Literature DB >> 26464968

The Polg Mutator Phenotype Does Not Cause Dopaminergic Neurodegeneration in DJ-1-Deficient Mice.

David N Hauser1, Christopher T Primiani1, Rebekah G Langston1, Ravindran Kumaran1, Mark R Cookson1.   

Abstract

Mutations in the DJ-1 gene cause autosomal recessive parkinsonism in humans. Several mouse models of DJ-1 deficiency have been developed, but they do not have dopaminergic neuron cell death in the substantia nigra pars compacta (SNpc). Mitochondrial DNA (mtDNA) damage occurs frequently in the aged human SNpc but not in the mouse SNpc. We hypothesized that the reason DJ-1-deficient mice do not have dopaminergic cell death is due to an absence of mtDNA damage. We tested this hypothesis by crossing DJ-1-deficient mice with mice that have similar amounts of mtDNA damage in their SNpc as aged humans (Polg mutator mice). At 1 year of age, we counted the amount of SNpc dopaminergic neurons in the mouse brains using both colorimetric and fluorescent staining followed by unbiased stereology. No evidence of dopaminergic cell death was observed in DJ-1-deficient mice with the Polg mutator mutation. Furthermore, we did not observe any difference in dopaminergic terminal immunostaining in the striatum of these mice. Finally, we did not observe any changes in the amount of GFAP-positive astrocytes in the SNpc of these mice, indicative of a lack of astrogliosis. Altogether, our findings demonstrate the DJ-1-deficient mice, Polg mutator mice, and DJ-1-deficient Polg mutator mice have intact nigrastriatal pathways. Thus, the lack of mtDNA damage in the mouse SNpc does not underlie the absence of dopaminergic cell death in DJ-1-deficient mice.

Entities:  

Keywords:  DJ-1; Polg mutator; mtDNA; neurodegeration; parkinsonism; substantia nigra

Year:  2015        PMID: 26464968      PMCID: PMC4586922          DOI: 10.1523/ENEURO.0075-14.2015

Source DB:  PubMed          Journal:  eNeuro        ISSN: 2373-2822


Significance Statement

Parkinson’s disease research has been hampered by the absence of animal models that replicate the disease phenotypes observed in humans. We hypothesized that the reason mice lacking DJ-1, a gene that causes parkinsonism when mutated, do not replicate the human phenotype is because mice do not have the same levels of mtDNA damage that humans do. We tested this hypothesis by crossing DJ-1-deficient mice with mice that develop similar amounts of mtDNA damage as humans. We found that the added stress of mtDNA damage does not cause the DJ-1-deficient mice to replicate the human phenotype. These data should be informative for the development of future animal models of Parkinson’s disease.

Introduction

Early onset autosomal recessive parkinsonism is caused by mutations in the parkin, PINK1, and DJ-1 genes (Kitada et al., 1998; Bonifati et al., 2003; Valente et al., 2004). PINK1 and parkin have been shown to maintain mitochondrial quality control (Corti and Brice, 2013). While the precise biological function of DJ-1 is unknown, it is known to respond to oxidative stress and defend against mitochondrial damage (Wilson, 2011). Since mitochondrial dysfunction and oxidative stress are features of Parkinson’s disease (PD) (Hauser and Hastings, 2013), studying the functions of PINK1, parkin, and DJ-1 may lead to insights about the pathogenesis of sporadic Parkinson’s disease. In the last decade, several independent lines of DJ-1 knockout mice have been generated and characterized by multiple groups (Chen et al., 2005; Goldberg et al., 2005; Kim et al., 2005; Manning-Boğ et al., 2007; Chandran et al., 2008; Pham et al., 2010; Rousseaux et al., 2012). In most cases, there was no evidence of dopaminergic cell death in the substantia nigra, with the exception of one of the more recent studies that observed it in a subset of DJ-1 mice (Rousseaux et al., 2012). The general lack of dopamine neuronal degeneration has also been reported for parkin knockout (Goldberg et al., 2003; Itier et al., 2003), PINK-1 knockout (Kitada et al., 2007), and triple DJ-1/parkin/PINK-1 knockout mice (Kitada et al., 2009). The reasons underlying the phenotypic discrepancies between mouse models of autosomal recessive parkinsonism and the humans that have these diseases are not known. It is possible that mouse substantia nigra pars compacta (SNpc) neurons deficient for the autosomal recessive PD genes do not degenerate because they are not exposed to the same types of stressors that human SNpc neurons are. One such stressor is mitochondrial DNA (mtDNA) damage, which accumulates with age at high levels in the human SNpc (Bender et al., 2006; Kraytsberg et al., 2006). Polg mutator mice develop mtDNA damage as they age due to a knock-in proofreading-deficient version of the mtDNA polymerase gamma (Kujoth et al., 2005). By the time they reach 1 year of age, ∼50% of mtDNA molecules found in SNpc neurons of the Polg mutator mice have deletions, which is comparable to that observed in the aged human SNpc (Bender et al., 2006; Kraytsberg et al., 2006; Perier et al., 2013). This increased mtDNA damage results in a decrease in the abundance of mitochondrial respiratory chain complex I subunits in Polg mutator brains (Hauser et al., 2014). Since DJ-1 protects against complex I inhibition both in vitro (Mullett and Hinkle, 2011) and in vivo (Kim et al., 2005), we hypothesized that increasing mtDNA damage in the DJ-1 knockout mouse SNpc would result in neurodegeneration. We tested this hypothesis by crossing DJ-1 knockout mice with Polg mutator mice.

Materials and Methods

DJ-1;Polg mice

This study was carried out in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. The protocol was approved by the Institutional Animal Care and Use Committees of the US National Institute of Child Health and Human Development (Animal study protocol number 12-059). The Polg mutator mice used in this study were originally described by Kujoth and colleagues (2005). DJ-1 knockout mice were generated and originally characterized by Chandran and colleagues (2008) and given to us after having been backcrossed at least two generations into C57BL/6J. We backcrossed the DJ-1 mice for an additional three generations into C57BL/6J prior to mating one DJ-1 mouse with one Polg mouse. DJ-1 mice were then bred with each other to produce the cohorts of mice used in this study. All of the mice were given access to food and water ad libitum. Four genotypes (DJ-1, DJ-1, DJ-1, and DJ-1) of mice were aged to at least 1 year (365-391 d, median 377 d) before transcardial perfusion. One male DJ-1 mouse and one male DJ-1 mouse were euthanized at the ages of 340 and 352 d, respectively, at the request of the veterinarians due to the severity of their phenotype. One female DJ-1 mouse was euthanized at 365 d at the request of the veterinarians due to an ear infection. These mice were not used for weight analysis or the pole test but were used for immunohistochemistry.

Pole Test

We performed the pole test as previously described (Ogawa et al., 1985; Matsuura et al., 1997). A wooden dowel (1 cm diameter, 0.5 m height) was mounted into a wooden base and the entire apparatus was placed into an empty mouse cage and covered with fresh bedding. The mice were placed at the top of the pole and video recorded as they descended. Several pretrials were done before a series of four to seven trials were recorded for each animal. Some animals were given an intraperitoneal injection of l-DOPA (25 mg/kg) and benserazide (5 mg/kg) after their first set of trials and then subjected to four to seven more trials 30 min following the injection. After all the mice had been tested, an operator that was blinded to both the genotype and drug treatment of the mice scored the video files. The operator recorded the time it took the mice to reach the floor of the cage after being placed atop the pole along with their method of doing so (Walk, Slide, Walk/Slide, or Fall). A mouse was judged to have fallen if it fell to the cage floor at any point of its descent.

Immunohistochemistry

Mice were transcardially perfused using PBS (1 min) and then 4% PFA in PBS (5 min). After perfusion, brains were removed and postfixed overnight in 4% PFA in PBS at 4 °C. The brains were then transferred into a solution of 30% w/v sucrose in PBS that was supplemented with 0.05% sodium azide and stored at 4 °C until the brains had sunk to the bottom of the containers. Each brain was then bisected along the longitudinal fissure and the left hemisphere was sectioned on a cryostat into 40-μm-thick sections. Slices that included the midbrain were collected and stored individually, while sections rostral and caudal to the midbrain were stored in groups. For stereology, every fourth section through the midbrain was stained for glial fibrillary acidic protein (GFAP) and/or tyrosine hydroxylase (TH) immunoreactivity using a free-floating procedure in which all steps were performed on a rotating shaker (∼250 rpm). For the 3,3′-diaminobenzadine (DAB) staining protocol, the sections were incubated in 0.3% hydrogen peroxide in PBS for 20 min at room temperature (RT) then washed three times with PBS. Sections were blocked for 1 h at RT in blocking buffer [PBS supplemented with 1% w/v bovine serum albumin (BSA), 0.3% Triton X-100, and 1% donkey serum], which was also used to dilute primary and secondary antibodies in subsequent steps. Sections were then incubated overnight in primary TH antibody (PelFreez # P40101, rabbit polyclonal, 1:2000 dilution) at 4 °C. The next day, sections were left in primary antibody for 1 h at RT then washed with PBS three times for 5 min. A biotinylated secondary antibody (Vector Labs #BA1100, horse anti-rabbit IgG, 1:500 dilution) was incubated with the sections for 1 h at RT then the slices were washed three times for 5 min with PBS. The sections were then exposed to 0.3% hydrogen peroxide in PBS for 20 min then washed again with PBS three times for 5 min each. The slices were then incubated with a mixture of avidin and biotinylated horseradish peroxidase (Vector Labs Vectastain Universal Elite ABC kit, product #PK-6200) for 20 min at RT then washed three times with PBS for 10 min per wash. To complete the staining procedure, the slices were incubated with a DAB peroxidase substrate (Vector Labs # SK-4100) for 5 min and washed with PBS. Finally, the sections were mounted onto slides and dehydrated with a series of ethanol washes followed by two washes in xylenes, and then coverslips were added using Eukitt mounting media. For the fluorescent staining protocol, the sections were washed with 1× PBS three times each for 10 min at room temperature on shaker. Sections were blocked for 1 h at RT in blocking buffer (PBS supplemented with 1% w/v BSA, 0.3% Triton X-100, and 1% v/v donkey serum), which was used to dilute primary and secondary antibodies in later steps. Sections were then incubated overnight in primary TH antibody (PelFreez # P40101, rabbit polyclonal, 1:2000 dilution) and GFAP antibody (BD Pharmingen #556329, mouse monoclonal, 1:1000 dilution) at 4 °C. The following day, sections were rinsed in 1× PBS three times for 10 min each. Two secondary antibodies were incubated with the sections (Alexa Fluor #A21206, 488 donkey anti-rabbit IgG, 1:500 dilution; and Alexa Fluor #A10037, 568 donkey anti-mouse IgG, 1:500 dilution) for 2 h at RT and protected from light. The slices were then washed three times for 10 min each in 1× PBS before being mounted on glass slides using Prolong Gold mounting media. Stereology was performed on a Zeiss Axio Imager A1 microscope running Stereo Investigator software (MBF Biosciences). An operator blinded to the genotype of each sample operated the microscope and performed stereology. Unbiased counting of the SNpc TH- and GFAP-positive cells was accomplished using the software’s optical fractionator protocol. As only the SNpc of the left hemisphere was analyzed, the cell counts were multiplied by two to estimate whole-brain SNpc cell numbers. In order to determine striatal TH terminal density, three sections through the striatum were stained per animal, with one DJ-1 animal removed from this analysis because its striatum was sectioned at a different thickness than all other animals. The sections were stained for TH as described above, except in this case a different secondary antibody was used (Jackson ImmunoResearch #711-655-152, Alexa-Fluor 790 AffiniPure Donkey anti-rabbit IgG, 1:1000). To quantitatively image the sections, all of the slides were scanned at once using an Odyssey CLx imaging system. The highest resolution (21 μm) and scan quality settings were used, and the system’s automatic intensity feature was employed to avoid pixel saturation. The signal intensity was measured inside an equally sized circle placed approximately in the same area of the dorsal striatum of each slice. The mean intensity of the sections from each animal was used for comparisons.

Statistics

Post hoc power analysis was done using the “pwr” package in R (http://www.R-project.org/). Sample sizes were the minimum group size, the effect size was 0.25 (Cohen, 1988), and the p values calculated from the ANOVA or χ2 tests were used to determine post hoc power values. These values are reported in Table 1.
Table 1

Statistical table

Data structureType of testPower (f = 0.25)
aΧ20.999
bN too small to determine if normally distributedOne-way ANOVA0.0001
cN too small to determine if normally distributedOne-way ANOVA0.471
dN too small to determine if normally distributed for 3 of 4 genotypes. The fourth genotype with 8 animals is normally distributed.One-way ANOVA0.274
eN too small to determine if normally distributed for 3 of 4 genotypes. The fourth genotype with 8 animals is normally distributed.One-way ANOVA0.632
fN too small to determine if normally distributed for 3 of 4 genotypes. The fourth genotype with 8 animals is normally distributed.One-way ANOVA0.493
gN too small to determine if normally distributed for 3 of 4 genotypes. The fourth genotype with 8 animals is normally distributed.One-way ANOVA0.350

Post hoc power calculations for each statistical test reported are recorded in this table. To calculate post hoc power, we used an effect size of 0.25, a sample size that was the minimum group size, and the actual p value returned by the indicated test. For almost all instances, we were unable to formally test whether the data were normally distributed because the sample size was not 8 or greater. Superscript letters in the figure legends refer to the first column of the table.

Statistical table Post hoc power calculations for each statistical test reported are recorded in this table. To calculate post hoc power, we used an effect size of 0.25, a sample size that was the minimum group size, and the actual p value returned by the indicated test. For almost all instances, we were unable to formally test whether the data were normally distributed because the sample size was not 8 or greater. Superscript letters in the figure legends refer to the first column of the table.

Results

We bred double heterozygous DJ-1 mice and analyzed the birth rates of the resulting nine genotypes (Fig. 1). All of the genotypes were born at the anticipated Mendellian ratios (Fig. 1). From the nine possible genotypes of mice, we used the four double homozygous genotypes for subsequent analysis. We aged a cohort of 27 mice (Table 2) for ∼1 year in order to maximize the aging effect of the Polg phenotype. We note that this approaches the maximum lifespan of these animals as the Polg genotype causes severe weight loss as the animals approach 1 year of age (Kujoth et al., 2005). We weighed our animals after they had reached a year of age to determine if the loss of DJ-1 had any effect on the weight loss phenotype cause by Polg mutation (Fig. 1). In both males and females, we observed weight loss in the Polg mutator animals consistent with previous results (Kujoth et al., 2005). However, in the females, we observed no difference between the Polg mutator mice with and without DJ-1 (Fig. 1). Our cohort did not have enough males to allow for statistical analysis, but the trend of no difference was also apparent in the males (Fig. 1).
Figure 1

Generation of DJ-1 knockout Polg mutator mice. Double heterozygous mice were bred to generate the four genotypes of mice used in this study. The number of viable pups born from double heterozygous breeding is shown. A χ2 test was used to determine that the observed proportions did not differ from the expected proportions (n = 208 mice, p = 0.901)a. The weights of female mice at one year of age are displayed. The groups were compared with ANOVA (F(3,9) = 29.17, p = 0.00005745)b followed by Tukey’s multiple comparison test (*p < 0.05 vs DJ-1, $p < 0.05 vs DJ-1). The weights of male mice at 1 year of age.

Table 2

Genotypes and genders of the cohort of mice used for experiments

DJ-1PolgMaleFemaleTotal
+/+WT/WT156
−/−WT/WT347
+/+MT/MT336
−/−MT/MT538

The genotype and gender of the cohort of 27 mice used for experiments are recorded in the table.

Generation of DJ-1 knockout Polg mutator mice. Double heterozygous mice were bred to generate the four genotypes of mice used in this study. The number of viable pups born from double heterozygous breeding is shown. A χ2 test was used to determine that the observed proportions did not differ from the expected proportions (n = 208 mice, p = 0.901)a. The weights of female mice at one year of age are displayed. The groups were compared with ANOVA (F(3,9) = 29.17, p = 0.00005745)b followed by Tukey’s multiple comparison test (*p < 0.05 vs DJ-1, $p < 0.05 vs DJ-1). The weights of male mice at 1 year of age. Genotypes and genders of the cohort of mice used for experiments The genotype and gender of the cohort of 27 mice used for experiments are recorded in the table. In order to determine if any of the mice had motor impairments that could be indicative of dopamine cell loss, we tested them using the pole test. During this test, the mouse is placed atop a vertical pole and observed as it descends the pole. Mice with SNpc dopamine cell loss caused by 6-hydroxydopamine or 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine spend significantly longer amounts of time at the top of the pole (Ogawa et al., 1985; Matsuura et al., 1997). Importantly, the behavior of mice lesioned by either drug can be rescued by administration of l-DOPA, which demonstrates that this test is sensitive to dopamine levels (Ogawa et al., 1985; Matsuura et al., 1997). When we tested our mice using this assay, we noticed that mice with the Polg mutator mutation tended to slide down or fall off of the pole but did not freeze at the top (Fig. 2). Videos of a DJ-1 mouse and a DJ-1 mouse performing the task correctly by reorienting themselves and walking down the pole are shown in Movies 1 and 2, respectively. A DJ-1 mouse sliding down the pole and a DJ-1 falling from the pole can be seen in Movies 3 and 4. When we compared the duration it took the mice to descend, regardless of falls and slides, we found that there was no difference between the genotypes (Fig. 2). This likely reflects the different means by which the animals descended. To determine if dopamine depletion was the underlying reason that the Polg mutator genotypes tended to slide and fall, we gave several of them l -DOPA to increase dopamine levels in their brains and tested them again. We found that l -DOPA did not prevent the mice from sliding or falling during the task (Movies 5,6; Fig. 2). Thus, the inability of Polg mutator mice, regardless of DJ-1 genotype, to perform the pole test correctly was likely not due to dopamine deficiency.
Figure 2

Behavioral characterization using the pole test. , The mice were tested for behavioral deficits using the pole test and the method of descent for each mouse during each of their trials is displayed. Each bar represents an individual animal, and the methods of descent from four to seven trials are reported as a proportion within the bar. The mean time to descend the pole for each mouse is displayed (n = 4-7 mice per genotype, n = 4-7 trials per mouse, ANOVA F(3,19) = 1.171, p = 0.347)c. Following their first set of trials on the pole test, three mice in the DJ-1 group and three mice in the DJ-1 were given l-DOPA and retested 30 min later. The results of the test before and after l -DOPA are displayed with each bar representing an individual animal (n = 4-7 trials).

Behavioral characterization using the pole test. , The mice were tested for behavioral deficits using the pole test and the method of descent for each mouse during each of their trials is displayed. Each bar represents an individual animal, and the methods of descent from four to seven trials are reported as a proportion within the bar. The mean time to descend the pole for each mouse is displayed (n = 4-7 mice per genotype, n = 4-7 trials per mouse, ANOVA F(3,19) = 1.171, p = 0.347)c. Following their first set of trials on the pole test, three mice in the DJ-1 group and three mice in the DJ-1 were given l-DOPA and retested 30 min later. The results of the test before and after l -DOPA are displayed with each bar representing an individual animal (n = 4-7 trials). Pole test of a DJ-1 mouse. The mouse performed the task correctly be reorienting itself and walking down the pole. Pole test of a DJ-1 mouse. This mouse performed the task correctly by walking down the pole. Pole test of a DJ-1 mouse. The mouse did not perform the task correctly because it did not orient itself downwards and because it slid down the pole. Pole test of a DJ-1 mouse. The mouse did not perform the task correctly because it fell from the top of the pole. Pole test of a DJ-1 mouse given l-DOPA. This mouse (also shown in Movie 3) was given l -DOPA 30 min prior to the test. It did not perform the task correctly, but instead slid down the pole. Pole test of a DJ-1 mouse given l -DOPA. This mouse (also shown in Movie 4) was tested 30 min after l -DOPA administration. It did not perform the task correctly, but instead fell from the top of the pole. After all of the mice had been perfused, we determined the integrity of their nigrastriatal axis using several measures. First, we counted the number of dopaminergic neurons in the SNpc using unbiased stereology. The staining and counting was done blindly, and a prospective power analysis calculated that our study design had a power of 95.5% to detect a 25% change in SNpc TH-positive cells. We performed the stereology experiment twice, once with a colored DAB stain (Fig. 3) to mark TH-positive neurons and then once with fluorescent detection (Fig. 3) using a separate group of tissue sections. We reasoned that doing the stereology using two different methods would decrease the likelihood of detecting any false positives. In both experiments, we did not detect any difference in the numbers of SNpc dopaminergic cells between the genotypes of mice.
Figure 3

Stereological counts of dopaminergic neurons in the SNpc. Unbiased stereology was performed by a blinded observer to count the number of dopaminergic neurons in the SNpc of the mice after that had reached a year of age. Two separate experiments were performed to analyze the same set of brains. TH immunoreactive cells in the midbrain stained brown using DAB (scale bars, 200 μm). DAB-stained cell counts for each animal (red circles) along with mean and SEM of each group (n = 6-8 mice per genotype, ANOVA F(3,23) = 2.072, p = 0.1318)d. TH immunoreactive cells were detected in the midbrain using fluorescence (TH = green; scale bars, 500 μm). The numbers of SNpc dopaminergic neurons counted using stereology for each animal (red circles) are shown with mean and SEM (n = 6-8 mice per group, ANOVA F(3,23) = 0.9124, p = 0.4504)e.

Stereological counts of dopaminergic neurons in the SNpc. Unbiased stereology was performed by a blinded observer to count the number of dopaminergic neurons in the SNpc of the mice after that had reached a year of age. Two separate experiments were performed to analyze the same set of brains. TH immunoreactive cells in the midbrain stained brown using DAB (scale bars, 200 μm). DAB-stained cell counts for each animal (red circles) along with mean and SEM of each group (n = 6-8 mice per genotype, ANOVA F(3,23) = 2.072, p = 0.1318)d. TH immunoreactive cells were detected in the midbrain using fluorescence (TH = green; scale bars, 500 μm). The numbers of SNpc dopaminergic neurons counted using stereology for each animal (red circles) are shown with mean and SEM (n = 6-8 mice per group, ANOVA F(3,23) = 0.9124, p = 0.4504)e. In some instances of damage to the nigrastriatal axis, such as methamphetamine toxicity, the cell bodies of SNpc dopaminergic neurons remain alive while their nerve terminals in the striatum degenerate (Ricaurte et al., 1982). To determine if there was any dopaminergic terminal degeneration in any of our mice, we immunostained sections through their striata for TH and quantified the stain intensity using an infrared imaging system. Using this assay, we were unable to detect any changes in striatal TH intensity amongst any of our groups of mice (Fig. 4).
Figure 4

Dopaminergic terminal density in the striatum. , Representative TH-stained tissue sections through the striatum. The sections were immunostained using an infrared fluorescent dye conjugated secondary antibody and imaged using an infrared imaging system. The sections are pseudo-colored using a heat map, with warmer colors indicating strong TH immunoreactivity. , Striatal TH staining intensity calculated from infrared imaged tissues. Individual data points represent animals and the mean and SEM are also displayed (three sections per animal were averaged, n = 5-8 animals, ANOVA F(3,22) = 1.189, p = 0.3369)f.

Dopaminergic terminal density in the striatum. , Representative TH-stained tissue sections through the striatum. The sections were immunostained using an infrared fluorescent dye conjugated secondary antibody and imaged using an infrared imaging system. The sections are pseudo-colored using a heat map, with warmer colors indicating strong TH immunoreactivity. , Striatal TH staining intensity calculated from infrared imaged tissues. Individual data points represent animals and the mean and SEM are also displayed (three sections per animal were averaged, n = 5-8 animals, ANOVA F(3,22) = 1.189, p = 0.3369)f. Altogether, our data demonstrates that the nigrastriatal axis is intact in aged Polg mutator mice with DJ-1 deficiency. Since DJ-1 is known to be expressed in astrocytes (Bandopadhyay et al., 2004), we considered whether or not our mice would have phenotypes that manifest themselves in astrocytes. To determine this, we chose to examine the SNpc for astrogliosis as indicated by increased GFAP immunoreactivity. We found no difference when we compared the numbers of GFAP-positive astrocytes in the SNpc between the genotypes (Fig. 5). Therefore, the Polg mutator mutation in DJ-1-deficient mice does not cause increased astrogliosis in the SNpc.
Figure 5

Detection of astrogliosis in the SNpc. GFAP-positive astrocytes were immunostained in the SNpc (outlined in white) and surrounding tissue (GFAP = red; scale bars, 500 μm). Unbiased stereology was used to count GFAP-positive cells in the SNpc simultaneously with the TH cells counts shown in Figure 3B. GFAP-positive SNpc cell counts per animal (red circles) along with mean and SEM are displayed in the graph (ANOVA F(3,23) = 1.744, p = 0.1860)g.

Detection of astrogliosis in the SNpc. GFAP-positive astrocytes were immunostained in the SNpc (outlined in white) and surrounding tissue (GFAP = red; scale bars, 500 μm). Unbiased stereology was used to count GFAP-positive cells in the SNpc simultaneously with the TH cells counts shown in Figure 3B. GFAP-positive SNpc cell counts per animal (red circles) along with mean and SEM are displayed in the graph (ANOVA F(3,23) = 1.744, p = 0.1860)g.

Discussion

We hypothesized that crossing DJ-1-deficient mice with Polg mutator mice in order to increase mtDNA damage in their substantia nigra would result in the degeneration of dopaminergic neurons. Using a cohort of mice designed to test this hypothesis with sufficient statistical power, we were able to demonstrate that our hypothesis was false. We also found that the loss of DJ-1 had no effect on the weight phenotype of the Polg mutator mice, that none of the nine possible combinations of DJ-1 and Polg genotypes were embryonic lethal, and that there was not increased astrogliosis in the Polg mutator DJ-1-deficient mouse SNpc. Our results are similar to other studies that have crossed DJ-1 knockout mice with other knockout mice. The triple knockout of DJ-1/parkin/PINK-1 had no effect on SNpc cell numbers in mice up to 24 months of age (Kitada et al., 2009). Similarly, crossing DJ-1/parkin knockout mice with GPx1 knockout mice did not result in SNpc degeneration at 18 months of age (Hennis et al., 2014). Likewise, no effect on dopaminergic cell numbers was observed when DJ-1/parkin knockout mice were crossed with mice deficient for either SOD1 or SOD2 and aged to at least 16 months (Hennis et al., 2013). Two studies have analyzed the nigrastriatal axis in aged Polg mutator mice (Dai et al., 2013; Perier et al., 2013). While both studies found no degeneration of SNpc dopaminergic neuron cell bodies, they reported conflicting results for striatal TH terminal density. One reported a decrease in striatal TH staining in aged Polg mutator mice (Dai et al., 2013), while the other did not observe a change in striatal TH (Perier et al., 2013). In our cohort of animals, the Polg mutator genotype did not cause SNpc cell loss nor did it cause the loss of striatal TH terminals. Previous studies have shown that aged Polg mutator mice accumulate SNpc mtDNA deletions to a similar extent as that found in the SNpc in both PD patients and aged neurologically normal controls (∼50% of mtDNA molecules harboring deletions) (Bender et al., 2006; Kraytsberg et al., 2006; Perier et al., 2013). In addition, our analysis of the brains of aged Polg mutator mice from our own colony demonstrated a loss of respiratory chain proteins, which is indicative of mtDNA damage (Hauser et al., 2014). Since the experiments reported here required the use of fixed tissue, measuring the amount of mtDNA damage in the SNpc of our mice could not be done and is an important future experiment. We note that the Polg mutator mice with and without DJ-1 all developed the premature aging phenotype and the body weights between these two groups were similar (Fig. 1). This suggests that the absence of DJ-1 was unlikely to have strongly accelerated mtDNA damage caused by the Polg mutation, although we cannot exclude a more subtle effect. Regardless, whatever the level of mtDNA damage that had occurred in these animals, it was not sufficient to induce dopaminergic cell death. Whether or not other genetic manipulations combined with the loss of DJ-1 lead to SNpc degeneration in mice should be the subject of future studies.
  30 in total

1.  Pole test is a useful method for evaluating the mouse movement disorder caused by striatal dopamine depletion.

Authors:  K Matsuura; H Kabuto; H Makino; N Ogawa
Journal:  J Neurosci Methods       Date:  1997-04-25       Impact factor: 2.390

2.  Mitochondrial DNA mutations, oxidative stress, and apoptosis in mammalian aging.

Authors:  G C Kujoth; A Hiona; T D Pugh; S Someya; K Panzer; S E Wohlgemuth; T Hofer; A Y Seo; R Sullivan; W A Jobling; J D Morrow; H Van Remmen; J M Sedivy; T Yamasoba; M Tanokura; R Weindruch; C Leeuwenburgh; T A Prolla
Journal:  Science       Date:  2005-07-15       Impact factor: 47.728

3.  Behavioral and metabolic characterization of heterozygous and homozygous POLG mutator mice.

Authors:  Ying Dai; Tomas Kiselak; Joanne Clark; Elizabeth Clore; Kangni Zheng; Allen Cheng; Gregory C Kujoth; Tomas A Prolla; Eleftheria Maratos-Flier; David K Simon
Journal:  Mitochondrion       Date:  2013-03-27       Impact factor: 4.160

4.  Mutations in the parkin gene cause autosomal recessive juvenile parkinsonism.

Authors:  T Kitada; S Asakawa; N Hattori; H Matsumine; Y Yamamura; S Minoshima; M Yokochi; Y Mizuno; N Shimizu
Journal:  Nature       Date:  1998-04-09       Impact factor: 49.962

5.  Nigrostriatal dopaminergic deficits and hypokinesia caused by inactivation of the familial Parkinsonism-linked gene DJ-1.

Authors:  Matthew S Goldberg; Antonio Pisani; Marian Haburcak; Timothy A Vortherms; Tohru Kitada; Cinzia Costa; Youren Tong; Giuseppina Martella; Anne Tscherter; Andrea Martins; Giorgio Bernardi; Bryan L Roth; Emmanuel N Pothos; Paolo Calabresi; Jie Shen
Journal:  Neuron       Date:  2005-02-17       Impact factor: 17.173

Review 6.  Mitochondrial quality control turns out to be the principal suspect in parkin and PINK1-related autosomal recessive Parkinson's disease.

Authors:  Olga Corti; Alexis Brice
Journal:  Curr Opin Neurobiol       Date:  2012-11-30       Impact factor: 6.627

7.  Mutations in the DJ-1 gene associated with autosomal recessive early-onset parkinsonism.

Authors:  Vincenzo Bonifati; Patrizia Rizzu; Marijke J van Baren; Onno Schaap; Guido J Breedveld; Elmar Krieger; Marieke C J Dekker; Ferdinando Squitieri; Pablo Ibanez; Marijke Joosse; Jeroen W van Dongen; Nicola Vanacore; John C van Swieten; Alexis Brice; Giuseppe Meco; Cornelia M van Duijn; Ben A Oostra; Peter Heutink
Journal:  Science       Date:  2002-11-21       Impact factor: 47.728

8.  Impaired dopamine release and synaptic plasticity in the striatum of PINK1-deficient mice.

Authors:  Tohru Kitada; Antonio Pisani; Douglas R Porter; Hiroo Yamaguchi; Anne Tscherter; Giuseppina Martella; Paola Bonsi; Chen Zhang; Emmanuel N Pothos; Jie Shen
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-11       Impact factor: 11.205

9.  DJ-1-deficient mice show less TH-positive neurons in the ventral tegmental area and exhibit non-motoric behavioural impairments.

Authors:  T T Pham; F Giesert; A Röthig; T Floss; M Kallnik; K Weindl; S M Hölter; U Ahting; H Prokisch; L Becker; T Klopstock; M Hrabé de Angelis; K Beyer; K Görner; P J Kahle; D M Vogt Weisenhorn; W Wurst
Journal:  Genes Brain Behav       Date:  2009-12-17       Impact factor: 3.449

10.  The expression of DJ-1 (PARK7) in normal human CNS and idiopathic Parkinson's disease.

Authors:  Rina Bandopadhyay; Ann E Kingsbury; Mark R Cookson; Andrew R Reid; Ian M Evans; Andrew D Hope; Alan M Pittman; Tammaryn Lashley; Rosa Canet-Aviles; David W Miller; Chris McLendon; Catherine Strand; Andrew J Leonard; Patrick M Abou-Sleiman; Daniel G Healy; Hiroyashi Ariga; Nicholas W Wood; Rohan de Silva; Tamas Revesz; John A Hardy; Andrew J Lees
Journal:  Brain       Date:  2003-12-08       Impact factor: 13.501

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  6 in total

Review 1.  Historical Perspective: Models of Parkinson's Disease.

Authors:  Shyh Jenn Chia; Eng-King Tan; Yin-Xia Chao
Journal:  Int J Mol Sci       Date:  2020-04-02       Impact factor: 5.923

Review 2.  Targeting mitophagy in Parkinson's disease.

Authors:  Emily H Clark; Aurelio Vázquez de la Torre; Tamaki Hoshikawa; Thomas Briston
Journal:  J Biol Chem       Date:  2020-12-24       Impact factor: 5.157

Review 3.  Mitochondrial Dysfunction in Parkinson's Disease: Focus on Mitochondrial DNA.

Authors:  Olga Buneeva; Valerii Fedchenko; Arthur Kopylov; Alexei Medvedev
Journal:  Biomedicines       Date:  2020-12-10

4.  Hexokinases link DJ-1 to the PINK1/parkin pathway.

Authors:  David N Hauser; Adamantios Mamais; Melissa M Conti; Christopher T Primiani; Ravindran Kumaran; Allissa A Dillman; Rebekah G Langston; Alexandra Beilina; Joseph H Garcia; Alberto Diaz-Ruiz; Michel Bernier; Fabienne C Fiesel; Xu Hou; Wolfdieter Springer; Yan Li; Rafael de Cabo; Mark R Cookson
Journal:  Mol Neurodegener       Date:  2017-09-29       Impact factor: 14.195

5.  Calorie restriction does not influence oocyte quality in oocytes from POLG mitochondrial mutator mice.

Authors:  Christine Faraci; Joyce Jin; Dori C Woods
Journal:  PLoS One       Date:  2018-09-21       Impact factor: 3.240

6.  Mitochondrial DNA mutation exacerbates female reproductive aging via impairment of the NADH/NAD+ redox.

Authors:  Liang Yang; Xiaobing Lin; Haite Tang; Yuting Fan; Sheng Zeng; Lei Jia; Yukun Li; Yanan Shi; Shujing He; Hao Wang; Zhijuan Hu; Xiao Gong; Xiaoyan Liang; Yi Yang; Xingguo Liu
Journal:  Aging Cell       Date:  2020-08-03       Impact factor: 9.304

  6 in total

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