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The Scientific World Journal
Volume 2012 (2012), Article ID 141240, 15 pages
Plasmalogens Inhibit APP Processing by Directly Affecting γ-Secretase Activity in Alzheimer’s Disease
1Experimental Neurology, Saarland University, Kirrbergerstraβe, 66421 Homburg/Saar, Germany
2Psychiatry, Saarland University, Kirrbergerstraβe, 66421 Homburg/Saar, Germany
3Deutsches Institut für DemenzPrävention (DIDP), Universität des Saarlandes, Kirrbergerstraβe, 66421 Homburg/Saar, Germany
4Neurodegeneration and Neurobiology, Saarland University, Kirrbergerstraβe, 66421 Homburg/Saar, Germany
Received 10 October 2011; Accepted 30 November 2011
Academic Editor: Dietmar R. Thal
Copyright © 2012 Tatjana L. Rothhaar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Lipids play an important role as risk or protective factors in Alzheimer’s disease (AD). Previously it has been shown that plasmalogens, the major brain phospholipids, are altered in AD. However, it remained unclear whether plasmalogens themselves are able to modulate amyloid precursor protein (APP) processing or if the reduced plasmalogen level is a consequence of AD. Here we identify the plasmalogens which are altered in human AD postmortem brains and investigate their impact on APP processing resulting in Aβ production. All tested plasmalogen species showed a reduction in γ-secretase activity whereas β- and α-secretase activity mainly remained unchanged. Plasmalogens directly affected γ-secretase activity, protein and RNA level of the secretases were unaffected, pointing towards a direct influence of plasmalogens on γ-secretase activity. Plasmalogens were also able to decrease γ-secretase activity in human postmortem AD brains emphasizing the impact of plasmalogens in AD. In summary our findings show that decreased plasmalogen levels are not only a consequence of AD but that plasmalogens also decrease APP processing by directly affecting γ-secretase activity, resulting in a vicious cycle: Aβ reduces plasmalogen levels and reduced plasmalogen levels directly increase γ-secretase activity leading to an even stronger production of Aβ peptides.
Plasmalogens are glycerophospholipids and major constituents of neuronal membranes. Beside human brain, where plasmalogens represent almost 20% of total glycerophospholipids, they can be found in all mammalian tissues, especially in the heart muscle [1–3]. Characteristic of plasmalogens is an enol ether double bond at the sn-1 position of the glycerol backbone (Figure 1), which makes plasmalogens more susceptible to oxidative stress than the corresponding ester-bonded glycerophospholipid, thus protecting cells from oxidative stress . Beside their function as antioxidants, plasmalogens are involved in membrane fusion [5, 6], ion transport [7–9], and cholesterol efflux [10, 11]. Furthermore, plasmalogens can be hydrolyzed by plasmalogen-selective phospholipase A2 [3, 12], generating fatty acids like arachidonic acid, which is important for modulating ion channels, regulating different enzyme activities like protein kinase A, protein kinase C, NADPH oxidase, Na+K+-ATPase, and others . Arachidonic acid released from plasmalogens can be metabolized to eicosanoids, acting as second messengers . Due to the fact that plasmalogens represent major constituents of neuronal membranes and are involved in different cellular processes, it is not unexpected that neuronal function also depends on a delicate balance in lipid composition of cellular membranes. Alterations of plasmalogen levels occur in several neurological disorders including Alzheimer’s disease (AD) [15–17], spinal cord trauma , ischemia [19, 20], Niemann-Pick disease , and multiple sclerosis . For AD, plasmalogen levels have been described to be reduced in autopsy brain samples from AD patients compared to age-matched control brains [15–17, 23, 24]. However, Pettegrew et al. reported no differences or even a slight increase in AD patients . One of the characteristic pathological hallmarks of AD is the massive accumulation of a small peptide, called amyloid beta peptide (Aβ) that aggregates in amyloid plaques [26, 27]. Aβ is generated by sequential processing of the amyloid precursor protein (APP), a type I integral membrane protein . For the generation of Aβ, APP is first cleaved by β-secretase BACE1, a membrane-bound aspartyl-protease , generating β-secreted APP (sAPPβ), and a C-terminal membrane-bound fragment, called C99 or β-CTF. C99 is further processed by γ-secretase, releasing the Aβ peptide. The γ-secretase has been identified as a multimeric complex of at least four transmembrane proteins, presenilin 1 (PS1) or presenilin 2 (PS2), nicastrin, anterior pharynx-defective 1 (Aph-1), and presenilin enhancer 2 (Pen-2) . The polytopic transmembrane proteins PS1 or PS2 constitute the active site of the protease . Beside the amyloidogenic processing of APP involving β- and γ-secretase activity, APP can be cleaved in a nonamyloidogenic pathway by α-secretases [32, 33]. The α-secretases have been identified as members of the ADAM family (a disintegrin and metalloproteinase), cleaving APP within the Aβ domain and therefore prevent the formation of Aβ [33–35]. As APP and its processing secretases are all integral membrane proteins, we analyzed in this study whether plasmalogens, major components of neuronal membranes, influence amyloidogenic and nonamyloidogenic processing of APP.
2. Materials and Methods
2.1. Chemicals and Reagents
All phosphatidylcholine and phosphatidylethanolamine species used in this study were purchased from Avanti Polar Lipids (Alabaster, AL, USA). Bovine serum albumin was purchased from Roth (Karlsruhe, Germany). All other reagents if not otherwise stated were purchased from Sigma Aldrich (Taufkirchen, Germany).
2.2. Cell Culture
SH-SY5Y cells were cultivated in Dulbecco’s Modified Eagle’s Medium (Sigma, Taufkirchen, Germany) with 10% FCS (PAN Biotech, Aidenbach, Germany). For incubation phospholipids solved in ethanol p.a. (Sigma, Taufkirchen, Germany) were added in a final concentration of 100 μM to culture media with 0.1% FCS. Incubation was carried out for 24 h with changing incubation medium with phospholipids after 12 h. Lactate Dehydrogenase-assay analysis revealed no signs for elevated cytotoxicity or reduced membrane integrity in presence of phospholipids (which is available at doi:10.1100/2012/141240).
2.3. Brain Samples
In total, 58 human postmortem brain samples from 21 control and 37 Alzheimer’s disease patients were used. For more details, see Table 1. Furthermore, for ex vivo analysis of γ-secretase activity postnuclear fractions from further 6 human postmortem brains obtained from confirmed AD patients were utilized. All human postmortem brains were obtained from BrainNet (Munich, Germany). In addition, postnuclear fractions from C57BI6/N wild-type mice were used. Preparation of postnuclear fractions is described in detail below.
2.4. Protein Amount Determination
All samples, including human postmortem brains and cells, were homogenized on ice using a PotterS (Braun, Melsungen, Germany) at 1500 revolutions per minute and 50 strokes. Protein determination was carried out according to Smith et al. . Briefly, 20 μL of bovine serum albumin in a concentration range of 0.1–1.2 μg/μL were used for determination of the standard curve. For determination of samples’ protein amount, 1-2 μL of each sample was loaded in triplicate onto a 96 well plate (Nunc, Langenselbold, Germany). 200 μL of reagent buffer (CuSO4 : bicinchoninic acid; 1 : 39; Sigma Aldrich, Taufkirchen, Germany) was added to each well using a multichannel pipette (Eppendorf, Hamburg, Germany). Incubation took place for 15 minutes at 37°C and afterwards for further 15 minutes at room temperature while shaking (IKA, Staufen, Germany) at 300 revolutions per minute. Absorbance was measured at a wavelength of 560 nm using a MultiscanEX (Thermo Fisher Scientific, Schwerte, Germany).
2.5. Western Blot Analysis
For detection of ADAM17, PS1 and BACE1 protein amount, proteins of cell lysate were separated on 10%–20% Tricine gels (Anamed, Groß-Bieberau, Germany). Western Blot (WB) analysis was performed using antibody ab39162 (1 : 5000; abcam, Cambridge, UK), sc-7860 (1 : 500; Santa Cruz, Heidelberg, Germany), and B0806 (1 : 1000; Sigma, Taufkirchen, Germany) respectively. W401B (1 : 10000; Promega, Mannheim, Germany) was used as secondary antibody, and detection was carried out using Western Lightning Plus-ECL solution (Perkin Elmer, Rodgau, Germany). Densiometric quantification was performed using Image Gauge software.
2.6. Postnuclear Fractions
For preparing postnuclear fractions (PNFs) SH-SY5Y wild-type cells, mouse brains or human AD brains were washed with PBS and homogenized in sucrose-buffer (pH 7.4) using a PotterS (Braun, Melsungen, Germany) at maximum speed. Protein amount was adjusted to 2 mg/mL for β- and γ-secretase assay and to 1 mg/mL for measuring α-secretase activity. After centrifugation at 900 rcf for 10 min at 4°C supernatants were collected and stored at −80°C.
2.7. In Vitro Incubation
PNFs were warmed up at 37°C, and phospholipids solved in ethanol p.a. were added in a final concentration of 100 μM. Samples were incubated while shaking (Multireax, Heidolph Instruments, Schwabach, Germany) for 15 min at 37°C before being centrifuged at 55.000 rpm for 75 min at 4°C for pelleting membranes.
2.8. Secretase Activities
Pelleted SH-SY5Y membranes were resuspended in 1 mL, and purified mouse brain membranes were resuspended in 2 mL Hepes-buffer pH 7.5. For solubilisation, samples were passed through needles (BD, Franklin Lakes, NJ, USA) with decreasing diameters. Samples were dispended in triplicate onto a black 96-well plate using 100 μL per well corresponding to 100 μg for SH-SY5Y and 50 μg for mouse brain membranes. After adding 3 μM α-secretase-substrate (Calbiochem, Darmstadt, Germany), fluorescence was detected with excitation wavelength at 340 ± 10 nm and emission wavelength at 490 ± 10 nm using Safire² Fluorometer (Tecan, Crailsheim, Germany). Kinetic was plotted for 120 cycles with kinetic intervals of 120 s. For specificity control, 10 mM EDTA/EGTA was used (supplement Figure S2).
β- and γ-Secretase Activities
Pelleted membranes were resuspended in 800 μL sucrose-buffer for SH-SY5Y membranes and 400 μL for mouse brain and human AD brain membranes. Membranes were solubilized as described above. For analysing γ-secretase activity, samples were dispensed in triplicate on black 96-well plates (Corning, Lowell, MA, USA) using 100 μL per well corresponding to 250 μg for SH-SY5Y membranes and 500 μg for mouse and human brain membranes. After adding 10 μM γ-secretase substrate (Calbiochem, Darmstadt, Germany), fluorescence was measured with excitation wavelength 355 ± 10 nm and fluorescence detection at 440 ± 10 nm in a Safire2 Fluorometer (Tecan, Crailsheim, Germany) at 37°C under light exclusion. Kinetics were plotted for 50 cycles with kinetic intervals of 180 s. For determination of assay specificity, we used γ-secretase Inhibitor X (50 μM) (Calbiochem, Darmstadt, Germany) (supplement Figure S3). For measuring β-secretase activity, samples were dispensed in triplicate on black 96 well plates (50 μL per well corresponding to 125 μg for SH-SY5Y membranes and 250 μg for mouse brain membranes). β-secretase substrate (Calbiochem, Darmstadt, Germany) was added with a final concentration of 20 μM and fluorescence was detected with an excitation wavelength at 345 ± 5 nm and emission wavelength at 500 ± 2.5 nm under light exclusion at 37°C. Kinetics were plotted for 180 cycles with kinetic intervals of 60 s. Assay specificity was validated using β-secretase Inhibitor II (1 μM) (Calbiochem, Darmstadt, Germany) (supplement Figure S4). For all secretase assays, the unspecificity was between 10% to 30%. The secretase activities presented, were calculated by subtracting the unspecific turnover determined by adding secretase inhibitors.
2.9. Mass Spectrometry Analysis
For determination of phosphatidylcholine and phosphatidylethanolamine levels in human control and AD brains, we used a 4000 quadrupole linear-ion trap (QTrap) equipped with a Turbo-V ion source (AB SCIEX, Darmstadt, Germany) connected to a 1200 Agilent HPLC (Agilent, Böblingen, Germany). Briefly, samples were adjusted to 6 mg/mL protein amount and 10 μL of the adjusted samples was pipetted onto a membrane (Whatman, GE Healthcare, Freiburg, Germany) fixed in the wells of a MultiScreen, solvinert 96-well plate with a 0.45 μm sterile filter at the bottom (Millipore, Schwalbach, Germany). This 96 well plate was placed onto a 1 mL 96-well deep well plate (Nunc, Langenselbold, Germany). Samples were dried under a gentle flow of nitrogen for at least 30 min at room temperature. Meanwhile, phenylisothiocyanate was diluted in ethanol : water : pyridine (1 : 1 : 1; v/v/v) to obtain a final 5% phenylisothiocyanate solution. 20 μL of this solution was pipetted onto each membrane, and the plate was incubated for 20 min at room temperature and afterwards dried under a gentle flow of nitrogen for at least 30 min. Samples were extracted using 300 μL 5 mM ammonium acetate buffer in methanol using a multichannel pipette (Eppendorf, Germany) and the plate was shaken at 300 revolutions per minute using a plate shaker (IKA, Staufen, Germany) at room temperature for 30 min. Samples were centrifuged (Thermo Scientific, Langenselbold, Germany) at 500 ×g for 2 min through 0.45 μm sterile filters into the 96 deep well plate and further diluted with 600 μL of 5 mM ammonium acetate dissolved in methanol : water (97 : 3, v/v) which also was used as the only running solvent. Finally plate was covered with a silicone mat and shook for further 2 min at 300 rpm at room temperature. Plate was placed into the cooled autosampler and detection was carried out using Analyst 1.5 software (AB SCIEX, Darmstadt, Germany). Phosphatidylcholine species were detected using MRM transitions (PCae C34:1: 746,6 m/z − 184 m/z; PCae C36:4: 768,6 m/z − 184 m/z; PCae C36:2: 772,6 m/z − 184 m/z; PCae C36:1: 774,6 m/z − 184 m/z; PCae C38:6: 792,6 m/z − 184 m/z; PCae C38:5: 794,6 m/z − 184 m/z; PCae C38:4: 796,6 m/z − 184 m/z; PCae C40:6: 820,6 m/z − 184 m/z), and phosphatidylethanolamine species were detected using a neutral loss scan for 141 m/z (PEae 36:4: 728,8 m/z; PEae 36:2: 732,8 m/z; PEae 38:6: 752,8 m/z; PEae 38:5: 754,8 m/z; PEae 38:4: 756,8 m/z; PEae 40:6: 780,8 m/z). For both species detection, 20 μL sample was injected into sample loop with the following running solvent gradient (0.0–2.4 min, 30 μL; 2.4–3.0 min, 200 μL; 3.0 min, 30 μL).
2.10. Quantitative Real-Time Experiments
RNA was extracted in total from cells using TRIzol reagent (Invitrogen, Karlsruhe, Germany), according to manufacturer’s protocols. High Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Darmstadt, Germany) was used to reverse-transcribe 2 μg total RNA. Quantitative real-time PCR analysis was carried out using Fast SYBR Green Master Mix on 7500 Fast Real-Time PCR System (7500 Fast System SDS Software 1.3.1.; Applied Biosystems, Darmstadt, Germany). All results were normalized to β-actin gene expression and changes detected in gene expression were calculated using 2−(ΔΔCt) method . The following primer sequences were used: ADAM17: 5′-CTG TGT GCC CTA TGT CGA TG-3′ and 5′-CAG CTG GTC AAT GAA ATC CC-3′; BACE1: 5′-GCA GGG CTA CTA CGT GGA GA-3′ and 5′-TAG TAG CGA TGC AGG AAG GG-3′; PSEN1: 5′-CTC AAT TCT GAA TGC TGC CA-3′ and 5′-GGC ATG GAT GAC CTT ATA GCA-3′; PSEN2: 5′-GAT CAG CGT CAT CGT GGT TA-3′ and 5′-GGA ACA GCA GCA TCA GTG AA-3′; APH1a: 5′-CAG CCA TTA TCC TGC TCC AT-3′ and 5′-GGA ATG TCA GTC CCG ATG TC-3′; APH1b: 5′-GTG TCA GCC CAG ACC TTC AT-3′ and 5′-CAG GCA GAG TTT CAG GCT TC-3′; NCSTN: 5′-CTG TAC GGA ACC AGG TGG AG-3′ and 5′-GAG AGG CTG GGA CTG ATT TG-3′; PSENEN: 5′-CAT CTT CTG GTT CTT CCG AGA G-3′ and 5′-AGA AGA GGA AGC CCA CAG C-3′; β-Actin: 5′-CTT CCT GGG CAT GGA GTC-3′ and 5′-AGC ACT GTG TTG GCG TAC AG-3′. To verify the results obtained by quantitative real time experiments, samples were separated on 3% agarose gels in TBE buffer (90 mM Tris, 90 mM boric acid, 2 mM EDTA, pH8.0).
2.11. Cytotoxicity Measurement
Cytotoxicity was measured utilizing Lactate Dehydrogenase Cytotoxicity Assay Kit (Cayman Chemical, Ann Arbor, USA) according to manufacturer’s protocol.
2.12. Statistical Analysis
All quantified data presented here is based on an average of at least three independent experiments. Error bars represent standard deviation of the mean. Statistical significance was determined by two-tailed Student’s t-test; significance was set at *; ** and ***.
3.1. Determination of PC-PL and PE-PL Levels in Human AD Postmortem Brain
In our previous studies, we reported a decrease in total phosphatidylethanolamine-plasmalogen (PE-PL)  and some phosphatidylcholine-plasmalogen (PC-PL) species  in postmortem AD brains. To elucidate the question which plasmalogen species are mostly changed in AD, we determined in this study the major PE-PL and PC-PL species. In total, we analyzed 58 human brain samples, 21 control brains with an average age of 75 years, and 37 brain samples obtained from AD patients with an average age of 78 years (Table 1). There were no significant differences in the age and sex of AD patients and controls. Mass spectrometry analysis revealed that PC-PL levels were significantly reduced in AD postmortem brains compared to healthy individuals, whereas PC-PL 18 : 1/18 : 1 showed the strongest reduction to 49,17% (Table 2). PE-PL levels were also reduced; however, changes in individual species were not significant (Table 2). However, the question whether a reduced plasmalogen level is caused by AD or plasmalogens themselves affect AD by directly affecting APP processing remained unclear and is addressed by the following experiments. As PC-PL 18 : 1 showed the strongest reduction in AD postmortem brains, we mainly focused on this lipid species and verified our results with PC-PL 20 : 4, PC-PL 22 : 6 or PE-PL 22 : 6.
3.2. Plasmalogens Do Not Affect Gene Expression of α-, β-, and γ-Secretase
In order to analyze whether plasmalogens affect APP cleavage by modulating gene expression of the secretases involved in the nonamyloidogenic and amyloidogenic processing of APP, we performed RT-PCR analysis of ADAM17, BACE1, and the components of the γ-secretase complex, PS1, PS2, Aph1a, Aph1b, nicastrin, and Pen-2 (Table 3). Therefore, cultured cells were incubated with the plasmalogens PC-PL 18 : 1 and PC-PL 20 : 4, respectively. Control cells were incubated with the corresponding phospholipid. As cellular system, we used the human neuroblastoma cell line SH-SY5Y. Significant changes in gene expression of ADAM17, BACE1, and the γ-secretase components were not observed, neither for PC-PL 18 : 1 nor for PC-PL 20 : 4 (Table 3). In accordance, total protein level of ADAM17, PS1 and BACE1 were not affected in presence of PC-PL 18 : 1 or PC-PL 20 : 4 (Figures 2(a) and 2(b)).
3.3. Influence of Plasmalogens on β-Secretase Activity
Cleavage of APP by β-secretase BACE1 is the initial step in the amyloidogenic processing of APP and the generation of Aβ peptides. To examine whether plasmalogens influence β-secretase activity directly, we first prepared purified membranes of SH-SY5Y cells, incubated these membranes with different plasmalogens and measured β-secretase activity with a fluorescent β-secretase assay [41, 42]. PC-PL 18 : 1 and PC-PL 22 : 6 slightly directly reduced β-secretase activity, whereas PC-PL 20 : 4 and PE-PL 22 : 6 revealed no effect on β-secretase activity (Figure 3(a)). To analyze a potential direct effect of plasmalogens on β-secretase activity ex vivo, we prepared purified membranes of mouse brains for directly measuring β-secretase activity. PC-PL 18 : 1 as well as PC-PL 20 : 4 showed slightly, however, not significant decreased β-secretase activity in purified membranes of mouse brains (Figure 3(b)). To validate these results, we incubated living SH-SY5Y cells in culture with PC-PL 18 : 1 and PC-PL 20 : 4, purified the membranes of the incubated cells and determined β-secretase activity. The β-secretase activity was not significantly affected in presence of plasmalogen PC-PL 18 : 1, whereas PC-PL 20 : 4 slightly reduced β-secretase activity (Figure 3(c)).
3.4. Plasmalogens Reduce Amyloidogenic Processing by Affecting γ-Secretase Activity
As described above, we observed no or only slightly reduced β-secretase activity in the presence of plasmalogens, indicating that the initial step in the generation of Aβ is not or only slightly affected by plasmalogens. To evaluate a potential effect of plasmalogens on the final step in the generation of Aβ peptides, we analyzed the effect of plasmalogens on γ-secretase activity. Similar to the experiment for the determination of β-secretase activity, we first incubated purified membranes of SH-SY5Y cells with different plasmalogens, PC-PL 18 : 1, PC-PL 20 : 4, PC-PL 22 : 6, and PE-PL 22 : 6, and directly measured γ-secretase activity. All analyzed plasmalogens PC-PL 18 : 1, PC-PL 20 : 4, PC-PL 22 : 6, and PE-PL 22 : 6 significantly reduced γ-secretase activity (Figure 4(a)). The strongest effect was observed for PC-PL 22 : 6, which reduced γ-secretase activity to 60%. In agreement with these findings, PC-PL 18 : 1 and PC-PL 20 : 4 also significantly reduced γ-secretase activity of ex vivo purified membranes from mouse brains to 80% (Figure 4(b)). Similar results were obtained when SH-SY5Y cells were cultured in presence of PC-PL 18 : 1 or PC-PL 20 : 4 (Figure 4(c)).
3.5. Influence of Plasmalogens on α-Secretase Activity
In contrast to β-secretase cleavage of APP which generates the N-terminus of Aβ, APP shedding by α-secretase prevents the formation of toxic Aβ peptides, because α-secretase cleaves APP within the Aβ domain [32, 33, 43]. In order to evaluate whether plasmalogens also affect nonamyloidogenic processing of APP, we directly measured α-secretase activity in purified membranes of SH-SY5Y cells and mouse brains. Plasmalogens PC-PL 18 : 1 and PC-PL 22 : 6 showed no effect on α-secretase activity, whereas PC-PL 20 : 4 and PE-PL 22 : 6 significantly increased α-secretase activity by 10% to 20% (Figure 5(a)) in purified membranes of SH-SY5Y cells. However, α-secretase activity was not significantly elevated for any of the analyzed plasmalogens, PC-PL 18 : 1, PC-PL 20 : 4, PC-PL 22 : 6, and PE-PL 22 : 6 when we used purified membranes of mouse brains instead of SH-SY5Y membranes.
3.6. Influence of PC-PL on γ-Secretase Activity in Human AD Brains
Above findings indicate that PC-PL reduce amyloidogenic processing of APP by affecting γ-secretase activity. The significantly reduced levels of PC-PL in the analyzed AD postmortem brains might therefore in return increase γ-secretase activity, leading to the massive generation of Aβ peptides, one of the characteristic hallmarks for AD. To reveal whether an increase in plasmalogens is in principle able to decrease γ-secretase in human AD brains we prepared purified membranes of six AD postmortem brains and incubated these membranes with PC-PL 18 : 1 and PC-PL 20 : 4 and the corresponding PC phospholipids. As described above, we found that PC-PL 18 : 1 is one of the species which is mostly changed in AD brains and was therefore selected for the incubation experiments. Indeed supplementation with PC-PL 18 : 1 reduced γ-secretase activity in five out of six AD brains (Figures 6(a) and 6(b)). A similar result was obtained by incubation with PC-PL 20 : 4. Interestingly, the same AD brain, which showed instead of decreased, increased γ-secretase activity for PC-PL 18 : 1 also showed increased γ-secretase activity for PC-PL 20 : 4 as well (AD brain 5, Figure 6). However, in total, PC-PL 18 : 1 reduced γ-secretase activity to 80%, statistical analysis revealed a value of 0.0508 (Figure 6(a)). For PC-PL 20 : 4, the mean reduction in γ-secretase activity was in a similar range with a value of 0.268, when the results of all six AD brains were combined (Figure 6(b)).
Plasmalogens are a subclass of glycerophospholipids characterized by the presence of an enol ether substituent at the sn-1 position of the glycerol backbone . Beside phosphoethanolamine-plasmalogens (PE-PL), reported to be the major plasmalogens in the brain, a further plasmalogen species, phosphatidylcholine-plasmalogens (PC-PL) occur in brain [3, 44]. Plasmalogens are common constituents of cellular membranes, most abundant in brain and heart, with important functions like signal transduction, ion transport, membrane fusion, cell-cell communication, and cholesterol dynamics (reviewed in: ). Alterations in the lipid composition of cellular membranes affect membrane fluidity and a number of cellular functions  and occur in several diseases, including AD [15, 17, 46–48], Parkinson’s Disease , Creutzfeldt-Jakob disease [50, 51], Gaucher disease , and Fabry disease [53, 54]. Recent studies have shown that several lipids influence the proteolytic processing of APP. Cholesterol and GM1 are reported to increase the generation of Aβ [55–57], whereas docosahexaenoic acid and sphingomyelin decrease amyloidogenic processing of APP [42, 58]. Beside their influence on the generation of Aβ, altered lipid composition might also affect the recently identified physiological function of APP. Beside the neuroprotective and memory enhancing effect of α-secreted APP [59–61], we and others could show that Aβ and the intracellular domain of APP (AICD), which is beside Aβ released by γ-secretase cleavage of β-CTF, regulate lipid homeostasis and gene transcription [39, 58, 62, 63]. AICD has been reported to affect gene transcription of several proteins, including APP, BACE, GSK3β , serine-palmitoyl-CoA transferase , and alkyl-dihydroxyacetonephosphate-synthase (AGPS) , a rate limiting enzyme in plasmalogen synthesis. Although plasmalogen levels are altered in AD brain samples and are major constituents of neuronal membranes, so far, it is not known whether plasmalogens affect the proteolytic processing of APP. Our studies on the proteolytic processing of APP revealed that plasmalogens decrease the amyloidogenic processing of APP. The detailed analysis of the secretases involved in Aβ generation, β- and γ-secretase, revealed that plasmalogens decrease amyloidogenic processing by reducing γ-secretase activity, whereas no or only a very slight reduction in the enzymatic activity of β-secretase was determined. All PC-PL and PE-PL species analyzed showed a highly significant decrease in γ-secretase activity to 60%–85% compared to the corresponding phospholipid lacking the enol ether. All plasmalogens independent of the fatty acid showed a decrease in γ-secretase activity further emphasizing that the observed effect is due to the enol ether and not to the fatty acid. Analyzed protein levels of PS1 and BACE1 in presence of PC-PL 18 : 1 and PC-PL 20 : 4 and RT-PCR analysis of PC-PL 18 : 1 or PC-PL 20 : 4 incubated cells showed that plasmalogens do not affect gene expression of the secretases involved in amyloidogenic processing of APP. This result is in line with our finding that PC-PL 18 : 1 and PC-PL 20 : 4 incubated cultured SH-SY5Y cells showed a similar reduction in γ-secretase activity like purified membranes of SH-SY5Y cells incubated with PC-PL 18 : 1 or PC-PL 20 : 4, further strengthening our finding that plasmalogens directly reduce the enzymatic activity of γ-secretase and that it is unlikely that indirect effects of plasmalogens might influence γ-secretase activity. The α-secretase activity, which prevents the formation of Aβ peptides, was in contrast to γ-secretase diversely affected by plasmalogens. Whereas PC-PL 18 : 1 and PC-PL 22 : 6 showed no significant differences in α-secretase activity compared to PC 18 : 1 and PC 22 : 6, respectively, PC-PL 20 : 4 and PE-PL 22 : 6 significantly increased directly α-secretase activity compared to the corresponding phospholipids suggesting that the fatty acids or the phospholipid headgroups are at least able to modulate the effect of the enol ether on α-secretase activity. However, this increase in α-secretase activity was only obtained when purified membranes of SH-SY5Y cells were used for the α-secretase assay, whereas on purified membranes of mouse brains all plasmalogens showed no significant changes in α-secretase activity. Many matrix metalloproteases (MMPs) are known to contribute to the α-secretase activity initiating the nonamyloidogenic pathway [32–34, 64]. These MMPs are differentially expressed in different cell lines or tissues [65–67]. The different effect for PC-PL 20 : 4 and PE-PL 22 : 6 might therefore be a result of different α-secretase composition in SH-SY5Y cells and mouse brains. Similar to the effect on the protein level and RNA level of BACE1 and the γ-secretase components, PC-PL 18 : 1 and PC-PL 20 : 4 revealed no changes in gene transcription of ADAM17. Because of the cell-type-specific effect of some plasmalogen species, we cannot exclude that plasmalogens influence some other MMPs, which contribute to α-secretase activity. However these effects cannot be observed for all tested plasmalogens pointing out that in respect to α-secretase the enol ether has only a minor or modulating effect.
To test if our findings are relevant in AD, we analyzed whether AD postmortem brains show altered levels of PC-PL and PE-PL. For PE-PL several studies have revealed that PE-PL level are reduced in AD brain [15, 17, 23, 68]. However, one study reported no differences or even a slight increase in PE-PL level in AD . By analyzing 37 AD postmortem brain samples compared to 21 control brains not affected by AD, we found PE-PL level to be reduced in AD brains; however, statistical analysis of the single PE-PL species revealed no significance. These findings are in line with the reduced PE-PL level reported by Ginsberg et al.  and Han et al. [24, 68] and our recent study that revealed also reduced PC-PL level in AD postmortem brain . Interestingly, PC-PL level were significantly decreased in AD postmortem brain, indicating that PC-PL might play an important role in the development of AD, although PC-PL are less abundant in neuronal membranes compared to PE-PL . The importance of PC-PL is further substantiated by the results obtained for γ-secretase activities. As PC-PL level showed the most prominent reduction in AD brains and AD brains show increased Aβ generation and accumulation, we tested whether incubation of PC-PL 18 : 1 and PC-PL 20 : 4 on purified membranes of human AD postmortem brains might also reduce γ-secretase activity. Indeed, supplementation with PC-PL 18 : 1 or PC-PL 20 : 4 on AD brain samples reduced γ-secretase activity in five out of six analyzed AD brains, further strengthening the importance of PC-PL in APP processing and probably the development of AD. Incubating plasmalogens ex vivo on human postmortem material has its clear limitations; further studies are required to clarify whether an increase in plasmalogen levels are a suitable target, which might have a positive impact in AD.
However, the importance of plasmalogens on the pathogenesis of AD is further substantiated by our recent finding that AGPS, a rate-limiting enzyme in plasmalogen synthesis, is regulated by APP processing . Increased Aβ levels as observed in AD lead to peroxisomal dysfunction and reduced AGPS protein stability, resulting in reduced AGPS protein level and reduced plasmalogen de novo synthesis . Furthermore, Aβ peptides have been shown to increase the formation of reactive oxidative species [69–74], also reducing plasmalogen levels, because plasmalogens are susceptible to oxidative stress and function as antioxidants. Reduced plasmalogen levels in AD might also be a result of increased phospholipase A2 activity. Sanchez-Mejia et al. recently reported that Aβ stimulates phospholipase A2 [75, 76], responsible for the degradation of plasmalogens. Increased levels of Aβ peptides therefore, decrease plasmalogen levels by reducing AGPS protein stability, increasing oxidative stress and activation of phospholipase A2. Therefore, in AD, a vicious cycle between APP processing and plasmalogen level occurs. Aβ peptides reduce the plasmalogen level and reduced plasmalogen level directly increase γ-secretase activity leading to an even stronger production of Aβ peptides. In summary, our findings indicate that plasmalogens might play a crucial role in the development of AD and that a delicate balance in lipid composition of cellular membranes is important for neuronal function.
The authors gratefully thank BrainNet for the brain samples. The research leading to these results has received fundings from the EU FP7 project LipiDiDiet, Grant Agreement no. 211696 (TH), the DFG (TH), the Bundesministerium für Bildung, Forschung, Wissenschaft und Technologie via NGFNplus and KNDD (TH), the HOMFOR 2008 (MG), and HOMFOR 2009 (MG, TH) (Saarland University research grants).
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