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The Journal of Neuroscience, March 1, 1998, 18(5):1743-1752

Turnover of Amyloid beta -Protein in Mouse Brain and Acute Reduction of Its Level by Phorbol Ester

Mary J. Savage, Stephen P. Trusko, David S. Howland, Leonard R. Pinsker, Suzanne Mistretta, Andrew G. Reaume, Barry D. Greenberg, Robert Siman, and Richard W. Scott

Cephalon, Inc., West Chester, Pennsylvania, 19380

    ABSTRACT
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

Fibrillar amyloid deposits are defining pathological lesions in Alzheimer's disease brain and are thought to mediate neuronal death. Amyloid is composed primarily of a 39-42 amino acid protein fragment of the amyloid precursor protein (APP), called amyloid beta -protein (Abeta ). Because deposition of fibrillar amyloid in vitro has been shown to be highly dependent on Abeta concentration, reducing the proteolytic release of Abeta is an attractive, potentially therapeutic target. Here, the turnover rate of brain Abeta has been determined to define treatment intervals over which a change in steady-state concentration of Abeta could be measured. Mice producing elevated levels of human Abeta were used to determine approximate turnover rates for Abeta and two of its precursors, C99 and APP. The t1/2 for brain Abeta was between 1.0 and 2.5 hr, whereas for C99, immature, and fully glycosylated forms of APP695 the approximate t1/2 values were 3, 3, and 7 hr, respectively. Given the rapid Abeta turnover rate, acute studies were designed using phorbol 12-myristate 13-acetate (PMA), which had been demonstrated previously to reduce Abeta secretion from cells in vitro via induction of protein kinase C (PKC) activity. Six hours after intracortical injection of PMA, Abeta levels were significantly reduced, as measured by both Abeta 40- and Abeta 42-selective ELISAs, returning to normal by 12 hr. An inactive structural analog of PMA, 4alpha -PMA, had no effect on brain Abeta levels. Among the secreted N-terminal APP fragments, APPbeta levels were significantly reduced by PMA treatment, whereas APPalpha levels were unchanged, in contrast to most cell culture studies. These results indicate that Abeta is rapidly turned over under normal conditions and support the therapeutic potential of elevating PKC activity for reduction of brain Abeta .

Key words: protein turnover; amyloid-beta protein; amyloid precursor protein; Alzheimer's disease; phorbol ester; protein kinase C

    INTRODUCTION
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

The behavioral deficits associated with Alzheimer's disease (AD) result from the loss of neurons and synapses, primarily in the cortex and hippocampus. Amyloid deposits in these regions are an invariant pathological feature of AD and result from the aggregation of a 39-42 amino acid long protein known as amyloid beta -protein (Abeta ) (Selkoe, 1996). This protein has been shown to be neurotoxic in vitro when present in an aggregated form (Pike et al., 1993). Evidence obtained from the study of familial forms of AD in which mutations exist in either the amyloid precursor or presenilin genes (Hardy, 1997) implicates elevated secretion of the 42 amino acid form as a likely etiological event in disease development. This form is most fibrillogenic in vitro (Jarrett et al., 1993) and is more abundant in amyloid deposits in the AD brain than shorter, less fibrillogenic forms (Iwatsubo et al., 1994; Savage et al., 1995; Yamaguchi et al., 1995). Under normal conditions, however, soluble Abeta ending at residue 40 is more abundant than the 42 residue form (Haass et al., 1992; Seubert et al., 1992; Shoji et al., 1992; Vigo-Pelfrey et al., 1993).

The amyloid precursor protein (APP) is processed to form Abeta and other derivatives by at least three proteases, identified by their cleavage specificities (Selkoe, 1996). alpha -Secretase generates a secreted N-terminal APP fragment (APPalpha ) and also destroys the Abeta domain. The remaining C-terminal fragment (9 kDa) can be processed further by gamma -secretase, leading to the secretion of a 3 kDa protein (P3) and formation of a 6 kDa C-terminal fragment retained by the cells. beta -Secretase cleaves APP at the N terminus of Abeta , leading to the secretion of an N-terminal fragment (APPbeta ) that is 16 residues shorter than APPalpha and a cell-associated, C-terminal fragment (C99) that can be processed further by gamma -secretase to generate the C terminus of the Abeta protein.

To develop an experimental system in which to measure pharmacological effects on APP processing in vivo, we have used a gene-targeted mouse harboring the Swedish familial Alzheimer's disease (FAD) mutation and a humanized Abeta domain (Reaume et al., 1996). These mice express readily detectable levels of human Abeta and, unlike conventional APP transgenic animals, express endogenous levels of APP under normal developmental and tissue-specific control. In this model, we previously demonstrated increased cleavage at the beta -secretase site, a finding well documented in vitro in FAD model systems (Citron et al., 1992; Cai et al., 1993; Citron et al., 1994).

Knowledge of Abeta turnover rate in vivo is necessary to determine treatment intervals over which a change in Abeta levels could be measured. Here, we demonstrate that mechanisms are present in mouse brain that eliminate Abeta , C99, and APP within several hours of their generation. This knowledge was exploited to initiate studies of agents that could lower Abeta levels in the brain. Phorbol 12-myristate 13-acetate (PMA) has been used extensively in vitro to modulate APP processing and, as a result, lower secreted Abeta levels (Buxbaum et al., 1992; Hung et al., 1993). This compound is highly selective for the activation of protein kinase C (PKC) (Newton, 1995) and has been used previously to modulate brain processes in vivo (Cope et al., 1984; Routtenberg et al., 1986; Baranyi et al., 1987; Deitrich et al., 1989). Here, intracortical injections of PMA resulted in short-term reductions in Abeta levels in mouse brain, thus validating in vivo the modulatory effect of PKC activation on Abeta secretion that has been described in cultured cell systems. We have extended these observations by demonstrating specific effects on levels of both Abeta 40 and Abeta 42. Interestingly, we did not observe increased APPalpha concentrations in brain coincident with the reduction in levels of Abeta , contrary to effects of PMA seen in cell culture. This highlights the importance of measuring Abeta levels directly, as well as other APP derivatives, when evaluating modulators of APP metabolism in vivo.

    MATERIALS AND METHODS
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

Antibodies. Rabbit polyclonal antibody 1153 was generated against the first 28 amino acids of human Abeta (Savage et al., 1994). Monoclonal antibody 6E10 and biotinylated 6E10 were both purchased from Senetek (Maryland Heights, MO) and recognize an epitope within Abeta 1-17. Rabbit polyclonal antibody 97 was directed against the 30 amino acids at the C terminus of APP (Reaume et al., 1996). Abeta 40- and Abeta 42-selective polyclonal antibodies (affinity-purified; Abeta 40, lots 4434804, 4434805, 4434806, and 4434807; Abeta 42 lot 4434417) were obtained from Quality Controlled Biochemicals (Hopkinton, MA). Polyclonal antibody 54 was generated against the peptide sequence SEVNL and is specific for Swedish FAD mutant APPbeta (Siman et al., 1995). A monoclonal antibody against actin (clone C4) was purchased from Boehringer Mannheim (Indianapolis, IN). Both goat anti-rabbit and goat anti-mouse IgG1 were purchased from Southern Biotechnology Associates (Birmingham, AL).

Infusion of [35S]methionine into gene-targeted mice. Mice at 6 months of age were anesthetized with a mixture of 120 mg/kg ketamine and 12 mg/kg xylazine. [35S]Methionine (New England Nuclear, Boston, MA) at 500 µCi/100 µl (with 0.9% saline diluent) was infused into the femoral vein of each mouse over 30 min. Rate and volume of infusion were chosen to approach steady-state plasma levels of isotope (Garlick and Marshall, 1972). At various time points after the midpoint of the infusion, mice were anesthetized with avertin (1.25% 2,2,2-tribromoethanol and 2.5% 2-methyl-2-butanol), and blood was withdrawn via intraventricular puncture. The mice were then perfused with 15 ml of Ringer's solution at room temperature over 5 min, and brains were removed, rapidly frozen, and stored at -70°C.

Detection of radiolabeled and steady-state Abeta , C99, and APP. Brain supernatants were processed for immunoprecipitation as described previously (Reaume et al., 1996). Briefly, brains were homogenized in 6 M guanidine and 50 mM Tris, pH 7.5, and centrifuged at 100,000 × g, and supernatants were dialyzed against PBS with protease inhibitors. From three-fourths of the dialysate, C99 and Abeta were immunoprecipitated using the polyclonal antiserum 1153 and Pansorbin (Calbiochem, San Diego, CA). From the remaining one-fourth of the dialysate, APP was immunoprecipitated using polyclonal antiserum 97. Proteins immunoprecipitated with antiserum 1153 were resolved by electrophoresis on 10-20% Tris-tricine polyacrylamide gels (Owl Scientific, Woburn, MA) and transferred to a polyvinylidene difluoride membrane. Proteins immunoprecipitated using antiserum 97 were resolved using Laemmli gels (4-20%, Owl Scientific) and transferred to nitrocellulose. Dried membranes were exposed to phosphorimage screens (Molecular Dynamics, Sunnyvale, CA). Relative intensities of protein bands were determined using ImageQuant software (Molecular Dynamics).

After exposure of the phosphorimage screen to detect radiolabeled proteins corresponding to Abeta , C99, and APP, steady-state levels of these proteins were detected by immunoblotting. Membranes were wetted with transfer buffer and blocked with 5% nonfat dry milk in Tris-buffered saline (TBS). Monoclonal antibody 6E10 and enhanced chemiluminescence were used to detect these APP forms as described previously (Reaume et al., 1996).

Treatment of mice with phorbol ester. Gene-targeted mice from 3-6 months of age were anesthetized with ether. PMA (40 nmol) or 4alpha PMA (40 nmol) (phorbol esters from Alexis Biochemicals, San Diego, CA) or a corresponding volume of vehicle (2.5 µl, 30% DMSO and 0.9% saline) was injected unilaterally into the parietal cortex, 2.5 mm down from the surface of the head. Six or 12 hr later, animals were anesthetized with avertin, brains were removed, and parietal cortex samples from both hemispheres were Dounce-homogenized together in 2 ml of 0.2% diethylamine (DEA) and 50 mM NaCl. Brain homogenates were centrifuged at 100,000 × g, and recovered supernatants were neutralized to pH 8.0 with 2 M Tris-HCl. Extracts were diluted 1:1 with 5% fetal clonal serum (HyClone, Logan, UT) and 1% nonfat dry milk in TBS and analyzed for Abeta concentration using the ELISAs described below.

Abeta 40- and 42-specific ELISAs. For the 40-specific ELISA, Fluoronunc plates (Nunc, Naperville, IL) were coated with goat anti-rabbit IgG at 1:300 in 0.1 M sodium bicarbonate. This was followed by an Abeta 40-selective polyclonal antibody at 1:300 in 5% fetal clonal serum and 1% nonfat dry milk in TBS. The wells were blocked further in this same solution, without antibody. Tween 20 (0.1%) in TBS was used as the wash solution between each indicated step. Brain DEA extracts containing Abeta were diluted 1:1 in blocking solution and applied to the plates overnight at 4°C. Abeta was detected using biotinylated 6E10 at 1:5000 and avidin-alkaline phosphatase (Cappel/ICN, Costa Mesa, CA) at 1:500. Bound phosphatase was detected using 4-methyl umbelliferyl phosphate (4-MeUP; Sigma, St. Louis, MO) and read at 360/460 nm. Specificity of this ELISA for Abeta 1-40 was tested using recombinant C100 (comprising the last 100 amino acid residues of APP; Savage et al., 1994), Abeta 1-42, or Abeta 1-43 (Bachem, King of Prussia, PA). These proteins were added to standard curves comprising Abeta 1-40 (Bachem), and their ability to alter the curve was determined. ELISA signals are reported as femtomoles of Abeta per milligram of total extracted protein based on Abeta standard curves generated in each experiment.

The design of the 42-selective ELISA was the same, except the capture antibody was 6E10 and the detecting antibody was selective for Abeta 42. Fluoronunc plates were coated with goat anti-mouse IgG1 as described above. Monoclonal antibody 6E10 was used at 1:1000 in 5% fetal clonal serum and 1% nonfat dry milk, followed by an additional block in 5% nonfat dry milk in TBS. Intermediate washes were as above. Brain DEA extracts were diluted in blocking solution and applied for overnight capture at 4°C. Abeta 42 was detected using the 42-specific polyclonal antibody at 1:200, followed by a goat anti-rabbit IgG-alkaline phosphatase conjugate (Southern Biotechnology Associates, Birmingham, AL) at 1:5000. 4-MeUP substrate was used as above. Specificity of this ELISA for Abeta was tested by comparing signals generated with Abeta 1-40, Abeta 1-43, and recombinant C100 with signals generated using Abeta 1-42.

Because C99 and APP could also bind to the 6E10 capture antibody used in the 42-specific ELISA and are present at much higher concentrations than Abeta 42 in the mouse brain, we examined DEA extracts for the presence of C99 and APP. Neutralized DEA extracts were adjusted to 1× radioimmunoprecipitation assay buffer (50 mM Tris base, pH 8.0, 150 mM NaCl, 1% Triton X-100, 0.25% sodium deoxycholate, 0.1% sodium dodecyl sulfate, 2 mM EDTA, and 1 mM benzamidine) and immunoprecipitated with Ab 97 and Pansorbin overnight at 4°C. Some samples were spiked with 5 ng of recombinant C100. Precipitated proteins were electrophoresed on 10-20% Tris-tricine gels or 4-20% Laemmli gels (both from Owl Scientific) to visualize C99 or APP, respectively. Proteins were immunoblotted and detected using 6E10 and ECL as above.

Detection of APPalpha and APPbeta . From the DEA extracts described above, 250 µg aliquots of protein from each sample were methanol-precipitated for 1-2 hr at -20°C. Precipitates were air-dried and resuspended in equal volumes of Laemmli sample buffer. Aliquots of each sample (50 µg) were electrophoresed in triplicate using 4-20% Laemmli gels and transferred to nitrocellulose. Membranes were blocked using 5% nonfat milk powder in TBS and incubated with either 6E10 at 1:2000 or 54 at 1:500 for detection of APPalpha or APPbeta , respectively. Relative band intensity (visualized using ECL as described above) was determined using a Docugel V Scanalytic system (CSP, Inc., Billerica, MA). As a control for protein loading and transfer variabilities between samples, immunoblots were stripped using 100 mM beta -mercaptoethanol and 2% SDS at 37°C for 1 hr and reblotted using a monoclonal anti-actin antibody at 1:2000. Band densities representing secreted APP fragments were then normalized to the actin signal densities contained within each respective sample.

    RESULTS
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

Radiolabeling in vivo

We have studied the metabolism of C99, Abeta , and APP in vivo using infusion of [35S]methionine into the femoral vein of the gene-targeted mouse. The turnover of all examined species occurs within 1 d. Identity of these three proteins (Figs. 1, 2) is confirmed by molecular weight and reactivity with two Abeta /APP-specific antibodies (1153 and 6E10), one of which is specific for human APP and derivatives (6E10). Radiolabeled proteins immunoprecipitated with 1153 migrated between 3.5 and 6 kDa (Fig. 1A), at 14 kDa (Fig. 1A), or between 97 and 200 kDa (Fig. 2A) and aligned precisely with proteins immunodetected with 6E10 (Figs. 1D,E, 2D). These proteins are, therefore, identified as Abeta , C99, and APP, respectively. All three immunoblotted proteins also co-electrophoresed with APP-related standards (APP, Fig. 2E; Abeta and C99, data not shown).


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Figure 1.   Time-dependent changes in specific activity of mouse brain Abeta and C99. [35S]Methionine (500 µCi) was infused into the femoral vein of gene-targeted mice. At indicated hourly time points after midpoint of infusion, mice were perfused with Ringer's solution, and brain APP fragments were isolated by immunoprecipitation and visualized using electrophoresis and exposure of resolved proteins to phosphorimage screens. A, Representative phosphorimage showing radiolabeled Abeta and C99. Graphs illustrating change in density of C99 (B) or Abeta (C) with time are shown. n = 3 at each time point. D, E, Representative immunoblots confirming equivalent absolute levels of Abeta and C99 during these experiments. Immobilized proteins used to obtain the phosphorimage in A were detected using antibody 6E10. D, Abeta ; E, C99 and Abeta (from a longer exposure of D).


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Figure 2.   Change in specific activity of mouse brain APP with time. Mice were treated as reported in the legend to Figure 1 and Materials and Methods. A, Representative phosphorimage showing radiolabeled immature (i) and fully glycosylated (m) APP695. B, C, Time-dependent change in specific activity of immature (B) and fully glycosylated APP695 (C). n = 3 at each time point. D, Representative Western blot showing relatively constant absolute levels of APP, although specific activity was changing. E, Immunoblot confirming the predominant forms of APP synthesized by gene-targeted mouse. The most prominent band in the gene-targeted mouse brain sample (lane 2) co-electrophoreses with immature human APP695 from transgenic rat brain (lane 1) and lowest APP form isolated from human cortex (lane 3). The top band in the full-length APP complex (lane 2) co-electrophoreses with fully glycosylated human APP 695 from transgenic rat (lane 1).

C99 achieved its maximal observed specific activity between 1 and 2 hr after infusion (Fig. 1A). The t1/2 estimate based on decay of C99 signal over time was ~3 hr (Fig. 1B). Peak specific activity of the Abeta peptide was achieved by 4-7 hr after infusion with the signal returning to baseline levels by 16 hr (Fig. 1A,C). Because there were no data points on the downward slope of the Abeta decay curve, an approximate t1/2 for Abeta is best estimated from its rate of formation, because, at steady-state, the rate of protein synthesis equals the rate of turnover. The specific activity of the Abeta protein increased from background at 2 hr after infusion to peak incorporation between 4 and 7 hr (i.e., 2-5 hr later). Therefore, we estimate the t1/2 to be between 1.0 and 2.5 hr. The coincident decay of C99 and formation of Abeta in vivo supports the precursor-product relationship of these two APP derivatives, respectively (Golde et al., 1992; Cai et al., 1993; Perez et al., 1996). To determine absolute levels of these fragments during the course of the experiment, and also to confirm their identities, immunoblotting was performed using 6E10 (Fig. 1D,E). Absolute levels of Abeta and C99 were relatively constant at each time point, whereas their specific activities were changing. This confirms that the turnover measurements were performed under steady-state conditions. A radiolabeled protein that migrated slightly slower than C99 (Fig. 1A) was not labeled with 6E10 (Fig. 1E). This protein, therefore, was not derived from APP and was nonspecifically precipitated.

Full-length APP was immunoprecipitated using the Cterminal-specific Ab 97. Two major proteins were evident on both the phosphorimage (Fig. 2A) and immunoblot with 6E10 (Fig. 2D). On both images, the lower Mr band was sharply focused, and the upper band was more diffuse, as is typically seen with mature, fully glycosylated APPs (e.g., Oltersdorf et al., 1990). Most of the APP made in the brains of our gene-targeted mice (Fig. 2E) is APP695, as expected for rodent brain (Rockenstein et al., 1995). The major proteins immunoprecipitated with Ab 97 and immunodetected with 6E10 electrophoresed precisely with both of the major APP forms extracted from the brain of a transgenic rat overexpressing human APP695. In addition, the lowest Mr band detected in the gene-targeted brains co-electrophoresed with the lowest band isolated from human cortex, which is immature APP695. APP-like proteins (APLPs) are also present in mouse brain (Wasco et al., 1992) and could contribute to the phosphorimage signals. This is unlikely, because proteins seen on the Western blot using 6E10 (which does not recognize APLPs) precisely co-electrophorese with the radiolabeled proteins immunoprecipitated with Ab97.

Immature APP695 attained its peak specific activity by 1 hr (Fig. 2B), and the t1/2 of this material appeared to be ~3 hr. The specific activity of mature APP695 peaked between 1 and 2 hr and fell to background by 16 hr (Fig. 2C). Therefore, the t1/2 was ~7 hr.

ELISAs detect Abeta 40 and Abeta 42 in brains of gene-targeted mice

Using sandwich ELISAs selective for Abeta peptides with C termini ending at residue 40 or 42, Abeta was detected in brain extracts. The 40-selective assay (Fig. 3A) was linear to 240 fmol/ml and sensitive to 12 fmol/ml. This assay was >1000-, 5000-, or 10,000-fold more selective for Abeta 1-40 compared with Abeta 1-43, C100, or Abeta 1-42 standards, respectively. Brain Abeta 40 levels measured in the homozygous, gene-targeted mouse brain with this ELISA are 120 fmol/mg protein.


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Figure 3.   ELISAs selective for Abeta 40 and Abeta 42 detect levels of endogenous Abeta , correctly reflecting gene dosage. A, Standard curve of Abeta 1-40 generated using ELISA with a polyclonal antibody selective for Abeta 40. B, Standard curve of Abeta 1-42 using 42-selective ELISA. C, Soluble Abeta extracted from brains of gene-targeted mice having one copy (white bars) or two copies (black bars) of the targeted allele. n = 3 in each group. D, Immunoblot showing that the DEA extraction method does not release detectable levels of C99, an abundant, membrane-spanning form of APP. Lanes 2-4, Extracts immunoprecipitated with antibody 97, which recognizes the C terminus of C99; lane 1, recombinant C100 added into DEA extract before immunoprecipitation; lane 5, 0.5 ng of C100 loaded directly on to the gel.

The 42-selective assay (Fig. 3B) was linear to 480 fmol/ml and sensitive to 7.4 fmol/ml. This assay was 400-, 10,000-, or 16,000-fold more selective for Abeta 1-42 compared with Abeta 1-43, Abeta 1-40, or C100 standards, respectively. Selectivity in the Abeta 42 ELISA resided in the detecting antibody, unlike the 40-specific ELISA. Because the DEA extracts contain little membrane-associated C99 (Fig. 3D) or APP (data not shown), the nonselective 6E10 capture reagent was not saturated by C99 or full-length APP and was therefore free to capture DEA-extracted Abeta species. Whole-brain Abeta 42 levels measured using this ELISA are 16 fmol/mg protein. Both ELISAs also responded appropriately to twofold differences in brain Abeta driven by gene dosage. Extracts from homozygous mice revealed a twofold higher signal in the ELISA compared with heterozygous mice with only one copy of the targeted allele (Fig. 3C), confirming a previous observation made using Western blotting (Reaume et al., 1996).

Phorbol ester reduces cortical Abeta and APPbeta levels acutely

Because the Abeta protein is cleared within a few hours of its synthesis in the mouse brain, we examined the acute effect of the phorbol ester PMA on the level of Abeta and other APP derivatives. Highly significant 30-35% reductions in levels of Abeta 40 (from 121.4 to 84.1 fmol/mg) and Abeta 42 (from 20 to 12.9 fmol/mg) were seen in parietal cortex 6 hr after intracortical injection of 40 nmol of PMA (Fig. 4; p < 0.0001). By 12 hr, the effect on Abeta 40 was lost (Fig. 5A). Abeta 42 levels were not examined at 12 hr. Intracortical injection of 40 nmol of 4alpha PMA, an analog of PMA unable to activate PKC (Castagna et al., 1982; Kikkawa et al., 1983; Nichols et al., 1987), failed to reduce Abeta 40 levels at 40 nmol 6 hr after injection (Fig. 5B). The hippocampus was also examined and was inconsistently affected by PMA injection (data not shown). It is possible that this highly lipophilic compound did not travel a significant distance from the injection site.


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Figure 4.   Effect of PMA on levels of Abeta 40 and Abeta 42. Abeta proteins were significantly reduced 6 hr after treatment. PMA was injected into the parietal cortex of the gene-targeted mouse. Parietal cortex was removed, and Abeta was extracted using DEA-NaCl buffer, neutralized to pH 8.0, and analyzed by ELISA; vehicle values are in black, and PMA values are in white. Abeta 40 and Abeta 42 were reduced by 31 (p < 0.0001) and 35% (p < 0.0001), respectively. Number of animals per group: 40 assay, vehicle, 30; PMA, 39; 42 assay, vehicle, 24; PMA, 33.


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Figure 5.   Time-dependent reduction in Abeta levels after PMA treatment. Abeta levels were unaffected by 4alpha PMA. A, Significant reductions in Abeta 40 at 6 hr (P6, p < 0.001) were gone by 12 hr (P12). V, Vehicle; P, PMA. Number of animals per group: V6, 6; V12, 6; P6, 11; P12, 12. B, 4alpha PMA (4alpha P) did not lower cortical Abeta 40 levels after 6 hr compared with the active analog PMA (P, p < 0.03). Number of animals per group: V, 6; 4alpha P, 7; P, 6.

APPalpha and APPbeta levels were also examined 6 hr after PMA injection from the same extracts used to measure Abeta . In contrast to expectations from cell culture experiments, APPalpha levels were unchanged by this compound (Fig. 6A). APPbeta levels, on the other hand, were significantly reduced by 32% in the PMA-treated group (p < 0.02) (Fig. 6B). The degree of difference in levels of the two forms of secreted APP compared with controls was essentially identical whether the values were normalized to the actin band subsequently visualized within each blotted sample.


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Figure 6.   Effect of PMA on levels of APPalpha and APPbeta in parietal cortex 6 hr after treatment. Cortical APPbeta levels were significantly reduced by PMA treatment, whereas APPalpha levels are unchanged. These APP fragments were assayed from the DEA extracts used to measure Abeta . Equivalent amounts of protein were MeOH-precipitated and immunoblotted with either 6E10 (A) to visualize APPalpha or 54 (B) to visualize APPbeta . The reduction of APPbeta is significant to p < 0.02. Number of animals per group: vehicle, 19; PMA, 23.

    DISCUSSION
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

We examined the synthesis and turnover of human Abeta present within the gene-targeted mouse brain and used this information to design studies aimed at the reduction of brain Abeta . Under the control of the mouse APP promoter, this model provided appropriate cellular production of human Abeta and allowed the study of Abeta and APP metabolism under physiologically relevant APP concentrations. Abeta , C99, and APP undergo virtually complete clearance within 1 d in this model. The estimated t1/2 for Abeta is between 1.0 and 2.5 hr and was estimated from the rate of synthesis, because, at steady-state levels of protein, the rate of synthesis equals the rate of turnover. In addition to metabolic turnover of Abeta , rapid transport of this protein out of the brain into either blood or CSF could also contribute to its clearance. Although Abeta transport into brain across the blood-brain barrier has been reported (Zlokovic et al., 1993), transport of Abeta out of brain parenchyma has not yet been demonstrated.

Western blot data show steady-state levels of all APP-related proteins over the course of the experiment. The t1/2 values predicted here for immature APP (3 hr), fully glycosylated APP (7 hr), and C99 (3 hr) were based on turnover of those molecules that acquired [S35]methionine during the original pulse and via reuse of label released from rapidly metabolized proteins. Rates of synthesis for C99 and APP could not be used to obtain more precise estimates of t1/2, because the specific activity of both forms of APP and C99 had already peaked at the earliest time examined. A more precise definition of the half-lives of these proteins based on the rate of synthesis in vivo would require a shorter pulse duration and the measurement of points between time 0 and 1 hr.

We have shown that peripheral infusion of [35S]methionine over 30 min is sufficient to visualize Abeta and its precursors in mouse brain, despite the presence of only one methionine per Abeta molecule, and a background of physiological levels of unlabeled methionine. In studies that examined turnover of total protein in brain using TCA precipitation, there was concern that a stable pool of radiolabeled precursor be maintained to act as a saturating pulse (Garlick and Marshall, 1972; Dunlop et al., 1975; Reith et al., 1978). In these experiments, very long infusion periods or large bolus injections of radiolabel were delivered to saturate the precursor pools. Continuous infusion of [35S]methionine and other radiolabeled amino acids directly into small subregions of the brain has also been used to study the synthesis and transport of substance P (Sperk and Singer, 1982; Torrens et al., 1982; Krause et al., 1984) and other neuropeptides (Kochman et al., 1982; Krause et al., 1982). This report demonstrates whole-brain synthesis and degradation of specific proteins using peripheral infusion of radiolabeled amino acid over a relatively short infusion interval.

The synthesis and turnover of APP and APP fragments have been studied extensively in vitro (Weidemann et al., 1989; Oltersdorf et al., 1990; Haass et al., 1991; Golde et al., 1992; Busciglio et al., 1993; Siman et al., 1993; Perez et al., 1996). Pulse-chase experiments using [35S]methionine showed processing of APP to fully glycosylated, proteolytically cleaved forms within 1 hr in non-neuronal cells (Oltersdorf et al., 1990; Haass et al., 1991; Golde et al., 1992; Busciglio et al., 1993; Siman et al., 1993). In contrast, the half-life of immature APP was 3 hr in the neuronal NT2N cell line (Wertkin et al., 1993), identical to the half-life we estimate in vivo. The gene-targeted mice have the Swedish FAD mutation within the context of mouse APP, unlike the wild-type, human APP present in NT2N cells. When turnover rates of wild-type versus Swedish mutant APP have been compared in vitro, they were found to be identical (Perez et al., 1996). Therefore, the turnover rate estimate of the APP present in the gene-targeted mice likely reflects the in vivo turnover of wild-type APP as well.

The turnover of C-terminal derivatives measured in various cell culture systems has ranged from 1-2 hr to >8 hr (Oltersdorf et al., 1990; Haass et al., 1991; Estus et al., 1992; Busciglio et al., 1993; Siman et al., 1993; Martin et al., 1995). Our estimate of the t1/2 of C99 in vivo from expression of the Swedish mutant transgene falls within that range. The cellular compartment in which beta -secretase activity generates the N terminus of Abeta differs for APPs containing the Swedish FAD mutation compared with wild-type forms (Haass et al., 1995; Thinakaran et al., 1996). A 13.5 kDa fragment (analogous to C99 here) appeared more rapidly in mouse N2a cells transfected with Swedish mutant APP than wild-type APP (Thinakaran et al., 1996). Therefore, the rate of formation of C99 may also be more rapid in our gene-targeted mouse system expressing Swedish mutant APP compared with wild-type APP.

Abeta turnover in vitro has been studied recently (Naidu et al., 1995; Qiu et al., 1996, 1997). The peak specific activity of radiolabeled Abeta secreted from Chinese hamster ovary (CHO) cells transfected to overexpress APP 695 occurred at 6 hr (Naidu et al., 1995), similar to the result in our gene-targeted system. Estimates of Abeta t1/2 values are also comparable between 1.5 and 3 hr. Similar rates of Abeta secretion have been found using CHO cells expressing either wild-type or Swedish mutant forms of APP, whereas the amount of Abeta secreted was elevated in the presence of the mutation (Perez et al., 1996). We predict that turnover rates of Abeta determined in this study will estimate the rates for Abeta generated from wild-type APP if the compartments in which Abeta is metabolized are the same, and Abeta turnover mechanisms are not saturated.

Specific proteases that metabolize Abeta are beginning to be identified. A serine protease-alpha 2-macroglobulin complex was identified in preparations of pancreatic trypsin or fetal bovine serum that degraded exogenous Abeta , as well as Abeta secreted by cells (Qiu et al., 1996). A nonmatrix metalloprotease and a serine protease secreted by both CHO cells and BV-2 microglial cells have also been reported to catabolize Abeta (Qiu et al., 1997). Microglial cells in brain may, therefore, secrete a protease important for Abeta turnover in vivo. Turnover of Abeta could also occur in an intracellular compartment, because Abeta 42 uptake from extracellular medium has been described (Knauer et al., 1992); also, the de novo synthesis of intracellular Abeta has been reported in primary neurons (Tienari et al., 1997), NT2N cells (Wertkin et al., 1993), and 293 or CHO cells transfected with Swedish mutant APP (Martin et al., 1995, Perez et al., 1996). Rates of Abeta synthesis and clearance determine its steady-state level and dysfunction of either process could lead to the elevation of Abeta to concentrations critical for fibril formation.

Using this information concerning the turnover rate of Abeta in mouse brain, we investigated the effects of intracortically injected phorbol esters on brain Abeta metabolism. The development of these gene-targeted mice was critical to our study because Abeta is undetectable in wild-type mouse brain with either our ELISA or immunoblotting methods. A highly significant 30-35% reduction was demonstrated in levels of both Abeta 40 and Abeta 42 6 hr after administration of PMA. Six hours was chosen as the earliest postdose interval after PMA, allowing 2-6 half-lives for Abeta clearance. This is the first report of the selective effects of PMA on Abeta 40 and Abeta 42 as measured by ELISA. For the elevation of PKC activity to be considered a therapeutically relevent approach for the treatment of AD, it was necessary to demonstrate reduction in levels of brain Abeta 42 with a compound known to impact this pathway. The selective effect of phorbol ester stimulation on Abeta 42 was examined previously using an in vitro system, whereas Abeta 40 was measured as part of the "total" Abeta that remained (Citron et al., 1996). In our study, cortical levels of Abeta 40 returned to baseline by 12 hr, possibly reflecting the half-life of PMA in mouse brain, which was determined to be 9.6 hr (Dietrich et al., 1989). We expect the Abeta 42 followed a similar time course of recovery, although this fragment was not measured at 12 hr.

The activity of PMA on APP processing in mouse brain is presumably through its selective PKC-stimulatory function (Newton, 1995; Nishizuka, 1995), because an analog that is unable to activate PKC, 4alpha -PMA, had no effect on Abeta levels. We were unable to measure changes in PKC translocation after PMA delivery in mouse brain, because the DEA extraction buffer led to the release of membrane-associated PKC (data not shown). Therefore, it was not possible to measure concomitant effects of PMA on Abeta levels and PKC activity.

The role of PKC in modulating APP processing was determined by the discovery that stimulation of PKC either directly (Caporaso et al., 1992) or by activation of muscarinic receptor subtypes linked to this second messenger pathway (Buxbaum et al., 1992; Nitsch et al., 1992; Farber et al., 1995), led to an increase in the secretion of APPalpha and concomitant reduction in both Abeta (Buxbaum et al., 1993; Hung et al., 1993) and APPbeta (Felsenstein et al., 1994; Jacobsen et al., 1994). These results suggested either increased processing of APP via an alpha -secretase-mediated pathway (by increased secretase activity or a rerouting of full-length APP to compartments involved in alpha -secretase processing) or decreased activity via a beta -secretase-mediated pathway. We chose to study the effect of a phorbol ester in vivo, because PKC itself is ubiquitously expressed, whereas select cell surface receptors linked to PKC have a more focal distribution.

In contrast to Abeta , APPalpha levels were unchanged 6 hr after PMA delivery, whereas APPbeta levels decreased significantly. This correlation of Abeta reduction with APPbeta reduction suggests that there is reduced cleavage of APP by beta -secretase in the presence of phorbol esters, as suggested previously (Buxbaum et al., 1993; Hung et al., 1993; Felsenstein et al., 1994; Jacobsen et al., 1994). The lack of significant elevation in levels of APPalpha after phorbol ester treatment in vivo could be attributed to more efficient turnover of this protein compared with in vitro systems or, alternatively, to a dissociation of systems regulating Abeta /APPbeta secretion and APPalpha secretion in the mouse brain. These processes have been reported to be dissociated in certain in vitro systems (Gabuzda et al., 1993; Dyrks et al., 1994; Fuller et al., 1995). Recently, however, increased APPalpha secretion was reported in a rat model in which PKC activity was constitutively upregulated after treatment with menthylazoxymethanol in utero (Caputi et al., 1997), supporting the influence of this pathway on APP processing in vivo. Together, these studies emphasize the importance of measuring all APP fragments of interest when testing pharmacological modulators of APP processing in brain. In drug discovery efforts, for example, the degree to which a compound is effective in lowering Abeta levels should not be based exclusively on the measurement of a surrogate marker, such as APPalpha . In addition, test systems must effectively model both synthesis and clearance of brain Abeta and other APP-processing fragments; cultured cells may only partially represent these processes.

Collectively, our data show that the gene-targeted mouse is a useful model for the study of agents that modulate Abeta levels in brain. Turnover of brain Abeta protein under physiological conditions occurs within several hours. This makes possible the design of further studies to investigate agents that modulate Abeta levels in vivo whether by modulation of PKC activity or by alternative pathways independent of PKC.

    FOOTNOTES

Received Oct. 8, 1997; revised Dec. 9, 1997; accepted Dec. 15, 1997.

We thank Drs. Matthew Miller, Bruce Jones, and Dorothy Flood of Cephalon and Dr. Jim Krause of Washington University for discussions that helped initiate this work, Thomas Emmons for help with preparation of figures, Renee Simmons and Edwin McCabe for their excellent care of the gene-targeted animals, and Drs. Frank Baldino and Jeffry Vaught for their continuing support of this work.

Correspondence should be addressed to Dr. Mary Savage, Cephalon, Inc., 145 Brandywine Parkway, West Chester, PA 19380. 

    REFERENCES
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

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