Damien V B Batchelor1, Radwa H Abou-Saleh1,2, P Louise Coletta3, James R McLaughlan3,4, Sally A Peyman1,3, Stephen D Evans1. 1. Department of Physics and Astronomy, University of Leeds, Leeds, U.K. 2. Department of Physics, Mansoura University, Mansoura, Egypt. 3. Leeds Institute of Medical Research, Wellcome Trust Brenner Building, St. James's University Hospital, Leeds, U.K. 4. School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.
Abstract
Because of their size (1-10 μm), microbubble-based drug delivery agents suffer from confinement to the vasculature, limiting tumor penetration and potentially reducing the drug efficacy. Nanobubbles (NBs) have emerged as promising candidates for ultrasound-triggered drug delivery because of their small size, allowing drug delivery complexes to take advantage of the enhanced permeability and retention effect. In this study, we describe a simple method for production of nested-nanobubbles (Nested-NBs) by encapsulation of NBs (∼100 nm) within drug-loaded liposomes. This method combines the efficient and well-established drug-loading capabilities of liposomes while utilizing NBs as an acoustic trigger for drug release. Encapsulation was characterized using transmission electron microscopy with an encapsulation efficiency of 22 ± 2%. Nested-NBs demonstrated echogenicity using diagnostic B-mode imaging, and acoustic emissions were monitored during high-intensity focused ultrasound (HIFU) in addition to monitoring of model drug release. Results showed that although the encapsulated NBs were destroyed by pulsed HIFU [peak negative pressure (PNP) 1.54-4.83 MPa], signified by loss of echogenicity and detection of inertial cavitation, no model drug release was observed. Changing modality to continuous wave (CW) HIFU produced release across a range of PNPs (2.01-3.90 MPa), likely because of a synergistic effect of mechanical and increased thermal stimuli. Because of this, we predict that our NBs contain a mixed population of both gaseous and liquid core particles, which upon CW HIFU undergo rapid phase conversion, triggering liposomal drug release. This hypothesis was investigated using previously described models to predict the existence of droplets and their phase change potential and the ability of this phase change to induce liposomal drug release.
Because of their size (1-10 μm), microbubble-based drug delivery agents suffer from confinement to the vasculature, limiting tumor penetration and potentially reducing the drug efficacy. Nanobubbles (NBs) have emerged as promising candidates for ultrasound-triggered drug delivery because of their small size, allowing drug delivery complexes to take advantage of the enhanced permeability and retention effect. In this study, we describe a simple method for production of nested-nanobubbles (Nested-NBs) by encapsulation of NBs (∼100 nm) within drug-loaded liposomes. This method combines the efficient and well-established drug-loading capabilities of liposomes while utilizing NBs as an acoustic trigger for drug release. Encapsulation was characterized using transmission electron microscopy with an encapsulation efficiency of 22 ± 2%. Nested-NBs demonstrated echogenicity using diagnostic B-mode imaging, and acoustic emissions were monitored during high-intensity focused ultrasound (HIFU) in addition to monitoring of model drug release. Results showed that although the encapsulated NBs were destroyed by pulsed HIFU [peak negative pressure (PNP) 1.54-4.83 MPa], signified by loss of echogenicity and detection of inertial cavitation, no model drug release was observed. Changing modality to continuous wave (CW) HIFU produced release across a range of PNPs (2.01-3.90 MPa), likely because of a synergistic effect of mechanical and increased thermal stimuli. Because of this, we predict that our NBs contain a mixed population of both gaseous and liquid core particles, which upon CW HIFU undergo rapid phase conversion, triggering liposomal drug release. This hypothesis was investigated using previously described models to predict the existence of droplets and their phase change potential and the ability of this phase change to induce liposomal drug release.
Chemotherapy,
in combination with surgery or radiotherapy, is one of the primary
treatment methods for malignant tumors and can significantly increase
patient survival rates. However, treatment efficacy is currently limited
by the negative side effects and drug resistance present during systemic
delivery.[1] The ability to target and locally
deliver chemotherapeutics would help to reduce toxic side effects
but also increase drug efficacy and treatment effectiveness. Drug-loaded
liposomes, such as Doxil and Onivyde, reduce the exposure of healthy
tissues to drug and are currently approved for clinical use. However,
because of the lack of a triggered release mechanism in addition to
hepatic and renal clearance, drug efficacy is not maximized.[2] Methods for triggering release using mechanical
and thermal approaches such as ultrasound (US)[3] and near-infrared lasers[4] are currently
being developed for improving controlled local release. The use of
US is appealing because of its widespread availability, noninvasive
nature and potential for image guidance during treatment. US imaging
utilizes high-frequency sound waves that propagate through the tissue,
using the back-scattered waves to construct an image. Microbubbles
(MBs) are commonly used as ultrasound contrast agents (UCAs) because
of their high acoustic impedance mismatch with the surrounding tissue,
while their size of 1–10 μm allows facile circulation
through the vasculature. MB stability is enhanced by using high-molecular-weight,
low-solubility gases such as perfluorocarbons[5] or sulfur hexafluoride (SF6),[6] as well as a coating, typically a phospholipid monolayer, a protein,
or a polymer.[7−9] Recently, research has focused on the potential use
of MBs as theranostic agents.[10,11] MBs driven by an US
field can enhance sonoporation in cell membranes, which has been shown
to increase drug uptake.[9,12−14] Therapeutics can be incorporated with MBs in multiple ways including
therapeutic gas,[15] direct attachment of
drugs to the lipid shell,[16] and attachment
of drug-filled liposomes,[17−19] which can be released by increasing
the US intensity. Surface functionalization of the MB shells can be
used to provide molecular targeting[17] and
improved stealth properties.[20] However,
to increase tumor biodistribution and take advantage of the enhanced
permeation and retention effect provided by the leaky vasculature,
the drug delivery complex should be <400 nm.[21,22] As such, nanobubbles (NBs), submicron bubbles of typically 200–600
nm in diameter,[23,24] are an attractive prospect for
drug delivery and have shown increased tumor accumulation and retention
compared to MBs.[25,26] We have previously reported the
production and characterization of NBs using microfluidics[27] with others using methods such as mechanical
agitation and sonication.[28−30] The inverse relationship between
Laplace pressure and bubble radius leads to predicted lifetimes on
the order of microseconds.[31,32] In spite of this, NBs
have demonstrated remarkable stability,[27,33,34] which has raised speculation as to their physical
state and the nature of stabilization.[31,32,35,36] NBs provide US contrast
enhancement at frequencies below their resonance and hence provide
promise for diagnostic use.[37,38] Further, they have
also been used for the delivery of therapeutics either by co-delivery[39] or by direct incorporation of their payload.[26,29,40,41]In this paper, we introduce Nested-Nanobubbles (Nested-NBs)
as submicron US-triggered drug delivery vehicles. Nested-NBs consist
of an outer liposomal shell containing both the encapsulated drug
payload and one or more NBs that can act as internal nuclei for an
US-triggered release. The NBs were produced using microfluidics[27] and encapsulated together with calcein within
liposomes via thin-film rehydration. Encapsulation of NBs was demonstrated
using transmission electron microscopy (TEM), and Nested-NB echogenicity
was characterized using clinical B-mode ultrasound imaging, which
subsequently decreased after the high-intensity focused ultrasound
(HIFU) trigger. Nested-NBs were loaded with calcein to act as a model
drug, and for pulsed HIFU exposures, no release was observed. However,
the use of a continuous wave (CW) US exposure triggered calcein release
for a free-field peak negative pressure (PNP) ranging from 2.01 ±
0.10 MPa to 3.90 ± 0.10 MPa. Our results suggest that the release
mechanism is a synergistic effect of mechanical and thermal stimuli
and that our NB populations contain a mixture of particles, both their
gaseous and liquid phases, the latter of which undergo a low-pressure
phase change. This drug delivery vehicle provides the acoustic diagnostic
properties of NBs combined with the therapeutic advantages offered
by liposomes and with the additional benefit of an external triggered
release mechanism.
Methods
Microfluidic Production of NBs and MBs
NBs and MBs
were prepared from a mixture of DPPC (1,2-dipalmitoyl-sn-glycero-3-phosphocholine) and DPSE-PEG2000 (1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[methoxy(polyethylene
glycol)-2000]) in a 95:5 molar ratio and a total lipid concentration
of 2 mg/mL (Avanti Polar Lipids, AL, USA). Lipids were dissolved in
a 1:1 mixture of chloroform and methanol and dried under nitrogen
to remove the solvent and subsequently resuspended in phosphate-buffered
saline (PBS) solution containing 1% (v/v) glycerol. The lipid solution
was then combined with C4F10 (PFB) gas in a
multiplexed microspray microfluidic device for bubble production as
described in Peyman et al.[27]
NB Isolation
NBs were passively isolated from MBs via
flotation because of intrinsic MB buoyancy. A spherical bubble in
a medium has an ascension velocity described by the Hadamard–Rybczynski
equation (eq ).[42] For a PFB bubble with a radius of 1 μm,
it would take 47 min to travel 1 cm. For a bubble in the same medium
with a radius of 75 nm, it would take 840 min to travel the same distance
and as such can be regarded as neutrally buoyant. After 1 h, a syringe
and a fine needle were used to remove the NB sample from the bottom
of the vial and subsequently filtered through a 800 nm polytetrafluoroethylene
(PTFE) membrane to remove any large bubbles.where U is the ascension velocity, g is the gravitational acceleration (9.81 ms–1), R is the radius, Δρ is the difference in density
between the medium and the core, μ is the dynamic viscosity
of water (8.9 × 10–4 Pa s), and μ′
is the dynamic viscosity of C4F10 (1.2 ×
10–5 Pa s).
NB Size
and Concentration Determination
Nanoparticle
Tracking Analysis
Single-particle tracking was used to analyze
NB populations using the NanoSight nanoparticle tracking analysis
(NTA) (NanoSight NS300, Malvern Panalytical, UK). Samples were illuminated
with a 488 nm laser, and individual particles were tracked using NTA
3.3 software. The samples were diluted (1:1000) in PBS prior to measurement,
and measurements were repeated in triplicate.
Resonant Mass Measurement
Resonant mass measurement
(RMM) (Archimedes, Malvern Panalytical, UK) was used to demonstrate
and analyze the populations of positively buoyant (bubbles) and negatively
buoyant particles in NB solutions. Archimedes was equipped with a
MicroH sensor capable of measuring particle diameters between 150
and 5000 nm and precalibrated with 1 μm polystyrene beads (ThermoScientific
Microsphere Size Standards 4010A). The samples were diluted (1:500)
in PBS prior to measurements. During the measurement, the NB sample
was loaded initially for 120 s and analyzed at pressures of 3, 2,
and 3 psi for determining the sample, reference, and experiment values.
The limit of detection was set to 25 mHz to provide consistency for
all measurements. Particle densities were set to 0.0112 and 1.3 g/mL
for positively buoyant and negatively buoyant particles, respectively,
corresponding to the density of PFB gas and lipid vesicles.[43]
Liposome and Nested-NB
Production
A combination of DSPC (1,2-distearoyl-sn-glycero-3-phosphocholine),
cholesterol, and DSPE-PEG2000 was dried under nitrogen in round-bottom
flasks in a 63:32:5 molar ratio at a total lipid concentration of
15 mg/mL. The lipid film was resuspended in either PBS buffer for
liposome production or with NBs at the stock concentration for Nested-NB
production and rehydrated via stirring for 1 h. For calcein loading,
the solution pH was adjusted using 10 M NaOH to pH 10.5, and calcein
was added to a final concentration of 100 mM prior to rehydration.
Rehydrated lipid solution was homogenized via extrusion by passing
through a 400 nm PTFE membrane. Free calcein and NBs were removed
via centrifugation at 17,000g for 20 min and washed
with PBS; centrifugation and washing were repeated once (Scheme ).
Scheme 1
Preparation of Nested-NBs
by Isolation of NBs via Buoyancy, Thin-Film Rehydration of a Lipid
Film and Cleaning via Centrifugation
Transmission Electron Microscopy
For TEM,
samples were prepared in a phosphate-free buffer, and 5 μL of
the sample was pipetted onto glow-discharged carbon grids. After 30
s of incubation, the sample was washed with buffer, and 5 μL
of 1% uranyl acetate was added for 30 s, then removed, and left to
air-dry. Images were taken at a range of magnifications ranging from
11,000 to 46,000× using a transmission electron microscope (FEI
Tecnai T12, USA). Images were analyzed manually using ImageJ (NIH,
USA) to determine the particle diameter.
Encapsulation
and Release Efficiency
Fluorescence spectroscopy was used
to quantify the release of calcein from within Nested-NBs and liposomes
from ultrasound exposures. Because of the high concentration of encapsulated
calcein within the liposomes, calcein fluorescence was initially quenched.
However, when released from the liposome into the bulk medium, calcein
concentration decreases and fluorescence subsequently unquenches.
Nested-NB and liposome samples were diluted (1:25) in PBS to increase
the sensitivity of the fluorescence assay. Sample fluorescence was
measured using a microplate reader (SpectraMax M2E, Molecular Devices,
USA) with excitation and emission wavelengths of 460 and 515 nm, respectively.
Nested-NB and LS sample fluorescence was measured for nonexposed samples
(negative control), exposed samples, and samples lysed with 0.1% Triton-X
(positive control) to calculate the percentage of calcein released
from the samples. Percentage release was calculated by eq , where FLHIFU, FL+control, and FL–control are the fluorescence
intensities for HIFU-exposed, positive, and negative control samples,
respectively.
Ultrasound Imaging
B-mode diagnostic US
images of NB and Nested-NB populations were produced using a 3–8
MHz linear array probe (V-Scan, GE Healthcare, IL, USA). The samples
were imaged in a wall-less agar flow phantom, produced by mixing 3%
of mass agar and 8% of mass glycerol with degassed water.[44] The mixture was heated in a microwave and manually
stirred intermittently until a homogenous solution was produced. The
mixture was poured into a three-dimensional printed mold containing
a 4 mm outer diameter tube and left to cool. The tube was removed
after the agar had set, and Luer lock fittings were attached for sample
loading. Mean grayscale intensity (MGI) of B-mode images was calculated
in the region of interest (ROI) using MATLAB (Mathworks Inc, USA).
HIFU and Passive Cavitation Detection
A
single-element HIFU transducer was used for US-mediated NB destruction.
A 1.1 MHz center frequency HIFU transducer (H-102, Sonic Concepts,
USA) was used for all HIFU experiments. The transducer was connected
to a +55 dB power amplifier (A300, E&I Ltd, USA) via an impedance
matching circuit. A computer-controlled function generator (33220A,
Agilent, USA) was used to provide sinusoidal burst cycles to the transducer.
The free-field pressure was measured using a membrane hydrophone (Precision
Acoustic Ltd, Dorchester, UK) with a 400 μm sensitive element,
calibrated by the National Physics Laboratory (Middlesex, UK).[45] All pressures stated are based from their free-field
calibrations with errors of ±0.1 MPa. The HIFU transducer was
coupled to the sample using a coupling cone containing degassed Milli-Q
water. A TTL digital delay pulse generator (9524, Quantum Composers,
MT, USA) was used to synchronize the HIFU pulse and data acquisition
system. A broad-band-focused detection (Y-102, Sonic Concepts, WA,
USA) was positioned in the central aperture of the HIFU transducer
and coaligned with its focal region. It was connected to a 5 MHz high
pass filter (Allen Avionics, USA) and a 40 dB preamplifier (Spectrum
GmbH, Germany). A 14-bit data acquisition (DAQ) card (M4i.4420-x8,
Spectrum GmbH, Germany) was used to record acoustic emissions. A desktop
PC was used to control all hardware and postprocessing using MATLAB.
For each HIFU pulse, 163 μs of cavitation data was recorded
and fast Fourier transformed into the frequency domain. Frequency
data were comb-filtered to remove harmonics, leaving only broad-band
emissions.[46] Additionally, the inverse
comb filter was applied to remove broad-band emissions, leaving only
ultraharmonic emissions. Data were recorded for 0.5 s on either side
of the 5 s HIFU exposure with initial values before HIFU was used
as a noise baseline. To maximize the magnitude of acoustic emissions,
the concentrations of Nested-NBs and liposomes were maintained as
high as possible while remaining constant between the two samples
at 1.56 × 1011 particles/mL.
Results and Discussion
NB Characterization
NBs were produced using the microfluidic microspray approach and
separated from the MBs by floatation of the MBs and collection of
the subnatent. NB populations were characterized using three separate
techniques: NTA, RMM, and TEM. Using NTA, the NB concentration and
size, measured across five sample preparations, were found to be 5.79
± 0.66 × 1011/mL, with a modal size of 106 ±
4 nm (Figure a). NBs
were also analyzed using RMM (Figure b), a technique that can distinguish between positively
buoyant particles (i.e., ones that are less dense than the solution)
and negatively buoyant particles (i.e., denser than the solution).
RMM also measures the size and concentration of the positively and
negatively buoyant particles. The average concentrations and sizes
measured from three separate samples were found to be 1.17 ±
0.68 × 109/mL and 3.54 ± 1.20 × 109/mL with respective modal sizes of 212 ± 12 nm and 321 ±
32 nm for the positively and negatively buoyant particles, respectively
(Figure b). The negatively
buoyant population likely consists of a combination of lipid particles
that were not converted into bubbles as well as potentially containing
PFB droplets, which due to their small size have condensed from a
gas into liquid PFB droplets. However, the limit of detection of the
RMM system was around 200 nm, thus failing to determine the nature
of the particles, making up the largest contribution to the NTA data
circa 100 nm. Additionally, NBs were imaged using TEM, and their size
distribution was analyzed. A total of 252 NBs across 31 images were
counted, and their sizes were analyzed, demonstrating a log-normal
distribution with a size of 120 ± 48 nm (Figure c), with a representative TEM image shown
in Figure d. A small
proportion of <100 nm particles was measured via TEM, again likely
to be lipid vesicles or PFB droplets below the detection threshold
for both NTA and RMM analyses. Comparison between the three measurement
techniques used shows agreement between both NTA and TEM results,
in terms of their respective modal sizes and the population distributions.
However, for RMM, the limit of detection is higher than that of the
modal particle size; thus, a large proportion of the NB population
is likely missing. Notwithstanding this, RMM is still useful for confirming
the presence of submicron bubbles, as opposed to just particles.
Figure 1
Characterization
of NBs using (a) NTA, (b) RMM showing both [b(i)] positively and [b(ii)]
negatively buoyant particles, and (c) TEM with a representative image
shown in (d).
Characterization
of NBs using (a) NTA, (b) RMM showing both [b(i)] positively and [b(ii)]
negatively buoyant particles, and (c) TEM with a representative image
shown in (d).NBs were imaged using B-mode imaging
(3–8 MHz broad band, linear array, MI = 0.8) using a flow phantom
to assess their echogenicity at clinically relevant imaging parameters.
The NB concentration was measured via NTA and diluted to concentrations
of ∼109 to 1011 NBs/mL–1 to determine contrast enhancement across a range of concentrations.
MGI of the B-mode images was measured in the ROI of the flow phantom
(as shown in Figure a(i)) for each concentration and showed a linear increase in MGI
with increasing concentration (Figure a(ii)). It is also notable that the MI used for this
experiment was larger than that typically used for micron-scale UCAs
(<0.3), as greater than this typically induces MB destruction.
However, NBs were stable during imaging experiments.
Figure 2
[a(i)] Representative
clinical frequency B-mode (3–8 MHz linear array, MI = 0.8)
images of NBs and PBS in a flow phantom and [a(ii)] change in MGI
for NBs with varying concentrations. (b) MGI of B-mode images of the
NB sample after application of HIFU with varying PNP. (c) Concentration
of negatively buoyant and positively buoyant particles before and
after HIFU exposure at a PNP of 4.83 MPa with 1% duty cycle, measured
via RMM.
[a(i)] Representative
clinical frequency B-mode (3–8 MHz linear array, MI = 0.8)
images of NBs and PBS in a flow phantom and [a(ii)] change in MGI
for NBs with varying concentrations. (b) MGI of B-mode images of the
NB sample after application of HIFU with varying PNP. (c) Concentration
of negatively buoyant and positively buoyant particles before and
after HIFU exposure at a PNP of 4.83 MPa with 1% duty cycle, measured
via RMM.NBs were also exposed to HIFU,
and the B-mode MGI was measured prior to and post-exposure to determine
whether NB destruction had been achieved. The PNP was varied between
1.06 and 6.75 MPa using a PRF of 1 kHz and 1% duty cycle for a total
of 5 s. MGI decreased exponentially with increasing pressure reaching
a minimum MGI after exposure at 4.83 MPa (Figure b). NB destruction was also demonstrated
using RMM, where positively buoyant particle concentration decreased
by an order of magnitude, from 4.38 × 108 to 3.24
× 107 NBs/mL after HIFU exposure. The negatively buoyant
particle concentration remained unchanged (Figure c). Full population distributions before
and after HIFU exposure are shown in Figure S1.
Nested-NB Production and Characterization
Nested-NBs were produced by passive encapsulation of the NBs inside
the phospholipid liposomes. Calcein loaded at a concentration to give
self-quenching was also encapsulated to simulate a model small-molecule
drug. After encapsulation, free calcein and small particles (<200
nm), believed to be a combination of both unencapsulated NBs and empty
liposomes, were removed by centrifugation, as described in Section . The population
distribution of the Nested-NBs post-cleaning is shown in Figure a. After cleaning,
the Nested-NBs mean size increased from 182.6 ± 0.2 to 318.9
± 7.1 nm, and there was a concomitant decrease in concentration
from 1.82 ± 0.09 × 1012 to 2.45 ± 0.10 ×
1011 particles/mL (Figure S2). Additionally, after cleaning, the MGI of B-mode images of Nested-NBs
decreased from 30.5 ± 1.9 to 11.3 ± 0.7 as would be expected
with the removal of free NBs (Figure S3).
Figure 3
Nested-NB population distribution measured by (a) NTA and (b) TEM,
showing distribution for both the Nested-NB and the encapsulating
liposome. (c,d) Representative TEM images of Nested-NBs showing two
individual Nested-NBs and a larger field of view, respectively.
Nested-NB population distribution measured by (a) NTA and (b) TEM,
showing distribution for both the Nested-NB and the encapsulating
liposome. (c,d) Representative TEM images of Nested-NBs showing two
individual Nested-NBs and a larger field of view, respectively.The efficiency of NB encapsulation, within Nested-NBs,
was determined using TEM. A total of 124 individual liposomes were
analyzed across 38 images, with 22 ± 2% of liposomes encapsulating
single or multiple NBs. On an average, each Nested-NB contained 1.29
± 0.01 NBs. The Nested-NB size distribution measured via TEM
is shown in Figure b, with populations for both their outer liposomal shell and encapsulated
NBs analyzed. Representative images are shown in Figure c,d, demonstrating clear encapsulation
of a nesting particle within an outer liposomal shell. Population
distributions followed a normal distribution with modal sizes of nesting
particles and liposomes at 140 ± 69 and of 251 ± 130 nm,
respectively.
US-Triggered Release
Nested-NBs were exposed to HIFU to provide a mechanism for triggered
NB destruction and subsequent payload release. Initially, Nested-NBs
and liposome-only controls were insonated at free-field PNPs of 1.54,
2.96, and 4.83 MPa for a total of 5 s with duty cycles of either 1
or 50%. The release profiles are shown in Figure a,b respectively. At these exposure parameters,
no significant calcein release was observed from Nested-NBs compared
to liposome-only controls. To determine whether these exposures were
inducing destruction of the encapsulated NBs, Nested-NBs were imaged
using B-mode ultrasound before and after HIFU exposure. Nested-NBs
initially demonstrated echogenicity, which after insonation at 4.83
MPa at 50% duty cycle decreased by 92.4 ± 5.6% from 60.3 ±
2.4 to 4.6 ± 0.8 (a.u.), suggesting NB destruction (Figure b inset).
Figure 4
Release profiles
for Nested-NBs and liposome controls after ultrasound exposure at
PNPs ranging from 1.54 to 4.83 MPa at (a) 1% duty cycle and (b) 50%
duty cycle. Inset: MGI of B-mode imaging of Nested-NBs before and
after HIFU exposure at 4.83 MPa at 50% duty cycle.
Release profiles
for Nested-NBs and liposome controls after ultrasound exposure at
PNPs ranging from 1.54 to 4.83 MPa at (a) 1% duty cycle and (b) 50%
duty cycle. Inset: MGI of B-mode imaging of Nested-NBs before and
after HIFU exposure at 4.83 MPa at 50% duty cycle.The lack of observed release from HIFU-mediated NB destruction
led us to further investigate the interaction between Nested-NBs and
the applied HIFU field. Passive cavitation detection (PCD) was used
to observe acoustic emissions during insonation. Nested-NB, liposome,
and PBS samples were each exposed to HIFU at the previously described
parameters. Acoustic emissions were converted into the frequency domain
by fast Fourier transform and the magnitude of the broad-band noise
and ultraharmonic emissions were determined to quantify the occurrence
of inertial cavitation (bubble destruction) and stable cavitation
(bubble oscillation). Because of the high PNP, NB destruction was
expected to occur during the initial pulse cycles of the HIFU exposure.
To quantify the change in the magnitude of acoustic emissions over
time, broad-band and ultraharmonic emissions were cumulatively integrated
with increasing pulse number and then normalized per pulse. Full temporal
emissions for the whole exposure duration are shown in Figure S4. For both broadband (Figure a) and ultraharmonic (Figure b) emissions, Nested-NBs
demonstrate increased activity at the beginning of the exposure, which
decreased with increasing pulse number to the value found for nonacoustically
active liposomes. This suggests that the NBs present initially in
the Nested-NB sample provide an increase in both broadband and harmonic
emissions, as NBs undergo stable and inertial cavitation. As the HIFU
exposure progresses, the broadband and harmonic emissions decrease
until eventually by the end of the exposure. The Nested-NB and liposome
samples are indistinguishable from each other, with no NBs remaining.
This is also in agreement with the near-total loss of contrast shown
by B-mode imaging (Figure b). Both Nested-NB and liposome samples demonstrated increased
broadband and harmonic emissions compared to a PBS control, likely
due to nonacoustically active liposomes providing cavitation nuclei.
The relatively high value of the PBS control can be attributed to
a combination of both cavitation induced within the solution and acoustic
reflections from the sample holder because of the relatively high
PNP. Because of the lack of release observed from Nested-NBs, it is
possible that the detected inertial cavitation is occurring in the
bulk solution or that the encapsulated NBs are being destroyed but
not capable of inducing drug release.
Figure 5
(a) Normalized broadband emissions and
(b) normalized ultraharmonic emissions measured using PCD during insonation
at 4.83 MPa and 50% duty cycle for Nested-NBs, liposomes, and PBS
samples. Data show the acoustic emissions integrated over the number
of pulses and then normalized per pulse.
(a) Normalized broadband emissions and
(b) normalized ultraharmonic emissions measured using PCD during insonation
at 4.83 MPa and 50% duty cycle for Nested-NBs, liposomes, and PBS
samples. Data show the acoustic emissions integrated over the number
of pulses and then normalized per pulse.By changing the modality of the HIFU exposure from pulsed to CW,
we found that Nested-NBs showed calcein release for PNPs ranging from
2.01 to 3.90 MPa with an exposure time of 5 s. Figure a shows the release profiles for both Nested-NBs
(solid) and liposomes (hashed). The amount of release increased with
increasing PNP for both samples up to a maximum Nested-NB release
of 52.9 ± 10.3% with a corresponding liposome-only release of
35.3 ± 9.2%. Considering only the difference in release between
Nested-NBs and liposomes, a maximum difference of 26.2 ± 10.3%
was achieved at 2.96 MPa (Figure b). The difference in release is comparable to the
encapsulation efficiency of NBs within Nested-NBs (22 ± 2%),
which would suggest that the efficacy of release of the Nested-NB
is approaching 100%. Increasing the PNP further led to a decrease
in the difference in the release profiles. For the Nested-NB sample,
any release observed above that of the NB encapsulation efficiency
would likely be attributed to thermally induced release. Additionally,
because no release was previously observed with pulsed HIFU exposures
(Figure ), the ability
of CW HIFU to induce release is helpful in identifying the release
mechanism. Although NBs are present in the Nested-NB sample, RMM (Figure b) identified that
79 ± 4% of the population concentration consists of negatively
buoyant particles. As such, it is reasonable to assume that a similar
proportion of encapsulated particles within the Nested-NBs would be
negatively buoyant. Additionally, because the modal size of encapsulated
particles (∼140 nm) is less than the limit of detection of
RMM (∼200 nm), the existence of bubbles of this size cannot
be confirmed. Because of the inverse relationship between the Laplace
pressure and bubble radius (eq ), in addition to the density of the PFB gas core used in
our experiments, it is increasingly likely that as particle size decreases,
a subpopulation of PFB droplets would exist.where ΔP is the pressure difference between
the inside and outside of the particle, σ is the surface tension
of the interface, and r is the particle size.
Figure 6
(a) Release
profile of Nested-NBs and liposome controls after CW HIFU exposure
at PNPs ranging from 2.01 to 3.90 MPa. (b) Difference in the release
of Nested-NBs compared to liposome controls.
(a) Release
profile of Nested-NBs and liposome controls after CW HIFU exposure
at PNPs ranging from 2.01 to 3.90 MPa. (b) Difference in the release
of Nested-NBs compared to liposome controls.The bulk boiling point of PFB is −1.7° C; however, confinement
into either a bubble or a droplet will elevate this boiling temperature
because of the associated pressure increase. This elevation can be
described by the Clausius–Clapeyron relation modified to include
the Laplace effect as given in eq .[47]where T1 is the elevated
boiling temperature, T0 is the boiling
point (271.4 K) at atmospheric pressure P0 (101.3 kPa), Mw is the molecular weight
of PFB (238.03 g/mol), ΔvapH is
the enthalpy of vaporization (100 kJ/kg), σ is the surface tension,
and rd is the droplet radius.The
predicted elevated boiling temperature for PFB particles of varying
diameter is shown in Figure a for surface tensions ranging from 5 to 20 mN/m, covering
expected values for fluorocarbon droplets and bubbles.[49] For PFB particles at room temperature with diameters
between 100 and 200 nm, the majority of particles lie below the vaporization
curve and would be expected to exist as liquid droplets. Previous
work in our group has also shown that our NB sample experiences a
rapid increase in size, measured via dynamic light scattering, when
heated above a threshold temperature of 57 °C, suggesting the
occurrence of a phase transition from liquid to gas.[27] This transition temperature matches closely to the predicted
value in Figure a
for a surface tension of 10–15 mN/m. Additionally, we see that
the predicted vaporization temperature for these values lies within
the range of temperatures measured during our CW HIFU release exposures
(Figure S5), supporting the hypothesis
of a phase-change release trigger.
Figure 7
(a) Vaporization temperature of a PFB
droplet with varying surface tension calculated using the Clausius–Clapeyron
relationship (Eq ).
(b) Predicted final bubble diameter after vaporization of a PFB droplet
comparing three models documented from ref.[48]
(a) Vaporization temperature of a PFB
droplet with varying surface tension calculated using the Clausius–Clapeyron
relationship (Eq ).
(b) Predicted final bubble diameter after vaporization of a PFB droplet
comparing three models documented from ref.[48]To determine whether droplet vaporization
would be capable of inducing liposomal drug release, a model developed
by Evans et al.[48] was used to predict the
expected diameter increase of the resultant bubble post-vaporization.
There are three models with increasing complexity, which we have labeled
elementary, developed, and intermediate. Briefly, the developed model
accounts for a change in solubility of the core after vaporization,
whereas the elementary model neglects this. The intermediate model
adds additional complexity by assuming partial equilibration of the
core with a surrounding region around the particle. The predicted
bubble size postvaporization is shown in Figure b for all the three models, assuming a droplet
surface tension of σd = 10 mN/m and bubble surface
tension of σb = 20 mN/m. For droplets of 100–200
nm diameter, all models produced similar results with an expected
bubble diameter postvaporization of >300 nm, that is, larger than
the modal size of our encapsulating liposomes, which suggests that
this expansion is capable of releasing the encapsulated payload.
Conclusions
This study demonstrated the diagnostic
and therapeutic potential of Nested-NBs. Perfluorobutane (PFB) NBs
were co-loaded with the model drug into liposomes of less than 300
nm in diameter. The resultant Nested-NBs displayed good echogenicity
at clinically relevant imaging frequencies (3–8 MHz). The triggered
release was investigated using continuous and pulsed HIFU. Pulsed
HIFU led to NB destruction but did not lead to significant drug release.
In contrast, CW HIFU produced drug release across a range of PNPs.
We can understand our observations if, at room temperature, our Nested-NBs
contain a mix of both encapsulated PFB NBs and PFB droplets. During
CW HIFU, the sample temperature was also found to increase above a
predicted threshold such that the PFB droplets underwent a phase change
from the liquid to gas state. The subsequent increase in their diameter,
by a factor of 3, led to liposome rupture and drug release. Thus,
Nested-NBs have both diagnostic potential, providing contrast enhancement
for clinically relevant ultrasound frequencies, and the ability to
trigger drug release through the vaporization of PFB droplets.
Authors: Klazina Kooiman; Miranda Foppen-Harteveld; Antonius F W van der Steen; Nico de Jong Journal: J Control Release Date: 2011-04-14 Impact factor: 9.776
Authors: Sally A Peyman; Radwa H Abou-Saleh; James R McLaughlan; Nicola Ingram; Benjamin R G Johnson; Kevin Critchley; Steven Freear; J Anthony Evans; Alexander F Markham; P Louise Coletta; Stephen D Evans Journal: Lab Chip Date: 2012-11-07 Impact factor: 6.799
Authors: Reshani H Perera; Hanping Wu; Pubudu Peiris; Christopher Hernandez; Alan Burke; Helen Zhang; Agata A Exner Journal: Nanomedicine Date: 2016-08-23 Impact factor: 5.307
Authors: Christopher Hernandez; Lenitza Nieves; Al C de Leon; Rigoberto Advincula; Agata A Exner Journal: ACS Appl Mater Interfaces Date: 2018-03-15 Impact factor: 9.229