Jyoti Kumari1,2, Frank A D T G Wagener2, Paul H J Kouwer1. 1. Institute for Molecules and Materials, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands. 2. Department of Dentistry - Orthodontics and Craniofacial Biology, Radboud University Medical Centre, 6525 EX Nijmegen, The Netherlands.
Abstract
The driving factors causing fibrosis and scar formation include fibroblast differentiation into myofibroblasts and hampered myofibroblast apoptosis, which ultimately results in collagen accumulation and tissue contraction. Currently, only very few drugs are available for fibrosis treatment, and there is an urgent demand for new pharmaceutical products. High-throughput in vitro fibrosis models are necessary to develop such drugs. In this study, we developed such a novel model based on synthetic polyisocyanide (PIC-RGD) hydrogels. The model not only measures contraction but also allows for subsequent molecular and cellular analysis. Fibroblasts were seeded in small (10 μL) PIC-RGD gels in the absence or presence of TGFβ1, the latter to induce myofibroblast differentiation. The contraction model clearly differentiates fibroblasts and myofibroblasts. Besides a stronger contraction, we also observed α-smooth muscle actin (αSMA) production and higher collagen deposition for the latter. The results were supported by mRNA expression experiments of αSMA, Col1α1, P53, and Ki67. As proof of principle, the effects of FDA-approved antifibrotic drugs nintedanib and pirfenidone were tested in our newly developed fibrosis model. Both drugs clearly reduce myofibroblast-induced contraction. Moreover, both drugs significantly decrease myofibroblast viability. Our low-volume synthetic PIC-RGD hydrogel platform is an attractive tool for high-throughput in vitro antifibrotic drug screening.
The driving factors causing fibrosis and scar formation include fibroblast differentiation into myofibroblasts and hampered myofibroblast apoptosis, which ultimately results in collagen accumulation and tissue contraction. Currently, only very few drugs are available for fibrosis treatment, and there is an urgent demand for new pharmaceutical products. High-throughput in vitro fibrosis models are necessary to develop such drugs. In this study, we developed such a novel model based on synthetic polyisocyanide (PIC-RGD) hydrogels. The model not only measures contraction but also allows for subsequent molecular and cellular analysis. Fibroblasts were seeded in small (10 μL) PIC-RGD gels in the absence or presence of TGFβ1, the latter to induce myofibroblast differentiation. The contraction model clearly differentiates fibroblasts and myofibroblasts. Besides a stronger contraction, we also observed α-smooth muscle actin (αSMA) production and higher collagen deposition for the latter. The results were supported by mRNA expression experiments of αSMA, Col1α1, P53, and Ki67. As proof of principle, the effects of FDA-approved antifibrotic drugs nintedanib and pirfenidone were tested in our newly developed fibrosis model. Both drugs clearly reduce myofibroblast-induced contraction. Moreover, both drugs significantly decrease myofibroblast viability. Our low-volume synthetic PIC-RGD hydrogel platform is an attractive tool for high-throughput in vitro antifibrotic drug screening.
Fibrosis is characterized
by the overgrowth, hardening, and scarring
of tissues and leads to functional impairment, morbidity, and mortality.[1] It can damage the important organs of the human
body including the liver, lung, kidney, and skin. Although fibrosis
is considered to contribute to 30–45% of deaths worldwide,
only a few therapeutics are available.[2−4] Key mediators of fibrosis
are myofibroblasts, differentiated fibroblasts that produce and deposit
an excess of extracellular matrix (ECM) components including collagen.
Fibrosis occurs when the production of new collagen by myofibroblasts
exceeds its degradation rate. In addition, myofibroblasts induce tissue
contraction, which is driven by the interaction between α smooth
muscle actin (αSMA) and myosin.As myofibroblasts play
a central role in organ fibrosis, drugs
targeting fibroblast differentiation or myofibroblast survival display
great therapeutic potential.[5] Currently,
various drugs have been developed to treat fibrosis, but only a few
of them have reached the clinical level. One of the examples is nintedanib
that has been approved by the FDA for its antifibrotic activity against
primary lung fibroblasts from patients suffering from idiopathic pulmonary
fibrosis (IPF) and in dermal fibroblasts for patients with systemic
sclerosis.[6,7] As a tyrosine kinase inhibitor, nintedanib
treats fibrosis by inhibiting activity of the vascular endothelial
growth factor receptor (VEGFR), fibroblast growth factor receptors
(FGFR) 1 and 2, and platelet-derived growth factor (PDGF) receptors
α and β23, thereby reducing proliferation, migration,
and differentiation of fibroblasts.[7] Another
promising drug is pirfenidone, an FDA-approved drug for IPF treatment[8] that has been shown to inhibit differentiation
of fibroblasts into myofibroblasts in a mouse model and to mitigate
the effect of differentiated myofibroblasts.[9] The antifibrotic effect of pirfenidone is accomplished mainly by
reducing the levels of transforming growth factor (TGFβ1), basic
fibroblast growth factor (bFGF), and PDGF.[10−12]Potential
drugs for treating fibrosis (or any other disease) need
to undergo a severe drug screening process, including preclinical
drug testing involving both in vitro and in vivo studies as well as toxicity tests. The first steps
in the pharmacological analysis comprise in vitro studies, requiring robust biologically relevant models. For fibrosis
research, a well-established test is a contraction assay that measures
cell-induced macroscopic contraction of a three-dimensional (3D) gel
with encapsulated (myo)fibroblasts. Currently, the gold standard matrix
in these assays is collagen, which is also abundantly present in many
tissues. Although functional, the collagen assays present limited
opportunities for tailoring the matrix, and to avoid indiscriminate
contraction of the material, the volume of the assay needs to be increased,[13] which interferes with fast and high-throughput
screening protocols. These disadvantages and the inherent variability
of animal-derived materials prompted us to pursue better and more
reliable assay materials.Recently, we developed a synthetic
temperature responsive hydrogel
that mimics the architecture and mechanical properties of natural
ECM proteins such as collagen and fibrin.[14,15] The gels are based on polyisocyanides (PICs), and their synthetic
nature allows full control over the gel structure, mechanical properties,
and (bio)functionalization. Moreover, the gel is thermoresponsive,
which means that a PIC polymer solution is liquid at lower temperatures
(<20 °C), while as the temperature increases, the polymer
chains bundle together and form a hydrogel that efficiently entraps
water, even at low polymer concentrations. Like other gels built up
of from semiflexible fibers (like collagen and fibrin), PIC gels do
not swell.[16] Moreover, PIC gels share unique
mechanical features with collagen and fibrin gel, including strain
stiffening and compression softening,[17] underscoring the potential of PIC gels to fully capture the ECM
properties in a completely synthetic environment. In contrast to the
biological gel, the synthetic PIC gels are not sensitive to proteolytic
cleavage, which means that remodeling can only occur using physical
mechanisms.[18,19] To induce the required cell-matrix
interactions, PIC gels need decoration with a cell adhesive peptide,
for example, arginine-glycine-aspartic acid (RGD)-based peptides that
are commonly used to biofunctionalize artificial matrices.In
the present study, we used RGD-decorated PIC hydrogel (PIC-RGD)
to develop a contraction-based fibrosis model. First, fibroblasts
were cultured in a three-dimensional (3D) PIC-RGD matrix in the absence
or presence of TGFβ1, which is well-known for inducing differentiation
of fibroblasts into myofibroblasts. We optimized the assay to a hydrogel
concentration where the difference in contraction of fibroblasts and
myofibroblasts is optimal. To confirm that the observed contraction
is myofibroblast-induced, the assay was validated by studying cell
viability, proliferation, spreading, fibroblast differentiation, and
protein and gene expression. To demonstrate the potential and expediency
of the assay, we screened the effect of two antifibrotic drugs, nintedanib
and pirfenidone.
Materials and Methods
Materials
Fetal bovine serum (FBS), Dulbecco’s
modified Eagle’s medium (DMEM), Trypsin-EDTA, CCK-8, DBCO-Cy3,
Triton X-100, TGFβ1, 4′,6-diamidino-2-phenylindole (DAPI),
and primary antibodies against human alpha smooth muscle actin (α-SMA,
clone 1A4) and produced in mice were purchased from Sigma (St. Louis,
MO, USA). Primary rabbit anti-human collagen type 1 (COL-1) was bought
from Cedarlane Laboratories (Burlington, Canada). Phalloidin Alexa
Fluor 568, Calcein Am, and TOTO-3 were purchased from Invitrogen.
Alexa Fluor 488 labeled goat anti-mouse secondary antibody was obtained
from Molecular Probes Life Technologies. Alexa Fluor 488 labeled goat
anti-rabbit secondary antibody was from Invitrogen (Thermo Fisher
Scientific, United Kingdom). CNA35-OG488 was obtained from the Department
of Biomedical Engineering (TU/e Eindhoven, The Netherlands). For purified
water, Milli-Q was used.
Synthesis of the PIC-RGD Hydrogel
PIC was synthesized
as reported earlier.[20,21] Briefly, PIC was prepared through
random copolymerization of two monomers: the methyl-appended isocyano-(d)-alanyl-(l)-alanyl-tri(ethylene glycol) and the corresponding
azide-appended monomer, in the presence of a Ni(ClO4)2·6H2O catalyst. In the polymerization, 3.3
mol % azide monomer was used, and the total monomer to catalyst ratio
was 1000:1. Monomers and catalysts were mixed in toluene, and the
reaction mixture was stirred overnight at room temperature. The completion
of the reaction was confirmed by FTIR,[21] which showed the disappearance of the isocyanide absorption at 2140
cm–1. The polymer was then precipitated in diisopropyl
ether under vigorous stirring and isolated by centrifugation. The
polymer was further dissolved in dichloromethane and precipitated
in diisopropyl ether two more times.PIC biofunctionalization
followed earlier protocols.[22] The GRGDS
peptide (H-Gly-Arg-Gly-Asp-Ser-OH, Bachem Germany, 1.4 mg) dissolved
in borate buffer (0.25 mL) was mixed with DBCO-PEG4-NHS (Bioconjugate
Technologies, Scottsdale, US, 2.1 mg) dissolved in DMSO (0.3 mL).
The mixture was reacted at room temperature for 4 h. Full conversion
of the reaction was confirmed with mass spectrometry. The azide-decorated
polyisocyanide was dissolved in acetonitrile (2.5 mg/mL), the DBCO–peptide
conjugate was added in a 1:1 ratio of azide to DBCO, and the reaction
was stirred at room temperature for 24 h. After the reaction, the
GRGDS-conjugated polymer (PIC-RGD) was precipitated in diisopropyl
ether, collected by centrifugation, air-dried, and stored in the form
of a pellet. The PIC-RGD pellets were then UV sterilized at 254 nm
for 10 min and dissolved in sterile PBS at a concentration of 8 mg/mL
at 4 °C overnight. The dissolved polymer was then aliquoted and
stored at −20 °C to be used at the time of cell seeding.
Pore Size Characterization
Qualitative pore size analysis
of the PIC-RGD hydrogels using confocal microscopy followed earlier
described procedures.[23] The different concentrations
of PIC-RGD solutions were mixed with DBCO-Cy3 (20 μM) and incubated
at 4 °C for 30 min. After incubation, the solution was directly
added on a microplate to form the hydrogel and incubated at 37 °C
for 1 h, followed by imaging on a Leica SP8× confocal microscope.
Rheology
Rheology experiments were carried out in a
rheometer (Discovery HR-1, TA Instruments) using a steel parallel
plate geometry (20 mm). A hydrogel solution was loaded on the precooled
(5 °C) bottom plate, and after lowering the top plate, a temperature
ramp to 37 °C at a rate of 8 °C/min was started, followed
by a time sweep of 15 min. Mechanical data in the manuscript is recorded
in the linear viscoelastic regime at 1% strain with a 1 Hz frequency.
Cell Culture and Cell Seeding in the PIC-RGD Hydrogel
Fibroblasts
derived from human foreskins (HFFs) were cultured in
Dulbecco’s modified Eagle’s medium (DMEM) containing
10% fetal bovine serum (FBS) and 1% penicillin/streptomycin until
80–90% confluency as described previously.[24] Cells were used between passages 7–12. At the time
of seeding, cells were harvested using trypsin-EDTA and resuspended
in the complete medium after centrifugation. Hydrogels of different
polymer concentrations (1, 2, 4, and 8 mg/mL) were prepared using
a polymer stock solution with a similar number of cells at a final
density of 106 cells/mL. Cell-polymer solutions of 100
μL or 10 μL were used in the case for 96-well plates and
microplates (uncoated, Ibidi GmbH, Martinsried, Germany), respectively.
After seeding, the plates were then incubated at 37 °C, 5% CO2 for 30 min. The medium (200 μL for 96-well plates and
50 μL for microplates) in the absence or presence of human TGFβ1
(10 ng/mL) was added on top of the hydrogels. The medium was refreshed
on day 3. Cell seeding, medium addition, medium refreshment, and staining
procedures were carried out on a hot plate (37 °C) inside the
cell-culture hood.Collagen gels were used as the control for
the PIC-RGD hydrogels. The collagen gel solution was prepared using
collagen type I, which was then mixed with α-MEM (10X), HEPES
(1M), NaHCO3 (7.5%), and NaOH (10M) to a final concentration
of 0.5 and 1 mg/mL. The number of cells and the subsequent cell seeding
process were kept similar as described above.
Cell Spreading on the PIC-RGD
Hydrogel
Cell spreading
was analyzed by bright field imaging and by confocal fluorescence
microscopy after cytoskeleton staining using Phalloidin Alexa Fluor
568. The imaging and staining were performed at days 3 and 6. Before
staining, the medium from cell-seeded hydrogels was removed, and the
hydrogels were fixed for 10 min with 4% paraformaldehyde at 37 °C.
The cells encapsulated in hydrogels were permeabilized using 0.5%
Triton X-100/PBS. The phalloidin (400X stock solution, 1:400) was
added for 1 h, followed by washing with warm 0.05% Tween-20/PBS, and
counterstained with DAPI (1 mg/mL, 1:100) for 15 min. Finally, hydrogels
were washed with warm PBS, and samples were imaged on a Leica SP8×
confocal microscope.
Gel Contraction Assay
Microplates
were used to measure
contraction in PIC-RGD hydrogels and collagen gel. At each time point,
bright field images were taken using an inverted microscope using
a 2.5× objective. Covered areas were measured using NIH ImageJ
software version 1.51. Contraction is expressed as the percentage
of hydrogel contracted compared to the total area of the plate following eq where A0 is the area of the plate, and At is
the area occupied by the hydrogel at time t.
Live–Dead
Assay
Live–dead assays were
carried out in the microplate. For staining, first, the spent medium
was removed from the hydrogel. Solutions of Calcein AM (2 mM; 1:1000)
and TOTO-3 (1 mM; 1:1000) were prepared in the medium (37 °C)
and added on the hydrogel. The plate was then incubated for 1 h at
37 °C, 5% CO2 followed by one single PBS wash. The
images were taken using a Leica SP8× confocal microscope at 37
°C.
Cell Viability Assay
Cell viability was analyzed in
a 96-well plate using a Cell Counting Kit-8 (CCK-8) assay following
the manufacturer’s instructions. Briefly, the CCK-8 solution
(1:10) was prepared in the basal medium, and 100 μL of the solution
was added on top of the hydrogel after removing the spent medium.
After 2 h of incubation at 37 °C, the absorbance at 450 nm was
measured using a plate reader.
QuantiFluor dsDNA Assay
The DNA concentration was analyzed
using a QuantiFluor dsDNA assay kit (Promega, Madison, USA). On the
day of analysis, the cell culture medium was removed from the hydrogel.
After washing with PBS, the 96-well plate was placed on ice for 20
min to liquify the hydrogel. Then, 500 μL of Milli-Q was added
to each well, and the plate was stored at −20 °C. For
analysis, the sample was further diluted with Milli-Q to reach fluorescence
values within the range of the standard curve. The quantification
was performed according to the manufacturer’s instructions.
Briefly, the QuantiFluor dye was prepared in a 1× tris-EDTA buffer
(1:200). The diluted sample (in total 50 μL) was mixed with
the dye solution (50 μL), pipetted into a flat black 96-well
plate, and incubated at room temperature in the dark for 5 min. In
a plate reader (Tecan Spark M10 plate reader), the samples were excited
at λ = 485 nm, and the fluorescence intensity was recorded at
530 nm. The reported fluorescence intensities are normalized to day
0 values.
Total Collagen Production
Total
collagen production
was analyzed using a fluorescent collagen probe known as CNA35-OG488,
which binds to all different types of collagen.[25] The staining protocol of the manufacturer was used. Briefly,
on day 6, the cells encapsulated in the hydrogels were fixed by adding
4% paraformaldehyde and incubating for 10 min at 37 °C. CNA35-OG488
in PBS (1 μM) was added to the hydrogel, and the samples were
incubated overnight at 37 °C. The hydrogel was then washed with
PBS. DAPI (1 mg/mL, 1:100) was then added for 15 min to stain the
nuclei. Images were captured using a Leica SP8× confocal microscope.
Fluorescent Immunostaining
For αSMA imaging,
the cell encapsulated hydrogels were fixed with 4% paraformaldehyde
at 37 °C, 5% CO2 for 10 min in the microplate. After
PBS washing, the hydrogel was permeabilized with 0.5% Triton X-100/PBS
for 20 min and blocked in 10% bovine serum albumin (BSA) for 1 h.
Then, the hydrogels were incubated with primary mouse anti-human αSMA
(1:800) or rabbit anti-human COL-1 (1:200) at 37 °C in an incubator
overnight. After washing with warm 0.05% Tween-20/PBS, Alexa Fluor-488
labeled goat anti-mouse or goat anti-rabbit secondary antibody (1:200)
was added for 1 h and incubated at 37 °C. DAPI (1 mg/mL, 1:100)
was then added for 15 min to stain the nuclei. Images were captured
using a Leica SP8× confocal microscope.
RT-PCR
To extract
the cells from the PIC-RGD hydrogel,
the excess medium was pipetted from the culture, followed with a single
wash with PBS. Then, cold PBS (4 °C) was added on the hydrogel
for 5 min, and the solutions were collected into a tube to centrifuge
at 400 rcf for 5 min at 4 °C. Here, cold PBS facilitates the
liquification of the hydrogel, allowing easy isolation of the cell
pellets. Total RNA was extracted from the cell pellets using the RNeasy
Micro Kit (Qiagen) according to the manufacturer’s instructions.
The RNA was then converted into cDNA using the iSCRIPT cDNA synthesis
kit (BIO RAD). qRT-PCR was done using SYBR green supermix (BIO RAD)
using forward and reverse primers (Table ) with the reaction conditions of 3 min at
95 °C, followed by 39 cycles of 95 °C for 15 s and 60 °C
for 30 s. The average Ct value of experimental,
control, and reference (GAPDH) genes was used to
calculate ΔCt and ΔΔCt as follows:The gene expression is represented
in terms of fold change (= 2–ΔΔ).
Table 1
Primer Sequences
for Real Time PCR
gene
forward primer
reverse primer
GAPDH
TGC ACC ACC AAC TGC TTA GC
GGC ATG GAC TGT GGT CAT GA
αSMA
GCT CAC GGA GGC ACC CCT GAA
TCC AGA GTC CAG CAC GAT G
COL1α1
CAG CCG CTT CAC CTA CAG C
TCA ATC ACT GTC TTG CCC CA
p53
GCA TTC TGG GAC AGC
CAA GT
GTG GTG ACT GCT
TGT AGA TG
Ki67
AAA CCA ACA AAG AGG AAC ACA AAT T
GTC TGG AGC GCA GGG ATA TTC
Antifibrotic Drug Treatment
To study the effect of
nintedanib and pirfenidone on the developed contraction model, fibroblasts
were cultured in the PIC-RGD hydrogel in the presence or absence of
TGFβ1 (10 ng/mL) until day 6. At day 6, nintedanib (1 μM)
or pirfenidone (500 μg/mL) was added in separate wells in the
presence or absence of TGFβ1 (10 ng/mL). After 24 h, the effects
of the drugs were checked in terms of contraction, cell viability,
αSMA production, and gene (αSMA, Col1α1, p53, and Ki67) analysis.
Image Analysis
All the immunofluorescence
images were
analyzed using ImageJ following earlier described protocols.[26] Briefly, cell areas, mean gray values, and integrated
densities were measured for several randomly selected areas of interest
as well as for background regions (areas without fluorescence). The
total number of cells was counted in each region of interest to normalize
the fluorescence intensities. In the manuscript, the quantified fluorescence
is expressed as the corrected total cell fluorescence (CTCF), which
is calculated from CTCF = integrated density – (area of selected
cell × mean fluorescence of background readings).
Statistical
Analysis
All data in the manuscript were
presented as mean ± standard deviation. Sample sizes are given
in the caption. The significance of the differences between the mean
values of the two groups is assessed by the Student’s t test where P < 0.05 was considered
as statistically significant.
Results
Physical Properties
of PIC-RGD Hydrogels
To render
the polymers biocompatible, PIC that was statistically decorated with
azide groups[20] (3.3 mol %) reacted with
a DBCO-functionalized cell binding peptide (RGD) via the strain-promoted
azide–alkyne click chemistry (SPAAC) reaction, as described
before[27] (Figure A). A detailed description is given in the Materials and Methods section. Gels were formed
by stirring the solid polymer with the medium at 4 °C and after
full dissolution heating the sample to 37 °C. The PIC fibers
form a 3D interconnected fibrillar network leading to a heterogeneous
porous architecture that forms the PIC hydrogel.[23] Confocal images of the Cy3-labeled hydrogel, obtained after
conjugating a small fraction of the azide moieties with a DBCO-functionalized
Cy3 dye (Cy3-DBCO) using the SPAAC reaction, clearly show the porous
morphology of the gel. For a gel with a concentration of 1 mg/mL PIC-RGD,
the pore size measures approximately between 1 and 5 μm (Figure B), which is in line
with a more detailed study on PIC gel porosity,[23] where a quantitative analytical approach was used to determine
gel pore sizes as a function of PIC concentration, which we carried
out earlier. We note that, in our hands, cryoSEM experiments give
beautiful images, but the results are highly susceptible to artifacts
from sample preparation; and we prefer not to extract quantitative
data from the images. Although for higher polymer concentrations (2,
4, and 8 mg/mL PIC-RGD), it becomes increasingly difficult to analyze
the exact pore sizes through confocal microscopy, and the decrease
in pore size with increasing concentrations is easily visible.
Figure 1
Structure and
physical properties of PIC-RGD hydrogels. A) RGD
conjugation reaction to form the PIC-RGD polymers. B) Confocal fluorescence
microscopy images of PIC-RGD hydrogels at different concentrations.
The scale bar is 20 μm. C) Storage modulus G′ of different PIC-RGD hydrogels. The experimental data has
been fitted to a power law function.
Structure and
physical properties of PIC-RGD hydrogels. A) RGD
conjugation reaction to form the PIC-RGD polymers. B) Confocal fluorescence
microscopy images of PIC-RGD hydrogels at different concentrations.
The scale bar is 20 μm. C) Storage modulus G′ of different PIC-RGD hydrogels. The experimental data has
been fitted to a power law function.The mechanical properties of the gels at different concentrations
were assessed by oscillatory shear rheology (Figure C). Gel formation as a function of temperature
is clearly observed from the rheology traces where the gelation temperature, Tgel ∼ 20 °C, is marked as the onset
of the increase in storage modulus G′ (Figure S1A). At T = 37 °C,
all concentration gels formed a mostly elastic material with G′ ≫ G″ where G″ represents the loss modulus. Further analysis
showed that over the fully probed frequency regime (0.1–10
Hz) G′ and G″ are
constant (Figure S1B). Note that for the
low concentrations G″ is too small to give
accurate data. The increase of the storage modulus G′ with the polymer concentration follows the power law G′ ∼ c2.25 where c is the polymer concentration. This result is fully in
line with the theory for these types of fibrous (semiflexible) polymer
networks[28] and with previous results.[29]
TGFβ1 Treatment-Induced Fibroblast
Differentiation into
Myofibroblasts
To be able to discriminate between the behavior
of fibroblasts and myofibroblasts, we confirmed that the treatment
with TGFβ1 indeed activated our human foreskin fibroblasts.
The cells were cultured in the presence of 10% FBS and 10 ng/mL TGFβ1
for 3 days on a tissue culture plate (Supplementary Figures S2A and S2B). The initial concentration of TGFβ1
was chosen based on a literature protocol.[24] Immunostaining for αSMA confirmed the differentiation of fibroblasts
into myofibroblasts in the presence of TGFβ1 (P = 0.0007). Note that lower serum concentrations reduced myofibroblast
differentiation (data not shown). In the remainder of the manuscript,
fibroblasts that were cultured in the presence of TGFβ1 are
considered myofibroblasts.
Cells Spreading Inside the PIC-RGD Hydrogels
As fibroblast
and myofibroblast cell behavior will strongly depend on the mechanical
properties of the microenvironment, we seeded the cells in hydrogels
of different concentrations (1, 2, 4, and 8 mg/mL) and, thus, different
stiffnesses (G′ = 10–1460 Pa). Cell
spreading at days 3 and 6 after incubation was visualized with bright
field microscopy and with confocal fluorescence microscopy after staining
for F-actin and nuclei (Figure A–D). The fluorescence data was quantified and normalized
to the number of cells to give corrected total cell fluorescence (CTCF)
values (Figure E).
Figure 2
Cell spreading
in different concentrations of the PIC-RGD hydrogel.
A–D) Bright field and confocal images showing cell spreading
in the 1, 2, 4, and 8 mg/mL PIC-RGD hydrogel at day 3 (left column)
and day 6 (right column). E) Quantitative analysis of confocal images.
CTCF of the red channel was calculated and normalized to the number
of cells; number of images n = 5. Staining: F-actin;
red stained with Phalloidin Alexa Fluor 568 and counterstained with
DAPI for nucleus (blue) staining. Scale bars: panels A–D, 100
μm. Statistical analysis with an unpaired t test. P-values > 0.05 are considered not significant;
significant differences: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001;
****, P ≤ 0.0001.
Cell spreading
in different concentrations of the PIC-RGD hydrogel.
A–D) Bright field and confocal images showing cell spreading
in the 1, 2, 4, and 8 mg/mL PIC-RGD hydrogel at day 3 (left column)
and day 6 (right column). E) Quantitative analysis of confocal images.
CTCF of the red channel was calculated and normalized to the number
of cells; number of images n = 5. Staining: F-actin;
red stained with Phalloidin Alexa Fluor 568 and counterstained with
DAPI for nucleus (blue) staining. Scale bars: panels A–D, 100
μm. Statistical analysis with an unpaired t test. P-values > 0.05 are considered not significant;
significant differences: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001;
****, P ≤ 0.0001.At day 3, both fibroblasts and myofibroblasts spread more in lower
concentration PIC-RGD than in the higher concentration gels. Comparing
fibroblasts and myofibroblasts, we find that myofibroblasts spread
more in the low concentration hydrogels (1 and 2 mg/mL, Figure A,B), and we observe no differences
when the gel becomes more concentrated (Figure C,D). At day 6, cell spreading in the 1 mg/mL
gel decreased due to breakage of the hydrogel. Moreover, this hydrogel
was very fragile and contracted too much to consider further. For
the 2, 4, and 8 mg/mL gels, spreading increased with respect to day
3. Comparing cells cultured in the absence and presence of TGFβ1
shows that the myofibroblasts spread more (P = 0.0167,
0.0124, and 0.0001, respectively). Increased cell spreading also led
to more cell–cell interactions, which, subsequently, promoted
hydrogel contraction. In the case of collagen, due to its highly contractive
nature it is difficult to observe cell spreading (data not shown).
Macroscopic Contraction Studies
Macroscopic hydrogel
contraction was measured following fibroblast encapsulation (in the
absence or presence of TGFβ1) using bright field imaging. The
results are quantified as the relative decrease in the hydrogel area
compared to the gel at the time of seeding (or the size of the well),
see eq . As expected,
PIC-RGD hydrogel seeded myofibroblasts displayed more contraction
than those with fibroblasts (Figure A). In addition, the contraction strongly depended
on the polymer concentration (Figure B). In the case of 1 mg/mL PIC-RGD, both the myofibroblast
cultures (day 3: 74% ± 4%, day 6: 94% ± 2%) and the fibroblast
cultures showed contraction (day 3: 30% ± 5%, day 6: 86% ±
4%), albeit the latter less than the former (Figure S3). Contrarily, at the highest PIC-RGD concentration (8 mg/mL),
even after 6 days no contraction was observed in any of the gels,
irrespective of the presence of TGFβ1. Interestingly, in the
2 mg/mL PIC-RGD hydrogel, fibroblasts showed no contraction at day
3, whereas the myofibroblast contracted the gel 46% ± 10%. Further
at day 6, the difference was similarly large: fibroblast contraction
of 17% ± 6% versus myofibroblast-induced gel contraction of 86%
± 3%. In 4 mg/mL hydrogels, the difference in contraction between
fibroblasts and myofibroblasts was less pronounced: fibroblasts showed
no contraction at day 3 and 12% ± 2% at day 6; myofibroblasts
contracted by 30% ± 5% at day 6.
Figure 3
Hydrogel contraction and the live–dead
assay for different
concentrations of PIC-RGD hydrogels. A) Bright field images showing
contraction in hydrogels seeded with fibroblasts in the absence or
presence of TGFβ1 at day 6. B) Percentage contraction in the
1, 2, 4, and 8 mg/mL PIC-RGD hydrogel at day 3 and day 6 (n = 3). C) Confocal images of live–dead assays at
day 6. Living cells and dead cells were stained with Calcein-AM (green)
and TOTO-3 (red), respectively. D) Quantitative analysis of the live–dead
confocal images. Data is given as the ratio of the CTCF values of
the green and red channels. Number of images analyzed: n = 8. Scale bars: panel A, 500 μm and panel C, 100 μm.
Statistical analysis with an unpaired t test. P-values > 0.05 are considered not significant; significant
differences: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.
Hydrogel contraction and the live–dead
assay for different
concentrations of PIC-RGD hydrogels. A) Bright field images showing
contraction in hydrogels seeded with fibroblasts in the absence or
presence of TGFβ1 at day 6. B) Percentage contraction in the
1, 2, 4, and 8 mg/mL PIC-RGD hydrogel at day 3 and day 6 (n = 3). C) Confocal images of live–dead assays at
day 6. Living cells and dead cells were stained with Calcein-AM (green)
and TOTO-3 (red), respectively. D) Quantitative analysis of the live–dead
confocal images. Data is given as the ratio of the CTCF values of
the green and red channels. Number of images analyzed: n = 8. Scale bars: panel A, 500 μm and panel C, 100 μm.
Statistical analysis with an unpaired t test. P-values > 0.05 are considered not significant; significant
differences: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.The behavior in the PIC-RGD hydrogels was compared with the commonly
used collagen model, which represents the gold standard in the field.
We note that in our setup, the volume of the assays (10 μL)
is many times smaller than for commonly used collagen assays. As a
result, our collagen results may not be completely in line with the
results of “default” collagen-based assays. We observed
that the 10 μL samples of 0.5 and 1 mg/mL collagen nearly completely
contracted (contraction >95%) already at day 1 after encapsulation
(Figures S4A and S4B). Moreover, we found
no difference in contraction between the 0.5 and 1 mg/mL collagen
gels.
Live–Dead Staining of Cells Encapsulated in PIC-RGD Hydrogels
The cell culture matrix as well as its contraction may affect cell
viability and proliferation. We measured viability in all concentrations
of PIC-RGD hydrogels through a live–dead assay (Figure C) with staining live cells
with calcein-AM (green) and dead cells with TOTO-3 (red). The fluorescence
images show that in all cases the larger share of the cells is alive.
In the case of hydrogels, it is difficult to count the viable and
dead cells, and therefore, we determined the CTCF of green and red
channels; the results were presented as a ratio. Subsequent image
analysis showed that the ratio of CTCF of viable cells to dead cells
was more than 1 in the different PIC-RGD hydrogels at day 6 (Figure D). In the collagen
gel, however, a significant number of cells were dead, in the presence
and absence of TGFβ1 (Figure S4C).
Image analysis confirmed these results, showing ratios of live to
dead cells < 1, both at day 3 and day 6 (Figure S4D).Based on the high difference in contraction between
the fibroblasts and the myofibroblasts, in combination with the positive
live–dead assay results in the PIC-RGD gels, we concluded that
matrices with the 2 and 4 mg/mL PIC-RGD hydrogels are the most suitable
candidates to fabricate the contraction assay. Both hydrogels show
clear contraction responses which can be used to readily discriminate
between the two cell types. As a consequence, we focused our studies
further on the 2 and 4 mg/mL PIC-RGD hydrogel concentrations. In the
following sections, we provide a more detailed picture on how cell
behavior depends on the culture conditions and how we can exploit
the differences between fibroblasts and myofibroblasts to further
develop the contraction model.
Biocompatibility of PIC-RGD
Hydrogels
Besides viability,
we analyzed mitochondrial activity through a CCK8 assay (Figure A) and cell densities
through a QuantiFluor total DNA quantification (Figure B). The results show that in 2 mg/mL PIC-RGD,
mitochondrial activity and total DNA content are higher for myofibroblasts
than for fibroblasts and higher at day 6 than at day 3. The latter
results suggest continued proliferation. In the more concentrated
4 mg/mL gel, the activation of the fibroblasts by TGFβ1 has
a much smaller effect.
Figure 4
Cell viability, hydrogel staining, and total collagen
production
in PIC-RGD hydrogels seeded with fibroblasts in the absence or presence
of TGFβ1. A) CCK8 assay results for cell viability at day 3
and day 6; n = 3. B) QuantiFluor total DNA quantification
assay at day 3 and day 6; n = 3. C) Confocal image
of the PIC-RGD cell cultures. Polymers were stained with DBCO-Cy3
(green), and the cytoskeleton was stained with Phalloidin Alexa Fluor
568 (red) and counterstained with DAPI for the nuclei (blue). D) Quantitative
analysis of DBCO-Cy3 confocal images. The CTCF of the green channel
was normalized to the number of cells; n = 12 images.
E) Confocal fluorescence images of collagen stained with CNA35-OG488
(green) and counterstained with DAPI for the nuclei. F) Quantitative
analysis of CNA35-OG488 confocal images; n = 22 images.
Scale bars: panel C, 20 μm and panel E, 100 μm. Statistical
analysis with an unpaired t test. P-values > 0.05 are considered not significant; significant differences:
*, P ≤ 0.05; **, P ≤
0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.
Cell viability, hydrogel staining, and total collagen
production
in PIC-RGD hydrogels seeded with fibroblasts in the absence or presence
of TGFβ1. A) CCK8 assay results for cell viability at day 3
and day 6; n = 3. B) QuantiFluor total DNA quantification
assay at day 3 and day 6; n = 3. C) Confocal image
of the PIC-RGD cell cultures. Polymers were stained with DBCO-Cy3
(green), and the cytoskeleton was stained with Phalloidin Alexa Fluor
568 (red) and counterstained with DAPI for the nuclei (blue). D) Quantitative
analysis of DBCO-Cy3 confocal images. The CTCF of the green channel
was normalized to the number of cells; n = 12 images.
E) Confocal fluorescence images of collagen stained with CNA35-OG488
(green) and counterstained with DAPI for the nuclei. F) Quantitative
analysis of CNA35-OG488 confocal images; n = 22 images.
Scale bars: panel C, 20 μm and panel E, 100 μm. Statistical
analysis with an unpaired t test. P-values > 0.05 are considered not significant; significant differences:
*, P ≤ 0.05; **, P ≤
0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.
Cell-Gel Interactions in
PIC-RGD Hydrogels
In addition
to the macroscopic contraction assay, we visualized matrix contraction
at the cellular length scale by repeating the cell-culture experiment
in fluorescently labeled (Cy3) PIC-RGD, which was introduced before.
The Cy3 stained the pure hydrogel uniformly (Figure ), but when cells are seeded with the hydrogel,
the staining intensity of Cy3 was found to vary at different locations
within the hydrogel, which we attribute to the local densification
of the matrix as a result of cellular contraction (Figure C). We highlight that in the
contracted hydrogel, the Cy3-stained fibers that are closer to the
cells show increased fluorescence intensity. This effect was even
stronger within the microenvironment of myofibroblasts than close
to fibroblasts in both hydrogels (2 mg/mL, +/– TGFβ1: P = 0.0048; 4 mg/mL, +/– TGFβ1: P = 0.0134), which is in line with the observed macroscopic contraction.
Furthermore, the increased fluorescence intensity of the gel near
contracting cells was observed more in the softer gel where the polymer
chains can be displaced easier (P = 0.0045) (Figure D). These results
further support our finding that (macroscopic) gel contraction decreases
with increasing concentration of the PIC-RGD gel.
Total Collagen
Production in PIC-RGD Gels
During fibrosis,
the total amount of collagen often increases after deposition by myofibroblasts.
Excreted collagen was visualized by staining with CNA35-OG488, which
is a fluorescently labeled adhesion protein that specifically binds
with collagen (Figure E). The quantification of green fluorescent signals by CTCF showed
significantly higher signal in myofibroblasts compared to fibroblasts
for both the 2 and 4 mg/mL PIC-RGD hydrogels, confirming increased
collagen deposition by the myofibroblasts (Figure F).
COL-1 and αSMA Production in PIC-RGD
Gels
The
increased contraction in cultures with TGFβ1 is indicative of
differentiation of the fibroblasts toward myofibroblasts. The transition
was confirmed by immunostaining for COL-1 and αSMA. COL-1 staining
showed increased expression in the presence of TGFβ1 for both
the 2 and 4 mg/mL PIC-RGD hydrogels (Figures A and 5B). Further,
αSMA immunostaining showed that at day 3 as well as at day 6
and for both hydrogel concentrations, the myofibroblasts expressed
more αSMA than the fibroblasts (Figure C). In addition, quantitative analysis of
the results showed a significantly increased number of αSMA-positive
myofibroblasts at day 6 compared to day 3 (again for both PIC-RGD
concentrations) for the cells cultured in the presence of TGFβ1
(Figure D). The results
confirm that PIC-RGD hydrogels at day 6 are suitable as a fibrotic
cell culture model.
Figure 5
Immunostaining and gene expression analysis of fibroblasts
cultured
in the 2 and 4 mg/mL PIC-RGD hydrogels in the presence or absence
of TGFβ1. A) Confocal fluorescence image of immunostaining with
COL-1 (green) counterstained with DAPI for the nuclei (blue) at day
6. B) Quantitative image analysis of COL-1 production at day 6, normalized
to the number of cells; n = 22. C) Confocal fluorescence
image of immunostaining of α-SMA (red) counterstained with DAPI
for the nuclei (blue) at days 3 and 6. D) Quantitative image analysis
of α-SMA production, normalized to the number of cells; n = 16. E) mRNA gene-expression analysis of α-SMA, Col1α1, P53, and Ki67 of fibroblasts and myofibroblasts in the 2 or 4 mg/mL
PIC-RGD hydrogel at days 3 and 6. Scale bars in panels A and C: 100
μm. Statistical analysis with an unpaired t test. P-values > 0.05 are considered not significant;
significant differences: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001;
****, P ≤ 0.0001.
Immunostaining and gene expression analysis of fibroblasts
cultured
in the 2 and 4 mg/mL PIC-RGD hydrogels in the presence or absence
of TGFβ1. A) Confocal fluorescence image of immunostaining with
COL-1 (green) counterstained with DAPI for the nuclei (blue) at day
6. B) Quantitative image analysis of COL-1 production at day 6, normalized
to the number of cells; n = 22. C) Confocal fluorescence
image of immunostaining of α-SMA (red) counterstained with DAPI
for the nuclei (blue) at days 3 and 6. D) Quantitative image analysis
of α-SMA production, normalized to the number of cells; n = 16. E) mRNA gene-expression analysis of α-SMA, Col1α1, P53, and Ki67 of fibroblasts and myofibroblasts in the 2 or 4 mg/mL
PIC-RGD hydrogel at days 3 and 6. Scale bars in panels A and C: 100
μm. Statistical analysis with an unpaired t test. P-values > 0.05 are considered not significant;
significant differences: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001;
****, P ≤ 0.0001.To further validate fibroblast differentiation in PIC-RGD gels,
we analyzed the expression of some genes related to fibrosis: αSMA, Col1α1, p53, and Ki67, where αSMA and Col1α1 encode for αSMA and type I collagen,
respectively, p53 encodes for the transcription factor
p53, which is strongly involved in wound healing[30] (and cancer), and Ki67 encodes for the
proliferation marker Ki67. The expression levels are presented as
the fold increase of expression in myofibroblasts, cultured in the
presence of TGFβ1, with respect to fibroblasts (Figure E), normalized against the
expression of household gene GAPDH. In the 2 mg/mL
PIC-RGD hydrogels at day 6, gene expression in myofibroblasts was
1.7-, 12.0-, 3.0-, and 2.9-fold higher for αSMA, Col1α1, p53, and Ki67, respectively. On the other hand, in the 4 mg/mL PIC-RGD
hydrogel at day 6, expression of Col1α1 and p53 was increased 5- and 1.1-fold, respectively, whereas
a decrease in αSMA and Ki67 expression in myofibroblasts was observed. Comparing the two sample
sets at day 6, we found for all studied genes much higher expression
levels in the 2 mg/mL matrix: 2.1-, 2.3-, 2.8-, and 2.9-fold for αSMA, Col1α1, p53, and Ki67, respectively.
Nintedanib and Pirfenidone
Reduce the Myofibroblast-Induced
PIC-RGD Hydrogel Contraction, Proliferation, and Fibrotic Markers
in PIC-RGD Hydrogels
To check the suitability of the PIC-RGD
as an early stage fibrosis model, we studied the performance of two
previously developed drugs, nintedanib and pirfenidone, in the 3D
culture. Earlier studies in collagen-based contraction assays already
showed the inhibitory effect of nintedanib and pirfenidone.[31−33] In our experiments, we cultured HFFs in the presence of TGFβ1
to induce differentiation and added the drugs to the medium at day
6. At day 6, the drugs were administered with doses that have been
used in the literature before.[32,34−36] As a readout at day 7, we measured macroscopic contraction, cell
proliferation, and expression of the myofibroblast marker αSMA
at protein and gene levels.Bright field images after nintedanib
and pirfenidone exposure showed that contraction decreased significantly
in the 2 mg/mL hydrogel (fold change by 0.77 and 0.88; P = 0.003 and P = 0.004), respectively, compared
to no treatment, albeit the levels do not return to those of fibroblasts
cultured in the absence of TGFβ1 (Figure A,B). In contrast, in the stiffer 4 mg/mL
hydrogels where contraction under the influence of TGFβ1 is
less prominent, the decrease due to nintedanib or pirfenidone treatment
was statistically not significant.
Figure 6
Effect of nintedanib and pirfenidone on
contraction and cell viability
after 24 h of treatment. A) Bright field microscopy images of hydrogels
after drug treatment. B) Contraction of the hydrogels after drug treatment
as a percentage of the gel size at day 0; n = 3.
C) Cell viability assay by CCK8 analysis for cells after drug treatment; n = 3. Scale bar in panel A: 500 μm. Statistical analysis
with an unpaired t test. P-values > 0.05 are considered not significant; significant differences:
*, P ≤ 0.05; **, P ≤
0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.
Effect of nintedanib and pirfenidone on
contraction and cell viability
after 24 h of treatment. A) Bright field microscopy images of hydrogels
after drug treatment. B) Contraction of the hydrogels after drug treatment
as a percentage of the gel size at day 0; n = 3.
C) Cell viability assay by CCK8 analysis for cells after drug treatment; n = 3. Scale bar in panel A: 500 μm. Statistical analysis
with an unpaired t test. P-values > 0.05 are considered not significant; significant differences:
*, P ≤ 0.05; **, P ≤
0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.In line with previous
studies showing that nintedanib and pirfenidone
reduce TGFβ1-induced proliferation of human fibroblasts,[7,10] we observed that in our PIC-RGD hydrogel fibrosis model both nintedanib
and pirfenidone significantly reduced myofibroblast proliferation
(Figure C). This reduction
in the case of 2 mg/mL was 0.85- and 0.92-fold, whereas in 4 mg/mL,
it was 0.75- and 0.83-fold after nintedanib and pirfenidone treatment,
respectively, compared to the nontreated group. The reduced proliferation
is stronger for nintedanib and similar in extent in the 2 and 4 mg/mL
hydrogels. The live–dead assay showed that most of the cells
were still viable after nintedanib or pirfenidone treatment in the
PIC-RGD hydrogel (Figure A). The quantitative analysis of the live–dead confocal
images showed the CTCF ratio of live to dead cells was higher than
one for all groups (Figure B). The result further confirms the viability of the cells
after drug treatment. Further, in the case of the 2 mg/mL PIC-RGD
hydrogel, the ratio of live to dead cells was reduced in the nintedanib
(p = 0.0072) and pirfenidone (p =
0.0221) groups compared to the TGFβ1-treated groups. This result
is in line with the proliferation assay at of 2 mg/mL. In the 4 mg/mL
hydrogels, no significant differences were observed in the ratio of
live to dead cells for the drug-treated groups compared to the TGFβ1-treated
groups.
Figure 7
Effect of nintedanib and pirfenidone on protein and gene expression
after 24 h of treatment. A) Confocal images of the live–dead
assays at day 7. Living cells were stained with Calcein-AM (green);
dead cells were stained with TOTO-3 (red). B) Quantitative image analysis
of live–dead assay results and CTCF presented as the ratio
of live to dead cells; n = 8. C) Confocal fluorescence
image of immunostaining of α-SMA (red) counterstained with DAPI
for the nuclei (blue) in both hydrogels. D) Quantitative image analysis
of α-SMA production, normalized to the number of cells; n = 20. E,F) mRNA gene-expression analysis of α-SMA, Col1α1, P53, and Ki67 for treated and nontreated samples in the 2 mg/mL PIC-RGD
hydrogel (E) and in the 4 mg/mL PIC-RGD hydrogel (F). Scale bars in
panels A and C: 100 μm. Statistical analysis with an unpaired t test. P-values > 0.05 are considered
not significant; significant differences: *, P ≤
0.05; **, P ≤ 0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.
Effect of nintedanib and pirfenidone on protein and gene expression
after 24 h of treatment. A) Confocal images of the live–dead
assays at day 7. Living cells were stained with Calcein-AM (green);
dead cells were stained with TOTO-3 (red). B) Quantitative image analysis
of live–dead assay results and CTCF presented as the ratio
of live to dead cells; n = 8. C) Confocal fluorescence
image of immunostaining of α-SMA (red) counterstained with DAPI
for the nuclei (blue) in both hydrogels. D) Quantitative image analysis
of α-SMA production, normalized to the number of cells; n = 20. E,F) mRNA gene-expression analysis of α-SMA, Col1α1, P53, and Ki67 for treated and nontreated samples in the 2 mg/mL PIC-RGD
hydrogel (E) and in the 4 mg/mL PIC-RGD hydrogel (F). Scale bars in
panels A and C: 100 μm. Statistical analysis with an unpaired t test. P-values > 0.05 are considered
not significant; significant differences: *, P ≤
0.05; **, P ≤ 0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.To confirm the reduction of the fibrotic character
of the culture
as indicated by the contraction and proliferation assays, we determined
the production of the myofibroblast marker αSMA by immunostaining
and studied gene expression of αSMA, Col1α1, p53, and Ki67. Fluorescence microscopy of the immunostaining experiments (Figure C) indicated a reduction
of αSMA expression as a result of drug treatment in all cultures.
Quantification of the αSMA confocal images showed a decrease
of αSMA after treatment with nintedanib (0.42-fold, P = 0.0001) or pirfenidone (0.31-fold, P = 0.0001) in the 2 mg/mL PIC-RGD hydrogel, compared to the nontreated
myofibroblasts (Figure D). For the 4 mg/mL hydrogel, the decrease in αSMA was seen
only in the nintedanib group (0.35-fold, P = 0.0041)
but not in pirfenidone-treated samples.The PCR experiments
further show that the expression of all four
tested genes is suppressed by the antifibrotic drugs. The reduced αSMA expression is in line with the immunostaining
results, and associated with that, one could also expect a decrease
in Col1α1. We note that p53 and Ki67 show an even stronger reduction as a result
of treatment with pirfenidone as compared to nintedanib (Figures E and 7F).
Discussion
To develop in
vitro contraction and fibrosis models
providing a suitable microenvironment is critical; the matrix drives
cell behavior and morphologies, illustrated by normal fibroblasts
that show a more myofibroblast-like phenotype when grown on ECM deposited
by fibrotic fibroblasts.[37] This interaction
should be considered across the biomedical field, including in the
setup of drug screening assays. In this work, we demonstrated that
PIC-RGD hydrogels can be effectively used to screen putative fibrotic
drugs on their efficacy to inhibit contraction, which constitutes
a very simple readout that is compatible with high-throughput processes.
PIC-RGD
Gels as a Small Sample Contraction-Based Fibrosis Model
As
the mechanical properties are important for contraction, we
first screened hydrogels with different polymer concentrations (1–8
mg/mL) with different stiffnesses, for discrimination in contraction
by fibroblasts and myofibroblasts, modeling fibrotic and healthy tissue,
respectively. We found that at 1 mg/mL, the gels are too soft and
fragile; they contract and even break during the 6 days in culture.
At 8 mg/mL, the gels hardly contracted at all. We continued with the
2 and 4 mg/mL gels, which both contracted more strongly for the myofibroblasts
than for the fibroblasts, both macroscopically and microscopically
through hydrogel labeling.[38,39] The contractility of
PIC hydrogels seems strongly related to their stiffness and possibly
less to the strain stiffening properties of PIC gels, which are expected
to increase the stiffness upon cellular contraction.[19] We emphasize that the different concentration gels will
also differ in porosity and the density of cell adhesion sites. For
further optimization, these parameters can be tailored independently
in PIC gels, similar to many other synthetic hydrogels.Earlier
work showed that the mechanical properties of the fibroblast microenvironment
critically determine cell migration, spreading, and differentiation.[40,41] Additionally, enhanced cell spreading promotes increased levels
of F-actin and αSMA.[42] In our work,
we find that in the softer (2 mg/mL) gels (with the lower RGD concentration),
the cells spread more easily, which corresponds to earlier work.[43] Furthermore, myofibroblasts show a more spread-out
morphology than fibroblasts in any of the gels. Here, for a skin fibrosis
model, we find for our human foreskin fibroblasts an optimal PIC-RGD
concentration of 2–4 mg/mL; for other fibroblasts, these conditions
may require reoptimization.In addition, we studied other cell
characteristics that are associated
with fibrosis. Cellular proliferation of myofibroblasts was higher
than for fibroblasts, which corresponds to previous work that demonstrated
that TGFβ1 increases the proliferation of human fibroblasts.[44] Myofibroblasts are known to produce both αSMA
and excessive collagen type I, which contribute to fibrosis and scar
formation.[45] Indeed, in the TGFβ1-treated
fibroblasts, we observed an increased production of total collagen,
αSMA, and collagen type 1 compared to nontreated fibroblasts,
which is in line with the literature.[46] We note that tracking cellular collagen excretion obviously is easier
in noncollagenous matrices than in the “default” collagen-based
contraction assays or in other assays from biological origins. Increased
gene expression of αSMA and Col1α1 in myofibroblasts supports the increased protein production.[1,45]In addition, the myofibroblasts show increased expression
of p53 and Ki67. During renal fibrosis,
TGFβ1
activates reactive oxygen species-dependent pathways, thereby inducing
gene expression of p53 and EGFR.[47,48] The former,
as a coactivator of TGFβ1, controls apoptosis, cell growth,
and stress responses and promotes fibrosis.[48,49] Targeting p53 gene expression is a valid strategy
to mitigate fibrosis.[49] Easy detection
of (increased) p53 expression in the small scale
samples is very attractive in developing drugs against fibrosis and
other diseases, including cancer. Ki67 is a marker for cell proliferation,
and the increased Ki67 expression from day 3 to day
6 suggests that the myofibroblasts continue to proliferate. We note
that all studied gene expressions increased more in the 2 mg/mL PIC-RGD
hydrogel than in the 4 mg/mL gel, which indicated that this softer
matrix provides a more suitable microenvironment to discriminate between
healthy and diseased tissues and to observe the effects of potential
drugs. Since the expression continued to increase from day 3 to day
6, then the day 6 time point was selected to screen the effects of
drugs against fibrosis and scarring.
Model Validation Using
Existing Antifibrosis Drugs
Nintedanib and pirfenidone are
the only FDA-approved drugs to treat
pulmonary fibrosis.[50] Additionally, nintedanib
showed its antifibrotic effect in a mouse model of systemic sclerosis,[34] and pirfenidone showed its therapeutic use in
scleroderma patients.[51] Moreover, nintedanib
is known to inhibit TGFβ1-induced myofibroblast proliferation
and gene expression,[32] and consequently,
we may expect that both drugs will affect particularly the myofibroblast
cultures in cell proliferation and expression levels of all studied
genes, as well as the production of αSMA and collagen.Thus, to validate our PIC-RGD model, we tested the effects of nintedanib
and pirfenidone on fibrosis and scarring parameters. The decrease
in matrix contraction and myofibroblast proliferation after treatment
with nintedanib and pirfenidone proves its efficacy and its suitability
for screening of antifibrotic drugs and molecular analyses. We note
that while the 4 mg/mL PIC-RGD hydrogel did not show significant effects
in terms of contraction in the drug-treated myofibroblast cultures,
the efficacy of the drugs did show in the cell viability and gene
expression experiments.
Comparison to Collagen-Based Assays
Currently, the
gold standard in contraction assays is not based on a synthetic polymer
but on collagen. Consequently, we added a collagen-based positive
control to our studies, with 0.5 and 1 mg/mL collagen, which was applied
similarly to the PIC-RGD gels, with similar volumes (10 μL)
and cell densities. We note that this volume is much smaller than
what is commonly used in collagen-based assays. As a result, we observe
a different behavior. Already within 1 day, the collagen gels, both
with fibroblasts and with myofibroblasts, have completely contracted
to <5% of their original size. The contraction reduced cell viability
leading to a high mortality rates at days 3 and 6. Our observations
are in line with earlier work[52] that showed
that fibroblasts encapsulated in 3D contractile collagen gels are
more susceptible to apoptosis. Recently, another study suggested that
hydrogels with lower collagen concentrations (0.5 mg/mL) induce higher
contraction levels and lower cell viability compared to more concentrated
gels (2 mg/mL).[53]The benefit of
PIC-RGD gels, however, is not that the results of larger collagen
assays can be reproduced. Besides nice practicalities such as the
absence of batch-to-batch variations and low autofluorescence, there
are many major advantages, for instance the following: (i) The small (10 μL) scale, which is very attractive for screening
purposes but still allows for thorough (quantitative) staining and
RNA expression analysis. (ii) As a thermoresponsive
gel, it is incredibly easy to extract the cells as well as the secretome
for further downstream analysis; both will not be contaminated with
components that originate from the matrix, which is a major disadvantage
of Matrigel and other animal-derived materials.[54] (iii) Maybe the most interesting advantage
is that because of its synthetic nature, the PIC-RGD matrix can be
readily tailored not only in physical properties but also in biochemical
cue (proteins, growth factors, etc.) readily conjugated to the gel,
allowing one to really optimize the material toward a desired application.
Conclusion
In summary, we found that the PIC-RGD hydrogel
is highly suitable
as an in vitro contraction and fibrosis platform
to monitor the efficacy of various drugs and chemicals on fibrosis,
scarring through contraction, and molecular and cellular analyses.
For proof-of-concept purposes, only the polymer concentration was
optimized, but the model is easily finetuned further. The 2 mg/mL
PIC-RGD hydrogels showed a clear discrimination in contraction properties
and cell spreading of fibroblasts and myofibroblasts. Drug screening
results showed that both FDA-approved antifibrotic drugs potently
inhibited myofibroblast contraction in this hydrogel. Moreover, the
PIC-based gels allow for subsequent RT-PCR and immunofluorescence
staining, which demonstrated that fibrotic gene and protein expression
was affected by the drugs. The small scale, easy handling, and high
versatility of the PIC gel make this material an attractive candidate
for high-throughput screening of putative drugs against fibrosis and
scarring and potentially toward other diseases.
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Authors: Talmadge E King; Williamson Z Bradford; Socorro Castro-Bernardini; Elizabeth A Fagan; Ian Glaspole; Marilyn K Glassberg; Eduard Gorina; Peter M Hopkins; David Kardatzke; Lisa Lancaster; David J Lederer; Steven D Nathan; Carlos A Pereira; Steven A Sahn; Robert Sussman; Jeffrey J Swigris; Paul W Noble Journal: N Engl J Med Date: 2014-05-18 Impact factor: 91.245
Authors: Craig E Higgins; Jiaqi Tang; Badar M Mian; Stephen P Higgins; Cody C Gifford; David J Conti; Kirstan K Meldrum; Rohan Samarakoon; Paul J Higgins Journal: FASEB J Date: 2019-07-06 Impact factor: 5.834
Authors: Lutz Wollin; Eva Wex; Alexander Pautsch; Gisela Schnapp; Katrin E Hostettler; Susanne Stowasser; Martin Kolb Journal: Eur Respir J Date: 2015-03-05 Impact factor: 16.671