Taylor C Suh1, Jack Twiddy2, Nasif Mahmood1, Kiran M Ali1, Mostakima M Lubna1, Philip D Bradford1, Michael A Daniele2,3, Jessica M Gluck1. 1. Department of Textile Engineering, Chemistry, and Science, North Carolina State University, Raleigh, North Carolina 27606, United States. 2. Joint Department of Biomedical Engineering, North Carolina State University and The University of North Carolina at Chapel Hill, Raleigh, North Carolina 27606, United States. 3. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States.
Abstract
Carbon nanotubes (CNTs) are known for their excellent conductive properties. Here, we present two novel methods, "sandwich" (sCNT) and dual deposition (DD CNT), for incorporating CNTs into electrospun polycaprolactone (PCL) and gelatin scaffolds to increase their conductance. Based on CNT percentage, the DD CNT scaffolds contain significantly higher quantities of CNTs than the sCNT scaffolds. The inclusion of CNTs increased the electrical conductance of scaffolds from 0.0 ± 0.00 kS (non-CNT) to 0.54 ± 0.10 kS (sCNT) and 5.22 ± 0.49 kS (DD CNT) when measured parallel to CNT arrays and to 0.25 ± 0.003 kS (sCNT) and 2.85 ± 1.12 (DD CNT) when measured orthogonally to CNT arrays. The inclusion of CNTs increased fiber diameter and pore size, promoting cellular migration into the scaffolds. CNT inclusion also decreased the degradation rate and increased hydrophobicity of scaffolds. Additionally, CNT inclusion increased Young's modulus and failure load of scaffolds, increasing their mechanical robustness. Murine fibroblasts were maintained on the scaffolds for 30 days, demonstrating high cytocompatibility. The increased conductivity and high cytocompatibility of the CNT-incorporated scaffolds make them appropriate candidates for future use in cardiac and neural tissue engineering.
Carbon nanotubes (CNTs) are known for their excellent conductive properties. Here, we present two novel methods, "sandwich" (sCNT) and dual deposition (DD CNT), for incorporating CNTs into electrospun polycaprolactone (PCL) and gelatin scaffolds to increase their conductance. Based on CNT percentage, the DD CNT scaffolds contain significantly higher quantities of CNTs than the sCNT scaffolds. The inclusion of CNTs increased the electrical conductance of scaffolds from 0.0 ± 0.00 kS (non-CNT) to 0.54 ± 0.10 kS (sCNT) and 5.22 ± 0.49 kS (DD CNT) when measured parallel to CNT arrays and to 0.25 ± 0.003 kS (sCNT) and 2.85 ± 1.12 (DD CNT) when measured orthogonally to CNT arrays. The inclusion of CNTs increased fiber diameter and pore size, promoting cellular migration into the scaffolds. CNT inclusion also decreased the degradation rate and increased hydrophobicity of scaffolds. Additionally, CNT inclusion increased Young's modulus and failure load of scaffolds, increasing their mechanical robustness. Murine fibroblasts were maintained on the scaffolds for 30 days, demonstrating high cytocompatibility. The increased conductivity and high cytocompatibility of the CNT-incorporated scaffolds make them appropriate candidates for future use in cardiac and neural tissue engineering.
Heart
disease was the leading cause of death in the U.S. in 2020,[1] a statistic that has remained unchanged for the
past 95 years.[2] Cardiac tissue engineering
offers promising treatments and investigative tools for these cardiac
diseases and disorders, including cell-based pacemakers,[3] cardiac patches,[4] microfluidic
“heart-on-a-chip” models,[5] and regenerative therapies.[6] Additionally,
many are hopeful for the possibility of engineering cardiac constructs
capable of being implanted in lieu of heart transplants, which are
insufficient due to massive donor shortages[7,8] and
chronic immunogenic complications.[9−11] Similar to cardiac tissue
engineering, advances in neural tissue engineering show promise in
spinal cord nerve regeneration,[12,13] peripheral nerve regeneration,[14−16] and microfluidic “brain-on-a-chip” models for high-throughput
testing and disease modeling.[17]Because
both cardiac and neural physiology depend on the electrical
conduction of action potentials, conductive scaffolds are a common
theme in tissue engineering research. In neural tissue engineering,
chitosan–gelatin scaffolds doped with conductive hyaluronic
acid-poly(3,4-ethylenedioxythiophene) (PEDOT) nanoparticles were shown
to enhance neural stem cell proliferation and differentiation into
neurons and astrocytes.[18] Researchers have
also explored polyaniline[19,20] and polypyrrole[21,22] to endow neural tissue engineering scaffolds with conductive properties.
In cardiac tissue engineering, conductive scaffolds could be used
to electrophysiologically mature human-induced pluripotent stem cell-derived
cardiomyocytes (hiPSC-CMs). The immaturity of hiPSC-CMs compared to
functional cardiomyocytes presents a roadblock to their use in cardiac
tissue engineering due to the increased risk of introducing arrhythmias
and the potential for poor electrical coupling with native tissues.[10,23] To address this limitation, researchers have attempted to electrophysiologically
mature hiPSC-CMs using long-term culture,[24] electromechanical manipulations,[25] electrical
stimulation,[25−27] protein regulation,[28] and
co-culture with sympathetic neurons.[29] While
successful, these approaches lack the microenvironmental control provided
by a scaffold-based approach, particularly electrospinning, which
allows selection of the material and control over morphology. Additionally,
these approaches would be impossible to utilize in vivo, unlike a scaffold, which could be implanted. Thus, there remains
a knowledge gap regarding the ability of conductive scaffolds to mature
hiPSC-CMs. Studies suggest that a similar roadblock exists for the
use of iPSC-derived neurons for neural tissue engineering. Transplantation
of iPSC-derived neurons into murine cortices failed to generate action
potentials within 7 weeks.[30] This indicates
that iPSC-derived neurons similarly exhibit electrophysiological immaturity
by default and could thus benefit from conductive scaffolds to mature
them for neural tissue engineering applications.We aim to endow
scaffolds with conductivity by incorporating carbon
nanotubes (CNTs) into electrospun polycaprolactone (PCL)–gelatin
fibers. Electrospinning is ideal for the fabrication of scaffolds
due to its production of fibers on the nano- to microscale, resulting
in biomimicry of in vivo extracellular matrices (ECMs).[31] Additionally, electrospinning offers a high
degree of morphological tunability based on solution properties and
electrospinning parameters.[31−35] Finally, electrospun fibers are amenable to doping, coating, and
post-processing, allowing for functionalization of scaffolds for specific
tissue engineering needs.[36] We selected
PCL due to its high biocompatibility and excellent mechanical properties[37] and gelatin due to its broad biocompatibility,
promotion of cell adhesion, and cost-effectiveness.[38] Gelatin lacks the mechanical strength and elasticity typically
desired for tissue engineering scaffolds and degrades too rapidly in vivo for cardiac and neural tissue engineering.[39] Conversely, PCL has excellent mechanical properties
and takes longer to degrade, up to 2–3 years compared to gelatin,
which can degrade within days.[37,40,41] By using PCL–gelatin scaffolds, we tune the degradation profile
and provide enhanced mechanical properties. However, PCL–gelatin
scaffolds remain electrically nonconductive.We thus endowed
these PCL–gelatin scaffolds with CNTs to
confer conductive properties, as CNTs are well known for their superior
electrical conductivity. Due to this electrical conductivity, CNTs
have been shown to promote differentiation and maturity of neural
stem cells when formed into rope-like substrates and used to deliver
electrical stimulation,[42] enhance neurons’
electrical activity when used as direct substrates,[43] and improve proliferation and neural differentiation of
mesenchymal stem cells when loaded into electrospun scaffolds.[44] Additionally, thin films of CNTs functionalized
with hydroxyl acid have been shown to enhance both cardiac and neuronal
differentiation of canine iPSC-CMs.[45] Both
mature cardiac and neuronal cells utilize electrophysiological signaling
to propagate action potentials critical to their function. The ability
of CNTs to enhance both cardiac and neuronal differentiation within
canine iPSC-CMs suggests an underlying electrical mechanism. In addition
to their conductive properties, the photoacoustic properties of CNTs
have proven useful in neural tissue engineering. These photoacoustic
properties have been shown to enable light-triggered depolarization
of neurons without the need for genetic manipulation (such as the
case in optogenetics), as well as to enhance neurite outgrowth.[46]CNTs enhance mechanical robustness in
addition to conferring electrical
conductivity. Experiments by Liu et al. revealed that CNTs increased
Young’s modulus of electrospun poly(lactic-co-glycolic acid)
scaffolds by 86% and tensile strength by 28% at a mere 0.5% concentration.[47] Additionally, CNTs have been shown to improve
cellular adhesion[48,49] and confer antimicrobial properties.[50,51] The cytocompatibility of CNTs with human cells is controversial
due to seemingly conflicting data and differing metrics. In prior
work, CNTs have been claimed to be cytocompatible based on the lack
of cytotoxicity toward Schwann cells on CNT substrates.[52] Others have argued that CNTs are not cytocompatible
due to studies observing the loss of cell viability in immortalized
human epidermal keratinocytes following exposure to unrefined CNTs.[53] It has been more recently argued that the degree
of CNT toxicity depends on many factors, including purity, dispersal,
and fiber length.[54] Recent research has
shown that the structure, diameter, and length of CNTs affect their
pulmonary toxicity and cytotoxicity. It has been proven that bent
multiwalled CNTs (MWCNTs) exhibit less cytotoxicity than straight
MWCNTs, and that cytotoxicity of submicron-diameter carbon fibers
increases with decreasing diameter and decreases with decreasing length.[55]In this work, we endeavored to incorporate
CNTs into electrospun
PCL–gelatin scaffolds to take advantage of their superior conductive
and mechanical properties and to demonstrate their cytocompatibility,
thus providing a basis for their use as conductive scaffolds in cardiac
and neural tissue engineering applications. We incorporated CNTs into
our electrospun PCL–gelatin scaffolds using two distinct methods:
“sandwich” and dual deposition. Here, we compare the
CNT content, morphology, mechanical properties, degradation profiles,
hydrophobicity, electrical conductance, and cytocompatibility of the
scaffolds.
Materials and Methods
Scaffold
Fabrication
Polycaprolactone
(PCL) (Mn = 90 g/mol, Sigma-Aldrich) was
combined with type-A gelatin from porcine skin (gel strength ∼300
g Bloom, Sigma-Aldrich) in a 1:1 ratio and dissolved in 1,1,2,3,3,3-hexafluoro-1-propene
(HFP) (Thermo Fisher) at 20% w/v concentration. During electrospinning,
the solution was extruded at 4 mL/h and 14 kV was applied. The resultant
electrospun PCL–gelatin fibers were collected onto copper shim
with a 15 cm die–collector distance (Figure A).
Figure 1
Schematic portraying the fabrication of scaffolds.
(A) Non-CNT
scaffolds are electrospun from PCL and gelatin. (B) “Sandwich”
CNT (sCNT) scaffolds are electrospun, CNT arrays are manually stretched
over electrospun fibers, and another layer is electrospun. (C) Dual
deposition CNT (DD CNT) scaffolds are fabricated by winding CNTs and
then electrospinning fibers onto the same rotating collector. Cells
are seeded onto all three scaffold types.
Schematic portraying the fabrication of scaffolds.
(A) Non-CNT
scaffolds are electrospun from PCL and gelatin. (B) “Sandwich”
CNT (sCNT) scaffolds are electrospun, CNT arrays are manually stretched
over electrospun fibers, and another layer is electrospun. (C) Dual
deposition CNT (DD CNT) scaffolds are fabricated by winding CNTs and
then electrospinning fibers onto the same rotating collector. Cells
are seeded onto all three scaffold types.Spinnable, vertically aligned MWCNTs were grown in a tube furnace
using a modified version of the chlorine-mediated chemical vapor deposition
(CVD) route.[56] The MWCNT arrays were grown
on a quartz substrate at 760 °C with acetylene as the carbon
precursor and FeCl2 (anhydrous 99.5%, VWR) as the catalyst.
At 760 °C, acetylene gas (99.5%, Machine and Welding Supply Company)
was flowed at 600 sccm, chlorine gas (99.99%, Custom Gas Solutions)
at 2 sccm, and carrier gas argon (99.999%, Machine and Welding Supply
Company) at 398 sccm, while the system pressure was regulated at 5
Torr. The acetylene gas flow was stopped after 20 min from the start
of the growth process, and the grown arrays were left in the argon
and chlorine flow for 20 additional min. The system was then purged
with argon during cooling. A detailed procedure of this CVD CNT growth
method was previously published by the Bradford group.[57] The resultant MWCNTs exhibited an average diameter
of 39 ± 6 nm (measured by a field emission scanning electron
microscope), an average length of 1 mm (measured by an optical microscope),
an aspect ratio of ∼25,650, and a purity of 99.67% (measured
by TGA; only 0.33% iron oxide catalyst residue materials left after
900 °C air oxidation). Notably, 1 mm is longer than most MWCNTs.CNT arrays were formed by drawing horizontally aligned CNT sheets
from the vertically aligned MWCNT arrays, thus drawing a small bundle
of nanotubes at the edge of a spinnable array to continuously transform
vertically aligned MWCNTs into horizontally aligned MWCNT sheets.
Continuous collection of the aligned MWCNT sheets around a rotating
mandrel resulted in a flat sheet with the desired thickness.CNTs were incorporated into electrospun PCL–gelatin scaffolds
using two distinct methods. In the “sandwich” CNT (sCNT)
method, PCL and gelatin fibers were electrospun onto static copper
shim. CNT arrays were manually stretched over electrospun fibers and
then another layer was electrospun on top (Figure B). In the dual deposition CNT (DD CNT) method,
the same CNT arrays from the “sandwich” method were
wound onto a copper shim affixed to a mandrel rotating at approximately
20 RPM. CNT arrays were wound around the entire circumference of the
rotating mandrel 2.5 times. PCL and gelatin fibers were electrospun
onto the same rotating mandrel, depositing on top of the CNT arrays
(Figure C).
CNT Volume Percent Quantification
For sCNT and DD CNT
scaffolds, 1 × 1 cm2 samples
(n = 10 per scaffold type) were cut. Scaffold samples
were momentarily dipped in HFP (Thermo Fisher) and initial wet weights
were acquired. Samples were then immersed in HFP for 1 h to dissolve
the PCL and gelatin components of the scaffolds, leaving behind only
the CNT component. Final wet weights were then measured. Assuming
that the density of the PCL–gelatin electrospun fibers and
the density of CNT arrays are constant, the mass percent of CNTs within
scaffolds is equivalent to the volume percent of CNTs within scaffolds.
Electron SEM Assessment of Morphology
For
each scaffold type, 0.75 × 0.75 cm2 samples (n ≥ 5 per scaffold type) were cut. Samples were mounted
with carbon adhesive onto SEM stubs and sputter-coated with 10 nm
of gold and palladium and imaged with an electron microscope (Hitachi
TM4000) at 10 kV. Three SEM images were taken of each sample, and
20 measurements of fiber diameter and pore size were taken for each
image using ImageJ, an image analysis software freely available at
imagej.nih.gov/ij. Mean fiber diameter and pore size were calculated,
as well as fiber diameter and pore size distribution.
Quantification of Mechanical Properties Using
the Modified Tensile Strip Test
For each scaffold type, 4
× 1 cm2 samples (n = 5 for non-CNT
and DD CNT, n = 4 for sCNT) were cut. Standard 3″
× 5″ index cards were cut into “C-cards”
with a 2.54 cm gap for sample placement, into which samples were affixed
between double-sided tape and lab tape (Supporting Figure 1A). The C-cards containing samples were placed into
a tensile tester (MTS, Q-Test 5) using 2 N pinch clamp grips, and
the C-card was partially cut to leave the samples between the grips
(Supporting Figure 1B and 1C). Tensile
strip tests were run using a 5 N load cell, 2.54 cm grip separation,
50% break sensitivity, and 0.01 mm/s strain rate. This procedure was
adapted from the ASTM standard D5035, “Textile Strip Method.”
From the resultant measurements of sample extension (mm) and applied
load (kN), Young’s modulus for each sample was calculated.
Enzymatic Degradation by Weight
For
each scaffold type, 0.5 × 0.5 cm2 samples (n = 10 per scaffold type) were cut and placed into 12-well
plates. The samples were immersed in a 1:1 solution of 0.25 mg/mL
collagenase in 0.1 M Tris-HCl and 0.005 M CaCl2 for the
enzymatic degradation of gelatin and 0.0025 mg/mL Pseudomonas
lipase (Type XIII, ≥15 units/mg solid, Millipore
Sigma) in phosphate-buffered saline (PBS) for the enzymatic degradation
of PCL. A 0.25 mg/mL collagenase concentration was used based on a
modification of Alberti and Xu, who used a 1 mg/mL concentration of
collagenase in 0.1 M Tris-HCl and 0.005 M CaCl2 to analyze
degradation of tendon-derived collagen fibril-based tissue engineering
scaffolds.[58] The concentration was reduced
from 1 to 0.25 mg/mL collagenase because the electrospun scaffolds’
microfibers are significantly smaller than the tendon-derived collagen
fibrils studied by Alberti and Xu.[58] In
2018, Spearman et al.[59] employed P. lipase to increase the degradation rate of electrospun
PCL/PCL–polyglycolide nanocomposite fibers via cleavage of
PCL’s ester bonds. Because the purpose of the present study
was to analyze and not increase the degradation rate, the P. lipase concentration was reduced from 0.4 mg/mL
used by Spearman et al. to 0.0025 mg/mL. The 12-well plates were kept
in a heated chamber maintained at 37 °C for 4 weeks. Dry and
wet weights were collected from six of the samples on days 0, 1, 7,
14, 21, and 28. Dry weights were acquired by weighing samples after
they were desiccated overnight. Both dry and wet weights were collected
to assess scaffolds under culture-like conditions (wet measurement)
and to control for the effect of varying hydrophobicity on weight
(dry measurement). Multiple SEM images were collected from one sample
per each scaffold type on days 1, 7, 14, 21, and 28.
Contact Angle Measurement
For each
scaffold type, 2.54 × 2.54 cm2 samples (n = 3 per scaffold type) were cut. Contact angle with water droplets
was measured using a goniometer (Dataphysics OCA System, FDS Corp).
Electrical Analysis
For each scaffold
type, 0.75 × 0.75 cm2 samples (n =
10 per scaffold type) were cut. End-to-end resistance was quantified
using a handheld multimeter (True RMS Multimeter, Keysight) with probes
placed on the edges of the samples either parallel or orthogonal to
CNT arrays. For all scaffold types, the probes were placed onto the
sides of the scaffolds on which the cells were later seeded. Conductance
was calculated as the inverse of resistance.
Cell
Culture
NIH 3T3 murine fibroblasts
were maintained at 37 °C and 5% relative humidity and cultured
in high-glucose DMEM media (Corning) supplemented with 10% fetal bovine
serum (Atlas Biologicals) and 1% Penicillin–Streptomycin (Fisher
Scientific). Media changes occurred every other day.NIH 3T3
cells were passaged and then seeded onto sterilized 1 × 1 cm2 samples cut from each scaffold type at a density of 106 cells/cm2, with 3 × 104 cells
plated into a well without a scaffold as a control. Cellularized scaffolds
were maintained in 1.5 mL each of DMEM media (Corning) supplemented
with 10% fetal bovine serum (Atlas Biologicals) and 1% Penicillin–Streptomycin
(Fisher Scientific).
Cytocompatibility Analyses
In preparation
for the following cytocompatibility analyses, scaffolds were cut into
1 × 1 cm2 samples and placed into 24-well plates.
They were sterilized with 70% ethanol for 20 min, immersed in fresh
PBS three times for 5 min each, and then stored in PBS at 4 °C
overnight. The following day, a control well was coated with 0.1%
gelatin in PBS. Cells were passaged and resuspended at 5 × 107 cells/mL, 20 μL of the cell suspension was slowly added
to each scaffold, and the samples were incubated at 37 °C and
5% CO2 for 1 h to allow for cell adhesion, after which
1 mL of the appropriate media was added to each well.
Live/Dead Assays
For a preliminary
cytocompatibility analysis of all scaffold types, LIVE/DEAD viability
assays (Invitrogen) were performed using NIH 3T3 murine fibroblasts.
LIVE/DEAD assays were performed with 3T3 cells on days 2, 7, 14, 21,
and 27 after seeding (n ≥ 3 per scaffold type).
Ten images were collected using a fluorescent microscope (EVOS FL
Auto 2, Invitrogen), and cellularized scaffolds were returned to culture
media. To determine viability, the quantity of live cells and dead
cells for each image was determined using Celleste 5 software. Viability
was then calculated as the fraction of live cells over total cells.
Proliferation Assays
Alamar Blue
assesses cellular viability by quantifying fluorescence generated
by resazurin as it reduces to resorufin upon entering living cells
due to their enzymatic activity. On days 1, 3, 5, and 7 post seeding,
150 μL of Alamar Blue reagent (Fisher Scientific) was added
to each well of a plate containing 3T3 cells seeded onto 1 ×
1 cm2 samples from each scaffold type (n = 3 per type) and one well with cells containing no scaffold as
a control. The plate was incubated at 37 °C for 1 h. Following
incubation, 100 μL of the media and reagent was added from each
sample in triplicate to a 96-well plate. Fluorescence within the 96-well
plate was quantified using a microplate reader (Synergy HT, BioTek)
set to 540/25 λ excitation, 590/35 λ emission and maintained
at 37 °C.
Immunocytochemistry
On day 14 post
seeding, cellularized scaffold samples were fixed with 4% paraformaldehyde,
permeabilized using 0.25% TritonX-100 in PBS and 0.1% Tween-20 in
PBS, serum-blocked using 2% bovine serum albumin and 2% goat serum
in 0.1% Tween-20 in PBS, stained with phalloidin, counterstained with
Hoechst 33342, and imaged using a fluorescent microscope (EVOS FL
Auto 2, Thermo Fisher).To assess scaffold attachment and migration
on CNT-based scaffolds (n = 3 per scaffold type),
on day 7 post seeding, the cellularized scaffolds were fixed using
4% paraformaldehyde. Samples were paraffin-sectioned and placed onto
slides. Following sectioning, the slides were deparaffinized and permeabilized
using a SafeClear II xylene substitute (Fisher Scientific), a progression
of decreasing ethanol concentrations in deionized water, 0.1% TritonX-100
in PBS, and 0.1% Tween-20 in PBS. Samples were then serum-blocked
using 2% bovine serum albumin and 2% goat serum in 0.1% Tween-20 in
PBS, stained with Hoechst 33342, and imaged on the DAPI channel of
a fluorescent microscope (EVOS FL Auto 2, Invitrogen).
Statistical Analyses
Results are
presented as mean ± standard error of the mean. Statistical significance
was tested using analysis of variance (ANOVA). Probability values
of p < 0.05 were considered statistically significant.
Results
CNTs can be Incorporated
into Electrospun
Scaffolds Using the “Sandwich” or the Dual Deposition
Method
CNTs were successfully incorporated (Figure ). The resultant scaffolds are shown with schematics, SEM
images, and day 2 LIVE/DEAD assays using NIH 3T3 murine fibroblasts
(Figure ). From the
visual analysis of the SEM images, it is evident that the CNTs are
more evenly distributed in the DD CNT scaffolds (Figure H, Supporting Figures 2–4, Table ) than in the sCNT scaffolds (Figure E, Supporting Figures 2–4, Table ). It is also evident from the greater presence of CNTs in
SEM images that the CNT concentration is higher for DD CNT (Figure H) scaffolds than
for sCNT (Figure E)
scaffolds. These conclusions are both also apparent from gross visual
analysis of the scaffolds (Figure A,D,G).
Figure 2
CNT incorporation into scaffolds. (A, D, G) Gross images
of scaffolds.
(B, E, H) SEM images of scaffolds. Scale bars = 200 μm. (C,
F, I) LIVE/DEAD assays of NIH 3T3 cells on scaffolds 2 days post seeding.
Scale bars = 275 μm.
Table 1
Mean Values ± Standard Error
of the Mean for Volume Percent of CNTs Within Scaffolds; n = 10 per Scaffold Type
non-CNT
sCNT
DD CNT
volume percent of
CNTs (%)
0.00 ± 0.00a,c
26.39 ± 2.05a,b
51.75 ± 5.66b,c
Denotes p <
0.05 significant difference between non-CNT and sCNT.
Denotes p <
0.05 significant difference between sCNT and DD CNT.
Denotes p <0.05
significant difference between non-CNT and DD CNT.
CNT incorporation into scaffolds. (A, D, G) Gross images
of scaffolds.
(B, E, H) SEM images of scaffolds. Scale bars = 200 μm. (C,
F, I) LIVE/DEAD assays of NIH 3T3 cells on scaffolds 2 days post seeding.
Scale bars = 275 μm.Denotes p <
0.05 significant difference between non-CNT and sCNT.Denotes p <
0.05 significant difference between sCNT and DD CNT.Denotes p <0.05
significant difference between non-CNT and DD CNT.On day 2 post seeding, LIVE/DEAD
assays performed using NIH 3T3
murine fibroblasts showed good cellular proliferation on all three
scaffold types. For representative images of each scaffold type, there
were 100% live and 0% dead cells for non-CNT scaffolds (Figures C), 95.48% live and 4.52%
dead for sCNT scaffolds (Figure F), and 98.55% live and 1.45% dead for DD CNT scaffolds
(Figure I). For all
scaffold types, dead cells were far outnumbered by live cells, indicating
no significant cytotoxicity. Notably, almost all cells formed clusters
on sCNT (Figure F)
scaffolds, with some cells forming clusters on non-CNT (Figure C) scaffolds, and no cluster
formation on DD CNT (Figure I) scaffolds. This indicates that the sCNT scaffolds present
a more heterogeneous microenvironment, wherein cells are more attracted
to certain areas of the scaffold than others, migrating to and forming
clusters within these areas.
Volume Percent of CNTs
is Significantly Higher
Within DD CNT Scaffolds than Within sCNT Scaffolds
As visible
in high-magnification SEM images (Figure ) and as quantified based on the volume percent
of CNTs within scaffolds (Table ), DD CNT scaffolds have the highest quantity of CNTs
within them (51.75 ± 5.66%), followed by sCNT scaffolds (26.39
± 2.05%). Non-CNT scaffolds, obviously, contain no CNTs (0.00
± 0.00%). The differences in volume percent of CNTs are significant
between all three groups.
Figure 3
High-magnification SEM images of non-CNT (A),
sCNT (B), and DD
CNT (C) scaffolds exhibiting higher CNT content in DD CNT scaffolds
than sCNT scaffolds and no CNTs in non-CNT scaffolds. Scale bars =
10 μm.
High-magnification SEM images of non-CNT (A),
sCNT (B), and DD
CNT (C) scaffolds exhibiting higher CNT content in DD CNT scaffolds
than sCNT scaffolds and no CNTs in non-CNT scaffolds. Scale bars =
10 μm.
Inclusion
of CNTs Significantly Increases
Fiber Diameter and Pore Size
The inclusion of CNTs via both
sCNT and DD CNT methods significantly increased the mean fiber diameter
of the resultant scaffolds from 1.05 ± 0.02 to 20.21 ± 0.92
μm (sCNT) and 39.53 ± 3.92 μm (DD CNT) (Table ). The DD CNT method
increased the fiber diameter significantly more than the “sandwich”
method (Table ). The
inclusion of CNTs via both fabrication methods also significantly
increased the mean pore size of the scaffolds
(Tables and 2).
Table 2
Mean Values ± Standard Error
of the Mean for Fiber Diameter and Pore Size, With Summaries of Their
Distributions; n = 10 Per Scaffold Type for Mean
Fiber Diameters and Pore Sizes and n = 4 With 160
Measurements Each Per Scaffold Type for Distribution Analyses
non-CNT
sCNT
DD CNT
mean fiber diameter (μm)
1.05 ± 0.02a,c
20.01 ± 0.92a,b
39.53 ± 3.92b,c
fiber diameter distribution
unimodal, skewed right (Supporting Figure 3A)
unimodal, skewed right (Supporting Figure 4A)
unimodal, skewed right (Supporting Figure 5A)
mean pore size (μm2)
9.70 ± 1.30a,c
618.27 ± 70.77a,b
9778.36 ± 1041.83b,c
pore size distribution
unimodal, skewed right
(Supporting Figure 3B)
unimodal, skewed right (Supporting Figure 4B)
bimodal, skewed right (Supporting Figure 5B)
Denotes p <
0.05 significant difference between non-CNT and sCNT.
Denotes p <
0.05 significant difference between sCNT and DD CNT.
Denotes p <
0.05 significant difference between non-CNT and DD CNT.
Denotes p <
0.05 significant difference between non-CNT and sCNT.Denotes p <
0.05 significant difference between sCNT and DD CNT.Denotes p <
0.05 significant difference between non-CNT and DD CNT.
Inclusion of CNTs Using
“Sandwich”
and Dual Deposition Methods Significantly Increased Both Mean Young’s
Modulus and Mean Failure Load of Scaffolds
Stress–strain
curves show that sCNT and DD CNT scaffolds are stronger and more ductile
with higher failure loads and Young’s moduli, while non-CNT
scaffolds are more brittle with lower failure loads and Young’s
moduli (Figure ).
Inclusion of CNTs using the “sandwich” and dual deposition
methods significantly increased their Young’s moduli from 6.47
± 0.16 MPa (non-CNT) to 19.76 ± 1.95 MPa (sCNT) and 59.32
± 6.40 MPa (DD CNT) (Figure B). This is equivalent to a 205.4 and 816.9% increase
in Young’s modulus for sCNT and DD CNT scaffolds, respectively.
Thus, we conclude that inclusion of CNTs into our electrospun scaffolds
significantly increased their Young’s modulus, enhancing their
mechanical robustness. A previous study reported that inclusion of
CNTs into electrospun scaffolds yielded an 8% increase in the scaffolds’
observed Young’s modulus at an 0.25% CNT concentration and
an 86% increase at an 0.5% concentration.[47] This is consistent with our results, as we used a significantly
higher ratio of CNTs to electrospun fibers and thus achieved significantly
higher Young’s modulus. Additionally, inclusion of CNTs significantly
increased the mean failure load of scaffolds from 0.13 ± 0.012
kN for non-CNT scaffolds to 0.33 ± 0.0002 kN for sCNT scaffolds
and 0.38 ± 0.016 kN for DD CNT scaffolds (Figure C).
Figure 4
Mechanical characterization of scaffolds. (A)
Representative stress–strain
curves from one sample per scaffold type. (B) Mean Young’s
modulus. n ≥ 4 for each scaffold type. (C)
Mean failure load. n ≥ 4 for each scaffold
type. *Denotes p < 0.05 significant difference
between groups. Black = non-CNT, light gray = sCNT, and dark gray
= DD CNT.
Mechanical characterization of scaffolds. (A)
Representative stress–strain
curves from one sample per scaffold type. (B) Mean Young’s
modulus. n ≥ 4 for each scaffold type. (C)
Mean failure load. n ≥ 4 for each scaffold
type. *Denotes p < 0.05 significant difference
between groups. Black = non-CNT, light gray = sCNT, and dark gray
= DD CNT.
Inclusion
of CNTs Reduced the Enzymatic Degradation
Rate As Quantified By Change in Wet and Dry Weights
Based
on both mean dry (Figure A) and wet (Figure B) weights, non-CNT scaffolds exhibited the steepest degradation
profile, followed by sCNT scaffolds, and then DD CNT scaffolds. The
CNTs remained visible in SEM images up to day 7 in sCNT scaffolds
(Figure C,G) and up
to day 28 in DD CNT scaffolds (Figure C,O).
Figure 5
Degradation profiles of scaffolds exposed to collagenase
and P. lipase. (A) Mean dry weight
of scaffolds over
28 days. n = 6 per scaffold type. (B) Mean wet weights
of scaffolds over 28 days. n = 6 per scaffold type.
(C) SEM images of scaffolds over 28 days. CNTs indicated by arrows. n = 1 per scaffold type. Scale bars = 200 μm.
Degradation profiles of scaffolds exposed to collagenase
and P. lipase. (A) Mean dry weight
of scaffolds over
28 days. n = 6 per scaffold type. (B) Mean wet weights
of scaffolds over 28 days. n = 6 per scaffold type.
(C) SEM images of scaffolds over 28 days. CNTs indicated by arrows. n = 1 per scaffold type. Scale bars = 200 μm.
Inclusion of CNTs Significantly
Increased
Water Contact Angle of Scaffolds
The inclusion of CNTs by
both “sandwich” and dual deposition methods significantly
increased the mean water contact angle of scaffolds from 73.2 ±
0.9° for non-CNT scaffolds to 143.9 ± 1.2° for sCNT
scaffolds and 103.9 ± 1.0° for DD CNT scaffolds. Hence,
the non-CNT scaffolds were the most hydrophilic, followed by DD CNT
scaffolds, and then sCNT scaffolds (Figure ). Additionally, the sCNT scaffolds exhibited
a significantly larger mean water contact angle than the DD CNT scaffolds.
Figure 6
Water
contact angle. Representative images of one sample per (A)
non-CNT, (B) sCNT, and (C) DD CNT scaffold type. n = 3 per scaffold type.
Water
contact angle. Representative images of one sample per (A)
non-CNT, (B) sCNT, and (C) DD CNT scaffold type. n = 3 per scaffold type.
Inclusion
of CNTs Significantly Increased
End-to-End Conductance of Scaffolds
CNT inclusion using the
“sandwich” and dual deposition methods increased the
end-to-end conductance of the scaffolds from 0.00 ± 0.00 kS (both
parallel and orthogonal), with a greater increase in conductance for
the DD CNT scaffolds (5.22 ± 0.49 kS parallel, 2.85 ± 1.12
kS orthogonal) than the sCNT scaffolds (0.54 ± 0.10 kS parallel,
0.25 ± 0.003 kS orthogonal) (Figure B). This increased conductance was significant
for DD CNT scaffolds but not for sCNT scaffolds. The increased conductance
in DD CNT scaffolds correlates to the excellent electrical conductivity
of CNTs. The conductance increased more for DD CNT than for sCNT scaffolds
because the dual deposition method yielded a higher volume percent
of CNTs (Table ) than
the “sandwich” method.
Figure 7
End-to-end conductance of scaffolds. (A)
Measurement of end-to-end
resistance parallel and orthogonal to CNT arrays. (B) Mean end-to-end
conductance for electrospun scaffolds. n = 10 per
scaffold type. *Denotes p < 0.05 significant difference
between scaffold types and † denotes p <
0.05 significant difference between measurement directions. Black
= non-CNT, light gray = sCNT, and dark gray = DD CNT.
End-to-end conductance of scaffolds. (A)
Measurement of end-to-end
resistance parallel and orthogonal to CNT arrays. (B) Mean end-to-end
conductance for electrospun scaffolds. n = 10 per
scaffold type. *Denotes p < 0.05 significant difference
between scaffold types and † denotes p <
0.05 significant difference between measurement directions. Black
= non-CNT, light gray = sCNT, and dark gray = DD CNT.The increased conductance in sCNT and DD CNT scaffolds exhibited
anisotropy, with conductance becoming significantly higher when measured
parallel to CNT arrays (0.54 kS sCNT, 5.22 kS DD CNT) compared to
when measured orthogonal to CNT arrays (0.25 kS sCNT, 2.86 kS DD CNT)
(Figure B). This anisotropy
of conductance is directly correlated to the inherent geometric anisotropy
of the embedded CNT networks, in which the fibers are aligned toward
a particular axis.
All Scaffold Types Demonstrate
Cytocompatibility
With Murine Fibroblasts for Up To 1 Month Post Seeding
Based
on fluorescent microscopy of the month-long progression of LIVE/DEAD
assays using NIH 3T3 cells, all scaffold types demonstrated high cytocompatibility
with minimal to no cytotoxicity (Figure ). Cells attached and proliferated well to
all scaffolds, both without CNTs (Figure A–E) and with CNTs incorporated via
the “sandwich” (Figure F–J) and dual deposition (Figure K–O) methods. Visual observation revealed
that the cells also successfully migrated through the layers of the
scaffolds for all scaffold types, indicating a high degree of biointegration
(Figure N) and suggesting
that the scaffolds’ structural microenvironment is physiologically
favorable toward intravasation of the murine fibroblasts. By day 28,
based on quantities of cells observed in the images, the cells proliferated
the most on the DD CNT scaffolds (Figure O), followed by the non-CNT scaffolds (Figure E), and then the
sCNT scaffolds (Figure J).
Figure 8
Cytocompatibility of scaffolds with NIH 3T3 cells. LIVE/DEAD assays
of non-CNT, sCNT, and DD CNT scaffolds on day 2 (A, F, K), 7 (B, G,
L), 14 (C, H, M), 21 (D, I, N), and 28 (E, J, O). Live stained green
and dead stained red with cells-only live (P) and dead (Q) controls.
Scale bars = 275 μm.
Cytocompatibility of scaffolds with NIH 3T3 cells. LIVE/DEAD assays
of non-CNT, sCNT, and DD CNT scaffolds on day 2 (A, F, K), 7 (B, G,
L), 14 (C, H, M), 21 (D, I, N), and 28 (E, J, O). Live stained green
and dead stained red with cells-only live (P) and dead (Q) controls.
Scale bars = 275 μm.Metabolic activity is a good indicator of cytocompatibility because
it quantifizes cellular proliferation. NIH 3T3 cells demonstrate excellent
metabolic activity when seeded onto the scaffolds, with no significant
difference in metabolic activity between cells seeded onto scaffolds
vs without scaffolds nor the significant difference between cells
seeded onto scaffolds with vs without CNTs (Figure ). On days 1, 3, and 7 post seeding, there
was no significant difference overall between Alamar Blue fluorescence
(RFU) in all groups (non-CNT scaffolds, sCNT scaffolds, DD CNT scaffolds,
and non-scaffold cell-only control). On day 5, there was a significant
difference between groups, with the DD CNT scaffolds exhibiting the
highest cell viability (2909.11 RFU), followed by non-CNT scaffolds
(2709.78 RFU), and the cell-only control (2571.00 RFU), with sCNT
scaffolds (2146.78 RFU) exhibiting the lowest cell viability. This
is consistent with the visual assessment of LIVE/DEAD assays (Figure ), which show the
lowest rate of cellular proliferation on sCNT scaffolds, compared
to non-CNT and DD CNT scaffolds, on both day 2 and day 7.
Figure 9
(A) Metabolic
activity over 1 week as quantified by Alamar blue
assays and (B) phalloidin-stained F-actin filaments green and Hoechst
33342-stained nuclei blue on (A) non-CNT, (B) sCNT, and (C) DD CNT
scaffolds. Scale bars = 100 μm. *Denotes p <
0.05 significant difference between timepoints. Black = non-CNT, light
gray = sCNT, and dark gray = DD CNT.
(A) Metabolic
activity over 1 week as quantified by Alamar blue
assays and (B) phalloidin-stained F-actin filaments green and Hoechst
33342-stained nuclei blue on (A) non-CNT, (B) sCNT, and (C) DD CNT
scaffolds. Scale bars = 100 μm. *Denotes p <
0.05 significant difference between timepoints. Black = non-CNT, light
gray = sCNT, and dark gray = DD CNT.On day 14 post seeding, phalloidin and Hoechst 33342 staining (Figure ) revealed that NIH
3T3 cells continued to attach and proliferate on scaffolds both without
CNTs (Figure A) and
with CNTs (Figure B,C). Furthermore, the morphology of the cells remained intact and
unchanged, as indicated by the staining of actin filaments green and
nuclei blue (Figure C). It is evident from the images that the cells attached to the
sCNT (Figure B) and
DD CNT (Figure C)
scaffolds because cells are only located where the scaffolds are present,
forming an “edge” within the images.Sagittal
sectioning was performed on cellularized scaffolds, thus
allowing imaging of the cellularized scaffolds in cross section. From
the staining of these sections, we observed that NIH 3T3 cells migrated
into the microstructure of sCNT and DD CNT scaffolds with full-thickness
penetration. Fibroblasts (indicated by their nuclei, stained blue
with Hoechst 33342) on both sectioned sCNT (Figure A–B) and DD CNT (Figure C–D) scaffolds on day
7 post seeding migrated throughout the entire thickness of the scaffolds
(Figure ). Cells
migrated more thoroughly on the sCNT scaffolds than on the DD CNT
scaffolds, with 66.8% of cells migrating to the inner 50% of sCNT
scaffolds, in contrast to only 42.4% of cells migrating to the inner
50% of DD CNT scaffolds. However, this is likely affected by the varying
scaffold thicknesses; the sCNT scaffolds (Figure B) are thinner than the DD CNT scaffolds
(Figure D).
Figure 10
NIH 3T3 migration
into scaffolds. Hoechst 33342-stained nuclei
of 3T3 cells on day 7 post seeding on cross sectioned sCNT (A, B)
and DD CNT (C, D) scaffolds, merged with trans-fluorescent microscope
images of scaffolds (B, D). Dotted lines separate the outer 25% of
scaffolds from the inner 50%. Scale bars = 275 μm.
NIH 3T3 migration
into scaffolds. Hoechst 33342-stained nuclei
of 3T3 cells on day 7 post seeding on cross sectioned sCNT (A, B)
and DD CNT (C, D) scaffolds, merged with trans-fluorescent microscope
images of scaffolds (B, D). Dotted lines separate the outer 25% of
scaffolds from the inner 50%. Scale bars = 275 μm.
Discussion
The volume percent of CNTs
within DD CNT scaffolds is significantly
higher than within sCNT scaffolds. The volume percent of CNTs within
both sCNT and DD CNT scaffolds is, obviously, significantly higher
than within non-CNT scaffolds. The inclusion of CNTs into the scaffolds
significantly increased both their fiber diameter (Figure A, Supporting Figures S2–S4) and pore size (Figure B, Supporting Figures S2–S4). The significant increase in scaffolds’
mean fiber diameter when CNTs were incorporated is likely due to the
highly electrically conductive properties of CNTs. Electrospinning
operates through the application of a high voltage to a polymer droplet
as it is extruded through a syringe needle. When the electrostatic
forces overcome the surface tension forces of the droplet, a charged
jet erupts. The jet deposits onto a negatively charged or grounded
collector as the solvent simultaneously evaporates, generating a dried,
fibrous mat.[31] The deposition of electrospun
fibers depends on the electrostatic attraction between the charged
jet and the collection plate. In the “sandwich” and
dual deposition fabrication methods, CNTs were present in the scaffolds
upon which fibers were electrospun. Thus, we hypothesize that the
high electrical conductance of the scaffolds increased electrostatic
attraction between the charged jet and the surface of collection,
resulting in increased fiber diameter. The charged surface area of
the fibers wound around the mandrel contributed to this effect.We hypothesize that the significant increase in mean pore size
when CNTs were incorporated into the scaffolds is also due to electrostatic
processes during electrospinning. The increase in pore size was due
to increased electrostatic repulsion between formerly and newly deposited
electrospun fibers containing CNTs. Additionally, the increased pore
size could be due to the less efficient packing of fibers because
of their increased volume and decreased quantity.Inclusion
of CNTs also increased the mechanical robustness of the
electrospun scaffolds, as shown by their significant increase in Young’s
modulus (Figure C)
and failure load (Figure D, Table ).
We previously found that decellularized ECM from cardiac tissues of
porcine hearts exhibits average Young’s moduli of 5.36 ±
0.14 kPa from the left ventricle and 16.69 ± 0.32 kPa from the
sinoatrial node.[60] Jacot et al. discovered
that Young’s modulus of healthy cardiac tissues harvested from
the left ventricles of neonatal Black Swiss mice was in the range
of 10–15 kPa.[61] While the former
data lacks cellular influence on elastic properties, focusing only
on the contribution of the ECM, and the latter reference refers to
nonhuman, nonadult cardiac tissues, it is likely that Young’s
modulus of healthy adult cardiac tissues remains in the range of 5–20
kPa due to the extreme physiological similarity between porcine and
human hearts.
Table 3
Mean Values ± Standard Error
of the Mean For Morphological, Electrical, and Mechanical Data for
Each Scaffold Type
non-CNT
sCNT
DD CNT
volume percent of
CNTs (%)
0.00 ± 0.00a,c
26.39 ± 2.05a,b
51.75 ± 5.66b,c
mean fiber diameter
(μm)
1.05 ± 0.02a,c
20.01 ± 0.92a,b
39.53 ± 3.92b,c
mean pore size (μm2)
9.70 ± 1.30a,c
618.27 ± 70.77a,b
9778.36 ± 1041.83b,c
parallel conductance (kS)
0.00 ± 0.00c
0.54 ± 0.10b
5.22 ± 0.49b,c
orthogonal conductance (kS)
0.00 ± 0.00c
0.25 ± 0.003b
2.85 ± 1.12b,c
Young’s modulus
(MPa)
6.47 ± 0.16a,c
19.76 ± 1.95a,b
59.32 ± 6.40b,c
failure load (kN)
0.13 ± 0.012a,c
0.33 ± 0.0002a
0.36 ± 0.016c
degradation rate (1- fastest)
1
2
3
water
contact angle (°)
73.2 ± 0.9a,c
143.9 ± 1.2a,b
103.9 ± 1.0b,c
Denotes p <
0.05 significant difference between non-CNT and sCNT.
Denotes p <
0.05 significant difference between sCNT and DD CNT.
Denotes p <
0.05 significant difference between non-CNT and DD CNT.
Denotes p <
0.05 significant difference between non-CNT and sCNT.Denotes p <
0.05 significant difference between sCNT and DD CNT.Denotes p <
0.05 significant difference between non-CNT and DD CNT.Our scaffolds, with Young’s
moduli of 8.33 MPa (non-CNT),
19.76 ± 1.95 MPa (sCNT), and 74.67 MPa (DD CNT) greatly exceed
this 10–15 kPa range by several orders of magnitude. Upon initial
observation, this could appear problematic; however, high Young’s
moduli are attractive for their durability, and many materials commonly
implanted into cardiovascular tissues have Young’s moduli far
exceeding that of native cardiac tissues and are mechanically tolerated
without issue. For example, vascular grafts comprising commercial
expanded polytetrafluoroethylene (ePTFE) exhibit Young’s modulus
of 17.4 MPa.[62] Commercial sutures commonly
used in cardiac bioprostheses exhibit even higher Young’s moduli,
ranging from 2,315.30 MPa in Gore-Tex to 13.06 GPa in Vicryl. A review
by Li et al. reported that Young’s moduli of polymers used
in implantable prosthetic heart valves are mostly in the range of
10–100 MPa, with one outlier (ePTFE) exhibiting a modulus of
413 MPa.[63] Because these vascular grafts,
sutures, and synthetic valves are commonly used and FDA-approved and
have Young’s moduli similar to or exceeding those of our scaffolds,
it is unlikely that the discrepancy in Young’s moduli, though
large, would have any negative effect within our intended uses both
as in vitro platforms for the electrophysiological
maturation of hiPSC-CMs or as in vivo engineered
cardiac tissue scaffolds for implantation.Increased Young’s
moduli could also appear problematic for
neural tissue engineering, particularly considering that softer substrates
with lower Young’s moduli are typically preferred in these
applications.[64] However, previous research
has shown that CNT-based electrospun scaffolds not only show no cytotoxicity
toward rat mesenchymal stem cells but actively enhance their proliferation
and neural differentiation. These electrospun thermoplastic urethane
scaffolds loaded with MWCNTs at 1.5, 2.5, and 3.5% concentrations
exhibited Young’s moduli of 3.94, 10.01, and 9.80 MPa, respectively,
lower but in the same order of magnitude as our CNT-based scaffolds’
Young’s moduli.[44] Even neuronal
stem cells cultured directly onto CNTs exhibited neurite elongation
and physiological maturation when electrically stimulated.[42] These results indicate that the robust mechanical
properties of CNTs do not impede cell attachment, proliferation, and
maturation in neural tissue engineering constructs. Hence, it is unlikely
that the increase in Young’s modulus due to CNT incorporation
will preclude our scaffolds from being used in neural tissue engineering
applications.Inclusion of CNTs by the “sandwich”
and dual deposition
methods significantly increased the failure load of the scaffolds.
The respective mean failure loads of 0.13 ± 0.012, 0.33 ±
0.0002, and 0.38 ± 0.016 kN for the non-CNT, sCNT, and DD CNT
scaffolds (Figure C) become 0.325 ± 0.03, 0.825 ± 0.0005, and 0.95 ±
0.04 N/mm2, respectively, when the scaffold area is accounted
for, which far exceed the 2–4 mN/mm2 contractile
force exerted by healthy, adult CMs in vivo,(8) indicating that there should be no issue with
material failure and the scaffolds would tolerate contraction of attaching
CMs in vivo. The scaffolds are predicted to also
tolerate iPSC-CMs with similar (although immature) contractile physiology
seeded onto them in vitro for electrophysiological
maturation. As the neural tissue is noncontractile, withstanding contractile
force is a nonissue for most neural tissue engineering applications.Both mean dry (Figure A) and wet (Figure B) weights indicate that non-CNT scaffolds degrade the fastest,
followed by sCNT, and then DD CNT scaffolds (Table ). Thus, we conclude that the inclusion of
CNTs slows the overall degradation profile of the electrospun PCL–gelatin
scaffolds. This is confirmed by SEM images showing CNT arrays remaining
intact as PCL and gelatin fibers degrade (Figure C). The CNTs remained present longer in DD
CNT than sCNT scaffolds due to the higher volume percent of CNTs (Table ). This difference
in the degradation profile between the PCL–gelatin fibers and
the CNTs is attractive for in vivo applications because
it offers the possibility of CNTs remaining to facilitate electrophysiological
conduction while PCL–gelatin fibers degrade and are replaced
by de novo native tissues. The degradation profile
of the fibers can be tailored by modifying the ratio of PCL to gelatin
to match the rate of de novo tissue formation for
the tissue type of interest.Inclusion of CNTs into electrospun
PCL–gelatin scaffolds
significantly increased their water contact angle (Figure , Table ). This indicates that the CNTs are hydrophobic
and endow the scaffolds with surface hydrophobicity. The effect is
greater for sCNT scaffolds than for DD CNT scaffolds, resulting in
significantly higher mean water contact angles. We hypothesize that
this is because of the difference in thickness of the outermost layer
of electrospun fibers between sCNT and DD CNT scaffolds. Although
the volume percent of CNTs is higher in DD CNT scaffolds than in sCNT
scaffolds, the electrospun fibers within the sCNT scaffolds are divided
into two sections within the “sandwich” structure: above
the CNT array and below the CNT array. Thus, though the overall volume
percent of electrospun fibers is lower for DD CNT scaffolds, the outermost
layer of electrospun fibers that the water droplet interacted with
was thicker in the DD CNT scaffolds due to the previously discussed
electrostatic effect of the CNTs. This thicker layer of electrospun
PCL–gelatin fibers provided a more hydrophilic surface to attenuate
the hydrophobicity of the CNTs. Thus, DD CNT scaffolds are more suitable
as substrates for mammalian cells, which typically prefer hydrophilic
surfaces. This factor likely contributed to the higher proliferation
rate on DD CNT than on sCNT scaffolds observed in LIVE/DEAD assays
(Figure ) and higher
metabolic activity (Figure ).Most notably, CNT incorporation into scaffolds by
both the “sandwich”
and dual deposition methods significantly increased their end-to-end
conductance (Figure , Table ). The CNT-attributed
increase in conductance measured greater parallel to the arrayed CNT
fibers compared to measurements made in the orthogonal direction.
This was observed due to the anisotropy of the conductive network
formed by the CNTs. Electrical stimulation has been shown effective
in promoting iPSC-CM differentiation[65] and
synchronizing the spontaneous beating exhibited by iPSC-CMs,[66] and electrical stimulation of CNTs specifically
has been shown to provide cardiomimetic cues to mesenchymal stem cells,
directing their differentiation toward CM lineages.[67] Furthermore, electrical stimulation has been shown to facilitate in vitro maturation of iPSC-CMs, resulting in increased
action potential conduction velocity and calcium ion flux shifting
toward physiological values for one study[26] and shifting calcium transients toward physiological values while
enhancing membrane N-cadherin signaling, stress-fiber formation, and
sarcomeric length shortening when combined with mechanical stimulation
in another.[25] The increased electrical
conductance of the scaffolds presented in this work potentially offers
an attractive substrate for in vitro electrophysiological
maturation of hiPSC-CMs. Based on our electrical conductance data
and results observed in previously mentioned studies, we hypothesize
that under the application of electrical stimulation, hiPSC-CMs would
exhibit enhanced gap-junctional coupling facilitated by the high electrical
conductance of our CNT-based scaffolds, enhancing propagation of action
potentials between neighboring hiPSC-CMs and enabling the development
of physiologically realistic calcium transients.Electrical
stimulation is also often used in neural tissue engineering.
As previously mentioned, researchers cultured neural stem cells onto
a rope comprised of single-walled CNTs. The constructs were electrically
stimulated 2 days post seeding. It was concluded based on ENO2 and
MECP2 expression that this electrical stimulation promoted the early
differentiation of neural stem cells into neurons and the maturation
of the neurons post differentiation.[42] A
conductive scaffold composed of composite polypyrrole and silk fibroin
was found to enhance viability, proliferation, migration, and expression
of neurotrophic factors within Schwann cells when electrically stimulated.[68] Due to their high conductance, our CNT-based
scaffolds are similarly amenable to electrical stimulation for neural
tissue engineering applications.As previously mentioned, debate
exists surrounding whether CNTs
are cytocompatible and thus suitable as biomaterials for use in implants
or culture systems. Our data indicates that the inclusion of CNTs
into our scaffolds results in high cytocompatibility, resulting in
negligible cytotoxicity toward NIH 3T3 murine fibroblasts for up to
1 month (Figure A)
based on fluorescent microscopy of LIVE/DEAD assays and a week-long
Alamar blue study done on 3T3 cells (Figure ). Of the cellular proliferation assays performed
on days 1, 3, 5, and 7, the only significant difference in cellular
metabolic activity was observed on day 5 (Figure ). The difference was likely significant
on day 5 because this was the timepoint with the highest overall cellular
proliferation before contact inhibition caused a decline in metabolic
activity. On day 5, DD CNT scaffolds exhibited the highest proliferation,
followed by non-CNT scaffolds, the cell-only control, and finally
the sCNT scaffolds. We hypothesize that the cells preferred the homogenous
microstructure of the DD CNT and non-CNT scaffolds to the heterogeneous
microstructure of the sCNT scaffolds. The sCNT scaffolds exhibit more
heterogeneity in structure than the DD CNT and non-CNT scaffolds because
the layers of CNT arrays and electrospun PCL–gelatin fibers
are arranged in a “sandwich” geometry (Figure ).Based on both the
viability assays (Figure ) and proliferation assays (Figure ), cells appeared to prefer
DD CNT scaffolds to sCNT scaffolds. In addition to the previously
discussed heterogeneity of sCNT scaffolds, scaffold morphology also
contributed to this difference. DD CNT scaffolds exhibit significantly
greater fiber diameter and pore size than sCNT scaffolds (Table ), resulting in increased
surface area, which allows more attachment and proliferation sites
for cells.Fibroblasts maintained their cellular morphology
when seeded onto
CNT-based scaffolds, visualized with phalloidin and Hoechst 33342
staining performed on day 14 post seeding (Figure C). Finally, fibroblasts migrated into both
sCNT and DD CNT scaffolds, traversing their thickness by day 7 post
seeding, as shown by phalloidin staining on sectioned cellularized
scaffolds (Figure ). This indicates that the CNT-based scaffolds provide an attractive
and biomimetic microenvironment for cellular attachment, proliferation,
and migration, the hallmarks of a robust biomaterial for tissue engineering
applications. Furthermore, these scaffolds can be used as conductive
substrates for the application of electrical stimulation to cells,
which has been explored as a method for in vitro maturation
of hiPSC-CMs[65,66] and neural stem cells.[42]
Conclusions
We here
present two types of electrospun, CNT-based scaffolds,
which are highly electrically conductive and cytocompatible. The use
of electrospinning as a fabrication method allows for easy tunability
of the resulting scaffolds, whose morphology can be easily controlled
by modifying solution properties and electrospinning parameters. Both
the “sandwich” and dual deposition methods of CNT incorporation
are amenable to modifications in the electrospinning portion of the
fabrication process.Due to their increased electrical conductance
and high cytocompatibility,
these scaffolds hold potential for the development of novel cardiac
and neural tissue-engineered constructs. Neural applications include
spinal cord and peripheral nerve regeneration, neuronal growth substrates,
and microfluidic models of the brain. Cardiac applications include
cellular pacemakers, three-dimensional (3D) printed cardiac tissues,
and cardiac patches for tissue repair following myocardial infarction.
Additionally, these scaffolds show promise for incorporation into in vitro platforms to electrophysiologically mature hiPSC-CMs,
making them relevant for use in a myriad of cardiac tissue engineering
applications.
Authors: Anna A Shvedova; Vincent Castranova; Elena R Kisin; Diane Schwegler-Berry; Ashley R Murray; Vadim Z Gandelsman; Andrew Maynard; Paul Baron Journal: J Toxicol Environ Health A Date: 2003-10-24
Authors: Ling Gao; Zachery R Gregorich; Wuqiang Zhu; Saidulu Mattapally; Yasin Oduk; Xi Lou; Ramaswamy Kannappan; Anton V Borovjagin; Gregory P Walcott; Andrew E Pollard; Vladimir G Fast; Xinyang Hu; Steven G Lloyd; Ying Ge; Jianyi Zhang Journal: Circulation Date: 2017-12-12 Impact factor: 29.690
Authors: Ngan F Huang; Vahid Serpooshan; Viola B Morris; Nazish Sayed; Gaspard Pardon; Oscar J Abilez; Karina H Nakayama; Beth L Pruitt; Sean M Wu; Young-Sup Yoon; Jianyi Zhang; Joseph C Wu Journal: Commun Biol Date: 2018-11-21