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Tau deletion impairs intracellular β-amyloid-42 clearance and leads to more extracellular plaque deposition in gene transfer models
© Lonskaya et al.; licensee BioMed Central Ltd. 2014
- Received: 20 August 2014
- Accepted: 21 October 2014
- Published: 10 November 2014
Tau is an axonal protein that binds to and regulates microtubule function. Hyper-phosphorylation of Tau reduces its binding to microtubules and it is associated with β-amyloid deposition in Alzheimer’s disease. Paradoxically, Tau reduction may prevent β-amyloid pathology, raising the possibility that Tau mediates intracellular Aβ clearance. The current studies investigated the role of Tau in autophagic and proteasomal intracellular Aβ1-42 clearance and the subsequent effect on plaque deposition.
Tau deletion impaired Aβ clearance via autophagy, but not the proteasome, while introduction of wild type human Tau into Tau−/− mice partially restored autophagic clearance of Aβ1-42, suggesting that exogenous Tau expression can support autophagic Aβ1-42 clearance. Tau deletion impaired autophagic flux and resulted in Aβ1-42 accumulation in pre-lysosomal autophagic vacuoles, affecting Aβ1-42 deposition into the lysosome. This autophagic defect was associated with decreased intracellular Aβ1-42 and increased plaque load in Tau−/− mice, which displayed less cell death. Nilotinib, an Abl tyrosine kinase inhibitor that promotes autophagic clearance mechanisms, reduced Aβ1-42 only when exogenous human Tau was expressed in Tau−/− mice.
These studies demonstrate that Tau deletion affects intracellular Aβ1-42 clearance, leading to extracellular plaque.
- Intracellular Aβ1-42
Two major pathologies that are linked to Alzheimer’s disease (AD), include extracellular β-amyloid (Aβ) plaques and intracellular neurofibrillary tangles (NFTs) comprised of hyper-phosphorylated Tau (p-Tau) . Although Aβ peptides initially appeared to act upstream of Tau pathology in AD [2, 3], more recent data suggest that Tau mediates Aβ toxicity since reduction of endogenous Tau levels attenuates Aβ-induced neurodegeneration [4, 5]. Tau may be a critical mediator of Aβ toxicity in AD [6, 7]. The level of insoluble p-Tau accumulation positively correlates with neurodegeneration and cognitive decline , suggesting that Tau dysfunction underlies dementia . Interestingly, some aged human brains develop plaques with no dementia or major cognitive decline [10, 11], while neocortical and hippocampal Aβ and Tau together are often associated with dementia . However, Tau mutations or modifications are causal to some neurodegenerative diseases without plaques, including fronto-temporal dementia linked to chromosome 17 with Parkinsonism (FTDP-17), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD), suggesting Tau associated neurodegeneration without Aβ deposition [6, 7]. Taken together these findings suggest that Tau is a critical regulator of Aβ1-42 toxicity through clearance of toxic intracellular Aβ1-42  and modulation of extracellular plaque deposition, thus counteracting the toxic effects of Aβ1-42. The interplay between Aβ and Tau suggests that Tau mediates the development and progression of neurodegeneration or it modulates Aβ clearance and contributes to protection.
To evaluate whether Tau function affects intracellular Aβ clearance and alters extracellular plaque formation, we used lentiviral gene transfer models to focus on intracellular Aβ1-42 clearance in wild type and Tau−/− mice. Intracellular Aβ may be cleared via autophagy and/or the proteasome [14, 15]. We previously demonstrated that lentiviral Aβ1-42 expression leads to p-Tau accumulation and inhibition of both the proteasome and autophagy [13, 14, 16, 17], while the Abl tyrosine kinase inhibitor Nilotinib increases autophagic Aβ and p-Tau clearance, leading to decreased plaque levels in AD models [14, 16]. Here we present evidence in primary hippocampal neurons and in mouse brain that Tau expression is critical for autophagic amyloid clearance. Our data suggest that Tau deletion inhibits autophagic flux, resulting in reduction of intracellular Aβ degradation and increased plaque deposition.
Autophagy and the proteasome contribute to p-Tau and Aβ1-42 clearance
We previously reported that lentiviral Aβ1-42 expression leads to elevation of p-Tau in the rat cortex [13, 14]. To determine whether autophagic blockade and/or proteasomal inhibition affect amyloid secretion, we measured Aβ1-42 and/or Tau in cell extracts (STEN buffer) and media. Lentiviral expression of human Aβ1-42 in primary mouse hippocampal neurons led to a significant increase in soluble and secreted (media) Aβ1-42 (Figure 1B, p < 0.001, n = 5) at 24 hrs compared to 12 hrs post-infection. Prolonged expression of lentiviral Aβ1-42 for 48 hrs resulted in lower levels of soluble and media Aβ1-42 compared to 24 hrs, but remained higher than 12 hrs (p < 0.01). The level of Ser 396 p-Tau was increased (Figure 1C, p < 0.001, n = 5) with a concomitant increase in media p-Tau (Figure 1C, p < 0.05, n = 5) when Aβ1-42 was expressed for 24 hrs compared to 12 hrs, indicating that Aβ1-42 expression triggers murine p-Tau. p-Tau levels were further increased (p < 0.0001, n = 5) at 48 hrs, suggesting progressive accumulation of p-Tau in response to Aβ1-42.Because of the observed effects of Aβ1-42 on p-Tau, we also measured p-Tau in cell extracts via ELISA in parallel with Aβ1-42 as shown in Figure 1A. Nilotinib prevented Aβ1-42-induced p-Tau (Figure 1D, n = 5, p < 0.03) compared to DMSO (1 μL). Lentiviral expression of human WT Tau and Aβ1-42 together (DMSO) increased p-Tau (Figure 1D, n = 5, p < 0.03) compared to Aβ1-42 alone but Nilotinib reversed p-Tau (Figure 1D, p < 0.04) back to the level of Aβ1-42 expression alone.Proteasome inhibition (MG132) increased p-Tau in LacZ infected cells (Figure 1D, n = 5, p < 0.05) or in the presence of Aβ1-42 (+DMSO). However, Nilotinib prevented p-Tau accumulation even in the presence of MG132 in Aβ1-42 expressing cells (n = 5, p < 0.036). Nilotinib also reduced p-Tau (Figure 1D, n = 5, p < 0.03) in cells co-expressing Tau and Aβ1-42 together, further suggesting that autophagy co-operates with the proteasome to clear p-Tau. MG132 significantly increased p-Tau in Tau expressing cells (p < 0.001).
Bafilomycin-A1 robustly increased p-Tau in Aβ1-42 (+DMSO) infected cells (Figure 1D, n = 5, p < 0.034) and Nilotinib had no effect on p-Tau with Bafilomycin-A1. Lentiviral expression was verified by Western blots (WB) showing equal levels of V5 lentiviral tag (Figure 1D insert, 1st blot) in cells expressing lentiviral human Aβ1-42 (2nd blot) or human Tau (3rd blot) compared to total Tau levels (4th blot) relative to actin (5th blot). The ELISA results of Tau metabolism were confirmed with WB using AT8 antibody (Figure 1E, n = 4). Tau or Aβ significantly (p < 0.05) increased p-Tau compared to LacZ (1st blot) or in the presence of MG132 (3rd blot) or Bafilomycin-A1 (5th blot) relative to actin. Nilotinib reduced p-Tau relative to actin (1st blot, p < 0.05) when Aβ1-42 and Tau were expressed together or separately in the presence or absence of MG132, while Bafilomycin-A1 blocked the effects of Nilotinib on p-Tau reduction.
To further determine the effects of Aβ1-42 and p-Tau on proteasome activity, a chymotrypsin-like assay in M17 neuroblastoma showed that Aβ1-42 (with DMSO) significantly decreased proteasomal function (Figure 1F, n = 6, p < 0.001) compared to LacZ (DMSO), but Nilotinib partially reversed Aβ1-42 effects on proteasome function (p < 0.01) in cells expressing Aβ1-42 alone or together with Tau. Tau did not affect proteasomal function, but Tau and Aβ1-42 together significantly reduced proteasome activity (p < 0.04) compared to Tau or LacZ. MG132 completely inhibited the proteasome. However, Bafilomycin-A1 did not affect proteasomal activity in control (LacZ) or Tau expressing cells, but significantly decreased it in Aβ1-42 expressing cells with and without Tau, further suggesting that lack of Aβ1-42 clearance affects proteasome activity. The effects of Nilotinib on lentiviral human Aβ1-42 and Tau expression were verified by RT-PCR using the same primers that were utilized to clone Aβ1-42 and Tau into the lentivirus as we previously described [13, 15, 19]. Nilotinib did not affect Aβ1-42 (Figure 1G, top blot) and Tau (Figure 1G, bottom blot) RNA levels compared to DMSO relative to GAPDH, suggesting that Nilotinib does not alter lentiviral expression.
Tau is required for autophagic amyloid clearance
These results were also conducted in vivo in WT (C57BL/6) and Tau−/− mice, which are relevant to our experiments because organelle movement was reported to be impaired in these mice [20, 21], which my potentially affect autophagosome movement. Mice were stereotaxically injected into the hippocampus with V5-tagged lentiviral constructs driving human Tau and Aβ1-42 expression and adjusted with LacZ to 1×106 multiplicity of infection (MOI). Animals were treated 3 weeks post-injection with daily 10 mg/kg intraperotineal (I.P) injection of Nilotinib or 30 μL DMSO once a day for 3 (additional) consecutive weeks as we previously reported [14, 16]. To verify equal expression of lentiviral clones, 20 μm thick coronal brain sections were co-stained for human specific Aβ1-42, p-Tau and V5 as shown in Additional file 1: Figure S1. No human (or mouse) Aβ1-42 was detected by ELISA in human Tau expressing WT mice (Figure 2C, n = 4), but Nilotinib reduced Aβ1-42 levels when Aβ1-42 was expressed alone (p < 0.0001) or together with human Tau (p < 0.001). Human Aβ1-42 was significantly higher (p < 0.01) in Aβ1-42 expressing Tau−/− mice compared to Aβ1-42 expressing WT mice (Figure 2C, n = 4). Nilotinib failed to reduce Aβ1-42 levels in Tau−/− mice compared to WT, but introduction of lentiviral human WT Tau with Aβ1-42 into Tau−/− mice significantly reduced Aβ1-42 (p < 0.05) compared to Aβ1-42 alone. These data suggest that exogenous human Tau facilitates autophagic Aβ1-42 clearance. It is important to note that no changes were observed with mouse Aβ1-42 when lentiviral human Tau or Aβ1-42 were expressed in WT or Tau−/− mice (data not shown), and no changes were detected in APP cleaving enzymes , indicating no changes in APP processing.
The effects of Nilotinib on p-Tau clearance were also examined. Nilotinib reduced p-Tau (Figure 2D, n = 4, p < 0.01) in Tau over-expressing WT mice and when Tau and Aβ1-42 were expressed together (p < 0.015), which led to more p-Tau than Tau alone (p < 0.02). However, p-Tau was significantly lower (Figure 2D, n = 4, p < 0.037) in human Tau expressing Tau−/− compared to WT mice, and although Aβ1-42 together with Tau significantly increased p-Tau in Tau−/− mice (p < 0.04), p-Tau remained significantly lower (p < 0.05) in Tau−/− compared to WT mice. Nilotinib did not change p-Tau when human Tau was expressed alone in Tau−/− mice, but it significantly reduced it (p < 0.03) when Aβ1-42 and Tau were co-expressed.
Tau deletion impairs autophagic flux in mouse brain
Further ELISA measurement of Ser396 p-Tau showed significantly high levels of p-Tau in AV10 (Figure 3D, n = 4, p < 0.0001) and AV20 (Figure 3E, p < 0.001) in Aβ1-42 expressing WT mice compared to LacZ (+DMSO), but Nilotinib reduced p-Tau in AV10 (Figure 3D, p < 0.001) and increased it in the lysosomes (Figure 3F, p < 0.001). Expression of Aβ1-42 together with Tau in WT mice significantly increased p-Tau in AV10 (Figure 3D, n = 4, p < 0.001) compared to Aβ1-42 alone, but Nilotinib again reduced p-Tau in AV10 (p < 0.03) and increased it in AV20 (Figure 3E, p < 0.03). Nilotinib also reduced p-Tau in AV10 (Figure 3D, p < 0.03) and AV20 (Figure 3E, p < 0.04) in Tau expressing WT mice. Lentiviral Tau expression led to detection of p-Tau in AV10 (Figure 3D) and AV20 (Figure 3E) but not in the lysosomes in Tau−/− mice and Nilotinib did not alter p-Tau levels, suggesting that exogenous Tau may not affect autophagic p-Tau clearance. However, when Tau was co-expressed with Aβ1-42 in Tau−/− mice, Nilotinib significantly decreased p-Tau in AV10 (Figure 3D, p < 0.01) and AV20 (Figure 3E, p < 0.05) and increased it in lysosomes (Figure 3F, p < 0.001), indicating that exogenous Tau affects Aβ1-42 and p-Tau clearance in Tau−/− mice.
We previously demonstrated an effect for parkin and Nilotinib on autophagic Aβ1-42 clearance [14, 16], so we used lentiviral parkin expression as a control for Nilotinib to show markers of autophagic changes. WB of total brain lysates shows equal V5 levels (Figure 3G, n = 5) in WT mice, indicating equal expression of lentiviral clones. Human Tau (HT7) was only detected in WT mice expressing human Tau (Figure 3G) and was decreased in the presence of parkin or Nilotinib (n = 5, p < 0.05), in agreement with ELISA. However, total Tau (Tau-5) and p-Tau (AT8) were increased in Tau (n = 5, p < 0.05) and Tau and Aβ1-42 (p < 0.05) expressing WT mice, but both parkin and Nilotinib decreased p-Tau (38 and 50%, respectively, p < 0.04) relative to actin. Nilotinib significantly decreased p-Tau at Ser262 (44%) and Ser 396 (53%) relative to actin in Aβ1-42 alone or with Tau in WT mice (Figure 3H, n = 5, p < 0.05).
Tau expression decreased the autophagy enzyme, Beclin-1 compared to LacZ relative to actin (Figure 3H and Additional file 1: Figure S1 1 M, n = 5), but Nilotinib and parkin increased Beclin-1 levels (40% and 51%, respectively, p < 0.05) relative to actin when Aβ1-42 was expressed alone or together with Tau (Figure 3H and Additional file 1: Figure S1 1 M, n = 5). No significant changes in LC3-I levels (Figure 3H and Additional file 1: Figure S1 1 M, n = 5) were detected in WT mice but LC3-II was increased in Tau (100%) or Tau and Aβ1-42 (44%) relative to LC3-I or actin (Figure 3H and Additional file 1: Figure S1 1 M, n = 5, p < 0.001). LC3-II disappeared in Nilotinib and parkin mice, suggesting enhanced autophagosome clearance. Equal V5 levels (Figure 3I, n = 5) were also detected in Tau−/− mice, and human Tau (HT7) was only detected in lentiviral Tau expressing Tau−/− mice (Figure 3I) and disappeared in the presence of parkin or Nilotinib (n = 5). Total Tau (Tau-5) and p-Tau (AT8) were detected in Tau expressing mice but both parkin and Nilotinib cleared p-Tau relative to tubulin. Nilotinib eliminated Ser262 and Ser 396 p-Tau when Aβ1-42 was expressed alone or with Tau in Tau−/− mice (Figure 3J, n = 5, p < 0.05). Tau expression decreased Beclin-1 compared to LacZ relative to actin (n = 5) but Nilotinib and parkin increased Beclin-1 (35% and 59%, respectively, p < 0.05) relative to actin levels when Aβ1-42 was expressed alone or together with Tau (Figure 3J and Additional file 1: Figure S1 1 M, n = 5). LC3-II significantly increased in Tau (58%) alone or with Aβ1-42 (48%) relative to LC3-I (n = 5, p < 0.05). LC3-II was reversed back to LacZ with Nilotinib and parkin, suggesting autophagosome clearance.
Nilotinib reduces p-Tau when exogenous Tau is expressed in Tau−/−mice
Tau deletion reduces intracellular Aβ1-42 and contributes to plaque formation
Tau deletion attenuates Aβ1-42-induced cell death despite the increase in plaque load
These studies demonstrate that autophagic intracellular Aβ1-42 clearance requires Tau, suggesting that normal Tau function modulates plaque deposition via regulation of intracellular Aβ1-42 degradation. Inhibition of either the proteasome or autophagy led to partial Aβ1-42 and p-Tau clearance, suggesting that Aβ1-42 and p-Tau may be degraded via either autophagy and/or the proteasome. Tau deletion impaired intracellular Aβ clearance and increased extracellular plaque formation, while introduction of human Tau into Tau−/− brains restored autophagic Aβ1-42 and p-Tau clearance and reduced plaques. We previously demonstrated that the E3 ubiquitin ligase parkin is essential for Nilotinib-induced autophagic amyloid clearance . However, parkin and Tau differentially alter autophagic flux. Parkin deletion affects the transfer of Aβ1-42 and p-Tau from pre-lysosomal AVs, suggesting impairment of the earlier steps of the sequestration process [14, 16]. Tau deletion affects the deposition of amyloids from AVs into the lysosomes, indicating that Tau is required for the completion of autophagic clearance. However, impairment of autophagic flux with either Tau or parkin deletion leads to plaque deposition, further suggesting that reduction of intracellular Aβ1-42 clearance may lead to its secretion. Nilsson et al.  recently showed that blocking autophagy via ATG7 deletion in AD mouse diminishes extracellular Aβ release, increases its intracellular level and reduces extracellular amyloid plaque. Our results suggest that Tau deletion reduces intracellular Aβ level and increases plaque build-up. Nilsson et al.  model inhibited autophagy at an early pre-autophagosomal level where an ubiquitin-like reaction involving ATGs triggers autophagy, leading to autophagosome formation and subsequent maturation . Our model demonstrated impairment of autophagic flux at a later pre-lysosomal stage, where Aβ and/or Tau have already accumulated in autophagosomes without deposition into the lysosomes. Thus, Aβ release and plaque formation may depend on the type of impairment along the autophagic cascade, suggesting that pre-autophagosomal inhibition of flux results in intracellular accumulation and less Aβ secretion whereas arrest of autophagic flux after Aβ deposition in undigested autophagosomes leads to Aβ secretion and plaque formation.
Tau maybe required to facilitate autophagosome maturation and retrograde transport from distal axons towards cell bodies to fuse with lysosomes , thus contributing to modulation of autophagic flux. Our data suggest that Tau deletion reduces intracellular Aβ degradation , which may be due in part to axonal changes that affect efficient autophagosome fusion with the lysosome in the Tau−/− mouse, which is reported to have impaired organelle movement [20, 21]. The normal role of Tau in autophagy was shown in cellular models of Niemann-Pick type C (NPC) disease showing that acute reductions of Tau in NPC1-deficient fibroblasts impairs autophagy . As autophagy is up-regulated in NPC and protein degradation may depend on movement along microtubules, Tau knockdown aggravates NPC pathology through a mechanism independent of Tau aggregation  as is often observed in neurodegenerative diseases, further suggesting a critical role for normal Tau in the regulation of autophagy. Taken together these data raise the possibility that loss of Tau function via mutations, deletion or hyper-phosphorylation may lead to decreased Tau binding to microtubules and subsequent impairment of autophagic flux, which may alter the distribution of intracellular and extracellular Aβ1-42 overtime. Tau may affect autophagic flux via interaction with autophagy enzymes, including Beclin-1 and the microtubule associated protein A/B light chain (MAPA/BLC)-3. We previously showed that p-Tau co-localizes with LC3 in rat brains expressing WT or mutant P301L Tau  and the elucidation of the molecular mechanisms underlying interaction between Tau and autophagy proteins is an area for future investigation.
A number of studies suggested that facilitation of Tau clearance via up-regulation of the proteasome or autophagy can protect cells from age-related stress [29, 30]. Previous studies showed that impaired autophagy may affect proteasomal activity , but the interplay between autophagy and the proteasome may not be a simple compensatory relationship. Our studies show that loss of normal Tau function via deletion impairs autophagic flux, independent of proteasomal activity. We demonstrated that introduction of WT Tau into Tau−/− mice partially restores autophagic Aβ1-42 clearance, indicating that exogenous human Tau expression may affect Aβ1-42 levels. Expression of exogenous Tau may restore Aβ1-42 clearance due to possible integration of Tau into microtubules, leading to facilitation of autophagy. However, the relationship between Aβ and Tau is contentious with more recent in vivo reports demonstrating that Tau deletion prevents Aβ toxicity, and previous cell culture studies showing that Aβ triggers Tau pathology (reviewed in ). Our data show that Tau deletion exacerbates extracellular plaque build-up but attenuates cell death, indicating that Tau may modulate Aβ1-42 toxicity via alteration of intracellular and extracellular Aβ1-42 levels. Clinically, some aged human brains have plaques with no associated dementia or major cognitive decline [10, 11]. However, Aβ and Tau together are often associated with dementia  and Tau mutations and/or accumulation are causal to some neurodegenerative diseases that do not display β-amyloid pathology, including FTDP-17, PSP, and CBD, suggesting that Tau associated neurodegeneration can occur independently of plaque deposition [6, 7]. Taken together, these clinical findings support our hypothesis that Tau may be a critical modulator of Aβ1-42 toxicity through autophagic clearance of toxic intracellular Aβ1-42 , which may be secreted when autophagy fails, leading to extracellular plaque deposits.
In conclusion, loss of normal Tau function may alter microtubule stability and affect the execution of autophagy. Our findings agree with previous studies that basal autophagy is essential and elevated autophagic activity is beneficial for neurons to prevent accumulation of protein aggregates [33–36]. The current studies demosntrate that Tau is required to mediate the beneficial effects of autophagic clearance. Boosting autophagy was shown to reduce free unbound p-Tau and spare microtubule associated protein Tau in models of neurodegeneration [14, 37]. The current studies suggest that Tau function regulates intracellular Aβ1-42 clearance and affects extracellular plaque deposition.
Primary hippocampal neuronal culture
Fetal WT hippocampal tissue (gestation E15) were dissected and gently triturated with a fire-polished Pasteur pipette, and the resulting pool of dissociated cells were plated in 35-mm dishes precoated with polyethyleneimine (1 mg/ml) (MP Biomedicals NC-N19544450) containing 0.5 ml basal growth medium, which was supplemented with 5% horse serum and 0.5% fetal calf serum and replaced with fresh medium every three days. DIV 14 or when the density of cells reached 3×104 cells, neurons were infected with 3 μl lentiviruses for 24 hrs and then treated with 10 μM Nilotinib (AMN-107, NC0604306, SELLECK CHEMICAL LLC) or 1 μL DMSO for 24 hrs or 100 nM Bafilomycin-A1(AC32812-0001, Acros Organics) or 20 μM MG132 (NC9819784, Cayman Chemicals) for 6 hrs.
Lentiviral constructs driving LacZ, human WT Tau and/or Aβ1-42 were stereotaxically injected at 1×106 multiplicity of infection (MOI) into the right CA1 hippocampus of 1 year old male C57BL/6 or Tau−/− as we previously explained [14, 18]. All procedures were approved by the Georgetown University Animal Care and Use Committee (GUACUC). Nilotinib was dissolved in DMSO and a total volume of 30 μl was I.P. injected once a day for 3 weeks. Half the animals received DMSO and the other half received Nilotinib in DMSO.
To extract the soluble protein fraction, brain tissue or cells were isolated and homogenized in 1× STEN buffer (50 mM Tris (pH 7.6), 150 mM NaCl, 2 mM EDTA, 0.2% NP-40, 0.2% BSA, 20 mM PMSF and protease cocktail inhibitor), centrifuged at 10,000 g for 20 min at 4°C and the supernatant containing the soluble protein fraction was collected. To extract insoluble Aβ1-42, the pellet was re-suspended in 30% formic acid and centrifuged at 10,000 g for 20 min at 4°C and the supernatant was collected. Extracts were analyzed by WB on SDS NuPAGE 4-12% Bis-Tris gel (Invitrogen, NP0301BOX). β-actin was probed (1:1000) with polyclonal antibody (ThermoScientific, PA121167). Autophagy antibodies, including Beclin-1 (1:1000) and LC3-B (1:1000) were used to probe according to autophagy antibody sampler kit (Cell Signaling, Inc. Cat# 4445). Tau antibodies were used as we previously described [14, 18]. WBs were quantified by densitometry using Quantity One 4.6.3 software (Bio Rad).
IHC of brain sections
Animals were deeply anesthetized with a mixture of (1:8) Xylazine (Edgewood Pharmacy, 20130822) and Ketamine (Butler Animal Health Supply, 023061), washed with 1× saline for 1 min and then perfused with 4% (PFA) paraformaldehyde (MP Biomedicals, ICN15014601) for 15–20 min. Brains were quickly dissected out and immediately stored in 4% PFA for 24 hrs at 4°C and then transferred to 30% sucrose at 4°C for 48 h. Tissues were cut using a cryostat at 4°C into 20 μm thick sections and stored at −20°C. Cupric silver and immuno-staining were performed as we previously described [14, 18].
Stereological methods were applied by a blinded investigator using unbiased stereology analysis (Stereologer, Systems Planning and Analysis, Chester, MD) to determine the total positive cell counts in 20 cortical/hippocampal fields on at least 10 brain sections (~400 positive cells per animal) from each animal.
Quantification of plaque load or counting plaque number was performed by a blind investigator using ImageJ by drawing a line around individual plaques within 1 mm2 radius of 6 randomly selected hippocampal and cortical regions in 6E10 stained slides. The number of plaques was averaged per mm2 and compared between treatment condition, as we previously described [14, 18].
Subcellular fractionation for isolation of autophagic compartments
A total of 0.5 g of animal brains were homogenized at low speed (Cole-Palmer homogenizer, LabGen 7, 115 Vac) in 1× STEN buffer and centrifuged at 1,000 g for 10 min to isolate the supernatant from the pellet. The pellet was re-suspended in 1× STEN buffer and centrifuged once to increase the recovery of lysosomes. The pooled supernatants were then centrifuged at 100,000 rpm for 1 hr at 4°C to extract the pellet containing autophagic vacuoles (AVs) and lysosomes. The pellet was re-suspended in 10 ml (0 .33 g/ml) 50% Metrizamide (Acros Organics, AC22943-0250) and 10 ml in cellulose nitrate tubes. A discontinuous Metrizamide gradient was constructed in layers from bottom to top as follows: 6 ml of pellet suspension, 10 ml of 26%; 5 ml of 24%; 5 ml of 20%; and 5 ml of 10% Metrizamide . After centrifugation at 10,000 rpm for 1 hr at 4°C, the fraction floating on the 10% layer (Lysosome) and the fractions banding at the 24%/20% (AV 20) and the 20%/10% (AV10) Metrizamide inter-phases were collected by a syringe and examined.
20S proteasome activity assay
Human M17 neuroblastoma cells were co-transfected with 3 μg Tau, LacZ or Aβ1-42 cDNAs for 24 hrs and then treated with 10 μM Nilotinib for additional 24 hrs (48 hrs total). Either 20 μM proteasomal inhibitor MG132 or 100nM autophagy inhibitor Bafilomycin-A1 were applied for 6 hrs prior to the beginning of proteasome activity assays. Cell extracts (100 μg) were incubated with 250 μM of the fluorescent 20S proteasome specific substrate Succinyl-LLVY-AMC (Enzo Life Sciences, BML-P802-0005) at 37°C for 2 hrs. The medium was discarded and proteasome activity was measured in tissue homogenates
Aβ and p-Tau enzyme-linked immunosorbent assay (ELISA)
Specific p-Tau ser396 (Invitrogen, KHB7031) and Aβ1–42 (Invitrogen, KHB3442,) ELISA were performed according to manufacturer’s protocol as described [15, 19]. Caspase-3 activity assays were performed according to manufacturer’s protocol as we previously described [14, 18].
Data were analyzed with GraphPad software (GraphPad Prism, CA) using two-way ANOVA. The number of experiments and p values are indicated in the text.
qRT-PCR in primary hippocampal neuronal culture was performed on Real-time OCR system with Fast SYBR-Green PCR master Mix (Applied Biosystems, NC0381818) in triplicate from reverse-transcribed cDNA from mouse primary cortical neurons injected with lentiviral LacZ, Tau and/or Aβ1-42 (24 hrs) treated with DMSO or Nilotinib (24 hrs) using the same primers that were utilized to clone human Aβ1-42  or Tau  into the lentivirus. Gene expression values were normalized using GADPH levels.
Funding for these studies was provided by Merck & Co and Georgetown University grants to Charbel Moussa.
- Selkoe DJ: Alzheimer's disease: genes, proteins, and therapy. Physiol Rev. 2001, 81: 741-766.PubMedGoogle Scholar
- Gotz J, Chen F, van Dorpe J, Nitsch RM: Formation of neurofibrillary tangles in P301l tau transgenic mice induced by Abeta 42 fibrils. Science. 2001, 293: 1491-1495. 10.1126/science.1062097.View ArticlePubMedGoogle Scholar
- King ME, Kan HM, Baas PW, Erisir A, Glabe CG, Bloom GS: Tau-dependent microtubule disassembly initiated by prefibrillar beta-amyloid. J Cell Biol. 2006, 175: 541-546. 10.1083/jcb.200605187.PubMed CentralView ArticlePubMedGoogle Scholar
- Roberson ED, Scearce-Levie K, Palop JJ, Yan F, Cheng IH, Wu T, Gerstein H, Yu GQ, Mucke L: Reducing endogenous tau ameliorates amyloid beta-induced deficits in an Alzheimer's disease mouse model. Science. 2007, 316: 750-754. 10.1126/science.1141736.View ArticlePubMedGoogle Scholar
- Vossel KA, Zhang K, Brodbeck J, Daub AC, Sharma P, Finkbeiner S, Cui B, Mucke L: Tau reduction prevents Abeta-induced defects in axonal transport. Science. 2010, 330: 198-10.1126/science.1194653.PubMed CentralView ArticlePubMedGoogle Scholar
- See TM, LaMarre AK, Lee SE, Miller BL: Genetic causes of frontotemporal degeneration. J Geriatr Psychiatry Neurol. 2010, 23: 260-268. 10.1177/0891988710383574.View ArticlePubMedGoogle Scholar
- Short RA, Graff-Radford NR, Adamson J, Baker M, Hutton M: Differences in tau and apolipoprotein E polymorphism frequencies in sporadic frontotemporal lobar degeneration syndromes. Arch Neurol. 2002, 59: 611-615. 10.1001/archneur.59.4.611.View ArticlePubMedGoogle Scholar
- Giannakopoulos P, Herrmann FR, Bussiere T, Bouras C, Kovari E, Perl DP, Morrison JH, Gold G, Hof PR: Tangle and neuron numbers, but not amyloid load, predict cognitive status in Alzheimer's disease. Neurology. 2003, 60: 1495-1500. 10.1212/01.WNL.0000063311.58879.01.View ArticlePubMedGoogle Scholar
- Ethell DW: An amyloid-notch hypothesis for Alzheimer's disease. Neuroscientist. 2010, 16: 614-617. 10.1177/1073858410366162.View ArticlePubMedGoogle Scholar
- Balasubramanian AB, Kawas CH, Peltz CB, Brookmeyer R, Corrada MM: Alzheimer disease pathology and longitudinal cognitive performance in the oldest-old with no dementia. Neurology. 2012, 79: 915-921. 10.1212/WNL.0b013e318266fc77.PubMed CentralView ArticlePubMedGoogle Scholar
- Kawas CH, Greenia DE, Bullain SS, Clark CM, Pontecorvo MJ, Joshi AD, Corrada MM: Amyloid imaging and cognitive decline in nondemented oldest-old: the 90+ Study. Alzheimers Dement. 2013, 9: 199-203. 10.1016/j.jalz.2012.06.005.PubMed CentralView ArticlePubMedGoogle Scholar
- Robinson JL, Geser F, Corrada MM, Berlau DJ, Arnold SE, Lee VM, Kawas CH, Trojanowski JQ: Neocortical and hippocampal amyloid-beta and tau measures associate with dementia in the oldest-old. Brain. 2011, 134: 3708-3715. 10.1093/brain/awr308.View ArticlePubMedGoogle Scholar
- Rebeck GW, Hoe HS, Moussa CE: Beta-amyloid1-42 gene transfer model exhibits intraneuronal amyloid, gliosis, tau phosphorylation, and neuronal loss. J Biol Chem. 2010, 285: 7440-7446. 10.1074/jbc.M109.083915.PubMed CentralView ArticlePubMedGoogle Scholar
- Lonskaya I, Hebron ML, Desforges NM, Franjie A, Moussa CE: Tyrosine kinase inhibition increases functional parkin-Beclin-1 interaction and enhances amyloid clearance and cognitive performance. EMBO Mol Med. 2013, 5: 1247-1262. 10.1002/emmm.201302771.PubMed CentralView ArticlePubMedGoogle Scholar
- Burns MP, Zhang L, Rebeck GW, Querfurth HW, Moussa CE: Parkin promotes intracellular Abeta1-42 clearance. Hum Mol Genet. 2009, 18: 3206-3216. 10.1093/hmg/ddp258.PubMed CentralView ArticlePubMedGoogle Scholar
- Lonskaya I, Hebron ML, Desforges NM, Schachter JB, Moussa CE: Nilotinib-induced autophagic changes increase endogenous parkin level and ubiquitination, leading to amyloid clearance. J Mol Med (Berl). 2014, 92 (4): 373-386. 10.1007/s00109-013-1112-3.View ArticleGoogle Scholar
- Lonskaya I, Shekoyan AR, Hebron ML, Desforges N, Algarzae NK, Moussa CE: Diminished parkin solubility and co-localization with intraneuronal amyloid-beta are associated with autophagic defects in Alzheimer's disease. J Alzheimers Dis. 2013, 33: 231-247.PubMedGoogle Scholar
- Khandelwal PJ, Herman AM, Hoe HS, Rebeck GW, Moussa CE: Parkin mediates beclin-dependent autophagic clearance of defective mitochondria and ubiquitinated Abeta in AD models. Hum Mol Genet. 2011, 20: 2091-2102. 10.1093/hmg/ddr091.PubMed CentralView ArticlePubMedGoogle Scholar
- Khandelwal PJ, Dumanis SB, Herman AM, Rebeck GW, Moussa CE: Wild type and P301L mutant Tau promote neuro-inflammation and alpha-Synuclein accumulation in lentiviral gene delivery models. Mol Cell Neurosci. 2012, 49: 44-53. 10.1016/j.mcn.2011.09.002.PubMed CentralView ArticlePubMedGoogle Scholar
- Dawson HN, Cantillana V, Jansen M, Wang H, Vitek MP, Wilcock DM, Lynch JR, Laskowitz DT: Loss of tau elicits axonal degeneration in a mouse model of Alzheimer's disease. Neuroscience. 2010, 169: 516-531. 10.1016/j.neuroscience.2010.04.037.PubMed CentralView ArticlePubMedGoogle Scholar
- Jimenez-Mateos EM, Gonzalez-Billault C, Dawson HN, Vitek MP, Avila J: Role of MAP1B in axonal retrograde transport of mitochondria. Biochem J. 2006, 397: 53-59. 10.1042/BJ20060205.PubMed CentralView ArticlePubMedGoogle Scholar
- Klionsky DJ, Abdalla FC, Abeliovich H, Abraham RT, Acevedo-Arozena A, Adeli K, Agholme L, Agnello M, Agostinis P, Aguirre-Ghiso JA, Ahn HJ, Ait-Mohamed O, Ait-Si-Ali S, Akematsu T, Akira S, Al-Younes HM, Al-Zeer MA, Albert ML, Albin RL, Alegre-Abarrategui J, Aleo MF, Alirezaei M, Almasan A, Almonte-Becerril M, Amano A, Amaravadi R, Amarnath S, Amer AO, Andrieu-Abadie N, Anantharam V, et al: Guidelines for the use and interpretation of assays for monitoring autophagy. Autophagy. 2012, 8: 445-544. 10.4161/auto.19496.PubMed CentralView ArticlePubMedGoogle Scholar
- Hebron ML, Lonskaya I, Moussa CE: Tyrosine kinase inhibition facilitates autophagic SNCA/alpha-synuclein clearance. Autophagy. 2013, 9: 1249-1250. 10.4161/auto.25368.PubMed CentralView ArticlePubMedGoogle Scholar
- Nilsson P, Loganathan K, Sekiguchi M, Matsuba Y, Hui K, Tsubuki S, Tanaka M, Iwata N, Saito T, Saido TC: Abeta secretion and plaque formation depend on autophagy. Cell reports. 2013, 5: 61-69. 10.1016/j.celrep.2013.08.042.View ArticlePubMedGoogle Scholar
- Maday S, Wallace KE, Holzbaur EL: Autophagosomes initiate distally and mature during transport toward the cell soma in primary neurons. J Cell Biol. 2012, 196: 407-417. 10.1083/jcb.201106120.PubMed CentralView ArticlePubMedGoogle Scholar
- Pacheco CD, Elrick MJ, Lieberman AP: Tau normal function influences Niemann-Pick type C disease pathogenesis in mice and modulates autophagy in NPC1-deficient cells. Autophagy. 2009, 5: 548-550. 10.4161/auto.5.4.8364.PubMed CentralView ArticlePubMedGoogle Scholar
- Pacheco CD, Elrick MJ, Lieberman AP: Tau deletion exacerbates the phenotype of Niemann-Pick type C mice and implicates autophagy in pathogenesis. Hum Mol Genet. 2009, 18: 956-965.PubMed CentralPubMedGoogle Scholar
- Hebron ML, Algarzae NK, Lonskaya I, Moussa C: Fractalkine signaling and Tau hyper-phosphorylation are associated with autophagic alterations in lentiviral Tau and Abeta1-42 gene transfer models. Exp Neurol. 2014, 251: 127-138.View ArticlePubMedGoogle Scholar
- Ghazi A, Henis-Korenblit S, Kenyon C: Regulation of Caenorhabditis elegans lifespan by a proteasomal E3 ligase complex. Proc Natl Acad Sci U S A. 2007, 104: 5947-5952. 10.1073/pnas.0700638104.PubMed CentralView ArticlePubMedGoogle Scholar
- Simonsen A, Cumming RC, Brech A, Isakson P, Schubert DR, Finley KD: Promoting basal levels of autophagy in the nervous system enhances longevity and oxidant resistance in adult Drosophila. Autophagy. 2008, 4: 176-184. 10.4161/auto.5269.View ArticlePubMedGoogle Scholar
- Korolchuk VI, Mansilla A, Menzies FM, Rubinsztein DC: Autophagy inhibition compromises degradation of ubiquitin-proteasome pathway substrates. Mol Cell. 2009, 33: 517-527. 10.1016/j.molcel.2009.01.021.PubMed CentralView ArticlePubMedGoogle Scholar
- Bloom GS: Amyloid-beta and Tau: The Trigger and Bullet in Alzheimer Disease Pathogenesis. JAMA Neurol. 2014, 71 (4): 505-508. 10.1001/jamaneurol.2013.5847.View ArticlePubMedGoogle Scholar
- Congdon EE, Wu JW, Myeku N, Figueroa YH, Herman M, Marinec PS, Gestwicki JE, Dickey CA, Yu WH, Duff KE: Methylthioninium chloride (methylene blue) induces autophagy and attenuates tauopathy in vitro and in vivo. Autophagy. 2012, 8: 609-622. 10.4161/auto.19048.PubMed CentralView ArticlePubMedGoogle Scholar
- Kruger U, Wang Y, Kumar S, Mandelkow EM: Autophagic degradation of tau in primary neurons and its enhancement by trehalose. Neurobiol Aging. 2012, 33: 2291-2305. 10.1016/j.neurobiolaging.2011.11.009.View ArticlePubMedGoogle Scholar
- Rodriguez-Navarro JA, Rodriguez L, Casarejos MJ, Solano RM, Gomez A, Perucho J, Cuervo AM, Garcia de Yebenes J, Mena MA: Trehalose ameliorates dopaminergic and tau pathology in parkin deleted/tau overexpressing mice through autophagy activation. Neurobiol Dis. 2010, 39: 423-438. 10.1016/j.nbd.2010.05.014.View ArticlePubMedGoogle Scholar
- Schaeffer V, Lavenir I, Ozcelik S, Tolnay M, Winkler DT, Goedert M: Stimulation of autophagy reduces neurodegeneration in a mouse model of human tauopathy. Brain. 2012, 135: 2169-2177. 10.1093/brain/aws143.PubMed CentralView ArticlePubMedGoogle Scholar
- Hebron ML, Lonskaya I, Moussa CE: Nilotinib reverses loss of dopamine neurons and improves motor behavior via autophagic degradation of alpha-synuclein in Parkinson's disease models. Hum Mol Genet. 2013, 22: 3315-3328. 10.1093/hmg/ddt192.PubMed CentralView ArticlePubMedGoogle Scholar
- Marzella L, Ahlberg J, Glaumann H: Isolation of autophagic vacuoles from rat liver: morphological and biochemical characterization. J Cell Biol. 1982, 93: 144-154. 10.1083/jcb.93.1.144.View ArticlePubMedGoogle Scholar
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