Abstract
Alpha-synuclein (αsyn) is the key component of proteinaceous aggregates termed Lewy Bodies that pathologically define a group of disorders known as synucleinopathies, including Parkinson’s Disease (PD) and Dementia with Lewy Bodies. αSyn is hypothesized to misfold and spread throughout the brain in a prion-like fashion. Transmission of αsyn necessitates the release of misfolded αsyn from one cell and the uptake of that αsyn by another, in which it can template the misfolding of endogenous αsyn upon cell internalization. 14-3-3 proteins are a family of highly expressed brain proteins that are neuroprotective in multiple PD models. We have previously shown that 14-3-3θ acts as a chaperone to reduce αsyn aggregation, cell-to-cell transmission, and neurotoxicity in the in vitro pre-formed fibril (PFF) model. In this study, we expanded our studies to test the impact of 14-3-3s on αsyn toxicity in the in vivo αsyn PFF model. We used both transgenic expression models and adenovirus associated virus (AAV)-mediated expression to examine whether 14-3-3 manipulation impacts behavioral deficits, αsyn aggregation, and neuronal counts in the PFF model. 14-3-3θ transgene overexpression in cortical and amygdala regions rescued social dominance deficits induced by PFFs at 6 months post injection, whereas 14-3-3 inhibition by transgene expression of the competitive 14-3-3 peptide inhibitor difopein in the cortex and amygdala accelerated social dominance deficits. The behavioral rescue by 14-3-3θ overexpression was associated with delayed αsyn aggregation induced by PFFs in these brain regions. Conversely, 14-3-3 inhibition by difopein in the cortex and amygdala accelerated αsyn aggregation and reduction in NECAB1-positive neuron counts induced by PFFs. 14-3-3θ overexpression by AAV in the substantia nigra (SN) also delayed αsyn aggregation in the SN and partially rescued PFF-induced reduction in tyrosine hydroxylase (TH)-positive dopaminergic cells in the SN. 14-3-3 inhibition in the SN accelerated nigral αsyn aggregation and enhanced PFF-induced reduction in TH-positive dopaminergic cells. These data indicate a neuroprotective role for 14-3-3θ against αsyn toxicity in vivo.
Keywords: 14-3-3s, Alpha-synuclein, Parkinson’s disease, Dementia with Lewy Bodies, Substantia nigra, Amygdala, Cortex, Mouse
Introduction
Alpha-synuclein (αsyn) is a critical protein whose aggregation and transmission from cell to cell has been implicated in the neurodegenerative process in Parkinson’s disease (PD) and Dementia with Lewy Bodies (DLB). αSyn is a highly expressed brain protein whose endogenous function is not well understood but likely includes regulation of synaptic transmission [1–3]. Thorough understanding of the mechanisms that regulate the aggregation, transmission, and toxicity of this protein could lead to new targets for therapeutic intervention in these disorders. We recently observed that the chaperone-like protein 14-3-3θ is a critical regulator of the release, oligomerization, and toxicity of αsyn in several cellular models [4]. 14-3-3θ is a member of the highly homologous 14-3-3 protein family, which are multifunctional proteins that play a role in protein folding, protein trafficking, neurite growth, and cell survival among other cellular roles [5–11]. 14-3-3θ is found to be colocalized with αsyn in Lewy Bodies in both PD and DLB [12, 13]. We have observed a reduction in 14-3-3θ expression in transgenic αsyn mice and in soluble 14-3-3 levels in DLB brains [14–17]. Additionally, aberrant phosphorylation of 14-3-3θ has been noted in both PD and DLB brains [15]. 14-3-3θ overexpression protects against both neurotoxin and mutant LRRK2 toxicity, while 14-3-3 inhibition increases toxicity [6, 17–19].
Given 14-3-3s’ roles in protein folding and trafficking, we recently examined the impact of 14-3-3s on αsyn cell-to-cell transmission and toxicity in two separate cellular models: the paracrine αsyn model and the in vitro αsyn fibril model [4]. We found that 14-3-3θ reduces αsyn transfer and toxicity by inhibiting αsyn oligomerization, seeding, and internalization, whereas 14-3-3 inhibition accelerates the αsyn seeding and cell-to-cell transmission in these cellular models [4]. In the study described here, we expanded our work to examine the impact of 14-3-3θ on αsyn toxicity in vivo using the αsyn preformed fibril (PFF) model. Here we describe the effect of 14-3-3θ overexpression or 14-3-3 inhibition on behavioral deficits, αsyn inclusion formation, and neuronal numbers in the PFF model. We observed that 14-3-3θ overexpression reduced social dominance deficits, delayed αsyn inclusion formation, and rescued reductions in tyrosine hydroxylase (TH)-positive neuronal counts, while pan 14-3-3 inhibition with the peptide inhibitor difopein accelerated behavioral deficits, αsyn inclusion formation, and reductions in neuronal counts in the PFF model.
Material and methods
Mice
Mice were used in accordance with the guidelines of the National Institute of Health (NIH) and University of Alabama at Birmingham (UAB) Institutional Animal Care and Use Committee (IACUC). All animal work performed in this study was approved by UAB’s IACUC. Transgenic mice expressing human 14-3-3θ under the neuronal promoter Thy1.2 were previously developed by our group [4, 6]. Transgenic mice expressing difopein-enhanced yellow fluorescent protein (eYFP) under the neuronal promoter Thy1.2 were obtained from Dr. Yi Zhou at Florida State University [20]. 14-3-3θ hemizygous mice were crossed with C57BL/6 J mice from The Jackson Laboratory (catalog #000664; RRID: IMSR_JAX:000664) to produce 14-3-3θ transgenic and wildtype littermate mice for stereotactic injections. Difopein hemizygous mice were also crossed separately with C57BL/6 J mice to produce difopein transgenic and wildtype littermate mice for stereotactic injections. C57BL/6 J mice from The Jackson Laboratory (catalog #000664; RRID: IMSR_JAX:000664) were purchased and homozygous bred to produce wildtype (WT) mice for AAV experiments.
Fibril preparation
Recombinant full-length mouse αsyn protein was prepared as previously described and generously supplied by Dr. Laura Volpicelli-Daley and Dr. Andrew West [21, 22]. Before stereotaxic injection in mice, fibrils were generated by incubating purified mouse monomeric αsyn at a concentration of 5 mg/ml in 50 mM Tris (pH 7.4) with 166 mM KCl with constant agitation at 700 rpm at 37 °C for 7 days. Immediately prior to injection, αsyn fibrils were sonicated with a water bath sonicator (QSonica, Newton CT) with 1 s sonication pulses separated by 1 s wait intervals, with every 15 s of sonication separated by 2 min for the total duration of 1 h at A = 30 at 4 °C. For verification of fibril quality, sonicated αsyn fibrils were analyzed by dynamic light scattering (DLS) on a DynaPro NanoStar (Wyatt Technology, Santa Barbara CA) every morning of injection to ensure sonicated fibril average radius was between 20–50 nm prior to injection (Additional file 1: Figure S1). A subset of unsonicated and sonicated fibrils were examined by transmission electron microscopy (TEM) to confirm fibrillar size and morphology (Additional file 1: Figure S1).
AAV preparation and injection
AAV2/CBA-IRES2-eGFP-WPRE (AAV-GFP) and AAV2/CBA-14-3-3θ-V5-his-IRES-eGFP-WPRE (AAV-14-3-3θ) were constructed as previously described [18, 23]. Equal numbers of male and female C57BL/6 mice from Jackson Laboratories were deeply anesthetized with 5% isoflurane and maintained at 0.25%-4% during surgery for stereotactic injection at 8 weeks with AAV into the SN [anteroposterior (AP): − 3.0 from bregma; mediolateral (ML): − 1.3 from midline; dorsoventral (DV): − 4.6 below dura]. Mice were injected with 2 µl of either AAV-GFP (titer: 1.8E + 12 vg/ml, viral genomes/ml) or AAV-14-3-3θ (titer: 7.0E + 11 vg/ml) at a rate of 0.25 µl/min using a microinjection pump.
Stereotactic injections of PFFs
Equal numbers of male and female mice at 8–12 weeks of age were deeply anesthetized with 5% isoflurane and maintained at 0.25–4% during surgery for PFF injection. WT mice injected with AAV-GFP or AAV-14-3-3θ/GFP at 8 weeks of age were then injected at 12 weeks of age with PFFs. 14-3-3θ, difopein, or WT littermates were injected at 8–12 weeks of age with PFFs. Mice were unilaterally injected with 5 µg of αsyn fibrils or monomer (2 µl of 2.5 mg/ml) at a flow rate of 0.250 µl/minute into the dorsolateral striatum (AP: 0.2 mm from bregma; ML: − 2 mm from midline; DV: − 2.6 mm below dura), according to a previously established protocol [24]. Post-surgery mice were allowed a minimum of 15 min recovery time on a heating pad. All mice were observed until fully awake and non-drowsy to ensure successful recovery. Mice were given buprenorphine (1 mg/kg) 20 min prior to surgery and the day after to minimize pain and discomfort.
Immunohistochemistry
Mice were perfused with PBS followed by 4% paraformaldehyde using a forced pump system. After dissection, brains were sliced by microtome in 40 µm thick coronal sections. Every sixth section from the anterior brain (including the sensorimotor and striatal regions) was stained for pS129 αsyn or NECAB1 immunohistochemistry, while every fourth section from the posterior sections (including the SN) was stained for pS129 αsyn or TH immunohistochemistry. For pS129 αsyn and TH immunohistochemistry, sections were quenched with 0.6% hydrogen peroxide in methanol followed by antigen retrieval (10 mM sodium citrate, 0.05% Tween-20, pH 6.0) for 1 h at 37° C. Sections were then blocked in 5% normal goat serum (NGS) with 0.3% Triton X-100 and incubated for 48 h in pS129-αsyn antibody (Abcam #51253) or 24 h in TH antibody (Pelfreez #40101) in 1.5% NGS at 4 °C. After washing, sections were incubated with goat anti-rabbit IgG biotinylated secondary antibody (Vector Laboratories #BA-1000) for 4 h at 4 °C. After washing with TBS, sections were incubated in ABC solution (Vector) for 30 min and developed using ImmPACT DAB Chromagen Solution (Vector). Following washing with TBS, sections were mounted on slides and progressively dehydrated with ethanol and Histo-clear. Slides were cover-slipped with Permount (Avantar) and imaged using an Olympus BX51 epifluorescence microscope. For pS129-αsyn positive inclusion counts, 3 sections in either the sensorimotor cortical regions (Bregma + 1.54 mm to + 0.62 mm) or the SN (Bregma − 2.70 mm to − 3.88 mm) per well were selected and quantitated using ImageJ with the rater blind to experimental conditions. One section was selected in the central and basolateral amygdala region (Bregma − 0.82 mm to − 1.34 mm) and quantitated using ImageJ with the rater blind to experimental conditions. αSyn inclusion counts were normalized per mm2 area.
For fluorescence staining, sections were washed in TBS followed by antigen retrieval (10 mM sodium citrate, 0.05% Tween-20, pH 6.0) for 1 h at 37 °C. Sections were then blocked in 5% NGS with 0.1% Triton X-100 and incubated with anti-NECAB1 rabbit antibody (Sigma Millipore #HPA023629), anti-NeuN mouse antibody (Thermofisher Scientific #14H6L24 or Sigma Millipore #MAB377), anti-GFAP mouse antibody (Sigma Millipore, #MAB360), or pS129-αsyn rabbit antibody (Abcam #51253) overnight at 4 °C. After washing with TBS, sections were incubated with Cy3-conjugated goat anti-mouse secondary antibody and Alexa488-conjugated goat anti-rabbit antibody for 2 h at 4 °C. Sections were mounted on slides, cover-slipped using ProLong Diamond Antifade mounting solution (Thermofisher Scientific), and imaged using an Olympus BX51 epifluorescence microscope or a Nikon Eclipse Ti2 confocal microscope. For NECAB1-positive neuronal counts, 3 sections in the sensorimotor cortical regions (Bregma + 1.54 mm to + 0.62 mm) per well were selected and quantitated using ImageJ with the rater blind to experimental conditions. NECAB1 counts were normalized to mm2 area.
Stereology
Stereological estimates of TH-positive neuronal numbers were performed using the optical fractionator method of the StereoInvestigator 8.0 software from MBF Biosciences (Microbrightfield Inc., Williston, VT, USA), as previously described [18, 25]. For each animal, SNpc regions of every fourth section based on systematic random sampling were outlined according to published mouse atlas (Bregma − 2.70 mm to − 3.88 mm). A grid was placed randomly over the outlined region for counting. At each counting frame (50 μm × 50 μm) of the grid predetermined by the software setup, neurons with visible nuclei were counted within three-dimensional optical dissectors set to 20 μm with a 60 × oil immersion objective using an Olympus BX51 Microscope. A 1-μm guard distance from the top and bottom of the section surface was excluded from each dissector. Section thickness was measured at every tenth counting frame on each section to obtain the actual thickness after tissue processing. The total number of neurons (Ntotal) was calculated using the equation: Ntotal = Ncounted × 1/ssf × 1/asf × 1/hsf, where Ncounted is the number of neurons counted, ssf is the section sampling fraction, asf is the area sampling fraction and hsf is the height sampling fraction. Coefficient of error (Gundersen, m = 1) was set to < 0.1. Stereology estimates were done with the investigator blinded to the experimental condition.
Behavior tests
Behavior tests to assess motor and social functions were conducted 3 and 6 months after PFF injection. Mice were handled for 3 to 5 days before testing began and habituated to testing room for 30 min at the start of each testing day. Behavior tests began at least 1 h after light/dark cycle switch and completed at least 1 h before switching back to their dark cycle. In order to minimize stress to the animals, behavior tests were ordered from least to most stressful as follows: open field, wire hang, social dominance (tube test), pole test, and finally rotarod. Behavior was done primarily at 6 months post injection (mpi), but the difopein cortical cohort did undergo behavioral tests at 3 mpi. All behavior apparatuses were cleaned with 2% chlorohexidine between trials in order to minimize scent contamination between mice. Further, male mice were tested before female mice to minimize their exposure to female scent.
Open field
For open field, mice were placed with a 48 in. × 48 in. open arena with clear plexi-glass walls. Mice were videoed for 4 min using EthoVision software and analyzed for overall velocity, distance moved across all planes (vertical and horizontal), and time spent in the periphery.
Wire hang
A four limb wire hang test was performed, as previously described with some modifications [26]. An apparatus with a wire grid bottom and angled edges to prevent mice from crawling over was built by the UAB machine shop. This apparatus was attached to a ring stand approximately 1 m high over a rat cage filled with bedding. The apparatus was inverted and a mouse was set on top. The apparatus was then flipped back over, so that the mouse was upside down and had to hang onto the wire grid in order to stay on. If the mouse was still hanging on after 60 s, it was removed and placed back in its home cage. A total of 2 trials per mouse were run, and all the mice in the cohort were run on the first trial before beginning the second trials, giving an interval of about 90 min between the two trials.
Tube test
For the tube test, mice were placed in a clear 12″ long tube at opposing ends as previously described in protocols established by Arrant et al. [27, 28]. Mice were not released until both mice had all four paws inside the tube. Male mice were tested in a 1½″ diameter tube, and females were tested in a 1″ diameter tube to account for differences in size between sexes. Each PFF-injected WT mouse, monomer-injected transgenic 14-3-3θ or difopein mouse, and PFF-injected transgenic 14-3-3θ or difopein mouse was randomly matched against 3 different monomer-injected WT mice of the same age and gender in separate trials. The PFF-injected WT mouse, monomer-injected transgenic 14-3-3θ or difopein mouse, and PFF-injected transgenic 14-3-3θ or difopein mouse were given 2 min to habituate in the testing arena before introduction of the monomer-injected WT mouse. Mice were given a 2-min rest between rounds and tested over a 2 day period.
Pole test
At 3 mpi (aged 5–6 months), mice were placed facing upwards at the top of a ¼″ diameter round 3-foot long pole. Each mouse was timed for the duration to turn downwards down the pole as well as descend to the bottom of the pole. At 6 mpi (mouse age 8–9 months), wire footholds were added to the pole to assist mice in descending safely due to age and weight gain.
Rotarod
To further assess motor activity at 6 mpi, mice were placed on an accelerating rotarod apparatus with speed increasing from 5 to 35 rpm over 60 s. Mice were given 3 days of training on the apparatus and 2 days of testing. All mice underwent 3 trials per day with an inter-trial rest time of 2 min on training days and 5 min on assessment days. No mice failed to fall during the allotted 60 s.
Statistical analysis
GraphPad Prism 8 (La Jolla, CA) was used for statistical analysis of experiments. Data were analyzed by either Student’s t-test, one-way ANOVA, or two-way ANOVA, followed by post-hoc pairwise comparisons using Tukey’s multiple comparison tests. Statistical significance was set at p ≤ 0.05. All the details of experiments can be found in the results section or figure legends. All data values are presented as mean ± SEM. ANOVA related statistics (F statistic, p values) are noted in the results section, while the post-hoc test results are found in the figure legends. For t-tests, the t statistic and p values are noted in the results section.
Results
To test the impact of 14-3-3 proteins on αsyn pathogenesis in vivo, we examined the effect of 14-3-3θ overexpression or 14-3-3 inhibition on behavioral deficits, αsyn inclusion formation, and neuronal counts in the in vivo fibril model (Fig. 1a, b). We previously created a transgenic mouse that overexpresses 14-3-3θ tagged with the HA tag under the Thy1.2 promoter [4, 6]. This transgenic mouse expresses HA-tagged 14-3-3θ in neurons located in the cortex, hippocampus, amygdala, and other areas, but no HA-tagged 14-3-3θ is detected in dopaminergic neurons in the SN (Additional file 2: Figure S3b). This mouse was used to examine the impact of 14-3-3θ manipulation in the cortex and amygdala (Fig. 1a). We also examined the impact of 14-3-3θ overexpression in the SN by using an adeno-associated virus (AAV) expressing 14-3-3θ-GFP that was injected into the SN by stereotactic means (Fig. 1b). For testing the impact of 14-3-3 inhibition with the pan-14-3-3 peptide inhibitor difopein, we used 2 different lines expressing difopein-eYFP under the Thy1.2 promoter [20]: (1) line 132, which primarily expresses difopein-eYFP in neurons in the cortex and amygdala but not within the SN, and (2) line 166, which expresses difopein-eYFP in TH-positive neurons in the SN but does not have expression in the cortex (Fig. 4a, d; Additional file 3: Figure S4a).
14-3-3θ overexpression reduces social dominance behavioral deficits induced by αsyn fibrils
Previous studies have shown motor and/or cognitive behavioral effects in response to αsyn PFF injection into the dorsolateral striatum [24, 28, 29]. WT and 14-3-3θ transgenic littermates were injected unilaterally with monomeric or fibrillary αsyn (5 µg) into the dorsolateral striatum at 8 to 12 weeks of age. Six months after PFF injection, we examined motor and non-motor behaviors in these mice. In the open field test, we observed no difference in velocity (2-way ANOVA: genotype F (1, 45) = 0.2994, p = 0.5870; PFF treatment F (1, 45) = 1.079, p = 0.3044; interaction F (1, 45) = 0.008179, p = 0.9283) or distance traveled (2-way ANOVA: genotype F (1, 45) = 0.2940, p = 0.5903; PFF treatment F (1, 45) = 1.088, p = 0.3024; interaction F (1, 45) = 0.007373, p = 0.9320) between WT and 14-3-3θ transgenic mice, whether injected with monomeric or fibrillar αsyn (Additional file 4: Figure S2a, b). We did observe an increase in the time 14-3-3θ mice spent in the periphery of the open field arena compared to WT mice, which may suggest an increase in anxiety with 14-3-3θ overexpression; however, PFF injection did not impact time spent in the periphery (2-way ANOVA: genotype F (1, 45) = 9.556, p = 0.0034; PFF treatment F (1, 45) = 0.5662, p = 0.4557; interaction F (1, 45) = 0.6048, p = 0.4408; Additional file 4: Figure S2c). While some studies have shown a motor deficit in mice injected with PFFs at 6 mpi on the pole test or rotarod test [24], we did not observe a consistent deficit in WT animals injected with PFFs on either test at 6 mpi (Additional file 4: Figure S2d, e). We also did not observe any differences in monomeric or fibrillar αsyn-injected 14-3-3θ mice with regard to motor function on the pole test (2-way ANOVA: genotype F (1, 44) = 2.217e−005, p = 0.9963; PFF treatment F (1, 44) = 0.01661, p = 0.8980; interaction F (1, 44) = 0.08812, p = 0.7680; Additional file 4 Figure S2d) or rotarod test (2-way ANOVA: genotype F (1, 45) = 0.08034, p = 0.7781; PFF treatment F (1, 45) = 2.507, p = 0.1203; interaction F (1, 45) = 0.02684; p = 0.8706; Additional file 4: Figure S2e).
We did observe a strong effect of PFF injections in WT animals in the social dominance test, which is thought to be a measure of prefrontal cortical and amygdala function [27, 30–33], at 6 mpi (Fig. 1c). PFF-injected transgenic 14-3-3θ mice with 14-3-3θ overexpression primarily in the cortex showed a rescue of the social dominance deficit observed in WT littermates injected with PFFs (1-way ANOVA: F (2, 59) = 5.581; p = 0.0060; Fig. 1c).
Since our transgenic 14-3-3θ line does not demonstrate 14-3-3θ overexpression in the nigra (Additional file 2: Figure S3b), we tested the impact of 14-3-3θ overexpression in the SN using an adeno-associated virus (AAV) expressing 14-3-3θ-GFP [18]. WT mice were stereotactically injected with AAV-GFP or AAV-14-3-3θ/GFP into the SN at 8 weeks of age, and then monomeric or fibrillar αsyn was injected into the ipsilateral dorsolateral striatum four weeks later. While there was a slight PFF effect on the open field test (2 way ANOVA: genotype F (1, 52) = 0.04865, p = 0.8263; PFF treatment F (1, 52) = 10.01, p = 0.0026, interaction (1, 52) = 0.2352, p = 0.6297) and on the pole test (2 way ANOVA: genotype F (1, 52) = 0.02336, p = 0.8791; PFF treatment F (1, 52) = 4.251, p = 0.0442; interaction F (1, 52) = 0.7770, p = 0.3821), no significant differences were observed between GFP mice injected with monomer vs. GFP mice injected with PFFs or between GFP mice injected with PFFs and 14-3-3θ mice injected with PFFs on either pole test or open field testing at 6 mpi (Additional file 4: Figure S2i–k). No significant motor deficit was observed in mice injected with AAV-GFP or AAV-14-3-3θ/GFP with or without PFFs in the wire hang test at 6 mpi (2-way ANOVA: genotype F (1, 52) = 1.554, p = 0.2181; PFF treatment F (1, 52) = 2.342, p = 0.1320; interaction F (1, 52) = 0.2655, p = 0.6086; Additional file 4: Figure S2l).
14-3-3 inhibition exacerbates social dominance behavioral deficits induced by αsyn fibrils
We next examined whether inhibition of 14-3-3s with the pan-14-3-3 peptide inhibitor difopein affects behavioral deficits in the in vivo PFF model. Transgenic mice expressing difopein in the cortex showed a deficit in social dominance after PFF injection that was not observed in WT mice at 3 mpi (1-way ANOVA: F (2, 42) = 3.139, p = 0.05; Fig. 1d). At 6 mpi, the win rate on the social dominance test was lower in difopein mice injected with PFFs compared to WT mice injected with PFFs (1-way ANOVA: F (2, 41) = 7.359, p = 0.0019; Fig. 1e). PFF treatment showed an overall slight increase in velocity (2-way ANOVA: genotype F (1, 56) = 0.4789 p = 0.4918; PFF effect F (1, 56) = 10.57, p = 0.0020; interaction F (1, 56) = 0.2741, p = 0.6027) and distance traveled (2-way ANOVA: genotype F (1, 56) = 0.1289, p = 0.7209; PFF effect F (1, 56) = 11.94, p = 0.0011; interaction F (1, 56) = 0.6675, p = 0.4174) in mice on the open field test, but no dramatic differences were noted between individual experimental groups at 6 mpi (Additional file 4: Figure S2f, g). No differences were noted between genotype or PFF treatment in the percent time spent in the periphery of the open field arena (2-way ANOVA: genotype F (1, 56) = 0.3703, p = 0.5453; PFF treatment F (1, 56) = 0.6636; p = 0.4187; interaction F (1, 56) = 0.9522, p = 0.3333; Additional file 4: Figure S2h).
Similar to that observed with the AAV-14-3-3θ injections into the SN, expression of difopein in the SN did not impact motor function significantly. PFF or genotype did not impact distance traveled (2-way ANOVA: genotype effect F (1, 60) = 0.6861, p = 0.4108; PFF treatment F (1, 60) = 0.2927, p = 0.5905; interaction F (1, 60) = 5.109; p = 0.0274) or velocity (2-way ANOVA: genotype effect F (1, 60) = 0.2982, p = 0.5870; PFF treatment F (1, 60) = 0.03472, p = 0.8528; interaction F (1, 60) = 13.13, p = 0.0006) on the open field test at 6 mpi, although a slight interaction effect was noted (Additional file 4: Figure S2m, n). WT and nigral difopein mice did not demonstrate any motor deficit on the rotarod test at 6 mpi (2-way ANOVA: genotype F (1, 56) = 0.6888, p = 0.4101; PFF treatment F (1, 56) = 2.386, p = 0.1281; interaction F (1, 56) = 0.09658, p = 0.7571; Additional file 4: Figure S2o, p).
14-3-3θ overexpression delays αsyn inclusion formation
Given the reversal of the social dominance deficit in 14-3-3θ mice, we next examined the impact of 14-3-3θ on αsyn inclusion formation. At 3 mpi, we observed a dramatic number of inclusions that stained positive for phosphorylated S129-αsyn (pS129-αsyn) in the sensorimotor cortex of WT mice injected with PFFs (Fig. 2a, c). By 6 mpi, inclusion numbers in WT mice were dramatically reduced (Fig. 2d). Other groups have also noticed a decline in αsyn inclusions over time in mice, presumably due to the loss of neurons that develop inclusions [34–36]. Monomer-injected mice failed to stain for pS129-αsyn (Additional file 2: Figure S3a). Inclusions in PFF-injected mice were primarily associated with neurons instead of glial cells, as demonstrated by co-staining for pS129-αsyn with the neuronal marker NeuN or the astrocytic marker GFAP (Fig. 2b; Additional file 2: Figure S3c). In 14-3-3θ transgenic mice injected with PFFs compared to WT mice injected with PFFs, we observed a 41% reduction in the number of inclusions that stained positive for pS129-αsyn in the cortex at 3 mpi (unpaired, two-tailed t-test: t(13) = 2.754, p = 0.0164; Fig. 2a, c). However, at 6 mpi, 14-3-3θ mice injected with PFFs showed a 2.4-fold increase in inclusion counts in the cortex compared to WT mice injected with PFFs (unpaired, two-tailed t-test: t(17) = 3.232, p = 0.0049; Fig. 2d). These inclusions in 14-3-3θ mice were also associated with neurons instead of glial cells (Fig. 2b; Additional file 2: Figure S3c). In the amygdala, we observed a 60% decrease in the number of pS129-αsyn positive inclusions at 3 mpi in 14-3-3θ transgenic mice injected with PFFs compared to WT mice injected with PFFs (unpaired, two-tailed t-test: t(15) = 2.757, p = 0.0147) but then a 60% increase in the number of inclusions in the amygdala at 6 mpi (unpaired, two-tailed t-test: t(13) = 2.193, p = 0.0471) in 14-3-3θ transgenic mice injected with PFFs compared to WT mice injected with PFFs (Fig. 2c, d). No differences in inclusion counts were noted between 14-3-3θ and WT mice at either 3 mpi (unpaired, two-tailed t-test: t(13) = 0.1161, p = 0.9094) or 6 mpi (unpaired, two-tailed t-test: t(10) = 0.5746, p = 0.5782) in the SN, in which 14-3-3θ overexpression is not seen in these transgenic mice (Fig. 2c, d). These findings suggest that inclusion formation in the cortex and amygdala is delayed by 14-3-3θ overexpression, and that higher levels of inclusions seen at 6 mpi in the 14-3-3θ mice compared to WT mice could be due to a reduction in neuronal loss.
Since our transgenic 14-3-3θ line does not demonstrate 14-3-3θ overexpression in the SN, we also examined nigral inclusion formation in the mice stereotactically injected with AAV-GFP or AAV-14-3-3θ/GFP in the SN (Fig. 3a). Consistent with our transgenic data, the number of inclusions positive for pS129-αsyn in the SN was decreased in mice injected with AAV-14-3-3θ/GFP compared to mice injected with AAV-GFP at 3 mpi (unpaired, two-tailed t-test: t(25) = 2.229, p = 0.0350 Fig. 3b, d). By 6 mpi, the number of inclusions positive for pS129-αsyn in the SN were increased in mice injected with AAV-14-3-3θ/GFP compared to mice injected with AAV-GFP (unpaired, two-tailed t-test: t(25) = 2.481, p = 0.0202; Fig. 3c, d). As observed in the 14-3-3θ transgenic mice, the pS129-αsyn inclusions were associated primarily with neurons instead of glial cells (Fig. 3e). These findings suggest that inclusion formation in the nigra is also delayed by 14-3-3θ overexpression in the SN. The subsequent increase in inclusion formation at 6 mpi could reflect a reduction in neuronal loss in mice overexpressing 14-3-3θ in the SN.
14-3-3 inhibition accelerates αsyn inclusion formation
We next examined whether inhibition of 14-3-3s with the pan-14-3-3 peptide inhibitor difopein affects αsyn inclusion formation in the in vivo PFF model. The difopein transgenic line that expresses difopein-eYFP in neurons in the cortex but not within the SN revealed increased inclusion counts in the cortex at 3 mpi compared to WT mice (unpaired, two-tailed t-test: t(29) = 2.441, p = 0.0210; Fig. 4a–c). However, at 6 mpi, inclusion counts were significantly lower by 43% in the cortical difopein mice compared to WT injected with PFFs (unpaired, two-tailed t-test: t(25) = 2.233, p = 0.0347; Fig. 4c). Similarly, in the amygdala, inclusion counts were increased by 31% at 3 mpi (unpaired, two-tailed t-test: t(21) = 2.070, p = 0.05) but showed a non-significant decrease (53%) at 6 mpi (unpaired, two-tailed t-test: t(15) = 2.021, p = 0.0616) in difopein mice compared to WT mice (Additional file 3: Figure S4).
To test the impact of 14-3-3 inhibition on aggregation in nigral neurons, we measured inclusions in the nigral difopein transgenic line. Inclusion counts in the difopein nigral mice showed a non-significant increase at 3 mpi (unpaired, two-tailed t-test: t(14) = 1.123, p = 0.2804) and decreased significantly at 6 mpi (unpaired, two-tailed t-test: t(21) = 2.355, p = 0.0283) after PFF injection compared to WT mice (Fig. 4d–f). We conclude that 14-3-3 inhibition accelerates inclusion formation in response to αsyn fibrils, and that the reduction in inclusion counts at 6 mpi could reflect an increase in neuronal loss.
14-3-3s regulate reduction in dopaminergic neuron counts induced by αsyn fibrils
As noted above, αsyn inclusion numbers are much higher at 3 months after PFF injection than at 6 months after injection in WT animals. This reduction in αsyn inclusion numbers over time is presumably secondary to the death of neurons that develop αsyn inclusions [35]. 14-3-3θ overexpression in either the nigra or cortex reduced αsyn inclusion numbers at 3 mpi, but we observed an increase in αsyn inclusions at 6 mpi in 14-3-3θ-overexpressing mice compared to control mice. We hypothesized that this delayed increase in inclusion formation with 14-3-3θ overexpression is due to the rescue of neurons that normally die in response to PFFs in control mice. To test the impact of 14-3-3θ overexpression on dopaminergic neurons in the SN, we performed stereological analysis of TH-positive neuronal counts in the nigra in mice injected with AAV-GFP or AAV-14-3-3θ/GFP. As expected, striatal PFFs induced a 25% reduction in ipsilateral dopaminergic neuron counts in control mice injected with AAV-GFP into the ipsilateral nigra at 6 mpi (2-way ANOVA: genotype F (1, 43) = 0.8197, p = 0.3703; PFF treatment F (1, 43) = 10.01, p = 0.0029; interaction F (1, 43) = 2.514, p = 0.1202; Fig. 5a, b). In contrast, AAV-14-3-3θ/GFP mice injected with PFFs did not demonstrate a significant reduction in TH-positive dopaminergic neurons compared to AAV-14-3-3θ/GFP mice injected with monomeric αsyn at 6 mpi (Fig. 5a, b). This finding suggests that the increase in αsyn inclusions in 14-3-3θ-overexpressing mice at 6 mpi may be due to a reduction in dopaminergic neuronal loss.
We next examined TH-positive neuronal counts in response to PFFs in difopein-expressing mice. Stereological analysis of TH-positive counts in the nigra revealed a greater reduction in ipsilateral dopaminergic neuronal counts in PFF-injected mice expressing difopein in the SN compared to WT mice after PFF injection at 6 mpi (2-way ANOVA: genotype F (1, 46) = 3.208, p = 0.0798; PFF treatment F (1, 46) = 58.27, p < 0.0001; interaction F (1, 46) = 4.309, p = 0.0435; Fig. 5c, e). Stereological analysis at 3 mpi showed a non-significant reduction of TH-positive dopaminergic neuron numbers in difopein nigral mice, but no reduction in TH-positive dopaminergic neurons in WT mice injected with PFFs at 3 mpi (2-way ANOVA: genotype F (1, 26) = 3.282, p = 0.0816; PFF treatment F (1, 26) = 0.3335, p = 0.5686; interaction F (1, 26) = 1.105, p = 0.3028; Fig. 5d), as previously described by others [24]. We also examined whether TH-positive cell numbers correlated with pS129-αsyn inclusion numbers, but the association varied between the different cohorts, with the only significant correlation in the difopein 6 mpi cohort (Additional file 5: Figure S5).
To assess potential neuronal loss in the cortex of WT and transgenic difopein mice, we measured counts of layer IV pyramidal neurons. Since inclusion formation primarily occurs in layer IV and V pyramidal neurons [28], we used NECAB1 as a marker for layer IV pyramidal neurons and measured counts of NECAB1-positive neurons per area (Additional file 6: Figure S6b). At 6 mpi, we observed a non-significant reduction in NECAB1-positive neuronal density in WT mice injected with PFFs compared to those injected with monomeric αsyn, while difopein mice injected with PFFs did show a significant reduction in NECAB1-positive neuronal density compared to difopein mice injected with monomeric αsyn (2-way ANOVA: genotype F (1, 27) = 1.426, p = 0.2428; PFF treatment F (1, 27) = 35.68, p < 0.0001; interaction F (1, 27) = 4.681, p = 0.0395; Additional file 6: Figure S6a, c). While not statistically significant, there was a slight trend towards decreased NECAB1 counts in difopein mice injected with PFFs compared to WT mice injected with PFFs ( Additional file 6: Figure S6a, c). These findings in the SN and cortex suggest that the reduction in αsyn inclusion counts in difopein-expressing mice at 6 mpi could be due to the increased loss of neurons in difopein mice compared to WT mice.
Discussion
In this study we examined the role of 14-3-3s on αsyn aggregation and neuronal toxicity in the in vivo pre-formed fibril (PFF) mouse model. We tested the effects of 14-3-3θ overexpression and 14-3-3 inhibition by the pan-peptide inhibitor difopein in either the cortex or the SN at 2 time points after PFF injection. 14-3-3θ overexpression in the cortex and amygdala, as demonstrated in our 14-3-3θ transgenic line, delayed αsyn inclusion formation and rescued the social dominance deficit. 14-3-3θ overexpression in the SN by AAV also delayed αsyn inclusion formation and partially rescued reductions in TH-positive neuronal counts. In contrast, difopein expression accelerated αsyn inclusion formation, the social dominance behavioral deficit, and reductions in TH-positive and NECAB1-positive neuronal counts. These results suggest that 14-3-3s act as a chaperone to reduce αsyn aggregation and its resulting toxicity on behavioral function and neuronal populations.
We and other groups have demonstrated that inclusion formation in the mouse PFF model peaks around 3 months after PFF injection with a subsequent reduction in inclusions at later time points [24, 34]. This reduction in aggregates coincides with the onset of TH-positive neuronal count reduction at 6 mpi [24, 34], suggesting that the reduction in aggregate numbers is due to the death of neurons with inclusions. Indeed, live imaging has demonstrated that neurons displaying αsyn inclusions ultimately die when tracked over time [35]. In our study, we found that 14-3-3θ overexpression decreased αsyn aggregation at 3 mpi, but interestingly increased αsyn aggregate counts at 6 mpi in areas expressing higher levels of 14-3-3θ. Conversely, 14-3-3 inhibition increased αsyn aggregation at 3 mpi but decreased it at 6 mpi in areas expressing difopein. We hypothesize that the subsequent increase in inclusion numbers with 14-3-3θ overexpression at 6 mpi is due to a delay in neuronal loss as compared to that seen in WT mice. Conversely, the decrease in inclusion numbers in difopein mice at 6 mpi is likely secondary to an acceleration of cell death relative to WT mice. Indeed, our analyses of neuronal counts and behavior are consistent with this interpretation. 14-3-3θ overexpression limited reductions in dopaminergic TH-positive neuron counts in the SN at 6 mpi, and behavioral rescue also points to rescue of neuronal function. Conversely, 14-3-3 inhibition promoted a greater reduction in TH-positive dopaminergic neuronal cell counts at 6 mpi. Although not significant, 14-3-3 inhibition trended towards reduced dopaminergic cell counts at 3 mpi as well, suggesting an acceleration of dopaminergic cell death. We did see a significant correlation between TH-positive neuronal counts and inclusion numbers in the difopein 6 mpi cohort, but otherwise differences in TH-positive stereological neuronal counts did not consistently correlate with inclusion counts. This could be due to variability between neurons and/or between mice with regard to when aggregates first form and when neurons die. Of note, decreases in TH-positive cell counts may be due to decreased expression of TH in dopaminergic neurons, which may indicate a functional deficit instead of overt neuronal cell loss. However, our results are consistent with others demonstrating neuronal cell loss in the SN at 6 mpi [37]. Additionally, NECAB1-positive cell counts in the sensorimotor cortex were also reduced in PFF-injected difopein mice, further suggesting that neuronal cell loss is occurring in multiple brain regions. The acceleration of the social dominance defect in difopein mice is consistent with this acceleration of cortical neuron loss.
pS129-αsyn positive inclusions were predominantly localized in neurons, suggesting a neuronal selective vulnerability in this model. Previous groups have established that genetic αsyn mouse models with or without PFF treatment can demonstrate the formation of inclusions in glial populations, such as astrocytes, particularly at late stages [38–42]. Few to no inclusions colocalized with the astrocytic marker GFAP at 6 mpi, suggesting that 14-3-3θ’s effects on inclusion numbers primarily involve neurons, although we cannot fully rule out the possibility that 14-3-3θ’s increase in inclusion numbers at 6 mpi could also reflect some inclusion formation within glial cells. Additionally, 14-3-3θ transgenic expression is driven under the Thy1 neuronal promoter, further suggesting that differences in inclusion load primarily occur in neurons.
In order to assess the effects of 14-3-3s on αsyn toxicity in the PFF model, we used both transgenic and AAV-induced expression mouse models. Reproducible and consistent findings between AAV and transgene methods of 14-3-3θ overexpression suggest that our findings are not an artifact of transgene expression. The use of both methods also allowed for the assessment of selective areas of expression in modulating the effects of αsyn after initial aggregation initiated by PFF injection in the striatum, as αsyn inclusion formation is seen throughout multiple brain regions in both PD patients and in the PFF model. Our findings demonstrate that 14-3-3s’ effects on αsyn are not restricted to particular brain regions, but that 14-3-3s can impact αsyn pathology in multiple areas in which αsyn pathology is observed in the PFF model. Of note, we tested the effects of the overexpression of a single isoform 14-3-3θ in comparison to pan inhibition of 14-3-3 isoforms by difopein. Our lab has previously established the integral role of 14-3-3θ in modulating αsyn spread and toxicity [4], although other isoforms may also impact αsyn pathology. For example, 14-3-3η can regulate αsyn aggregation in vitro [43]. We used the pan-14-3-3 peptide inhibitor to eliminate the possibility that other 14-3-3 isoforms could compensate for lack of a single isoform.
14-3-3 proteins interact with multiple aggregation-prone proteins in neurodegenerative diseases, including tau, huntingtin, and αsyn [44–49]. Our lab previously established that 14-3-3θ acts as a chaperone to regulate αsyn seeding, cell-to-cell transmission, and toxicity in both the paracrine αsyn and in vitro PFF models [4]. 14-3-3θ complexes with αsyn to prevent its adoption of a pathologic conformation, limiting further αsyn aggregation. 14-3-3θ-complexed αsyn decreases its uptake, seeding potential, and paracrine toxicity. Here we further confirm the essential role for 14-3-3θ in the in vivo PFF model and predict that its protective effects in vivo involve its role as a chaperone. 14-3-3s could also act as a chaperone to regulate other aggregation-prone proteins, yet whether 14-3-3s do regulate other aggregation-prone proteins in vivo is yet to be determined. In vitro studies evaluating the impact of 14-3-3s on tau and huntingtin aggregation have been mixed [50–55].
Based on our findings here and in other studies, we propose that disruption of 14-3-3 function may serve to promote the neurodegenerative process in PD and DLB. Alterations in 14-3-3s have been noted in PD models and in human disease [14–17, 56]. We have previously shown that increased αsyn levels reduces 14-3-3θ expression in αsyn cellular and mouse models and that 14-3-3 levels are reduced in DLB [14–17]. Additionally, we have observed increased 14-3-3θ phosphorylation in PD models and in human PD and DLB brains [15, 56]. A reduction in 14-3-3 levels and aberrant 14-3-3 phosphorylation may impair the chaperone function of 14-3-3θ to minimize αsyn misfolding. Future studies are in progress to examine the impact of 14-3-3 phosphorylation on αsyn pathology.
Motor phenotypes in the PFF model have been variably reported, with some groups finding strong motor deficits and others observing none [24, 28, 29]. Our data showed no consistent deficits in PFF-injected mice by wire hang, pole test, or rotarod at 6 mpi. Variability in behavioral deficits may be due to differences in protocol or in the genetic background of the mice used in each study. This lack of replication may also be due to differences in the synthesis of injected fibrils, resulting in different rates of αsyn aggregation and neuronal cell death. It has been previously established that αsyn aggregates reach different peak times in each brain region and then decrease as the aggregates are cleared and cells die [24, 34–36]. As a result, behavioral phenotypes in this model may vary based on the seeding potential of the PFFs injected. Interestingly, we consistently observed deficits in the social dominance tube test in PFF-injected mice at 6 mpi, pointing to strong implications for prefrontal cortical and amygdala involvement in this model, reflecting a disease profile reminiscent of DLB [28].
Conclusion
In conclusion, we found that 14-3-3θ overexpression reduced behavioral deficits, delayed αsyn aggregation, and partially prevented decreases in TH-positive neuronal counts, while 14-3-3 inhibition accelerated behavioral deficits, αsyn aggregation, and reductions in TH-positive neurons in the PFF mouse model. Our work here further demonstrates the neuroprotective effects of 14-3-3θ overexpression in multiple brain regions, indicating that this protective mechanism applies broadly to multiple cell types affected by αsyn pathology. Together these data indicate the role of 14-3-3s in the regulation of αsyn pathology and their therapeutic potential as a molecular target for synucleinopathies. Induction of 14-3-3θ may prove to be a viable technique for slowing disease progression.
Supplementary Information
Acknowledgements
We are grateful to Drs. Laura Volpicelli-Daley and Andrew West for provision of recombinant αsyn. We thank Dr. Yi Zhou at Florida State University who provided the difopein mouse lines that were used in these studies. Research reported in this publication was also supported by the UAB High Resolution Imaging Facility.
Abbreviations
- AAV
Adenovirus associated virus
- αsyn
Alpha-synuclein
- CTX
Cortex
- DLB
Dementia with Lewy Bodies
- GFAP
Glial fibrillary acidic protein
- IHC
Immunohistochemistry
- LB
Lewy body
- mpi
Months post injection
- PD
Parkinson’s disease
- PFF
Pre-formed fibrils
- pS129
Phosphoserine 129
- SN
Substantia nigra
- TEM
Transmission electron microscopy
- TH
Tyrosine hydroxylase
Authors’ contributions
RU designed and performed experiments, analyzed data, and wrote manuscript. MG designed and performed experiments, analyzed data, and reviewed manuscript. NK, AK, SC, and AP performed experiments and reviewed manuscript. TY designed experiments, analyzed data, and wrote and finalized manuscript. All authors read and approved the final manuscript.
Funding
This study was supported by NIH [R01 NS088533 (TAY); R01 NS112203 (TAY); P50 NS108675 (TAY); F31 NS106733 (RU)], American Parkinson Disease Association, and the Parkinson Association of Alabama. These funding agencies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Availability of data and materials
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
Mice were used in accordance with the guidelines of the National Institute of Health (NIH) and University of Alabama at Birmingham (UAB) Institutional Animal Care and Use Committee (IACUC) and all experiments abided by the principles outlined in the Basel Declaration.
Consent for publication
Not applicable.
Competing interests
Dr. Yacoubian has a U.S. Patent No. 7,919,262 on the use of 14-3-3s in neurodegeneration. The remaining authors have no competing interests to declare.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Rachel Underwood, Email: rachel.underwood@pennmedicine.upenn.edu.
Mary Gannon, Email: mag3485@uab.edu.
Aneesh Pathak, Email: aneesh11@uab.edu.
Navya Kapa, Email: navyakapa@uab.edu.
Sidhanth Chandra, Email: sidhanth.chandra@northwestern.edu.
Alyssa Klop, Email: alyssa98@uab.edu.
Talene A. Yacoubian, Email: tyacoubian@uabmc.edu
Supplementary Information
The online version contains supplementary material available at 10.1186/s40478-020-01110-5.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.