Erika Yan Wang1, Naimeh Rafatian2,3, Yimu Zhao4, Angela Lee5, Benjamin Fook Lun Lai1, Rick Xingze Lu1, Danica Jekic6, Locke Davenport Huyer1,4, Ericka J Knee-Walden1, Shoumo Bhattacharya5, Peter H Backx2,3,7, Milica Radisic1,3,4. 1. Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada. 2. Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada. 3. Toronto General Research Institute, Toronto, Ontario M5G 2C4, Canada. 4. Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario M5S 3E5, Canada. 5. RDM Division of Cardiovascular Medicine and Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom. 6. McGill University, Montreal, Quebec H3A 2K6, Canada. 7. Department of Biology, York University, Toronto, Ontario M3J 1P3, Canada.
Abstract
Myocardial fibrosis is a severe global health problem due to its prevalence in all forms of cardiac diseases and direct role in causing heart failure. The discovery of efficient antifibrotic compounds has been hampered due to the lack of a physiologically relevant disease model. Herein, we present a disease model of human myocardial fibrosis and use it to establish a compound screening system. In the Biowire II platform, cardiac tissues are suspended between a pair of poly(octamethylene maleate (anhydride) citrate) (POMaC) wires. Noninvasive functional readouts are realized on the basis of the deflection of the intrinsically fluorescent polymer. The disease model is constructed to recapitulate contractile, biomechanical, and electrophysiological complexities of fibrotic myocardium. Additionally, we constructed a heteropolar integrated model with fibrotic and healthy cardiac tissues coupled together. The integrated model captures the regional heterogeneity of scar lesion, border zone, and adjacent healthy myocardium. Finally, we demonstrate the utility of the system for the evaluation of antifibrotic compounds. The high-fidelity in vitro model system combined with convenient functional readouts could potentially facilitate the development of precision medicine strategies for cardiac fibrosis modeling and establish a pipeline for preclinical compound screening.
Myocardial fibrosis is a severe global health problem due to its prevalence in all forms of cardiac diseases and direct role in causing heart failure. The discovery of efficient antifibrotic compounds has been hampered due to the lack of a physiologically relevant disease model. Herein, we present a disease model of humanmyocardial fibrosis and use it to establish a compound screening system. In the Biowire II platform, cardiac tissues are suspended between a pair of poly(octamethylene maleate (anhydride) citrate) (POMaC) wires. Noninvasive functional readouts are realized on the basis of the deflection of the intrinsically fluorescent polymer. The disease model is constructed to recapitulate contractile, biomechanical, and electrophysiological complexities of fibrotic myocardium. Additionally, we constructed a heteropolar integrated model with fibrotic and healthy cardiac tissues coupled together. The integrated model captures the regional heterogeneity of scar lesion, border zone, and adjacent healthy myocardium. Finally, we demonstrate the utility of the system for the evaluation of antifibrotic compounds. The high-fidelity in vitro model system combined with convenient functional readouts could potentially facilitate the development of precision medicine strategies for cardiac fibrosis modeling and establish a pipeline for preclinical compound screening.
Cardiac fibrosis, also
known as myocardial scarring, often results
from myocardial infarction (MI) as well as nonischemic cardiomyopathies
associated with various gene mutations, pressure overload, aging,
and clinical interventions such as ablation.[1] Cardiac fibroblast (cFB) replacement of cardiomyocytes (CMs) and
accumulation of extracellular matrix (ECM) is present in nearly all
cases of cardiac fibrosis.[1] In the fibrotic
myocardium, collagen deposition contributes to reduced diastolic chamber
compliance[1] which is associated with the
activation of myofibroblasts (myoFBs),[2] a differentiated form of fibroblast which is responsible for dramatically
elevating collagen synthesis and further promoting matrix stiffening.[3] Collagen deposition also increases the internal
load which leads to deterioration of cardiac contractile force and
impairment of systolic function.[4,5]Another pivotal
aspect of the fibrotic myocardium is altered electrophysiology.[6] Fibrosis often associates with arrhythmogenesis
and abnormal electrical impulse propagation.[6,7] This
can arise both from disruption of electrical coupling between CMs
as a result of the creation of conduction barriers by the ECM[1,7] and by the electronic loads placed on CMs coupled electrically to
the increased numbers of FBs.[7] The interplay
between these effects of fibrosis on cardiac electrophysiology as
well as the role of paracrine signaling and other factors remains
poorly understood.To better elucidate the disease mechanisms
and develop therapeutic
strategies, an ideal model of cardiac fibrosis should exhibit the
hallmarks of disease.[5] Conventional use
of monolayer cell cultures cannot easily capture the structural and
functional properties of fibrotic myocardium due to the oversimplification
of the extracellular microenvironment.[8] The “scar-in-a-jar” model is a well-validated in vitro system to study the biosynthetic cascade of collagen
matrix formation underlying fibrosis.[9] However,
this model is composed of fibroblasts alone and does not reflect the
physiological cellular diversity in the native heart.Organ-on-chip
platforms have recently emerged as biomimetic systems
for elucidating human disease in vitro.[8,10] Several tissue models of myocardial fibrosis have been reported.[11−14] A simplified 3D cardiac fibrotic model was constructed by encapsulating
CMs and cardiac FBs within a mechanically engineered gelatin methacryloyl
hydrogel to recapitulate a fibrogenic microenvironment.[12] Another fibrotic model was created via modulation
of CM and myoFB volume fractions and showed the effects of cellular
composition on impulse conduction velocity.[13] Membranous microtissues were also cultivated with FB-populated collagen
matrix to recapitulate biomechanical properties and morphological
change in healthy and fibrotic tissues.[14] These systems contain more authentic biomechanical cues for disease
modeling than a thin layer of cells. However, these engineered constructs
can only partially match the electrophysiological properties and contractile
functions in human myocardium. The focus on electrophysiological remodeling
is particularly lacking.Our group previously developed Biowire,
a heart-on-a-chip platform
for cultivating miniaturized engineered cardiac tissues with authentic
adult human myocardial phenotypes.[15] An
extension of this technique called the Biowire II platform involved
the generation and long-term culturing of cylindrical tissues resembling
human trabeculae that are suspended between two poly(octamethylene
maleate (anhydride) citrate) (POMaC) wires.[16] This platform uses the deflection of POMaC wires to continuously
and reliably measure absolute contractile systolic and diastolic properties,[16] thereby allowing real-time readouts of active
force, passive tension, Ca2+ transients, and electrical
properties.Using this platform, we present a disease-on-a-chip
model exhibiting
biomechanical and electrophysiological features of fibrotic cardiomyopathy
in the adult human heart. This platform enables structural and functional
maturation of three-dimensional constructs with electrical conditioning.
By taking advantage of the ability to generate heteropolar Biowires,[16] we further tested the feasibility of engineering
a scar-myocardium integrated model to mimic the interaction between
scar lesion and adjacent healthy tissue. To our knowledge, this is
the first mechanoelectrically coupled scar-on-a-myocardium model with
fibrotic and healthy myocardial tissues growing together. Characterizations
can be performed on both normal and fibrotic sides as well as the
interface to elucidate structural and functional modifications in
the scar-affected myocardium.The main value of developing organ-on-a-chip
models for human disease
is in the ability to evaluate drugs. The Biowire II platform enables
the screening of antifibrotic compounds noninvasively on the basis
of tissue contractility and compaction without disturbing long-term
tissue cultivation. Potential drug candidates can be primarily screened
on the basis of their ability to attenuate passive tension and further
evaluated by their ability to inhibit collagen deposition.Proprotein
convertases (PCSKs) are a family of serine proteases
that cleave secreted peptides.[17] PCSKs
have been reported to be involved in heart failure and intimal hyperplasia
through the activation of the TGF-β/Smad signaling pathway.[17] Furin is one of the most ubiquitously expressed
PCSKs; thus, it may be a potential therapeutic target in fibrosis.[17,18] Herein, we use a commercially available furin inhibitor as a model
compound to demonstrate the utility of the Biowire II platform in
selecting antifibrotic drug candidates.
Results
Construction
of Cardiac Fibrosis-on-a-Chip
The Biowire
II platform consists of an array of microchambers fitted with two
polymer (POMaC) wires (Figure A). The microchambers are created on a polystyrene base using
microfabrication and hot embossing techniques as previously reported.[16,19] The cellular composition and mechanical properties of the tissues
are tailored by systematically manipulating the cell populations in
a tuned hydrogel. Cardiomyocytes derived from human induced pluripotent
stem cells (hiPSC-CMs) are cocultured with either 25% or 75% ventricular
cardiac fibroblasts to model normal and fibrotic myocardium, respectively
(Figure A). A fibrin-based
hydrogel is used to encapsulate the cells according to a composition
recently reported to enable the creation of a highly mature ventricular
myocardium.[20] The hydrogel is prepared
with minimal collagen content to facilitate the accurate measurement
of collagen deposition.
Figure 1
Generation of the disease model on the Biowire
II platform. (A)
Schematic of the Biowire II chip design and tissue construction. (B)
Schematic of the electrical stimulation chamber for tissue maturation.
(C) Quantification of compaction based on the tissue width measurement
during the first 7 days of culture (mean ± SD, n = 3, one-way repeated measures ANOVA within each group). (D) Protocol
used to electrically condition tissues upon compaction to promote
tissue organization and maturation. (E) Representative bright field
images of normal and fibrotic tissues and intrinsically fluorescent
POMaC wires observed under blue fluorescent light as the tissues undergo
relaxation–contraction cycles. Wire bending due to passive
tension and the maximum active force development generated by the
tissues are illustrated with the red bars. (Scale bar = 500 μm).
Generation of the disease model on the Biowire
II platform. (A)
Schematic of the Biowire II chip design and tissue construction. (B)
Schematic of the electrical stimulation chamber for tissue maturation.
(C) Quantification of compaction based on the tissue width measurement
during the first 7 days of culture (mean ± SD, n = 3, one-way repeated measures ANOVA within each group). (D) Protocol
used to electrically condition tissues upon compaction to promote
tissue organization and maturation. (E) Representative bright field
images of normal and fibrotic tissues and intrinsically fluorescent
POMaC wires observed under blue fluorescent light as the tissues undergo
relaxation–contraction cycles. Wire bending due to passive
tension and the maximum active force development generated by the
tissues are illustrated with the red bars. (Scale bar = 500 μm).Once assembled, the Biowire tissues
undergo a process of gel compaction
over the next 7 days, wherein the ECM becomes more structured and
dense with compaction being more rapid and pronounced in the fibrotic
(75% fibroblasts) tissues compared to the control tissues (Figure C).Since electrical
conditioning improves cardiac tissue function
and maturation,[21] we routinely applied
chronic electrical stimulation to our tissues using carbon rods (Figure B) after tissue compaction,
with the stimulation frequency increasing by 1 Hz each week for the
next 6 weeks[16] (Figure D). During the entire culture period, muscle
contraction and relaxation can be quantified from the deflection of
the POMaC wire associated with electrical field stimulation (Figure E). Notably, these
measurements reveal, as might be expected, that the passive tension
is greater in the fibrotic tissues compared to the normal tissues
(Figure E).
Compositional
Remodeling and Collagen Deposition in the Fibrotic
Disease Model
Second harmonic generation (SHG) imaging is
performed to provide information on collagen content and structural
modification (Figure A). A more than 2-fold increase of collagen content in the fibrotic
tissues compared to the normal tissues is observed by the end of electrical
conditioning (Figure B). In addition to a more abundant collagen content, electrically
conditioned groups also present a more aligned collagen structure
(Figure A,B). Collagen
bundles reportedly have an anisotropic architecture in the healthy
heart, whereas they often appear densely packed in parallel configurations
in fibrotic tissues.[22] To demonstrate that
collagen remodeling is similar to in vivo fibrotic
lesions, cardiac sections from postmyocardial infarction (MI) rat
hearts are imaged as a comparison (Figure S8). The comparable collagen structure is visualized in the Biowire
tissues and fibrotic heart sections, indicating the similarity of
the Biowire fibrotic tissue to a real cardiac scar. Numerous collagen
fibers are diffusely present in the MI heart, whereas minimal fibrillar
collagen accumulation is observed in the sham group, except for a
few thin fibers. The presence of focal fibrosis is also observed in
the MI heart, characterized by the localized distribution of excessive
collagen (Figure S8).
Figure 2
Fibrotic tissues exhibit
enhanced collagen deposition and elevated
myofibroblast content. (A, B) Representative secondary harmonic generation
(SHG) images and quantification of collagen content in normal and
fibrotic tissues measured at week 3 and 7 of cultivation. Stimulated
is the group subjected to electrical conditioning during cultivation.
Unstimulated is the control. Scale bar = 100 μm (mean ±
SD, n ≥ 3, three-way ANOVA). The table show
results of three-way ANOVA. (C) Representative immunostaining images
of normal and fibrotic tissues at the stimulation end point stained
for filamentous actin (F-actin) cytoskeleton and sarcomeric α-actinin
and counterstained with the nuclear stain DAPI. Scale bar = 100 μm.
(D) Representative immunostaining images of normal and fibrotic tissues
at stimulation end point double-stained for vimentin and sarcomeric
α-actinin and counterstained with the nuclear stain DAPI (scale
bar = 50 μm). CM and cFB number are normalized to the total
cell count at the tissue cultivation end point (mean ± SD, n ≥ 3, two-way ANOVA). (E) Representative immunostaining
images of normal and fibrotic tissues at the stimulation end point
stained for collagen type I and α-smooth muscle actin (α-SMA)
and counterstained with the nuclear stain DAPI (scale bar = 50 μm).
(F) Representative immunostaining images of normal and fibrotic tissues
at the stimulation end point double-stained for vimentin and α-SMA
and counterstained with the nuclear stain DAPI (scale bar = 100 μm).
myoFB fraction in the total fibroblast population (mean ± SD, n = 3, Student’s t test).
Fibrotic tissues exhibit
enhanced collagen deposition and elevated
myofibroblast content. (A, B) Representative secondary harmonic generation
(SHG) images and quantification of collagen content in normal and
fibrotic tissues measured at week 3 and 7 of cultivation. Stimulated
is the group subjected to electrical conditioning during cultivation.
Unstimulated is the control. Scale bar = 100 μm (mean ±
SD, n ≥ 3, three-way ANOVA). The table show
results of three-way ANOVA. (C) Representative immunostaining images
of normal and fibrotic tissues at the stimulation end point stained
for filamentous actin (F-actin) cytoskeleton and sarcomeric α-actinin
and counterstained with the nuclear stain DAPI. Scale bar = 100 μm.
(D) Representative immunostaining images of normal and fibrotic tissues
at stimulation end point double-stained for vimentin and sarcomeric
α-actinin and counterstained with the nuclear stain DAPI (scale
bar = 50 μm). CM and cFB number are normalized to the total
cell count at the tissue cultivation end point (mean ± SD, n ≥ 3, two-way ANOVA). (E) Representative immunostaining
images of normal and fibrotic tissues at the stimulation end point
stained for collagen type I and α-smooth muscle actin (α-SMA)
and counterstained with the nuclear stain DAPI (scale bar = 50 μm).
(F) Representative immunostaining images of normal and fibrotic tissues
at the stimulation end point double-stained for vimentin and α-SMA
and counterstained with the nuclear stain DAPI (scale bar = 100 μm).
myoFB fraction in the total fibroblast population (mean ± SD, n = 3, Student’s t test).These results support the use
of electrical stimulation in the
disease modeling system. The fibrotic tissues present the disrupted
organization of the myofibril ultrastructure compared to normal tissues,
visualized by the filamentous actin (F-actin) cytoskeleton and sarcomeric
α-actinin staining (Figure C). In the human heart, cardiomyocytes contain highly
organized sarcomeres with a length up to ∼2.2 μm.[23] Average sarcomere lengths of 2.0 ± 0.01
and 1.9 ± 0.02 μm were observed in normal and fibrotic
Biowire tissues, which are both within the range of the sarcomere
length of adult cardiomyocytes (Figure S6A,B). Costaining for α-actinin and vimentin is used to quantify
the ratio of CMs to nonmyocytes at the tissue cultivation end point.
There is no dramatic change in the cFB/CM ratio compared to the initial
seeding composition (Figure D), demonstrating that the Biowire II platform provides a
relatively stable microenvironment for maintaining FB quiescence compared
to the flat plastic surfaces of traditional tissue culture plates.[24] Staining for myofibroblasts (myoFBs) marked
by α-smooth muscle actin (α-SMA) indicates that myoFBs
are abundant in the fibrotic tissues but minimally present in healthy
controls (Figure E).
The fibrotic tissues are composed of living myoFBs embedded in deposited
collagen (Figure E).
More than a 3-fold increase in the myoFB ratio is observed in the
fibrotic tissues compared to the normal tissues (Figure F). The distribution of the
Connexin 43 (Cx43) gap-junction protein exhibits a relatively uniform
pattern in the normal Biowire tissues, whereas a marked disruption
of Cx43 distribution is observed in the fibrotic tissues (Figure S7).
Fibrotic Tissues Exhibit
Deteriorating Contractile Function
Compared to the Healthy Tissues
We also performed multiparametric
assessments to further assess the properties of our engineered Biowire
II tissues after 7 weeks of maturation. As reported previously,[16] electrical conditioning reduces the excitation
threshold (ET) voltage needed to initiate contraction and increases
the maximum capture rates (MCRs) for both normal and fibrotic tissues
(Figure A,B). However,
fibrotic tissues generally require higher ETs and displayed lower
MCR than the normal tissues, suggesting impaired electrical integrity
(Figure A,B). Moreover,
after 6 weeks of electrical stimulation, normal tissues have pronounced
positive force–frequency relationships (FFRs) (Figure C and Figure S1), indicative of enhanced maturation.[16] Despite improvements in contractility and excitability
observed with electrical conditioning, the FFR at the end of cultivation
is flatter (Figure C and Figure S1), and the postrest potentiation
(PRP) of force is less pronounced in fibrotic tissues compared to
normal Biowire II tissues (Figure E).
Figure 3
Fibrotic tissues exhibit inferior contractile properties
compared
to the controls. (A, B) Excitation threshold (ET) and maximum capture
rate (MCR) measurements for the normal and fibrotic tissues cultivated
with (stimulated) or without (unstimulated) electrical conditioning
(mean ± SD, n ≥ 3, two-way ANOVA). (C)
Active force of normal and fibrotic tissues when stimulated from 1
to 3 Hz (mean ± SD, n ≥ 3, one-way ANOVA
within each group). (D) Passive tension and active force for the normal
and fibrotic tissues at the electrical conditioning end point (mean
± SD, n = 3, Student’s t test within each group). (E) Postrest potentiation (PRP) of force
(normalized to the last pacing frequency) in both groups at the end
point of electrical conditioning (mean ± SD, n ≥ 3, Student’s t test). (F) Quantification
of force dynamics (mean ± SD, n ≥ 3,
Student’s t test). (G) Representative stress–strain
relationship for the Young’s modulus in each group. The experimental
data are from the linear regions of stress–strain curves obtained
by the MicroSquisher stretching test. (H) Young’s moduli of
normal and fibrotic tissues at the end of electrical conditioning
(mean ± SD, n ≥ 3, Student’s t test).
Fibrotic tissues exhibit inferior contractile properties
compared
to the controls. (A, B) Excitation threshold (ET) and maximum capture
rate (MCR) measurements for the normal and fibrotic tissues cultivated
with (stimulated) or without (unstimulated) electrical conditioning
(mean ± SD, n ≥ 3, two-way ANOVA). (C)
Active force of normal and fibrotic tissues when stimulated from 1
to 3 Hz (mean ± SD, n ≥ 3, one-way ANOVA
within each group). (D) Passive tension and active force for the normal
and fibrotic tissues at the electrical conditioning end point (mean
± SD, n = 3, Student’s t test within each group). (E) Postrest potentiation (PRP) of force
(normalized to the last pacing frequency) in both groups at the end
point of electrical conditioning (mean ± SD, n ≥ 3, Student’s t test). (F) Quantification
of force dynamics (mean ± SD, n ≥ 3,
Student’s t test). (G) Representative stress–strain
relationship for the Young’s modulus in each group. The experimental
data are from the linear regions of stress–strain curves obtained
by the MicroSquisher stretching test. (H) Young’s moduli of
normal and fibrotic tissues at the end of electrical conditioning
(mean ± SD, n ≥ 3, Student’s t test).Consistent with the impaired
systolic and diastolic function typically
seen in cardiac fibrosis, fibrotic tissues exhibit both diminished
active contractile force and increased passive tension (Figure D), accompanied by the prolonged
time to peak in active force development in the fibrotic group compared
to the normal group, despite comparable transient durations (Figure F). Consistent with
our previous findings and the analysis of the published results we
provided previously,[16] both normal and
fibrotic Biowire II tissues exhibit active forces that are lower compared
to those reported previously,[20,25−27] but when normalized to the input CM number, the forces are comparable
in this work and previous studies[15,16] (Figure S6C). In addition, Young’s moduli
of normal and fibrotic tissues are in agreement with the mechanical
properties reported in the healthy (Young’s modulus ∼10
kPa) and fibrotic (2–10 times stiffer) human myocardium, respectively[28] (Figure G,H).Although most of the results here are obtained
using BJ1D iPSC-derived
cardiomyocytes, the fibrotic tissues can be constructed in the Biowire
II platform using a commercially available cell source iCell cardiomyocytes
(Figure S2).
Abnormal Calcium Handling
and Electrophysiological Properties
Present in the Fibrotic Tissues
Modifications in calcium
transients, excitation–contraction coupling, and electrical
properties are also observed in the fibrotic tissues compared to the
normal tissue. Specifically, calcium transient amplitudes are lower
with greater amounts of unsynchronized calcium waves in fibrotic tissues
(Figure A). In addition,
the rising slope of calcium transients and the relaxation time constant
are smaller in the fibrotic compared to the normal tissues (Figure B). Despite abbreviated
calcium transients, the time to peak is significantly longer in the
fibrotic compared to the normal tissue (Figure B). Arrhythmic beating is also observed in
all fibrotic tissues through calcium tracing and optical mapping (Figure A).
Figure 4
Fibrotic tissues exhibit
abnormal calcium transients and electrophysiological
properties compared to the controls. (A) Representative active force
(orange) and calcium transient (blue) traces of normal and fibrotic
electrically conditioned tissues under electrical field stimulation
at 1 Hz. The red marks indicate pacing frequency. (B) Quantification
of the calcium transient properties (mean ± SD, n ≥ 3, Student’s t test).
Fibrotic tissues exhibit
abnormal calcium transients and electrophysiological
properties compared to the controls. (A) Representative active force
(orange) and calcium transient (blue) traces of normal and fibrotic
electrically conditioned tissues under electrical field stimulation
at 1 Hz. The red marks indicate pacing frequency. (B) Quantification
of the calcium transient properties (mean ± SD, n ≥ 3, Student’s t test).Altered action potential profiles, including depolarization
of
cardiomyocyte resting potential, reduction of cardiomyocyte maximum
upstroke velocity, and prolonged cardiomyocyte action potential duration,
are observed in the fibrotic model (Figure S3).
Construction of the Scar-Myocardium-Integrated-Model-on-a-Chip
With the aim to construct a disease model recapitulating scar lesion
integration on the normal myocardium, we spatially patterned normal
and fibrotic tissues to generate a heteropolar model with both compartments
(Figure A). While
growing together and beating synchronously upon compaction, intrinsic
morphological and functional properties that are seen in individual
fibrotic or normal tissues are still present at the opposing sides
of a single Biowire II tissue. The fibrotic side shows faster and
denser compaction as seen individually (Figure B). A defined geometrical segregation of
cellular composition, collagen-dense area, and myoFB activation are
visualized by immunostaining for α-actinin, collagen I, and
α-SMA as well as SHG imaging (Figure C,D).
Figure 5
Construction and characterization of the
scar-myocardium integrated
model. (A) Schematics of the integrated scar-myocardium model. A model
of focal fibrosis is generated by seeding a normal (25%) and a high
(75%) percentage of FBs together with CMs at the opposing ends of
the Biowire II tissue. (B) Quantification of compaction based on the
tissue width measurement on the two opposing sides of the integrated
tissue during the first 7 days of culture (mean ± SD, n ≥ 3, one-way repeated measures ANOVA within each
group). (C) Representative immunostaining images of the integrated
tissue stained for sarcomeric α-actinin, collagen type I, and
α-SMA. The dashed lines mark the geometrical segregation at
the interface (scale bar = 100 μm). (D) SHG imaging of collagen.
The dashed lines mark the geometrical segregation at the interface
(scale bar = 100 μm). (E) Conduction velocity maps for normal,
fibrotic, and integrated tissues (scale bar = 500 μm). The color
scale represents the time for an electrical pulse to pass through
in milliseconds. (F) Representative active force (orange) and calcium
transient (blue) traces of normal and fibrotic sides on the same integrated
tissue under electrical field stimulation at 1 Hz. (G) Corresponding
quantification of calcium transients on the opposing sides of the
tissues and the interface (mean ± SD, n ≥
3, one-way ANOVA).
Construction and characterization of the
scar-myocardium integrated
model. (A) Schematics of the integrated scar-myocardium model. A model
of focal fibrosis is generated by seeding a normal (25%) and a high
(75%) percentage of FBs together with CMs at the opposing ends of
the Biowire II tissue. (B) Quantification of compaction based on the
tissue width measurement on the two opposing sides of the integrated
tissue during the first 7 days of culture (mean ± SD, n ≥ 3, one-way repeated measures ANOVA within each
group). (C) Representative immunostaining images of the integrated
tissue stained for sarcomeric α-actinin, collagen type I, and
α-SMA. The dashed lines mark the geometrical segregation at
the interface (scale bar = 100 μm). (D) SHG imaging of collagen.
The dashed lines mark the geometrical segregation at the interface
(scale bar = 100 μm). (E) Conduction velocity maps for normal,
fibrotic, and integrated tissues (scale bar = 500 μm). The color
scale represents the time for an electrical pulse to pass through
in milliseconds. (F) Representative active force (orange) and calcium
transient (blue) traces of normal and fibrotic sides on the same integrated
tissue under electrical field stimulation at 1 Hz. (G) Corresponding
quantification of calcium transients on the opposing sides of the
tissues and the interface (mean ± SD, n ≥
3, one-way ANOVA).Contractile and electrophysiological
properties are evaluated with
the integrated model as important indicators of the scar-myocardium
interaction. Impulse propagation velocity diminishes, and arrhythmia
appears at the normal side of the heteropolar tissue, due to the conduction
block created by the fibrotic side of the integrated model (Figure E). Excitation–contraction
coupling clearly displays different profiles at the fibrotic and normal
sides (Figure F,G).
Through calcium tracing and optical mapping, arrhythmic waves are
observed across the integrated tissue, especially in the interface
region where two compartments are connected (Figure E,F). Calcium transients are faster with
a larger amplitude at the normal side compared to the interface and
the fibrotic side of the integrated mode (Figure G). However, when a comparison is made to
the normal single tissue, it is clear that both systolic and diastolic
properties of the normal side are inferior in the integrated tissues
compared to the single normal tissues (Figure G).
Drug Testing with Fibrotic Biowire II Tissues
Increased
passive tension is a suggested mechanism underlying diastolic dysfunction
in cardiac fibrosis.[24,29,30] Passive tension of the myocardium is affected by CM titin properties
and extracellular collagen.[29,30] Thus, Biowire screening
uses passive tension as the primary screening parameter. SHG collagen
imaging and tissue compaction data are obtained as validation tools
to evaluate the antifibrotic effect. The direct readout of active
force, ET, and MCR is used to monitor cardiac tissue contractility
and electrical integrity after drug treatment without disturbing tissue
cultivation.We first compared the efficacy of three commercially
available furin inhibitors in reducing collagen deposition using a
96-well plate “scar-in-a-jar” model, including p-guanidinomethyl-phenylacetyl-Arg-Val-Arg-4-amidinobenzylamide
(PCI), dec-RVKR-cmk (FiI), and hexa-d-arginine amide (FiII).
PCI showed the most potent efficacy in reducing reticular collagen
deposition among the three compounds (Figure S4A). The inhibition is specific to collagen and does not affect other
major ECM proteins such as fibronectin (Figure S4B). Therefore, PCI is selected as the model compound to be
used in Biowire drug testing.Considering the time-dependent
nature of collagen deposition, two
different regimens for the treatment of Biowire II tissues with PCI,
late versus early, are investigated (Figure A,F). With the first regimen, fibrotic tissues
undergo electrical conditioning for 6 weeks to establish mature fibrotic
phenotypes before compound treatment (Figure A). This regimen aims to screen antifibrotic
effects on tissues with established pathological phenotypes. Significantly
alleviated passive tension is observed at 7 days after treatment with
PCI (Figure B). The
treatment has no significant effect on active tension compared to
the control group (Figure C). Collagen content reduction is observed, albeit at an insignificant
level with the PCI treated group compared to the dimethyl sulfoxide
(DMSO) treated control (Figure D,E). The data suggest no significant drug effects on ET,
while elevated MCR is observed in the PCI treated group (Figure S5A).
Figure 6
Proof of concept drug screening. (A) Schematic
of the drug screening
timelines of the late treatment (Regimen 1). (B, C) Passive tension
and active force before and after 7 days of PCI treatment with matured
fibrotic tissues based on Regimen 1 (mean ± SD, n = 3, Student’s t test within each group).
(D) Representative SHG images of fibrotic tissues treated with PCI
for 7 days compared to the DMSO control (scale bar = 100 μm).
(E) Corresponding quantification of the collagen area ratio (mean
± SD, n ≥ 3, Student’s t test). (F) Schematic of the drug screening timeline of
the early treatment (Regimen 2). (G, H) Passive tension and active
force after 7 days and 6 weeks of PCI treatment based on Regimen 2
(mean ± SD, n = 3, two-way ANOVA). (I, J) Representative
SHG images (scale bar = 100 μm) and corresponding quantification
of fibrotic tissues treated with PCI for 7 days based on Regimen 2
(mean ± SD, n ≥ 3, Student’s t test).
Proof of concept drug screening. (A) Schematic
of the drug screening
timelines of the late treatment (Regimen 1). (B, C) Passive tension
and active force before and after 7 days of PCI treatment with matured
fibrotic tissues based on Regimen 1 (mean ± SD, n = 3, Student’s t test within each group).
(D) Representative SHG images of fibrotic tissues treated with PCI
for 7 days compared to the DMSO control (scale bar = 100 μm).
(E) Corresponding quantification of the collagen area ratio (mean
± SD, n ≥ 3, Student’s t test). (F) Schematic of the drug screening timeline of
the early treatment (Regimen 2). (G, H) Passive tension and active
force after 7 days and 6 weeks of PCI treatment based on Regimen 2
(mean ± SD, n = 3, two-way ANOVA). (I, J) Representative
SHG images (scale bar = 100 μm) and corresponding quantification
of fibrotic tissues treated with PCI for 7 days based on Regimen 2
(mean ± SD, n ≥ 3, Student’s t test).With the second regimen,
the drug effects are assessed on early
stage scar formation (Figure F). PCI treatment initiated upon cell seeding contributes
to the deceleration of tissue compaction (Figure S5B). Correspondingly, reduced passive tension is observed
after 7 days of treatment. This effect is maintained in the long-term
culture for up to 6 weeks (Figure G). The early treatment results in a potent reduction
of collagen content (Figure I,J). However, a remarkably diminished active tension (Figure H) and lower MCRs
(Figure S5C) are accompanied by long-term,
6 week PCI treatment. This is presumably due to the diminished intracellular
coupling caused by the reduction of cell-gel compaction.
Discussion
In this work, a high-fidelity model of cardiac fibrosis is constructed
on the Biowire II system. This disease model enables systematic control
and quantification of tissue composition, collagen content, and mechanical
properties. Hallmarks of fibrotic myocardium such as myofibroblast
activation, tissue stiffening, impaired contractile and electrical
properties, and concomitant arrhythmogenesis are exhibited in this
disease model.The tissue construction strategy aims to reproduce
the microenvironment
involved in most forms of fibrosis, where the elevated presence of
cFB takes place after CM loss, and local collagen deposition emerges
from the initially homogeneous FB population.[30,31] Overpopulated FBs cause enhanced collagen content and tissue stiffening,
which in turn activates myofibroblast differentiation and aggravates
collagen deposition; thus, fibrosis is mediated by a self-reinforcing
positive-feedback loop.[31] There are several
existing fibrotic disease models that depend on exogenous TGF-β
and ischemic stimuli.[12,32−34] However, the
introduction of exogenous TGF-β can confound the investigation
of the endogenous TGF-β pathway. In addition, considering the
functional pleiotropy of TGF-β in a wide variety of complex
biological processes,[5,35] the current model avoids unpredictable
off-target effects and provides a consistent model system easy to
reproduce.Although fibrosis has been intensively studied, the
mechanisms
responsible for this disease remain unclear. It is difficult to systematically
study remodeling due to disease, especially abnormal electrophysiological
properties in a monolayer cell culture or 2D planar surface without
the intricate electromechanical microenvironment and cell–cell
as well as cell–matrix interactions.[36,37] Despite the fact that FBs and myoFBs have multiple ion channels
and are able to electrically couple with CMs,[36−39] they are electrically nonexcitable
and cannot maintain action potential propagation on their own.[36] We are able to simulate electrophysiological
phenomena including reduced conduction velocity propagation, abnormal
calcium handling, and altered action potential profiles on a 3D Biowire
II chip. By simultaneously measuring calcium transient and contractile
force, diminished excitation–contraction coupling is shown
in the fibrotic tissues. Action potential profiles vary in different
regions of heart.[40] For example, the plateau
phase is pronounced in midmyocardium but minimal in endocardium.[40] Action potential duration (APD) has been reported
to be in the range 250–400 ms in adult human ventricles.[39,41] The value varies between individuals and the region of the heart
being recorded.[41] It is still a challenge
to achieve tissue maturation that matches the adult heart in every
aspect;[23] therefore, deviation from reported
adult APD is expected. The altered action potential components such
as hypopolarized membrane potential, decreased AP amplitude, and extended
action potential duration (APD) are within the reported range for
stem-cell-derived cardiac tissues[16,20] and in accordance
with previously reported studies.[42,43] Abnormal calcium
handling indicated by diminished calcium intensity and elongated time
to peak is also in line with clinical findings with failing fibrotic
hearts.[38,44] Moreover, the FFR data are in agreement
with previous studies of force production in human myocardium, showing
that there is a positive frequency treppe in normal myocardium but
not in the failing myocardium.[45] FFR indicates
the normal positive inotropic response to elevated stimulation frequency
and normally appears to be positive in healthy myocardium.[46,47] However, in the failing heart, the frequency treppe is either absent
or attenuated at high stimulation frequencies.[48]The major novelty of this work includes the integrated
scar-myocardium
model that aims to recapitulate localized cardiac scars that often
take place postinfarction.[49−51] There are limited studies targeting
the regional remodeling in the fibrotic myocardium. This model provides
a feasible tool for studying a small scar region, i.e., focal fibrosis,
and scar border zone in an interconnected electrophysiological system.
The two tissue compartments in the integrated scar-myocardium model
preserve functional and compositional heterogeneity when they grow
concurrently. The occurrence of arrhythmia is observed across the
tissue. This is in agreement with previous MRI-based studies implicating
arrhythmogenic properties of scar lesion and border zone regions.[50,51] The underlying mechanisms have not yet been fully elucidated. The
further investigation of electromechanical coupling of the scar tissue
and adjacent myocardium with this model can lead to a deeper understanding
of fibrosis-associated arrhythmia and potentially facilitate the development
of novel therapies aimed at modifying scar properties.Ideally,
human tissues should be used to inform the changes in
gene and protein expression in the context of disease, to enable the
identification of new drug targets. However, obtaining such information
in the context of heart disease is remarkably difficult as both healthy
and diseased viable human heart tissue is extremely scarce.[52] The Biowire II fibrotic model is constructed
in a high-content format and manufactured with inert materials that
are compatible with the industrial standards, which makes it a desirable in vitro testbed. The capability of maintaining a long-term
culture allows screening at variable time points and maximizes high-content
assessments with each tissue. Although it takes 7 weeks to grow the
tissue, the cultivation pipeline is established, so tissues are available
every day for testing.By evaluating the antifibrotic efficacy
of the small-molecule inhibitor
of proprotein convertase furin, we show the potential application
of the Biowire II platform in preliminary compound screening. Furin
expression is known to be increased in the failing heart.[17,18] It is believed to cleave and activate a number of cardiac profibrotic
peptides including TGFβ, subsequently switching on signaling
pathways linked to cardiac fibrosis.[17] Our
results indicate that furin inhibition by PCI attenuates collagen
deposition in fibrotic Biowires. The rationale for prescreening with
the monolayer “scar-in-a-jar” assay was provided by
our recent paper that illustrates the concept of prescreening dozens
of kinase inhibitors in monolayers, followed by the neural network
facilitated selection of candidates for screening in the Biowire system.[53] In addition, the “scar-in-a-jar”
model is a well-validated in vitro system to study
the collagen matrix.[9] The screening outcome
is consistent with the “scar-in-a-jar” assay but provides
a higher-content result as it enables collagen content measurement
together with functional characterization. The question of when to
start antifibrotic treatment is debated;[5,54] therefore,
we did not know the optimal time point before the experiment was conducted.
As this work aims to provide exploratory data and an appropriate model
system for a subsequent larger-scale screening, we chose the two extremes
that would bound the space of possible time points. The result suggests
that blocking the furin pathway at earlier time points is more effective
in prohibiting fibrosis formation and collagen deposition. However,
this could be accompanied by detrimental effects on cardiac contractility
and electrical integrity, given that collagen deposition is beneficial
for the development of cardiac function. The result might provide
useful information for future mechanistic studies on pathways related
to early fibrosis onset and development. All together, these results
indicate the potential utility of this platform in selecting drug
candidates and navigating efficient screening timelines, which cannot
otherwise be achieved with monolayer culture. As a proof of concept
study, concentration gradient and dose–response curves are
not included in this preliminary screening. However, the result provides
exploratory data for a subsequent intensive screening with larger
sample size, dose gradients, and differential timelines.In
summary, the Biwoire II platform is able to capture the complex
physiological and pathological cues of the fibrotic human myocardium.
A highly physiologically relevant fibrotic myocardial model and healthy
control can be reproduced as distinct constructs and integrated together.
In conjunction with previous functional and proteomics studies, this
high-content label-free system can be used as a promising tool to
perform predictive and informative drug screening for preclinical
studies. The integrated disease model can potentially allow the precise
testing of differential drug responses in scar and healthy tissues
as well as enable the assessment of regional remodeling over time.However, we recognize some limitations of this fibrotic model.
It solely recapitulates progressive myoFB activation and fibrosis
caused by overpopulated resident fibroblasts. In many cases of cardiac
fibrosis, myofibroblasts arise from a variety of origins and present
phenotypic heterogeneity in healthy and diseased hearts.[55] Future studies with preconditioned myoFB subtypes
as well as factors that regulate myoFB activation will facilitate
the development of more physiologically biomimetic models. The construction
of the focal fibrotic model is still in an early stage. Manual cell
seeding of the opposing compartments inevitably causes patterning
inconsistency. In the follow-up studies, 3D printing technology can
be used to generate complex diseased tissues which possess precise
regional differences in cell types and mechanical properties.[56] With this approach, we could unprecedentedly
create scar tissues of customizable shape, size, and composition to
enable disease modeling of specific types of cardiomyopathies. This
work only demonstrates preliminary drug screening results. Future
optimally designed drug screening studies using multipronged approaches
are required to test potential compounds and design effective treatment
strategies. Further studies of dosage, delivery route, treatment onset,
and length of administration will precisely dissect antifibrotic mechanisms
and effects of the treatment.
Methods
Biowire Chip Design and
Fabrication
Photomasks for
fabricating the tissue chip and the polymer wire were designed using
AutoCAD as previously reported.[16,19] The master molds were
fabricated by soft lithography using the negative photoresist SU-8(MICRO
CHEM). Polydimethylsiloxane (PDMS) molds were made by replica molding
from the SU-8 master molds. The PDMS mold for the chip fabrication
was plasma bonded to a silicon wafer, and the features were hot embossed
onto a polystyrene sheet. POMaCpolymer wires were prepared from a
prepolymer as previously described.[57] The
PDMS mold for fabrication of the wires was pressed onto a glass slide,
followed by the perfusion of POMaC prepolymer solution through the
microchannels by capillary action. After UV cross-linking of the prepolymer
wire and peeling off the PDMS, the POMaC wires were soaked in phosphate
buffered saline to release them from the glass slide and were manually
placed into the two parallel grooves patterned into the polystyrene
sheet. Clear polyurethane 2-part adhesive (SP 1552-2, GS Polymers,
Inc.) was used in a minimum quantity to fix the POMaC wires in place.
Generation of Fibrotic and Control Cardiac Tissues
Predominantly
ventricular cardiomyocytes (CMs) were derived from
the human induced pluripotent stem cell (hiPSC) line BJ1D using the
monolayer differentiation protocols as previously described.[58] iCell cardiomyocytes were purchased from CDI
and used according to the manufacturer’s instructions. hiPSC-derived
CMs were mixed with cardiac fibroblasts in 3:1 (normal) and 1:3 (fibrotic)
cell number ratios, pelleted, and resuspended at a concentration of
5.5 × 107 cells/mL in the hydrogel. A fibrin/Matrigel
hydrogel was prepared by combining the fibrinogen with Matrigel (BD
Biosciences) in a 3:1 ratio. A volume of 0.5 μL of 25 IU/mL
thrombin (Sigma-Aldrich) was added to each microwell prior to cell
seeding. The cell–hydrogel suspension (2 μL per well)
was seeded into the polystyrene microwells, to give a final seeding
of 1.1 × 105 cells/microchamber. After 15 min of gelation
at 37 °C, 15 mL of Induction 3 Medium (I3M) (StemPro-34 complete
media, 20 mM HEPES, 1% GlutaMAX, 1% penicillin–streptomycin,
Life Technologies; 213 μg/mL 2-phosphateascorbic acid, Sigma-Aldrich)
was added to the 10 cm dish. Aprotinin (Sigma-Aldrich) was added to
the media at 10 μM. After seeding (day 0), the engineered cardiac
tissues were cultured for 7 days to allow for remodeling and compaction
around the POMaC wires. Daily bright field images of the tissues were
taken using an Olympus CKX41 inverted microscope and CellSens software
(Olympus Corporation). To generate integrated tissues, the aforementioned
fibrotic and normal cell–hydrogel mixtures were pelleted and
resuspended. One side of the Biowire II well was first seeded with
normal cell suspension and left at the room temperature for 10 min,
followed by seeding on the other side with the fibrotic cell suspension.
After seeding, tissues were cultured for 7 days to allow for remodeling
and compaction around the POMaC wires.
Contractility Assessment
and Force Measurement
On day
8 and weekly thereafter, 4× bright field movies were taken of
spontaneous cardiac tissue beating and beating under stimulation at
1 Hz to record a contractile pattern and force displacement for the
force calculation performed according to the calibration curves we
published previously.[16] The minimum voltage/cm
required to stimulate the synchronized contraction of the tissue (ET)
and the maximum frequency the tissue could contract in response to
the stimulation pulse at 2 times ET (MCR) were measured and recorded.
POMaC is intrinsically fluorescent; hence, the deflection of the polymer
wire due to the tissue contraction was isolated and tracked under
blue fluorescent light. DAPI channel movies were taken to record the
bending movement of the POMaC wire during tissue contraction from
1 to 6 Hz to measure the force–frequency relationship (FFR).
After the tissue had been stimulated at 6 Hz for 20 s, stimulation
was stopped for 10 s (rest period), and the stimulation was reinitiated
at 1 Hz to measure PRP of the tissue. For the force calculation, blue
channel image sequences were analyzed using a custom MatLab code that
traced the maximum deflection of the POMaC wire. The average tissue
width and width of the tissue on the polymer wire (Tw) were measured
from still frames of the 4× bright field video of the tissue
in the relaxed position. Total (at peak contraction) and passive (at
rest) POMaC wire deflection was converted to force measurements (μN)
using the standard forces curves.[16] The
customized tips to match the Biowire tissue width in 3 different sizes
were fabricated, by affixing a custom tip (0.5, 0.7, and 0.8 mm diameter)
to a 0.1524 mm diameter tungsten probe to recapitulate the tissue
diameter and curvature on the POMaC wire, as previously described.[16] The custom tips (half ellipse, 4:1 diameter
ratio) were fabricated from an SU-8 master by soft lithography and
were attached to the tungsten probe using an adhesive (T-GSG-01 Titan
Gel). The experimental data, over the entire range, for each custom
tip were fit to a third-degree polynomial equation, generating a force–displacement
calibration curve for each custom probe tip. The final readouts for
the total and passive force of tissue were then interpolated according
to the Tw and custom tip sizes, as previously reported.[16] The active force was calculated as the difference
between the total and passive force. The tissue cross-sectional area
was measured at 3 different locations across the tissue. Then, the
average cross-sectional area was calculated and used in the conversion
of total active force (μN) produced by the entire tissue (calculated
from the polymer wire displacement) to the average stress (μN/mm2) exhibited by the tissue. The custom MatLab code was used
to calculate the passive and active force. For the FFR measurements,
normalized forces were calculated by dividing the active force measured
at any given frequency to the active force of the same tissue paced
at 1 Hz.
Electrical Stimulation
After 7 days of preculture,
each strip of 8 Biowire II tissues was transferred to the electrical
stimulation chamber, as previously reported.[16] On the basis of the electrical property assessment, the stimulation
voltage was selected (1.5 times the average ET). All imaging was performed
using an Olympus IX81 inverted fluorescent microscope and CellSens
software (Olympus Corporation). Electrical stimulation was continued
with weekly monitoring of ET, MCR, FFR, and PRP. I3M media was changed
every week. Electrical stimulation started at 1 Hz on day 7, and the
protocol of 1 Hz weekly step-up was used until the frequency reached
6 Hz. End point assessments were performed when a positive FFR (at
least 1–3 Hz) was achieved. If a positive FFR was not observed
once the tissues reached 6 Hz, stimulation continued at 6 Hz until
a positive FFR was observed. The stimulation voltage was adjusted
weekly to 1.5 times ET down to a minimum voltage of 3.5 V/cm. Control
tissues were cultured without electrical stimulation.
Immunostaining
and Confocal Microscopy
The tissues
were fixed with 4% paraformaldehyde, permeablized by 0.25% Triton
X-100, and blocked by 5% bovineserum albumin (BSA). Immunostaining
was performed using the antibodies mouse anti-α-actinin (Abcam;
1:200), rabbit anti-SMA (Abcam, 1:200), Vimentin (Sigma, 1:200), mouse
antitype I collagen (GeneTex, 1:200), and rabbit anti-connexin 43
(Cx-43) (Abcam; 1:200) and the secondary antibodies donkey antimouse-Alexa
Fluor 488 (Abcam; 1:400) and donkey antirabbit-Alexa Fluor 594 (Life
Technologies; 1:200). Phalloidin-Alexa Fluor 660 (Invitrogen; 1:200)
was used to stain F-actin fibers. Conjugated vimentin-Cy3 (Sigma;
1:200) was used to stain for vimentin. Confocal microscopy images
were obtained using an Olympus FluoView 1000 laser scanning confocal
microscope (Olympus Corporation). Cardiomyocytes and fibroblasts were
quantified by the average number of α-actinin or vimentin stained
cells divided by the total cell number based on DAPI counterstain
(n = 3). The 100 mM potassium chloride (Sigma) was
used to relax the tissue prior to fixation for sarcomere length measurement.
The respective sarcomere length in normal and fibrotic tissues stained
with sarcomeric α-actinin was measured following imaging.
Second Harmonic Generation Imaging and Quantification
Biowires
were fixed with 4% paraformaldehyde and imaged by an SHG
laser scanning microscope (Zeiss LSM710 wo-Photon/Confocal microscope).
The two-photon laser tuned to 860 nm was attached to the microscope
and resulted in an SHG signal detectable at 475 nm. To ensure a consistent
SHG signal and intrinsic fluorescence intensity, clear collagen morphology
for quantitative analysis, and less photodamage of specimens, the
detector offset and gain were optimized and held at a constant value
for each region imaged. The quantification of collagen fibers was
performed with ImageJ. A minimal threshold was set in the second harmonic
signal. The threshold was maintained for all images across all conditions.
The area of regions that was covered by the minimal threshold was
calculated, and 3 images per sample were averaged together.For SHG with the rat heart sections, sections were obtained in a
previous study.[59] Lewis rats (200–250
g) were obtained from Charles River Laboratories (Saint-Constant,
QC, Canada), and MI was generated under general anesthesia by performing
left anterior descending artery ligation as previously described.[59] Three weeks after ligation, rats were assessed
by echocardiography, and only those exhibiting 20–40% fractional
shortening were included in the study. Paraffin embedding and sectioning
was done on samples prepared as described above by the Pathology Research
Program at the University Health Network. Sham and MI heart sections
were blindly chosen for SHG imaging.
Intracellular Recording
Biowire II tissues were incubated
in 35–37 °C Dulbecco’s modified Eagle’s
medium (DMEM). They were paced at 2× their excitation threshold.
The movement of the tissues was minimized by 20 min treatment with
10 μ blebbistatin (Toronto research chemicals) to eliminate
motion artifacts. The action potential was recorded with a high impedance
microelectrode of 60–90 MΩ filled with 3 M KCl. Microelectrodes
were connected to a Duo 773 electrometer (World Precision Instrument).
The recording was performed on current clamp mode at 10 kHz, and signals
were analyzed by Clampfit 10 (Axon instrument).
Optical Mapping
Tissues were treated with 2 μM
voltage sensitive dye, Di-4-ANEPPS (Invitrogen) in DMEM for 30 min
at room temperature. The tissues were paced at 1.5–2 Hz with
a Pulsar 6i Stimulator (FHC, Inc.) at 2× their excitation threshold.
Tissue contraction was stopped by 20 min treatment with 10 μM
blebbistatin. Dye fluorescence was recorded on an MVX-10 Olympus fluorescence
microscope (Olympus Corporation) equipped with a charged coupled device
(CCD) (Cascade 128, Photometrics). The 1 cm sensor had 128 ×
128 pixel resolution. Recordings were performed at 500 frames/s with
0 exposure time. Maps were generated by scroll software.
Mechanical
Testing
The elastic modulus of the tissues
was tested by stretching tests with MicroSquisher (CellScale) (n = 9) using the 0.2 mm diameter tungsten probe. During
the test, the tissues were affixed to a 10 cm dish in culture media.
A micropin was used to anchor one side of the tissue to the plate.
The probe tip was placed at the other end of the tissue, and the tissue
was subsequently stretched in the longitudinal direction at a velocity
of 2.5 μm/s. Force, probe displacement, and time were recorded.
The tissue length and cross-section were measured to calculate strain
and stress. Young’s modulus values of samples were calculated
from the initial linear region, i.e., up to 15% strain range for both
normal and fibrotic tissues, on the basis of the sample’s linear
elastic region of the curves, using a using linear least-squares fit.
Calcium Transient Recording
To investigate the relative
changes of intracellular calcium concentration, tissues were incubated
with the calcium dye Fluo-4 NW (Thermo Fisher) for 30 min at 37 °C
prior to testing. For measuring excitation–contraction coupling,
calcium transients and contractility readouts were obtained from the
same tissue simultaneously in the same frames. The testing process
was performed using the green light channel (λex =
490 nm, λem = 525 nm) and 4× magnification.
The ImageJ software (NIH) Stacks plugin was used to determine the
average intensity of a region of interest in the tissue located at
a distance from the POMaC wire, wherein the movement artifacts were
minimal. The ratio of peak tissue fluorescence intensity to baseline
intensity, dF/F0, was calculated to determine the relative changes
in intracellular calcium in fibrotic and control models. The contractile
measurements were extracted from the green channel videos using a
modified version of the ImageJ SpotTracker plugin. For the consecutive
force and calcium transient readouts, contractile measurements were
extracted from the blue channel as described before. For the synchronous
readouts, the contractile measurements were extracted from the green
channel videos using a modified version of the ImageJ SpotTracker
plugin.
Scar-in-a-Jar Assay
Normal human dermal fibroblasts
(NHDFs) from juvenile foreskin (j-NHDFs, Promocell C-12300) were plated
on 96-well plates at 6000 cells per well in fibroblast basal medium
(FBM, Lonza CC-3130) containing 2% fetal bovine serum (FBS) and cultured
under 5% CO2 at 37°C. After 24 h, cells were switched
to FBM containing 0.5% FBS, containing 25 mg/mL Ficoll 400 and 100
μM l-ascorbic acid2-phosphate (Sigma A8960). Small-molecule
treatments were applied at the same time as Ficoll 400.
Three inhibitors of proprotein convertase were p-guanidinomethyl-phenylacetyl-Arg-Val-Arg-4-amidinobenzylamide
(PCi, Calbiochem 537076), dec-RVKR-cmk (FiI, Tocris Bioscience 3501),
and hexa-d-arginine amide (FiII, Tocris Bioscience 4711).
After 3 days of biophysical crowding, cells were fixed in ice-cold
MeOH for 10 min at 4°C, blocked in 3% BSA for 30 min, and incubated
in 1/500 mouse monoclonal anticollagen type 1 (C2456, Sigma), 1/500
rabbit polyclonal antifibronectin (F3648, Sigma), or 1/100 rabbit
polyclonal anti-TGN46 (13573-1-AP, Proteintech) overnight. Subsequently,
goat antimouse IgG-Alexa488 and goat antirabbit IgG-Alexa647 (A-11001
and A-21245, respectively, Life Technologies) were used at 1/400 and
counterstained with Hoechst for 1.5 h. Signals of collagen type I
and fibronectin were imaged on the Operetta System (PerkinElmer).
Drug Testing
Proprotein convertase inhibitor Calbiochem
537076 (PCI) was prepared in dimethyl sulfoxide (DMSO) solution as
previously reported.[59] A working concentration
of 2.5 μM was achieved by diluting the stock in maintenance
medium. Two screening timelines, late treatment after tissue maturation,
and early treatment upon seeding were used to treat the tissues with
compounds and DMSO controls.
Statistical Analysis
Statistical analysis was performed
using Prism 7.0 software. Differences between experimental groups
were analyzed by Student’s t test (two groups)
or one-way ANOVA (more than two groups). Experiments with two or three
different variables were analyzed with two-way or three-way ANOVA.
The normality test (Shapiro–Wilk) and pairwise multiple comparison
procedures (Tukey’s post hoc method or Holm–Sidak method)
were used for one-way ANOVA and two-way ANOVA tests. The statistical
significance was accepted at the p < 0.05 level
and indicated in figures as * p < 0.05, ** p < 0.01, and *** p < 0.001. The Z-factor used in Figure S3 was
defined as 1 – [(3(σp + σn))/|μp –
μn|], in terms of the means (μ) and standard deviations
(σ).
Safety Statement
No unexpected or unusually high safety
hazards were encountered.
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