Calcineurin overexpression regulates APP metabolism

Alzheimer’s disease (AD) is a complex neurodegenerative disease, pathologically characterized by the accumulation of β-amyloid peptide (Aβ) and intraneuronal neurofibrillary tangles. Production of the Aβpeptide by the regulated intra-membrane proteolysis of the β-amyloid precursor protein (APP) is a central event in AD.Cognitive decline observed in AD models is dependent on Aβgeneration. One of the downstream effects mediated by soluble Aβoligomersincludes the hyperactivation of calcineurin (CaN), a Ca2+and calmodulin (CaM)-dependent, serinethreonine protein phosphatase. CaN is one of the major phosphatase associated with cognitive and neurodegenerative effects of Aβ. A specific isoform of CaN, CaNAβ, is one of the most up-regulated mRNAs in brains of early stage AD patients. While Aβ’s ability to activate CaN has been well studied, not much is known about how increased levels of CaN in AD brain can contribute towards Aβgeneration. In this study we specifically investigate if increased levels of CaNAβ regulate APP metabolism. Our results demonstrate that increased CaNAβ expressionleads to increased APP levels and increased proteolytic products of APP, including Aβ. The data suggest that upregulation of CaN levels could contribute to neurodegeneration observed in AD by increasing levels ofAβ, potentially forming a pathogenic feed forward loop.

• Alzheimer’s Disease; Calcineurin; APP; Aβ; FK506

1. INTRODUCTION

Alzheimer’s disease (AD) is a progressive neurodegenerative brain disorder characterized by global cognitive decline involving memory, orientation, judgment, and reasoning [1]. The characteristic neuropathological hallmarks of AD include the presence of neurofibrillary tangles, senile plaques, and massive loss of neurons primarily in cerebral cortex and hippocampus in the brain [2]. The neurofibrillary tangles are paired helical filaments containing hyperphosphorylated form of the microtubule binding protein Tau. Senile plaques are extracellular deposits composed of β-amyloid (Aβ) peptide [2]. The Aβ peptides are generated by proteolytic processing of thelarge, type-I transmembrane protein, β-amyloid precursor protein (APP) [3]. Initially, APP is cleaved by β-secretase (BACE) to produce sAPPβ and a carboxy terminal fragment of 99 amino acids (CTF-99). Subsequently, CTF-99 is then cleaved by γ-secretase to produce Aβ and AICD (APP intracellular domain) [4]. Alternatively, nonamyloidogenic processing of APP can also occur. In this scenario, APP is initially cleaved by α-secretase (ADAM 9, 10, 17) to produce sAPPα and a CTF of 83 amino acids in length (CTF-83). This shorter CTF-83 is then cleaved by γ-secretase to produce p3 and AICD. Because Aβ is generated as part of the normal APP processing, deregulation of APP processing can alter the levels of Aβ being produced. Excessive production and accumulation of the Aβ peptide plays a fundamental role in AD pathology. Therefore, APP proteolysis is considered a central event in the development of AD.

Aβ’s ability to activate Calcineurin (CaN), a member of the serine/threonine protein phosphatase family, has been well studied [5-7]. Specifically, increased Aβ levels perturb intracellular calcium (Ca²⁺) levels which, in turn, lead to CaN hyperactivity. This Aβ-mediated increase in CaN activity has been shown to play a role in altered synaptic plasticity, neuronal apoptosis, loss of dendritic spines, simplification of dendritic arborization and neuritic dystrophies, elevation in glutamate, excitotoxic cell death and behavioral impairments observed in some AD mouse models [6-10]. Pharmacologic inhibition of CaN activity, using FK506, has been shown to partially attenuate these effects.

CaN is a heterodimer consisting of a 58 - 64 kDa catalytic subunit (CaNA) tightly bound to a 19 kDa regulatory subunit (CaNB) [11]. CaNA is composed of a catalytic domain and a regulatory domain that contains a CaNB binding sequence, a calmodulin (CaM) binding domain and an autoinhibitory domain. The phosphatase is activated when Ca²⁺/CaM binds to it, triggering a conformational change that releases the autoinhibitory domain from catalytic active site [12]. CaNA can also be activated by proteolytic cleavage of the autoinhibitory domain, resulting in a Ca²⁺/CaM-independent active phosphatase [13-16]. Three mammalian isoforms of CaNA (α, β, γ) have been identified, and their amino acid sequences have been highly conserved between different organisms [17]. CaNAα and CaNAβ are ubiquitously distributed, while CaNAγ is specifically expressed in the testis. The regulatory subunit CaNB, has two mammalian isoforms CaNB1 and CaNB2, which are also highly conserved and have four Ca²⁺ binding “EF-hands” each. CaNB1 is ubiquitously expressed as a heterodimer with CaNAα or β, while CaNB2 binds to CaNAγ and is expressed only in testis [11].

CaN is widely expressed in mammalian tissues, but its concentration in brain is 10 - 20 times higher than that found in other tissues [11]. In the brain, CaN accounts more than 1% of the total protein content [18,19]. Interestingly, levels of CaNAβ have been reported to be significantly upregulated in the Alzheimer’s disease hippocampus [20,21]. CaNAβ has also been shown to modulate tau phosphorylation state suggesting its role in development of neurofibrillary tangles [22]. In our study we investigate if CaNAβ overexpression, in HEK293 cells, alters levels of APP and its proteolytic products including Aβ.

2. EXPERIMENTAL PROCEDURES

2.1. Plasmids

CaNAβ (PPP3CB) overexpression plasmid (pCMVSPORT6) was purchased from Open Biosystems. Swedish APP₆₉₅ plasmid (pCMV-SPORT5) was generated in our lab by mutating APP₆₉₅ (pCMV-SPORT5).

2.2. Antibodies

Primary antibodies utilized were: a polyclonal antibody raised to the C-terminus of APP (A8717; Sigma Aldrich, Inc), C1/6.1 monoclonal antibody recognizing the Cterminus of APP was kindly provided by P. M. Mathews, an Anti-APP monoclonal antibody was used to detect levels of sAPP total (22C11, Millipore), a monoclonal anti-β-Actin antibody (A5441, Sigma Aldrich, Inc), a polyclonal antibody that recognizes APP phosphorylated at Thr668 (D90B8; Cell Signaling Technologies), a monoclonal antibody to the CaN catalytic subunit (C1956; Sigma, Inc).Secondary antibodies used were: goat antiRabbit IR-Dye800 CW (926-3211;LiCor Inc) and/or goat anti-Mouse IR Dye 680 (926-3200; LiCor Inc).

2.3. Cell Culture and Overexpression Experiments

HEK-293 cells were purchased from the American Type Culture Collection (ATCC) (Manassas, VA). HEK-293 cells were cultured in Dulbecco’s modified Eagles medium (DMEM), supplemented with 10% fetal bovine serum, penicillin (25,000 U/ml) and streptomycin (25,000 μg/ml). HEK293 cells were then transiently transfected with CaNAβ overexpression construct and an appropriate empty vector control. 48 hours post-transfection, cell lysates were collected and used for Western Blot analysis. Conditioned media from the above experiment was used to detect s-APP total and Aβ levels.

2.4. Western Blot Analysis

After the treatments, cells were washed twice with cold PBS and then lysed in RIPA Buffer (50 mM Tris, 150 mM NaCl, 1% SDS, 1% NP-40, 0.5% deoxycholate, pH 8.0) containing HALT protease and phosphatase inhibitor cocktail (ThermoFisher). 10 μl of the whole cell lysates were used to determine protein concentration (BCA Protein Assay Kit; Pierce, Inc.). Based on the protein concentrations, samples for Western Blot analysis were prepared using the 4× Nupage LDS sample buffer (InVitrogen, Inc.) containing 0.2% BME (β-Mercaptoethanol, Sigma Aldrich). Equal concentrations of protein were loaded into each well of NuPAGE 4% - 12% Bis Tris Gel. A molecular weight ladder (Two color protein standard, 928-40001, Li-COR) was always run alongside of the experimental samples. Proteins were then transferred from the gel to a 0.25 μm PVDF membrane (Millipore) using a semi-dry transfer apparatus. Blots were blocked (Blocking buffer, Li-COR) and then probed with primary and secondary antibodies. Target protein densitometry was quantified using the software (ODYSSEY Infrared imaging system, Application software) and normalized to the densitometry of β-actin. All Western blot experiments were performed in triplicates.

2.5. RNA Extraction and Quantitative PCR

48 hours post-transfection, cells were washed with cold PBS and total RNA was isolated using RNeasy Mini Kit (Qiagen Inc.). To quantify APP mRNA levels, cDNA was synthesized using total RNA, N6 random primers and SuperScript II Reverse Transcriptase (Invitrogen). cDNA was then diluted 1:15 using RNase free water and mixed with APP or GAPDH primer/probe sets (Applied Biosystems, Inc.; APP Catalog # Hs00169098_m1; GAPDH Catalog # Hs99999905_m1), 2× PCR Universal Master Mix (Applied Biosystems, Inc.) and amplified using an ABI 7500 Real Time PCR system following the manufacturer’s directions. GAPDH was used as an internal control. To determine differences in APP mRNA levels, we utilized the ΔΔCt method and calculated fold change.

2.6. Aβ ELISA

Aβ levels were determined using commercially available Human/Rat β Amyloid (40) ELISA Kit Wako (Wako Catalog #294-62501, 96 tests) according to the manufacturer’s instructions. Conditioned media obtained from the treatments were diluted 1:30 in manufacturer supplied sample buffer. Conditioned media was then used for measuring secreted Aβ₄₀. In brief, Aβ₄₀ levels (pg/ml) were quantified following the manufacturer’s instructions.

2.7. Statistical Analysis

Values in the text and figures are presented as means ± standard errors of at least three independent experiments. Equal variance or separate variance two-sample student’s t-test were used, as appropriate, to compare two groups. “*” indicates p < 0.05, “**” indicates p < 0.01, and “***” indicates p < 0.001. “n.s.” indicates p-values greater than 0.05.

3. RESULTS

3.1. CaNAβ Overexpression Increases Levels of FL-APP, APP-CTF & sAPP-Total and Aβ 40

To test whether CaNAβ alters APP metabolism, CaNAβ was overexpressed in HEK293 cells (Figure 1(a)). The effect of overexpression on levels of endogenous, full-length APP₇₇₀ and APP₇₅₁ (FL-APP) and their proteolytic fragments was assessed. Upon CaNAβ overexpression, we observed a significant increase in levels of endogenous FL-APP levels (Figures 1(a) & (b)) and APP-CTF’s (CTF-83 and CTF-99) (Figures 1(c) & (d)). Both CTF-83 and CTF-99 were significantly increased when they were quantified individually and normalized to β-actin (data not shown). To determine if this increase observed in levels of APP-CTF’s was due to increase in FL-APP levels, we normalized APP-CTF levels to FLAPP levels and observed no significant change, suggesting that the increase we observe in APP-CTF’s levels is solely due to the increase in FL-APP levels (Figure 1(e)).

Next, we wanted to determine if CaNAβ overexpres-

sion in HEK293 could alter levels of other APP proteolytic products. Therefore, CaNAβ was co-overexpressed with Swedish APP₆₉₅ (APP_Swe) in HEK293 cells. Similar to what we observed with endogenous FL-APP, CaNAβ co-overexpression resulted in a significant increase in FL-APP_Swe levels (Figures 2(a) & (b)) and in APP_Swe- CTF levels (CTF-83 and CTF-99) (Figures 2(c) & (d)). Increase in both CTF-83 and CTF-99 was observed when normalized to β-actin (data not shown). Again the increase observed in APP_Swe-CTF’s levels was dependent on the increase in FL-APP_Swe levels (Figure 2(e)). Given that CaNAβ overexpression lead to an increase in FLAPP_Swe and APP_Swe-CTF levels, next we used the conditioned media collected from these cells to probe for soluble APP levels (sAPP_Swe Total). We observed a significant increase in levels of sAPP_Swe total with CaNAβ cooverexpression with Swedish APP₆₉₅ (Figures 2(f) & (g)). Lastly, we measured levels of Aβ₄₀ in the conditioned media and observed a significant increase in levels of Aβ₄₀ with CaNAβ overexpression (Figure 2(h)). This increase in Aβ₄₀ levels was again dependent on the increase in FL-APP_Swe levels (Figure 2(i)).

3.2. CaNAβ Overexpression Increases Phospho-APP Swe and Phospho-APP Swe -CTF Levels

Given CaNAβ’s role as a phosphatase we investigated the effect of CaNAβ overexpression on APP phosphorylation. Co-overexpressing CaNAβ and APP_Swe lead to a significant increase in phospho-Thr668 FL-APP_Swe levels (Figures 3(a) & (b)). A significant increase in phos-

pho-Thr668 APP_Swe-CTF levels was also observed upon co-overexpression (Figures 3(d) & (e)). In order to determine the proportion of FL-APP_Swe that was phosphorylated on CaNAβ co-overexpression, we normalized levels of phospho-Thr668 FL-APP_Swe to total FL-APP_Swe and observed no significant change (Figure 3(c)). However, when phospho-Thr668 APP_Swe-CTF’s were normalized to total APP_Swe-CTFs, a significant increase in the proportion of phospho-Thr668 APP_Swe-CTFs was observed (Figure 3(f)).

3.3. CaNAβ Overexpression Does Not Alter APP mRNA Levels

Since we observe an increase in levels of endogenous and exogenous FL-APP upon CaNAβ overexpression it is unlikely that CaNAβ is altering APP expression via a transcriptional mechanism. It is possible that the mRNA stability could be affected. To assess both of these possibilities we utilized RT-QPCR to determine if CaNAβ overexpression resulted in altered APP mRNA levels. As expected, overexpression of CaNAβ in HEK293 cells had no significant effect on endogenous APP mRNA levels suggesting that CaNAβ alters APP levels posttranscriptionally (Figure 4).

4. DISCUSSION

In our study, we demonstrate that CaNAβ overexpression can regulate APP metabolism. We have undertaken a systematic search for regulators of APP metabolism utilizing an APP-Gal4/Gal4-UAS luciferase reporter system [24-25]. Using this approach we identified CaNAβ as a positional candidate gene that could function in regulating APP metabolism. Specifically, we observed that CaNAβ knockdown in SH-SY5Y APP-Gal4 cells that stably carry this reporter system, leads to a significant decrease in AICD-Gal4 mediated luciferase activity when compared to the non-silencing shRNA control. CaNAβ, when overexpressed in the same cell line, led to a significant increase in AICD-Gal4 mediated luciferase activity compared to the appropriate empty vector (Utreja et al, submitted). Knockdown and overexpression of the CaNAβ subunit resulted in consistent and opposite effects on APP proteolysis as measured by this assay, suggesting that CaNAβ plays a reproducible role in APP metabolism regulation in this cellular model. Here, we have extended these initial studies by investigating whether CaNAβ expression alters other aspects of APP proteolysis.

Overexpression of CaNAβ in HEK293 cells lead to a

significant increase in levels of FL-APP, and APP-CTF’s (CTF-83 and CTF-99), sAPP total and Aβ₄₀ levels. This increase in FL-APP and APP-CTF’s was observed with endogenous levels of APP and overexpressed APP_Swe. The increase in APP levels observed are most likely due to post-transcriptional effects as no change in APP mRNA levels was observed upon CaNAβ overexpression. Given CaN’s role as a serine/threonine specific phosphatase, we also examined affect of CaNAβ expression on APP phosphorylation state. FL-APP and APP-CTF, which increased upon CaNAβ overexpression, were found to be phosphorylated at Thr668 residue. When phosphoThr668 FL-APP and phospho-Thr668 APP-CTF’s levels were normalized to total FL-APP and APP-CTF levels, respectively, no increase was observed in overall phosphorylation of FL-APP but a significant increase inphospho-Thr668 APP-CTF’s was observed. Taken together, we conclude that increased expression of CaNAβ can alter APP metabolism and lead to increased production of Aβ, one of the main causes of Alzheimer’s disease. Therefore, down regulating levels of CaNAβ could be used as a potential therapeutic for decreasing Aβ levels.

CaN is an interesting and an important target in AD because of its critical role in learning and memory [11]. CaN being a serine/threonine specific phosphatase mediates the dephosphorylation of several cellular proteins and is involved in different signaling pathways. CaN mediated dephosphorylation of pCREB [25], pNFAT [26], p-PP1 [27,28], p-GSK-3 [29], and pBAD [30,31] could putatively explain its individual role in synaptic protein loss, neuroinflammation (neuronal and astrocytic), decreased neurotransmission, hyperphosphorylated tau, and cell death observed in AD models. However, the role of CaN in the brain may be very complicated. Overexpression of CaN in mice results in altered synaptic function and deficits in memory retention [32, 33]. Knockdown of CaN activity facilitates PKA-dependent long-term potentiation and increased learning and memory [33]. Yet, completely knocking out calcineurin in Purkinje cells or in the anterior cortex impairs postsynaptic long-term potentiation and worsens cognition [34]. In aged rats, upregulation of CaN activity negatively correlates with cognitive performance [27]. Conversely, downregulation of CaN activity using autoinhibitory peptide has shown to improve memory in rodents [33]. Transgenic Tg2576 mice (AD mouse model), which accumulate Aβ and develop cognitive impairments prior to plaque deposition, have high CaN activity in central nervous system (CNS). Treatment of these mice with CaN inhibitor FK506 improves memory function, indicating that CaN is part of the Aβ mediated memory loss pathway [35]. It has been shown that exogenous application of synthetic amyloid-β or oligomeric aggregates to cultured cells leads to a rapid and sustained rise in Ca²⁺ levels along with increase in CaN activity [8]. Furthermore, in vitro evidence indicates that Aβ induces neuronal apoptosis through a CaN-dependent mechanism [36]. Taken together, these studies suggest that CaN is the major phosphatase involved in cognitive and neurodegenerative effects of Aβ. However, the ability of CaN to alter Aβ levels has not been investigated thoroughly.

Previously, cDNA microarray analysis has shown that CaNAβ is the most up-regulated gene in brain lesions of the early stage of AD [20]. RT-PCR analysis from the same study also confirmed that CaNAβ was generally upregulated in the hippocampus of the early stage of AD [20]. The exact mechanism for upregulation of CaNAβ in the AD brain remains unknown. In our study we report that overexpression of CaNAβ increases levels of FLAPP and its proteolytic products including Aβ. Hence, this increase in levels of CaNAβ observed in AD brains could account for the increase in Aβ levels and Aβ mediated neurodegenerative affects. Our results indicate that this increase in APP levels observed with CaNAβ overexpression is post-transcriptional. Possibly, CaNAβ could alter APP protein synthesis or protein degradation affecting the levels of APP and APP proteolytic products. Also, an increase in APP-CTF’s Thr668 phosphorylation was observed upon CaNAβ overexpression. CaN being a phosphatase, it’s intriguing to observe an increase in APPCTF phosphorylation on CaNAβ overexpression. This could suggest that either CaNAβ overexpression does not account for or lead to a change in the overall phosphatase activity of CaN, or CaNAβ has an indirect effect on APP-CTF phosphorylation. There has been evidence suggesting that overexpression of CaN leads to dephosphorylation of GSK-3β at Ser-9, increasing its activity and leading to an increase in Tau phosphorylation [29]. Therefore it is possible that CaNAβ could affect GSK-3β phosphorylation/activity leading to an increase in levels of APP-CTF phosphorylation at Thr668. Lastly, activity and levels of CaN in AD brains/AD models are differentially regulated. Specifically, CaN activity is globally reduced in AD brains and during aging [37,38]. Conversely, protein levels of CaN are inversely correlated with dementia severity [38]. Therefore it will be important to determine if increased levels of CaNAβ leads to altered CaN activity.

To our knowledge our study is the first to show that CaNAβ overexpression regulates APP levels and proteolysis leading to an increase in Aβ levels. Results presented in our study provide an important link between clinically observed increase in CaNAβ levels in AD brains and the experimentally observed increase in Aβ levels. The results suggest the presence of potentially pathogenic feed forward loop between CaN and Aβ.

5. ACKNOWLEDGEMENTS

The authors would like to thank the members of the Saunders laboratory for helpful discussions. This work was support by grants from the National Institute of Neurologic Disease and Stroke (NS057295 to AJS).

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