Anisotropic colloidal hybrid nanoparticles exhibit superior optical and physical properties compared to their counterparts with regular architectures. We herein developed a controlled, stepwise strategy to build novel, anisotropic, branched, gold nanoarchitectures (Au-tripods) with predetermined composition and morphology for bioimaging. The resultant Au-tripods with size less than 20 nm showed great promise as contrast agents for in vivo photoacoustic imaging (PAI). We further identified Au-tripods with two possible configurations as high-absorbance nanomaterials from various gold multipods using a numerical simulation analysis. The PAI signals were linearly correlated with their concentrations after subcutaneous injection. The in vivo biodistribution of Au-tripods favorable for molecular imaging was confirmed using small animal positron emission tomography (PET). Intravenous administration of cyclic Arg-Gly-Asp-d-Phe-Cys (RGDfC) peptide conjugated Au-tripods (RGD-Au-tripods) to U87MG tumor-bearing mice showed PAI contrasts in tumors almost 3-fold higher than for the blocking group. PAI results correlated well with the corresponding PET images. Quantitative biodistribution data revealed that 7.9% ID/g of RGD-Au-tripods had accumulated in the U87MG tumor after 24 h post-injection. A pilot mouse toxicology study confirmed that no evidence of significant acute or systemic toxicity was observed in histopathological examination. Our study suggests that Au-tripods can be reliably synthesized through stringently controlled chemical synthesis and could serve as a new generation of platform with high selectivity and sensitivity for multimodality molecular imaging.
Anisotropic colloidal hybrid nanoparticles exhibit superior optical and physical properties compared to their counterparts with regular architectures. We herein developed a controlled, stepwise strategy to build novel, anisotropic, branched, gold nanoarchitectures (Au-tripods) with predetermined composition and morphology for bioimaging. The resultant Au-tripods with size less than 20 nm showed great promise as contrast agents for in vivo photoacoustic imaging (PAI). We further identified Au-tripods with two possible configurations as high-absorbance nanomaterials from various gold multipods using a numerical simulation analysis. The PAI signals were linearly correlated with their concentrations after subcutaneous injection. The in vivo biodistribution of Au-tripods favorable for molecular imaging was confirmed using small animal positron emission tomography (PET). Intravenous administration of cyclic Arg-Gly-Asp-d-Phe-Cys (RGDfC) peptide conjugated Au-tripods (RGD-Au-tripods) to U87MG tumor-bearing mice showed PAI contrasts in tumors almost 3-fold higher than for the blocking group. PAI results correlated well with the corresponding PET images. Quantitative biodistribution data revealed that 7.9% ID/g of RGD-Au-tripods had accumulated in the U87MG tumor after 24 h post-injection. A pilot mouse toxicology study confirmed that no evidence of significant acute or systemic toxicity was observed in histopathological examination. Our study suggests that Au-tripods can be reliably synthesized through stringently controlled chemical synthesis and could serve as a new generation of platform with high selectivity and sensitivity for multimodality molecular imaging.
Current biomedical
nanotechnology has been aimed at effectively
imaging and characterizing abnormal biological processes at the cellular
or even molecular level in living subjects.[1−5] Successful progresses in the fundamental molecular
imaging research including instrumentations and image construction/registration
techniques greatly motivate the innovations of imaging probes. As
a relatively new molecular imaging technique, photoacoustic imaging
(PAI) has recently attracted significant research interests.[6] PAI takes advantage of individual strengths of
both optical and acoustic imaging while largely overcoming the weaknesses
associated with each modality, providing functional and molecular
information of abnormalities with deep tissue penetration, high sensitivity,
and excellent spatial resolution.[7] In addition
to several endogenous contrasts (such as melanin and hemoglobin),[8] various light-absorbing nanoparticles (including
Au-based nanostructures, carbon nanotubes, and nanodroplets) have
been developed for PAI contrast enhancement.[9−25] Although there are some nanoparticle-based exogenous agents particularly
promising for PAI,[20,22] their potential toxicity is still
under investigation, and the improvement of their in vivo behavior remains a challenge since most attempts to enhance the
contrast effect compromise their pharmacokinetic profile.As
one class of strong optical-absorption nanomaterials, colloidal
metallic nanostructures (NPs) have recently attracted significant
attention from diverse disciplines for many biomedical applications.[26−28] Many synthetic methods have been developed for the construction
of a variety of plasmonic nanostructures with controllable size and
uniform shape (for instance, triangles, prisms, rods, cubes, shells,
stars, and cages),[9−25,29] largely because the effect of
induced-shape anisotropy of these nanostructures results in the splitting
of the underlying surface plasmon enhancement (SPR) into several shape-dependent
modes, which could be accordingly tuned within the near-infrared window
(NIR, 650–950 nm).[30−36] As representative anisotropic nanogeometries, Au-nanorods and -nanocages
have shown great promise as PAI contrasts; however, they generally
have relatively large particle sizes (∼50 nm), which could
result in unfavorable in vivo behavior and severely
limit their application for targeted cancer imaging.[7,11,12,21,37] By making a compromise by trading contrast
effects for the ability to have preferable in vivo behaviors, strenuous efforts have been made recently to improve
their targeting efficiency, and to control pharmacokinetics and biodistributions
through variations of their sizes, shapes, and surface properties.
Although some metallic nanostructures with complex shapes showed desired
tumor targeting efficiency without compromising optical properties,
great challenges still remain in the precise control of their geometries
and monodispersity.[28−32]Recently, many colloidal hybrid nanostructures with sophisticated
architectures have been constructed from multiple functional components
either assembled using linkers or fused together by solid-state interfaces.[38] In order to build novel hybrid nanostructures
with optimal structure and morphology for SPR, we herein developed
a synthetic strategy to construct a series of anisotropic gold-based
nanomultipods, including dipods, tripods, and tetrapods (Figure 1), with improved yield and excellent quality in
a predictable, controlled, and stepwise manner. Among them, the gold
tripods (Au tripods) have relatively small sizes with a narrow size
distribution and display stringently controlled morphology and, more
importantly, have well-defined absorptions in visible and NIR regions.
As a proof of concept, we further conjugated αvβ3 integrins targeting the peptide, cyclic c(RGDfC) peptide,[39] to PEGylated Au-tripods (RGD-Au-tripods) and
used this novel nanoprobe as a PAI contrast agent to image tumor angiogenesis.
The tumor targeting efficacy and in vivo profile
of PEGylated Au-tripods (modified with different sizes of PEGs and/or
RGD) labeled with radionuclide 64Cu were evaluated in a
subcutaneous αvβ3-positive U87MG
glioblastoma xenograft model using small animal positron emission
tomography (PET). Finally, PAI was performed to investigate the targeting
and imaging performance of RGD-Au-tripods as photoacoustic contrast
agents.
Figure 1
Construction of gold multipods (including Au–Pt dumbbell
NPs, Au-dipods, Au-tripods and Au-tetrapods). (a) Schematic showing
the stepwise syntheses of various gold multipods via a set of known
nucleation reactions and epitaxial growth processes. Various gold
multipods are modeled by Lumerical FDTD Solution (Lumerical Solution
Inc.). Considering the regioselectivity, several possible regioisomers
are shown in the bottom-left panel. (b) TEM images of the resultant
gold multipods at different magnifications. HRTEM images of representative
gold multipods are shown in the bottom-right panels.
Construction of gold multipods (including Au–Pt dumbbell
NPs, Au-dipods, Au-tripods and Au-tetrapods). (a) Schematic showing
the stepwise syntheses of various gold multipods via a set of known
nucleation reactions and epitaxial growth processes. Various gold
multipods are modeled by Lumerical FDTD Solution (Lumerical Solution
Inc.). Considering the regioselectivity, several possible regioisomers
are shown in the bottom-left panel. (b) TEM images of the resultant
gold multipods at different magnifications. HRTEM images of representative
gold multipods are shown in the bottom-right panels.
Results
Construction and Characterization
of Au-Tripods
By
sequentially applying a set of nucleation reactions and epitaxial
growth processes, we successfully built up four gold-based nanostructures,
comprising Au–Pt dumbbell, dipods, tripods, and tetrapods,
with predetermined composition and morphology (Figure 1a). In this structure-guided approach, we chose colloidal
platinum (Pt) NPs as core seeds (or starting materials) because they
are highly monodisperse and their sizes can be facilely tuned from
3 to 7 nm,[40,41] and more importantly, they have
definite and rigid cubic shapes (Supporting Information [SI], Figure S4). In order to tune the sizes of Pt nanocrystals,
we applied stepwise seed-mediated growth processes to obtain monodisperse
Pt nanocubes (SI section C.1.1. and Figure
S4). As-synthesized 4.9 nm Pt NPs with truncated cubic shapes could
preferably grew into thermodynamically more stable morphologies (cubic
6.5 nm Pt NPs) after an extra seed-mediated growth process. Similarly,
7.5 nm Pt NPs were obtained when 5.8 nm Pt NPs were used as seeds.
All Pt nanocubes have a very narrow size and shape distribution (Figure
S5 and Table S2). Due to excellent lattice coherence between Pt and
Au crystals in the fcc phase, the epitaxial growth of gold preferentially
occurs at the vertices of cubic Pt seeds (SI section C.1.2), resulting in the formation of various Au heterostructures
(Figure 1). Typically, the epitaxial growth
of Au on 4.9 nm Pt seeds produced dumbbell-like Au–Pt NPs.
Use of 5.8 nm Pt NPs as seeds resulted in Au-dipods. There are two
geometrical isomers; one is linear and the other is bent, corresponding
to para and meta configurations, respectively. Interestingly, we found
that, unlike 7.5 nm Pt NPs as seeds resulting in a mixture of tripods
and tetrapods, 6.5 nm Pt seeds exclusively led to the formation of
tripods with a narrow distribution of size and shape (Figure 1b). The statistical analysis suggested that a majority
of resultant NPs were Au-tripods (SI Figure
S7–S9). To the best of our knowledge, it is the first time
for constructing novel Au tripods with high yield and improved quality
by sequentially applying a set of known nucleation reactions and epitaxial
growth processes.There are two geometrical isomers identified
in the resultant tripods; namely one with C3v symmetry
is called as tripod-A and the other with C2 symmetry is tripod-T (Figure 1a). The steric accessibility determines the spatial distribution
of Au crystals on the Pt nanocubes (SI Scheme
S2 and S3). There are two meta positions favorable for the nucleation
of incoming Au crystals when an intermediate has a bent shape, thereby
resulting in the formation of tripod-A; there are six nucleation positions
equal to the incoming Au crystals in the case of a linear intermediate,
producing the other type of tripods (tripod-T). The statistical analysis
results showed that an amount of tripod-T was finally obtained slightly
higher than that of tripod-A (60% vs 40% in the resultant tripods, n = 300, Figure 1a). The sizes and
shapes of various Au-multipods and each component within NPs were
determined by dynamic light scattering (DLS) and TEM (SI Table S3 and Figure S9). The Au-tripods showed
the lowest circularity among the branched NPs, largely due to their
anisotropic nanostructures and surface roughness.The representative
TEM and scanning transmission electron microscope
(STEM) images (Figure 2b–e) of Au-tripods
showed that well-crystallized interfaces were formed between the Pt
seeds and grown Au branches. The lattice fringes between Pt seeds
and Au branches shown in SI Figure S11
are 0.23 nm and related to (111) planes of either Pt or Au in the
fcc phase [2.260 Å for (111) plane of Pt, 2.355 Å for (111)
plane of Au]. STEM images clearly showed that each Au branch epitaxially
grew at one of the vertices of cubic Pt seeds. Two types of tripods,
tripod-T and tripod-A, were definitively identified in the STEM images
(Figure 2d–e). The forward and inverse
fast Fourier transforms (FFT) were further applied to their HR-TEM
images to distinguish Au branches and Pt core. The right panel of
Figure 2 shows the HR-TEM images of three typical
tripods (the first two belong to the type ‘tripod-T’;
the third one is ‘tripod-A’). The inset in diffractogram
patterns shows the splits of the (222) and (331) peaks into two spots:
one (blue) for Pt and the other (black) for Au crystal, because of
slightly different planar distances of the Pt and Au crystals. Inverse
FFT reconstructions of the Pt (bottom) or Au (top) NPs using only
their own reflections, [222], [331], [220], and [111], provided the
real-spatial distributions of Pt and Au in tripods, respectively.
Therefore, the lattice images coupled with the forward and inverse
fast Fourier transform further confirmed the spatial configuration
of Au branches and Pt core within Au-tripods.
Figure 2
HRTEM and STEM images
of Au-tripods, and their Fourier transform
and inverse Fourier transform analyses. (a) TEM image of typical Au-tripods.
There are two types of tripods: tripod-A (b) and tripod-T (c). (d,e)
STEM images of two types of tripods. (f–h) HRTEM images of
typical tripod-T and its fast Fourier transform (FFT) and inverse
fast Fourier transform (inverse FFT) analyses. The insets in (g) show
the splits of the (222) and (331) peaks into two spots: one for Pt
and the other for Au crystal. Inverse FFT reconstructions of the Pt
(bottom) or Au (top) NPs using only the superlattice reflections,
[222], [331], [220], and [111], are shown in (h). (i–k) HRTEM,
FFT, and inverse FFT reconstruction of the other tripod-T with different
orientation. Inverse FFT reconstruction of the Pt (bottom) or Au (top)
NPs using the superlattice reflections [222], [331], [220], and [111].
(l–n) HRTEM, FFT, and inverse FFT reconstruction of tripod-A.
The split of the (222) peaks is attributed to the difference between
Pt and Au crystals and is shown in the inset of (m). Inverse FFT reconstructions
of the Pt (bottom) or Au (top) NPs using only the superlattice reflections
[222], [220], and [111] are shown in (n).
HRTEM and STEM images
of Au-tripods, and their Fourier transform
and inverse Fourier transform analyses. (a) TEM image of typical Au-tripods.
There are two types of tripods: tripod-A (b) and tripod-T (c). (d,e)
STEM images of two types of tripods. (f–h) HRTEM images of
typical tripod-T and its fast Fourier transform (FFT) and inverse
fast Fourier transform (inverse FFT) analyses. The insets in (g) show
the splits of the (222) and (331) peaks into two spots: one for Pt
and the other for Au crystal. Inverse FFT reconstructions of the Pt
(bottom) or Au (top) NPs using only the superlattice reflections,
[222], [331], [220], and [111], are shown in (h). (i–k) HRTEM,
FFT, and inverse FFT reconstruction of the other tripod-T with different
orientation. Inverse FFT reconstruction of the Pt (bottom) or Au (top)
NPs using the superlattice reflections [222], [331], [220], and [111].
(l–n) HRTEM, FFT, and inverse FFT reconstruction of tripod-A.
The split of the (222) peaks is attributed to the difference between
Pt and Au crystals and is shown in the inset of (m). Inverse FFT reconstructions
of the Pt (bottom) or Au (top) NPs using only the superlattice reflections
[222], [220], and [111] are shown in (n).
Optical Properties of Au-Tripods and Simulation
The
PAI requires contrast agents with relatively large absorption cross
section. A conventional UV–vis–NIR spectrometer can
measure the extinction spectra of nanostructures, which comprise two
components: scattering and absorption, eventually providing the extinction
cross section (σe, σe = σa + σs, where σa is absorption
cross section and σs is scattering cross section).
As seen in Figure 3a, the Au-tripods have a
much stronger extinction peak in the NIR region, compared with the
other Au-multipods. There are two plasmon resonances at the 540 and
700 nm peaks in the region of 400 to 1000 nm. The 540 nm feature corresponds
to a quadrupole resonance out of the plane of the gold tripods, and
the 700 nm feature is attributed to a dipole resonance in the plane
of the Au-tripods.[20]
Figure 3
Optical properties of
Au-tripods, and measurement and simulation
of optical absorption cross sections of tripods. (a) UV–vis
extinction curves of various gold multipods (including Au–Pt
dumbbell NPs, Au-dipods, Au-tripods, and Au-tetrapods) at the same
sample weight (based on ICP-MS). (b) UV–vis extinction curves
of gold nanospheres, cubic platinum NPs, and gold nanorods (54 nm
length and 18 nm diameter, more information in the SI, sections C.2 and C.3). (c) The calculated absorption cross
section of tripod-T as a function of ω (the incident beam is polarized along the z-axis, and the tripod-T is rotated around the x-axis.
ω is the angle between the e-field
and the long axis of tripod-T. (d) The calculated absorption cross
section of tripod-A as a function of ω (the incident beam is polarized along the z-axis, and the tripod-A is rotated around the x-axis.
ω is the angle between the e-field
and the side of tripod-A. Polarization dependence of the average electric
field intensity of tripod-T (e) and tripod-A (f). Electric field intensity
contours in xz plane, xy plane,
and yz plane at 700 nm were obtained from the FDTD
calculations on both tripod-T and tripod-A. The long axis of tripod-T
is parallel to the z-axis; one side of tripod-A is
parallel to the z-axis. The excitation polarization
relative to the z-axis is 0°. x and y represent the horizontal and vertical lengths
of the calculated area.
Optical properties of
Au-tripods, and measurement and simulation
of optical absorption cross sections of tripods. (a) UV–vis
extinction curves of various gold multipods (including Au–Pt
dumbbell NPs, Au-dipods, Au-tripods, and Au-tetrapods) at the same
sample weight (based on ICP-MS). (b) UV–vis extinction curves
of gold nanospheres, cubic platinum NPs, and gold nanorods (54 nm
length and 18 nm diameter, more information in the SI, sections C.2 and C.3). (c) The calculated absorption cross
section of tripod-T as a function of ω (the incident beam is polarized along the z-axis, and the tripod-T is rotated around the x-axis.
ω is the angle between the e-field
and the long axis of tripod-T. (d) The calculated absorption cross
section of tripod-A as a function of ω (the incident beam is polarized along the z-axis, and the tripod-A is rotated around the x-axis.
ω is the angle between the e-field
and the side of tripod-A. Polarization dependence of the average electric
field intensity of tripod-T (e) and tripod-A (f). Electric field intensity
contours in xz plane, xy plane,
and yz plane at 700 nm were obtained from the FDTD
calculations on both tripod-T and tripod-A. The long axis of tripod-T
is parallel to the z-axis; one side of tripod-A is
parallel to the z-axis. The excitation polarization
relative to the z-axis is 0°. x and y represent the horizontal and vertical lengths
of the calculated area.The σa of Au-tripods was calculated using
combined
UV–vis–NIR spectrometer and photoacoustic measurements.[42] While UV–vis–NIR spectrometer
measures the total extinction coefficient, in photoacoustic imaging,
the detected signal is directly proportional to the absorption coefficient
(μa) of the NPs. Because the SPR peak of the tripods
is tuned to 700 nm, methylene blue is suitable as a reference dye
to obtain the calibration curve. On the basis of the linear relationship
between μa and photoacoustic signal amplitude and
the known σa of methylene blue (SI Figure S15), the photoacoustic signals from Au-tripods
with different concentrations were converted into μa, and the σa of Au-tripods was calculated by dividing
the μa by the corresponding concentration of the
Au-tripods. In the calculation, the σa and σe of the tripods at 670 nm were 2.02 ± 0.03 × 10–16 and 2.06 ± 0.03 × 10–16 m–2, respectively (σa/σe = 0.98). As a result, on a per-weight basis, the Au-tripods
are generally able to generate more contrast (33%) on PA images within
the NIR region compared to gold rods (SI Table S4).To gain more insight into the localized surface
plasmon resonance
(LSPR) spectra and to obtain better structural optimization, we performed
numerical analysis on various gold multipods using a commercial finite
difference time domain (FDTD) simulation package (Lumerical Solution
Inc., Canada). The Au-multipods are modeled as a cubic Pt core with
Au spheres (see detailed modeling in the SI sections B.3 and C.4). The corresponding geometrical parameters
were obtained from the previous results in SI Tables S2 and S3. The contributions of absorption cross sections
of two types of Au-tripods (tripod-T and tripod-A) as a function of
the rotated angle around the x-axis were obtained
using the FDTD simulation and are shown in c and d of Figure 3. The calculated absorption cross section maxima
of tripod-T were at 530 and 710 nm, in good agreement with experimental
data (a and c of Figure 3), while theoretical
absorption maximum peaks of tripod-A occurred at 520 and 900 nm (very
broad peak centered at 900 nm). Using the FDTD method, we have further
studied the near-field optical properties of all gold multipods, gold
rods, and nanospheres (SI section C.4,
Figures S16–S21). The electric field intensity contours were
calculated at the excitation wavelength of 700 nm as the excitation
polarization was varied gradually from the longitudinal to transverse
directions. Similar to gold rods, the Au-tripods have a strong polarization-dependent
cross section. It was clear that under the resonance excitation, the
maximum field enhancement regions were observed to rotate away from
vertical tripod as the excitation polarization rotated around the y-axis (SI Figure S18). It is
worth noting that the electric fields on the surface of Au-tripods
(especially Au-tripod-T) are ∼2–3 orders of magnitude
higher when compared to fields around spherical gold nanoparticles
at the same weight in the NIR range. As seen in the Figure 3e,f and SI Figure S18,
the edges of tripods and the junctions between two Au–Au NPs
on the Pt cores are locations of enhanced fields (also called hot
spots), due to the occurrence of coupled plasmons.
Surface Modification
of Au-Tripods
In order to stabilize
the Au-tripods in the aqueous solution and provide the capability
for subsequent surface modification, we developed a facile, versatile
PEGylation strategy which can significantly increase in vivo circulation time of resultant NPs and reduce their reticuloendothelial
system (RES) accumulation versus uncoated counterparts. The PEGylation
of Au-tripods involved the formation of gold–thiolate bonds
at the gold–sulfur interface and the self-assembly of a monolayer
on gold surface (SI Scheme S1).[43] The bidentate thiol-terminated polyethylene
glycol (PEG) chains facilitated subsequent immobilization of various
biological molecules via bioconjugation chemistry. The c(RGDfC) was
efficiently and site-specifically conjugated on the maleimide-terminated
NPs in an oriented and homogeneous fashion. In order to track the
RGD-Au-tripods in vivo by PET, the radioactive metal
chelator, 2-(4-isothiocyanatobenzyl)-1,4,7-triazacyclononane-1,4,7-triacetic
acid (p-SCN-Bn-NOTA) was further conjugated to the surface of RGD-Au-tripods
in a well-defined manner for 64Cu radiolabeling. The hydrodynamic
size change and the corresponding change in ζ potentials of
modified Au-tripods clearly confirmed the efficient conjugation of
the c(RGDfC) peptide to the nanoparticles (SI Figure S25 and Table S5–S8). RGD-Au-tripods also showed excellent
stability under physiological conditions. There were no significant
size changes or aggregation in the presence of the mouse serum after
48 h at 37 °C (SI Figure S27). We
also validated the targeting ability of RGD-Au-tripods to αvβ3-positive U87MG cells in vitro by determining their cellular uptake using TEM and inductively coupled
plasma mass spectrometry (ICP-MS) analysis (SI Figures S28 and S29).In order to obtain a better understanding
of the in vivo behavior of Au-tripods and study their
potential toxicity, we carried out a pilot preclinical animal toxicity
study to assess the potential toxicity of tripods to pave the way
for their clinical translation. Both hematology and serum biochemistry
analyses, and histologic and microscopic examination revealed that
no evidence of significant acute toxicity was observed and the tripods
are likely highly biocompatible in small living subjects (SI Figures S35–S37).
Pharmacokinetics
and Biodistribution of Au-Tripods
The pharmacokinetics, biodistribution,
and tumor-targeting ability
of Au-tripods were investigated in small living animals. As described
in the previous section, the water-soluble Au-tripods were coated
with a layer of functional PEG chains. Quantification of grafted PEG
density on PEGylated Au-tripods was performed using spectrophotometric
analyses of free amines on the PEGylated Au-tripods (SI Table S6). Typically, the density of amine groups on Au-tripod
(PEG 3400 coating) was 0.966 ± 0.07 number/nm2; the
ratio of amine groups to a single tripod was 757 ± 56. The chelating
agent NOTA was attached to the terminal of PEG chains for PET radionuclide 64Cu. Importantly, the 64Cu radiolabels on the tripods
remained intact on the tripods even though they were incubated in
the mouse serum over 24 h.The U87MG tumor-bearing mice (n = 4) were tail-vein injected with 64Cu–Au-tripod,
followed by small animal PET scans at different time points (1, 2,
4, 24, and 48 h). PET imaging results revealed nonspecific uptake
of PEGylated tripods by the liver, spleen, and even kidney (Figure 4a and SI Figures S30–S32),
but minimum accumulation in the muscle or other major organs. Although
most of the tripods were eliminated through hepatic excretion, the
kidney retention of radio-labeled tripods over time suggested that
the renal excretion could be an additional clearance route for tripods
in mice. Since the heart acted as a cardiac blood pool, the signals
from the heart were used as indicators to calculate the blood circulation
time. The PEGylated tripods showed slow systemic clearance because
of a long blood circulation time (t1/2 = 2.29 h), making themselves more available for distribution to
target tissues via the enhanced permeability and retention (EPR) effect.
Figure 4
Small
animal PET images and PET quantification of intravenous injected
tripods with different surface functionalization in mice bearing the
U87MG human glioblastroma tumor. (a–c) Targeting of integrin
αvβ3-postitive U87MG tumor in mice
by RGD-functionalized tripods. Decay-corrected whole-body coronal
PET images of nude mice bearing human U87MG tumors at 1, 4, 24, and
48 h after injection of 3.7 MBq of 64Cu-RGD-Au-tripod, 64Cu-RGD-Au-tripod with a blocking dose of c(RGDfC) (21 μmol
of c(RGDfC)/kg of mouse body weight), and 64Cu–Au-tripod
(200 pmol/kg of mouse body weight, or 2 mg/kg of mouse body weight).
(d,f) PET quantification of tumors and major organs after intravenous
injection to mice bearing subcutaneous U87MG glioma xenografts (n = 4 per group, data represent means ± SD). (g–i),
Comparison of tumor and major organ uptake of 64Cu-RGD-Au-tripod, 64Cu-RGD-Au-tripod with a blocking dose of c(RGDfC), and 64Cu–Au-tripod for a time period up to 48 h after intravenous
injection to U87MG tumor-bearing mice (n = 4 per
group). Data represent mean ± SD ** P < 0.01, *P <
0.05 (two-sided Student’s t-test).
Small
animal PET images and PET quantification of intravenous injected
tripods with different surface functionalization in mice bearing the
U87MG human glioblastroma tumor. (a–c) Targeting of integrin
αvβ3-postitive U87MG tumor in mice
by RGD-functionalized tripods. Decay-corrected whole-body coronal
PET images of nude mice bearing human U87MG tumors at 1, 4, 24, and
48 h after injection of 3.7 MBq of 64Cu-RGD-Au-tripod, 64Cu-RGD-Au-tripod with a blocking dose of c(RGDfC) (21 μmol
of c(RGDfC)/kg of mouse body weight), and 64Cu–Au-tripod
(200 pmol/kg of mouse body weight, or 2 mg/kg of mouse body weight).
(d,f) PET quantification of tumors and major organs after intravenous
injection to mice bearing subcutaneous U87MG glioma xenografts (n = 4 per group, data represent means ± SD). (g–i),
Comparison of tumor and major organ uptake of 64Cu-RGD-Au-tripod, 64Cu-RGD-Au-tripod with a blocking dose of c(RGDfC), and 64Cu–Au-tripod for a time period up to 48 h after intravenous
injection to U87MG tumor-bearing mice (n = 4 per
group). Data represent mean ± SD ** P < 0.01, *P <
0.05 (two-sided Student’s t-test).
Targeting Characteristics
of RGD-Au-Tripods
In order
to target the integrin αvβ3 for
imaging tumor angiogenesis and metastasis, the Au-tripods were conjugated
with both p-SCN-Bn-NOTA for 64Cu labeling and c(RGDfC)
for tumor targeting. The numbers of NOTA on the RGD-tripod were determined
by an isotope dilution assay and typically equaled 54.5 ± 3.3.[44] The conjugated RGD was actually determined by
measuring the differences in concentration of RGD using HPLC before
and after addition of Au-tripods during the coupling reaction. The
ratio of RGD to NOTA on Au-tripods was 8.2 ± 0.5. The targeting
ability and specificity of RGD-Au-tripods for the αvβ3 integrin were evaluated in the U87MG tumor-bearing
mice (n = 4). The representative coronal and transverse
PET images of a mouse acquired at 1, 4, 24, and 48 h after tail vein
injection of 64Cu-RGD-Au-tripods, 64Cu–Au-tripods,
or 64Cu-RGD-Au-tripods coinjected with a blocking dose
of c(RGDfC) are shown in Figure 4. Quantitative
analysis showed that tumor uptake of 64Cu-RGD-Au-tripods
gradually accumulated in the tumor between 1 and 24 h, reaching a
plateau at about 24 h post-injection, and then leveled off in the
next 24 h. The 64Cu-RGD-Au-tripods exhibited a significantly
high tumor uptake of ∼7.9% ID/g after 24 h post-injection,
which was more than 3 times higher than that of plain 64Cu–Au-tripods (2.6% ID/g). Such high tumor accumulation was
attributed to the tumor specific binding affinity of RGD functionalization
on the tripods and their long blood circulation time. In the control
group, the tumor uptake was significantly blocked when a blocking
dose of c(RGDfC) was injected into tumor-bearing mice along with 64Cu-RGD-Au-tripods. The reduced tumor uptake was observed
(3.8% ID/g after 24 h post-injection), which is significantly lower
than that of unblocked one (P < 0.05). Interestingly,
compared to plain tripods, 64Cu-RGD-Au-tripods displayed
much longer blood circulation time (t1/2 = 10.3 h for 64Cu-RGD-Au-tripods vs t1/2 = 6.4 h for 64Cu–Au-tripods) and
less RES uptake. 64Cu-RGD-Au-tripods were also found to
be excreted by both hepatobiliary and renal routes, as indicated by
the deposition of radioactivity in the kidney and the gastrointestinal
tract (b and e of Figure 4), which were also
confirmed by the tissue histology following in vivo imaging (SI Figure S40).To confirm
the photoacoustic detection of tripods in tumor cells, we incubated
U87MG cells with RGD-Au-tripods for 2 h under standard conditions.
The cells with internalized RGD-Au-tripods after incubation were washed
and placed in agarose phantom at increasing cell concentrations from
11.5 × 103 to 368 × 103 cells per
well (n = 3 per group). Quantitative analysis of
the photoacoustic signals from the phantom revealed that the minimum
detectable number of tumor cells exposed to RGD-Au-tripods could be
as low as 11.5 × 103 (a and b of Figure 5, and Figure S17 of SI). We observed
a linear correlation between the number of RGD-Au-tripod-loaded cells
and the corresponding photoacoustic signal. The photoacoustic signal
from the phantom when excited at 700 nm provided the best sensitivity
to detect tumor cells. Even at 900 nm, the signal was still detectable
for 50 × 103 of tumor cells.
Figure 5
High sensitivity of Au-tripods
for photoacoustic molecular imaging.
(a) The top view of three-dimensional (3D) volume rendering of photoacoustic
images of an agarose phantom containing decreasing number of U87MG
cancer cells exposed to RGD-Au-tripod at different wavelengths (670,
700, 725, 750, 800, 850, 900 nm). The inhomogeneous signal inside
wells is due to possible aggregation of cells. (b) Quantitative analysis
of the photoacoustic signal (relative to the background signal) from
the phantom (n = 3). (c) RGD-Au-tripod ranging in
concentrations from 390 pM to 12.5 nM were injected subcutaneously
into the flank of living mice (n = 3) and scanned
with photoacoustic instrument. (d,e) Picomolar photoacoustic detection
of tripods in living mice. The coronal view (d) of 3D volume rendering
of photoacoustic images of subcutaneous inclusions. The skin is visualized
in the ultrasound image (gray-scale images), which is overlaid with
photoacoustic images (green-scale images). (f,g) Three-dimensional
volume rendering of photoacoustic images (green) and ultrasound images
(brown) of subcutaneous inclusion. a.u. = arbitrary units. (h) Photoacoustic
signals recorded in vivo increased linearly with the tripod concentration
(R2 = 0.96, n = 3 mice,
data represent mean ± SD). The background level represents the
endogenous signal measured from tissues. (i) Quantitative analysis
of the photoacoustic signal (relative to the background signal) (mice n = 3).
High sensitivity of Au-tripods
for photoacoustic molecular imaging.
(a) The top view of three-dimensional (3D) volume rendering of photoacoustic
images of an agarose phantom containing decreasing number of U87MG
cancer cells exposed to RGD-Au-tripod at different wavelengths (670,
700, 725, 750, 800, 850, 900 nm). The inhomogeneous signal inside
wells is due to possible aggregation of cells. (b) Quantitative analysis
of the photoacoustic signal (relative to the background signal) from
the phantom (n = 3). (c) RGD-Au-tripod ranging in
concentrations from 390 pM to 12.5 nM were injected subcutaneously
into the flank of living mice (n = 3) and scanned
with photoacoustic instrument. (d,e) Picomolar photoacoustic detection
of tripods in living mice. The coronal view (d) of 3D volume rendering
of photoacoustic images of subcutaneous inclusions. The skin is visualized
in the ultrasound image (gray-scale images), which is overlaid with
photoacoustic images (green-scale images). (f,g) Three-dimensional
volume rendering of photoacoustic images (green) and ultrasound images
(brown) of subcutaneous inclusion. a.u. = arbitrary units. (h) Photoacoustic
signals recorded in vivo increased linearly with the tripod concentration
(R2 = 0.96, n = 3 mice,
data represent mean ± SD). The background level represents the
endogenous signal measured from tissues. (i) Quantitative analysis
of the photoacoustic signal (relative to the background signal) (mice n = 3).To test the tripod’s
PAI sensitivity in living mice, we
subcutaneously injected the right hind side of a mouse with 30 μL
of RGD-Au-tripods mixed with Matrigel (n = 3) at
increasing concentrations of 0.39, 0.78, 1.56, 3.125, 6.25, and 12.5
nM. After the incision was solidified in place, the mouse was placed
on its left side (left lateral recumbent) and partially embedded in
the agarose gel covered with a water bath, and was then scanned under
the photoacoustic system. While the ultrasound signals were used to
reconstruct the mouse anatomy, including skin and inclusion edges,
the photoacoustic signals showed the tripods contrast in the mice
(Figure 5c–h). Quantitative analysis
of the photoacoustic signals from each inclusion using a 3D region
of interest drawn over the inclusion revealed a linear correlation
between the tripod concentration and the corresponding photoacoustic
signal. Compared to the tissue background, about 200 pM of RGD-Au-tripods
extrapolated from the signal-concentration curve provided the equivalent
photoacoustic signal as the tissue background.Similar to PET
imaging, the PAI imaging ability of RGD-Au-tripods
to αvβ3 integrin-positive tumor
was evaluated in the U87MG tumor-bearing mice (n =
3) (see Figure 6). Before the injection, the
photoacoustic and ultrasound images of
the mice were taken. Photoacoustic images with lateral step size of
0.25 mm were acquired at 700 nm wavelength. Following the photoacoustic
scan, an ultrasound image of the entire tumor area was acquired. The
U87MG tumor-bearing mice were then injected with 100–200 μL
of RGD-Au-tripods (200 pmol per kg mouse body weight) in PBS through
the tail vein. For the receptor-blocking experiment, mice were coinjected
with 21 μmol of c(RGDfC)/kg of mouse body weight and 100–200
μL of RGD-Au-tripods (200 pmol per kg mouse body weight) in
PBS through the tail vein. After injection, photoacoustic images were
acquired at 700 nm at 0.5, 1, 2, and 4 h post-injection. Quantitative
analysis of the photoacoustic signal from the tumor was done by drawing
three-dimensional (3D) regions-of-interest (ROIs) around tumors on
the basis of the ultrasound images. Since there was the background
blood signal in each photoacoustic scan, a subtraction image calculated
at the 2-h post-injection image minus the preinjection image is shown
in SI Figure S39 and was used to subtract
out the background hemoglobin signal and examine the differences between
groups. Mice injected with RGD-Au-tripods showed significantly higher
photoacoustic signal in the tumor compared with the blocking group
coinjected with RGD after 2 h post-injection. Quantitative analysis
showed that tumor uptake of RGD-Au-tripods gradually accumulated in
the tumor between 1 and 4 h, reaching a plateau at about 2 h post-injection,
and then leveled off in the next 2 h. The mice injected with RGD-Au-tripods
at 2 h post-injection showed more than 3 times higher photoacoustic
signal in the tumor than the mice coinjected with RGD and RGD-Au-tripods.
The tumor tissue histology combined with silver staining further confirmed
the specific targeting ability of RGD-Au-tripods toward U87MG tumors
(SI Figure S40).
Figure 6
Targeting of integrin
αvβ3-postitive
U87MG tumors in mice by RGD-Au-tripod. (a) The coronal, sagittal,
and transverse views of 3D volume rendering of photoacoustic images
and ultrasound images of nude mice bearing U87MG tumors were obtained
before injection or at 1, 4, 24, and 48 h after intravenous injection
of RGD-Au-tripod (200 pmol/kg of mouse body weight, or 2 mg/kg of
mouse body weight). (b) The coronal, sagittal, and transverse views
of 3D volume rendering of photoacoustic images and ultrasound images
of nude mice bearing U87MG tumors were obtained before injection or
at 1, 4, 24, and 48 h after coinjection of a blocking dose of c(RGDfC)
(21 μmol of c(RGDfC)/kg of mouse body weight) and RGD-Au-tripod
(200 pmol/kg of mouse body weight, or 2 mg/kg of mouse body weight).
Subtraction images were calculated at the 2-h post-injection image
minus the preinjection image (SI Figure
S34). (c) Mice injected with RGD-Au-tripod showed significantly higher
photoacoustic signal than mice with coinjection of a blocking dose
of c(RGDfC) and the same amount of RGD-Au-tripod (p < 0.001, two-sided Student’s t-test).
The error bars represent standard error (n = 3 per
group). (d) The perspective views of 3D volume rendering of photoacoustic
images (green) and ultrasound images (brown) of tumors.
Targeting of integrin
αvβ3-postitive
U87MG tumors in mice by RGD-Au-tripod. (a) The coronal, sagittal,
and transverse views of 3D volume rendering of photoacoustic images
and ultrasound images of nude mice bearing U87MG tumors were obtained
before injection or at 1, 4, 24, and 48 h after intravenous injection
of RGD-Au-tripod (200 pmol/kg of mouse body weight, or 2 mg/kg of
mouse body weight). (b) The coronal, sagittal, and transverse views
of 3D volume rendering of photoacoustic images and ultrasound images
of nude mice bearing U87MG tumors were obtained before injection or
at 1, 4, 24, and 48 h after coinjection of a blocking dose of c(RGDfC)
(21 μmol of c(RGDfC)/kg of mouse body weight) and RGD-Au-tripod
(200 pmol/kg of mouse body weight, or 2 mg/kg of mouse body weight).
Subtraction images were calculated at the 2-h post-injection image
minus the preinjection image (SI Figure
S34). (c) Mice injected with RGD-Au-tripod showed significantly higher
photoacoustic signal than mice with coinjection of a blocking dose
of c(RGDfC) and the same amount of RGD-Au-tripod (p < 0.001, two-sided Student’s t-test).
The error bars represent standard error (n = 3 per
group). (d) The perspective views of 3D volume rendering of photoacoustic
images (green) and ultrasound images (brown) of tumors.
Discussion
We showed the ability
to engineer and manipulate constitutional
nanocrystals at the nanometer-scale to build novel nanotripods in
a predictable and controlled manner. The construction of Au-tripods
involved a set of nucleation reactions and epitaxial growth processes,
which are controlled by surface diffusion.[45,46] As solid-state analogues of multifunctional organic molecules, Pt
nanocubes could be used as building blocks to construct sophisticated
hybrid architectures.[38,41] Although Sun and co-workers provided
an important insight in the formation of various branched NPs,[41] the stochastic simulation in two dimensions
inevitably overlooked certain configurations of constructed nanostructures.
The selective growth of a heterogeneous nanocrystal phase onto certain
regions of nanocrystal seeds depends on the surface potential and
lattice matching.[46] We found that regioselectivity
of the heterogeneous nucleation on cubic Pt seeds plays an important
role on the formation of nanotripods (SI Schemes S1 and S2). Considering the possible nucleation regions
and steric effect, 6.5 nm cubic seeds exclusively resulted in the
formation of uniform Au-tripods with high yield and improved quality
by sequentially applying a set of known nucleation reactions and epitaxial
growth processes.The theoretical calculation coupled with experimental
results on
such anisotropic tripod nanostructures was used as a guide for the
design and fabrication of PAI nanoprobes. We successfully identified
tripods with two possible configurations as high absorbance nanomaterials
from various gold multipods using a numerical simulation analysis.
The enhancement of the electric field on the surface of Au-tripods
is due to the occurrence of coupled plasmons at the edges of tripods
and the junctions between gold nanocrystals on the Pt cubes. Optimizing
the geometrical configurations of gold nanocrystals on the Pt cube
could improve the plasmon resonances of Au-tripods. The measured absorption
spectrum of Au-tripods was identified by the calculated FDTD spectrum.
Due to an obvious increase in the cross section of Au-tripods on a
per-weight basis compared to that of the gold rods, Au-tripods could
generate more contrast on PA images within the NIR region. Among nanoparticle-based
PA contrast agents, Au-tripods exhibit superior optical properties
in the NIR region, and more importantly, they have exceptionally small
sizes, which are distinctive advantages over traditional gold-based
NPs or carbon nanotubes for in vivo molecular imaging.[15,24,47]We have successfully validated
novel Au-tripods as multimodality
probes for in vivo molecular imaging (PAI and PET).
The in vivo biodistribution of Au-tripods favorable
for living subject imaging was confirmed by 64Cu radiolabeling
and imaging their localization over time using PET. After intravenous
administration, the Au-tripods accumulated in liver and spleen, suggesting
that the hepatic excretion is a major route of elimination of Au-tripods.
Interestingly, the kidney retention of Au-tripods over time revealed
that the renal excretion could be an additional clearance route for
Au-tripods. Considering the anisotropic shape of Au-tripods [the thickness
of tripods is close to the renal clearance threshold (less than 7
nm)], it is possible for Au-tripods to be cleared to some extent through
the renal system.[48,49] The PAI signals were linearly
correlated with their concentrations after subcutaneous injection.
Intravenous administration of RGD-Au-tripods to U87MG tumor-bearing
mice showed remarkably higher contrast in tumors than competitive
injection controls
even at subnanomolar concentrations. PAI results correlated well with
the corresponding PET images. Quantitative biodistribution data revealed
that 7.9% ID/g of RGD-Au-tripods accumulated in the U87MG tumor after
24 h post-injection, but an obvious decrease in RES uptake (low liver
and spleen accumulation, Figure 4) of RGD-Au-tripods
was observed during the imaging. It is clear that their tumor uptake
was higher than most of traditional gold-based NPs for in
vivo molecular imaging,[24,47] probably due
to their unique anisotropic shape and relatively small size. A pilot
mouse toxicology study confirmed that no evidence of significant acute
and systemic toxicity was observed in histopathological examination.
Conclusion
By sequentially applying a set of nucleation reactions and epitaxial
growth processes, we herein developed a control and stepwise strategy
to build novel anisotropic Au-tripods with predesigned shape, high
yield, and excellent quality. These Au-tripods exhibit superior optical
and physical properties compared to their counterparts with regular
architectures. We showed the ability to tune their shape-dependent
plasmon resonances to the NIR window without compromising their pharmacokinetic
profile. Our strategy opens up novel ways to enable the creation of
sophisticated nanostructures with predetermined optical and physical
properties for specific biomedical applications. Moreover, our study
suggests that highly selective and sensitive detection of cancer cells
in a living subject is possible using molecular specific Au-tripods
as PAI contrast agents. The functionalized RGD-tripods showed significantly
enhanced photoacoustic contrast effect in both phantom and small animal
imaging experiments. Functional and molecular information of the tumor
with high spatial resolution was further obtained by PAI, which correlated
well with the corresponding PET quantification. Due to their excellent
biocompatibility and stability in a biological environment, ease of
functionalization, passive and activated targeting capabilities and
potential hepatic and renal clearance, the Au-tripods represent a
new generation of a nanoplatform for biomedical research and personalized
therapy.
Methods and Materials
Materials
The
integrin αvβ3 targeting peptide
cyclo (Arg-Gly-Asp-d-Phe-Cys)
(cRGDfC) was purchased from Peptides International, Inc. (Louisville,
KY). The p-SCN-Bn-NOTA was purchased from Macrocyclics, Inc. Hydrogen
tetrachloroaurate(III) hydrate (HAuCl4) and platinum(II)
acetylacetonate (Pt(acac)2) was ordered from Strem Chemicals,
Inc. N-Hydroxysuccinimide (NHS), N-hydroxysulfosuccinimide (sulfo-NHS), succinimidyl 4-(N-maleimidomethyl) cyclohexane-1-carboxylate (sulfo-SMCC), and 1-ethyl-3-(3-dimethylaminopropyl)
carbodiimide, hydrochloride (EDC) were purchased from Thermo Fisher
Scientific. All other chemicals were purchased from Sigma-Aldrich.
Other solvents and chemicals were used as received. All buffers and
media were purchased from Invitrogen Corp. Deionized water was obtained
from a Millipore Milli-DI Water Purification system. The dialysis
membrane tubing (MWCO: 12,000–14,000, and 100,000) were purchased
from Spectrum laboratories.
Size Tuning of Cubic Pt NPs
The
size of various cubic
Pt NPs was successfully tuned by adjustment of the reaction conditions
in a precise manner. Monodisperse Pt seeds were synthesized by thermal
decomposition of platinum precursor [Pt(acetylacetonate)2, Pt(acac)2], in 1-octadecene solution containing a trace
amount of iron pentacarbonyl [Fe(CO)5], which facilitates
a fast nucleation and improves the homogeneous growth of platinum
crystals.[40] The shape and size of Pt NPs
are dependent on the reaction temperature at which a trace amount
of Fe(CO)5 was injected. Multiple stepwise seed-mediated
growth processes were applied to obtain monodisperse Pt nanocubes.
The detailed synthesis procedure is described in the SI Methods.
Synthesis and Surface Modification of Au-Tripods
The
gold precursor (hydrogen tetrachloroaurate, HAuCl4, 100
mg, 0.29 mmol) was dissolved in 20 mL of 1-octadecene (ODE) containing
2 mL of oleylamine under nitrogen protection. After stirring at room
temperature for 5 min, the solution was heated up to 80 °C. Twenty
milligrams of 6.5 nm freshly synthesized Pt NPs (dispersed in 1 mL
of hexane) was quickly injected into the above solution. The resultant
mixture was then heated up to 110 °C and kept at this temperature
for one hour before it was cooled down to room temperature. The solution
finally turned to gray-purplish color, indicating the formation of
gold branched nanostructures. The particles were precipitated out
by adding 30 mL of isopropanol and collected by a centrifuge (3000
rcf, 5 min). The resultant particles were redispersed in 5 mL of hexane
and then precipitated out by adding ethanol. This purification step
was repeated twice to remove the extra surfactant and ODE. The final
product (Au-tripods) was dispersed in 10 mL of hexane in the presence
of 0.01 mL of oleylamine for further use.Surface PEGylation
of Au-tripods is described in detail in the SI sections A.4, B.2, C.5, and C.6. Briefly, the Au-tripods (10 mg)
were suspended in 3 mL of a chloroform solution of bidentate thiol-termined
PEG chains (O-(3-aminopropyl)polyethylene glycol
lipoate amide, LP-PEG-3400-NH2, 0.02 mmol, SI section A.3). After stirring at room temperature for 24 h, PEGylated
Au-tripods were precipitated by adding 20 mL of hexane, collected
by a brief centrifugation, and dried under the nitrogen gas flow.
PEGylated Au-tripods were then dispersed in water, and the unbound
PEG and any other excess reagents were removed by dialysis against
water or phosphate-buffered saline (PBS) (10 mM, pH 7.4) by dialysis
tubing (Spectrum Spectra/Por dialysis membrane tubing, MWCO = 12 KDa).
Any impurity or precipitate was removed by a 0.22 μm syringe
filter. The final gold or platinum concentration of PEGylated Au-tripods
was measured by inductively coupled plasma mass spectrometry (ICP-MS)
analysis. Those NPs were further characterized with transmission electron
microscopy (TEM), UV–vis absorption spectroscopy, and dynamic
light scattering (DLS) (SI sections B.2,
B.3, B.5, and sections C.4, C.6).Conjugation of Au-tripods
with cRGD (RGD-Au-tripods) is described
in detail in the SI Sections A.5, C.6,
and C.7. Typically, The cross-linker solution, the water-soluble Au-tripods
(100 nM, 0.5 mL, 5 × 10–11 mol, see the determination
of concentrations of tripods and rods in SI section C.3) in 10 mM PBS (pH = 7.2) were incubated with the cross-linker
solution (sulfo-SMCC [0.5 mg, 1.5 μmol], was freshly prepared
in 15 μL of DMSO) for 2 h at room temperature. After removal
of excessive sulfo-SMCC and byproducts using a PD-10 column (GE Healthcare,
Piscataway, NJ), the resultant thiol-active Au-tripods were concentrated
to the final volume of 0.5 mL with a centrifugal-filter (Amicon centrifugal
filter device, MWCO = 30 kDa) and were incubated with the cRGDfC stock
solution (50 μL of 5 mM in the degassed water, 0.25 μmol,
the final RGD concentration in the mixture was 0.5 mM) with stirring.
The conjugation reaction proceeded for 24 h at 4 °C. After the
uncoupled RGD and byproducts were removed through PD-10 column, the
resultant product, RGD-Au-tripods, was concentrated by a centrifugal-filter
(Amicon centrifugal filter device, MWCO = 30 KDa) and stored at 4
°C for one month without losing targeting activity. The final
RGD-Au-tripods was reconstituted in PBS and filtered through a 0.22 μm
filter for cell and animal experiments. The gold and platinum concentrations
of RGD-Au-tripods were measured by ICP-MS analysis.The process
to conjugate the tripods with both RGD and NOTA was
similar to the conjugation of tripods and RGD, except that sulfo-SMCC
solution was mixed with NOTA aqueous solution in the first step before
being added into the tripod solution. Briefly, The sulfo-SMCC (0.5
mg, 1.5 μmol) was dissolved in 15 μL of DMSO and mixed
with 4.5 μL of p-SCN-Bn-NOTA solution in the water (33 mM, 0.15
μmol). The ratio of SMCC to NOTA was optimized according to
the specific activity of radioactive tracer-labeled NPs (SI section C.7).
Small Animal PET Imaging
PET imaging was carried out
on a microPET R4 rodent model scanner (manufactured by CTI Concorde
Microsystems, Knoxville, TN) as previously reported.[50−52] PET scans were performed at 1, 2, 4, 24, and 48 h post-injection
(p.i.). U87MG tumor-bearing mice were divided into several injection
groups (4 mice per each group) to evaluate differences in specific
targeting and biodistribution of Au-tripods and RGD modified tripods
(SI section A.5 and C.7). For the tripod
groups, each mice was injected with 3.7 MBq of 64Cu-RGD-Au-tripod
(200 pmol/kg of mouse body weight, or 2 mg/kg of mouse body weight,
normally 5 pmol per each mouse) in 100–200 μL PBS via
the tail vein. For the receptor-blocking experiment, U87MG tumor-bearing
mice were coinjected with 12 mg of c(RGDfC)/kg of mouse body weight
and 100–200 μL of 64Cu-RGD-Au tripod (200
pmol per kg mouse body weight) in PBS via the tail vein. Prior to
imaging, mice were anesthetized with isoflurane (5% for induction
and 2% for maintenance in house oxygen at 2 L/min). Mice (4 mice per
group) were placed in the prone position and near the center of the
field of view (FOV) of the scanner. The 5-min static scans were obtained
at the predetermined time points after post-injection. All the PET
images were then reconstructed by a two-dimensional ordered-subset
expectation maximization (OSEM) algorithm with a spatial resolution
of 1.66–1.85 mm.[53] PET quantifications
were analyzed using both AsiPro and Amide image processing software.
PET quantification details are included in the SI.
Au-Tripod-RGD Tumor Targeting in Living Mice
The custom-built
photoacoustic instrument was described previously and is shown in SI Figure S2.[54−56] The photoacoustic characterizations
of Au-tripods were further determined by NEXUS 128 (Endra, MI). Two
groups of female nude mice (n = 3 in each group,
6–8 weeks old) were inoculated subcutaneously at their right
hind side with 5 × 106 U87MG cells in 50 μL
of PBS. The tumors were allowed to grow to a volume of 150–200
mm3. The mouse was placed on its left side (left lateral
recumbent) and partially embedded in the agarose gel covered with
a water bath (SI Figure S2), and was then
scanned under the photoacoustic system. Before the injection, the
photoacoustic and ultrasound images of the mice were taken. A photoacoustic
image with lateral step size of 0.25 mm was acquired using the 5 MHz
transducer at 670, 700, and 725 nm wavelength. Following the photoacoustic
scan, an ultrasound image was acquired using the 25 MHz transducer.
The U87MG tumor-bearing mouse was then injected with 100–200
μL of RGD-Au-tripods (200 pmol per kg mouse body weight) in
PBS through the tail vein using a butterfly catheter to avoid any
position change during the injection (50 μL of dead volume)
(SI Figure S2B). For the receptor-blocking
experiment, mice were coinjected with 21 μmol of c(RGDfC)/kg
of mouse body weight and 100–200 μL of RGD-Au-tripods
(200 pmol per kg mouse body weight) in PBS through the tail vein.
After injection, photoacoustic images (20 mm × 20 mm) were acquired
at 670, 700, and 725 nm with step size of 0.25 mm and at 0.5, 1, 2,
and 4 h post-injection. Following the photoacoustic scan, the ultrasound
images were acquired to confirm the scan area. The photoacoustic and
ultrasound images were analyzed, coregistered, and displayed using
AMIDE software. Quantitative analysis of the photoacoustic signal
from the tumor was done by drawing three-dimensional ROIs around the
tumor on the basis of the ultrasound images. After 4 h post-injection,
the mice were sacrificed, and tumors and tissues of interest were
collected for TEM (SI section B.1), elemental
analysis (SI section B.5), and histology
study (SI section B.6).
Authors: Avnesh S Thakor; Richard Luong; Ramasamy Paulmurugan; Frank I Lin; Paul Kempen; Cristina Zavaleta; Pauline Chu; Tarik F Massoud; Robert Sinclair; Sanjiv S Gambhir Journal: Sci Transl Med Date: 2011-04-20 Impact factor: 17.956
Authors: Adam de la Zerda; Zhuang Liu; Sunil Bodapati; Robert Teed; Srikant Vaithilingam; Butrus T Khuri-Yakub; Xiaoyuan Chen; Hongjie Dai; Sanjiv Sam Gambhir Journal: Nano Lett Date: 2010-06-09 Impact factor: 11.189
Authors: Jelena Levi; Sri Rajasekhar Kothapalli; Te-Jen Ma; Keith Hartman; Butrus T Khuri-Yakub; Sanjiv Sam Gambhir Journal: J Am Chem Soc Date: 2010-08-18 Impact factor: 15.419