Natalia Feiner-Gracia1,2, Adrianna Glinkowska Mares1,2, Marina Buzhor3,4, Romen Rodriguez-Trujillo1,5, Josep Samitier Marti1,5,6, Roey J Amir3,4,7,8, Silvia Pujals1,5, Lorenzo Albertazzi1,2. 1. Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology (BIST), Carrer Baldiri Reixac 15-21, 08024 Barcelona, Spain. 2. Department of Biomedical Engineering, Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5612AZ Eindhoven, The Netherlands. 3. Department of Organic Chemistry, School of Chemistry, Faculty of Exact Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel. 4. Tel Aviv University Center for Nanoscience and Nanotechnology, Tel-Aviv University, Tel-Aviv 6997801, Israel. 5. Department of Electronic and Biomedical Engineering, Faculty of Physics, University of Barcelona, Carrer Martí i Franquès 1, 08028 Barcelona, Spain. 6. Networking Biomedical Research Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain. 7. BLAVATNIK CENTER for Drug Discovery, Tel-Aviv University, Tel-Aviv 6997801, Israel. 8. The ADAMA Center for Novel Delivery Systems in Crop Protection, Tel-Aviv University, Tel-Aviv 6997801, Israel.
Abstract
The performance of supramolecular nanocarriers as drug delivery systems depends on their stability in the complex and dynamic biological media. After administration, nanocarriers are challenged by physiological barriers such as shear stress and proteins present in blood, endothelial wall, extracellular matrix, and eventually cancer cell membrane. While early disassembly will result in a premature drug release, extreme stability of the nanocarriers can lead to poor drug release and low efficiency. Therefore, comprehensive understanding of the stability and assembly state of supramolecular carriers in each stage of delivery is the key factor for the rational design of these systems. One of the main challenges is that current 2D in vitro models do not provide exhaustive information, as they fail to recapitulate the 3D tumor microenvironment. This deficiency in the 2D model complexity is the main reason for the differences observed in vivo when testing the performance of supramolecular nanocarriers. Herein, we present a real-time monitoring study of self-assembled micelles stability and extravasation, combining spectral confocal microscopy and a microfluidic cancer-on-a-chip. The combination of advanced imaging and a reliable 3D model allows tracking of micelle disassembly by following the spectral properties of the amphiphiles in space and time during the crucial steps of drug delivery. The spectrally active micelles were introduced under flow and their position and conformation continuously followed by spectral imaging during the crossing of barriers, revealing the interplay between carrier structure, micellar stability, and extravasation. Integrating the ability of the micelles to change their fluorescent properties when disassembled, spectral confocal imaging and 3D microfluidic tumor blood vessel-on-a-chip resulted in the establishment of a robust testing platform suitable for real-time imaging and evaluation of supramolecular drug delivery carrier's stability.
The performance of supramolecular nanocarriers as drug delivery systems depends on their stability in the complex and dynamic biological media. After administration, nanocarriers are challenged by physiological barriers such as shear stress and proteins present in blood, endothelial wall, extracellular matrix, and eventually cancer cell membrane. While early disassembly will result in a premature drug release, extreme stability of the nanocarriers can lead to poor drug release and low efficiency. Therefore, comprehensive understanding of the stability and assembly state of supramolecular carriers in each stage of delivery is the key factor for the rational design of these systems. One of the main challenges is that current 2D in vitro models do not provide exhaustive information, as they fail to recapitulate the 3D tumor microenvironment. This deficiency in the 2D model complexity is the main reason for the differences observed in vivo when testing the performance of supramolecular nanocarriers. Herein, we present a real-time monitoring study of self-assembled micelles stability and extravasation, combining spectral confocal microscopy and a microfluidic cancer-on-a-chip. The combination of advanced imaging and a reliable 3D model allows tracking of micelle disassembly by following the spectral properties of the amphiphiles in space and time during the crucial steps of drug delivery. The spectrally active micelles were introduced under flow and their position and conformation continuously followed by spectral imaging during the crossing of barriers, revealing the interplay between carrier structure, micellar stability, and extravasation. Integrating the ability of the micelles to change their fluorescent properties when disassembled, spectral confocal imaging and 3D microfluidic tumor blood vessel-on-a-chip resulted in the establishment of a robust testing platform suitable for real-time imaging and evaluation of supramolecular drug delivery carrier's stability.
Supramolecular
nanocarriers, such as liposomes or micelles, are
broadly investigated as potential drug delivery systems (DDS) for
cancer therapy.[1,2] Since Doxil, a liposome-encapsulated
Doxorubicin, was approved in 1995,[3] the
therapeutic efficacy of many nanosystems with different chemical features
has been tested. However, low accumulation of the nanoparticles (NPs)
in the solid tumor is still a major issue[4] and one of the key reasons for failures in clinical trials. One
of the main challenges with the use of supramolecular nanocarriers
is to control their assembly−disassembly equilibrium, which
determines in vivo success. The exposure to physiological
environment affects the properties and decreases the number of fully
assembled NPs arriving to the target site.[5] Therefore, it is important to design nanosystems that are stable
once injected into the body, and “smart” to free up
the cargo when the target is reached.Right at the injection
site, the NPs are subjected to a high dilution,
interactions with serum proteins, and shear stress in a blood vessel,
which favor their disassembly and lead to premature drug release into
the bloodstream, causing systemic cytotoxicity or uncontrolled drug
distribution.[6−8] Internal walls of blood vessels are layered with
endothelial cells (ECs), connected by characteristic tight junctions,
which create a physical barrier, allowing the diffusion of only small
molecules.[9] Interactions with ECs membrane,
upon NPs extravasation, can further compromise their stability. Nowadays,
most of nanoparticles-based DDS rely on the enhanced permeability
and retention (EPR) effect.[10] During EPR,
the endothelial junctions are impaired, creating gaps that allow larger
molecules to leave the systemic circulation,[11] thus opening an escape route for the NPs.[12] Particles able to extravasate through the “leaky”
endothelial barrier (EB) arrive to the extracellular matrix (ECM)
and the cancer cells. The ECM can differ in pH and shear stress comparing
to the blood vessel,[13] and its components
can affect the NPs assembly equilibrium.[5] The predictability and understanding of the stability of supramolecular
assemblies within these changing conditions can pave the way to an
improved design of nanosystems to be translated into the clinics.Because of the difficulties in real-time monitoring of NPs in physiologically
relevant milieu, many aspects are not addressed when screening DDS
candidates. Recently, a Förster resonance energy transfer (FRET)
approach was used to follow the disassembly of supramolecular structures
in blood serum,[14−17] and in animal models,[18] by encapsulation
or covalent attachment of a FRET fluorophore pair into one micelle.
In our recent work, we employed PEG-Dendron amphiphiles that were
functionalized with a spectral-shifting coumarin to track the stability
of micelles in serum and cells.[19] These
micelles can self-report their disassembly by the change of their
fluorescent spectrum to the intrinsic emission of the labeling coumarin
dyes. The change in assembly was detected in complex media using spectral
imaging, enabling the NPs stability study in space and time. Nevertheless,
the in vitro assays consist mainly of 2D systems,
which despite being high throughput and rapid, do not provide complete
information reflecting the in vivo conditions.[20] In the last years, microfluidic 3D models have
been extensively used to study cancer cells migration,[22−25] vascularization and angiogenesis,[26−29] EB permeability,[30−32] impact of 3D cell architecture,[33−35] and tumor penetration.[34,36−38] Recently, more complex blood vessel models have been
designed to assess the differences in nanoparticles permeation in
various conditions,[13,30,31,39,40] demonstrating
an impact of cancer cells on the endothelial permeability. However,
in majority of them, only the intervals or the end time point of nanoparticles
incubation are reported, lacking the important time-resolved information.Herein, we address this challenge by combining a real-time spectral
confocal imaging of polymeric, self-reporting micelles, which are
perfused through tumor blood vessel model in a cancer-on-a-chip platform,
to map their stability when encountering biological barriers. By evolving
conventional 2D studies into more adequate 3D models,[33,41,42] we aim to expand our previous
work[19] and provide additional screening
before use of animal models.[21,43−45]
Results and Discussion
The System: Amphiphilic PEG-Dendron Micelles
and Microfluidic
Cancer-on-a-Chip
Three amphiphilic PEG-dendron hybrids, differing
by their lipophilic end-groups in the hydrophobic block, were synthesized
and characterized following the previously reported methodology;[19,46] the structures are shown in Figure a. The amphiphiles were labeled with a responsive dye,
7-diethylamino-3-carboxy coumarin, which forms an excimer when the
hybrids self-assemble into micelles, resulting in a red-shift of the
dye emission spectra, allowing to discriminate the assembled state
from the disassembled state, as shown in Figure a. The responsive properties of these micelles,
studied in the presence of serum proteins, HeLa cells, and at physiologically
relevant temperature (37 °C), have been previously demonstrated.[19] Here we study the stability of these nanostructures
in a cancer-on-a-chip platform and compare the results to the previously
reported behavior in 2D cell culture.
Figure 1
Schematic representation of the model.
(a) Molecular structure
of the amphiphilic PEG–dendron hybrid polymers (left). Fluorescence
emission graph for micelle–monomer equilibrium (right). In
magenta, monomer (fully disassembled structure) and in green (fully
assembled), micelle. (b) Schematic illustration of the top view of
the model, with the reconstructed barriers marked as (1–4),
two main regions (A, blood vessel channel and B, ECM model), and a
cross-section indicated by dashed line for the projection of panel
e. (c) 3D drawing of the microfluidic chip including inlets and outlets
of each channel. A and B indicate two main compartments of the model:
the blood vessel and ECM and the dashed-line marks area for the projection
of the view in panel d. (d) Top view illustration of the microfluidic
chip indicating the localization of the (A) blood vessel model channel
and the (B) ECM model. The channel A is under continuous perfusion
as schematically represented. (e) Cross-section illustration of the
model (A and B, blood vessel/ECM model channels, respectively) and
the scheme of the real-time imaging setup. (f) Zoom into the 3D representation
(from panel c) showing the perspective of the channels before and
after the complete model reconstruction. It illustrates how HUVECs
line the blood vessel model channel covering the pillars and the collagen
gel scaffold, forming a vertical endothelial barrier.
Schematic representation of the model.
(a) Molecular structure
of the amphiphilic PEG–dendron hybrid polymers (left). Fluorescence
emission graph for micelle–monomer equilibrium (right). In
magenta, monomer (fully disassembled structure) and in green (fully
assembled), micelle. (b) Schematic illustration of the top view of
the model, with the reconstructed barriers marked as (1–4),
two main regions (A, blood vessel channel and B, ECM model), and a
cross-section indicated by dashed line for the projection of panel
e. (c) 3D drawing of the microfluidic chip including inlets and outlets
of each channel. A and B indicate two main compartments of the model:
the blood vessel and ECM and the dashed-line marks area for the projection
of the view in panel d. (d) Top view illustration of the microfluidic
chip indicating the localization of the (A) blood vessel model channel
and the (B) ECM model. The channel A is under continuous perfusion
as schematically represented. (e) Cross-section illustration of the
model (A and B, blood vessel/ECM model channels, respectively) and
the scheme of the real-time imaging setup. (f) Zoom into the 3D representation
(from panel c) showing the perspective of the channels before and
after the complete model reconstruction. It illustrates how HUVECs
line the blood vessel model channel covering the pillars and the collagen
gel scaffold, forming a vertical endothelial barrier.In the cancer-on-a-chip model, we recapitulate the four important
barriers that the micelles will have to overpass when injected into
the body: (1) the flow of the blood vessel; (2) the endothelial barrier;
(3) the ECM; and (4) the tumor spheroid (Figure b). To recreate this environment in a microfluidic
platform, we used the 3D cell culture chip developed in Kamm’s
Lab and currently available commercially.[47] It consists of three microfluidic channels: the central channel
of 1.3 × 0.25 mm2 (w × h) and the two lateral
media channels of 0.5 × 0.25 mm2 (w × h), as
represented in Figures c and S1a. The middle channel is separated
from the two lateral channels by rows of triangular microposts distant
by 100 μm from one another, as shown in Figure c and f. These posts are designed to contain
the unpolymerized gel (spheroids + collagen) in the central channel,
by ensuring adequate surface tension, preventing gel leaks. In our
model, one of the lateral channels represents the blood vessel and
the middle channel recreates the ECM with embedded tumor spheroids
as shown in the Figure d. Human umbilical vein endothelial cells (HUVECs) seeded in the
lateral channel, lined it, and formed a lumen-like geometry, creating
a vertical endothelial wall on the collagen gel scaffold (Figure e,f).The created
EB separates the inner lumen of the blood vessel model
from the ECM channel, where we embedded preformed HeLa spheroids into
the Type 1 Collagen Gel (Figure f). The coculture of endothelial and cancer cells in
the same systems adds complexity to the model; therefore, growth kinetics
of HeLa cells and HUVECs were evaluated to determine the optimal medium
for the healthy growth of both cell lines (see Supporting Figure S2). Overall, we recreated elements of tumor
microenvironment in cancer-on-a-chip, where micelles stability can
be evaluated during unidirectional perfusion through the blood vessel
model channel. The parallel channel geometry of our platform enables
continuous imaging of the nanocarrier interactions with the indicated
barriers, as represented in Figure e. Once the tumor blood vessel model was recreated
(continuously perfused with cell culture medium at 37 °C and
5% CO2), the chip was placed in an optical confocal microscope,
at 37 °C, and reconnected to the perfusion system to track the
assembly state of Hybrids 1–4 (see
representation in Figure e and SI Supporting Videos).
Characterization
of Reconstructed Barriers in Microfluidic Cancer-on-a-Chip
Model
To validate our model, first we characterized the formation
of an endothelial barrier created in the lateral channel. The magnified
transmission image of the blood vessel channel and adjacent ECM channel
with embedded HeLa spheroid (Figures a and S3) demonstrates the
complete, prepared chip after 3 days of unidirectional medium perfusion.
HUVECs are present in both the upper and lower plane of the blood
vessel model, as shown in the transmission images of Figure b, and the formation of confluent
endothelial monolayer lining the lumen was further validated by fixing
and staining the cells, as shown in confocal image in Figure c and d, where actin (red),
nucleus (blue), and formation of tight junctions (green) can be observed.
The endothelial cell to cell contact results in the expression of
zonula occludens-1 (ZO-1) protein, which is essential to form these
junctions in a healthy endothelial barrier.[48] Moreover, 3D reconstruction of confocal imaging demonstrates the
presence of the EB between the microposts, on the gel scaffold (Figure d), physically separating
the lumen of the vessel from the ECM channel, mimicking the in vivo barrier. Additionally, HUVECs exhibited parallel
alignment to the flow direction as a result of the created shear stress[49,50] (Figure e). In contrast,
cells cultured in static conditions showed random filament organization,
as observed previously.[51] Finally, we tested
the structural integrity of the HUVECs barrier by measuring the retention
of fluorescently labeled 10 kDa Dextran, continuously perfused through
the endothelialized channel. The fluorescence signal was detected
in the lumen of the EB channel but not in the collagen gel (Figure f), indicating proper
functionality of the endothelial barrier. However, a low gradual penetration
of the Dextran into the ECM was observed after 30 min (Supporting Figure S4), similar to other reported studies.[47,52−54] Altogether, these measurements indicate the formation
of a functional EB with good structural integrity.
Figure 2
Functionality of the
endothelial barrier model. (a) Transmission
image showing complete tumor blood vessel-on-a-chip model with HUVECs
lined lateral channel (left part of the chip) and adhering ECM model
channel (right) with gel embedded HeLa spheroid. Scale bar 200 μm.
(b) Transmission image of the lower and upper plane of the blood vessel
model covered with confluent HUVECs monolayer. Scale bar 100 μm.
(c) Confocal image of HUVECs confluent monolayer (red, actin; blue,
nucleus; green, ZO-1). Scale bar 20 μm. (d) 3D reconstruction
of confocal image of vertically grown HUVECs layer on the scaffold
of collagen gel between the chip’s microposts (red, actin;
blue, nucleus; green, ZO-1); scale: axis ticks separation 40 μm,
blue triangles represent base of the microposts. (e) Confocal images
of actin stained (green) HUVECs in static (top) and perfused (bottom)
blood vessel model channel and graph of actin filaments organization,
demonstrating alignment under the flow and random orientation in static
culture. (f) Epifluorescent microscopy 3D reconstructed image of continuously
perfused 10 kDa Dextran through the endothelialized blood vessel model
channel at a time point 10 min. Scale bar 150 μm.
Functionality of the
endothelial barrier model. (a) Transmission
image showing complete tumor blood vessel-on-a-chip model with HUVECs
lined lateral channel (left part of the chip) and adhering ECM model
channel (right) with gel embedded HeLa spheroid. Scale bar 200 μm.
(b) Transmission image of the lower and upper plane of the blood vessel
model covered with confluent HUVECs monolayer. Scale bar 100 μm.
(c) Confocal image of HUVECs confluent monolayer (red, actin; blue,
nucleus; green, ZO-1). Scale bar 20 μm. (d) 3D reconstruction
of confocal image of vertically grown HUVECs layer on the scaffold
of collagen gel between the chip’s microposts (red, actin;
blue, nucleus; green, ZO-1); scale: axis ticks separation 40 μm,
blue triangles represent base of the microposts. (e) Confocal images
of actin stained (green) HUVECs in static (top) and perfused (bottom)
blood vessel model channel and graph of actin filaments organization,
demonstrating alignment under the flow and random orientation in static
culture. (f) Epifluorescent microscopy 3D reconstructed image of continuously
perfused 10 kDa Dextran through the endothelialized blood vessel model
channel at a time point 10 min. Scale bar 150 μm.Finally, we characterized the ECM central channel with gel
embedded
HeLa spheroids. The transmission microscopy allowed us to observe
the 3D spheroid conformation (Figure a) recapitulating aspects of geometry present in physiological
conditions. This arrangement implies less available surface area per
cell than in 2D cell culture models; it also alters cell proliferation
rate and its overall functionality.[20,34,55] The growth of prefomed spheroids, cocultured in the
perfused chip together with HUVECs, is demonstrated in Figure b. The spheroids with size
of 100 ± 50 μm were introduced into the chip, and after
3 days of culturing, they grew on average by 220% of their initial
size, as shown in graph of Figure c. HeLa viability was confirmed with a live/dead staining
assay, revealing that the cells were viable throughout the spheroid
after 3 days of culture (Figure d), indicating good nutrients and oxygen diffusion.
Given the size of our spheroid after 3 days, we expected to observe
high viability, as the phenomena of necrotic core development is reported
in the spheroids beyond 500 μm diameter.[56−59]
Figure 3
(a) Transmission image of collagen gel-embedded
HeLa cells conformed
into 3D spheroid. Scale bar 50 μm. (b) Transmission images demonstrating
proliferation of a gel-embedded spheroid from the preparation up to
3 days in perfused culture. Scale bar 100 μm. (c) Graph demonstrating
size progression of gel embedded spheroids after 1 and 3 days of perfused
culture, calculated based on diameter measured in 10 different chips,
average with standard error bars. (d) Confocal image of stained HeLa
spheroid with calcein (live cells: green) and Propidium iodide (dead
cells: red). Scale bar 50 μm.
(a) Transmission image of collagen gel-embedded
HeLa cells conformed
into 3D spheroid. Scale bar 50 μm. (b) Transmission images demonstrating
proliferation of a gel-embedded spheroid from the preparation up to
3 days in perfused culture. Scale bar 100 μm. (c) Graph demonstrating
size progression of gel embedded spheroids after 1 and 3 days of perfused
culture, calculated based on diameter measured in 10 different chips,
average with standard error bars. (d) Confocal image of stained HeLa
spheroid with calcein (live cells: green) and Propidium iodide (dead
cells: red). Scale bar 50 μm.Overall, we adapted a microfluidic platform to a 3D dynamic tumor
microenvironment, including a perfusable blood vessel model, and cancer
cells conformed into spheroid.
Increased Extravasation
of Micelles Is Induced in Tumor Blood
Vessel Model
Having established our tumor blood vessel-on-a-chip
model, we investigated the ability of the micelles to penetrate the
EB into the ECM channel. Previous studies using microfluidic models
reported enhanced permeability of endothelial cells when exposed to
specific molecules, such as TNF-α[39] or when cocultured with cancer cells,[31] leading to the formation of “leaky vessels”, representing
one of the features of the EPR effect. However, most of these microfluidics
models were used for studying only the selected or final time point
of nanoparticles penetration. Herein, taking advantage of the characteristics
of the chip, we could continuously monitor the perfusion of our micelles
in three different experimental conditions: (i) no HUVECs (nonendothelialized
lateral channel) as negative control; (ii) HUVECs barrier (healthy
endothelialized blood vessel model), and (iii) HUVECs barrier with
HeLa spheroids embedded in the ECM (tumor blood vessel model).First, we tested the micelle ability to cross the EB, perfusing the
hybrid 1 into the three models (i–iii) and quantifying
the fluorescence intensity, in the blood vessel model and ECM part,
as plotted for the i–iii in Figure a. A constant amount of the fluorescence
was immediately detected in the collagen gel in case of lack of the
EB (i), which demonstrates that our NPs freely diffuse through the
ECM.[5] On the contrary, the majority (>90%)
of hybrid 1 was retained in the healthy blood vessel
model channel (ii) for more than 30 min of continuous perfusion. Meanwhile,
a gradual diffusion of the hybrid into the ECM was observed in the
tumor blood vessel model (iii). These results indicate that the HUVECs
monolayer in the healthy model fulfills the barrier function and limits
the hybrid penetration into the ECM. However, this function is affected
by presence of HeLa spheroids in the gel. Our observations resemble
experiments performed by Tang and co-workers where coculture of cancer
endothelial cells with breast cancer cells increased the permeation
of nanoparticles through the EB.[31]
Figure 4
Extravasation
of PEG-dendron hybrids in nonendothelialized, healthy
and cancer models. (a) Confocal image of hybrid 1 extravasation in
a (i) control chip (no EB), (ii) a healthy model, and (iii) cancer
model. The images show emitted intensity between 446 and 700 nm, which
include both the monomer and micelle signal. Scale bar 100 μm.
Quantification of the normalized micelle fluorescence intensity measured
in a rectangular area between two neighboring posts, indicating the
penetration from the blood vessel model channel into the ECM part,
plotted for the i–iii models. Vertical dotted line indicates
the localization of the EB. (b) Confocal image of hybrid 4 (monomer) extravasation in the three corresponding models. Scale
bar 100 μm. Quantification of the normalized monomer fluorescence
intensity, measured in a rectangular area between two neighboring
posts, indicating the hybrid 4 penetration from the blood
vessel model channel into the ECM part, plotted for the i–iii
models. Vertical dotted line indicates the localization of the EB.
(c) Confocal image of HUVECs monolayer lining the healthy (left) and
cancer (right) blood vessel channel model. Actin (red) and ZO-1 (green).
Scale bar 20 μm. Quantification of the fluorescence intensity
over the two marked rectangular areas indicated in the images (on
the left). The spikes in the healthy model (yellow) originated from
higher expression of ZO-1 in contrast to lower expression in the cancer
model (green).
Extravasation
of PEG-dendron hybrids in nonendothelialized, healthy
and cancer models. (a) Confocal image of hybrid 1 extravasation in
a (i) control chip (no EB), (ii) a healthy model, and (iii) cancer
model. The images show emitted intensity between 446 and 700 nm, which
include both the monomer and micelle signal. Scale bar 100 μm.
Quantification of the normalized micelle fluorescence intensity measured
in a rectangular area between two neighboring posts, indicating the
penetration from the blood vessel model channel into the ECM part,
plotted for the i–iii models. Vertical dotted line indicates
the localization of the EB. (b) Confocal image of hybrid 4 (monomer) extravasation in the three corresponding models. Scale
bar 100 μm. Quantification of the normalized monomer fluorescence
intensity, measured in a rectangular area between two neighboring
posts, indicating the hybrid 4 penetration from the blood
vessel model channel into the ECM part, plotted for the i–iii
models. Vertical dotted line indicates the localization of the EB.
(c) Confocal image of HUVECs monolayer lining the healthy (left) and
cancer (right) blood vessel channel model. Actin (red) and ZO-1 (green).
Scale bar 20 μm. Quantification of the fluorescence intensity
over the two marked rectangular areas indicated in the images (on
the left). The spikes in the healthy model (yellow) originated from
higher expression of ZO-1 in contrast to lower expression in the cancer
model (green).Interestingly, we hypothesized
that the ∼10% of the hybrid
detected in the ECM of the healthy model (ii) could originate from
the infiltration of the monomer (disassembled form ∼6–7
kDa, assembled micelle ∼20 nm), small enough to pass through
the healthy EB.[47,60] To investigate this further,
we perfused hydrophilic hybrid 4, which has four hydroxyl
end-groups (does not self-assemble into micelles),[19] into the same three models (i–iii) as hybrid 1. As expected, Figure b shows that the monomer penetrated the ECM instantly in the
control (i) and the cancer (iii) models, but some infiltration into
the ECM was also observed in the healthy (ii) one. Specifically, HUVECs
barrier partially retained the monomer for 25 min of continuous perfusion,
limiting its concentration in the gel to less than 40% of its intensity
in the perfused channel. It is worth noting that after 5 min of perfusion,
the hybrid 4 could already be detected in the gel of
the healthy blood vessel model (Supporting Figure S6). However, the penetration into the ECM was far more significant
and immediate in the HeLa cells cocultured chip. Overall, we hypothesize
that the monomer form can gradually cross into the ECM region of the
healthy blood vessel model due to its small size, permitting the paracellular
transport.We visually determined the morphological effect of
coculturing
cancer cells on the structural integrity of the endothelial monolayer
to understand if a loss of EB integrity was the reason for the increased
micelles permeation into the ECM in the cancer model. Tight and adherent
junctions are the crucial structural elements formed between endothelial
cells, regulating paracellular diffusion and restricting the permeation
of molecules bigger than ∼2 nm.[61] To confirm that the enhanced permeability of the EB in our model
was induced by the presence of HeLa spheroids, we prepared the chips
as mentioned previously, and after 3 days of medium perfusion, the
cells were fixed, ZO-1 protein stained, and quantified as shown in Figure c and Supporting Figure S7. ZO-1 was clearly and uniformly
expressed between HUVECs of the healthy model; however, the expression
was reduced in the HeLa spheroids cocultured model. It indicated that
cancer cells impacted the HUVEC cell–cell interaction and the
tight junction formation, therefore explaining the enhanced permeability
in our cancer models. Similar findings were reported by Kaji et al.,[62] where HUVEC and HeLa coculture affect the endothelial
cells growth through the direct cell–cell contact as well as
transmission of information via culture medium (paracrine communication).
In that study, the cytokines excreted by HeLa repulsed HUVECs and
released reactive oxygen species, which led to malfunction and death
of HUVECs, resulting in leakiness of the EB. However, it is worth
noting that in our study there was a certain heterogeneity in the
permeation of micelles out of the tumor blood vessel model. We observed
that small variations in the number of spheroids (or their distribution)
affect the EB retention capacity, potentially resulting in a variable
concentration of signaling molecules (see Supporting Discussion). These observations may be reflecting one of the
key features of the EPR effect, of which the heterogeneity has been
extensively discussed recently, and attributed to the stage of the
diseases.[63]
Time- and Space-Resolved
Micelle Stability Revealed in 3D Tumor
Microenvironment Model
The aim of our work was to study the
stability of our micellar systems when introduced into the microfluidic
3D model. Previously the micelles and monomer were detected in the
presence of serum proteins and their internalization pathway identified
thanks to their self-reporting capabilities compatible with confocal
fluorescence microscopy.[19] Herein, we hypothesized
that the added complexity and dynamicity of the blood vessel model
may induce premature disassembly due to multiple interactions. To
evaluate these critical interactions, we continuously perfused micelles
of hybrid 1 (the most stable system), in full culture
medium at 15 μL/min and 37 °C into the blood vessel model
channel. During perfusion, we continuously monitored the micelles’
stability in key regions: the blood vessel model channel, the endothelial
barrier, the ECM, and the HeLa spheroids, providing real-time stability
information as shown in Figure and the Supporting Videos.
Figure 5
Space and time-resolved
stability of hybrid 1. Representative
images, selected from the 10 repetitions of experiments within hybrid 1 in the tumor blood vessel model. (a) Ratiometric confocal
images of real-time monitored micelle (green) and monomer (magenta)
at reconstructed barriers (1, blood vessel model channel; 2, HUVECs
barrier; 3, ECM; 4, HeLa spheroid) during continuous perfusion of
the hybrid 1, scale bar 15 μm. Relevant time points
were selected for representative purposes. (b) Time-resolved intensity
of fluorescence signal (A.U) originating from the sum of both: micelle
and monomer channels at each barrier (1–4) of the presented
images. (c) Normalized ratio of fluorescence signal between micellar
and monomer form monitored in time at different barriers. Green dashed
line indicates the ratio of fully formed micelles in equilibrium,
and the magenta dashed line indicates the ratio of fully disassembled
(monomer) form.
Space and time-resolved
stability of hybrid 1. Representative
images, selected from the 10 repetitions of experiments within hybrid 1 in the tumor blood vessel model. (a) Ratiometric confocal
images of real-time monitored micelle (green) and monomer (magenta)
at reconstructed barriers (1, blood vessel model channel; 2, HUVECs
barrier; 3, ECM; 4, HeLa spheroid) during continuous perfusion of
the hybrid 1, scale bar 15 μm. Relevant time points
were selected for representative purposes. (b) Time-resolved intensity
of fluorescence signal (A.U) originating from the sum of both: micelle
and monomer channels at each barrier (1–4) of the presented
images. (c) Normalized ratio of fluorescence signal between micellar
and monomer form monitored in time at different barriers. Green dashed
line indicates the ratio of fully formed micelles in equilibrium,
and the magenta dashed line indicates the ratio of fully disassembled
(monomer) form.In the first minutes of perfusion,
fluorescence was detectable
only in the blood vessel model channel (Figures a,b) and indicated the presence of assembled
micelles (Figure c).
Hybrid penetration into the depth of the ECM was observed over time.
After 15 min of continuous flow, the hybrid started to reach the EB,
and we could observe that the disassembled form prevailed in passing
through the wall and entering the ECM by detecting the monomer emission
(magenta). After 25 min, we observed the assembled form traversing
the EB, while the deep penetration into ECM was still achieved mostly
by the disassembled polymers. This observation could be attributed
to two factors: (i) the micelles progressively overcame the endothelial
barrier or (ii) the monomer form, which entered the ECM through the
EB previously, accumulated, and reached the critical micelle concentration
(CMC), reassembling into micelles. Figure b demonstrates that both, micelle and monomer,
coexist at the EB and in the ECM with the mean ratio 0.6 and 0.4,
respectively. The assembled structures were detected in the surroundings
of the spheroids after more than half an hour of the continuous perfusion.
Surprisingly, after 1 h, we observed only weak penetration of the
hybrid 1 into the depth of the HeLa spheroids, similarly
to 2 h of constant perfusion (Supplementary Figures S8 and S9). In our previous 2D cell internalization studies,
the hybrids were detected inside the cell already after 10 min; meanwhile,
in the current work, only a small fraction of the disassembled form
was detected in the outer layer of the spheroid.Interestingly,
we observed a stabilization of monomer/micelle equilibrium
in the monitored regions after 1 h from the beginning of the perfusion,
except for the spheroid area. Hybrid 1, detected as a
monomer in contact with HeLa cells, was a contrasting observation
comparing to our previously reported internalization behavior in 2D
cell cultures, where the assembled hybrid 1 was taken
up by HeLa cell via endocytosis, and its disassembly progressed in
time.[19] This discrepancy can be attributed
to the spheroid form of the HeLa, promoting different endocytosis
process, favored in the new 3D cells confluency and conformation.
Other works, highlighting the importance of going beyond 2D cell culture
models, investigated the penetration of nanosystems into tumor spheroids
as a function of nanocarrier size, shape, charge, and functionalization.[36,64,65] Likewise, the penetration of
cross-linked and non-cross-linked micelles has been compared, showing
an improved result for the cross-linked (more stable) ones.[66−68] Therefore, we hypothesized that the lower spheroid penetration in
our model can be caused by a premature disassembly in the periphery
of the spheroid leading to a different outcome than reported in the
2D static monoculture. It underlines the importance of model selection
in rational evaluation and optimization of supramolecular systems
for drug delivery.
Stability of Hybrids Dictates Their Infiltration/Extravasation
Finally, we investigated the interplay between molecular structure,
micellar stability, and their ability to extravasate. Therefore, we
compared the stability of three hybrids, with decreasing length of
the hydrophobic end-groups, from hybrid 1 to hybrid 3. In our previous 2D studies, we demonstrated that the hybrid 1 was stable in the presence of serum proteins and upon dilution;
meanwhile, the stabilities of hybrid 2 and 3 were similar when diluted with serum; however, their disassembly
kinetics were significantly different. While hybrid 3 disassembled rapidly upon dilution, hybrid 2 needed
hours to reach equilibrium.To understand how these differences
in thermodynamics and kinetic stability are reflected in a more complex
model, we perfused each hybrid solution (in full culture media) through
the blood vessel model channel during at least 30 min. In Figure , we show representative
images, demonstrating observations for the sets of hybrid–cancer
model experiments, where an individual chip was perfused only with
one hybrid. We chose two different areas of each chip-hybrid set,
taking the distance of the HeLa spheroid to the HUVECs barrier as
the selection criterium, to illustrate the different behavior we observed.
HeLa spheroids less than 400 μm from the EB were considered
as “close” to HeLa and EB regions at a radius of at
least 1 mm were considered as regions “far” from HeLa,
as reported in Figure and Supporting Figure S10. We observed
extravasation of all hybrids 1–3 through
the EB when HeLa spheroids were located close to HUVECs (Figure b). However, in the
distant regions (far HeLa), only hybrid 3 (which has
the least hydrophobic dendron) was able to significantly extravasate
to the ECM. Thus, we concluded that the endothelial barrier “leakiness”
can be heterogeneous, depending on the amount, distance, and distribution
of tumor spheroids in the ECM.
Figure 6
Stability of hybrids 1–3, perfused
through a tumor blood vessel models with different EB distance to
the HeLa spheroid (close: < 400 μm, far: > 1 mm). (a)
Ratiometric
confocal images of the different hybrids perfused through the chip
in two regions. Hybrids 1 and 2 are shown
at two different time points: less than 15 min and after 30 min of
continuous perfusion; hybrid 3 demonstrated at one time
point due to its rapid penetration through the EB. Scale bar 75 μm.
(b) Summed up fluorescence intensity originating from the monomer
and the micelle channels. Intensity was measured in the blood vessel
model channel and in the ECM region. (c) Normalized ratio of fluorescence
signal between micellar and monomer form for each hybrid and in each
region. Green dashed line indicates the ratio of fully formed micelles
in equilibrium, and the magenta dashed line indicates the ratio of
fully disassembled (monomer) form.
Stability of hybrids 1–3, perfused
through a tumor blood vessel models with different EB distance to
the HeLa spheroid (close: < 400 μm, far: > 1 mm). (a)
Ratiometric
confocal images of the different hybrids perfused through the chip
in two regions. Hybrids 1 and 2 are shown
at two different time points: less than 15 min and after 30 min of
continuous perfusion; hybrid 3 demonstrated at one time
point due to its rapid penetration through the EB. Scale bar 75 μm.
(b) Summed up fluorescence intensity originating from the monomer
and the micelle channels. Intensity was measured in the blood vessel
model channel and in the ECM region. (c) Normalized ratio of fluorescence
signal between micellar and monomer form for each hybrid and in each
region. Green dashed line indicates the ratio of fully formed micelles
in equilibrium, and the magenta dashed line indicates the ratio of
fully disassembled (monomer) form.Monitoring stability of these three hybrids (Figure a and c, and Supporting
Videos) was based on the ratios between the emitted intensity
of the coumarin dye at 480 and 550 nm (the disassembled and assembled
state respectively). Hybrid 1 appeared as a micelle in
the blood vessel model channel, with mean ratio of fluorescence signal
between the both forms equal to 1 (indicative of the micelle), while
slight disassembly of hybrid 2 and significant disassembly
of hybrid 3 were observed, with mean ratios of 0.8 and
0.5, respectively. Our previous study showed that hybrids 2 and 3 were slightly unstable in the presence of serum
proteins, but their degree of disassembly based on the fluorescent
ratio was equal. Therefore, we hypothesized the enhanced disassembly
of hybrid 3 is not only due to interactions with serum
proteins but also caused by the perfusion. This result indicates that
the flow-induced shear stress can drastically affect the stability
of supramolecular nanocarriers.Furthermore, we monitored the
stability of each hybrid at the previously
defined barriers and observed significant differences among them.
Interestingly, in regions far from spheroids, only the monomeric form
of hybrid 3 was able to efficiently extravasate. This
phenomenon could occur due to the increased disassembly of the micelle
in contact with the HUVEC barrier, which allowed the monomer to (i)
paracellularly extravasated due to its small size or (ii) transcellularly
cross the EB. In contrast to that, hybrid 3 crossed the
EB in the semiassembled state in the regions close to HeLa (as it
appeared in the blood vessel channel), probably due to the disappearance
of the tight junctions in the HUVEC barrier. On the other hand, the
extravasation of hybrid 2 in regions close to HeLa had
a time-dependent response; first only monomer crossed the EB and the
micelles were detected in the ECM after more than 30 min. Finally,
we observed that hybrid 1 behaves similarly to the hybrid 2, where monomer molecules extravasated first, followed by
the later penetration of the assembled micelles. Interestingly, while
hybrids 2 and 3 rapidly accumulated in the
endothelial barrier only as a monomer, hybrid 1 monomeric
form accumulated at the EB only in areas far away from the HeLa cells.
Previously, in 2D cell culture, hybrids 3 and 2 internalized as monomer, and the hybrid 1 internalized
as a micelle and disassembled over time.[19] Overall, we could correlate the interplay between stability of the
micelles and their performance in a 3D model as well as their ability
to extravasate and reach the cancer cell regions.
Conclusions
In the present work, we combined spectral
confocal imaging and
a microfluidic cancer-on-a-chip model as a new approach to study the
stability of supramolecular nanocarriers. The fluorescence properties
of our micelles allowed tracking of their assembly state across the
changing conditions of the reconstructed elements of tumor microenvironment.The results show the formation of functional endothelial barrier
in a lumen of the blood vessel model and appearance of leaky vasculature
in the coculture with cancer cells. The permeable endothelial wall
displays heterogeneity, dependent on the number and distance of HeLa
spheroids, resembling to some extent the in vivo pathologies
of many tumors.We obtained a precise and direct information
about the performance
and stability of the micelles in each of the barriers, thanks to the
time and space-resolved imaging. We reported the ability of the most
stable hybrids 1 and 2 to extravasate from
the blood vessel model as assembled micelles, while the shear stress
and interactions with the EB induced disassembly of the hybrid 3. Therefore, we believe these two micelles are the best candidates
to be used as DDS in vivo. However, we observed the
loss of stability of hybrid 1 in proximity of the spheroids,
as well as a poor penetration into its depth, which indicated a need
for improvement to achieve good in vivo efficacy.Our approach, combining spectrally responsive supramolecular structures
with a cancer-on-a-chip platform, has the capacity to provide new
knowledge about nanoparticles performance, stability, and accumulation
in tumor, which is essential to bridge the gap between in
vitro and in vivo testing of new drug delivery
systems.
Materials and Methods
Microfluidic Device and Setup
Microfluidic
3D culture
chip DAX-1 (AIM Biotech) was used as a platform to reconstruct tumor
microenvironment (blood vessel model channel and ECM with embedded
spheroids). LUC-1 connectors (AIM Biotech) were used to connect the
chip inlets with luer connector ended PTFE tubing to facilitate the
continuous perfusion. The other end of the tubbing was connected to
a syringe placed in a double syringe pump (Nexus Fusion 200) and filled
with HUVEC (EndoGRO, Millipore) basal medium, used to constantly perfuse
the chip for 48–72 h.
Cells and Reagents
Human umbilical
vein endothelial
cells (Promocell) were used to recreate blood vessel lining in the
blood vessel model channel, and HeLa cells were used in to create
tumor spheroids. HUVECs were cultured in EndoGRO Basal medium (Millipore)
supplemented with SCME001 kit (EndoGRO-LS Supplement 0.2%, rh EGF
5 ng/mL, ascorbic acid 50 μg/mL, l-glutamine 10 mM,
hydrocortisone hemisuccinate 1 μg/mL, heparin sulfate 0.75 U/mL,
FBS 2%), and penicillin/streptomycin 1% (Biowest). HeLa cells were
cultured in Dulbecco’s modified Eagle medium (DMEM, as received
with l-glutamine, 4.5 g/L d-glucose and pyruvate,
Gibco) supplemented with FBS 5% (Gibco) and penicillin/streptomycin
1% (Biowest). HUVECs were cultured in 75 cm2 flasks and
HeLa in 25 cm2 flasks at 37 °C and 5% CO2. Cells were harvested using trypsin-EDTA (0.25%, Gibco) when they
reached 70–80% confluence.
Cell Culture in the Microfluidic
Device
Collagen gel
at concentration of 2.5 mg/mL was prepared, introduced, and polymerized
according to the general protocol v5.3 (AIM Biotech). In brief, Rat
tail collagen Type I (Corning Life Science) was mixed on ice with
10x PBS (Sigma-Aldrich) and Phenol Red (Sigma-Aldrich), and the pH
of the mixture was adjusted to 7.4 using 0.5 M NaOH (NaOH in pellets
PanReac dissolved in MiliQ water); final volume was adjusted with
MiliQ water (for healthy model) or with suspension of HeLa clusters
(for cancer model).For preparation of the cancer model, microfluidic
chip HeLa cells were seeded into a 96-well ultralow attachment plate
(Corning) at 0.5–1.5 k cells/well and cultured for 72 ±
24 h. Formed cell spheroids were harvested, centrifuged, and resuspended
in previously prepared collagen gel, resulting in few clusters (of
100 ± 50 μm) per 10 μL of the gel at the concentration
of 2.5 mg/mL. Prepared collagen was inserted into the central channel
of 3D culture chip and allowed to polymerize during 30 min at 37 °C
and 5% CO2. After gel polymerization, one of the lateral
channels was prepared for HUVECs culture by coating the channel with
50 μg/mL fibronectin (FN) from bovine plasma (Sigma-Aldrich)
for 2 h at 37 °C and 5% CO2. The remaining lateral
channel was filled in with DMEM (HeLa culture medium) and closed using
luer caps.After the incubation time, the FN was washed away
using 1x PBS
(Gibco) and EndoGRO HUVEC medium. HUVECs were seeded in the prepared
lateral channel at a density of 2.5–3.5 M cells/mL. The 3D
culture chip was flipped upside down to allow cell adhesion to the
upper plane for 1.5–2.5 h at 37 °C and 5% CO2. A second batch of HUVECs cultured in another flasks was harvested
and introduced to the same lateral channel at the same concentration
as previously. The cells were then incubated for minimum 2 h at 37
°C and 5% CO2 in the upright position to allow their
attachment to the lower plane. Next, the chip was perfused with EndoGRO
HUVEC medium at a flow rate 3–5 μL/min for 48–72
h (as described above) until HUVECs reached confluency.
Hybrids Perfusion
Setup
Hybrids 1–4 were prepared
at a concentration of 480 μM in filtered
PBS, sonicated for 5 min, and let to equilibrate for at least 10 min.
Prior to hybrid flowing into the chip, they were mixed with full EndroGRO
HUVEC medium resulting in final concentration of 160 μM.The microfluidic chip was placed into the on-stage incubator of a
Zeiss LSM 800 confocal microscope at a temperature of 37 °C and
5% CO2, and connected to peristaltic pump (Ismatec, Reglo
Digital, ISM597) with a silicone tubing (Tygon, Kinesis) to perfuse
hybrids during real-time imaging at 15 μL/min. Hybrids were
excited using a 405 nm laser, and emission spectra were collected
using two different PMT detectors to detect both monomer and micelle
separately and simultaneously. The windows of detection were set as
follows: (i) monomer 446–500 nm and (ii) micelle 500–700
nm. Ratiometric images were obtained from dividing the micelle image
by the monomer image after a mask was applied to each image where
noise was removed.To calculate the amount of hybrid able to
extravasate, we first
summed up the signal of both windows. Next, we calculated the mean
intensity signal of the vessel channel and used this value as the
maximum concentration. Next the mean intensity signal of the gel channel
was calculated and divided by the maximum signal concentration.
Dextran Perfusion
The 10 kDa Dextran labeled with AlexaFluor568
(Thermo Fisher Scientific) was diluted in HUVEC (EndoGRO) medium at
a final concentration of 1 μg/mL. The solution was perfused
into the blood vessel model channel at a flow rate of 5 μL/min
using the syringe pump. The perfusion of dextran was monitored using
Nikon Eclipse Ti2 epifluorescent microscope. The chip was placed in
the on-stage incubator (OKOlab) at a temperature of 37 °C and
5% CO2, the perfused fluorophore was excited at 525 nm,
and the emission was collected at 650 nm.
HeLa Spheroid Viability
Assay
The viability of HeLa
cells within the spheroids was evaluated using Calcein (Fluka, Sigma-Aldrich)
and propidium iodide (Sigma-Aldrich) to stain live and dead cells,
respectively. First, cells were incubated with 10 μM Calcein
solution for 20 min at 37 °C and 5% CO2. Next, the
cells were incubated with 10 μg/mL propidium iodide solution
for 5 min at 37 °C and 5% CO2 and then washed with
1x PBS (Sigma-Aldrich). The imaging was performed using a Zeiss LSM
800 confocal microscope. The Calcein and propidium iodide stained
spheroids were excited at laser wavelength of 488 and 561 nm, respectively,
and detection windows set at 400–600 nm for Calcein and 600–700
nm for propidium iodide. The 3D image was reconstructed (ZEN, confocal
microscope software) from slices acquired in a Z-stack mode with a
plane interval of 1,5 μm.
Immunostaining, Labeling,
and Confocal Microscopy (Confocal
Imaging Labeling)
Cells in the microfluidic chip were washed
with 1x PBS (Gibco) and fixed with 4 wt % solution of paraformaldehyde
(PFA, Sigma-Aldrich) in 1x PBS. After 10 min, and the fixative was
washed away with 1x PBS, cells were permeabilized for 10 min with
0.1% solution of Triton X-100 (Sigma-Aldrich) in 1x PBS and exposed
for 1 h to a 3% bovine serum albumin (BSA, Sigma-Aldrich) blocking
solution in 1x PBS.Next, the HUVECs’ tight junctions
were stained using 5 μg/mL ZO-1 (Zonula Occludens-1) monoclonal
antibody conjugated with Alexa Fluor 488 (Thermo Fisher Scientific)
solution in previously prepared 3% BSA during O/N incubation at 4
°C. In the next step, the cells were washed with 3% BSA solution
and incubated with 1x Phalloidin-iFluor594 (Abcam, stock 1000x) solution
(in 1% BSA) for 30 min at RT to stain actin filaments. The cell nuclei
were stained after washing the cells with 1x PBS, using Hoechst 33258
stain at concentration 5 μg/mL. After 10 min of incubation at
RT, the cells were washed with 1x PBS and imaged at RT using a Zeiss
LSM 800 confocal microscope. Nuclei, tight junctions, and actin were
excited using a 405 nm, 488 nm, and 561 nm laser, respectively. The
3D images were acquired scanning the sample in a Z-stack mode, with
an acquisition plane each 1 to 10 μm and later reconstructed
into 3D image using the ZEN (confocal microscope) software.To calculate the orientation of actin filaments in static versus
dynamic conditions, two independent chips were prepared as explained;
however, one of the chips was incubated in static conditions, with
medium change every 24 h; meanwhile, the other was continuously perfused
with cell medium. After 72 h, the cells were fixed and actin stained,
and confocal images of actin were acquired using Zeiss LSM 800. The
images were analyzed using the OrientationJ plugin of ImageJ to obtain
the distribution of the orientation’s graphs.
Authors: Ioannis K Zervantonakis; Shannon K Hughes-Alford; Joseph L Charest; John S Condeelis; Frank B Gertler; Roger D Kamm Journal: Proc Natl Acad Sci U S A Date: 2012-08-06 Impact factor: 11.205
Authors: Rachit Agarwal; Patrick Jurney; Mansi Raythatha; Vikramjit Singh; Sidlgata V Sreenivasan; Li Shi; Krishnendu Roy Journal: Adv Healthc Mater Date: 2015-09-16 Impact factor: 11.092