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The Journal of Neuroscience, June 1, 2000, 20(11):4050-4058

High-Level Neuronal Expression of A_1-42 in Wild-Type Human Amyloid Protein Precursor Transgenic Mice: Synaptotoxicity without Plaque Formation

Lennart Mucke^{1, 2, 3}, Eliezer Masliah⁴, Gui-Qiu Yu¹, Margaret Mallory⁴, Edward M. Rockenstein⁴, Gwen Tatsuno⁵, Kang Hu⁵, Dora Kholodenko⁵, Kelly Johnson-Wood⁵, and Lisa McConlogue⁵

¹ Gladstone Institute of Neurological Disease, ² Department of Neurology, and ³ Neuroscience Program, University of California, San Francisco, California 94141-9100, ⁴ Departments of Neurosciences and Pathology, University of California at San Diego, La Jolla, California 92093-0624, and ⁵ Elan Pharmaceuticals, South San Francisco, California 94080

	ABSTRACT

TOP ABSTRACT INTRODUCTION MATERIALS AND METHODS RESULTS DISCUSSION REFERENCES

Amyloid plaques are a neuropathological hallmark of Alzheimer's disease (AD), but their relationship to neurodegeneration and dementia remains controversial. In contrast, there is a good correlation in AD between cognitive decline and loss of synaptophysin-immunoreactive (SYN-IR) presynaptic terminals in specific brain regions. We used expression-matched transgenic mouse lines to compare the effects of different human amyloid protein precursors (hAPP) and their products on plaque formation and SYN-IR presynaptic terminals. Four distinct minigenes were generated encoding wild-type hAPP or hAPP carrying mutations that alter the production of amyloidogenic A peptides. The platelet-derived growth factor  chain promoter was used to express these constructs in neurons. hAPP mutations associated with familial AD (FAD) increased cerebral A_1-42 levels, whereas an experimental mutation of the -secretase cleavage site (671_MI) eliminated production of human A. High levels of A_1-42 resulted in age-dependent formation of amyloid plaques in FAD-mutant hAPP mice but not in expression-matched wild-type hAPP mice. Yet, significant decreases in the density of SYN-IR presynaptic terminals were found in both groups of mice. Across mice from different transgenic lines, the density of SYN-IR presynaptic terminals correlated inversely with A levels but not with hAPP levels or plaque load. We conclude that A is synaptotoxic even in the absence of plaques and that high levels of A_1-42 are insufficient to induce plaque formation in mice expressing wild-type hAPP. Our results support the emerging view that plaque-independent A toxicity plays an important role in the development of synaptic deficits in AD and related conditions.

Key words: Alzheimer's disease; amyloid; APP; neurodegeneration; synapses; transgenic mice

	INTRODUCTION

TOP ABSTRACT INTRODUCTION MATERIALS AND METHODS RESULTS DISCUSSION REFERENCES

Alzheimer's disease (AD) is an age-dependent neurodegenerative disorder that causes a chronically progressive decline in cognitive functions. Because of the increasing longevity of many populations around the world, AD is a medical problem of mounting social and economic impact (Alloul et al., 1998). The disease is associated with a characteristic combination of morphological CNS alterations, including deposition of amyloid proteins in parenchymal plaques and cerebral blood vessels, intraneuronal formation of neurofibrillary tangles, loss of presynaptic terminals and neuronal subpopulations, and reactive gliosis (Terry et al., 1999). The severity of these alterations varies widely and specifically across different areas of the brain (Braak and Braak, 1998), suggesting that AD preferentially affects certain types of neural elements or that these elements are particularly susceptible to the disease.

Loss of synaptophysin-immunoreactive (SYN-IR) presynaptic terminals (Terry et al., 1991; Honer et al., 1992; Masliah et al., 1994; Dickson et al., 1995; Sze et al., 1997) and the number of neurofibrillary tangles (Gomez-Isla et al., 1997) in specific brain regions correlate well with cognitive decline in AD. In contrast, the relationship between amyloid plaques and clinical manifestations or neurodegenerative changes remains controversial (Cummings et al., 1996; Terry, 1996; Bartoo et al., 1997; Davis and Chisholm, 1997; Gomez-Isla et al., 1997; Lue et al., 1999; McLean et al., 1999). This is puzzling in light of different lines of evidence implicating the amyloid- protein precursor (APP) and its metabolites in the pathogenesis of AD.

Mutations in genes encoding APP or presenilins 1 or 2 have been linked to autosomal dominant forms of familial AD (FAD), and these mutations increase the production of APP-derived A peptides, either total A or A ending at residue 42 (A₄₂) (for review, see Younkin, 1995; Price and Sisodia, 1998; Storey and Cappai, 1999). A variety of A preparations elicit neurotoxicity in cultures of neural cells or tissue sections (Yankner et al., 1989; Pike et al., 1993; Yankner, 1996; Lambert et al., 1998), and acute injections of fibrillar A into the brain induce significant neuronal loss in aged rhesus monkeys (Geula et al., 1998).

Several transgenic mouse models have been developed to further elucidate the pathogenic role of APP/A in vivo (Price and Sisodia, 1998). Although low-level neuronal expression of wild-type or FAD-mutant human APP (hAPP) did not result in the formation of typical AD-like amyloid plaques (Quon et al., 1991; Mucke et al., 1994), it did elicit age-related deficits in spatial learning and memory (Moran et al., 1995; D'Hooge et al., 1996). High-level neuronal expression of FAD-mutant hAPP resulted in the brain region-dependent development of several AD-like CNS alterations, including typical neuritic plaques, reactive gliosis, and loss of SYN-IR presynaptic terminals and neuronal subpopulations (Games et al., 1995; Masliah et al., 1996; Johnson-Wood et al., 1997; Hsia et al., 1999). Many of these findings have been confirmed and extended in independent models expressing FAD-mutant hAPP in the absence (Hsiao et al., 1996; Sturchler-Pierrat et al., 1997) or presence (Duff et al., 1996; Borchelt et al., 1997) of FAD-mutant presenilins.

In some hAPP transgenic models, behavioral impairments (Hsiao et al., 1996) (but see Routtenberg, 1997) or loss of neurons (Calhoun et al., 1998) correlated with the extent of amyloid deposition. In others, behavioral impairments (Holcomb et al., 1998; Moechars et al., 1999), synaptic transmission deficits, and loss of SYN-IR presynaptic terminals and microtubule-associated protein 2-IR neurons (Hsia et al., 1999) clearly preceded plaque formation, raising the possibility that hAPP or A can induce structural and functional neuronal deficits independent of plaque formation. These discrepancies underline the need for a systematic comparison of A levels, plaque formation, and neurodegeneration in transgenic lines expressing wild-type or FAD-mutant forms of hAPP at comparable levels. Here, we report the results of such an analysis.

	MATERIALS AND METHODS

TOP ABSTRACT INTRODUCTION MATERIALS AND METHODS RESULTS DISCUSSION REFERENCES

Animals. The platelet-derived growth factor (PDGF)-APP transgene (Games et al., 1995; Rockenstein et al., 1995) and the generation of PDGF-APP_Ind line H6 (Wyss-Coray et al., 1997) and PDGF-APP_Sw,Ind line J9 (Hsia et al., 1999) have been described previously. To generate PDGF-APP_Wt, the sequence of PDGF-APP_Ind was converted to wild type by PCR primer modification, essentially as described previously (Rockenstein et al., 1995). To generate PDGF-APP_M-I, the EcoRI to SpeI fragment of PDGF-APP_Ind containing the 717_VF mutation was subcloned into analogous sites in pCMV695 M596I (Citron et al., 1995) to form pCMV695HaM596I. The 1.4 kb XhoI to SpeI fragment from pCMV695HaM596 was then ligated into the analogous sites of PDGF-APP_Ind to create the PDGF-APP_M-I transgene. The correctness of PDGF-APP_Wt and PDGF-APP_Exp,Ind was confirmed by sequencing across modified regions.

Microinjection of transgenes into C57BL/6 × DBA/2 F2 one-cell embryos, identification of transgenic founders by slot-blot analysis of genomic DNA, and selection of lines with cerebral hAPP mRNA expression by RNase protection assay analysis were performed as described previously (Games et al., 1995; Rockenstein et al., 1995). For each construct, several transgenic founders (PDGF-APP_Wt, n = 7; PDGF-APP_Ind, n = 12; PDGF-APP_Sw,Ind, n = 7; and PDGF-APP_Exp,Ind, n = 19) were generated, and their offspring were screened for cerebral transgene expression. Transgenic expresser lines were maintained by crossing heterozygous transgenic mice with nontransgenic C57BL/6 × DBA/2 F1 breeders. All transgenic mice were heterozygous with respect to the transgene. Nontransgenic littermates served as controls.

Mice were anesthetized with chloral hydrate and flush-perfused transcardially with 0.9% saline. Brains were removed and divided sagittally. One hemibrain was post-fixed in phosphate-buffered 4% paraformaldehyde, pH 7.4, at 4°C for 48 hr for vibratome sectioning; the other was snap frozen and stored at 70°C for RNA or protein analysis.

RNA analysis. RNA extraction and mRNA quantitation by solution hybridization RNase protection assay were performed as described previously (Rockenstein et al., 1995), using 10 µg of total RNA per sample in combination with the following ³²P-labeled antisense riboprobes [protected nucleotides (GenBank accession number)]: hAPP [nt2468-2657 (X06989) of hAPP fused via NotI linker with nt2532-2656 (M24914) of SV40]; actin [nt480-559 (X03672) of mouse -actin].

Quantitation of A. Snap-frozen hippocampi were homogenized in guanidine buffer, and human A peptides were quantitated by ELISA as described previously (Johnson-Wood et al., 1997). The A_1-42 ELISA detects only A_1-42, whereas the A_1-x ELISA detects A_1-40, A_1-42, and A_1-43, as well as C-terminally truncated forms of A containing amino acids 1-28.

Detection of A deposits. Vibratome sections were incubated overnight at 4°C with biotinylated mouse monoclonal antibody 3D6 (diluted to 5 µg/ml), which specifically recognizes A_1-5 (Johnson-Wood et al., 1997; Wyss-Coray et al., 1997). Binding of primary antibody was detected with the Elite kit from Vector Laboratories (Burlingame, CA) using diaminobenzidine and H₂O₂ for development. Sections were counterstained with 1% hematoxylin and examined with a Vanox light microscope (Olympus Optical, Tokyo, Japan) using a 2.5× objective. The percent area of the hippocampus covered by 3D6-immunoreactive material ("plaque load") was determined with a Quantimet 570C (Leica, Deerfield, IL). Three immunolabeled sections were analyzed per mouse, and the average of the individual measurements was used to calculate group means. Some sections were double-immunolabeled with a rabbit polyclonal antibody against A (R1280; courtesy of Dr. Dennis Selkoe) and mouse monoclonal antibodies against phosphorylated neurofilaments (SMI312; Sternberger Monoclonals, Baltimore, MD) as described previously (Masliah et al., 1996).

Density of SYN-IR presynaptic terminals. Vibratome sections were incubated overnight with a monoclonal antibody against synaptophysin (1 µg/ml; Boehringer Mannheim, Indianapolis, IN), followed by incubation with fluorescein isothiocyanate-conjugated horse anti-mouse IgG (1:75; Vector Laboratories). Sections were then transferred to SuperFrost slides (Fisher Scientific, Tustin, CA), mounted under glass coverslips with antifading medium (Vector Laboratories), and imaged with a laser scanning confocal microscope (MRC1024; Bio-Rad, Hercules, CA) as described previously (Games et al., 1995; Masliah et al., 1996). For each experiment, we first determined the linear range of the fluorescence intensity of immunoreactive terminals in nontransgenic control sections. This setting was then used, as described previously (Buttini et al., 1999), to collect all images analyzed in the same experiment. For each mouse, 12 confocal images (four per section) of the molecular layer of the dentate gyrus, each covering an area of 7282 µm², were obtained. Digitized images were transferred to a Macintosh computer (Apple Computers, Cupertino, CA) and analyzed with NIH Image software. The area occupied by SYN-IR presynaptic terminals was quantified and expressed as a percentage of the total image area as described previously (Masliah et al., 1992b; Games et al., 1995).

This method of quantitating SYN-IR presynaptic terminals has been used extensively to assess neurodegenerative alterations in diverse experimental models (Toggas et al., 1994; Games et al., 1995; Buttini et al., 1999) and in diseased human brains (Masliah et al., 1991b, 1992a; Knowles et al., 1998). It has also been validated previously by comparisons with quantitative immunoblots (Alford et al., 1994; Mucke et al., 1994), quantitations of synaptic proteins by ELISA (Brown et al., 1998; Buttini et al., 1999), and the optical "disector" approach (Masliah et al., 1991a; Everall et al., 1999; Hsia et al., 1999). To ensure objective assessments and reliability of results, brain sections from mice to be compared in any given experiment were blind coded and processed in parallel. Codes were broken after the analysis was complete.

Statistical analyses. Statistical analyses were performed with the StatView 5.0 program (SAS Institute Inc., Cary, NC). Differences among means were assessed by one-way ANOVA followed by, Dunnett's or Tukey-Kramer post hoc test. Correlation studies were performed by simple regression analysis. The null hypothesis was rejected at the 0.05 level.

	RESULTS

TOP ABSTRACT INTRODUCTION MATERIALS AND METHODS RESULTS DISCUSSION REFERENCES

Generation of transgenic mice expressing wild-type and FAD-mutant hAPP at comparable levels

The PDGF  chain promoter was used to direct neuronal expression of alternatively spliced minigenes encoding hAPP695, hAPP751, and hAPP770, as described previously (Games et al., 1995; Rockenstein et al., 1995). Four types of hAPP were expressed individually in different lines of transgenic mice (Fig. 1): wild-type hAPP (APP_Wt), hAPP carrying the FAD-linked (Murrell et al., 1991) 717_VF mutation (APP_Ind), hAPP carrying the 717_VF mutation plus the FAD-linked (Mullan et al., 1992) 670/671_KMNL double mutation (APP_Sw,Ind), and hAPP carrying the 717_VF mutation plus an experimental 671_MI mutation (APP_Exp,Ind) that inhibits A production in cell culture (Citron et al., 1995). Several independent lines of transgenic mice were established for each construct: 7 for APP_Wt, 11 for APP_Ind, 7 for APP_Sw,Ind, and 15 for APP_Exp,Ind. The generation of APP_Ind line H6 (Wyss-Coray et al., 1997) and APP_Sw,Ind line J9 (Hsia et al., 1999) has been described previously.

View larger version (30K): [in this window] [in a new window]   Figure 1.   Summary of transgenic lines. A, Diagram of hAPP indicating the mutations expressed in transgenic mice. FAD-linked mutations are commonly referred to by place of discovery or residence of affected kindred. The 670/671KMNL double mutation affects a large pedigree in Sweden (Mullan et al., 1992), and the 717VF mutation was identified in Indiana (Murrell et al., 1991) (numbers refer to amino acids in APP770). Mutations at position 717 are often collectively referred to as "London mutations" based on the first report of the FAD-linked 717VI mutation (Goate et al., 1991); however, the latter mutation was not studied here. The sequence of A is indicated in bold in single-letter amino acid code. KPI, Kunitz-type protease inhibitor domain. Elements are not drawn to scale. B, Relative levels of cerebral transgene expression (values in parentheses) were determined in different lines of PDGF-hAPP mice as illustrated in Figure 2. The expression level in line I63 was arbitrarily defined as 1.0.

The overall level of cerebral transgene expression in each line was determined by RNase protection assay (Fig. 2). Based on this analysis, three groups of transgenic lines, each consisting of two or more lines expressing different hAPP constructs at comparable levels, were selected for further analysis (Fig. 1B). Cerebral hAPP mRNA levels in the highest expresser lines, APP_Wt I63 and APP_Ind H6, are similar to those in the APP_Ind line 109 described previously (Games et al., 1995; Rockenstein et al., 1995). Although we were able to generate lines representing a broad range of expression levels for APP_Wt, APP_Ind, and APP_Sw,Ind, all APP_Exp,Ind lines in which hAPP mRNA could be detected in the brain (n = 15) had low levels of transgene expression (Fig. 1B and data not shown). The reasons for this remain to be determined.

View larger version (58K): [in this window] [in a new window]   Figure 2.   Identification of wild-type and FAD-mutant hAPP mice with matching levels of cerebral transgene expression. A, Representative autoradiograph showing results of an RNase protection assay. Total RNA was extracted from entire hemibrains. The left lane shows signals of undigested radiolabeled riboprobes; the other lanes contained the same riboprobes plus brain RNA samples, digested with RNases. Each sample lane contains RNA from a different mouse. The hAPP probe detects human but not mouse APP; it also recognizes an SV40 segment (S) of transgene-derived mRNAs. Non-tg, Nontransgenic. B, Phosphorimager quantitation of signals shown in A. Values represent group means ± SD.

In all PDGF-APP mice, cerebral expression of hAPP immunoreactivity was primarily neuronal and widespread across different brain regions, with maximal levels in the neocortex and hippocampus (data not shown), consistent with previous observations (Games et al., 1995; Johnson-Wood et al., 1997).

Effects of hAPP mutations on human A levels

Neocortical and hippocampal levels of A_1-x, approximating total A (Johnson-Wood et al., 1997; Gouras et al., 1998), and A_1-42 were determined by ELISA. Because intraparenchymal A deposits significantly increase the overall A burden, as measured by ELISA (Johnson-Wood et al., 1997), the effects of hAPP mutations on cerebral A production were evaluated at 2-4 months of age, when brains of transgenic mice from all lines were devoid of 3D6-immunoreactive A deposits (see below).

For any given construct, levels of A_1-x and A_1-42 (Fig. 3) were dependent on overall transgene expression levels (Figs. 1, 2), with the highest A levels seen in the highest hAPP expresser lines. In both the hippocampus (Fig. 3) and neocortex (data not shown), the 717_VF mutation increased the relative proportion of A_1-42 without increasing A_1-x levels, whereas the 670/671_KMNL double mutation significantly increased A_1-x levels, consistent with previous observations (Citron et al., 1992; Cai et al., 1993; Younkin, 1995). Consequently, for a given level of transgene expression, A levels were lower in APP_Wt mice than in APP_Sw,Ind mice (Figs. 1-3). No human A could be detected in brains of mice expressing hAPP carrying the experimental 671_MI mutation, confirming in vivo the effects this mutation has in vitro (Citron et al., 1995).

View larger version (26K): [in this window] [in a new window]   Figure 3.   Comparison of human A levels in hippocampi of mice expressing wild-type or FAD-mutant hAPP. A1-x and A1-42 were quantitated by ELISA in mice from different transgenic lines (n = 6-9 mice per line) at 2-4 months of age. Values represent group means ± SD. No plaques were detected in the opposite hemibrains of these mice by immunostaining with the 3D6 antibody (data not shown).

Effects of hAPP mutations on formation of amyloid plaques

To assess plaque formation, sections from transgenic and nontransgenic mice were immunolabeled with a monoclonal antibody against A (3D6). At 5-7 months of age, amyloid deposition was detected only in APP_Sw,Ind mice (Fig. 4). Diffuse amyloid immunoreactivity at this age was observed in a laminar pattern in the molecular layer of the dentate gyrus, and a few dense amyloid deposits 4-10 µm in diameter were detected in the deeper layers of the neocortex (data not shown). Both the diffuse plaques and the microplaques lacked a neuritic component. No plaques were detected at 5-7 months in transgenic mice from APP_Wt lines I5 and I63 or APP_Ind lines H6 and H40 (7-17 mice per line). At 8-10 months of age, APP_Sw,Ind lines also had the highest proportion of mice with plaques (Fig. 4), compared with hAPP expression-matched APP_Ind mice, and the highest hippocampal plaque loads (Fig. 5 and data not shown). In both APP_Ind and APP_Sw,Ind mice, the onset and extent of plaque formation were influenced by levels of human A, with mice expressing higher levels of A showing earlier and more extensive amyloid deposition (Figs. 3-5), even among lines that were well matched for overall transgene expression (Figs. 1, 2). At 21-27 months of age, the proportion of APP_Ind mice with plaques increased to 93% in the high expresser H6 line and to 83% in the low expresser H40 line (Fig. 4). Plaques in adult mice were typically larger and denser than those in young mice and showed a prominent neuritic component when double-labeled with antibodies against A and neurofilaments (Fig. 5E). No plaques were detected in nontransgenic mice at 2-27 months of age (n = 84).

View larger version (19K): [in this window] [in a new window]   Figure 4.   Hippocampal plaque formation in different lines of FAD-mutant hAPP mice. A deposits were detected by immunostaining of brain sections (n = 3 per mouse) with the 3D6 antibody as described in Materials and Methods. Six to 18 mice per line were analyzed at 2-4, 8-10, and 21-25 months of age, and 1-6 (mean = 4.3) mice per line were analyzed at 5-7 and 11-16 months of age.

View larger version (156K): [in this window] [in a new window]   Figure 5.   Age-related cerebral A deposition occurs in mice expressing FAD-mutant hAPP but not in mice expressing wild-type hAPP. Brain sections were immunoperoxidase-stained for A with the 3D6 antibody and imaged by light microscopy (A-D) or double-labeled with antibodies against A (R1280; red) and monoclonal antibodies against phosphorylated neurofilaments (SMI312; green) and imaged by laser scanning confocal microscopy (E, F). Hippocampal sections of transgenic mice are shown: A, APPInd line H6 (18 months); B, APPWt line I63 (15 months); C, APPSw, Ind line J9 (10 months); D, APPSw,Ind line J20 (10 months); E, APPInd line H6 (10 months). F, Midfrontal gyrus from a human AD brain. Magnifications: A-D, 4×; E, F, 930×.

Decreased levels of SYN-IR presynaptic terminals are unrelated to plaque load

We showed previously that transgenic mice expressing FAD-mutant hAPP have a decreased density of SYN-IR presynaptic terminals in specific subfields of the hippocampus and that this decrease precedes plaque formation (Games et al., 1995; Hsia et al., 1999). Because diverse factors associated with aging could link parallel processes in time, simulating cause-effect relationships that may not exist, it is critical to compare the effects of plaque load on neurodegeneration within relatively narrow age ranges. To assess whether plaque formation in FAD-mutant hAPP lines exacerbates the decrease in SYN-IR presynaptic terminals in old mice, we compared hippocampal density of SYN-IR presynaptic terminals and plaque load in APP_Ind and APP_Sw,Ind mice at 21-27 months of age, when most of these mice have plaques (see above). No correlation was identified between SYN-IR presynaptic terminals and plaque load (Fig. 6). At 8-10 months of age, when some mice have plaques and others do not (Fig. 4), the density of SYN-IR presynaptic terminals also did not correlate with plaque load in APP_Ind mice from line H6 (n = 24, r = 0.015, p = 0.94) or APP_Sw,Ind mice from lines J9 and J20 (n = 16, r = 0.28, p = 0.29).

View larger version (23K): [in this window] [in a new window]   Figure 6.   Density of SYN-IR presynaptic terminals does not correlate with plaque load in mice from different FAD-mutant hAPP lines. Plaque load and density of SYN-IR presynaptic terminals in the hippocampus were determined in 31 transgenic mice from APPInd lines H6, H9, and H40 and APPSw, Ind line J9 at 21-27 months of age. No correlation was found between the two variables.

APP_Wt mice with high A levels do not develop plaques but have decreased levels of SYN-IR presynaptic terminals

Although A_1-42 levels in the APP_Wt line I63 were similar to those in the plaque-bearing APP_Ind line H6 (Fig. 7A), no plaques were detected in mice from APP_Wt line I63 between 2 and 28 months of age (Figs. 5, 7B). Mice from APP_Wt line I5 also had no plaques at 8-10 (n = 9 mice) or 24 (n = 2) months of age (data not shown). Despite the lack of plaque formation, mice from APP_Wt line I63 showed decreases in SYN-IR presynaptic terminals similar to those in mice from APP_Ind line H6 (Fig. 7C). Simple regression analysis revealed a significant decline in SYN-IR presynaptic terminals with age (age range of 2-28 months) in mice from APP_Ind line H6 (n = 56, r = 0.30, p = 0.0243) and APP_Wt line I63 (n = 23, r = 0.53, p = 0.0095) but not in nontransgenic controls (n = 87, r = 0.07, p = 0.53). Because APP_Ind line H6 and APP_Wt line I63 are well matched not only for A_1-42 (Figs. 3, 7A) but also for overall transgene expression (Figs. 1, 2), their comparable decrease in SYN-IR presynaptic terminals could be attributable to neuronal overexpression of either A_1-42 or hAPP. To elucidate the relative importance of hAPP and A in determining the density of SYN-IR presynaptic terminals in these models, we took advantage of the fact that hAPP expression-matched APP_Wt, APP_Ind, and APP_Sw,Ind mice have different levels of A_1-42 production. The density of SYN-IR presynaptic terminals and levels of hAPP and its products were assessed in 2- to 4-month-old mice, because at this age, decreases in SYN-IR presynaptic terminals are already detectable in transgenic mice (Fig. 7C), and steady-state levels of A can be assessed most reliably because none of the mice have plaques (Fig. 4). First, we examined the relationship between the density of SYN-IR presynaptic terminals and hAPP levels. We found no correlation between these variables across different lines of transgenic mice (Fig. 8). Next, we examined whether there was evidence for dose-dependent synaptotoxicity of A. A significant inverse correlation was identified between the density of SYN-IR presynaptic terminals and the levels of A_1-x or A_1-42 (Fig. 9).

View larger version (36K): [in this window] [in a new window]   Figure 7.   Comparison of hippocampal A levels, plaque formation, and density of SYN-IR presynaptic terminals in the high expresser lines APPWt I63 and APPInd H6. Note that the cerebral hAPP mRNA levels in these lines are very well matched (Figs. 1, 2). A, Levels of human A were determined at 2-4 months of age in 8-9 mice per line by ELISA. Circles represent values in individual mice; horizontal lines indicate group means. B, Proportion of mice in which 3D6-immunoreactive plaques were identified (black) at the ages indicated (n = 4-18 mice per line and age range). C, The density of SYN-IR presynaptic terminals was determined in 4-41 mice per genotype and age range. Data represent group means ± SD. *p < 0.05, **p < 0.01 versus nontransgenic controls (Tukey-Kramer post hoc test).

View larger version (21K): [in this window] [in a new window]   Figure 8.   Density of SYN-IR presynaptic terminals does not correlate with hAPP levels across hAPP mice from different lines. Levels of full-length plus -secreted hAPP and density of SYN-IR presynaptic terminals in the hippocampus were determined in 36 transgenic mice from APPWt lines I5, I7, and I63, APPInd lines H6 and H40, and APPSw, Ind line J9 at 2-4 months of age. No correlation was identified between the two variables. No plaques were detected in the opposite hemibrains of these mice by immunostaining with the 3D6 antibody (data not shown).

View larger version (26K): [in this window] [in a new window]   Figure 9.   Inverse correlation between density of SYN-IR presynaptic terminals and levels of A. At 2-4 months of age, hippocampal levels of A1-x and A1-42 in one hemibrain were correlated with the hippocampal density of SYN-IR presynaptic terminals in the opposite hemibrain in mice from lines expressing APPWt, APPInd, or APPSw, Ind at different levels (4-9 mice per line). None of these mice had plaques by immunostaining with the 3D6 antibody (data not shown). Arrows indicate the normal density of SYN-IR presynaptic terminals in age-matched nontransgenic controls (mean of 29 mice).

	DISCUSSION

TOP ABSTRACT INTRODUCTION MATERIALS AND METHODS RESULTS DISCUSSION REFERENCES

High-level neuronal production of A_1-42 in mice expressing wild-type hAPP did not result in the formation of amyloid plaques but was associated with decreased levels of SYN-IR presynaptic terminals in the molecular layer of the dentate gyrus. Across different wild-type and FAD-mutant hAPP transgenic lines, decreases in SYN-IR presynaptic terminals correlated with A levels but not with hAPP levels or plaque load. These results support a plaque-independent role for A in AD-related synaptic toxicity.

Plaque formation depends on both absolute levels of A_1-42 and A_1-42/A_1-40 ratio

In transgenic lines carrying FAD mutations, the onset and progression of plaque formation were closely related to levels of A_1-42 expression measured before the development of plaque pathology. In hAPP expression-matched lines containing the 717_VF mutation, plaque formation was accelerated and intensified by the 670/671_KMNL double mutation, which increases A production (Citron et al., 1992; Cai et al., 1993; Younkin, 1995). These findings suggest that critical levels of A_1-42 in vulnerable brain regions are necessary for the development of plaques. However, the absence of plaques in line I63 demonstrates that high levels of A_1-42 are not sufficient for plaque formation. Line I63 is, to our knowledge, the first APP_Wt transgenic line that produces A_1-42 levels comparable with those in FAD-mutant hAPP mice that develop plaques. The close match in hAPP and A_1-42 levels in APP_Wt line I63 and APP_Ind line H6 was fortuitous but exceptional, because in other APP_Ind lines the 717_VF mutation increased A_1-42 levels over those identified in APP_Wt lines. We cannot exclude the possibility that the difference in plaque formation between wild-type and FAD-mutant hAPP lines involves A-independent factors. However, for the following reasons, we favor the hypothesis that differences in A_1-42/A_1-x ratios play a key role. For unknown reasons, A_1-x levels were higher in APP_Wt line I63 than in APP_Ind line H6, resulting in a lower A_1-42/A_1-x ratio in line I63 (Figs. 3, 7). Compared with APP_Wt line I63, APP_Ind line H40 had lower A_1-x levels but comparable A_1-42 levels (Fig. 3). The higher A_1-42/A_1-x ratio in line H40 was associated with plaque formation, whereas the lower A_1-42/A_1-x ratio in line I63 was not. A_1-40 accounts for most of the A_1-x that does not end at A residue 42 (Gouras et al., 1998). It is conceivable that A_1-40 interferes with A_1-42 aggregation in vivo, as it does in vitro (Snyder et al., 1994), and that the lack of plaque formation in line I63 reflects an antiamyloidogenic effect of A_1-40. If confirmed in future studies, this effect could be exploited therapeutically.

Synaptotoxicity depends on A levels but not hAPP levels, plaque load, or presence of FAD mutations

Decreases in synaptophysin immunoreactivity in specific brain regions correlate well with the severity of cognitive deficits in AD (Terry et al., 1991; Honer et al., 1992; Masliah et al., 1994; Dickson et al., 1995; Sze et al., 1997), highlighting the clinical relevance of this marker. Compared with the decreases in SYN-IR presynaptic terminals in late stages of AD (40%) (Masliah et al., 1994), the decreases we found in hAPP transgenic mice (10-30%) may seem relatively subtle. However, the decreases in SYN-IR presynaptic terminals in hAPP mice were not only statistically significant but were also associated with major synaptic transmission deficits (Hsia et al., 1999), supporting their pathophysiological relevance.

In all transgenic models in which A is expressed from the full-length precursor molecule, overexpression of A is inseparably linked to overexpression of hAPP itself. Because hAPP could affect neuronal function through a number of mechanisms (Milward et al., 1992; Mattson et al., 1993; Greenberg et al., 1994; Multhaup et al., 1996; Okamoto et al., 1996; Masliah et al., 1998), it is important to determine whether hAPP per se is responsible for the neuropathological alterations in these models. In transgenic mice expressing hAPP from the relatively weak neuron-specific enolase promoter, levels of SYN-IR presynaptic terminals were increased in mice with lower levels of hAPP expression but not in mice with higher levels of hAPP expression (Mucke et al., 1994). Those results led us to postulate a bell-shaped dose-response curve for synaptotrophic effects of hAPP at near-physiological levels of hAPP expression (Mucke et al., 1994). The relatively high density of SYN-IR presynaptic terminals in the low expresser APP_Wt line I7 (Fig. 9) may be consistent with this hypothesis. At higher levels of hAPP expression, the density of SYN-IR presynaptic terminals did not correlate with hAPP levels, suggesting that hAPP overexpression per se is not responsible for the decreased density of these structures in hAPP mice.

Although the high expresser APP_Wt line I63 did not develop plaques, it showed significant decreases in SYN-IR presynaptic terminals that worsened with age. Thus, FAD mutations are not required for the decrease in SYN-IR presynaptic terminals in hAPP mice, consistent with the loss of these structures in humans with sporadic AD, who also lack FAD mutations. The decreased levels of SYN-IR presynaptic terminals in line I63 also demonstrate that plaques are not required for this deficit to occur. Moreover, across different lines of aged plaque-bearing mice, plaque load did not correlate with the density of SYN-IR presynaptic terminals. If not extracellular deposits of fibrillar A, what is causing the synaptic deficits? Possibilities include neurotoxic effects induced by the intraneuronal accumulation of A or by diffusible forms of extracellular A (Masliah et al., 1996; Turner et al., 1996; Lambert et al., 1998; Lee et al., 1998; Hartley et al., 1999; Hsia et al., 1999; Wilson et al., 1999). Consistent with either of these possibilities and with recent findings in AD (Lue et al., 1999; McLean et al., 1999), decreases in SYN-IR presynaptic terminals in transgenic lines expressing wild-type or FAD-mutant hAPP correlated inversely and plaque-independently with levels of A_1-x and A_1-42.

In conclusion, our findings suggest that plaque formation is influenced not only by absolute but also by relative levels of A_1-42 and A_1-40, with relatively high concentrations of A_1-40 being potentially antiamyloidogenic. Decreases in SYN-IR presynaptic terminals were critically dependent on A levels but not on hAPP levels, plaque formation, or presence of FAD mutations, suggesting that plaque-independent A toxicity could play a key role in the pathogenesis of AD-related neurodegeneration.

	FOOTNOTES

Received Oct. 11, 1999; revised Feb. 28, 2000; accepted March 13, 2000.

This work was supported by National Institutes of Health Grants AG11385 (L. Mucke), AG10869 (E.M.), and AG5131 (E.M.). We thank D. Selkoe for the pCMV695 M596I plasmid and the R1280 antibody; the Transgenic Animal Core Facility of the J. David Gladstone Institutes for generating transgenic founder mice; M. Wogules, I. Lieberburg, D. Schenk, and R. Rydel for critical reading of this manuscript; M. Gordon for preliminary ELISA results; J. Carroll and S. Gonzales for preparation of graphics; G. Howard and S. Ordway for editorial assistance; and D. McPherson for administrative assistance.

Drs. Mucke and Masliah contributed equally to this study.

Correspondence should be addressed to Dr. Lennart Mucke, Gladstone Institute of Neurological Disease, P.O. Box 419100, San Francisco, CA 94141-9100. E-mail: lmucke{at}gladstone.ucsf.edu.

	REFERENCES

TOP ABSTRACT INTRODUCTION MATERIALS AND METHODS RESULTS DISCUSSION REFERENCES

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				W. J. Meilandt, M. Cisse, K. Ho, T. Wu, L. A. Esposito, K. Scearce-Levie, I. H. Cheng, G.-Q. Yu, and L. Mucke Neprilysin Overexpression Inhibits Plaque Formation But Fails to Reduce Pathogenic A{beta} Oligomers and Associated Cognitive Deficits in Human Amyloid Precursor Protein Transgenic Mice J. Neurosci., February 18, 2009; 29(7): 1977 - 1986. [Abstract] [Full Text] [PDF]

				A. Ho, X. Liu, and T. C. Sudhof Deletion of Mint Proteins Decreases Amyloid Production in Transgenic Mouse Models of Alzheimer's Disease J. Neurosci., December 31, 2008; 28(53): 14392 - 14400. [Abstract] [Full Text] [PDF]

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				A. Jan, O. Gokce, R. Luthi-Carter, and H. A. Lashuel The Ratio of Monomeric to Aggregated Forms of A{beta}40 and A{beta}42 Is an Important Determinant of Amyloid-{beta} Aggregation, Fibrillogenesis, and Toxicity J. Biol. Chem., October 17, 2008; 283(42): 28176 - 28189. [Abstract] [Full Text] [PDF]

				S. P. Zehntner, M. M. Chakravarty, R. J. Bolovan, C. Chan, and B. J. Bedell Synergistic Tissue Counterstaining and Image Segmentation Techniques for Accurate, Quantitative Immunohistochemistry J. Histochem. Cytochem., October 1, 2008; 56(10): 873 - 880. [Abstract] [Full Text] [PDF]

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				N. Nicolakakis, T. Aboulkassim, B. Ongali, C. Lecrux, P. Fernandes, P. Rosa-Neto, X.-K. Tong, and E. Hamel Complete Rescue of Cerebrovascular Function in Aged Alzheimer's Disease Transgenic Mice by Antioxidants and Pioglitazone, a Peroxisome Proliferator-Activated Receptor {gamma} Agonist J. Neurosci., September 10, 2008; 28(37): 9287 - 9296. [Abstract] [Full Text] [PDF]

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				J. Brodbeck, M. E. Balestra, A. M. Saunders, A. D. Roses, R. W. Mahley, and Y. Huang Rosiglitazone increases dendritic spine density and rescues spine loss caused by apolipoprotein E4 in primary cortical neurons PNAS, January 29, 2008; 105(4): 1343 - 1346. [Abstract] [Full Text] [PDF]

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				E. B. Lee, L. Z. Leng, B. Zhang, L. Kwong, J. Q. Trojanowski, T. Abel, and V. M.-Y. Lee Targeting Amyloid-beta Peptide (Abeta) Oligomers by Passive Immunization with a Conformation-selective Monoclonal Antibody Improves Learning and Memory in Abeta Precursor Protein (APP) Transgenic Mice J. Biol. Chem., February 17, 2006; 281(7): 4292 - 4299. [Abstract] [Full Text] [PDF]

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				J. Abad-Rodriguez, M. D. Ledesma, K. Craessaerts, S. Perga, M. Medina, A. Delacourte, C. Dingwall, B. De Strooper, and C. G. Dotti Neuronal membrane cholesterol loss enhances amyloid peptide generation J. Cell Biol., December 6, 2004; 167(5): 953 - 960. [Abstract] [Full Text] [PDF]

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				H. Atamna and W. H. Frey II A role for heme in Alzheimer's disease: Heme binds amyloid {beta} and has altered metabolism PNAS, July 27, 2004; 101(30): 11153 - 11158. [Abstract] [Full Text] [PDF]

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