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The Journal of Biological Chemistry logoLink to The Journal of Biological Chemistry
. 2012 Oct 2;287(48):40817–40825. doi: 10.1074/jbc.M112.398578

Soluble Amyloid Precursor Protein 770 Is Released from Inflamed Endothelial Cells and Activated Platelets

A NOVEL BIOMARKER FOR ACUTE CORONARY SYNDROME*

Shinobu Kitazume ‡,1, Akiomi Yoshihisa §, Takayoshi Yamaki §, Masayoshi Oikawa §, Yuriko Tachida , Kazuko Ogawa , Rie Imamaki , Yoshiaki Hagiwara , Noriaki Kinoshita , Yasuchika Takeishi §, Katsutoshi Furukawa , Naoki Tomita , Hiroyuki Arai , Nobuhisa Iwata **, Takaomi Saido **, Naomasa Yamamoto ‡‡, Naoyuki Taniguchi
PMCID: PMC3504793  PMID: 23033480

Background: Separate monitoring of the cleavage products of different amyloid β precursor protein (APP) variants may provide useful information.

Results: We found that soluble APP770 (sAPP770) is released from inflamed endothelial cells and activated platelets as judged by ELISA.

Conclusion: sAPP770 is an indicator for endothelial and platelet dysfunctions.

Significance: How sAPP770 is released in vivo has been shown.

Keywords: Alzheimer Disease, Amyloid Precursor Protein, Endothelial Cell, Platelets, Secretion, Acute Coronary Syndrome

Abstract

Most Alzheimer disease (AD) patients show deposition of amyloid β (Aβ) peptide in blood vessels as well as the brain parenchyma. We previously found that vascular endothelial cells express amyloid β precursor protein (APP) 770, a different APP isoform from neuronal APP695, and produce Aβ. Since the soluble APP cleavage product, sAPP, is considered to be a possible marker for AD diagnosis, sAPP has been widely measured as a mixture of these variants. We hypothesized that measurement of the endothelial APP770 cleavage product in patients separately from that of neuronal APP695 would enable discrimination between endothelial and neurological dysfunctions. Using our newly developed ELISA system for sAPP770, we observed that inflammatory cytokines significantly enhanced sAPP770 secretion by endothelial cells. Furthermore, we unexpectedly found that sAPP770 was rapidly released from activated platelets. We also found that cerebrospinal fluid mainly contained sAPP695, while serum mostly contained sAPP770. Finally, to test our hypothesis that sAPP770 could be an indicator for endothelial dysfunction, we applied our APP770 ELISA to patients with acute coronary syndrome (ACS), in which endothelial injury and platelet activation lead to fibrous plaque disruption and thrombus formation. Development of a biomarker is essential to facilitate ACS diagnosis in clinical practice. The results revealed that ACS patients had significantly higher plasma sAPP770 levels. Furthermore, in myocardial infarction model rats, an increase in plasma sAPP preceded the release of cardiac enzymes, currently used markers for acute myocardial infarction. These findings raise the possibility that sAPP770 can be a useful biomarker for ACS.

Introduction

Alzheimer disease (AD)2 is characterized by intracellular accumulation of neurofibrillary tangles and extracellular deposits of amyloid β (Aβ) peptides in the brain (1, 2). Neurotoxic Aβ is generated from amyloid precursor protein (APP) by sequential proteolytic cleavage by β-site amyloid precursor protein cleaving enzyme (BACE1) and the γ-secretase complex (3). Alternatively, APP can be cleaved at the α-site within the Aβ sequence by ADAM family proteases. Cleavage of APP at the α-site and β-site produces N-terminal parts of APP referred to as sAPPα and sAPPβ, respectively. APP has three kinds of alternatively spliced mRNA isoforms (4, 5), APP695, APP751, and APP770 (6), of which APP695 is predominantly expressed in neurons (7). We previously found that vascular endothelial cells express APP770 and produce Aβ40/42 (8). Increasing evidence suggests that AD patients have cerebrovascular brain lesions at an early stage (914). Another important finding is that Aβ deposition within the walls of small arteries in the brain, called cerebral amyloid angiopathy, is observed in most AD patients (1518). Although the origin of the vascular Aβ deposits remains an issue under discussion, a recent Aβ-immunotherapy study indicated that Aβ depositions in the brain parenchyma and blood vessels occur independently (19). We anticipate that measurement of sAPP770α/β in in vivo samples will enable us to judge whether the increased sAPP secretion is caused by increased processing of endothelial APP770 or neuronal APP695. In fact, both sAPPα and sAPPβ have been extensively analyzed for their α- and β-cleavage activities, respectively (20, 21). However, the currently available APP ELISA systems detect APP695, APP751, and APP770 mixed together.

In this study, we first established an ELISA system to specifically detect sAPP770 in human samples. Using this ELISA, in addition to endothelial sAPP770, we unexpectedly found that platelets store and release large amounts of sAPP770 upon activation. Therefore, we applied this ELISA to acute coronary syndrome (ACS) patients, including those with unstable angina and acute myocardial infarction (AMI), since endothelial injury, platelet activation, and thrombus formation are key events in the origin and progression of atherosclerosis and in the pathogenesis of ACS (22). We found that the plasma sAPP770 levels are significantly higher in AMI patients. Furthermore, myocardial infarction (MI) model rats showed a significant and rapid increase in plasma sAPPα. These findings raise the possibility that sAPP770 could be a useful marker for optimal management of ACS.

EXPERIMENTAL PROCEDURES

Subjects

The clinical study was approved by the Ethical Committees of RIKEN, Tohoku University, and Fukushima Medical University. The study population of AD-related diseases consisted of 56 patients aged 72.4 ± 1.0 years who underwent evaluations for memory disturbance at the Tohoku University Hospital Outpatient Clinic on Dementia. Clinical assessments by geriatricians and neuropsychological examinations, including the Mini-Mental State Examination (MMSE), were carried out as described previously (23). According to our established criteria (23), 5, 13, and 25 patients were diagnosed as having non-progressive mild cognitive impairment (npMCI), progressive MCI (pMCI), and AD, respectively. Briefly, for a 2-year follow-up period, patients who showed unchanged or improved cognitive functions were categorized as npMCI, while patients with amnestic MCI who progressed to AD were classified into pMCI. Overall, 13 of 56 patients were found to be cognitively normal at the baseline investigation. A study population of ACS patients admitted to Fukushima Medical University Hospital was enrolled. The clinical diagnosis of stable angina pectoris (AP), unstable AP, and AMI was made by physicians according to the Guidelines for Treatment of Acute Coronary Syndrome (JCS 2007) and finally determined by coronary angiography. Plasma samples were drawn from the aorta of patients with stable AP, unstable AP, and AMI (n = 20 each) during coronary angiography. Peripheral blood was taken from the AMI patients at the time of hospital admission. Fifteen AMI patients in the first analysis and 26 additional AMI patients in the confirmatory analysis were evaluated. As a control, peripheral blood was taken from 19 subjects without any cardiovascular risk factors.

Materials

The materials used in this study were sourced as follows: tissue culture media and reagents including DMEM from Invitrogen; protein molecular weight standards from Bio-Rad; recombinant human IL-1β, TNFα, and IL-6 from R&D Systems; TAPI-0 from Peptide Institute Inc.; collagen from Nycomed; all other chemicals from Sigma or Wako Chemicals. The anti-APP(C) antibody recognizes the C-terminal part of APP. The anti-OX2 antibody was raised against the synthetic oligopeptide KTTQEPLARDPVKL after conjugation with bovine thyroglobulin. The commercially available antibodies used were mouse monoclonal anti-APP 22C11 (Chemicon) and anti-Kunitz-type protease inhibitory domain (KPI) (Chemicon). Cardiac Troponin-I and Creatine Kinase ELISA Kits (Life Diagnostics Inc.) were used to monitor rat serum troponin-I and serum creatine kinase levels, respectively.

Expression Plasmids and Cell Culture

Human APP695-pcDNA3.1, APP751-pcDNA3.1, and APP770-pcDNA3.1 were constructed in a previous study (8). Human brain microvascular endothelial cells (BMECs) (Applied Cell Biology Research Institute) were cultured in CS-C Complete Medium supplemented with 10% FBS and used within four passages.

Platelet Preparation

Blood (16 ml) was collected from healthy volunteers on the day of the experiment using vacuum blood collection tubes (Nipro) containing 3.8% sodium citrate. Platelet-rich plasma (PRP; 2.3 × 108-2.7 × 108 platelets/ml) was collected by centrifugation at 200 × g for 20 min. Platelets were collected from the PRP by centrifugation at 900 × g for 10 min in the presence of 4 mmol/liter citrate. The platelet pellet was resuspended in modified HEPES-Tyrode buffer (134 mmol/liter NaCl, 12 mmol/liter NaHCO3, 2.9 mmol/liter KCl, 0.34 mmol/liter NaH2PO4, 1 mmol/liter CaCl2, 5 mmol/liter HEPES, 5 mmol/liter glucose, pH 7.4) to a density of 2.5 × 108 platelets/ml. Aliquots (200 μl) of PRP or platelets were used for platelet aggregation assays, which were performed in siliconized glass cuvettes at 37 °C with constant stirring at 1000 rpm in a TPA-4C aggregometer (Tokyo Photoelectric Co.). Platelet aggregation was initiated by adding collagen (final concentration, 3 μg/ml). At each time point, the PRP or platelet suspensions were centrifuged, and the platelet pellets were solubilized with 200 μl of T-PER buffer (Thermo Fisher Scientific Inc.) containing a Complete protease inhibitor mixture (Roche). The resulting cell lysates were evaluated by ELISA and Western blot analyses.

Rat MI Model

Male Sprague-Dawley rats weighing 290–310 g were purchased from Clea Japan Inc. For the MI rats, permanent coronary occlusion was performed at the proximal portion of the left coronary artery as previously described (24). The same surgical procedure was performed for a group of sham rats, except that the suture around the coronary artery was not tied. Plasma and serum (∼0.5 ml) were collected from each rat at 0, 1, 2, and 3 h after surgery, and the levels of plasma sAPPα, serum cardiac troponin-I, and serum creatine kinase were measured.

Quantification of sAPP Using ELISA Systems

A Human sAPP Total Assay Kit and Mouse/Rat sAPPα Assay Kit (IBL-Japan) were used for measurements of human sAPP695, APP751, and APP770, and rat sAPPα, respectively, according to the established protocols. The APP770 ELISA system was recently introduced at IBL-Japan as a commercialized product. Briefly, a 96-well plate was coated with the anti-OX2 antibody, and an HRP-labeled anti-APP R101A4 antibody was used as the detection antibody. Human cerebrospinal fluid (CSF; 1:16 dilution), plasma, and serum (1:75 dilution) were evaluated by both the APPtotal and APP770 ELISAs. Measurement of sAPP in human samples was performed by an operator blinded to the diagnosis.

APP Detection

COS cells expressing human APP695, APP751, or APP770 or platelet lysates were solubilized in T-PER buffer containing a Complete protease inhibitor mixture. sAPP in the platelet releasates was pulled down with heparin-agarose (Thermo Fisher Scientific Inc.). The COS cell lysates (5 μg of protein), and platelet-derived samples (corresponding to ∼5 × 106 platelets) were subjected to SDS-PAGE (5–20% gradient gel), and transferred to nitrocellulose membranes. For Western blot analyses, the membranes were incubated with anti-APP 22C11 (1:1000 dilution), anti-OX2 (1:100 dilution), anti-APP(C) (1:1000 dilution), anti-KPI (1:1000), and anti-sAPPα (6E10) (1:1000 dilution) antibodies. Appropriate HRP-conjugated donkey anti-goat IgG (Jackson ImmunoResearch Laboratories), anti-mouse IgG, and anti-rabbit IgG (GE Healthcare) antibodies were used as the secondary antibodies (1:1000 dilution). The ECL Prime Blocking Agent and ECL Advanced Chemiluminescent Substrate (GE Healthcare) were used for detection of the bound antibodies. The detected signals were quantified with a Luminoimage Analyzer LAS-1000 PLUS (Fuji Film).

RESULTS

Quantification of sAPP770 in in Vivo Samples

Our previous finding of APP770 expression in endothelial cells (8) prompted us to develop a sandwich ELISA system that specifically detects APP770, and not APP695 or APP751 (Fig. 1A). In this study, we also used a conventional APPtotal ELISA for comparison. In the APPtotal ELISA, both immobilized and detection antibodies detect APP695, APP751, and APP770. For the APP770 ELISA, we used the same detection antibody as the APPtotal ELISA, and developed an immobilized antibody against the OX2 domain, as a unique domain of APP770. As shown in Fig. 1B, an anti-N-terminal APP antibody (22C11) detected APP695, APP751, and APP770, while the anti-OX2 antibody specifically detected APP770 only. Our newly developed APP770 ELISA had a linear range of 50 pg/ml to 9 ng/ml. As shown in Fig. 1C, the APPtotal ELISA detected sAPP695, sAPP751, and sAPP770 secreted from COS cells transiently overexpressing APP695, APP751, and APP770, respectively, while the APP770 ELISA exclusively detected sAPP770. Since different standard samples were used in the APPtotal and APP770 ELISAs, direct comparisons of the measured APP770 levels are difficult.

FIGURE 1.

FIGURE 1.

Detection of sAPP770 secreted from brain endothelial cells and in human serum and plasma samples using our established APP770 ELISA system. A, schematic diagrams of the three alternatively spliced APP isoforms, APP695, APP751, and APP770, and the APPtotal and APP770 ELISAs. The capturing antibodies (unmarked) and detection antibody (marked by a star) for the ELISA systems are also shown, respectively. B, Western blot analyses showing that the anti-N-terminal APP (22C11) antibody detects full-length APP695, APP751, and APP770 in lysates of COS cells overexpressing these proteins, while the anti-OX2 antibody, used as the capturing antibody for the APP770 ELISA, specifically recognizes APP770. C, APPtotal ELISA detects sAPP695, APP751, and APP770 secreted from COS cells, while the APP770 ELISA solely detects sAPP770.

The endogenous level of sAPP770 secreted from human BMECs was detected by the new ELISA (Fig. 2A). IL-1β is known to enhance sAPP secretion from endothelial cells (25) and neurons (26). Indeed, addition of IL-1β and TNFα, but not IL-6, slightly but significantly increased the levels of sAPP770 secreted from BMECs (Fig. 2A). Since a selective TACE inhibitor, TAPI-0, partially blocked the secretion of sAPP770 from BMECs (Fig. 2B), TACE is at least partially involved in the production of sAPP770α in endothelial cells, similar to the case for sAPP695 production (20). Next, to clarify the extent to which sAPP770 accounts for the total sAPP in in vivo samples, we measured the sAPPtotal and sAPP770 levels in human serum and CSF samples. Even though the total sAPP levels were 700–900 ng/ml in both human serum and CSF samples, their sAPP770 levels showed a marked difference. The ratio of sAPP770 to sAPPtotal in CSF was ∼7.4%, and markedly lower than that in serum (∼46%) (Fig. 2C), possibly because the blood-brain barrier prevents the influx of serum sAPP770 into the brain. Therefore, it is considered that most of the CSF sAPPtotal is derived from neuronal sAPP695, while the serum sAPPtotal is mostly derived from sAPP770. Owing to the technical limitation of the standard samples, direct comparisons of the sAPP770 and sAPPtotal levels might not be very accurate. We also applied the APP770 ELISA to human serum and plasma samples. Normal human serum contained higher levels of sAPP770 (∼376 ± 19 ng/ml), while normal human plasma contained unexpectedly lower levels of sAPP770 (∼99.7 ± 13 ng/ml), representing almost one-fourth of the serum sAPP770 levels (Fig. 2D).

FIGURE 2.

FIGURE 2.

sAPP770 is present at high levels in serum and its secretion from endothelial cells is increased by inflammatory cytokines. A, BMECs were cultured for 16 h in the presence or absence of proinflammatory cytokines (TNFα, IL-1β, or IL-6; 100 ng/ml each), and the sAPP770 secreted from the cells was detected by the APP770 ELISA. The data shown are means ± S.E. (n = 4). *, p < 0.00001; **, p < 0.05. B, effect of culture with TAPI-0 (10 μm) for 16 h on sAPP770 secretion from BMECs. The data shown are means ± S.E. (n = 4). *, p < 0.0005. C, levels of sAPP770 and sAPPtotal in human CSF (n = 12) and serum (n = 20) are shown as means ± S.E. D, levels of sAPP770 in human serum and plasma samples are shown as means ± S.E. (n = 19).

sAPP770 Is Released from Activated Platelets

We speculated that platelets were the main origin of the significantly higher serum levels of sAPP770, since previous reports showed that sAPP with a Kunitz protease inhibitory domain is abundantly found as a platelet α-granule protein, referred to as the protease nexin-2 (PN2), and that PN2/APP is released from platelets by degranulation (27, 28) and related to platelet homeostasis (29). To examine whether platelets express APP770 and whether platelet APP770 is released upon activation, we first isolated PRP and added collagen to stimulate the platelets. After centrifugation, we measured the APP770 levels in the supernatant and platelet pellet. After 1 min of stimulation with collagen, the level of sAPP770 in the PRP supernatant was rapidly increased (Fig. 3A). Correspondingly, the level of APP770 in the platelet pellet was markedly decreased (Fig. 3B). When platelets were isolated and stimulated with collagen, release of sAPP770 was observed (Fig. 3C), similar to the case for PRP. Taken together, we concluded that platelets express APP770 and release APP770 upon activation. Western blot analyses of the resting and activated platelets using a series of anti-APP antibodies (Fig. 3D) showed that the sAPP (∼120 kDa, gray arrowheads) detected with 22C11, but not proportionally detected with the anti-APP(C) antibody, was already present in the resting platelets (Fig. 3E). Since this sAPP signal was also detected with the anti-OX2 and anti-KPI antibodies, we confirmed that sAPP770 was actually present in the platelets. In accord with the decrease in sAPP770 observed in the platelets upon activation, sAPP770 was markedly increased in platelet releasates. Western blot analyses using anti-sAPPα antibodies showed the release of sAPP770α from activated platelets. In addition to sAPP770, full-length APP770 (∼140 kDa, black arrowheads), which was detected by both the anti-APP(C) and anti-OX2 antibodies, was also present at much lower levels. These results indicate that shedding of APP770 does not make a significant contribution to the release of APP770 upon platelet activation.

FIGURE 3.

FIGURE 3.

sAPP770 release from activated platelets. PRP was stimulated with collagen (final concentration, 3 μg/ml) with stirring. A and B, after centrifugation of each sample at the indicated time points, the supernatant (A) and platelet pellet solubilized with T-PER buffer (B) were analyzed by the APP770 ELISA. C, washed platelets were stimulated with collagen and the released sAPP770 was analyzed after centrifugation. D, schematic diagram of APP770 and the sites recognized by the series of anti-APP antibodies. E, at the indicated time points after stimulation of platelets with collagen, solubilized platelet pellets and sAPP pulled down from platelet releasates were analyzed by Western blotting with anti-APP (22C11), anti-OX2, APP(C), anti-sAPPα(6E10), and anti-KPI antibodies. The black and gray arrowheads show full-length APP770 and sAPP770, respectively.

sAPP770 Levels Are Unchanged during the Disease Process of AD

Even though our APP770 ELISA system is unable to differentiate sAPP770β from sAPP770α, we expected that simultaneous analyses by the APP770 and APPtotal ELISAs in clinical samples would provide useful information about endothelial sAPP770 and neuronal sAPP695 in vivo. First, we wanted to clarify whether the serum and CSF sAPP770 levels show any unique correlations with the disease process of AD. As shown in Fig. 4A, the levels of CSF sAPP770 were quite similar between control subjects, and npMCI, pMCI, and AD patients, although the CSF sAPPtotal levels tended to be higher in the npMCI, MCI, and AD patients than in the control subjects (Fig. 4B). Indeed, there was a significant difference in the CSF sAPPtotal levels between the control subjects and AD patients. Taken together, it is conceivable that CSF sAPP695 tends to increase in the early stages of AD pathogenesis. Again, serum sAPP770 was not apparently changed in the AD-related diseases (Fig. 4C). We did not find a positive correlation for the serum sAPPtotal levels between the AD patients and control subjects (Fig. 4D), probably because sAPP695 is not a major component of serum sAPP.

FIGURE 4.

FIGURE 4.

CSF sAPPtotal is slightly increased in early AD and AD, while CSF and serum sAPP770 are unchanged. A–D, CSF sAPP770 (A), CSF sAPPtotal (B), serum sAPP770 (C), and serum sAPPtotal (D) levels were measured in normal, non pMCI, pMCI, and AD patients. The horizontal lines represent the mean value in each group. *, p < 0.05.

Plasma sAPP770 Is Significantly Higher in AMI Patients

Owing to the lack of correlation between CSF/serum sAPP770 and the AD-related disease status, we moved to analyses of the serum and plasma sAPP770 levels in ACS patients. It is well known that initial endothelial injury and subsequent platelet activation are closely related to the pathological cascade of ACS (30). First, we analyzed APP770 in plasma samples taken from the aorta during catheterization of the heart in stable AP, unstable AP, and AMI patients (n = 20 each). We found that the plasma APP770 levels were sequentially increased in stable AP, unstable AP, and AMI patients (Fig. 5A), suggesting that the grade of endothelial injury and platelet activation could be monitored by the plasma APP770 level. Next, to evaluate the practical application, we analyzed sAPP770 in plasma and serum samples from peripheral blood of normal subjects (n = 19) and AMI patients (n = 15). Compared with the normal subjects, the AMI patients had significantly higher levels of plasma APP770 (Fig. 5B) and unexpectedly lower levels of serum APP770 (Fig. 5C). As a result, the ratio of plasma sAPP770 to serum sAPP in the AMI patients was ∼1.06 ± 0.16, and remarkably higher than that in the normal subjects (∼0.26 ± 0.03) (Fig. 5D). We set the cut-off value for the plasma sAPP770/serum sAPP770 ratio at 0.48, which accounted for the mean ± 2 S.D. for the normal subjects. As a result, we found that 94.4% of the normal subjects were under the cut-off value, while 100% of the AMI patients showed higher values. The results showed that the sensitivity and specificity of the plasma sAPP770/serum sAPP770 ratio were 100 and 94%, respectively, thereby highlighting the usefulness of this ELISA for the diagnosis and management of AMI. Furthermore, we performed a confirmatory analysis using another set of peripheral blood samples from AMI patients, and observed reproducible results, in which the AMI patients had higher plasma sAPP770, lower serum sAPP770, and higher ratio of plasma sAPP770 to serum sAPP770 (supplemental Fig. S1). Finally, comparative analyses between the plasma sAPP770/serum sAPP770 ratio and current standard biomarkers such as serum troponin-T (Fig. 5E) and creatine kinase (Fig. 5F) were performed in the AMI patients. When the cut-off values for the troponin-T and creatine kinase levels were set at 0.1 and 5 ng/ml, the sensitivities of these assays were 73 and 53%, respectively, emphasizing the high sensitivity of the plasma sAPP770/serum sAPP770 ratio. We did not find any correlations between the plasma sAPP770/serum sAPP770 ratio and the levels of these cardiac enzymes, probably reflecting different underlying mechanisms for elevation., The level of plasma sAPP770 taken from peripheral blood tended to be higher than that taken from the aorta during catheterization of the heart, and direct comparisons of these levels did not seem to be possible. However, direct comparisons in these cases are difficult because the timing of the blood collections was different.

FIGURE 5.

FIGURE 5.

Plasma sAPP770 is significantly higher and serum sAPP770 is lower in AMI patients. A, plasma sAPP770 increases sequentially in stable AP, unstable AP, and AMI patients. Plasma samples drawn from the aorta of patients with stable AP, unstable AP, and AMI during coronary angiography were evaluated by the APP770 ELISA. The data shown are means ± S.E. (n = 20). *, p < 0.05; **, p < 0.005. B and C, plasma sAPP770 (B) and serum sAPP770 (C) from peripheral blood samples were measured in normal subjects (n = 19) and AMI patients (n = 15). The horizontal lines represent the mean value in each group. **, p < 0.005; ***, p < 1 × 10−5. D, ratios of plasma sAPP770 to serum sAPP770 in AMI patients and normal subjects. The horizontal lines represent the mean value in each group. ***, p < 1 × 10−5. E and F, comparative analyses between the plasma sAPP770/serum sAPP770 ratio and serum troponin-T (TnT; E) and creatine kinase (CK-MB; F) were performed in the AMI patients. The cut off-value in each assay is shown by the dashed line.

Plasma sAPPα Increases Earlier than Cardiac Enzyme Release in MI Model Rats

Our finding that patients with ACS including unstable AP and AMI had higher levels of plasma sAPP770 than stable AP patients suggests that the increase in plasma sAPP770 precedes myocardial injury. Even though a rat-specific APP770 ELISA is currently unavailable, our findings that sAPP770 was a major component of serum sAPP (Fig. 2C) and that a high level of sAPP770α was released from activated platelets (Fig. 3E) prompted us to measure mouse/rat sAPPα in plasma. Similar to the case for the human blood samples, we found that serum sAPPα (1100 ± 183 pg/ml) was markedly higher than plasma sAPPα (71.9 ± 12.4 pg/ml) in rats. Even though the sAPPα level in rats was much lower than that in humans, it was technically detectable. We then performed a kinetic analysis for plasma sAPP770 after experimental MI using the rat model. At 1 h after coronary ligation, we observed an ∼4-fold increase in plasma sAPPα compared with the sham rats (Fig. 6A). On the other hand, the increases in serum cardiac troponin-I (Fig. 6B) and creatine kinase (Fig. 6C), which are currently used diagnostic markers for AMI, were <2-fold at this time point. After 2 h, a significant increase in plasma sAPPα was observed. Taken together, our findings indicate that the increase in plasma sAPPα is earlier than the release of cardiac enzymes (31). These results are supported by the notion that endothelial injury, platelet activation, and thrombus formation precede cardiomyocyte damage in AMI (22).

FIGURE 6.

FIGURE 6.

Increase in plasma sAPP770 precedes myocardial injury. A–C, MI model rats were produced by ligating the left coronary artery. At 0, 1, 2, and 3 h after surgery, both plasma and serum samples were taken from the MI and sham rats for ELISA analyses. The levels of plasma sAPPα (A), serum cardiac troponin-I (cTn-I) (B), and serum creatine kinase (CK) (C) are shown as means ± S.E. (n = 8). *, p = 0.0076.

DISCUSSION

Our newly established APP770 ELISA system enables us to measure sAPP770 in in vivo samples, and thereby allows the levels of another type of sAPP, most likely sAPP695, to be estimated. Even though the sAPPtotal levels were similar between CSF and serum samples, we found that CSF sAPP770 was markedly lower than serum sAPP770, strongly suggesting that CSF mostly contains sAPP695. Meanwhile, most of the serum sAPP is considered to be sAPP770, ∼75% of which is derived from platelets upon activation. We observed that the sAPPtotal levels in CSF were higher in MCI and AD patients than in normal subjects, while CSF sAPP770 showed similar levels between control subjects, and npMCI, MCI, and AD patients. Taken together, it is most likely that MCI and AD patients have increased levels of CSF sAPP695. Indeed, a previous report showed that the elevated CSF BACE1 activity in AD patients is positively correlated with both CSF sAPPα and sAPPβ (32), although there are also conflicting observations (33). The current limitation of our APP770 ELISA system is that sAPP770α and sAPP770β are detected together. We are now on the way to developing an sAPP770β sandwich ELISA, which would potentially be useful for assessing vascular Aβ formation.

Our finding that the inflammatory cytokine TNFα enhanced sAPP770 secretion from endothelial cells indicates that sAPP770 could be a marker for endothelial inflammation. Furthermore, we found that platelets released sAPP770 upon activation, which is considered to be the well-characterized PN2/APP (27, 28), a platelet α-granule protein. PN2/APP has recently been shown to exhibit anticoagulant activity in vivo (34, 35), possibly because of its inhibitory activity toward several prothrombotic enzymes (36). Our Western blot analyses showed that a much larger amount of sAPP770 (PN2/APP) compared with full-length APP770 was already present in resting platelets and immediately released upon activation. Therefore, plasma sAPP770 is potentially a promising marker for indicating platelet degranulation. Indeed, we found that AMI patients had significantly higher levels of plasma sAPP770. The reason why serum sAPP770 was reduced in AMI patients remains unclear. However, this could arise through either consumption of platelet α-granule proteins upon persistent platelet activation or endothelial dysfunction. As illustrated in Fig. 7, the pathological cascade of ACS consists of multiple steps, such as endothelial injury, activation of platelets, formation and rupture of plaque that includes deposition of macrophages and T lymphocytes, and myocardial damage and cell death. Currently used AMI biomarkers, such as cardiac troponins, heart-type fatty acid-binding protein, aspartate aminotransferase, creatine phosphokinase, and lactate dehydrogenase, indicate myocardial damage. On the other hand, it is considered that plasma sAPP770 is increased by endothelial inflammation and platelet activation, which are placed in the early phase of ACS. Indeed, our experimental MI rat model showed that the increase in sAPPα precedes the release of cardiac enzymes. In addition, we observed that unstable AP patients had higher levels of plasma sAPP770 than stable AP patients. Taken together, our findings highlight the possibility of plasma sAPP770 as a promising biomarker for judging the early stage of ACS.

FIGURE 7.

FIGURE 7.

Pathological cascade of ACS. Plasma sAPP770 is considered to be increased by endothelial inflammation, platelet activation, and thrombus formation.

Acknowledgments

We thank Dr. Shoichi Ishiura (The University of Tokyo) for the human APP751 and APP770 pcDNAs and Dr. Kei Maruyama (Saitama Medical School) for the anti-APP C15 antibody. We also thank Tatsuya Segawa of Immuno-Biological Laboratories Co. Ltd. for excellent technical assistance.

*

This work was supported in part by grants from the Systems Glycobiology Research Project and from the strategic programs for R&D of RIKEN (to N. T.), a Grant-in Aid for Scientific Research from the Ministry of Education, Science, Sports and Culture of Japan (to N. T. and S. K.), and a grant from the Takeda Science Foundation (to S. K.).

Inline graphic

This article contains supplemental Fig. S1.

2
The abbreviations used are:
AD
Alzheimer disease
ACS
acute coronary syndrome
amyloid β-peptide
AMI
acute myocardial infarction
AP
angina pectoris
APP
amyloid precursor protein
BMEC
brain microvascular endothelial cell
CSF
cerebrospinal fluid
KPI
Kunitz-type protease inhibitor
MI
myocardial infarction
npMCI
non progressive mild cognitive impairment
pMCI
mild cognitive impairment
PRP
platelet-rich plasma.

REFERENCES

  • 1. Selkoe D. J. (2001) Alzheimer's disease: genes, proteins, and therapy. Physiol. Rev. 81, 741–766 [DOI] [PubMed] [Google Scholar]
  • 2. Tanzi R. E., Bertram L. (2005) Twenty years of the Alzheimer's disease amyloid hypothesis: a genetic perspective. Cell 120, 545–555 [DOI] [PubMed] [Google Scholar]
  • 3. De Strooper B. (2010) Proteases and proteolysis in Alzheimer disease: a multifactorial view on the disease process. Physiol. Rev. 90, 465–494 [DOI] [PubMed] [Google Scholar]
  • 4. Ponte P., Gonzalez-DeWhitt P., Schilling J., Miller J., Hsu D., Greenberg B., Davis K., Wallace W., Lieberburg I., Fuller F. (1988) A new A4 amyloid mRNA contains a domain homologous to serine proteinase inhibitors. Nature 331, 525–527 [DOI] [PubMed] [Google Scholar]
  • 5. Tanzi R. E., McClatchey A. I., Lamperti E. D., Villa-Komaroff L., Gusella J. F., Neve R. L. (1988) Protease inhibitor domain encoded by an amyloid protein precursor mRNA associated with Alzheimer's disease. Nature 331, 528–530 [DOI] [PubMed] [Google Scholar]
  • 6. Tomita S., Kirino Y., Suzuki T. (1998) Cleavage of Alzheimer's amyloid precursor protein (APP) by secretases occurs after O-glycosylation of APP in the protein secretory pathway. Identification of intracellular compartments in which APP cleavage occurs without using toxic agents that interfere with protein metabolism. J. Biol. Chem. 273, 6277–6284 [DOI] [PubMed] [Google Scholar]
  • 7. Wertkin A. M., Turner R. S., Pleasure S. J., Golde T. E., Younkin S. G., Trojanowski J. Q., Lee V. M. (1993) Human neurons derived from a teratocarcinoma cell line express solely the 695-amino acid amyloid precursor protein and produce intracellular β-amyloid or A4 peptides. Proc. Natl. Acad. Sci. U.S.A. 90, 9513–9517 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Kitazume S., Tachida Y., Kato M., Yamaguchi Y., Honda T., Hashimoto Y., Wada Y., Saito T., Iwata N., Saido T., Taniguchi N. (2010) Brain endothelial cells produce amyloid {β} from amyloid precursor protein 770 and preferentially secrete the O-glycosylated form. J. Biol. Chem. 285, 40097–40103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Prohovnik I., Mayeux R., Sackeim H. A., Smith G., Stern Y., Alderson P. O. (1988) Cerebral perfusion as a diagnostic marker of early Alzheimer's disease. Neurology 38, 931–937 [DOI] [PubMed] [Google Scholar]
  • 10. Snowdon D. A., Greiner L. H., Mortimer J. A., Riley K. P., Greiner P. A., Markesbery W. R. (1997) Brain infarction and the clinical expression of Alzheimer disease. The Nun Study. JAMA 277, 813–817 [PubMed] [Google Scholar]
  • 11. Jagust W. J., Haan M. N., Reed B. R., Eberling J. L. (1998) Brain perfusion imaging predicts survival in Alzheimer's disease. Neurology 51, 1009–1013 [DOI] [PubMed] [Google Scholar]
  • 12. Breteler M. M. (2000) Vascular risk factors for Alzheimer's disease: an epidemiologic perspective. Neurobiol. Aging 21, 153–160 [DOI] [PubMed] [Google Scholar]
  • 13. Vermeer S. E., Prins N. D., den Heijer T., Hofman A., Koudstaal P. J., Breteler M. M. (2003) Silent brain infarcts and the risk of dementia and cognitive decline. N. Engl. J. Med. 348, 1215–1222 [DOI] [PubMed] [Google Scholar]
  • 14. Han B. H., Zhou M. L., Abousaleh F., Brendza R. P., Dietrich H. H., Koenigsknecht-Talboo J., Cirrito J. R., Milner E., Holtzman D. M., Zipfel G. J. (2008) Cerebrovascular dysfunction in amyloid precursor protein transgenic mice: contribution of soluble and insoluble amyloid-β peptide, partial restoration via γ-secretase inhibition. J. Neurosci. 28, 13542–13550 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Mandybur T. I. (1975) The incidence of cerebral amyloid angiopathy in Alzheimer's disease. Neurology 25, 120–126 [DOI] [PubMed] [Google Scholar]
  • 16. Glenner G. G., Henry J. H., Fujihara S. (1981) Congophilic angiopathy in the pathogenesis of Alzheimer's degeneration. Ann. Pathol. 1, 120–129 [PubMed] [Google Scholar]
  • 17. Vinters H. V. (1987) Cerebral amyloid angiopathy. A critical review. Stroke 18, 311–324 [DOI] [PubMed] [Google Scholar]
  • 18. Esiri M. M., Nagy Z., Smith M. Z., Barnetson L., Smith A. D. (1999) Cerebrovascular disease and threshold for dementia in the early stages of Alzheimer's disease. Lancet 354, 919–920 [DOI] [PubMed] [Google Scholar]
  • 19. Nicoll J. A., Wilkinson D., Holmes C., Steart P., Markham H., Weller R. O. (2003) Neuropathology of human Alzheimer disease after immunization with amyloid-β peptide: a case report. Nature Med. 9, 448–452 [DOI] [PubMed] [Google Scholar]
  • 20. Kim M. L., Zhang B., Mills I. P., Milla M. E., Brunden K. R., Lee V. M. (2008) Effects of TNFα-converting enzyme inhibition on amyloid β production and APP processing in vitro and in vivo. J. Neurosci. 28, 12052–12061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Wu G., Sankaranarayanan S., Hsieh S. H., Simon A. J., Savage M. J. (2011) Decrease in brain soluble amyloid precursor protein β (sAPPβ) in Alzheimer's disease cortex. J. Neurosci. Res. 89, 822–832 [DOI] [PubMed] [Google Scholar]
  • 22. Davì G., Patrono C. (2007) Platelet activation and atherothrombosis. N. Engl. J. Med. 357, 2482–2494 [DOI] [PubMed] [Google Scholar]
  • 23. Maruyama M., Matsui T., Tanji H., Nemoto M., Tomita N., Ootsuki M., Arai H., Sasaki H. (2004) Cerebrospinal fluid tau protein and periventricular white matter lesions in patients with mild cognitive impairment: implications for 2 major pathways. Arch. Neurol. 61, 716–720 [DOI] [PubMed] [Google Scholar]
  • 24. Yaoita H., Sakabe A., Maehara K., Maruyama Y. (2002) Different effects of carvedilol, metoprolol, and propranolol on left ventricular remodeling after coronary stenosis or after permanent coronary occlusion in rats. Circulation 105, 975–980 [DOI] [PubMed] [Google Scholar]
  • 25. Buxbaum J. D., Oishi M., Chen H. I., Pinkas-Kramarski R., Jaffe E. A., Gandy S. E., Greengard P. (1992) Cholinergic agonists and interleukin 1 regulate processing and secretion of the Alzheimer β/A4 amyloid protein precursor. Proc. Natl. Acad. Sci. U.S.A. 89, 10075–10078 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Tachida Y., Nakagawa K., Saito T., Saido T. C., Honda T., Saito Y., Murayama S., Endo T., Sakaguchi G., Kato A., Kitazume S., Hashimoto Y. (2008) Interleukin-1β up-regulates TACE to enhance α-cleavage of APP in neurons: resulting decrease in Aβ production. J. Neurochem. 104, 1387–1393 [DOI] [PubMed] [Google Scholar]
  • 27. Van Nostrand W. E., Schmaier A. H., Farrow J. S., Cunningham D. D. (1990) Protease nexin-II (amyloid β-protein precursor): a platelet α-granule protein. Science 248, 745–748 [DOI] [PubMed] [Google Scholar]
  • 28. Bush A. I., Martins R. N., Rumble B., Moir R., Fuller S., Milward E., Currie J., Ames D., Weidemann A., Fischer P. (1990) The amyloid precursor protein of Alzheimer's disease is released by human platelets. J. Biol. Chem. 265, 15977–15983 [PubMed] [Google Scholar]
  • 29. Gnatenko D. V., Zhu W., Xu X., Samuel E. T., Monaghan M., Zarrabi M. H., Kim C., Dhundale A., Bahou W. F. (2010) Class prediction models of thrombocytosis using genetic biomarkers. Blood 115, 7–14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Fuster V., Badimon L., Badimon J. J., Chesebro J. H. (1992) The pathogenesis of coronary artery disease and the acute coronary syndromes (1). N. Engl. J. Med. 326, 242–250 [DOI] [PubMed] [Google Scholar]
  • 31. Adams J. E., 3rd, Sicard G. A., Allen B. T., Bridwell K. H., Lenke L. G., Dávila-Román V. G., Bodor G. S., Ladenson J. H., Jaffe A. S. (1994) Diagnosis of perioperative myocardial infarction with measurement of cardiac troponin I. N. Engl. J. Med. 330, 670–674 [DOI] [PubMed] [Google Scholar]
  • 32. Zetterberg H., Andreasson U., Hansson O., Wu G., Sankaranarayanan S., Andersson M. E., Buchhave P., Londos E., Umek R. M., Minthon L., Simon A. J., Blennow K. (2008) Elevated cerebrospinal fluid BACE1 activity in incipient Alzheimer disease. Arch. Neurol. 65, 1102–1107 [DOI] [PubMed] [Google Scholar]
  • 33. Olsson A., Höglund K., Sjögren M., Andreasen N., Minthon L., Lannfelt L., Buerger K., Möller H. J., Hampel H., Davidsson P., Blennow K. (2003) Measurement of α- and β-secretase cleaved amyloid precursor protein in cerebrospinal fluid from Alzheimer patients. Experimental Neurology 183, 74–80 [DOI] [PubMed] [Google Scholar]
  • 34. Xu F., Davis J., Miao J., Previti M. L., Romanov G., Ziegler K., Van Nostrand W. E. (2005) Protease nexin-2/amyloid β-protein precursor limits cerebral thrombosis. Proc. Natl. Acad. Sci. U.S.A. 102, 18135–18140 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Xu F., Previti M. L., Nieman M. T., Davis J., Schmaier A. H., Van Nostrand W. E. (2009) AβPP/APLP2 family of Kunitz serine proteinase inhibitors regulate cerebral thrombosis. J. Neurosci. 29, 5666–5670 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Schmaier A. H., Dahl L. D., Rozemuller A. J., Roos R. A., Wagner S. L., Chung R., Van Nostrand W. E. (1993) Protease nexin-2/amyloid β protein precursor. A tight-binding inhibitor of coagulation factor IXa. J. Clin. Invest. 92, 2540–2545 [DOI] [PMC free article] [PubMed] [Google Scholar]

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