striatal neurons of the direct and indirect pathways in lamprey. J. Neurosci. 33, 8045–8054 (2013). · DOI
  36. Ding, L. & Perkel, D. J. Dopamine modulates excitability of spiny neurons in the avian basal ganglia. J. Neurosci. 22, 5210–5218 (2002). · DOI
  37. Chan, C. S. et al. Strain-specific regulation of striatal phenotype in Drd2-eGFP BAC transgenic mice. J. Neurosci. 32, 9124–9132 (2012). · DOI
  38. Fieblinger, T. et al. Cell type-specific plasticity of striatal projection neurons in parkinsonism and L-DOPA-induced dyskinesia. Nat. Commun. 5, 5316 (2014). · DOI
  39. Gertler, T. S., Chan, C. S. & Surmeier, D. J. Dichotomous anatomical properties of adult striatal medium spiny neurons. J. Neurosci. 28, 10814–10824 (2008). · DOI
  40. Tozzi, A. et al. Dopamine D2 receptor-mediated neuroprotection in a G2019S Lrrk2 genetic model of Parkinson’s disease. Cell Death Dis. 9, 204 (2018). · DOI
  41. Beccano-Kelly, D. A. et al. Synaptic function is modulated by LRRK2 and glutamate release is increased in cortical neurons of G2019S LRRK2 knock-in mice. Front Cell Neurosci. 8, 301 (2014). · DOI · Paper page
  42. Kupferschmidt, D. A., Juczewski, K., Cui, G., Johnson, K. A. & Lovinger, D. M. Parallel, but dissociable, processing in discrete corticostriatal inputs encodes skill learning. Neuron 96, 476–489 e475 (2017). · DOI
  43. Monville, C., Torres, E. M. & Dunnett, S. B. Comparison of incremental and accelerating protocols of the rotarod test for the assessment of motor deficits in the 6-OHDA model. J. Neurosci. Methods 158, 219–223 (2006). · DOI
  44. Rozas, G., Lopez-Martin, E., Guerra, M. J. & Labandeira-Garcia, J. L. The overall rod performance test in the MPTP-treated-mouse model of Parkinsonism. J. Neurosci. Methods 83, 165–175 (1998). · DOI
  45. Beeler, J. A. et al. A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson’s disease. Cell Rep. 2, 1747–1761 (2012). · DOI
  46. Zhuang, X., Mazzoni, P. & Kang, U. J. The role of neuroplasticity in dopaminergic therapy for Parkinson disease. Nat. Rev. Neurol. 9, 248–256 (2013). · DOI
  47. Kawashima, S., Ueki, Y., Kato, T., Ito, K. & Matsukawa, N. Reduced striatal dopamine release during motor skill acquisition in Parkinson’s disease. PLoS ONE 13, e0196661 (2018). · DOI
  48. Beeler, J. A. et al. Dopamine-dependent motor learning: insight into levodopa’s long-duration response. Ann. Neurol. 67, 639–647 (2010). · DOI · Paper page
  49. Yin, H. H. et al. Dynamic reorganization of striatal circuits during the acquisition and consolidation of a skill. Nat. Neurosci. 12, 333–341 (2009). · DOI · Paper page
  50. Costa, R. M., Cohen, D. & Nicolelis, M. A. Differential corticostriatal plasticity during fast and slow motor skill learning in mice. Curr. Biol. 14, 1124–1134 (2004). · DOI · Paper page
  51. Giesert, F. et al. The pathogenic LRRK2 R1441C mutation induces specific deficits modeling the prodromal phase of Parkinson’s disease in the mouse. Neurobiol. Dis. 105, 179–193 (2017). · DOI
  52. Fell, M. J. et al. MLi-2, a potent, selective, and centrally active compound for exploring the therapeutic potential and safety of LRRK2 kinase inhibition. J. Pharm. Exp. Ther. 355, 397–409 (2015). · DOI
  53. Dzamko, N. et al. Inhibition of LRRK2 kinase activity leads to dephosphorylation of Ser(910)/Ser(935), disruption of 14-3-3 binding and altered cytoplasmic localization. Biochem. J. 430, 405–413 (2010). · DOI
  54. Lis, P. et al. Development of phospho-specific Rab protein antibodies to monitor in vivo activity of the LRRK2 Parkinson’s disease kinase. Biochem J. 475, 1–22 (2018). · DOI · Paper page
  55. Surmeier, D. J., Carrillo-Reid, L. & Bargas, J. Dopaminergic modulation of striatal neurons, circuits, and assemblies. Neuroscience 198, 3–18 (2011). · DOI
  56. Smith, F. D. et al. Local protein kinase A action proceeds through intact holoenzymes. Science 356, 1288–1293 (2017). · DOI
  57. Brandon, E. P. et al. Defective motor behavior and neural gene expression in RIIbeta-protein kinase A mutant mice. J. Neurosci. 18, 3639–3649 (1998). · DOI
  58. Zimprich, A. et al. The PARK8 locus in autosomal dominant parkinsonism: confirmation of linkage and further delineation of the disease-containing interval. Am. J. Hum. Genet. 74, 11–19 (2004). · DOI
  59. Paisan-Ruiz, C. et al. Cloning of the gene containing mutations that cause PARK8-linked Parkinson’s disease. Neuron 44, 595–600 (2004). · DOI
  60. Piccoli, G. et al. LRRK2 controls synaptic vesicle storage and mobilization within the recycling pool. J. Neurosci. 31, 2225–2237 (2011). · DOI
  61. Shin, N. et al. LRRK2 regulates synaptic vesicle endocytosis. Exp. Cell Res. 314, 2055–2065 (2008). · DOI
  62. Matta, S. et al. LRRK2 controls an EndoA phosphorylation cycle in synaptic endocytosis. Neuron 75, 1008–1021 (2012). · DOI · Paper page
  63. Nguyen, M. & Krainc, D. LRRK2 phosphorylation of auxilin mediates synaptic defects in dopaminergic neurons from patients with Parkinson’s disease. Proc. Natl Acad. Sci. USA 115, 5576–5581 (2018). · DOI
  64. Islam, M. S. et al. Human R1441C LRRK2 regulates the synaptic vesicle proteome and phosphoproteome in a Drosophila model of Parkinson’s disease. Hum. Mol. Genet 25, 5365–5382 (2016).
  65. Pan, P. Y. et al. Parkinson’s disease-associated LRRK2 hyperactive kinase mutant disrupts synaptic vesicle trafficking in ventral midbrain neurons. J. Neurosci. 37, 11366–11376 (2017). · DOI · Paper page
  66. Kang, U. J. & Auinger, P., Parkinson Study Group, E. I. Activity enhances dopaminergic long-duration response in Parkinson disease. Neurology 78, 1146–1149 (2012). · DOI
  67. Koranda, J. L. et al. Chronic nicotine mitigates aberrant inhibitory motor learning induced by motor experience under dopamine deficiency. J. Neurosci. 36, 5228–5240 (2016). · DOI
  68. Surmeier, D. J., Ding, J., Day, M., Wang, Z. & Shen, W. D1 and D2 dopamine-receptor modulation of striatal glutamatergic signaling in striatal medium spiny neurons. Trends Neurosci. 30, 228–235 (2007). · DOI · Paper page
  69. Thach, W. T. What is the role of the cerebellum in motor learning and cognition? Trends Cogn. Sci. 2, 331–337 (1998). · DOI
  70. Orban, P. et al. The multifaceted nature of the relationship between performance and brain activity in motor sequence learning. Neuroimage 49, 694–702 (2010). · DOI
  71. Massengill, C. I. et al. Highly sensitive genetically-encoded sensors for population and subcellular imaging of cAMP in vivo. https://doi.org/10.1101/2021.08.27.457999 (2021). · DOI
  72. Muda, K. et al. Parkinson-related LRRK2 mutation R1441C/G/H impairs PKA phosphorylation of LRRK2 and disrupts its interaction with 14-3-3. Proc. Natl Acad. Sci. USA 111, E34–E43 (2014). · DOI
  73. Greggio, E., Bubacco, L. & Russo, I. Cross-talk between LRRK2 and PKA: implication for Parkinson’s disease? Biochem Soc. Trans. 45, 261–267 (2017). · DOI
  74. Cui, G. et al. Concurrent activation of striatal direct and indirect pathways during action initiation. Nature 494, 238–242 (2013). · DOI
  75. Nandhagopal, R. et al. Progression of dopaminergic dysfunction in a LRRK2 kindred: a multitracer PET study. Neurology 71, 1790–1795 (2008). · DOI
  76. Helmich, R. C. et al. Reorganization of corticostriatal circuits in healthy G2019S LRRK2 carriers. Neurology 84, 399–406 (2015). · DOI
  77. Vilas, D. et al. Clinical and imaging markers in premotor LRRK2 G2019S mutation carriers. Parkinsonism Relat. Disord. 21, 1170–1176 (2015). · DOI
  78. Gonzalez-Rodriguez, P. et al. Disruption of mitochondrial complex I induces progressive parkinsonism. Nature 599, 650–656 (2021). · DOI
  79. Hernandez, V. M. et al. Parvalbumin+ neurons and Npas1+ neurons are distinct neuron classes in the mouse external globus pallidus. J. Neurosci. 35, 11830–11847 (2015). · DOI
  80. Haber, S. N., Kim, K. S., Mailly, P. & Calzavara, R. Reward-related cortical inputs define a large striatal region in primates that interface with associative cortical connections, providing a substrate for incentive-based learning. J. Neurosci. 26, 8368–8376 (2006). · DOI · Paper page
  81. Elliott, R., Newman, J. L., Longe, O. A. & Deakin, J. F. Differential response patterns in the striatum and orbitofrontal cortex to financial reward in humans: a parametric functional magnetic resonance imaging study. J. Neurosci. 23, 303–307 (2003). · DOI
  82. Schultz, W., Tremblay, L. & Hollerman, J. R. Reward processing in primate orbitofrontal cortex and basal ganglia. Cereb. Cortex 10, 272–284 (2000). · DOI · Paper page
  83. Corlett, P. R. et al. Prediction error during retrospective revaluation of causal associations in humans: fMRI evidence in favor of an associative model of learning. Neuron 44, 877–888 (2004).
  84. McFarland, N. R. & Haber, S. N. Convergent inputs from thalamic motor nuclei and frontal cortical areas to the dorsal striatum in the primate. J. Neurosci. 20, 3798–3813 (2000). · DOI
  85. Lemos, J. C. et al. Enhanced GABA transmission drives bradykinesia following loss of dopamine D2 receptor signaling. Neuron 90, 824–838 (2016). · DOI
  86. Adrover, M. F., Shin, J. H. & Alvarez, V. A. Glutamate and dopamine transmission from midbrain dopamine neurons share similar release properties but are differentially affected by cocaine. J. Neurosci. 34, 3183–3192 (2014). · DOI
  87. Brundage, J. N. et al. Regional and sex differences in spontaneous striatal dopamine transmission. J. Neurochem. https://doi.org/10.1111/jnc.15473 (2021). · DOI
  88. Scott, J. D. et al. Discovery of a 3-(4-Pyrimidinyl) Indazole (MLi-2), an orally available and selective leucine-rich repeat kinase 2 (LRRK2) inhibitor that reduces brain kinase activity. J. Med Chem. 60, 2983–2992 (2017). · DOI
  89. He, Q. et al. Critical period inhibition of NKCC1 rectifies synapse plasticity in the somatosensory cortex and restores adult tactile response maps in fragile X mice. Mol. Psychiatry 24, 1732–1747 (2019). · DOI
  90. Streit, M. & Gehlenborg, N. Bar charts and box plots. Nat. Methods 11, 117 (2014). · DOI

Cited by

Sorted by citations

Metadata

Authors
Xenias, H. S., Chen, C., Kang, S., Cherian, S., Situ, X., Shanmugasundaram, B., Liu, G., Scesa, G., Chan, C. S., & Parisiadou, L.
Venue
Communications Biology
Published
2022-11-10
Volume
5
Issue
1
ISSN
2399-3642
Cited by
32
References
8
Language
en
Funders
  • U.S. Department of Health & Human Services | National Institutes of Health (R01 NS097901)
  • Michael J. Fox Foundation for Parkinson’s Research (020600)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review