Naoya Sakaguchi1, Samal Kaumbekova2, Ryodai Itano1, Mehdi Amouei Torkmahalleh2, Dhawal Shah2, Masakazu Umezawa1. 1. Department of Materials Science and Technology, Faculty of Advanced Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika, Tokyo 125-8585, Japan. 2. Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr 53, Nur-Sultan 010000, Kazakhstan.
Abstract
Fluoride nanoparticles (NPs) are materials utilized in the biomedical field for applications including imaging of the brain. Their interactions with biological systems and molecules are being investigated, but the mechanism underlying these interactions remains unclear. We focused on possible changes in the secondary structure and aggregation state of proteins on the surface of NPs and investigated the principle underlying the changes using the amyloid β peptide (Aβ16-20) based on infrared spectrometry. CeF3 NPs (diameter 80 nm) were synthesized via thermal decomposition. Infrared spectrometry showed that the presence of CeF3 NPs promotes the formation of the β-sheet structure of Aβ16-20. This phenomenon was attributed to the hydrophobic interaction between NPs and Aβ peptides in aqueous environments, which causes the Aβ peptides to approach each other on the NP surface and form ordered hydrogen bonds. Because of the coexisting salts on the secondary structure and assembly of Aβ peptides, the formation of the β-sheet structure of Aβ peptides on the NP surface was suppressed in the presence of NH4+ and NO3- ions, suggesting the possibility that Aβ peptides were adsorbed and bound to the NP surface. The formation of the β-sheet structure of Aβ peptides was promoted in the presence of NH4+, whereas it was suppressed in the presence of NO3- because of the electrostatic interaction between the lysine residue of the Aβ peptide and the ions. Our findings will contribute to comparative studies on the effect of different NPs with different physicochemical properties on the molecular state of proteins.
Fluoride nanoparticles (NPs) are materials utilized in the biomedical field for applications including imaging of the brain. Their interactions with biological systems and molecules are being investigated, but the mechanism underlying these interactions remains unclear. We focused on possible changes in the secondary structure and aggregation state of proteins on the surface of NPs and investigated the principle underlying the changes using the amyloid β peptide (Aβ16-20) based on infrared spectrometry. CeF3 NPs (diameter 80 nm) were synthesized via thermal decomposition. Infrared spectrometry showed that the presence of CeF3 NPs promotes the formation of the β-sheet structure of Aβ16-20. This phenomenon was attributed to the hydrophobic interaction between NPs and Aβ peptides in aqueous environments, which causes the Aβ peptides to approach each other on the NP surface and form ordered hydrogen bonds. Because of the coexisting salts on the secondary structure and assembly of Aβ peptides, the formation of the β-sheet structure of Aβ peptides on the NP surface was suppressed in the presence of NH4+ and NO3- ions, suggesting the possibility that Aβ peptides were adsorbed and bound to the NP surface. The formation of the β-sheet structure of Aβ peptides was promoted in the presence of NH4+, whereas it was suppressed in the presence of NO3- because of the electrostatic interaction between the lysine residue of the Aβ peptide and the ions. Our findings will contribute to comparative studies on the effect of different NPs with different physicochemical properties on the molecular state of proteins.
In the field of material sciences, the
self-assembly of molecules
is a major area of interest for researchers to develop soft matter.[1] Furthermore, in biology, the secondary structure
and assembly state of a protein are important for regulating the function
and activity of the protein. The formation of fibrillar aggregates
of peptides and proteins is associated with various diseases including
neurogenerative disorders.[2] The dysregulation
of the structure and state of proteins can lead to diseases in biological
organs.[3,4] For example, fibril formation via the self-assembly
of denatured proteins causes amyloid diseases, such as Alzheimer’s
disease,[5] which is the most common neurodegenerative
disease and is associated with cognitive and physical decline.[6] Pathologically, in patients with Alzheimer’s
diseases, senile (neuritic) plaques of the amyloid beta (Aβ)
protein are observed in the brain tissue.[7]Amino acid residues in proteins interact with each other through
hydrogen bonds, disulfide bonds, electrostatic interactions, and hydrophobic
interactions; these interactions affect protein conformation. As the
distance between peptides reduces due to protein aggregation, their
secondary structure can change due to an increase in interactions
among peptides, for example, an increase in the β-sheet structure
via enhanced hydrogen bonds. Although Aβ generally aggregates
more at higher concentrations, even at low concentrations, it forms
a β-sheet structure that can promote self-assembly via aromatic
interactions between phenylalanine residues.[8,9] Especially,
the hydrophobic domain of Aβ—the region around residues
17–20, LVFF—is important for β-sheet formation.[10]In general, changes in the secondary structure
and protein aggregation
can be enhanced at liquid–liquid and liquid–air interfaces,
as observed through denaturation by surfactants. In addition to these
interfaces, liquid–solid interfaces are also likely to be the
sites for protein denaturation because the domains with high affinity
for the solid are exposed to the molecular surface. Molecular dynamics
(MD) simulations have suggested that the structural arrangement of
Aβ attached to the surface of carbon nanotubes—an inorganic
nanomaterial—changes with the radius of the nanotubes.[11] The rate of peptide aggregation on the solid–liquid
interface is determined by the affinity (binding force) between the
peptide and the solid material and the shape (roughness) of the solid
surface.[12] While a high affinity between
peptides and solid surfaces enhances their adsorption and inhibits
the self-assembly (aggregation) of peptides, solid materials with
middle affinities and a rough surface (with a nanoscale morphology)
accelerate the aggregation of peptides. In contrast, in a study in
which all-atom MD simulations of the conformation of Aβ16–22 peptides were performed, hydrophobic interactions
were found to prevent the formation of β-sheet structures in
the presence of gold nanoparticles (NPs).[13] The charge on the surface of NPs is also likely to be important
for Aβ fibrillation. Negatively charged NPs inhibit the formation
of Aβ fibrillation, whereas positively charged NPs have no effect
on fibril formation.[14] The aggregation
dynamics of Aβ peptides (Aβ16–21) on
fullerene NP models was also investigated using MD simulation along
with the effect of the coexistence of ionic salts.[15] However, there has still been no experimental evidence
of how Aβ peptides behave on NP surfaces in physiological environments
containing salts.In the present study, fluoride ceramic NPs,
which are expected
to be applied to the biomedical field, were used as a target material.
Fluoride has a moderate phonon energy of 350 cm–1 and has been widely utilized in the biomedical field for applications
such as brain imaging[16−18] as a fluorescent contrast agent containing rare-earth
ions.[19−22] This is because it has both high chemical durability, as a lower
phonon energy reduces the chemical stability similarly to chlorides,
and high luminescence efficiency when doped with rare earths because
higher phonon energy causes quenching via enhanced thermal relaxation.[23] Fluoride nanomaterials labeled within the long-wavelength
(>1000 nm) near-infrared (NIR) region, called the second and third
NIR (NIR-II/III) biological windows,[24] have
been developed for NIR fluorescence computed tomography,[25] photodynamic therapy,[26] and fluorescence nanothermometers[27,28] for in vivo
investigations of deep tissues such as tissues in the peritoneal cavity.[29] Rare-earth-doped fluoride crystals have also
been developed for application in lifetime-based NIR fluorescence
thermometers.[30] Fluoride crystals containing
Gd3+ (e.g., NaGdF4) and luminescent rare earths
have been developed for bimodal imaging in fluorescence and magnetic
resonance modalities.[31−36] CeF3 NPs were used in this study as a fluoride ceramic
that can show a surface reactivity similar to that of the fluorides,
as mentioned above. The aim of this study was to investigate the effect
of fluoride ceramic NPs, which are expected to have further biomedical
applications, on the conformation and assembly of Aβ molecules
using an in vitro experimental system and MD simulation.
Results and Discussion
Fluoride NPs synthesized in this study were characterized using
X-ray diffraction (XRD) and dynamic light scattering (DLS). As shown
in Figure a, the XRD
patterns showed that the NPs were majorly CeF3 with small
amounts of NaCeF4. Data from DLS showed that the CeF3 NPs showed a major peak at a diameter of 80 nm with a low
polydispersity index (0.116), although it contained a minor fraction
peak at 20 nm. We considered the representative CeF3 particle
size to be 80 nm of the peak in the size distribution in our following
investigations.
Figure 1
Characterization of fluoride NPs used in this study. (a)
XRD pattern
of the samples and references of CeF3 (JCPDS no. 08-0045)
and NaCeF4 (JCPSD no. 75-1294). (b) DLS spectra showing
the hydrodynamic diameter of the fluoride NPs dispersed in cyclohexane.
Characterization of fluoride NPs used in this study. (a)
XRD pattern
of the samples and references of CeF3 (JCPDS no. 08-0045)
and NaCeF4 (JCPSD no. 75-1294). (b) DLS spectra showing
the hydrodynamic diameter of the fluoride NPs dispersed in cyclohexane.In this study, fragment peptides with small molecular
weights,
Aβ16–20, which allow MD simulations to be
performed easily, were used to investigate the secondary conformational
changes and aggregation of Aβ using both Fourier transform infrared
(FT-IR) spectroscopy and the MD simulations. CeF3 NPs were
dispersed in an aqueous solution to interact with Aβ16–20 (KLVFF) in the aqueous solution. FT-IR spectroscopy was used for
analyzing the secondary structure of proteins. Especially, the amide
I vibration peak (appearing around 1650 cm–1 and
mainly attributed to C=O stretching) was focused because it
is hardly affected by the nature of the side chains but depends on
the secondary structure of the backbone.[37] Thus, it is commonly used for the secondary structure analysis[38] that can also be applied to in situ analyses
under microscopy.[39] Not only the secondary
structure but also the aggregation of the Aβ peptide in solvents
can be analyzed using FT-IR spectroscopy.[40] Hydrochloric acid (1 mmol/L) was used to maintain the dispersibility
of the CeF3 NPs. However, the water molecule showed peaks
not only at 3300 cm–1 but also at 1650 cm–1 in the IR region; these peaks interfere with those of the amide
I band at 1650 cm–1,9 which is the target
of analysis in this study. Therefore, deuterium chloride and deuterium
oxide were used, instead of hydrochloric acid and water, as the dispersion
media for CeF3 and solution of Aβ16–20. Deuterium chloride did not affect the FT-IR spectra of Aβ16–20 solution at this concentration (final 0.25 mmol/L)
(data not shown). FT-IR spectra of the samples in which Aβ16–20 was interacted with different concentrations of
CeF3 NPs were analyzed. As shown in Figure a, Aβ16–20 showed
two major peaks at 1674 and 1640 cm–1, which correspond
to aggregates and monomers, respectively.[9] Deconvolution analysis using Gaussian fitting showed that the FT-IR
absorption spectra of Aβ16–20 also included,
in addition to the major peaks, a minor peak at 1618 cm–1 corresponding to β-sheet formation of Aβ16–20[9,38] (Figure b). The β-sheet formation of Aβ16–20 (6 mg/mL) increased in the presence of 3 mg/mL CeF3 NPs,
and this increase was not observed in the presence of 6 mg/mL CeF3 NPs as the ratios of the β-sheet peak in the total
amide I absorption were 6.8, 9.3, 6.9, and 6.3% in Aβ16–20 that interacted with 0, 3, 6, and 9 mg/mL of CeF3 NPs,
respectively (Figure b–e and Table ). This may be due to the difference in the number of Aβ molecules
per surface area of the NPs, which is the site of the NP–protein
interaction in the system. Because the shape of CeF3 NPs
(density: 6.16 g/cm3) is approximated to be a sphere with
a diameter of 80 nm (2.7 × 105 nm3/particle),
the mass and surface area are 1.7 × 10–15 g
and 2.0 × 104 nm,[2] respectively,
leading to a specific surface area per mass of 1.2 × 1019 nm2/g. The surface area of the CeF3 particles
in a dispersion of 3 mg/mL was 3.7 × 1016 nm2/mL, while the total particle surface area in the dispersion was
proportional to the particle concentration. Although the ratio of
Aβ molecules that were attracted to the NP surface, that is,
their local enrichment rate on the surface, in the dispersion was
unknown, our results suggest that a certain enrichment of Aβ
molecules promotes intermolecular bonding, thereby promoting β-sheet
formation.
Figure 2
Amide I band in the FT-IR spectra of Aβ16–20 interacted with CeF3 NPs. (a) FT-IR spectra of Aβ16–20 (6 mg/mL) that interacted with different concentrations
of CeF3 NPs (3, 6, and 9 mg/mL). (b–e) Deconvolution
results via Gaussian fitting for the amide I band in FT-IR spectra
of Aβ16–20 (6 mg/mL) with CeF3 NP
concentrations of (b) 0, (c) 3, (d) 6, and (e) 9 mg/mL.
Table 1
Ratio of Each Component in the Amide
I Band of the FT-IR Spectra of Aβ16–20 (6
mg/mL) That Interacted with Different Concentrations of CeF3 NPsa
Aβ
Aβ + NPs 3 mg/mL
Aβ + NPs 6 mg/mL
Aβ + NPs 9 mg/mL
monomer
0.20
0.20
0.20
0.20
aggregate
0.74
0.70
0.74
0.73
β sheet
0.068
0.093
0.069
0.063
The ratios were obtained via deconvolution
of the amide I band observed in each sample.
Amide I band in the FT-IR spectra of Aβ16–20 interacted with CeF3 NPs. (a) FT-IR spectra of Aβ16–20 (6 mg/mL) that interacted with different concentrations
of CeF3 NPs (3, 6, and 9 mg/mL). (b–e) Deconvolution
results via Gaussian fitting for the amide I band in FT-IR spectra
of Aβ16–20 (6 mg/mL) with CeF3 NP
concentrations of (b) 0, (c) 3, (d) 6, and (e) 9 mg/mL.The ratios were obtained via deconvolution
of the amide I band observed in each sample.The effect of coexisting ions on the behavior of the
Aβ16–20 peptide on the surface of CeF3 NPs
was studied using Aβ16–20 in D2O with dissolved NaCl, NH4Cl, and NaNO3 (0.15
M). The effects of these ions at the same concentration were investigated
in this experiment to compare the principle of action of each ion.
Even without CeF3 NPs, NH4+ promoted
β-sheet formation of Aβ16–20, whereas
NO3– enhanced the monomer retention of
Aβ16–20 (Table ). Na+ and Cl– did not
affect the amide I band of Aβ16–20 solution
in D2O (Table ). β-Sheet formation of Aβ16–20 (6 mg/mL) was increased (14%) by CeF3 NPs (3 mg/mL) in
the presence of NaCl as well as in the absence of salts, whereas no
elevation of β-sheet formation by NPs was observed in the presence
of NH4+ and NO3– (Figure ). The results
suggest that NH4+ and NO3– suppressed the β-sheet formation of Aβ promoted on CeF3. MD simulations were further performed on four monomers of
Aβ16–20 in the presence of these salts. The
findings showed that the NO3– was strongly
bound to the peptide as compared to chloride in the absence of NPs.
The average distance between the peptide and NO3– was 0.67 nm, whereas the distance with Cl– was
0.99 nm (Table ).
Elevated peaks were observed on the radial distribution function (rdf)
plots between peptide residues and NO3– and Na+ of NaNO3 with maximum peak values
of ∼9.5 at a 0.42 nm distance, as shown in Figure a, and ∼0.88 at a 0.97
nm distance, as shown in Figure b). In contrast, comparatively low peak values were
observed between peptides and ions of NaCl and NH4Cl (with
maximum peak values of ∼0.96 at a 0.95 nm distance, as shown
in Figure a, and ∼0.38
at a 1.0 nm distance, as shown in Figure b), indicating their weak interactions. Among
the different residues of Aβ16–20 (KLVFF),
NO3– strongly interacted with the lysine
(K-16) residue, with the average distance between lysine and NO3– being 0.4 nm (Table ). The possible reasons for lysine and NO3– interactions are as follows: 1) the strong
electrostatic interactions between positively charged lysine and anions
and 2) the formation of hydrogen bonds between lysine’s sidechain
and NO3–.[41] Consequently, these strong interactions suppressed the formation
of β-sheets in the secondary structures of Aβ16–20 peptides in the NaNO3 environment. Representative snapshots
of the systems under study are shown in Figure . In addition to NaNO3, as shown
in Figure b and Table , the cation of NH4Cl interacted with the phenylalanine (F) residues of Aβ16–20 via cation−π interactions, which
might have enhanced the β-sheet formation.[42]
Table 2
Ratio of Each Component in the Amide
I Band of the FT-IR Spectra of Aβ16–20 (6
mg/mL) without and with Salts (0.15 M)
Aβ
Aβ + NaCl
Aβ + NH4Cl
Aβ + NaNO3
monomer
0.21
0.21
0.19
0.23
aggregate
0.72
0.73
0.74
0.71
β sheet
0.067
0.062
0.075
0.057
Figure 3
Increase in each separated peak (fold-change) in the amide I band
of Aβ16–20 dissolved with salts due to CeF3 NPs. The fold changes of the peaks of the (a) monomer (1674
cm–1), (b) aggregate (1640 cm–1), and (c) β-sheet (1618 cm–1) of Aβ16–20 (6 mg/mL) dissolved in D2O containing
each salt (0.15 M) due to the coexistence of CeF3 NPs (1
and 3 mg/mL) are shown.
Table 3
Average Distances
(in nm) between
the Centers of Mass of the Salt Ions and Aβ16–20 Peptide Residues at the End of the Simulation
NaCl
NH4Cl
NaNO3
peptide residue
Na+
Cl–
NH4+
Cl–
Na+
NO3–
K-16
1.21 ± 0.30
0.77 ± 0.20
1.25 ± 0.32
0.76 ± 0.23
0.95 ± 0.28
0.40 ± 0.03
L-17
1.13 ± 0.29
0.93 ± 0.21
1.30 ± 0.34
1.01 ± 0.24
1.06 ± 0.22
0.67 ± 0.08
V-18
1.30 ± 0.30
1.05 ± 0.23
1.31 ± 0.33
1.11 ± 0.22
1.09 ± 0.23
0.58 ± 0.04
F-19
1.31 ± 0.30
1.02 ± 0.23
1.20 ± 0.32
1.16 ± 0.26
1.08 ± 0.26
0.88 ± 0.14
F-20
1.14 ± 0.29
0.96 ± 0.22
1.11 ± 0.35
1.06 ± 0.30
0.97 ± 0.23
0.82 ± 0.17
average
1.22 ± 0.30
0.95 ± 0.24
1.23 ± 0.34
1.02 ± 0.29
1.03 ± 0.20
0.67 ± 0.20
Figure 4
rdf plots of the interactions
between Aβ16–20 peptides and the (a) anions
and (b) cations. The results were averaged
among four peptides present in the systems at the end of the MD simulations,
when the systems were stabilized (last 10 ns of the MD run).
Figure 5
Representative snapshots of the peptide aggregates and
ions within
0.1 nm of peptides in the systems under study: (a) no salt, (b) 0.15
M NaCl, (c) 0.15 M NH4Cl, and (d) 0.15 M NaNO3. Coloring methods in VMD: 1. Secondary structure of the peptide:
beta sheet = yellow, beta bridge = tan, bend = cyan, turn = cyan,
and coil = white. 2. Ions: Na+ = green, NH4+ = blue and white, Cl– = purple, and NO3– = blue and red.
Increase in each separated peak (fold-change) in the amide I band
of Aβ16–20 dissolved with salts due to CeF3 NPs. The fold changes of the peaks of the (a) monomer (1674
cm–1), (b) aggregate (1640 cm–1), and (c) β-sheet (1618 cm–1) of Aβ16–20 (6 mg/mL) dissolved in D2O containing
each salt (0.15 M) due to the coexistence of CeF3 NPs (1
and 3 mg/mL) are shown.rdf plots of the interactions
between Aβ16–20 peptides and the (a) anions
and (b) cations. The results were averaged
among four peptides present in the systems at the end of the MD simulations,
when the systems were stabilized (last 10 ns of the MD run).Representative snapshots of the peptide aggregates and
ions within
0.1 nm of peptides in the systems under study: (a) no salt, (b) 0.15
M NaCl, (c) 0.15 M NH4Cl, and (d) 0.15 M NaNO3. Coloring methods in VMD: 1. Secondary structure of the peptide:
beta sheet = yellow, beta bridge = tan, bend = cyan, turn = cyan,
and coil = white. 2. Ions: Na+ = green, NH4+ = blue and white, Cl– = purple, and NO3– = blue and red.The solvent accessible surface areas (SASAs) of the peptides were
further studied to compare the aggregation kinetics under different
environments (Figure ). The total SASA (SASA0) of the four peptides in the
beginning of the simulation was 39 nm2, which during the
100 ns of the simulations, decreased to ∼22 nm2 (SASA100), indicating peptide aggregation (Figure a). The initial aggregation kinetics was
quantified by estimating the time when the total SASA of peptides
reached 34 nm2 (SASA34) during the first 30
ns of the simulations (Figure b). According to SASA plots (Figure b), enhanced aggregation kinetics was observed
in the presence of 0.15 M NH4Cl (SASA34 was
reached in 8 ns), which was related to the enhanced formation of beta
sheets, observed from IR spectra (as shown previously in Table ). The slowest aggregation
kinetics was observed in the system with 0.15 M NaNO3 (SASA34 was reached in 19 ns), which corresponded to the retention
of monomers in this environment, consistent with the results of IR
absorption (shown previously on Table ).
Figure 6
Time evolution of the total SASA of the Aβ16–20 peptides in the systems under study: (a) within 100 ns of the MD
run and (b) within 30 ns of the MD run. The average values of each
200 ps of the simulation run were plotted, which corresponded to 50
frames of the run.
Time evolution of the total SASA of the Aβ16–20 peptides in the systems under study: (a) within 100 ns of the MD
run and (b) within 30 ns of the MD run. The average values of each
200 ps of the simulation run were plotted, which corresponded to 50
frames of the run.
Conclusions
We
evaluated the changes in the secondary structure and assembly
of the Aβ peptide (Aβ16–20) due to CeF3 NPs using liquid film FT-IR measurements and MD simulations.
CeF3 NPs were found to locally concentrate Aβ16–20 on their surfaces, possibly due to the hydrophobic
interaction between NPs and Aβ16–20 in aqueous
environments, and promote the β-sheet formation of Aβ16–20. The concentrated Aβ16–20 on the NP surface formed ordered hydrogen bonds to form a β-sheet.
This increase in the β-sheet formation of Aβ16–20 on the NP surfaces was suppressed in the presence of NH4+ and NO3– ions. Hydrogen
bonding between Aβ peptides were dominant when concentrated
on CeF3 NP surfaces in the absence of NH4+ or NO3–. In the presence of
NH4+ or NO3–, the
hydrogen bonding was suppressed due to dominant bonding between the
NPs and Aβ peptides. The formation of the β-sheet structure
of Aβ peptides was promoted in the presence of NH4+ ions, whereas it was suppressed in the presence of NO3– ions regardless of the presence/absence
of CeF3 NPs, which can be explained by the electrostatic
interaction between the lysine residue (amino group) of Aβ peptides
and the ions. Although this study was performed using the Aβ16–20 peptide, future research will be conducted using
full-length Aβ (Aβ1–42) to reveal more
realistic in vivo phenomena. The analysis technique using FT-IR spectroscopy
and MD will contribute to comparative studies of the effect of NPs
on the molecular state of proteins under various physicochemical conditions.
Materials and Methods
Materials
Cerium
(III) chloride heptahydrate (CeCl3·7H2O),
oleic acid, deuterium oxide (D2O), and amyloid beta (16–20)
peptide [Aβ16–20; Ac-Lys-(Me)Leu-Val-(Me)Phe-Phe-NH2] were purchased from Sigma-Aldrich Co. (St Louis, MO, USA),
and
1-octadecene was purchased from Tokyo Chemical Industry Co., Ltd.
(Tokyo, Japan). The N-methylated form of Aβ16–20 is a commercially available good model for the investigation with
increased stability; however, possible changes in the peptide conformation
and aggregation state associated with a possible increase in hydrophobicity
should be noted. Sodium hydroxide, ammonium chloride (NH4Cl), sodium nitrate (NaNO3), sodium chloride (NaCl), methanol,
ethanol, hexane, cyclohexane, and 20% deuterium chloride solution
(DCl) (5.34 mol/L) in D2O were purchased from Fujifilm
Wako Pure Chemical Co. (Osaka, Japan). Ammonium fluoride was purchased
from Kanto Chemical Co., Inc. (Tokyo, Japan). All reagents were used
without further purification.
Synthesis and Characterization
of CeF3 NPs
Fluoride NPs were synthesized via
thermal decomposition.[43] CeCl3·7H2O (1 mmol)
was dissolved in distilled water (3 mL), mixed with oleic acid (12
mL) and 1-octadecene (30 mL), and stirred at 100 °C for 20 min
and at 160 °C for 40 min in a nitrogen atmosphere, giving cerium
oleate. After cooling to 50 °C, sodium hydroxide (2.5 mmol) and
ammonium fluoride (4 mmol) dissolved in methanol were slowly added
to the cerium oleate sample, and the sample was heated at 100 °C
for 20 min and further at 310 °C for 50 min in a nitrogen atmosphere.
The NPs collected via precipitation were purified using centrifugal
washing (20 000 g, 10 min, ×3) with a hexane–ethanol
mixed solvent and dispersed in cyclohexane. The NPs were characterized
using XRD (Rint-Ultima 3, Rigaku Co., Tokyo, Japan) and DLS (ELSZ-2000ZS,
Otsuka Electronics Co., Ltd., Osaka, Japan).
FT-IR Spectroscopy for
Samples in Solution
Fluoride
NPs (27 mg/mL) in cyclohexane (750 μL) were slowly added dropwise
into 1 mmol/L DCl solution in D2O (750 μL) and stirred
for 16 h to remove cyclohexane via evaporation and to exchange the
dispersion media with DCl/D2O. Aβ16–20 was dissolved in D2O at 8 mg/mL. The Aβ16–20 solution (8 mg/mL) in D2O with and without NH4Cl, NaNO3, or NaCl (0.2 M) was mixed with different concentrations
(3–27 mg/mL) of the NP dispersion in 1 mmol/L DCl solution
at a 3:1 volume ratio (thus, the final concentration of Aβ16–20 in the mixed samples was 6 mg/mL). The final concentrations
of the NPs were set at 1–9 mg/mL because the concentration
order of milligrams per milliliter is the dose commonly used for imaging
contrast agents for visualizing blood flow.[27,36,44] FT-IR spectra including amide bands were
recorded using an FT/IR-6200 spectrometer (Shimadzu Co., Kyoto, Japan)
for the mixed samples sandwiched between two CaF2 plate
windows (spacer 0.025 mm). The analysis was performed for each sample
within 30 min after mixing Aβ16–20 with the
NP dispersion.
MD Simulations
MD simulations were
performed using
GROMACS 2019.6 software with a GROMOS 54A7 force field. Four Aβ16–20 peptide monomers with a concentration of 6 mg/mL
were inserted in a 9 × 9 × 9 nm3 box. The simulations
were performed in the absence of salts and in the presence of 0.15
M NaCl, NH4Cl, and NaNO3 solutions. The MD run
was performed for 100 ns for each system, following the methodology
described in a previous study.[15]
Analysis
of the MD Simulations
Formation of peptide
aggregates and kinetics of aggregation were studied via SASA analysis.
The interactions between ions and peptide residues were studied in
the last 10 ns of the simulations, when the peptide aggregates were
produced. The rdf and intermolecular distance analyses were performed
using the centers of mass of the peptides, averaged among four peptides.
Visual molecular dynamics (VMD) software was used for the visualization
of the systems under the study.
Authors: Erving C Ximendes; Alexsandro F Pereira; Uéslen Rocha; Wagner F Silva; Daniel Jaque; Carlos Jacinto Journal: Nanoscale Date: 2019-05-09 Impact factor: 7.790