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. Author manuscript; available in PMC: 2018 Oct 22.
Published in final edited form as: ACS Chem Neurosci. 2017 Feb 20;8(6):1348–1357. doi: 10.1021/acschemneuro.7b00006

Amyloid β ion channels in a membrane comprised of brain total lipid extracts

Joon Lee 1,#, Young Hun Kim 1,#, Fernando T Arce 4,#, Alan L Gillman 3, Hyunbum Jang 5, Bruce L Kagan 6, Ruth Nussinov 5, Jerry Yang 1,2, Ratnesh Lal 1,3
PMCID: PMC6197823  NIHMSID: NIHMS991109  PMID: 28135799

Abstract

Amyloid β (Aβ) oligomers are the predominant toxic species in the pathology of Alzheimer’s disease. The prevailing mechanism for toxicity by Aβ oligomers includes ionic homeostasis destabilization in neuronal cells by forming ion channels. These channel structures have been previously studied in model lipid bilayers. In order to gain further insight into the interaction of Aβ oligomers with natural membrane compositions, we have examined the structures and conductivities of Aβ oligomers in a membrane composed of brain total lipid extract (BTLE). We utilized two complementary techniques: atomic force microscopy (AFM) and black lipid membrane (BLM) electrical recording. Our results indicate that Aβ1–42 forms ion channel structures in BTLE membranes, accompanied by a heterogeneous population of ionic current fluctuations. Notably, the observed current events generated by Aβ1–42 peptides in BTLE membranes possess different characteristics compared to current events generated by the presence of Aβ1–42 in model membranes comprised of a 1:1 mixture of DOPS and POPE lipids. Oligomers of the truncated Aβ fragment Aβ17–42 (p3) exhibited similar ion conductivity behavior as Aβ1–42 in BTLE membranes. However, the observed macroscopic ion flux across the BTLE membranes induced by Aβ1–42 pores was larger than for p3 pores. Our analysis of structure and conductance of oligomeric Aβ pores in a natural lipid membrane closely mimics the in vivo cellular environment suggesting that Aβ pores could potentially accelerate the loss of ionic homeostasis and cellular abnormalities. Hence, these pore structures may serve as a target for drug development and therapeutic strategies for AD treatment.

Keywords: Alzheimer’s disease, Amyloid β peptides, Amyloid channels, brain total lipid extract, amyloid−membrane interactions, Atomic force microscopy, Black lipid membrane electrophysiology

Graphical Abstract

graphic file with name nihms-991109-f0001.jpg

Introduction

Alzheimer’s disease (AD) is one of the most devastating neurodegenerative diseases. It is characterized by the progressive loss of memory and cognition. One of the pathological hallmarks of AD is the deposition of fibrillar amyloid plaques in the brains of AD patients1. Amyloid beta (Aβ) peptides, the major constituents of these plaques, are derived by enzymatic cleavage from the transmembrane amyloid precursor protein (APP); a process involving α-, β- and γ-secretases. The full length Aβ1–40/42 is produced by cleavage of APP by β- and γ-secretases, and the smaller hydrophobic Aβ17–42 (p3) fragment is produced by α- and γ-secretase APP cleavage25.

Although accumulation of Aβ plaques in AD brains was believed to be directly correlated to the disease, increasing evidence indicates that small Aβ oligomers are the main toxic species6,7. However, the exact disease mechanism has not yet been fully elucidated. A prevailing mechanism of AD pathology postulates that Aβ oligomers negatively affect neuronal function and survival by forming ion permeable pores, resulting in the destabilization of cell ionic homeostasis812. This hypothesis is supported by data from several experimental techniques and molecular dynamics (MD) simulations studying AβEinduced permeability of ions across model lipid membranes9,10,13,14, as well as an “optical patch clamp” method whereby total internal reflection fluorescence (TIRF) microscopy data revealed the presence of localized Ca2+ transients during cellular influx across Xenopus oocyte membranes15.

The p3 fragment represents an additional source of toxicity from APP processing that contributes to neuronal cell death4,16. It was shown that Aβ22–35 peptides induce specific increases of Ca2+ levels in neural cells; these effects of Aβ oligomers on cellular Ca2+ influx could be inhibited by zinc ions17. We have previously shown that the p3 and Aβ9–42 (N9) fragments form pores in black lipid membrane and permeabilize the membranes of neuronal cells4,18.

The structure and function of these Ca2+Eflux inducing Aβ pores have been primarily studied using in vitro techniques. Atomic force microscopy (AFM) and Electron microscopy (EM) have been the most frequently utilized imaging techniques for examining the structure of Aβ pores in model membranes because of their highEresolution capabilities9,19,20. AFM images of Aβ oligomers reconstituted in model lipid bilayers show poreElike structures with outer pore diameters of 8E12 nm2123. Electrical recording data obtained for various Aβ oligomers in suspended lipid membranes (also called black lipid membranes or BLM) display the heterogeneous multiple conductances characteristic of Aβ and all amyloid peptides studied to date14,24. These current fluctuations show weak cation selectivity, voltage independence, inhibition by Congo red, and reversible blockage by Zn2+ ions10,25,26. Previously, we compared the pore activities and structures of Aβ1–42 and AβpE3–42 in anionic lipid membrane comprised of DOPS/POPE (1:1, wt/wt)23,24. Because of the post translational cleavage of amino acid residues 1 (Asp) and 2 (Ala), (of which amino acid 1 is a negatively charged residue at neutral pH), and modification of the 3 (Glu) residue to the hydrophobic pyroglutamate (pE), AβpE3–42 oligomeric subunits are more hydrophobic and more stable in the membrane allowing larger transient pore structures to form than for Aβ1–42 pores, resulting in larger ion conductance of Aβ pores24

Most of these previous studies were conducted in model lipid membranes, not thoroughly displaying all of the structural complexities of a mixture of lipids found in natural cellular membranes. Cell membranes contain various lipids that work cooperatively in specialized domains27. AD brains have been shown to contain and increased fraction of anionic lipids such as phosphatidylserine (PS) and phosphatidylglycerol (PG) compared to the brains of cognitively normal patients, while the percentage of neutral lipids like phosphatidylcholine (PC) remains simliar28. Also, anionic lipids, but not neutral lipids, show dose dependent increase in cation influx by Aβ peptides29 and the pore activity in anionic lipid membranes was decreased when cholesterol was introduced30,31. These findings suggest the possible role of negatively charged lipids in permeability induced by Aβ peptides. Our prior work in this field has focused primarily on DOPS/POPE membranes as an extreme model of the anionic lipid membrane found in progressed AD patients. To better simulate the initial pathogenesis of AD, here we used a membrane comprised of natural brain total lipid extracts (BTLE) which is considered to be the closest mimic of the healthy (or very early AD stage) neuronal membrane32. In the present study, we study the structures and ion conducting of Aβ peptides in BTLE membranes. We utilize two complementary techniques, AFM, and BLM electrical recordings, to identify and characterize the biophysical properties of Aβ1–42 pore formation and examined the structure and ion conducting properties of Aβ pores in BTLE membranes and compared with the anionic DOPS/POPE (1:1, wt/wt) membranes. Our AFM images reveal poreElike structures for the Aβ1–42 peptides in both BTLE and DOPS/POPE membranes. Interestingly, the ion conducting activity of Aβ1–42 in BTLE membranes exhibit notable differences when compared with the ion conducting properties of these peptides in DOPS/POPE membranes. We observed similar difference in the ion conducting behavior of p3 peptides when incorporated in BTLE vs. DOPS/POPE membranes. These studies reveal that both fullElength Aβ and its nonEamyloidogenic p3 fragment form pores in natural BTLE membranes, suggesting that both peptides have the capability to alter neuronal cell homeostasis and play toxic roles in AD.

Results and Discussion

Interaction with BTLE or DOPS/POPE liposomes facilitate the self-assembly behavior of Aβ

Thioflavin T (ThT) molecules are often used to monitor the selfEassembly kinetics of Aβ, as ThT molecules show enhanced fluorescence intensity upon binding to β sheet structures in amyloid fibrils33,34. Here, we used ThT fluorescence to monitor the selfEassembly kinetics of Aβ1–42 in the presence of liposomes comprised of DOPS/POPE (1:1, wt/wt) or BTLE (Fig. 1). We examined the effect of anionic lipid (DOPS) which is one of the major known compositions of BTLE on Aβ1–42 selfEassembly although the structural identity of ~60% of the lipids in BTLE samples is unknown (See SI Table 1). All ThT fluorescence traces show a sigmoidal trend indicating a growth of β sheet containing fibril structures3537. At the initiation of each experiment, we observed low ThT intensity, indicating the absence of noticeable β-sheet structures. This low initial intensity remained approximately constant for the first few hours, and only a slight increase in ThT fluorescence was observed during this period. In this phase, known as the lag phase time (tlag), monomers aggregate into small oligomers to form nucleates or seeds36,38. The ThT intensity then rapidly increased as small Aβ oligomers elongated into fibrils and the fluorescence reached the final equilibrium phase. Notably, Aβ1–42 started selfEassembly faster when either BTLE (red circle) or DOPS/POPE (blue square) liposomes were present in the solution compared to observed aggregation kinetics of Aβ1–42 in lipidEfree solution (dark blue triangle). These results indicate that the presence of a membrane surface plays an important role in selfEassembly of Aβ1–42.

Figure 1.

Figure 1.

Self-assembly of Aβ1–42 in the presence of BTLE and DOPS/POPE (1:1, wt/wt) liposomes monitored by ThT fluorescence. ThT fluorescence intensity of Aβ1–42 in the presence of DOPS/POPE (blue square) or BTLE (red circle) increased faster than the ThT fluorescence intensity of Aβ1–42 alone (dark blue triangle). tlag and k were obtained by fitting the data from ThT fluorescence using eq. 1 (given in the Materials and Methods section). ThT fluorescence was measured every 5 min at 25 °C after stirring for 2 sec. In these experiments, a 10 μM solution of Aβ1–42 was incubated with or without BTLE or DOPS/POPE liposomes in 10 mM HEPES (150 mM KCl, 1 mM MgCl2) buffer. The data represent an average from 5 independent measurements and the standard deviation was used for error bar.

The observed timeEcourse of ThT fluorescence curves were background corrected by subtracting the ThT fluorescence curve without Aβ1–42 for Aβ1–42 in lipidEfree solution or ThT fluorescence curve with the liposomes (either BTLE or DOPS/POPE) in solution for Aβ1–42 with the liposomes, respectively and were fitted using Eq (1)23,36.

F=F0+a1+ek(ttht) (1)

where t is time, tht is the time it takes to get half-maximal ThT fluorescence, F0 is the initial ThT fluorescence intensity, a is the amplitude of the highest intensity, and k is the rate constant. The lag phase time (tlag) was calculated from the fitting parameters obtained above using Eq (2).

tlag=tht2k (2)

From the fitted curves (black solid lines) in Fig. 1, we obtained a tlag of 8.4 ± 0.3 h for Aβ1–42 with BTLE liposomes, 11.3 ± 0.5 h for Aβ1–42 with DOPS/POPE, and 19.7 ± 3.4 h for Aβ1–42 alone. The shortest observed tlag for Aβ1–42 aggregation was in BTLE membranes suggesting that the mixture of various lipids present in BTLE might increase the speed of the formation of seeds. The low ThT fluorescence intensity at this initial phase of the aggregation process suggests that there are very few protofibril species in solution. Previous reports from AFM experiments reveal small globular shape of Aβ oligomers23,39 and from structural NMR experiments of Aβ1–40 in this phase reveals a partially folded structure forming a 310 helix40 and the presence of oligomers containing α-helix and reversible β-sheet structures41.

Although the observed tlag for Aβ1–42 was shortest in the presence of BTLE liposomes, the aggregation rate constant (k) of Aβ with DOPS/POPE (1.1 ± 0.1 h−1) was faster than Aβ1–42 with BTLE (0.8 ± 0.1 h−1) or Aβ1–42 alone (0.3 ± 0.1 h−1). These results suggest that Aβ1–42 peptides prefer more to form seeds with BTLE than to elongate into fibrils compared to the seeds formed with DOPS/POPE. As small oligomeric Aβ species are found to play a more prominent role in AD neuropathology42,43 than e.g., Aβ fibrils, the structure of these oligomeric species in the lipid membranes and the electrophysiological activities were studied using AFM and BLM.

Distribution of Aβ1–42 oligomer structures on BTLE and DOPS/POPE membranes

We employed AFM to study the poreElike structures and surface interactions of Aβ1–42 oligomers in BTLE and DOPS/POPE (1:1, wt/wt) membranes. As a control, intact BTLE membranes that were not exposed to Aβ1–42 oligomers were imaged. The untreated membrane (bright region, Fig. 2A) had a flat and smooth surface with a bilayer thickness of ~5.4 nm, in agreement with previous reports on the thickness of DOPS/POPE membrane (~5 nm)23. When Aβ1–42 oligomers were reconstituted at 1:20 peptide to lipid mass ratio in a BTLE membrane, we observed a large population of small annular objects protruding 1 – 2 nm out of the plane of the membrane (Fig. 2B). Structures containing features that protrude < 1.5 nm protruding outside of the plane of the membrane were interpreted to be Aβ oligomers inserted in the membrane. Their surface density was estimated to be 300 – 500 oligomers/μm2 and the majority of these structures had measured diameters between 10 – 20 nm (Fig. 2B). Two predominant subpopulations of oligomers with diameters centered around 12 nm and 16.5 nm were observed. One of these subpopulations centered around 12 nm displayed poreElike structures (inset, Fig. 2B), comparable to those previously observed with Aβ oligomers inserted into synthetic lipid9,10,22,44. In addition, we observed another minor subpopulation of larger oligomers partitioned on the bilayer surface with heights of 3 – 4 nm above the membrane plane. In DOPS/POPE membranes, Aβ1–42 oligomers were populated with a heights ranging from 1 E 5 nm outside the membrane plane, and a diameters ranging from 10 E 45 nm (Fig. 2C). We found that the density of Aβ1–42 oligomers was lower in DOPS/POPE membranes compared to BTLE membranes, although more of larger oligomers were present in DOPS/POPE membranes. This result suggests that more oligomers interact with the surfaces of BTLE membranes than to membranes comprised of DOPS/POPE and might possibly be responsible for shorter tlag for Aβ1–42 with BTLE liposomes.

Figure 2.

Figure 2.

AFM images of reconstituted Aβ1–42 oligomers in BTLE or DOPS/POPE supported lipid membranes on mica. (A) AFM image of a BTLE membrane in the absence of Aβ. The dark region in right top corner is the mica surface. A depth histogram reveals a membrane thickness of 5.4 nm. (B) AFM image of a BTLE membrane reconstituted with Aβ1–42 oligomers (1:20 peptide/lipid mass ratio). Numerous small pore-like structures are visible at higher magnification (inset: 50 × 50 nm2 area). The cross section analysis from the dashed line shows most of the oligomers protrude < 1 nm from the membrane surface. Histograms representing the frequency of Aβ1–42 oligomers as a function of diameter shown below the cross section analysis reveal populations of oligomers mostly ranging from 9 – 20 nm. (C) AFM image of a DOPS/POPE membrane with Aβ1–42 oligomers (1:20 peptide/lipid mass ratio). Only sparsely populated small Aβ1–42 oligomers were found. The cross section analysis from the dashed line in the AFM image shows the heights of small features protrude mostly ~1 nm from the membrane surface with some larger Aβ1–42 oligomers. Both the cross sectional height estimates and the histograms of the diameters of Aβ1–42 oligomers were generated using a Nanoscope Analysis program. Scale bars represent 100 nm.

Pore structures of Aβ1–42 in BTLE and DOPS/POPE membranes

Computational studies can provide predictions of membrane-bound conformations of the Aβ pores with atomic-level detail. Anionic DOPS/POPE (1:2 molar ratio) lipid membranes were used to simulate the pore structure of Aβ1–42. We modeled Aβ1–42 pores in a β-barrel topology using two Aβ1–42 conformers with the β-strand-turnEβ-strand motif in a similar manner as we reported in previous computational studies22,45,46. Explicit MD simulations on Aβ1–42 barrels embedded in the DOPS/POPE membrane provided fully relaxed pore conformations in the lipid environment45. For the 18Emer barrels, the calculated averaged pore diameter and the maximum pore height across the bilayer are ~7.9 and ~6.9 nm for the conformer 1, and ~8.0 and ~6.8 nm for the conformer 2 barrels (Fig. 3A). The lateral pore diameter depends on the number of Aβ monomers involved in the pore, suggesting that large sizes of pore might be possible with a large number of Aβ subunits. However, the pore height across the membrane is almost the same among the different computed conformers, since each conformer contains a distinct turn region. The longer heights of the Aβ1–42 barrels compared to the bilayer thickness of ~5 nm suggest that both sides of the fullElength Aβ pores protrude from the membrane surface (Fig. 3A).

Figure 3.

Figure 3.

Top and lateral views of simulated (A) Aβ1–42 channel structures embedded in the DOPS/POPE lipid bilayer for the conformer 1 and 2 18-mer barrels. The N-terminus side is represented in the upper leaflet and the turn region is represented in the lower leaflet. In the surface representation of the barrel, hydrophobic residues are shown in white, polar and Gly residues are shown in green, positively charged residues are shown in blue, and negatively charged residues are shown in red. For DOPS/POPE lipids, red dots denote the head groups, and cyan dots represent the lipid tails. Representative 3D AFM images of pore structures of Aβ1–42 in BTLE (B) and in DOPS/POPE (C) membranes.

The MD models of the Aβ1–42 pores show that the NEterminus of Aβ1–42 extends approximately 1–1.5 nm outside of the plane of the DOPS/POPE bilayer, while the turn region at the other bilayer leaflet only protrudes less than 0.5 nm (lateral view in Fig. 3A). The calculated extensions of the N-terminus of Aβ1–42 protruding out of the membrane in Aβ1–42 oligomers agree well with the measured pore heights by AFM (Fig. 2B and Fig. 3C).

Among these oligomer structures imaged by AFM, wellEdefined Aβ1–42 pore structures were observed in both BLTE and DOPS/POPE membranes (Fig. 2 and Fig. 3). The quality of AFM images can often vary among different samples due to tip degradation, but high resolution imaging, when achieved, still revealed that pore structures are usually composed of 4 to 5 subunits of Aβ1–42 oligomers and that the outer diameters of pore structures are comparable to each other with the average diameters of 11.4 ± 1.5 nm (n = 11) in BTLE membrane and 13.9 ± 2.5 nm (n = 12) in DOPS/POPE membrane, and these dimensions are comparable to the previous results found in other lipid membranes4,9,10,22 (Fig. 3B and 3C).

Ion Conducting Activity of Aβ1–42 in BTLE and DOPS/POPE membranes

We examined the ion conducting activity of Aβ1–42 in BTLE and model DOPS/POPE (1:1, wt/wt) lipid membranes, using a BLM electrical recording setup9,10,47. Upon addition of Aβ1–42 into the recording electrolyte solution, we observed a heterogeneous population of ion current fluctuations by recording current vs. time trances under a constant applied potential of 100 mV (Fig. 4), consistent with the formation of Aβ1–42 oligomeric pores of varying size48. These transient ion conducting events can be categorized into three types; bursts, steps and spikes24. We observed mostly burst-like activities in the current vs. time traces of Aβ1–42 in the BTLE membrane (Fig. 4A and B). Notably, the observed frequency of burst-like events was lower in DOPS/POPE membranes compared to the frequency of bursts in BTLE membranes, while the frequency of well-defined, step-wise current events typically characteristic of ion channels was more pronounced in DOPS/POPE membranes (Fig. 4C). Based on these observations of the ion conducting activity of Aβ1–42 in the two different types of lipid membranes, we hypothesized that the ion conducting properties of Aβ oligomers is dependent on the composition of lipid head groups that could influence the observed populations of ionic bursts, steps or spikes across membranes. To support this hypothesis, we examined the ion conducting properties of p3 (Aβ17–42), which is a truncated version of Aβ1–42 losing many charged amino acid residues that are putatively responsible for interactions with lipid head groups. Similar to the observations with full length Aβ1–42 peptides, heterogeneous, burst-like features were dominantly present when p3 was incubated with BTLE membranes, while mostly step-like current events were found when p3 was incubated with DOPS/POPE membranes (See SI Figs. S1A and S1C). These results support that the electrophysiological characteristics of Aβ oligomers in lipid membranes could be more dependent on lipid compositions rather than peptide sequence. In order to confirm the observed ion conductance across membranes in the BLM experiments was due to the presence of Aβ oligomers, we added Zn2+ ions to the recording electrolyte; Zn2+ is known to inhibit the ion conducting properties of Aβ in membranes49. Upon addition of Zn2+ ions into the cis chamber of the bilayer setup, the macroscopic conductance of Aβ1–42 oligomers decreased gradually and disappeared completely within 5 min in both BTLE and DOPS/POPE membranes (Fig. 4B and 4D). The conductance of p3 peptides in membranes was also be blocked by Zn2+ ions in both BTLE and DOPS/POPE membranes (See Figs. S1B and S1D). We also qualitatively observed that the p3 pore activity appeared faster than for Aβ1–42 in most of the experiments using BTLE or DOPS/POPE membranes, perhaps suggesting faster kinetics of insertion and pore formation for p3 in membranes although more experiments would be needed to validate the observation.

Figure 4.

Figure 4.

Representative electrical recordings of Aβ1–42 in BTLE and DOPS/POPE (1:1, wt/wt) membranes. Current vs. time trace of (A) Aβ1–42 in a BTLE membrane and (B) inhibition of Aβ1–42 conductance by addition of Zn2+ (10 mM final ZnCl2 concentration, cis chamber). Current vs. time trace of (C) Aβ1–42 in a DOPS/POPE membrane (D) Inhibition of Aβ1–42 conductance by addition of Zn2+ in DOPS/POPE membrane (10 mM final ZnCl2 concentration, cis chamber). In all experiments, we used a final concentration of 10 μM Aβ1–42 in both chambers of the bilayer setup. Bilayers were formed by the painting method57 and a bias potential of ±100 mV was applied. Membrane capacitance was monitored to verify membrane stability. The recording electrolyte consisted of 150 mM KCl, 1 mM MgCl2, 10 mM HEPES (pH 7.0) buffer was used.

We further examined the differences in amplitudes of ion influx through Aβ1–42 and p3 pores in BTLE and DOPS/POPE membranes. The amplitudes of ion influx was calculated by dividing each observed current from step and burst events by the applied voltage (Fig. 5). Observed amplitude of ion flux values through Aβ1–42 ranged between 5 – 200 pS in BTLE membrane and 5 – 300 pS in DOPS/POPE membrane (Fig. 5A and C). In the case of p3, these values varied from 5 – 140 pS in BTLE membrane and 5 – 320 pS in DOPS/POPE membranes (Fig. 5B and D). The distribution of peaks in both membranes appeared mostly between 10 – 30 pS. However, both Aβ1–42 and p3 oligomers in DOPS/POPE membranes exhibited a higher fraction of current events with conductance above 150 pS (Fig. 5C and D inset) compared to their conductance properties in BTLE membranes. In addition, we analyzed macroscopic ionic flux across the membranes through Aβ1–42 and p3 pores by integrating the current traces (i.e., providing an estimate for the total transported charge, Q (C) over a time period of 5 min (n ≥ 3) for both BTLE and DOPS/POPE membranes (Fig. 6). The total transported charge of Aβ1–42 and p3 peptides in BTLE and DOPS/POPE membranes is significantly different (p = 0.028) as concluded from a two way ANOVA test. The contribution of peptides or the interaction of both peptides and membranes was found to be insignificant (p = 0.883 and p = 0.614, respectively) as compared to the contribution from membrane types. We observed a ~2-fold increase in the average macroscopic ion flux for Aβ1–42 in DOPS/POPE membranes compared to the flux of ion through Aβ1–42 oligomers across BTLE membranes and a ~10-fold increase was observed in the average total transported charge through p3 oligomers in DOPS/POPE membranes compared to BTLE membranes over the same window of time. The average values for the total transported charges over a 5 minute time window were 3.0 × 106 C for Aβ1–42 and 1.4 × 106 C for p3 in BTLE membranes, whereas these values were 7.8 × 106 C for Aβ and 9.7 × 106 C for p3 in DOPS/POPE membranes (Fig. 6).

Figure 5.

Figure 5.

Histograms of frequency vs. conductance of ion current fluctuations of Aβ1–42 in (A) BTLE membranes or (B) DOPS/POPE membranes and p3 in (C) BTLE membranes or (D) DOPS/POPE membranes. Insets are expanded representation of the histograms from 50 pS to 350 pS (observed current/applied voltage).

Figure 6.

Figure 6.

Quantification of ion influx through Aβ1–42 and p3 using the total transported charge, Q (C), in BTLE and DOPS/POPE membranes (n = 5) over a 5 minute period of time. Current vs. time traces of 11 μM Aβ1–42 and 11 μM p3 pore activities were integrated to quantify Q through Aβ1–42 and p3 pores (5 min. time window, +100 mV). The total transported charge of Aβ1–42 and p3 peptides in BTLE and DOPS/POPE membranes is significantly different (p = 0.028) from two way ANOVA test. The data reveal that ~2-fold increase in Q for Aβ1–42 in DOPS/POPE membranes compared to the Q in BTLE membranes and ~10-fold increase was observed in Q for p3 in DOPS/POPE membranes compared to the Q in BTLE membranes. The electrolyte solution consisted of 150 mM KCl, 1 mM MgCl2, 10 mM HEPES at pH 7.0. The data represent mean ± standard errors of the mean.

The interaction of Aβ1–42 with BTLE and DOPS/POPE membranes differs considerably in BLM electrical recording (Fig. 4). Current vs. time traces of Aβ1–42 in BTLE membrane show mostly burst-like activities. These results suggest that pores with varying dimensions and subunit composition are active in the membranes. This observation is consistent with the multilevel current events observed for various amyloid pores4,10. Previously, we have reported that conductance of Aβ1–42 oligomers pores ranged between 30 E 360 pS in DOPS/POPE (1:1) lipid membranes, with 90% of these current events exhibiting a conductance value of ~33 pS24. Even higher conductance (on the order of 1 nS) have been reported for Aβ1–42 oligomers in membranes composed of POPE and PS lipid mixtures14,50. Current vs. time traces of Aβ1–42 display burst-like events as well as step-wise current events in DOPS/POPE membranes (Fig. 4C). The conductance of Aβ1–42 in both of these types of membranes was seen slightly smaller than the previously reported values.

Although it is impractical to study the contribution of each individual lipid components in the BTLE membrane on Aβ1–42 pore activity, one potential difference between BTLE and model lipid membranes used for the characterization of Aβ oligomeric pores is the dominance of negatively charged phosphatidylserine (PS) group. PS lipids are one of the major known constituents of BTLE (10.6%, wt/wt) but still less than DOPS/POPE (1:1, wt/wt) lipids. AD brains have higher fraction of PS lipids compared to the brains of cognitively normal, suggesting a possible role of negatively charged lipids in AD pathology5153. We observed a higher frequency of channelElike transmembrane current events from Aβ1–42 oligomers in DOPS/POPE membranes compared to the ion transport activity of this peptide in BTLE lipid bilayers (Fig. 4).

In addition, the frequency of burst-like ion conducting events from Aβ pores in BTLE membranes was lower than in DOPS/POPE membranes. These observations could arise from a variety of reasons. First, different interactions of Aβ1–42 peptides with the lipid head groups could affect the current events. Second, there are potential differences in phase transition temperature (Tm) of the lipids within the membranes. For example, the Tm of POPE lipid is 24 °C while the Tm of BTLE is not known. Additionally, low stability of the pore structures in BTLE membranes could shorten the life time of the activities and cause an overlap between current events. To shed some light on a possible cause for the different conductance properties of Aβ1–42 oligomers in different membranes, we examined the transmembrane ion transport properties of p3 peptides in both BTLE and DOPS/POPE lipid membranes. Since the charged residues of Aβ1–42 that can interact with the head groups of the lipids are mostly located in the N-terminal region of Aβ1–42, p3, as a truncated version of Aβ1–42, can reveal if the interaction of the N-terminal region of full length Aβ1–42 with the lipid headgroups can affect the ion conducting characteristics of Aβ1–42 in membranes. We observed a trend of more burst-like current events with p3 peptides in BTLE membranes, whereas we observed more step-like current events of this peptide in DOPS/POPE membranes (See SI Fig. S1). We observed that current events from p3 peptides in DOPS/POPE appeared less step-wise than the current events observed for Aβ1–42. The effect of Tm of POPE on current events was also inspected by replacing the POPE in DOPS/POPE membrane with 1, 2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) (to form DOPS/DOPE membranes), which has a Tm of E16 °C. The ion conducting properties of Aβ1–42 in DOPS/DOPE (1:1, wt/wt) membranes show comparable step-like channel events to the ion conducting properties of Aβ1–42 in DOPS/POPE (1:1, wt/wt) membranes, suggesting that Tm of the lipid does not influence the formation of step-like current fluctuations of Aβ1–42 in membranes (See SI Fig. S2).

We hypothesize that the presence of Aβ oligomeric pores with higher conductance values in DOPS/POPE membranes compared to BTLE membranes may imply that Aβ oligomers could have an increased detrimental effects in patients with AD compared to healthy patients, as DOPS/POPE membranes contain higher percentages of PS lipids than BTLE membranes, potentially mimicking an important difference between the lipid compositions in diseased vs. healthy brains. The BTLE membranes used here contains only 10.6% PS (See SI Table 1), potentially representing a model for healthy brains. Thus, Aβ1–42 oligomers in BTLE membranes displayed more heterogeneous current events, lower average amplitudes of conductance for individual ion fluctuations, and reduced macroscopic ion flux compared to the conductance properties of this peptide in DOPS/POPE membranes. Previous studies showed that Aβ25–35 (a neurotoxic fragment of Aβ1–42) could form ion conducting pores in membranes derived from a total brain lipid extract. However, in a lipid membrane extracted from soybeans,30 cholesterol in the membrane was shown to inhibit formation of ion conducting Aβ25–35 pores30, and this finding with cholesterol was replicated with the inhibition of the formation of ion conducting Aβ1–42 oligomers in cellular membranes12,54. Anionic lipids have previously been suggested to promote the formation of ion conducting Aβ oligomeric pores29,30. The membrane disruption was shown to follow a two step mechanism with the initial formation of pores and nonspecific membrane fragmentation55,56. The present findings are consistent with these previous results, and suggest that lipids derived from brains provide a relatively unfavorable environment for the formation of Aβ pores, but still permit their formation under some conditions. This is unsurprising given the late development and slow progression of sporadic AD cases. However, we have shown that Aβ pore formation is possible in BTLE membranes providing a viable mechanism of early stage AD pathology. As lipid composition shifts to more anionic head groups during disease progression, this effect would only be intensified as demonstrated by the current events of Aβ oligomers in DOPS/POPE membranes. Although further investigation of Aβ oligomer structures in various lipid compositions using more detailed structural techniques, including NMR or EPR, would be helpful to characterize the effects of lipid headgroups on Aβ aggregation, the results reported here suggest that regions containing high fractions of anionic lipids (especially with PS head groups) could provide a favorable environment promoting the formation and insertion of Aβ pores in membranes.

Conclusions

We have investigated the structures, ion conducting properties, and self-assembly kinetics of the full-length Aβ1–42 peptide in lipid bilayers composed of brain total lipid extract (BTLE) and a model lipid mixture comprised of 1:1 (wt/wt) DOPS/POPE. Aβ1–42 peptides aggregate faster when BTLE or DOPS/POPE liposomes were present in solution. Aβ1–42 oligomers insert into both type of the membranes, forming ion-conducting pore structures that can be blocked by Zn2+ ions. However, the ion conducting properties of Aβ1–42 oligomers, as well as the distribution of subpopulations of membrane-associated oligomers differ as a function of lipid composition. The presence of heterogeneous bursts of ion fluctuations was observed for Aβ1–42 in BTLE membranes, which may reflect a heterogeneous population of sizes of pore-like structures found when this peptide was reconstituted in BTLE membranes. Conversely, Aβ1–42 in DOPS/POPE membranes reveal more step-wise current events, which could reflect the presence of a different heterogeneous population of oligomeric pores found in DOPS/POPE membranes by AFM. Additionally, to examine the effect of interactions of the N-terminal residues of Aβ1–42 with the membrane surface on ion conducting properties, we observed similar trends of burst-like current events in BTLE membranes and more step-wise current events in DOPS/POPE membranes for p3 peptides (which lacked the charged N-terminal residues present in full length Aβ). While additional molecular details for the formation of Aβ1–42 in BTLE membranes remains to be established, both fullE length Aβ peptides and its non-amyloidogenic p3 fragment form pores in BTLE membranes, suggesting that both Aβ peptides have the capability to alter neuronal cell homeostasis and play toxic roles in the brain. Hence, these oligomeric Aβ structures could serve as specific targets for the development of therapeutic strategies for the treatment AD.

Materials and Methods

Peptide preparation

All Aβ1–42 and Aβ17–42 had >90% purity as provided by the manufacturer (Anaspec, CA and rPeptide, GA). The initial powders were first dissolved in 1% ammonium hydroxide until the peptides were completely dissolved. They were subsequently sonicated for approximately 2 min. The desired amount of peptide was then aliquoted and lyophilized using a lyophilizer (FreeZone 2.5 Plus, Labconco, Kansas City, KS). The aliquots were stored at −80 °C for a maximum of 3 months until they were used. For each experiment, aliquoted peptides were taken from −80 °C and dissolved first in 10 mM NaOH and diluted with 10 mM HEPES (1 mM MgCl2, 150 mM KCl, pH = 7.4) buffer solutions to make final concentration of 100 μM. Percentage of NaOH in the solution never exceeds more than 10% and the pH was changed less than 1%. The peptide concentration was measured using the 280 nm UV absorbance (extinction coefficient: ε = 1490 M−1 cm−1).

Thioflavin T Assay

ThT assay was conducted as previously described23. Briefly, 10 μM ThT solution was prepared using 10 mM HEPES (1 mM MgCl2, 150 mM KCl, pH = 7.4) buffer in 96-well white-walled plates (Nunc). Using 10 mM NaOH, lyophilized peptide was dissolved to prevent aggregation. The peptide solution was then diluted with the HEPES buffer to its final peptide concentration of 10 [M in the plate well. For monitoring the effect of liposomes in Aβ self-assembly, 0.2 mg/ml liposomes of BTLE and DOS/POPE (1:1, wt/wt) were prepared by extrusion method using a 100 nm membrane filter and the either BTLE or DOPS/POPE liposomes were added instead of the buffer in the well. The NaOH content was maintained at <10% of the total volume. ThT fluorescence (450 nm excitation, 490 nm emission) was monitored every 5 min at 25 °C for the indicated times using a SPECTRAmax Gemini EM fluorescent plate reader (Molecular Devices, Sunnyvale, CA).

Proteoliposome preparation for AFM imaging

For preparation of supported lipid bilayers, 40 μL of brain total lipid extract (BTLE), DOPS/POPE (1:1, wt/wt), or DOPS/DOPE (1:1, wt/wt) lipids (Avanti Polar Lipids, AL) in chloroform was first added to a clean 2.5 mL vial. Chloroform was evaporated using a vacuum pump or a rotary evaporator to produce a lipid film. The dried lipid film was hydrated for an hour with 10 mM HEPES (1 mM MgCl2, 150 mM KCl, pH = 7.4) buffer to a final concentration of 0.1~0.5 mg/ml at 25 °C under occasional vortexing. Finally, the liposome solutions were sonicated for 5 min and stored in a 4 °C until used.

To achieve high insertions of Aβ1–42 or p3 peptides in BTLE or DOPS/POPE membranes, lipids were hydrated in HEPES buffer containing 0.5–1 mg/mL peptide concentrations. They were vortexed vigorously for 30 min at 5 minute intervals and subsequently sonicated for 5 min in an ice bath. The peptide to lipid mass ratios of 1:20 for Aβ1–42 and 1:7 for p3 were used. For AFM imaging, ~10 μl of the sample solution was deposited on freshly cleaved mica and incubated for ~1E3 min to form supported lipid bilayers by vesicle rupture on the mica surface. After incubation, samples were rinsed with the buffer to remove unruptured liposomes in the solution. Topographic images Aβ1–42 and p3 in BTLE or DOPS/POPE membranes were acquired using a Multimode AFM equipped with a Nanoscope V controller (Bruker, Santa Barbara, CA). Silicon nitride cantilevers with a nominal spring constant of 0.08 N/m (TR400PSA, Asylum research) were employed using regular tapping mode as well as peak-force tapping. The Nanoscope software was used for analyzing imaging data.

Formation of Planar Lipid Bilayers for BLM experiments

We formed planar lipid bilayers by the “painting method” over a 250 μm aperture in a Delrin cup (Warner Instruments, 1 ml volume).57 This aperture was first pretreated with ~2 μl of 20 mg/ml BTLE lipid solution in hexane. Following pretreatment, a solution of 10 mM HEPES, 150 mM KCl, 1 mM MgCl2, pH 7.0 (recording solution) was added to both chambers. Subsequently, 20 mg/ml solution of BTLE lipid in n-decane was added over the aperture using a fine tip paint brush until a bilayer was formed. During this process, the capacitance of the bilayer was monitored to check the thinning of the lipid and decane droplet. If the droplet did not thin spontaneously, we applied air-bubbles using a micron pipet under the pore to facilitate the thinning of the lipid-decane droplet. When the lipid bilayer was stable for more than 30 minutes within ±100 mV applied potential and the capacitance of the bilayer was above 130 pF, we added 11–22 μM of Aβ1–42 or p3 directly into the chamber. The chamber was stirred with a stirring bar by using Stir-2 stir plate (Warner Instruments) for 5 minutes to help Aβ peptides access the lipid bilayer easily.

BLM Measurements of Aβs

We performed channel activity recordings in “Voltage clamp mode” using Ag/AgCl electrodes (Warner Instruments) immersed in each chamber. Data acquisition and storage were carried out using custom made LabVIEW software in combination with a BC-535 patch clamp amplifier (Warner Instruments, set at a gain of 10 mV/pA and a filter cutoff frequency of 3 kHz). The data were acquired at a sampling frequency of 15 kHz using a data acquisition board (National Instruments) connected to the amplifier. We conducted filtering using a digital Gaussian low-pass filter (cutoff frequency of 50 Hz) by ClampFit 9.2 software (Axon Instruments). All experiments were conducted for 60–80 minutes after adding the corresponding peptide solution. For channel blockage experiments, a final concentration of 2 mM ZnCl2 solution was added to one side of the chamber. We analyzed the ion influx through Aβ1–42 and p3 peptides by integrating the current (over t = 5 min) in current vs. time traces to characterize the heterogeneous conductances of both the peptides. This area represents the total transported charge during the chosen time interval.

Total trasported charge, Q=t=0t=5minI(t)dt (3)

We used this equation to characterize Aβ1–42 and p3 pore-like structures.

A two way ANOVA test with the membrane types and peptide types as two independent variables and total transported charges as the dependent variable was carried out to account for the contributions of the membranes, peptides, or interaction of both.

Before introducing any Aβ peptides into the BLM cup, we monitored that the electrical current traces did not display leakage currents. The capacitance of the membrane was monitored occasionally to check the stability of the membrane. Aβ peptides were only introduced in the membrane when the capacitance was higher than 130 pF and stable at least for 30 min. We also confirmed the pore activities by changing the polarity from 100 mV to −100 mV and confirming that the measured ionic currents changed accordingly during the activity recording.

Supplementary Material

1

Acknowledgements

All simulations had been performed using the high-performance computational facilities of the Biowulf PC/Linux cluster at the National Institutes of Health, Bethesda, MD (http://biowulf.nih.gov). We would like to acknowledge Abhijith G Karkisaval for help with the statistical analysis.

Funding

This project was supported by the National Institute on Aging of National Institutes of Health (Grant AG028709). Y.H.K and J.Y. acknowledge support from the Air Force Office of Scientific Research (FA9550-12-1-0435) and from the National Institute on Aging of the National Institutes of Health under award number R01AG053577. The fund from Frontier Innovation Scholars Program in UCSD supported to J.L.

ASSOCIATED CONTENT

Supplementary information

The Supporting Information is available free of charge on the ACS Publications website at DOI: xxxx. Representative electrical recordings of p3 peptides in BTLE and DOPS/POPE (1:1, wt/wt) membranes, Aβ1–42 in a DOPS/DOPE (1:1, wt/wt) membrane, and composition of brain total lipid extract

The authors declare no competing financial interests.

References

  • (1). Masters CL, Simms G, Weinman NA, Multhaup G, McDonald BL, and Beyreuther K (1985) Amyloid plaque core protein in Alzheimer disease and Down syndrome. Proc Natl Acad Sci USA 82, 4245–4249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (2). Thinakaran G, and Koo EH (2008) Amyloid precursor protein trafficking, processing, and function. J. Biol. Chem 283, 29615–29619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (3). Miller Y, Ma B, and Nussinov R (2009) Polymorphism of Alzheimer’s Aβ17–42 (p3) Oligomers: The Importance of the Turn Location and Its Conformation. Biophys. J 97, 1168–1177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (4). Jang H, Arce FT, Ramachandran S, Capone R, Azimova R, Kagan BL, Nussinov R, and Lal R (2010) Truncated βEamyloid peptide channels provide an alternative mechanism for Alzheimer’s disease and Down syndrome. Proc. Natl. Acad. Sci. U.S.A 6538–6543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (5). Jang H, Teran Arce F, Ramachandran S, Capone R, Lal R, and Nussinov R (2010) Structural convergence among diverse, toxic beta-sheet ion channels. J Phys Chem B 114, 9445–9451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (6). Hardy J, and Selkoe DJ (2002) The amyloid hypothesis of Alzheimer’s disease: progress and problems on the road to therapeutics. Science 297, 353–356. [DOI] [PubMed] [Google Scholar]
  • (7). Lasagna-Reeves CA, Glabe CG, and Kayed R (2011) Amyloid-β annular protofibrils evade fibrillar fate in Alzheimer disease brain. J. Biol. Chem 286, 22122–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (8). Bhatia R, Lin H, and Lal R (2000) Fresh and globular amyloid beta protein (1–42) induces rapid cellular degeneration: evidence for AbetaP channel-mediated cellular toxicity. FASEB J 14, 1233–43. [DOI] [PubMed] [Google Scholar]
  • (9). Lin HAI, Bhatia R, and Lal R (2001) Amyloid β protein forms ion channels: Implications for Alzheimer’s disease pathophysiology. FASEB J 15, 2433–2444. [DOI] [PubMed] [Google Scholar]
  • (10). Quist A, Doudevski I, Lin H, Azimova R, Ng D, Frangione B, Kagan B, Ghiso J, and Lal R (2005) Amyloid ion channels: a common structural link for protein-misfolding disease. Proc. Natl. Acad. Sci. U. S. A 102, 10427–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (11). Bezprozvanny I, and Mattson MP (2008) Neuronal calcium mishandling and the pathogenesis of Alzheimer’s disease. Trends Neurosci 31, 454–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (12). Kawahara M, and Kuroda Y (2001) Intracellular Calcium Changes in Neuronal Cells Induced by Alzheimer’s ß-Amyloid Protein Are Blocked by Estradiol and Cholesterol. Cell. Mol. Neurobiol 21, 1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (13). Kagan BL, Hirakura Y, Azimov R, Azimova R, and Lin M-C. (2002) The channel hypothesis of Alzheimer’s disease: current status. Peptides 23, 1311–1315. [DOI] [PubMed] [Google Scholar]
  • (14). Arispe N, Pollard HB, and Rojas E (1993) Giant multilevel cation channels formed by Alzheimer disease amyloid beta-protein [A beta P-(1–40)] in bilayer membranes. Proc. Natl. Acad. Sci. U. S. A 90, 10573–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (15). Demuro A, Smith M, and Parker I (2011) Single-channel Ca(2+) imaging implicates Aβ1–42 amyloid pores in Alzheimer’s disease pathology. J. Cell Biol 195, 515–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (16). Wei W (2002) Abeta 17–42 in Alzheimer’s disease activates JNK and caspase-8 leading to neuronal apoptosis. Brain 125, 2036–2043. [DOI] [PubMed] [Google Scholar]
  • (17). Di Scala C, Troadec JED., Lelièvre C, Garmy N, Fantini J, and Chahinian H (2014) Mechanism of cholesterol-assisted oligomeric channel formation by a short Alzheimer β-amyloid peptide. J. Neurochem 128, 186–95. [DOI] [PubMed] [Google Scholar]
  • (18). Arce FT, Jang H, Ramachandran S, Landon PB, Nussinov R, and Lal R (2011) Polymorphism of amyloid β peptide in different environments: implications for membrane insertion and pore formation. Soft Matter 7, 5267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (19). Czajkowsky DM, Sheng S, and Shao Z (1998) Staphylococcal α-hemolysin can form hexamers in phospholipid bilayers1. J. Mol. Biol 276, 325–330. [DOI] [PubMed] [Google Scholar]
  • (20). Lashuel HA, Hartley D, Petre BM, Walz T, Lansbury PT, L. PT Jr, Turner J, King JC, Lachlan-cope TA, and Jones PD (2002) Neurodegenerative disease: Amyloid pores from pathogenic mutations. Nature 418, 291. [DOI] [PubMed] [Google Scholar]
  • (21). Jang H, Arce FT, Ramachandran S, Capone R, Lal R, and Nussinov R (2010) β-Barrel Topology of Alzheimer’s β-Amyloid Ion Channels. J. Mol. Biol 404, 917–934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (22). Connelly L, Jang H, Teran Arce F, Capone R, Kotler SA, Ramachandran S, Kagan BL, Nussinov R, Lal R, Arce FT, Jang H, Capone R, Kotler SA, Ramachandran S, Kagan BL, Nussinov R, and Lal R (2012) Atomic Force Microscopy and MD Simulations Reveal Pore-Like Structures of All-d-Enantiomer of Alzheimer’s β-Amyloid Peptide: Relevance to the Ion Channel Mechanism of AD Pathology. J. Phys. Chem. B 116, 1728–1735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (23). Lee J, Gillman AL, Jang H, Ramachandran S, Kagan BL, Nussinov R, and Teran Arce F (2014) Role of the Fast Kinetics of Pyroglutamate-Modified Amyloid-β Oligomers in Membrane Binding and Membrane Permeability. Biochemistry 53, 4704–4714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (24). Gillman AL, Jang H, Lee J, Ramachandran S, Kagan BL, Nussinov R, and Teran Arce F (2014) Activity and Architecture of Pyroglutamate-Modified Amyloid-β (AβpE3–42) Pores. J. Phys. Chem. B 118, 7335–7344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (25). Arispe N, Pollard HB, and Rojas E (1996) Zn2+ interaction with Alzheimer amyloid beta protein calcium channels. Proc. Natl. Acad. Sci 93, 1710–1715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (26). Hirakura Y, Lin M-C, and Kagan BL (1999) Alzheimer amyloid aβ1–42 channels: Effects of solvent, pH, and congo red. J. Neurosci. Res 57, 458–466.10440895 [Google Scholar]
  • (27). Di Paolo G, and Kim T-WW (2011) Linking lipids to Alzheimer’s disease: cholesterol and beyond. Nat. Rev. Neurosci 12, 284–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (28). Mendis LHS, Grey AC, Faull RLM, and Curtis MA (2016) Hippocampal lipid differences in Alzheimer’s disease: a human brain study using matrix-assisted laser desorption/ionization-imaging mass spectrometry. Brain Behav e00517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (29). Alarcón JM, Brito JA, Hermosilla T, Atwater I, Mears D, and Rojas E (2006) Ion channel formation by Alzheimer’s disease amyloid β-peptide (Aβ40) in unilamellar liposomes is determined by anionic phospholipids. Peptides 27, 95–104. [DOI] [PubMed] [Google Scholar]
  • (30). Lin MA, and Kagan BL (2002) Electrophysiologic properties of channels induced by Aβ25–35 in planar lipid bilayers. Peptides 23, 1215–1228. [DOI] [PubMed] [Google Scholar]
  • (31). Meleleo D, Galliani A, and Notarachille G (2013) AβP1–42 incorporation and channel formation in planar lipid membranes: the role of cholesterol and its oxidation products. J. Bioenerg. Biomembr 45, [DOI] [PubMed] [Google Scholar]
  • (32). Sani M-A, Gehman JD, and Separovic F (2011) Lipid matrix plays a role in Abeta fibril kinetics and morphology. FEBS Lett 585, 749–54. [DOI] [PubMed] [Google Scholar]
  • (33). LeVine H III (1999) [18] Quantification of β-sheet amyloid fibril structures with thioflavin T, in Amyloid, Prions, and Other Protein Aggregates (Enzymology, R. W. B. T.EM. in, Ed.), pp 274–284. Academic Press. [DOI] [PubMed] [Google Scholar]
  • (34). Biancalana M, and Koide S (2010) Molecular mechanism of ThioflavinET binding to amyloid fibrils. Biochim. Biophys. Acta 1804, 1405–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (35). Lomakin A, Chung DS, Benedek GB, Kirschner DA, and Teplow DB (1996) On the nucleation and growth of amyloid beta-protein fibrils: detection of nuclei and quantitation of rate constants. Proc. Natl. Acad. Sci. U. S. A 93, 1125–1129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (36). Nielsen L, Khurana R, Coats A, Frokjaer S, Brange J, Vyas S, Uversky VN, and Fink AL (2001) Effect of Environmental Factors on the Kinetics of Insulin Fibril Formation: Elucidation of the Molecular Mechanism. Biochemistry 40, 6036–6046. [DOI] [PubMed] [Google Scholar]
  • (37). Shimanouchi T, Onishi R, Kitaura N, Umakoshi H, and Kuboi R (2011) Copper-mediated growth of amyloid β fibrils in the presence of oxidized and negatively charged liposomes. J. Biosci. Bioeng 112, 611–615. [DOI] [PubMed] [Google Scholar]
  • (38). Conway KA, Lee S-JJ, Rochet JC, Ding TT, Williamson RE, and Lansbury PT (2000) Acceleration of oligomerization, not fibrillization, is a shared property of both α-synuclein mutations linked to early-onset Parkinson’s disease: Implications for pathogenesis and therapy. Proc. Natl. Acad. Sci 97, 571–576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (39). Parbhu A, Lin H, Thimm J, and Lal R (2002) Imaging real-time aggregation of amyloid beta protein (1–42) by atomic force microscopy. Peptides 23, 1265–1270. [DOI] [PubMed] [Google Scholar]
  • (40). Vivekanandan S, Brender JR, Lee SY, and Ramamoorthy A (2011) A partially folded structure of amyloid-beta(1–40) in an aqueous environment. Biochem. Biophys. Res. Commun 411, 312–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (41). Suzuki Y, Brender JR, Soper MT, Krishnamoorthy J, Zhou Y, Ruotolo BT, Kotov NA, Ramamoorthy A, and Marsh ENG (2013) Resolution of Oligomeric Species during the Aggregation of Aβ1–40 Using 19F NMR. Biochemistry 52, 1903–1912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (42). Bernstein SL, Dupuis NF, Lazo ND, Wyttenbach T, Condron MM, Bitan G, Teplow DB, Shea J-EE, Ruotolo BT, Robinson CV, and Bowers MT (2009) Amyloid-beta protein oligomerization and the importance of tetramers and dodecamers in the aetiology of Alzheimer’s disease. Nat. Chem 1, 326–331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (43). Eisenberg D, and Jucker M (2012) The Amyloid State of Proteins in Human Diseases. Cell 148, 1188–1203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (44). Connelly L, Jang H, Teran Arce F, Ramachandran S, Kagan BL, Nussinov R, Lal R, Arce FT, Ramachandran S, Kagan BL, Nussinov R, and Lal R (2012) Effects of Point Substitutions on the Structure of Toxic Alzheimer’s β-Amyloid Channels: Atomic Force Microscopy and Molecular Dynamics Simulations. Biochemistry 51, 3031–3038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (45). Jang H, Teran Arce F, Ramachandran S, Kagan BL, Lal R, and Nussinov R (2013) Familial Alzheimer’s Disease Osaka Mutant (c-22) β-Barrels Suggest an Explanation for the Different Aβ1–40/42 Preferred Conformational States Observed by Experiment. J. Phys. Chem. B 117, 11518–11529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (46). Jang H, Teran Arce F, Ramachandran S, Kagan BL, Lal R, and Nussinov R (2014) Disordered amyloidogenic peptides may insert into the membrane and assemble into common cyclic structural motifs. Chem. Soc. Rev [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (47). Capone R, Jang H, Kotler S. a., Kagan BL, Nussinov R, and Lal R (2012) Probing Structural Features of Alzheimer’s Amyloid-β Pores in Bilayers Using Site-Specific Amino Acid Substitutions. Biochemistry 51, 776–785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (48). Jang H, Arce FT, Capone R, Ramachandran S, Lal R, and Nussinov R (2009) Misfolded Amyloid Ion Channels Present Mobile β-Sheet Subunits in Contrast to Conventional Ion Channels. Biophys. J 97, 3029–3037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (49). Capone R, Jang H, Kotler SA, Connelly L, Teran Arce F, Ramachandran S, Kagan BL, Nussinov R, and Lal R (2012) All-d-Enantiomer of β-Amyloid Peptide Forms Ion Channels in Lipid Bilayers. J. Chem. Theory Comput 8, 1143–1152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (50). Arispe N, Rojas E, and Pollard HB (1993) Alzheimer disease amyloid β protein forms calcium channels in bilayer membranes: Blockade by tromethamine and aluminum. Proc. Natl. Acad. Sci. U.S.A 90, 567–571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (51). Wells K, Farooqui A, Liss L, and Horrocks L (1995) Neural membrane phospholipids in alzheimer disease. Neurochem. Res 20, 1329–1333. [DOI] [PubMed] [Google Scholar]
  • (52). Lee G, Pollard HB, and Arispe N (2002) Annexin 5 and apolipoprotein E2 protect against Alzheimer’s amyloid-β-peptide cytotoxicity by competitive inhibition at a common phosphatidylserine interaction site. Peptides 23, 1249–1263. [DOI] [PubMed] [Google Scholar]
  • (53). Arispe N, Diaz JC, and Simakova O (2007) Aβ ion channels. Prospects for treating Alzheimer’s disease with Aβ channel blockers. Biochim. Biophys. Acta - Biomembr 1768, 1952–1965. [DOI] [PubMed] [Google Scholar]
  • (54). ARISPE N (2002) Plasma membrane cholesterol controls the cytotoxicity of Alzheimer’s disease AbetaP (1–40) and (1–42) peptides. FASEB J 16, 1526–1536. [DOI] [PubMed] [Google Scholar]
  • (55). Sciacca M, Kotler S, Brender J, and Chen J (2012) Two-Step Mechanism of Membrane Disruption by A β through Membrane Fragmentation and Pore Formation. Biophys. J 103, 702–710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (56). Kotler SA, Walsh P, Brender JR, and Ramamoorthy A (2014) Differences between amyloid- β aggregation in solution and on the membrane: insights into elucidation of the mechanistic details of Alzheimer’s disease. Chem. Soc. Rev [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (57). Capone R, Blake S, Rincon Restrepo M, Yang J, and Mayer M (2007) Designing Nanosensors Based on Charged Derivatives of Gramicidin A. J. Am. Chem. Soc 129, 9737–9745. [DOI] [PubMed] [Google Scholar]

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