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The Journal of Neuroscience, March 1, 1998, 18(5):1743-1752
Turnover of Amyloid -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
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ABSTRACT |
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 -protein
(A ). Because deposition of fibrillar amyloid in vitro has been shown to be highly dependent on A concentration, reducing the proteolytic release of A is an attractive, potentially
therapeutic target. Here, the turnover rate of brain A has been
determined to define treatment intervals over which a change in
steady-state concentration of A could be measured. Mice producing
elevated levels of human A were used to determine approximate
turnover rates for A and two of its precursors, C99 and APP. The
t1/2 for brain A 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 A turnover rate,
acute studies were designed using phorbol 12-myristate 13-acetate (PMA), which had been demonstrated previously to reduce A secretion from cells in vitro via induction of protein kinase C
(PKC) activity. Six hours after intracortical injection of PMA, A
levels were significantly reduced, as measured by both A 40- and
A 42-selective ELISAs, returning to normal by 12 hr. An inactive
structural analog of PMA, 4 -PMA, had no effect on brain A levels.
Among the secreted N-terminal APP fragments, APP levels were
significantly reduced by PMA treatment, whereas APP levels were
unchanged, in contrast to most cell culture studies. These results
indicate that A is rapidly turned over under normal conditions and
support the therapeutic potential of elevating PKC activity for
reduction of brain A .
Key words:
protein turnover; amyloid- protein; amyloid
precursor protein; Alzheimer's disease; phorbol ester; protein
kinase C
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INTRODUCTION |
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 -protein (A ) (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 A 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 A and other
derivatives by at least three proteases, identified by their cleavage
specificities (Selkoe, 1996 ). -Secretase generates a secreted
N-terminal APP fragment (APP ) and also destroys the A domain. The
remaining C-terminal fragment (9 kDa) can be processed further by
-secretase, leading to the secretion of a 3 kDa protein (P3) and
formation of a 6 kDa C-terminal fragment retained by the cells.
-Secretase cleaves APP at the N terminus of A , leading to the
secretion of an N-terminal fragment (APP ) that is 16 residues shorter than APP and a cell-associated, C-terminal fragment (C99) that can be processed further by -secretase to generate the C terminus of the A 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 A domain (Reaume et al., 1996 ). These mice express readily detectable levels of human A 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 -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 A turnover rate in vivo is necessary to
determine treatment intervals over which a change in A levels could be measured. Here, we demonstrate that mechanisms are present in mouse
brain that eliminate A , C99, and APP within several hours of their
generation. This knowledge was exploited to initiate studies of agents
that could lower A 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 A 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 A levels in mouse brain, thus
validating in vivo the modulatory effect of PKC activation
on A secretion that has been described in cultured cell systems. We
have extended these observations by demonstrating specific effects on
levels of both A 40 and A 42. Interestingly, we did not observe
increased APP concentrations in brain coincident with the reduction
in levels of A , contrary to effects of PMA seen in cell culture.
This highlights the importance of measuring A levels directly, as
well as other APP derivatives, when evaluating modulators of APP
metabolism in vivo.
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MATERIALS AND METHODS |
Antibodies. Rabbit polyclonal antibody 1153 was
generated against the first 28 amino acids of human A (Savage et
al., 1994 ). Monoclonal antibody 6E10 and biotinylated 6E10 were both
purchased from Senetek (Maryland Heights, MO) and recognize an epitope
within A 1-17. Rabbit polyclonal antibody 97 was directed against
the 30 amino acids at the C terminus of APP (Reaume et al., 1996 ). A 40- and A 42-selective polyclonal antibodies (affinity-purified; A 40, lots 4434804, 4434805, 4434806, and 4434807; A 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 APP (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 A , 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 A 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 A , 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
4 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
A concentration using the ELISAs described below.
A 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 A 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 A were diluted 1:1 in blocking
solution and applied to the plates overnight at 4°C. A 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
A 1-40 was tested using recombinant C100 (comprising the last 100 amino acid residues of APP; Savage et al., 1994 ), A 1-42, or
A 1-43 (Bachem, King of Prussia, PA). These proteins were added to
standard curves comprising A 1-40 (Bachem), and their ability to
alter the curve was determined. ELISA signals are reported as
femtomoles of A per milligram of total extracted protein based on
A 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 A 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. A 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 A was tested by comparing signals
generated with A 1-40, A 1-43, and recombinant C100 with signals
generated using A 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 A 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 APP and APP . 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 APP or APP ,
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 -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.
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RESULTS |
Radiolabeling in vivo
We have studied the metabolism of C99, A , 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 A /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
A , C99, and APP, respectively. All three immunoblotted proteins also
co-electrophoresed with APP-related standards (APP, Fig. 2E; A and C99, data not shown).

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Figure 1.
Time-dependent changes in specific activity of
mouse brain A 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
A and C99. Graphs illustrating change in density of C99
(B) or A (C) with time
are shown. n = 3 at each time point. D,
E, Representative immunoblots confirming equivalent absolute
levels of A and C99 during these experiments. Immobilized proteins
used to obtain the phosphorimage in A were detected
using antibody 6E10. D, A ; E, C99 and
A (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).
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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 A 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 A decay curve, an approximate
t1/2 for A 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
A 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 A 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 A 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 A 40 and A 42 in brains of
gene-targeted mice
Using sandwich ELISAs selective for A peptides with C termini
ending at residue 40 or 42, A 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 A 1-40 compared
with A 1-43, C100, or A 1-42 standards, respectively. Brain
A 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 A 40 and A 42 detect
levels of endogenous A , correctly reflecting gene dosage.
A, Standard curve of A 1-40 generated using ELISA
with a polyclonal antibody selective for A 40. B,
Standard curve of A 1-42 using 42-selective ELISA. C,
Soluble A 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.
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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 A 1-42 compared with A 1-43,
A 1-40, or C100 standards, respectively. Selectivity in the A 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 A species. Whole-brain A 42 levels measured using this ELISA are 16 fmol/mg protein. Both ELISAs also
responded appropriately to twofold differences in brain A 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 A and APP levels acutely
Because the A 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 A and other APP derivatives. Highly significant 30-35% reductions in levels of A 40 (from 121.4 to 84.1 fmol/mg) and A 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 A 40 was lost (Fig.
5A). A 42 levels were not
examined at 12 hr. Intracortical injection of 40 nmol of 4 PMA, an
analog of PMA unable to activate PKC (Castagna et al., 1982 ; Kikkawa et
al., 1983 ; Nichols et al., 1987 ), failed to reduce A 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 A 40 and A 42. A
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 A 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.
A 40 and A 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 A levels after PMA
treatment. A levels were unaffected by 4 PMA. A,
Significant reductions in A 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,
4 PMA (4 P) did not lower cortical
A 40 levels after 6 hr compared with the active analog PMA
(P, p < 0.03). Number of animals
per group: V, 6; 4 P, 7;
P, 6.
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APP and APP levels were also examined 6 hr after PMA injection
from the same extracts used to measure A . In contrast to expectations from cell culture experiments, APP levels were
unchanged by this compound (Fig.
6A). APP 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 APP and APP in
parietal cortex 6 hr after treatment. Cortical APP levels were
significantly reduced by PMA treatment, whereas APP levels are
unchanged. These APP fragments were assayed from the DEA extracts used
to measure A . Equivalent amounts of protein were MeOH-precipitated
and immunoblotted with either 6E10 (A) to
visualize APP or 54 (B) to visualize APP .
The reduction of APP is significant to p < 0.02. Number of animals per group: vehicle, 19; PMA, 23.
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DISCUSSION |
We examined the synthesis and turnover of human A present
within the gene-targeted mouse brain and used this information to
design studies aimed at the reduction of brain A . Under the control
of the mouse APP promoter, this model provided appropriate cellular
production of human A and allowed the study of A and APP
metabolism under physiologically relevant APP concentrations. A ,
C99, and APP undergo virtually complete clearance within 1 d in
this model. The estimated t1/2 for A
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 A , rapid transport of this protein out of the brain into either blood or
CSF could also contribute to its clearance. Although A transport into brain across the blood-brain barrier has been reported (Zlokovic et al., 1993 ), transport of A 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 A and its precursors in mouse brain, despite the presence
of only one methionine per A 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 -secretase activity generates the N
terminus of A 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.
A turnover in vitro has been studied recently (Naidu et
al., 1995 ; Qiu et al., 1996 , 1997 ). The peak specific activity of radiolabeled A 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
A t1/2 values are also comparable
between 1.5 and 3 hr. Similar rates of A secretion have been found
using CHO cells expressing either wild-type or Swedish mutant forms of
APP, whereas the amount of A secreted was elevated in the presence
of the mutation (Perez et al., 1996 ). We predict that turnover rates of
A determined in this study will estimate the rates for A
generated from wild-type APP if the compartments in which A is
metabolized are the same, and A turnover mechanisms are not
saturated.
Specific proteases that metabolize A are beginning to be identified.
A serine protease- 2-macroglobulin complex was
identified in preparations of pancreatic trypsin or fetal bovine serum
that degraded exogenous A , as well as A 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 A (Qiu et al., 1997 ). Microglial cells in brain may,
therefore, secrete a protease important for A turnover in
vivo. Turnover of A could also occur in an intracellular compartment, because A 42 uptake from extracellular
medium has been described (Knauer et al., 1992 ); also, the de
novo synthesis of intracellular A 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 A synthesis and clearance
determine its steady-state level and dysfunction of either process
could lead to the elevation of A to concentrations critical for
fibril formation.
Using this information concerning the turnover rate of A in mouse
brain, we investigated the effects of intracortically injected phorbol
esters on brain A metabolism. The development of these gene-targeted
mice was critical to our study because A 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 A 40 and A 42 6 hr after administration of PMA. Six hours was
chosen as the earliest postdose interval after PMA, allowing 2-6
half-lives for A clearance. This is the first report of the
selective effects of PMA on A 40 and A 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 A 42 with a compound known
to impact this pathway. The selective effect of phorbol ester
stimulation on A 42 was examined previously using an in vitro system, whereas A 40 was measured as part of the
"total" A that remained (Citron et al., 1996 ). In our study,
cortical levels of A 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 A 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,
4 -PMA, had no effect on A 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 A 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 APP and
concomitant reduction in both A (Buxbaum et al., 1993 ; Hung et al.,
1993 ) and APP (Felsenstein et al., 1994 ; Jacobsen et al., 1994 ).
These results suggested either increased processing of APP via an
-secretase-mediated pathway (by increased secretase activity or a
rerouting of full-length APP to compartments involved in -secretase
processing) or decreased activity via a -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 A , APP levels were unchanged 6 hr after PMA
delivery, whereas APP levels decreased significantly. This
correlation of A reduction with APP reduction suggests that there
is reduced cleavage of APP by -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 APP 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 A /APP
secretion and APP 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 APP 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 A
levels should not be based exclusively on the measurement of a
surrogate marker, such as APP . In addition, test systems must
effectively model both synthesis and clearance of brain A 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 A levels in brain.
Turnover of brain A protein under physiological conditions occurs
within several hours. This makes possible the design of further studies
to investigate agents that modulate A 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.
 |
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