Overcoming signal resolution barriers of neural prostheses, such as the commercially available cochlear impant (CI) or the developing retinal implant, will likely require spatial control of regenerative neural elements. To rationally design materials that direct nerve growth, it is first necessary to determine pathfinding behavior of de novo neurite growth from prosthesis-relevant cells such as spiral ganglion neurons (SGNs) in the inner ear. Accordingly, in this work, repeating 90° turns were fabricated as multidirectional micropatterns to determine SGN neurite turning capability and pathfinding. Unidirectional micropatterns and unpatterned substrates are used as comparisons. Spiral ganglion Schwann cell alignment (SGSC) is also examined on each surface type. Micropatterns are fabricated using the spatial reaction control inherent to photopolymerization with photomasks that have either parallel line spacing gratings for unidirectional patterns or repeating 90° angle steps for multidirectional patterns. Feature depth is controlled by modulating UV exposure time by shuttering the light source at given time increments. Substrate topography is characterized by white light interferometry and scanning electron microscopy (SEM). Both pattern types exhibit features that are 25 μm in width and 7.4 ± 0.7 μm in depth. SGN neurites orient randomly on unpatterned photopolymer controls, align and consistently track unidirectional patterns, and are substantially influenced by, but do not consistently track, multidirectional turning cues. Neurite lengths are 20% shorter on multidirectional substrates compared to unidirectional patterns while neurite branching and microfeature crossing events are significantly higher. For both pattern types, the majority of the neurite length is located in depressed surface features. Developing methods to understand neural pathfinding and to guide de novo neurite growth to specific stimulatory elements will enable design of innovative biomaterials that improve functional outcomes of devices that interface with the nervous system.
Overcoming signal resolution barriers of neural prostheses, such as the commercially available cochlear impant (CI) or the developing retinal implant, will likely require spatial control of regenerative neural elements. To rationally design materials that direct nerve growth, it is first necessary to determine pathfinding behavior of de novo neurite growth from prosthesis-relevant cells such as spiral ganglion neurons (SGNs) in the inner ear. Accordingly, in this work, repeating 90° turns were fabricated as multidirectional micropatterns to determine SGN neurite turning capability and pathfinding. Unidirectional micropatterns and unpatterned substrates are used as comparisons. Spiral ganglion Schwann cell alignment (SGSC) is also examined on each surface type. Micropatterns are fabricated using the spatial reaction control inherent to photopolymerization with photomasks that have either parallel line spacing gratings for unidirectional patterns or repeating 90° angle steps for multidirectional patterns. Feature depth is controlled by modulating UV exposure time by shuttering the light source at given time increments. Substrate topography is characterized by white light interferometry and scanning electron microscopy (SEM). Both pattern types exhibit features that are 25 μm in width and 7.4 ± 0.7 μm in depth. SGN neurites orient randomly on unpatterned photopolymer controls, align and consistently track unidirectional patterns, and are substantially influenced by, but do not consistently track, multidirectional turning cues. Neurite lengths are 20% shorter on multidirectional substrates compared to unidirectional patterns while neurite branching and microfeature crossing events are significantly higher. For both pattern types, the majority of the neurite length is located in depressed surface features. Developing methods to understand neural pathfinding and to guide de novo neurite growth to specific stimulatory elements will enable design of innovative biomaterials that improve functional outcomes of devices that interface with the nervous system.
The
interface between a biomaterial and biological tissue is a complex,
dynamic microcellular environment that dictates the ultimate performance
of a clinical device or material. Continuing advances in materials
science, micro- and nanofabrication, and tissue engineering enable
design of 2D and 3D constructs that allow researchers to probe and
even drive specific cell-material interactions along this crucial
interface.[1] For example, many studies illustrate
that stem cell phenotype can be manipulated by altering the material
characteristics of the nascent environment.[2−4] Further, biomaterial
mechanical or chemical properties and surface morphologies can be
tailored to address requirements of a given cellular niche to improve
functional outcomes of the biomaterial. Because of the innate ability
that neurons have to explore and respond to their microenvironment—via
de novo neurite growth during development or regeneration—and
due to their importance in sensory, motor, and autonomic functions,
they are the focus of substantial effort in cell-biomaterial interaction
studies.[5−8]In particular, a diverse array of methods is employed to direct
the outgrowth of regenerative neural processes to span and repair
damage in the peripheral nervous system. Nerve autographs remain the
gold standard in clinical settings for these types of repairs, but
recent advances in fabrication of multifaceted synthetic nerve conduits
enable satisfactory neural regeneration and functional recovery even
across large nerve gaps (>10 cm).[8] Typical
methods used to direct regenerative neurite outgrowth include aligned
microfibers,[9] bioactive molecule patterning,[10−13] parallel micro- and nanochannel morphology,[14,15] diffusion gradients of chemo-attractants,[16] electrical fields,[17] intraluminal guidance
structures,[18] and oriented glial cells.[19] The primary objective of many neurite guidance
studies is to effect maximal unidirectional outgrowth to bridge large
gaps typical of nerve injuries. However, analogous neurite guidance
techniques may also serve to address spatial resolution challenges
that limit functional outcomes of neural prostheses by directing neurite
growth to specific stimulatory elements.[20−22]Neural
prostheses electrically stimulate neural tissue to restore or augment
remaining motor and sensory functions of neural pathways that were
lost or damaged due to disease or physical trauma. Partly due to spatial
resolution limitations, prostheses fail to recapitulate the detailed
interactions of neural networks and subsequently fail to precisely
simulate motor and sensory signaling. For example, retinal prosthesis
simulation is limited to a few sensory pixels due, in part, to electrical
signal overlap among target neurons in the retina caused by spatial
separation of stimulating electrodes from the neural tissue.[22] The cochlear implant (CI), which is currently
the only sensory prosthesis in routine clinical use, enables basic
speech perception but suffers from comparable spatial signaling limitations.
Nonspecific excitation of spiral ganglion neurons (SGNs) within the
cochlea precludes simulation of high fidelity tonal information for
the user. Subsequently, CI patients struggle with complex auditory
stimuli such as voice comprehension in noisy environments and music
appreciation.[23,24]Driving regenerative neural
processes into closer spatial proximity of specific stimulating electrodes
would allow for lower current trigger thresholds that would reduce
problematic signal overlap, enable higher stimulatory specificity,
and perhaps lead to greater precision in both signal input and biological
functional output.[25−31] Moreover, since the nervous system depends on location specific
signaling, similar spatial resolution limitations are anticipated
for any device that interfaces with the nervous system. Consequently,
determining neural pathfinding behavior in response to directional
cues and precisely directing spatial regeneration will be crucial
to realize the functional potential of next-generation neural prostheses.Among the variety of methods reported to orient neurite outgrowth,
directing cell-material interactions using engineered surface topography
is of particular interest due to the stability, reproducibility, and
high degree of control over surface physical features inherent to
the process. The most widely reported patterning techniques used to
fabricate micro- and nanoscale actionable physical cues require a
photopatterning step, that is, radiative exposure through a photomask,
during the process due to the excellent spatial reaction control afforded
by masked light exposure. Typically, variations of traditional photolithography
accompanied by subsequent soft lithography casting of an elastomer
over patterned silicon masters constitute the primary fabrication
methods for cell contact guidance studies. For example, electron-beam
lithography was used to fabricate nanoscale ridge and groove topography
that caused epithelial cells to elongate and align on silicon oxide
substrates with depths as small as 70 nm.[32] Soft lithography casting of poly(dimethylsiloxane) was used in conjuction
with photolithography methods to generate microgrooved chitosan conduits
that oriented Schwann cell growth and increased neurotrophin expression
compared to smooth substrates.[33] Further,
photo- and soft lithography are used to generate master templates
with variations in pattern shape, ridge width, and groove depth to
influence cellular behavior and spatial outgrowth.[34,35]In place of traditional photo- and soft lithography patterning
methods, direct photopatterning of 2D surfaces or 3D constructs via
photofunctionalization or photo-cross-linking reactions has emerged
as a prominent alternative production platform for cell-material interaction
studies. Patterning materials in this way avoids use of expensive
or highly reactive reagents required for traditional photolithography
methods and is often accomplished in fewer processing steps. For example,
a polyfluorene derivative was directly photopatterned on a poly(ethylenimine)
substrate by spatially controlling cross-linking reactions prior to
washing steps to generate cyto-adhesive and nonadhesive stripes.[36] Sequential photopolymerization steps were employed
to create trapping and sorting wells to isolate single cells based
on imaged phenotype.[37] Direct photopatterning
methods have also been utilized to generate cytocompatible hydrogels
with tunable degradation profiles[38] and
with controlled microarchitecture[39] for
tissue regeneration and cell encapsulation applications. Additionally,
photopolymerization was used to surface functionalize polymeric substrates
with immunosuppressive proteins to provide bioactive protection against
activated T cells.[40] Each of these studies
illustrates and utilizes specific advantages inherent to UV curing
for cellular applications including excellent temporal and spatial
control, mild reaction conditions, and few process steps.In
this contribution, we evaluate the turning capability and neural pathfinding
behavior of neurites extending from SGNs on photopolymerized, multidirectional
micropatterns with repeating 90° turns. The repeating turns are
used as a topographical challenge that is compared with neural outcomes
on unidirectional micropatterns and unpatterned substrates. SGNs are
the sensory elements of the inner ear that enable the sense of hearing
and are the target neurons that are electrically stimulated by a CI
prosthesis. As we have previously reported, physical micropatterns
for neural pathfinding studies are fabricated via direct photopolymerization
while microfeature height and directionality are modulated by controlling
UV exposure time and by photomasking techniques, respectively.[33,41] SGN neurite response to each pattern type are characterized by total
length, alignment of neurite segments, ratio of process path on depressed
features, and number of turning points. Because spiral ganglion Schwann
cells (SGSCs) play a crucial supportive role for SGN regenerative
neurites,[42] their alignment to each pattern
type is also reported. Understanding neurite pathfinding behavior
and developing methods to guide de novo neurite growth to specific
stimulatory elements will enable design of innovative biomaterials
that improve functional outcomes of devices that interface with the
nervous system.
Experimental
Section
Glass Slide Methacrylation
Glass
slides were used as substrates for thin-film micropatterned polymers
to facilitate cellular microscopy studies. To prevent polymer delamination
from the substrate, standard glass slides (2.54 cm × 7.62 cm
x 0.1 cm) were surface functionalized with a methacrylated silane
coupling agent. The slides were first cleaned and oxidized with O2 plasma for 3 min at 30 W RF power (PDC-001 Harrick Plasma
Expanded Cleaner, Ithaca, NY) while under vacuum. Immediately following
removal from the plasma chamber, the slides were immersed in a 1/100
v/v solution of 3-(trimethoxysilyl)propyl methacrylate (Aldrich) and n-hexane (Aldrich) overnight in a covered container at room
temperature (∼21 °C). After removal from the solution,
each slide was rinsed with fresh hexanes and allowed to dry in a fume
hood before being placed in a sealed container. Functionalized slides
had a slightly translucent appearance following the hexane rinse.
Methacrylated slides were used immediately after functionalization
as substrates for polymerization.
Micropatterned
Substrate Fabrication
Prepolymer mixtures of 40 wt % hexyl
methacrylate (HMA, Aldrich) and 59 wt % 1,6-hexanediol dimethacylate
(HDDMA, Aldrich) were prepared with 1 wt % of 2,2-dimethoxy-2-phenylacetophenone
(DMPA, BASF) as the photoinitiator. As shown in previous work, poly(HMA-co-HDDMA) supports attachment, survival, and growth of SGNs
and SGSCs under in vitro conditions and works well for control and
tuning of photopatterned physical guidance cues.[41,43] A volume of 20 μL was pipetted onto the center of a methacrylated
slide which was then covered with a 2.54 cm × 2.54 cm ×
0.1 cm glass-chrome Ronchi rule photomask (Applied Image Inc., Rochester,
NY) for parallel patterns, a repeating 90° angle mask (Nano-Fabrication
Facility, University of Minnesota, MN) for angled patterns, or with
a cut untreated glass slide of the same dimensions for unpatterned
samples. Formulations spread evenly under the photomasks due to capillary
forces between the glass plates. Samples were cured with a high-pressure
mercury vapor arc lamp (Omnicure S1500, Lumen Dynamics, Ontario, Canada)
with 365 nm at a light intensity of 16 mW/cm2. Light intensity
was measured with a Cole-Parmer Series 9811 radiometer. The curing
module was equipped with an 8 mm aperture × 50 mm length beam
homogenizing fused silica light pipe (Edmund Optics) and a collimating
lens (RLQ-1, Asahi Spectra). Microfeature amplitude was controlled
by shuttering UV radiation at specific times. After polymerization,
photomasks were removed from polymer surfaces and samples were washed
with 95% ethanol to remove all residual monomer. Samples were allowed
to air-dry before use.
Micropattern Characterization
White Light Interferometry
White light interferometry
(Dektak Wyko 1100 Optical Profiling System, Veeco) was used to measure
micropattern periodicity and absolute channel amplitude. Feature amplitude
was reported as the difference between the maximum ridge value and
the adjacent minimum groove value. Average feature height for a given
polymerization condition was determined by measuring channel amplitude
in nine different areas across each sample (n ≥
3). Periodicity was measured as the distance between the highest points
on adjacent ridges and was consistent with photomask band spacing.
Measurements and 3D images were generated using Vision software associated with the instrument.
Scanning
Electron Microscopy
Micropattern morphology was further characterized
by scanning electron microscopy (SEM, S-4800, Hitachi). Polymer samples
were mounted on aluminum SEM stubs using conductive silver paint to
acquire top-down images. For cross-sectional images, glass substrates,
and patterned polymers were fractured and then mounted vertically
on specimen stages. The SEM specimen stage was angled using automated
stage and software controls. Each polymer surface was sputter coated
with gold prior to examination by SEM. Electron accelerating voltage
was set at 2 kV.
Cell Culture and SGN Survival
Dissociated spiral ganglia (SG) cultures from P3-5rat pups were
prepared as previously described.[44,45] SGN cultures
were maintained in Dulbecco’s Modified Eagle Medium (DMEM)
supplemented with N2 additives, 5% fetal bovine serum, neurotrophin-3
(NT-3, 50 ng/mL), and brain derived neurotrophic factor (BDNF, 50
ng/mL). Cultures were maintained in a humidified incubator with 6.5%
CO2 and fixed with 4% paraformaldehyde after 48 h. SGNs
were plated on polymer substrates coated sequentially with poly-l-ornithine (100 μg/mL) and laminin (20 μg/mL).
To quantify SGN survival, cultures were fixed with 4% paraformaldehyde
at 4 °C for 20 min, permeabilized and blocked with 5% goat serum,
2% BSA, 0.1% Triton X in phosphate buffered saline (PBS), and immunostained
with antineurofilament 200 (NF200) antibodies (1:400, Sigma-Aldrich)
at 37 °C for 2 h. Alexa 488 conjugated secondary antibody (1:800,
Invitrogen) was used to detect the primary antibody immunolabeling
at room temperature for 1 h. Slides were coverslipped with ProLong
Gold antifading reagent with DAPI (Life Technology) and sealed with
nitrocellulose. Digital epifluoresencent images were captured of the
entire polymer surface using the scan slide application of Metamorph
software (Molecular Devices, Silicon Valley, CA) on a Leica DMIRE2
microscope (Leica Microsystem, Bannockburn, IL) with a Leica DFC350FX
digital camera. The total number of NF200-positive neurons with healthy
nuclei was counted for each polymer surface to determine SGN survival.
Experiments were performed in duplicate and repeated at least three
times.
Immunostaining and Measurement of SGN Neurite
Length and Branching
Spiral ganglia cultures were immunostained
with anti-S100 and antineurofilament 200 (NF200) antibodies (1:400,
Sigma-Aldrich) to label Schwann cells and neurons, respectively.[44] Alexa 488 and Alexa 546 conjugated secondary
antibodies (Life Technology) were used to detect primary antibody
immunolabeling. Slides were coverslipped with ProLong Gold antifading
reagent with DAPI (Life Technology). Digital epifluorescent images
were captured on a Leica DMIRE2 microscope (Leica Microsystems, Bannockburn,
IL) with Leica DFC350FX digital camera and Metamorph software (Molecular
Devices, Silicon Valley, CA). Images of the entire well were captured
using the scan slide feature in MetaMorph to eliminate imaging bias
to short neurites. Spiral ganglion neuron (SGN) total neurite length
was determined from digital images by measuring the longest process
of 100 randomly selected neurites from each condition using the measurement
tool in ImageJ (NIH, Bethesda, MD) as previously described.[46] Number of branches extending from SGN neurites
was determined by averaging the total number of neurite bifurcations,
including bifurcation of branches, for 100 randomly selected neurites
from each condition.
Determination of SGN Neurite
Segment and SGSC Alignment
Neurite alignment was measured
as a distribution of angles relative to the horizontal plane of 10
μm length neurite segments. At least 50 primary neurites from
immunolabeled images were traced in ImageJ for each condition and X–Y distance data were analyzed
using Matlab software. The angle of each segment was calculated relative
to horizontal and all neurite angles were then binned in 10°
segments from 10–90°. Random outgrowth would be evidenced
by a relatively equal distribution among all angle bins. Strong alignment
to the horizontal plane would be demonstrated by high population percentages
in bins of 20° or less. Strong alignment to multidirectional
patterns, that is, repeating 90° angle steps, would be evidenced
by high percentages around 45° alignment angles since the pattern
was rotated 45° during imaging.SGSC alignment was determined
as previously described by drawing the outline of the cell using ImageJ
software and fitting an ellipse to the cell outline.[41,43] The angle made between the major axis of the ellipse and the pattern
(θ) was measured in ImageJ.
Characterization
of SGN Neurite Tracking on Raised vs Depressed Features
Preference
of SGN primary neurites for the depressed or raised features of the
polymer surface was determined by individual measurement of neurite
segments on each feature, summing the length of neurite, and calculating
the percentage of primary neurite length on each feature. Lengths
were measured from immunolabeled images using the measurement tool
in ImageJ (NIH, Bethesda, MD). Depressed and raised features were
differentiated by scanning in the z-plane (vertical)
with a Leica TCS SP5 confocal microscope. Percent length of primary
neurites on depressed and raised features was averaged for at least
100 randomly chosen neurites from each condition.
Comparison of SGN Neurite Turning
Neurite turns were
measured using ImageJ primary neurite traces from immuo-fluorescent
digital images that were captured as previously described. Trace data,
containing X-Y neurite distance coordinates, was analyzed by measuring
the angle of consecutive 10 μm length neurite segments using
Matlab. Neurite segment angle was measured relative to the horizontal
plane. If three consecutive segments, that is, 30 μm segment
of the neurite, had a trajectory difference of at least 10° from
the previous three consecutive segments then it was marked as a turning
event. At least 50 neurites were scored for each pattern condition.
Statistics
Statistical analysis was performed
using SigmaStat 3.5 software (Systat Software, Chicago, IL). A two-tailed t test was used to compare cellular alignment between unpatterned
and patterned samples followed by a post hoc Mann–Whitney Rank
Sum Test when normality criteria were not met. Multiple groups were
compared by performing a one-way ANOVA followed by a post hoc Kruskal–Wallis
analysis of variance on ranks and a Dunn’s Method multiple
comparison procedure. Results were considered statistically significant
if p < 0.05.
Results
and Discussion
Photopolymerization of
Uni- and Multidirectional Micropatterned Substrates
To evaluate
neural pathfinding behavior of SGN neurites, the inherent spatial
and temporal control of photopolymerization were used to fabricate
uni- and multidirectional micropattern substrates for contact guidance
studies. Spatial control is achieved by masking the prepolymer formulation
from initiating light and temporal control is afforded through shuttering
of the light source at specific time increments. For a typical photoinitiated
radical chain growth polymerization, a small concentration of photoinitiator
in the prepolymer formulation absorbs photons and undergoes cleavage
of a C–C bond that results in the generation of reactive free
radicals. For this particular system, 2,2-dimethoxy-2-phenylacetophenone
(DMPA) undergoes a Norrish type I reaction, that is, photochemical
hemolysis of the α-C–C bond of the ketone.[47] The free radical species then react with electron
rich C–C double bonds on methacrylate moieties of the surrounding
monomer which initiates the polymerization reaction. Propagation continues
through polymerizable methacrylate groups until the growing kinetic
chain is terminated via recombination with another radical or through
hydrogen abstraction and disproportionation. Because the rate of initiation
for a photoinitiation reaction depends on absorbance of light, local
reaction speeds can be modulated across a substrate surface by selectively
masking incident irradiation.Accordingly, unidirectional parallel
line-space gratings were made by masking the prepolymer formulation
with Ronchi rule optics that have alternating transparent (glass)
and reflective (chrome) bands (Figure 1). Each
band is a straight line with a width of 25 μm and extends across
the entire length of the mask. Multidirectional or angled patterns
were generated by masking the reaction with repeating reflective angles.
Masking the photopolymerization reaction in this manner locally modulates
polymerization kinetics,[48,49] which results in microscale
periodic raised and depressed features that match the width of the
photomask bands. Surface depressions occur beneath reflective bands
and raised features appear beneath transparent bands. Final thin film
surface topography is composed of uniform, gradually transitioning
microfeatures that contrast with stark, on–off type features
generated via multistep lithographic etching methods.[33,41,50] The gradual transitions between
microfeatures are likely due to the diffraction of light as it passes
through microscale photomask bands[51,52] and due to
diffusion of monomer toward reactive regions as demonstrated in interference
patterning holographic photopolymerization.[53] Once the light source is shuttered, the reaction rate rapidly decreases
as no new radicals are generated via photon absorption.[54] Uni- and multidirectional micropatterns were
measured and characterized by white light interferometry (Figure 1 D–E). As expected, micropattern spacing
closely matches photomask band spacing.
Figure 1
Schematic of micropattern
fabrication process for neural pathfinding studies. (A) Photopolymerizable
monomer is selectively exposed to UV light through a photomask resulting
in micropatterns across the substrate surface. (B,C) Representation
of transparent (white) and reflective (black) band size of the photomasks.
(D,E) White light optical profiling 3D images of parallel and 90°
angled micropatterned HMA-co-HDDMA substrates representing
100 μm2 areas and channel amplitudes of 7 μm.
Schematic of micropattern
fabrication process for neural pathfinding studies. (A) Photopolymerizable
monomer is selectively exposed to UV light through a photomask resulting
in micropatterns across the substrate surface. (B,C) Representation
of transparent (white) and reflective (black) band size of the photomasks.
(D,E) White light optical profiling 3D images of parallel and 90°
angled micropatterned HMA-co-HDDMA substrates representing
100 μm2 areas and channel amplitudes of 7 μm.For all substrates, the prepolymer
formulation consisted of a 40 wt % hexyl methacrylate (HMA) and 59
wt % 1,6-hexanediol dimethacrylate (HDDMA) mixture with 1 wt % 2,2-dimethoxy-2-phenylacetophenone
(DMPA) as the photoinitiator. In previous work, we demonstrated that
poly(HMA-co-HDDMA) is sufficiently biocompatible
to enable attachment, survival, and growth of SGNs under in vitro
conditions.[43] We also illustrated that
the comethacrylate can be photopatterned and that microfeature dimensions
of the system are readily tunable by modulating photopolymerization
paramenters.[41]
Photopolymerized
Microfeature Morphology and Tuning
Scanning electron microscopy
(SEM) was used to characterize substrate morphology and to confirm
white light interferometric measurements (Figure 2). For unidirectional patterns, continuous, 25 μm wide
parallel ridges and grooves run the length of the masked area with
feature height remaining uniform across the surface. Multidirectional
or repeating angle topographies also closely match microfabricated
photomask band spacings with microfeatures spanning the entirety of
the masked region. For both pattern types, photocured substrates have
a film thickness of 18 μm and a feature depth approximately
40% of the total thickness at 7.4 ± 0.7 μm for the given
reaction conditions. Both patterns also have gradual transitions between
raised and depressed features due to reactive species diffusion and
diffraction of light during the photopolymerizaiton.
Figure 2
Representative SEM micrographs
of micropatterned HMA-co-HDDMA thin films. (A) A
top-down view of a parallel or unidirectional micropattern with a
50 μm feature spacing and 7 μm amplitude. (B) A tilted-cross
sectional view of a parallel pattern demonstrating film thickness
and gradual transitions between raised and depressed features. (C,D)
Top-down and tilted-cross sectional views of repeating 90° angle
or multidirectional micropattern with a 7 μm amplitude.
Representative SEM micrographs
of micropatterned HMA-co-HDDMA thin films. (A) A
top-down view of a parallel or unidirectional micropattern with a
50 μm feature spacing and 7 μm amplitude. (B) A tilted-cross
sectional view of a parallel pattern demonstrating film thickness
and gradual transitions between raised and depressed features. (C,D)
Top-down and tilted-cross sectional views of repeating 90° angle
or multidirectional micropattern with a 7 μm amplitude.Smooth transitions between photopolymerized
microfeatures stand in contrast to infinite slope type features generated
via etching lithographic methods. Cell–material interaction
studies on topographies fabricated by etching methods illustrate important
cell behavior such as polarization and alignment along the axis of
parallel features, differences in alignment to identical microfeatures
based on cell type, and sensitivity to nanotopographical noise.[55−57] However, patterns without sharp features are advantageous for some
studies in that they more closely mimic native cellular niche morphologies.
They may also be used in physical-biochemical cue combination studies
to prevent domination of contact guidance cues over biochemical signaling
events. The single step photopolymerization of micropatterns is also
advantageous because it is fast, low cost, and readily tunable between
each sample run whereas etched features require a much longer multistep
process, expensive reagents, and microfabrication equipment and different
master templates for each desired feature height. Though, it should
also be noted that direct, single step photopolymerization of micro-
and nanotopography is limited in lateral feature resolution due to
reactive species diffusion constraints and is also limited in ultimate
feature depth based on monomer chemistry and reaction kinetics. Tuning
of prepolymer formulation viscosity, photoinitiator choice, irradiation
source, and monomer chemistries may mitigate, but likely will not
eliminate, these potential disadvantages.To compare neural
pathfinding on both uni- and multidirectional patterns, microfeature
amplitude was controlled by shuttering the photopolyermization reaction
at specific UV exposure times (Figure 3). Polymerization
rate rapidly decreases upon shuttering of the radiation source as
no new radicals are formed to initiate propagation reactions and as
existing radicals terminate by combination and disproportionation
reactions. Temporal control of the reaction, thus afforded, enables
kinetic trapping of specific microchannel amplitudes that allow for
direct comparisons between pattern directionalities. To generate channel
amplitudes of 7.4 ± 0.7 μm for both pattern types, UV light
exposure was shuttered at 77 and 85 s for unidirectional and multidirectional
patterns, respectively. Under the given reaction conditions, parallel
pattern amplitude ranged from approximately 1.3 to 8 μm and
90° angle pattern amplitude ranged from 2 to 9 μm. Amplitude
profiles as a function of UV exposure time for both pattern types
are very similar, with slight variations likely being attributable
to differences in light diffraction patterns that alter incident light
intensities locally at the substrate surface. Microfeature amplitude
increase and subsequent decrease occur nearly symmetrically around
a maximum amplitude UV exposure time step. Decreases in amplitude
are likely due to backfilling of masked regions as reactive species
diffuse into shadowed areas and as more photons are allowed to reach
the area through light diffraction and internal reflectance within
the system.
Figure 3
Channel amplitude is modulated by shuttering the UV light source
at specific time increments. Feature depth for parallel and 90°
angle patterns is similar at each exposure. Each point indicates mean
± SD.
Channel amplitude is modulated by shuttering the UV light source
at specific time increments. Feature depth for parallel and 90°
angle patterns is similar at each exposure. Each point indicates mean
± SD.
SGN Survival,
Neurite Length, and Branching on Unpatterned and Patterned Substrates
To compare differences in neurite behavior on varied directional
surface cues, dissociated SGNs were cultured on unpatterned controls,
unidirectional (parallel) patterns, and repeating angle (90°
angle) patterns. Neuronal survival, neurite length, and branching
were examined as an initial comparison (Figure 4). SGN survival on unpatterned and micropatterned poly(HMA-co-HDDMA) is comparable to survival on a tissue culture
plastic (TCP) control (p > 0.05). Further, no
significant difference is evident between primary neurite length,
i.e. the longest neurite from each neuron, on unpatterned controls
compared to unidirectional micropatterns. Total neurite length, that
is, primary neurite length plus branch length, on unpatterned and
unidirectional substrates is also similar. However, both primary and
total neurite lengths are approximately 20% shorter on repeating angle
patterns, relative to unpatterned and parallel pattern substrates.
Neurites on multidirectional surfaces may be shorter due to the presentation
of a higher density of potential encounters with feature edges to
the advancing neural growth cone compared to fewer such encounters
on smooth or unidirectional surfaces. Each encounter with a feature
edge is likely associated with growth cone stalling and the underlying
focal adhesion formation or removal and cytoskeleton rearrangement
events which reduce the rate of neurite extension.[58]
Figure 4
SGN survival, total and primary neurite length (NL), and
branching on unpatterned controls and on parallel and 90° angle
micropatterns of HMA-co-HDDMA polymer substrates.
(A) SGN survival on unpatterned and micropatterned substrates normalized
to a tissue culture plastic (TCP) control. (B) Total and primary SGN
neurite lengths are significantly shorter than corresponding lengths
on parallel patterns and unpatterned controls (*p < 0.05, ANOVA). (C–D) Significantly more branches per
neurite length and per neurite on 90° angle patterns are observed
compared to neurites on parallel patterns and unpatterned controls
(*p < 0.05, ANOVA). Error bars represent standard
error of the mean (SE).
In addition
to neurite length, SGN neurite branching also significantly differs
on substrates with varied physical surface cues. The degree of branching
per neurite and per 100 μm of neurite length is lowest for SGNs
cultured on unpatterned substrates. Branching increases on patterned
surfaces, suggesting that growth cone encounters with pattern edges
induce neurite branch formation. Neurite branching is highest on multidirectional
features with a 52% increase in branches per neurite length compared
to unpatterned controls. Interestingly, the neurite length and branching
results taken together illustrate that neural processes behave differently
on physical cues with varied directionality even when all other experimental
conditions are held constant including the width and height of the
microfeatures.SGN survival, total and primary neurite length (NL), and
branching on unpatterned controls and on parallel and 90° angle
micropatterns of HMA-co-HDDMApolymer substrates.
(A) SGN survival on unpatterned and micropatterned substrates normalized
to a tissue culture plastic (TCP) control. (B) Total and primary SGN
neurite lengths are significantly shorter than corresponding lengths
on parallel patterns and unpatterned controls (*p < 0.05, ANOVA). (C–D) Significantly more branches per
neurite length and per neurite on 90° angle patterns are observed
compared to neurites on parallel patterns and unpatterned controls
(*p < 0.05, ANOVA). Error bars represent standard
error of the mean (SE).
SGN Neurite and SGSC Alignment on Unpatterned
and Uni- and Multidirectional Substrates
Developing precise
spatial control of de novo neurite growth from neurons that are relevant
to neural prosthetics, such as inner ear SGNs, will lead to enhanced
prosthesis performance and improved functional outcomes for patients.
Directing neurite growth in this manner will require multiple types
of biologically actionable cues including biophysical cues that can
either induce or inhibit neurite turning events. Accordingly, to compare
neurite pathfinding ability on varied biophysical cues, SGNs were
cultured on unpatterned, unidirectional, and multidirectional photopolymerized
substrates (Figure 5). Qualitative immunofluorescence
imaging illustrates that SGN neurite outgrowth extends randomly on
unpatterned substrates with unpredictable turning events. Conversely,
neurites on unidirectional patterns are observed to strongly orient
to and grow parallel to the microfeature direction (horizontal) while
exhibiting few if any turning events per neurite (Figure 5B). Interestingly, while SGN neurites on multidirectional
patterns do not extend randomly, they also do not closely track the
repeating sequence of 90° turning cues along a micropattern path
despite encountering physical microfeatures that are comparable in
width and depth to those of the unidirectional patterns (Figure 5C). Rather, extending neurites are often observed
to align horizontally and elongate down the length of a feature path.
It is interesting that the neurites extend in this fashion, even though
they must cross multiple feature transitions near the angle turning
points. Furthermore, neurites on multidirectional patterns also turn
much more frequently than on unidirectional substrates with the accompanying
behavior of crossing over a sequence of microfeatures prior to realigning
to the horizontal plane. These microfeature crossing events are rare
in the case of neurite growth on unidirectional patterns, especially
over multiple transitions.
Figure 5
SGN neurite alignment on variations in topographic
cues. (A–C) Immunofluorescent images of neurite growth from
dissociated SGNs on unpatterned (A), parallel (B), and 90° angle
(C) substrates. (D–F) Distribution of SGN neurite segment angles
relative to the horizontal plane on unpatterned (D), parallel (E),
and 90° angle (F) substrates. Regenerative neurite growth orients
randomly on unpatterned substrates as evidenced by a nearly equal
distribution of neurite segment angles relative to the horizontal
plane. Neurites strongly align to unidirectional topographic cues
with 70% of the neurite segment angles at or below 20° from the
pattern direction. Neurites on repeating 90° angle patterns do
not closely track multidirectional cues as demonstrated by the low
incidence of 45° angle neurite segments. They do align somewhat
to the horizontal plane, although with a broader distribution of angles
than on parallel patterns. Dissociated cultures were stained with
anti-NF200 antibodies. Micropatterned substrates have a channel amplitude
of 7 μm.
SGN neurite alignment on variations in topographic
cues. (A–C) Immunofluorescent images of neurite growth from
dissociated SGNs on unpatterned (A), parallel (B), and 90° angle
(C) substrates. (D–F) Distribution of SGN neurite segment angles
relative to the horizontal plane on unpatterned (D), parallel (E),
and 90° angle (F) substrates. Regenerative neurite growth orients
randomly on unpatterned substrates as evidenced by a nearly equal
distribution of neurite segment angles relative to the horizontal
plane. Neurites strongly align to unidirectional topographic cues
with 70% of the neurite segment angles at or below 20° from the
pattern direction. Neurites on repeating 90° angle patterns do
not closely track multidirectional cues as demonstrated by the low
incidence of 45° angle neurite segments. They do align somewhat
to the horizontal plane, although with a broader distribution of angles
than on parallel patterns. Dissociated cultures were stained with
anti-NF200 antibodies. Micropatterned substrates have a channel amplitude
of 7 μm.Qualitative SGN neurite
aligment observations are further supported by sectioning equal lengths
of neurite segments for all scored neurites and measuring their alignment
angle relative to the horizontal plane (Figure 5 D–F). Neurite segment angles (≤90°) are binned
as a percentage of the total neurite segments measured in 10°
increments to represent overall alignment. SGN neurites on unpatterned
polymer substrates extend randomly as demonstrated by the relatively
equal distribution of neurite segment angles across the 0–90°
spectrum of alignment. In contrast, neurite segment angles are much
more frequent at low angles (i.e., < 20°) relative to horizontal
on unidirectional, parallel feature micropatterns. Approximately 50%
of the neurite segments are considered completely aligned to the pattern
direction with an alignment angle of 10° or less and a full 72%
of the neurite segment population is within the 20° angle population,
indicating significant alignment to pattern features.However,
as previously mentioned, neurites on multidirecitonal substrates do
not strongly track the repeating 90° angle patterns as evidenced
by low incidence (∼20%) of neurite segment angles in the 40°
and 50° degree bins. Because the 90° angle features have
been rotated 45° for imaging, it could be expected, assuming
that neurite growth is strongly and consistently influenced by micropattern
physical features on this size scale, that a significant incidence
of neurite segment angles at or near 45° relative to the horizontal
plane would be evident. Instead, a fairly equal distribution exists
across all segment angles in the 30–90° population with
a relatively high incidence (43%) of neurite segments at or below
20° from the horizontal plane. Importantly, the parallel and
repeating angle micropatterns used for both experiments are quite
similar. In both cases, the ridge and groove widths are 25 μm
and the channel amplitude or feature height is approximately 7 μm.
Polymerization was halted at similar time steps for both platforms
by shuttering the UV light source yielding very similar groove-ridge
transitions. All else being equal, it might be expected to see SGN
neurites closely tracking the groove paths and, while perhaps not
making exact 90° angle turns, there would still be a high incidence
of 45° angle neurite segments tracking the groove path. It is
clear that the neurite segment distribution does not match the random
distribution seen on unpatterned polymer substrates but that it more
closely resembles neurite orientation on unidirectional platforms.
However, despite the similarities in neurite alignment to unidirectional
patterns, outgrowth complexity increases on multidirectional substrates
as neurites are observed to change direction and to cross microfeatures
significantly more than on comparable unidirectional feautres.To realize functional outcome improvements of neural prosthetics,
it may be crucial to direct neurites to specific but separate areas
that contain stimulating electrodes.[20] While
a variety of neural contact guidance studies demonstrate strong alignment
to the long axis of parallel feature micropatterns, their use may
be limited to applications that require significant unidirectional
growth such as intraluminal patterning of nerve conduits to bridge
nerve gaps.[8] Appropriate turning events
will be required to spatially segregate and then stimulate specific
neurites or groups of neurites. Multidirectional patterns with repeating
90° turns in this work induced greater turning than unidirectional
patterns, though neurites are not observed to turn at each encounter
of a biophysical cue. Similar behavior occurs when neurites extend
between appropriately spaced microposts.[59−61] A lower density
in directional changes per area or turns with wider angles may allow
for more consistent guidance and predictable turning events throughout
the length of a neurite.SGSC alignment on variations in topographic
cues. (A–C) Immunofluorescent images of SGSCs on unpatterned
(A), parallel (B), and 90° angle (C) substrates. (D–F)
Distribution of SGSC angles relative to the horizontal plane on unpatterned
(D), parallel (E), and 90° angle (F) substrates. SGSCs orient
randomly on unpatterned substrates and align strongly to unidirectional
topographic cues with 80% of the cell angles at or below 20°
from the pattern direction. SGSCs on repeating 90° angle patterns
do not closely track multidirectional cues as demonstrated by the
low incidence of 45° cellular angles. Dissociated cultures were
stained with anti-S100 antibodies. Micropatterned substrates have
a channel amplitude of 7 μm.Because glial cells are crucial to the proper function and
survival of neuronal cells and because they support and direct neurite
growth,[43,62,63] the behavior
and alignment of SGSCs was also measured and compared on unpatterned
and uni- and multidirectional micropatterns (Figure 6). SGSC alignment mirrors SGN neurite segment alignment. In
this case, each scored SGSC was fit with an ellipse and the alignment
was measured as the angle between the major axis of the ellipse relative
to the horizontal plane. SGSCs orient randomly on unpatterned substrates
and strongly align to parallel, unidirectional micropatterns with
82% of SGSCs having an alignment angle of 20° or less. As with
SGN neurites on multidirectional platforms, SGSCs do not orient randomly
as if on an unpatterned surface but more closely resemble horizontally
aligned growth as seen on parallel micropatterns. Again, there is
a much lower incidence of 45° alignment angles than would be
expected if SGSCs closely tracked repeating 90° angle microfeatures.
Figure 6
SGSC alignment on variations in topographic
cues. (A–C) Immunofluorescent images of SGSCs on unpatterned
(A), parallel (B), and 90° angle (C) substrates. (D–F)
Distribution of SGSC angles relative to the horizontal plane on unpatterned
(D), parallel (E), and 90° angle (F) substrates. SGSCs orient
randomly on unpatterned substrates and align strongly to unidirectional
topographic cues with 80% of the cell angles at or below 20°
from the pattern direction. SGSCs on repeating 90° angle patterns
do not closely track multidirectional cues as demonstrated by the
low incidence of 45° cellular angles. Dissociated cultures were
stained with anti-S100 antibodies. Micropatterned substrates have
a channel amplitude of 7 μm.
SGN Neurite Positioning and Microfeature Crossing
The percentage of neurite length in microfeature grooves and the
number of feature crossings per neurite length were measured to further
characterize differences in neural pathfinding on uni- versus multidirectional
surface cues (Figure 7). The majority of regenerative
SGN neurite length is found in depressed microfeatures (i.e., grooves)
on both parallel and repeating angle micropatterns. Nearly 75% of
all neurite length tracks surface depressions when SGNs are cultured
on parallel feature micropatterns. A few neurites were even observed
to turn 180° while remaining sequestered within microgrooves
(Figure 7B). The quantified preference for
depressed features is in contrast to other research, which observed
neural processes preferentially growing on elevated features; however,
the width of the features used were much narrower (i.e., < 1 μm)
than the photopolymerized patterns used here.[14] While the majority of neurite length on 90° angle patterns
is also found in surface depressions, the percent length in the depressions
is still significantly less than that of neurites on unidirectional
features. The difference is likely due to the presentation of multiple
directional cues to the advancing growth cone, which increases the
number of potential guidance points, and ultimately leads to increased
topographic feature crossings.
Figure 7
SGN percent neurite length in depressed
microfeatures and feature crossing per neurite length on uni- and
multidirectional topographic cues. (A) The majority of SGN neurite
length on both parallel and 90° angle patterns is located in
the grooves (*p < 0.05, Mann–Whitney Rank
Sum test). (B,C) Immunofluorescent images of SGN neurite growth in
groove microfeatures. (D) SGN neurites crossed ridge-groove transitions
significantly more on multidirectional patterns compared to unidirectional
substrates (*p < 0.05, Mann–Whitney Rank
Sum test). (E,F) Immunofluorescent images of SGN neurites crossing
ridge-groove transitions on various micropatterns. Dissociated cultures
were stained with anti-NF200 antibodies. Micropatterned substrates
have a channel amplitude of 7 μm.
SGN percent neurite length in depressed
microfeatures and feature crossing per neurite length on uni- and
multidirectional topographic cues. (A) The majority of SGN neurite
length on both parallel and 90° angle patterns is located in
the grooves (*p < 0.05, Mann–Whitney Rank
Sum test). (B,C) Immunofluorescent images of SGN neurite growth in
groove microfeatures. (D) SGN neurites crossed ridge-groove transitions
significantly more on multidirectional patterns compared to unidirectional
substrates (*p < 0.05, Mann–Whitney Rank
Sum test). (E,F) Immunofluorescent images of SGN neurites crossing
ridge-groove transitions on various micropatterns. Dissociated cultures
were stained with anti-NF200 antibodies. Micropatterned substrates
have a channel amplitude of 7 μm.A crossing event for this study is defined as the transition
of the primary neurite from a raised or depressed microfeature to
its corresponding opposite. Due to strong alignment on parallel microfeatures,
SGN neurite crossing is, on average, very low with many neurites making
only one or no feature crossings throughout the entirety of their
length. Conversely, microfeature crossings per neurite length on multidirectional
patterns are significantly higher than on unidirectional patterns.
Approximately three times the number of crossing events per length
of neurite are observed on multidirectional micropatterns (Figure 7 D–F). Therefore, despite microfeatures for
both pattern types having nearly identical widths and depths, SGN
neurite pathfinding does not consistently track every change in feature
direction as pattern complexity increases. Rather, neurites appear
to extend in a manner that minimizes turning events by growing either
down the length of a groove path (i.e., horizontally) or directly
over multiple feature transitions.
SGN Neurite
Turning on Unpatterned and Uni- and Multidirectional Substrates
The number of turns per neurite in response to topographic guidance
cues was measured as a final comparison of SGN neurite pathfinding
ability on uni- and multidirectional patterns and on unpatterned controls
(Figure 8). Turns are defined as a 10°
change in direction over three consecutive 10 μm length neurite
segments relative to the previous three segments. Ultimately, the
capacity to guide regenerative neurite growth to spatially specific
stimulating elements will require strong adherence to engineered guidance
cues and may include precision turning at specific points. SGN neurites
turn over five times more on unpatterned substrates compared to unidirectional
micropatterns. They also turn significantly more on unpatterned substrates
compared to neurites on repeating angle features. The high degree
of turning on unpatterned platforms supports the observation that
neurite growth is random on unpatterned controls and results in multiple
instances of neural growth cone direction change and, thus, turning
points for any given neurite (Figure 5).
Figure 8
Number of turns
per SGN neurite on substrates with varied topography. SGN neurites
turned significantly more on unpatterned surfaces compared to patterned
substrates and on patterns that change direction compared to unidirectional
morphologies (*p < 0.05, ANOVA).
Number of turns
per SGN neurite on substrates with varied topography. SGN neurites
turned significantly more on unpatterned surfaces compared to patterned
substrates and on patterns that change direction compared to unidirectional
morphologies (*p < 0.05, ANOVA).The comparatively low number of neurite turns on
unidirectional patterns confirms the strong neural alignment data
on parallel microfeatures and further supports the observation that
there is little to no feature crossing for a given neurite on unidirectional
guidance cues. However, while significantly more turning events are
evident on multidirectional patterns compared to unidirectional features,
the neurites do not closely track each 90° turn but can cross
over multiple microfeatures and turn to align along portions of them
along its path length.
Conclusion
Directing
regenerative neural pathfinding with engineered surface cues to specific
stimulatory elements will potentially improve the neural-prosthesis
interface and lead to enhanced functional outcomes. In this work,
we evaluate the neural pathfinding ability of SGN neurites on multidirectional
micropatterns generated using the spatial and temporal control inherent
to photopolymerization. Microfeature shape and width are controlled
through photomask design, and feature depth is tuned on the micrometer
scale by altering reaction parameters of the photopolymerization.
The pathfinding ability of SGNs was evaluated on multidirectional
repeating 90° patterns and compared to behavior on unpatterned,
and unidirectional micropatterns. SGN neurites extend randomly on
unpatterned surfaces and strongly align to and consistently track
unidirectional patterns. Interestingly, when presented with multidirectional
cues of the same width and height as those of the unidirectional pattern,
SGN neurites are substantially influenced by, but do not consistently
track, repeating turns. Rather, neurite extension is observed to avoid
turning events even to the extent of crossing over multiple feature
transitions which is rarely seen on unidirectional patterns. Spiral
ganglion Schwann cells (SGSCs), which provide trophic support to SGNs,
mirror the alignment behavior of SGN neurites on each pattern type.
On both uni- and multidirectional patterns, the majority of the neurite
path length is located in depressed surface features but significantly
more feature crossing events occur on multidirectional surfaces. This
work improves understanding of neural pathfinding from prosthesis-relevant
neurons in relation to physical guidance cues and informs efforts
to direct neurite growth toward specific stimulatory elements for
the purpose of improving functional outcomes of neural prosthetics.
Precisely directing neurite growth in this manner will enable fabrication
of next generation neural prosthetics with enhanced stimulatory specificity.
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