Alzheimer's disease is associated with a disruption of amyloid β (Aβ) homeostasis, resulting in the accumulation and subsequent deposition of Aβ peptides within the brain. The peroxisome proliferator-activated receptor-γ (PPARγ) is a ligand-activated nuclear receptor that acts in a coupled metabolic cycle with Liver X Receptors (LXRs) to increase brain apolipoprotein E (apoE) levels. apoE functions to promote the proteolytic clearance of soluble forms of Aβ, and we found that the synthetic PPARγ agonist, pioglitazone, stimulated Aβ degradation by both microglia and astrocytes in an LXR and apoE-dependent manner. Remarkably, a brief 9 d oral treatment of APPswe/PS1Δe9 mice with pioglitazone resulted in dramatic reductions in brain levels of soluble and insoluble Aβ levels which correlated with the loss of both diffuse and dense-core plaques within the cortex. The removal of preexisting amyloid deposits was associated with the appearance of abundant Aβ-laden microglia and astrocytes. Pioglitazone treatment resulted in the phenotypic polarization of microglial cells from a proinflammatory M1 state, into an anti-inflammatory M2 state that was associated with enhanced phagocytosis of deposited forms of amyloid. The reduction in amyloid levels was associated with a reversal of contextual memory deficits in the drug-treated mice. These data provide a mechanistic explanation for how PPARγ activation facilitates amyloid clearance and supports the therapeutic utility of PPARγ agonists for the treatment of Alzheimer's disease.
Alzheimer's disease (AD) is characterized by the accumulation and deposition of amyloid β (Aβ) within the brain because of inefficient clearance of these peptides (Mawuenyega et al., 2010; Querfurth and LaFerla, 2010). Aβ accumulation is associated with perturbations in synaptic function, neuronal loss, and memory and cognitive impairments (Lue et al., 1999; Akiyama et al., 2000b; Palop and Mucke, 2010).
Apolipoprotein E (apoE) is the principal genetic risk factor for sporadic, late-onset AD (Corder et al., 1993; Roses, 1996). apoE is synthesized mainly by astrocytes and plays an isoform-dependent role in modulating Aβ fibrillization and clearance (Holtzman, 2001; Zlokovic et al., 2005; Kim et al., 2009). apoE scaffolds the formation of high-density lipoproteins (HDLs), which traffic cholesterol and phospholipids (Kim et al., 2009). Lipids are transferred to apoE through the transporter, ABCA1 (Wahrle et al., 2004). Importantly, apoE-containing HDL particles facilitate the proteolytic degradation of soluble Aβ (sAβ) (Jiang et al., 2008).
The nuclear receptors, peroxisome proliferator-activated receptor-γ (PPARγ) and Liver X receptors (LXRs) are ligand-activated transcription factors that act as fatty acid and cholesterol sensors (Forman et al., 1997; Kersten et al., 2000). LXR activation induces HDL particle formation through apoe and abca1 expression (Lehmann et al., 1997; Tall, 2008). Sustained PPARγ or LXR activation results in amelioration of AD-related pathophysiology in AD mouse models (Yan et al., 2003; Pedersen and Flynn, 2004; Heneka et al., 2005; Koldamova et al., 2005a; Riddell et al., 2007; Zelcer et al., 2007; Jiang et al., 2008; Donkin et al., 2010; Fitz et al., 2010; Toledo and Inestrosa, 2010). Peripherally, LXRs and PPARγ participate in a coupled metabolic pathway, whereby activation of PPARγ induces expression of LXRα and its target genes abca1 and apoE (Chawla et al., 2001; Seo et al., 2004; Yue and Mazzone, 2009). However, these relationships have yet to be explored in the brain.
Aβ deposition elicits a robust “M1” microglia-mediated inflammatory response contributing to disease pathogenesis (Gordon, 2003; Mosser and Edwards, 2008; Mandrekar-Colucci and Landreth, 2010). It has recently been appreciated that PPARs act as master regulators governing the polarization of macrophages and microglia into “M2” or “alternative” activation states associated with the suppression of inflammation and promotion of phagocytosis and tissue repair (Chawla, 2010; Chinetti-Gbaguidi et al., 2011). While M2 gene expression has been detected in the AD brain, little is known about the mechanisms modulating this phenotypic conversion (Colton et al., 2006; Jimenez et al., 2008; Maier et al., 2008).
We demonstrate that PPARγ activation induces lxrα, apoe, and abca1 expression, promoting Aβ clearance by both microglia and astrocytes. Strikingly, a brief 9 d pioglitazone treatment of APP/PS1 mice reversed pathological and behavioral phenotypes in treated mice. We argue that sAβ clearance results from stimulation of apoE-dependent proteolysis of Aβ, whereas deposited Aβ is removed phagocytically by microglia as a result of a PPARγ-dependent alternative M2 polarization of microglia. These data provide a mechanistic link between PPARγ activation and amyloid clearance and support the therapeutic use of its agonists in AD.
Materials and Methods
The Aβ1–42 peptide was purchased from American Peptide Company, dissolved in DMSO to a final concentration of 1 μg/ml.
Primary microglia and astrocytes were cultured from postnatal day 0–3 C57BL/6J mice and have been previously described (McDonald et al., 1997). Briefly, pups were decapitated and the meninges and blood vessels were removed from the cortex. The cortices were then minced and trypsinized with 0.05% trypsin-EDTA (Invitrogen) for 20 min at 37°C. DMEM/F12 (Invitrogen) containing 10% heat-inactivated fetal bovine serum (HI-FBS, Atlanta Biologicals) and 1% penicillin-streptomycin (Invitrogen) were then added to stop trypsin digestion. Cells were then triturated and plated in 150 mm dishes (Invitrogen) at a density of half a cortex/plate. Medium was changed the following day to fresh DMEM/F12 with 10% HI-FBS and 1% penicillin/streptomycin and incubated for 14–21 d at 37°C, 5% CO2. Microglia were isolated as described by Saura et al. (2003). Briefly, the microglia were removed by shaking the tissue culture plates to remove loosely adherent microglia for 30 min. Astrocytes were removed next by 0.25% trypsin/HBSS diluted 1:3 in serum-free DMEM/F12 at 37°C for 30 min. The astrocytes were then collected by centrifugation at 2000 rpm for 5 min. The cells were resuspended in DMEM/F12 containing 10% HI-FBS and plated in 24 or 6 well plates (Invitrogen). Astrocyte medium was changed 20 min after plating to remove any microglial contamination of the cultures. Astrocytes were allowed to grow for 3–5 d before experiments. Firmly attached microglia were harvested using 0.25% trypsin/PBS. Loosely and firmly adherent microglia were then combined, and cells were counted and plated for experiments at the appropriate densities in DMEM/F12 medium containing HI-FBS. Medium was changed to serum-free DMEM/F12 overnight before beginning an experiment.
Aβ levels were quantified using an Aβ42-specific antibody, 6E10, as the capture antibody and detected using monoclonal 4G8 HRP-conjugated antibodies (Covance). Synthetic Aβ42 was used to generate a standard curve for each experiment. The plates were developed using the TMB substrate kit (Pierce), and the reaction was stopped by the addition of 1 m HCl. The results were read using a SpectraMax colorimetric plate reader (Molecular Devices). Primary mouse microglia or astrocytes were incubated with DMSO or relevant concentrations of pioglitazone (dissolved in DMSO), T0070907 (T0; 10 nm), 22S hydroxycholesterol (22HC; 10 μm) for 24 h at 37°C. Receptor antagonists require a 1–2 h preincubation. Cells were then treated with 2 μg/ml soluble Aβ42 in serum-free medium for 24 h with the specified treatments. Purified human plasma ApoE containing a mixture of all human ApoE isoforms (rPeptide) or human ApoAI was applied at the same time as soluble Aβ42. Cells were washed with PBS and lysed in 1% SDS. Aβ42 levels were measured using ELISA and normalized to total protein.
Western blot analysis.
Protein concentrations of cell lysates or brain extracts were measured using the BCA method (Pierce) and resolved on Bis-Tris 4–12% gels (Invitrogen). The following primary antibodies were used: anti-actin (Santa Cruz Biotechnology); anti-ApoE (Santa Cruz Biotechnology); anti-β-actin (Santa Cruz Biotechnology); anti-ABCA1 (Novus Biologicals); anti-GAPDH (Santa Cruz Biotechnology).
APPswe/PS1Δe9 (APP/PS1) transgenic mice [B6C3-Tg(APPswe, PSEN1dE9)85Bdo/J] were obtained from Jackson Laboratories (Jankowsky et al., 2004). APP/PS1 mice or wild-type littermates were gavaged daily for 9 d with 80 mg · kg−1 · d−1 pioglitazone or vehicle (water). Floxed PPARγ (PPARγfl/fl) mice [B6.129-Pparγtm2Rev] were obtained from Jackson Laboratory and were crossed with GFAP-cre mice [B6.Cg-Tg(Gfap-cre)73.12Mvs/J], also obtained from Jackson Laboratories, to generate mice that lacked PPARγ expression in astrocytes and cortical neurons. The animals were then killed and one hemisphere was fixed and processed for immunohistochemistry. The hippocampus and cortex were removed from the other hemisphere and snap-frozen and stored at −80°C until they were subject to RNA and protein extraction. Approximately equal numbers of male and female transgenic and nontransgenic mice were used for all experiments. While the number of mice analyzed for each dataset varies, the male-to-female ratio remained consistent. All experiments involving animals followed approved protocols by the Case Western Reserve University School of Medicine.
Tissue collection and immunohistochemistry.
Postfixed hemispheres were sectioned (10 μm) using a cryostat. Sections were mounted, air-dried, and then stored at −20°C until use. Thioflavin S (thioS) (Sigma) staining was performed by rehydrating sections and staining with 1% thioflavin S. Slides were coverslipped with Prolong Gold (Invitrogen). The numbers of thioS+ plaques were counted by a blinded observer. Alternate sections were stained with 6E10 following pretreatment with 70% formic acid for 3 min. Sections were then blocked with 5% normal goat serum and incubated overnight in primary antibody (6E10, 1:1000, Signet Laboratories; Iba1, 1:300, Wako; CD45, 1:500, Serotec; GFAP, 1:1000, Dako). Slides were incubated with the appropriate Alexa Fluor-conjugated secondary antibodies, followed by DAPI labeling of nuclei. Two sections per slide and 3 slides per animals, spaced evenly from 200 μm anterior to the appearance of the CA3 to the end of the hippocampus, were analyzed. Images were analyzed for the percentage area occupied by 6E10-positive amyloid plaques using Image Pro-Plus software (Media Cybernetics).
Brain homogenates and Aβ ELISA.
Cortices were removed from hemibrains and were homogenized in 800 μl of tissue homogenizing buffer (250 mm sucrose, 20 mm Tris, 1 mm EDTA, 1 mm EGTA in diethylpyrocarbonate water) containing Protease Inhibitor Cocktail (1:100, Sigma), using a glass-on-glass homogenizer at 4°C. The homogenate was centrifuged at 5000 × g for 10 min at 4°C, and supernatants were collected and stored at −80°C for Western blot analysis. For “soluble” Aβ extraction, 400 μl of homogenates were mixed with 400 μl of 0.4% diethylamine, 100 mm NaCl, and the samples were homogenized using a glass-on-glass homogenizer. Samples were centrifuged at 135,000 × g for 1 h at 4°C. Supernatants were collected, 0.5 m Tris-HCl, pH 6.8 was added, and the samples were stored at −80°C for analysis of soluble Aβ. The resulting pellet was sonicated in 70% cold formic acid and centrifuged at 109,000 × g for 1 h at 4°C. The supernatant was collected, the formic acid was neutralized, and the samples were stored at −80°C for the analysis of “insoluble” Aβ. Aβ1–40 and Aβ1–42 ELISAs were performed using 6E10 as the capture antibody and HRP-conjugated antibodies specific to Aβ1–40 and Aβ1–42 (Covance) for detection, and processed as described above. Samples were normalized to protein concentration using the BCA method.
RNA extraction, reverse transcription, and quantitative PCR.
Total RNA was isolated from cortices using RNA-Bee (Tel-Test). Equal amounts of the homogenate and RNA-Bee were combined, chloroform was added, and samples were mixed by vigorous shaking. Samples were incubated on ice for 15 min and then centrifuged at 13,000 × g for 15 min at 4°C. The aqueous phase was removed, combined with an equal amount of 70% ethanol, and applied to an RNeasy Mini Spin Column (Qiagen). RNA was eluted according to the manufacturer's instructions. RNA samples were analyzed for concentration and purity on a Nanodrop 2000 spectrophotometer (Thermo Fischer Scientific). cDNA was synthesized from RNA samples using a QuantiTect Reverse Transcription kit (Qiagen) per the manufacturer's instructions with 0.5 μg total RNA. Fourteen cycles of cDNA preamplification were performed according to the manufacturer's protocol using TaqMan PreAmp Master Mix for select primer sets (Applied Biosystems). Pre-Amplified cDNA was used for qPCR with the StepOne Plus Real Time PCR system (Applied Biosystems) in a 10 μl reaction for 40 cycles. Primers used were labeled with FAM probes including Abca1 (Mm01350760_m1), ApoE (Mm00437573_m1), LXRα (Mm00443451_m1), PPARγ (Mm01184322_m1), GFAP (Mm01253033_m1), Iba1 (Mm00479862_g1), CD45 (Mm01293575_m1), App (Hs00245154_m1), Bace1 (Mm00478664_m1), Psen1 (Mm00501184_m1), Tnfα (Mm99999068_m1), Ccl2 (Mm00441242_m1), Il-1β (Mm01336189_m1), Nos2 (Mm01309902_m1), Cox2 (Mm01307329_m1), Ym1 (Mm00657889_m1), Fizz1 (Mm00445109_m1), Arg1 (Mm00475988_m1), Socs1 (Mm00782550_s1), Tgf-β (Mm01178820_m1) and GAPDH (4352339E-0904021) with a VIC probe from Applied Biosystems. Analysis of gene expression was performed using the comparative Ct method (ΔΔCT), where the threshold cycle for the target genes was normalized to that of GAPDH (ΔCT), and the mRNA expression fold change was calculated using the equation 2−ΔΔCT, where ΔΔCT = ΔCT test sample − ΔCT calibrator sample.
Behavioral analysis; contextual fear conditioning.
In the training phase, mice were individually placed in the shock chamber to freely explore the environment for 2 min. Mice were exposed to the conditioned stimulus (CS: an 85 dB sound at 2800 Hz) for 30 s. After 2 s, the unconditioned stimulus (US: 0.56 mA) was delivered. After the CS/US pairing, the mice were kept in the chamber for another 30 s to measure the immediate freezing response. This process was repeated 4 times. Retention tests were performed 24 h later. Each mouse was returned to the same shock chamber for 5 min for contextual freezing measurements in the absence of tone and the number of freezes was measured. Freezing behavior was monitored by an automated tracking system (Coulbourn Instruments).
PPARγ facilitates the degradation of soluble Aβ through an LXR/ApoE-dependent pathway
Our previous work and that of others has demonstrated a role for LXR activation in stimulating the production of apoE and facilitating the proteolytic degradation of Aβ (Koldamova et al., 2005a; Riddell et al., 2007; Jiang et al., 2008; Donkin et al., 2010; Fitz et al., 2010). PPARγ acts within a common metabolic pathway with LXRs in peripheral macrophages, thus we sought to determine whether activation of PPARγ would activate LXR pathways and induce clearance of Aβ though an apoE-dependent mechanism in the CNS (Chawla et al., 2001; Hong and Tontonoz, 2008). Treatment of primary microglia or astrocytes with the synthetic agonist pioglitazone stimulated the intracellular degradation of soluble Aβ42 in a dose-dependent manner (Fig. 1A,D). Importantly, pioglitazone treatment of primary microglia and astrocytes resulted in the induction of the LXR target genes, abca1 and apoe in both cell types (Fig. 1B–F). Based on the degradation efficiency and gene induction data we chose a pioglitazone dose of 100 nm for microglia and 50 nm for astrocytes for the subsequent in vitro studies. To determine whether degradation of sAβ was dependent on the actions of PPARγ and LXRs, microglia and astrocytes were pretreated with antagonists of these receptors (T0 and 22HC, respectively; Lee et al., 2002; Kase et al., 2007). Both PPARγ and LXR antagonist treatment of microglia and astrocytes inhibited PPARγ-facilitated degradation of sAβ, suggesting that the activation of both PPAR and LXR pathways is necessary for the intracellular degradation of sAβ in these cell types (Fig. 2A,B).
ApoE has been shown to play a vital role in amyloid clearance and its expression is directly regulated by LXR activation (Beaven and Tontonoz, 2006; Jiang et al., 2008). Given the linkage of PPARγ to the LXR pathway, we sought to determine whether apoE was critically involved in PPARγ-mediated intracellular clearance of sAβ (Chawla et al., 2001). Microglia and astrocytes were obtained from apoe−/− pups and then treated with pioglitazone. Loss of apoe resulted in a significant impairment of intracellular sAβ degradation by both cell types in response to pioglitazone treatment (Fig. 2C,D). This was restored by the addition of exogenously supplied ApoE (a mixture of all human ApoE isoforms) or human apolipoprotein A1 (ApoA1) (Fig. 2C,D). ApoA1 is an HDL-associated apolipoprotein which is lipidated by ABCA1 and acts in a similar fashion to ApoE in the periphery (Koch et al., 2001; Denis et al., 2004; Smith et al., 2004), and has been shown to bind to Aβ (Koldamova et al., 2005b) and promote Aβ degradation (Jiang et al., 2008). Exogenous ApoE or ApoA1 stimulated the clearance of Aβ peptides from the media (Fig. 2E,F). Addition of ApoE or ApoA1 to pioglitazone-treated microglia or astrocytes (wild-type or ApoE−/−) did not have additive or synergistic effects on intracelluar sAβ degradation (Fig. 2E,F). These studies demonstrate that the effect of PPARγ agonists in vitro on sAβ degradation is dependent on the expression of apoE and simply elevating the levels of apolipoproteins are sufficient to facilitate sAβ clearance.
To determine the role of PPARγ in modulating the expression of the LXR target genes, apoE and abca1, mice lacking PPARγ gene expression in astrocytes, as well as most cortical neurons, were obtained by crossing a PPARγ fl/fl mouse with a mouse expressing hGFAP-cre. The PPARγ conditional knock-out (PPARγ CKO) mice display significantly lower levels of pparγ mRNA which was reduced in the cortices of these animals by >70% (data not shown). Six-month-old PPARγ CKO animals displayed more than a 50% reduction in cortical protein levels of abca1 and apoe, demonstrating the requirement for PPARγ in LXR actions in the brain and the normal expression of its target genes apoe and abca1 (Fig. 2G,H). These data document a robust PPARγ-LXR linkage in the brain which has not previously been recognized.
PPARγ activation rapidly stimulates the clearance of Aβ in a mouse model of AD
To determine the effects of PPARγ activation during both early and more advanced stages of amyloid pathogenesis, 6- and 12-month-old APPSwePSEN1ΔE9 (APP/PS1) mice were orally administered pioglitazone (80 mg · kg−1 · d−1) for 9 d. The APP/PS1 transgenic mice begin depositing fibrillar thioS+ plaques at ∼5–6 months of age. Pioglitazone treatment of 6 and 12 month animals resulted in a significant induction in cortical protein levels of both ABCA1 and ApoE (Fig. 3A–D). Additionally, the assessment of LXR target genes by quantitative real-time PCR showed a statistically significant increase in levels of mRNA for abca1, apoE, and lxrα (Fig. 3E,F). Pioglitazone-treated 12 month animals additionally showed an increase in levels of cortical pparγ mRNA (Fig. 3F). These experiments demonstrate that in vivo pioglitazone activates PPARγ and induces the expression of LXRα and its target genes in the AD brain, solidifying the linkage of a PPARγ-LXRα signaling pathway in the CNS. It should be noted that pioglitazone is poorly blood–brain barrier permeable, necessitating administration of the drug at 80 mg · kg−1 · d−1, a dose higher than previously administered (Maeshiba et al., 1997).
The brief 9 d treatment of APP/PS1 mice resulted in a striking reduction in cortical amyloid peptide levels and plaque burden. Immunohistochemical analysis of 6E10-immunoreactive plaques in cortical slices from animals of both ages revealed ∼40% and 30% (6 and 12 months, respectively) reduction in total levels of deposited Aβ compared with vehicle-treated APP/PS1 littermates (Fig. 4A–E). There was a parallel loss in the number of thioflavin S+ dense-core amyloid plaques, with an ∼40% and 30% decrease in the number of thioS+ plaques in 6 and 12 month animals, respectively (Fig. 4F). Remarkably, at 6 months of age, only 9 d of pioglitazone treatment reduced soluble and insoluble levels of Aβ by ∼50% (Fig. 4G,H). At 12 months of age, no significant change was seen in levels of soluble Aβ42; however, soluble levels of Aβ40 were reduced by 40% and insoluble levels of both Aβ40 and Aβ42 were reduced by 50% and 40%, respectively (Fig. 4K,L). This striking result suggests that short-term pioglitazone treatment not only reduces levels of sAβ but also results in the clearance of predeposited insoluble dense-core Aβ plaques in 12-month-old transgenic animals.
Quantitative reverse transcriptase PCR was performed to verify that the changes seen in amyloid pathology in response to PPARγ activation were due to increased proteolysis of the peptide and not to a change in levels of the amyloid precursor protein (APP) or components of the β and γ secretase. mRNA levels of app, bace1, or psen1 or protein levels of APP and APP C-terminal fragments were not altered in response to drug treatment compared with vehicle-treated littermates, suggesting that PPARγ activation does not alter the expression or processing of APP (Fig. 4I,J,M,N). Previous work has also suggested that PPAR activation may regulate the expression of key Aβ proteases, insulin-degrading enzyme (IDE) and neprilysin (Du et al., 2009; Kalinin et al., 2009). We monitored mRNA levels of IDE and neprilysin to determine whether pioglitazone treatment enhanced expression of these proteases and observed no change (data not shown). These data suggest that the changes seen in amyloid deposition were indeed a result of Aβ catabolism and not due to alterations in APP processing or changes in levels of Aβ-degrading enzymes.
Pioglitazone suppresses glial activation and enhances amyloid clearance
The appearance of plaques in the AD brain is associated with a robust induction of astrogliosis and microgliosis (Bornemann et al., 2001; Wegiel et al., 2001). Microglia and astrocytes are found in intimate association with amyloid plaques in both the AD brain and brains of AD mouse models (Itagaki et al., 1989; Wisniewski et al., 1992). The number of glial cells surrounding a plaque directly increases in proportion to the dimensions of the deposits (Stalder et al., 1999; Sasaki et al., 2002). Similarly, the induction of inflammatory mediators parallels amyloid deposition and the phenotypic activation of glial cells in the AD brain (Akiyama et al., 2000a; Wyss-Coray, 2006). Since PPARγ activation has been shown to result in potent anti-inflammatory actions and represses microglia-mediated inflammation, we examined the effects of pioglitazone treatment on glial activation status and their association with amyloid deposits (Combs et al., 2001).
We first assessed association of astrocytes with amyloid plaques in the brains of both vehicle- and pioglitazone-treated 6- and 12-month-old APP/PS1 animals. Pioglitazone treatment significantly reduced the levels of GFAP-immunoreactive astrocytes surrounding amyloid plaques in transgenic animals at both 6 and 12 months of age and seen by immunohistochemistry (Fig. 5A–L). It was not possible to determine astrocyte cell numbers surrounding amyloid deposits with this technique; thus, we measured the mRNA levels of gfap as a surrogate measure of astrocytosis. We found that GFAP was elevated in APP/PS1 animals, but was significantly reduced in both age groups after pioglitazone treatment (Fig. 5N,O). In vehicle-treated animals, we observed astrocytes in close association with 6E10-positive amyloid plaques (Fig. 5C,I). However, after pioglitazone treatment, astrocytes were seen diffusely surrounding Aβ deposits and very little contact was observed between GFAP-positive cells and amyloid plaques (Fig. 5F,L).
Surprisingly, internalized Aβ peptides were found only in astrocytes of pioglitazone-treated animals, as seen in z-stack images obtained by confocal microscopy (Fig. 5M). We never detected Aβ-positive astrocytes in vehicle-treated animals (data not shown). It is our impression that the numbers of Aβ-positive astrocytes in drug-treated animals represented only a minor subset of total astrocytes. We were unable to quantitatively evaluate this given the limitations of our astroglial marker, GFAP. These data support the view that PPARγ activation promotes the clearance of insoluble Aβ by astrocytes.
We next evaluated microglial reactivity surrounding amyloid deposits in vehicle- and pioglitazone-treated animals. The association of Iba1+ microglial cells with amyloid plaques was reduced at both 6 and 12 months of age after pioglitazone treatment (Fig. 6D–F,J–L). Based on qualitative immunohistological evaluation, we found abundant microglia closely associated with plaque cores in vehicle-treated animals (Fig. 6A–C,G–I). The mRNA levels for iba1 were significantly lower in pioglitazone-treated animals compared with vehicle-treated animals at 6 months of age and a trend toward a reduction was seen at 12 months of age (Fig. 6S,T). Remarkably, at 12 months of age, we found that most microglia in pioglitazone-treated APP/PS1 animals exhibited robust internalization of Aβ (Fig. 7C,D). Microglia containing small amounts of Aβ were visualized in ∼60% of microglial cells in vehicle-treated animals; however, the amount of Aβ internalized by microglia in vehicle-treated animals paled compared with microglia in the cortex of pioglitazone-treated animals (Fig. 7A–D) It is our qualitative assessment that >90% of the microglia in the cortex of drug-treated animals internalized vast quantities of amyloid. Bolmont et al. (2008) have shown that microglia in the AD brain are capable of taking up Aβs and delivering them to lysosomal compartments. However, robust amyloid phagocytosis in response to drug treatment, as seen here, has to our knowledge never been observed before. It was difficult to assess Aβ uptake by microglia in 6-month-old animals since these animals are at the earlier stages of amyloid deposition, and there are very few Iba1+ cells surrounding Aβ deposits in vehicle-treated animals and fewer still in pioglitazone-treated animals. These data suggest that in addition to the clearance of soluble forms of Aβ, pioglitazone treatment facilitated the removal of both diffuse and dense-core Aβ deposits by microglia and astrocytes, presumably through engaging the phagocytic machinery of these cells.
We also evaluated the expression by microglia of CD45, a tyrosine phosphatase that plays an integral role in immune signaling (Penninger et al., 2001). CD45 expression is elevated in microglia in the AD brain and is associated with classical M1 microglial activation (Masliah et al., 1991; Wilcock et al., 2001). In 6-month-old vehicle-treated animals, CD45 immunoreactivity was seen surrounding all 6E10-positive amyloid deposits (data not shown). However, only ∼50% of 6E10-positive deposits were associated with CD45+ microglia in pioglitazone-treated animals (data not shown). In 12 month animals, CD45+ microglia were associated with all amyloid deposits regardless of treatment (Fig. 6M–R). However, a trend for a reduction in cd45 mRNA levels was observed in pioglitazone-treated animals of both age groups (Fig. 6S,T). The reduction in levels of GFAP, CD45, and Iba1 in pioglitazone-treated animals may be attributed to the role of PPARγ in suppression of the inflammatory response.
Previous studies have demonstrated a role for PPARγ in polarizing macrophages to an alternative activation phenotype that is anti-inflammatory in nature and induces the phagocytic activity of cells (Mukundan et al., 2009; Chawla, 2010). Thus, we examined markers of M2 or alternative activation, which have been known to exert an anti-inflammatory phenotype and promote tissue repair as well as phagocytosis (Gordon, 2003; Mantovani et al., 2004; Mosser and Edwards, 2008). At 6 months of age, Fizz1 levels were significantly reduced in vehicle- and pioglitazone-treated APP/PS1 animals. Six-month-old APP/PS1 animals showed no differences in levels of Ym1 or Arg1 compared with WT animals. Pioglitazone, however, dramatically increased levels of the alternative activation marker, Ym1 mRNA in 6-month-old APP/PS1 animals (Fig. 7E). At 12 months of age, pioglitazone treatment elevated the expression of all M2 markers assayed, Fizz1, Ym1, and Arg1. Fizz1 levels remained reduced in 12-month-old APP/PS1 animals (Fig. 7F). Brain levels of the inflammatory cytokines, Il-1β and tnfα, were also reduced in 12- but not 6-month-old treated animals, verifying the anti-inflammatory effects of PPARγ activation after amyloid deposition (Fig. 7E,F). Additionally, we monitored an increase in levels of Tgf-β in 12-month-old, but not 6-month-old, APP/PS1 mice. TGF-β is associated with an “acquired deactivation” or “M2c” state that is associated with a suppression of the innate immune system and increased phagocytic capacity that is normally associated with tissue repair (Van Ginderachter et al., 2006; Mandrekar-Colucci and Landreth, 2010). To determine whether increased apoE levels in the brain parenchyma of these animals contributed to M2 polarization of microglia, we treated microglial cells in vitro with apoE or apoA1 and monitored mRNA levels of M2 markers, Ym1, Fizz1, Arg1, and TGF-β. Arg1 and TGF-β mRNA expression remained constant under all treatment paradigms while Ym1 or Fizz1 were not detected in the cultured microglia under any treatment condition (data not shown), suggesting that apoE does not play a role in the M2 polarization of microglial cells that is seen in vivo. These data suggest a conversion of microglial phenotype in APP/PS1 animals, from the classical M1 to an alternative M2 state following PPARγ activation, promoting the phagocytic removal of amyloid deposits by microglial cells.
PPARγ activation ameliorates Aβ-related behavioral deficits
Finally, we examined the effects of PPARγ activation on associative memory in APP/PS1 animals using a contextual fear conditioning assay. Twelve-month-old transgenic animals were treated orally for 9 d and trained and tested for contextual memory following a contextual fear conditioning protocol. Animals were trained for four consecutive training sessions and all groups exhibited learning (Fig. 8B). However, vehicle-treated APP/PS1 animals showed significant impairments in memory retention as evidenced by the low number of freezes in the cued environment (Fig. 8A). Treatment of APP/PS1 mice with pioglitazone resulted in significant behavioral improvement that was not different from wild-type animals. Additionally, pioglitazone treatment reversed noncognitive behavioral deficits seen in APP/PS1 animals and restored distance and speed traveled to levels comparable to wild-type animals in an open field (Lalonde et al., 2005). These results demonstrate that PPARγ activation results in the rapid improvement of memory in an AD mouse model.
We have documented the extraordinary efficacy of PPARγ activation in ameliorating the pathologic and behavioral deficits in an AD mouse model. Importantly, these dramatic changes were elicited after a short 9 d period of drug treatment. A primary finding of this study is the demonstration that PPARγ may act through distinct mechanisms to clear soluble and deposited, fibrillar forms of Aβ. Moreover, we have identified a previously unappreciated role of astrocytes in the removal of amyloid from the brain.
We report that the clearance of soluble forms of Aβ occurs through the ability of PPARγ to induce the expression of apoe through which it promotes sAβ degradation. We have previously documented that apoE acts to facilitate the proteolysis of soluble Aβ peptides both in the interstitial fluid and intracellularly by microglia through the actions of IDE and neprilysin, respectively (Jiang et al., 2008). In microglia, apoE facilitates soluble Aβ degradation through reduction of intracellular cholesterol levels and not through direct contact with the Aβ peptide (Lee et al., 2012). Recently, we have shown that activation of the Retinoid X Receptor, the obligate heterodimeric partner of PPARγ and LXRs, rapidly reverses AD pathology in mouse models of AD, and many of the beneficial effects seen in that study may occur through activation of PPAR signaling pathways (Cramer et al., 2012). The principal conceptual advance in this study was the recognition that in astrocytes and microglia the expression of apoe is robustly regulated through a coupled metabolic pathway regulated by PPARγ and LXRα, and genetic inactivation of PPARγ in astrocytes results in a dramatic reduction in the expression of these LXR target genes (Fig. 2). While this pathway has been well documented in the periphery, it was not recognized to be operative in the brain until now (Chawla et al., 2001).
A significant outcome of this study is a new appreciation for the roles of astrocytes in amyloid clearance. We report that astrocytes have the capacity to take up sAβ and degrade it in an apoE-dependent manner, similar to microglia (Figs. 1, 2; Jiang et al., 2008). Moreover, pioglitazone treatment resulted in intracellular Aβ accumulation in astrocytes, coincident with the reduction in plaque burden (Fig. 5). Astrocytes greatly outnumber microglia in the CNS, and their ability to remove even modest amounts of Aβ in the brain may have a significant impact on amyloid clearance in the brain. Amyloid-laden astrocytes were only found in the cortex of pioglitazone-treated animals and not in vehicle-treated APP/PS1 mice (Fig. 5). Several studies have shown that astrocytes are capable of taking up amyloid peptides (Funato et al., 1998; Matsunaga et al., 2003; Nagele et al., 2003; Lasagna-Reeves and Kayed, 2011), and in vitro this ability was restricted to adult astrocytes (al-Ali and al-Hussain, 1996; Wyss-Coray et al., 2003; Koistinaho et al., 2004; Pihlaja et al., 2008). This study strongly supports the view that PPARγ activation initiates amyloid clearance pathways in astrocytes and suggests a reevaluation for the role of astrocytes in amyloid clearance in AD.
Microglia are the principal immune effector cells in the CNS and are the only professional phagocyte in the CNS. These cells undergo a classical M1 inflammatory activation in response of amyloid deposition, leading to a proinflammatory milieu in the brain (Wyss-Coray, 2006; Heneka et al., 2010). An enigmatic feature of AD is that although microglia are competent phagocytes, they fail to effectively clear deposited Aβ from the brain. The basis of the inactivation of phagocytic function is unknown but is postulated to be the result of autocrine actions of cytokines (Koenigsknecht-Talboo and Landreth, 2005). PPARγ activation has been shown to enhance the phagocytic capabilities of peripheral M2 polarized macrophages (Chinetti-Gbaguidi et al., 2011). One striking finding in this study was the extraordinary ability of pioglitazone to stimulate microglia to phagocytose amyloid deposits from the transgenic mice (Fig. 7). Macrophages/microglia are capable of exhibiting a spectrum of phenotypic activation states which dictate their activities (Gordon, 2003; Mosser and Edwards, 2008; Mandrekar-Colucci and Landreth, 2010). Nuclear receptors have only recently been appreciated to play an crucial role in promoting the phenotypic change of macrophages from a “classically” M1 activated to alternatively activated M2 states (Odegaard et al., 2007, 2008; Zelcer et al., 2007; Bouhlel et al., 2008; Kalinin et al., 2009; Chawla, 2010). Activation of these nuclear receptors suppresses NFκB-mediated inflammatory responses and activates their phagocytic machinery (Zelcer et al., 2007; Mukundan et al., 2009; Glass and Saijo, 2010). In the AD brain, microglia fail to effectively phagocytose Aβ and are also impaired in their ability to degrade Aβ fibrils (Chung et al., 1999; Cameron and Landreth, 2010). Thus, modulating microglial activation status by targeting nuclear receptors appears to restore the competence of these cells to phagocytose and clear amyloid in the AD brain (Mukundan et al., 2009; Chinetti-Gbaguidi et al., 2011). We demonstrate that PPARγ activation in the APP/PS1 animals provoked the conversion of at least a subset of microglia from a classical to alternative activation states, suppressing proinflammatory gene expression (IL-1β, TNFα) and inducing the expression of anti-inflammatory genes (YM1, Fizz1, Arg1, TGF-β) associated with tissue repair (Fig. 7). This latter function is accompanied by expression of genes necessary for phagocytosis and induction of phagocytic activity and this is consistent with our observation of enhanced phagocytosis of fAβ by microglia. Terwel et al. (2011) have recently reported similar findings upon activation of LXRs in a mouse model of AD.
The actions of PPARγ in the brain of murine models of AD have been controversial, largely due to the poor penetrance of its agonists into the brain and active P-glycoprotein-mediated efflux mechanisms (Maeshiba et al., 1997; Hemauer et al., 2010). In the present study we have used a high dose of pioglitazone (80 mg · kg−1 · d−1) that is ∼8 times the clinically approved dose, to obviate this problem. Significantly, we have used a very short treatment interval (9 d), because of the expeditious induction of receptor-mediated gene expression. A number of studies of the thiazolidinedione agonists of PPARγ, pioglitazone (Actos) and rosiglitazone (Avandia), reported salutary effects of these drugs in murine models of AD (Mandrekar-Colucci and Landreth, 2011). Indeed, PPARγ agonists have been shown to effectively lower both soluble levels of Aβ, reduce plaque burden, and improve behavior in some AD mouse models (Yan et al., 2003; Camacho et al., 2004; Heneka et al., 2005; Nicolakakis et al., 2008; Escribano et al., 2010; Toledo and Inestrosa, 2010; Rodriguez-Rivera et al., 2011); however, there has been no consensus on the mechanisms of action (Pedersen and Flynn, 2004; Escribano et al., 2010; Toledo and Inestrosa, 2010). The anti-inflammatory actions of these drugs have been postulated to underlie their beneficial effects. However, other laboratories have explored additional mechanisms through which PPARγ may exert beneficial effects. Pederson and Flynn (2004) have suggested that PPARγ elicits behavioral improvements through its ability reduce peripheral corticosterone levels. Toledo and Inestrosa (2010) suggested that PPARγ activation could promote neuroprotection by activating the wnt signaling pathway. In this paper we have demonstrated yet another mechanism through which PPARγ activation may ameliorate AD pathophysiology.
Because of the efficacy of PPARγ agonist action in mouse models of AD, small clinical trials evaluated the effects of receptor activation and found that pioglitazone treatment improved memory and cognition in patients with mild to moderate AD (Hanyu et al., 2009; Sato et al., 2011). A larger phase II clinical trial showed improvements in memory retention and attention with the treatment of rosiglitazone (6 months) in patients who did not possess an ApoE4 allele (Risner et al., 2006). However, phase III clinical trials, using rosiglitazone, failed to show efficacy for the treatment of AD (Gold et al., 2010). It is important to note that in these trials rosiglitazone was administered at dosages that were much lower than those needed to see beneficial effects on AD pathophysiology in rodent models of the disease.
In this study we have demonstrated the rapid effects of PPARγ activation on amyloid clearance, microglial polarization, and the reversal of cognitive deficits associated with AD. Additionally, we have provided an explanation for how PPARγ modulates AD-related pathology in a mouse model. We have shown a mechanistic linkage between the PPARγ and LXR pathways, which had not previously been documented in the brain, and results in the production of lipidated ApoE particles, facilitating the degradation of soluble Aβ species (Fig. 9). PPARγ activation changes the inflammatory milieu of the brain by phenotypically polarizing microglia to an alternative, M2 phenotype, allowing them to phagocytically remove amyloid deposits (Fig. 9). These data suggest that brain-penetrant PPARγ agonists represent a promising therapeutic approach for the treatment of AD.
This work was supported by the National Institutes of Health (Grant 5-R01-AG030482). S.M.-C. was supported by a predoctoral Ruth L. Kirschstein National Research Service Award (F31 NS061445). We received support from the Case Western Reserve University (CWRU) Rodent Behavior Core and the Imaging Core Facility of the Department of Neurosciences at CWRU. We thank C.Y. Daniel Lee for his comments on the manuscript and technical assistance.
- Correspondence should be addressed to Dr. Gary E. Landreth, Alzheimer Research Laboratory, Department of Neurosciences, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106-4829.