Jiajun Luo1,2, Shudong Zhao1,3, Xiangsheng Gao1,4, Swastina Nath Varma1, Wei Xu1,5, Maryam Tamaddon1, Richard Thorogate6, Haoran Yu7, Xin Lu5, Manuel Salmeron-Sanchez2, Chaozong Liu1. 1. Division of Surgery & Interventional Science, Royal National Orthopaedic Hospital, University College London, Stanmore HA7 4LP, U.K. 2. Centre for the Cellular Microenvironment, University of Glasgow, Glasgow G12 8LT, U.K. 3. Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China. 4. Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China. 5. Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, State Key Laboratory for Advanced Metals and Materials, University of Science and Technology Beijing, Beijing 100083, China. 6. London Centre for Nanotechnology, University College London, London WC1H 0AH, U.K. 7. Institute of Bioengineering, College of Chemical and Biological Engineering, Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Abstract
Nanotopography is an effective method to regulate cells' behaviors to improve Ti orthopaedic implants' in vivo performance. However, the mechanism underlying cellular matrix-nanotopography interactions that allows the modulation of cell adhesion has remained elusive. In this study, we have developed novel nanotopographic features on Ti substrates and studied human osteoblast (HOb) adhesion on nanotopographies to reveal the interactive mechanism regulating cell adhesion and spreading. Through nanoflat, nanoconvex, and nanoconcave TiO2 nanotopographies, the evolution of Coulomb's force between the extracellular matrix and nanotopographies has been estimated and comparatively analyzed, along with the assessment of cellular responses of HOb. We show that HObs exhibited greater adhesion and spreading on nanoconvex surfaces where they formed super matured focal adhesions and an ordered actin cytoskeleton. It also demonstrated that Coulomb's force on nanoconvex features exhibits a more intense and concentrated evolution than that of nanoconcave features, which may result in a high dense distribution of fibronectin. Thus, this work is meaningful for novel Ti-based orthopaedic implants' surface designs for enhancing their in vivo performance.
Nanotopography is an effective method to regulate cells' behaviors to improve Ti orthopaedic implants' in vivo performance. However, the mechanism underlying cellular matrix-nanotopography interactions that allows the modulation of cell adhesion has remained elusive. In this study, we have developed novel nanotopographic features on Ti substrates and studied human osteoblast (HOb) adhesion on nanotopographies to reveal the interactive mechanism regulating cell adhesion and spreading. Through nanoflat, nanoconvex, and nanoconcave TiO2 nanotopographies, the evolution of Coulomb's force between the extracellular matrix and nanotopographies has been estimated and comparatively analyzed, along with the assessment of cellular responses of HOb. We show that HObs exhibited greater adhesion and spreading on nanoconvex surfaces where they formed super matured focal adhesions and an ordered actin cytoskeleton. It also demonstrated that Coulomb's force on nanoconvex features exhibits a more intense and concentrated evolution than that of nanoconcave features, which may result in a high dense distribution of fibronectin. Thus, this work is meaningful for novel Ti-based orthopaedic implants' surface designs for enhancing their in vivo performance.
Entities:
Keywords:
Ti implant; cell adhesion; cell−material interaction; nanotopography; protein adsorption
Titanium-based biomaterials
have been widely applied in orthopaedic
implants due to the several nanometers thick TiO2 film
providing a successful biocompatibility.[1] However, this natural formed film is biologically inert and leads
to poor bone conductive and cell adhesion.[2] Cell–material interaction is fundamental but vital to Ti-based
orthopaedic biomaterials’ success.[3−5] The interaction
represents the attachment of adherent cells to a material surface
and their related cell behaviors such as proliferation, differentiation,
migration, or apoptosis.[6−10] Cell responses to their surrounding microenvironment are mediated
by the extracellular matrix (ECM), providing a natural web of intricate
nanofibers to support cells and present a cell-instructive microenvironment
to guide cell behaviors.[11,12] Among the ECM proteins,
fibronectin (FN) is a large dimeric glycoprotein, initially adsorbed
on the material surface,[13] which is able
to ligate to cell receptors termed integrins through a cell-binding
domain, FNIII9–10, containing the arginine–glycine–aspartic
(RGD) sequence. Thus, FN plays a key initial mediator role with several
conformation, and it has been proven that the adsorption of FN on
a biomaterial is an effective approach to improve its biofunctional
performance.[13−16]Materials science offers the possibility to precisely engineer
the ECM–material interface through the control of chemistry,[7,17] stiffness,[18,19] and topography down to the nanoscale[20,21] to instruct cell behaviors though anchored proteins. Nanotopographical
materials are particularly interesting as they are in the same size
range as protein molecules of interest.[22,23] In terms of
nanotopographical fabrication, electron beam lithography and block
copolymer technique anodization methods have been used to generate
nanopits[21,24] and nanopillars[25−27] to investigate
focal adhesion (FA),[22] filopodia sense/extension,[28] and osteoinduction.[29] It is remarkable that to make sense to orthopaedics, it is important
to fabricate into appropriate materials, such as Ti;[30] this presents challenges in terms of high-fidelity nanoscale
fabrication.To understand the nanotopographical mechanisms
of cell control
on Ti, theoretical calculations between the ECM and Ti nanorough topographies
have been conducted. Electrostatic interaction is the dominant factor,
and it was concluded that the binding of a peptide to a Ti-based substrate
is strengthened by the ionic interactions of charged atoms and polar
interactions of neutral atoms.[31,32] In specific, the interaction
between the negatively charged Ti surface and a negatively charged
plasma membrane is mediated by charged proteins with a distinctive
quadrupolar internal charge distribution.[33] Regarding the nanofeatured Ti, nanorough topography creates a surface
with an enhanced electric field strength that is strongly attractive
(electrostatic attraction, Coulomb’s force) to proteins due
to the increased curvature of edge.[23] Furthermore,
the higher the surface charge density, the more the cation will act
as an attractant mediator between FN and Ti.[33−35] This charge-dominated
mechanism is proposed through dynamics simulation in nanotopography–FN
interactions in the nanoscale. However, it is unfeasible to investigate
the FN adsorbing in situ because of the interference of charge caused
by introducing a test probe into the FN–substrate system. Thus,
the combination of experimental investigation and theoretical calculation
is a critical approach for further revealing the mechanism of ECM–nanotopography
interactions.According to this theory, the electric field intensity
is determined
by the curvature of the nanotopographical features. Thus, this is
an essential parameter to consider to achieve optimal, consistent
electrostatic attraction—Coulomb’s forces to enhance
bone cell interaction with Ti surfaces. Hence, we fabricated nanoflat,
nanoconvex, and nanoconcave topographies in TiO2 as such
shapes have been implicated in primary human osteoblast (HOb) initial
attachment. A model of FN adsorption was then determined to describe
the variation of electric field and the evolution of Coulomb’s
electrostatic attraction on the nanotopographies before the initial
adhesion behavior of HObs was analyzed. The cytoskeleton of cells
on nanoconvex topographies demonstrated well-organized arrangement
along with the formation of super mature FA formation (super mature
adhesions have a length >5 μm). Cells on nanoconcave topographies
had a decreased F-actin organization and smaller FA, typically 2–3
μm in length. Poor adherent behavior of cells on nanoflat substrates
was observed. Cellular filopodia and morphological features were observed
by scanning electron microscopy (SEM), shown identical spreading and
adhesion behavior with confocal images. Our modeling combined to these
results supported the hypothesis that Coulomb’s force produced
by nanoconvex is not only more intense but also constantly attracting
FN and leads to an increased FN ligand density at the tip region on
each convex subunit. This high dense adsorbed FN leads to a higher
density of ligand (integrin), thus triggering mature FA formation
and further improved adhesion of cells.
Experimental Section
Nanotopography Fabrication and Characterization
TiO2 nanoconvex and nanoconcave used in this work were
fabricated on pure titanium foil (99.6+% purity, 1.5 mm thickness,
GoodFellow) using anodization. In brief, the titanium foil was immersed
in ethylene glycol (Fisher Chemical) with 0.5 wt % NH4F
(>98.0%, Fisher Chemical) as anode, the countering cathode was
a graphite
sheet. Under a constant 40 V (DC), the titanium foil was immersed
into distilled water and vibrated in an ultrasonic cleaner to polish
titanium. Again, the polished titanium foil was anodized in similar
conditions to generate a TiO2 tubular film. After that,
surfaces coated with epoxy glue (Araldite) on titanium disks were
applied to peel the TiO2 tubular film off the titanium
substrate. Nanoflat was fabricated on silicon wafer by an electron
beam evaporator, with a layer of Ti (∼50 nm, thickness ±
10%) deposited by the electron beam evaporation method with 0.02 nm/s
deposition rate. After evaporation, the nanoflat titanium silicon
wafer was cut into 10 × 10 mm2 squares.
Scanning Electron Microscopy
Nanotopograph
arrangements were subsequently measured by SEM (FEI Nova, under 10
kV, WD = 10 mm) after sputter-coated with 3 nm Au. For cell SEM imaging,
HOb cells were seeded on the nanotopographies at 2000 cells/cm2 and were fixed in 1.5% glutaraldehyde/0.1 M sodium cacodylate
buffer for 1 h at 4 °C. After fixation, cells were then washed
three times in 0.1 M sodium cacodylate buffer before incubation in
1% osmium tetroxide/0.1 M sodium cacodylate buffer. Afterward, nanotopographies
were washed three times with deionized (DI) water and stained with
0.5% uranyl acetate/distilled water for 1 h in the dark, and followed
by the dehydration procedure through an ethanol gradient (30, 50,
70, 90, and 100% ethanol). Samples were loaded onto a critical point
dryer (liquid CO2) for 1 h 30 min and then given a gold/palladium
coating using a POLARON SC515 SEM COATER. High-resolution secondary
electron of cell nanotopography interactions imaging was performed
at the Imaging, Spectroscopy and Analysis Centre (ISAAC) at the University
of Glasgow, UK. The images were acquired with a Zeiss Sigma VP Field
Emission scanning electron microscope under high vacuum conditions
using 5 kV accelerating voltage, an aperture size of 30 mm, and at
a working distance of 5 mm.
X-ray Photoelectron Spectroscopy
The chemical composition of nanotopographies was measured by X-ray
photoelectron spectroscopy (XPS), and XPS was carried out with a two
chamber Thermo K-alpha spectrometer using a monochromated Al Kα
X-ray source (1486.6 eV) in the constant analyzer energy mode. X-rays
were focused to a 400 μm spot at the nanotopography surface,
which defined the analysis area. Sample charging was prevented by
use of a dual beam flood gun. High-resolution core line spectra, were
recorded at 20 eV pass energy, and survey spectra were recorded at
150 eV pass energy.
Atomic Force Microscopy
The precise
topographical features of nanoconvex and nanoconcave were examined
by atomic force microscopy (AFM, Bruker AXS Dimension Icon) with a
ScanAsyst cantilever (0.4 N/m) in the PeakForce Tapping mode. High
resolution was carried out for nanoflat topography.
Kelvin Probe Force Microscopy
Surface
potential was characterized by Kelvin probe force microscopy (KPFM,
Bruker AXS Dimension Icon) with sample bias model (Wsample = Wtip + potential).
For nanoconvex and nanoconcave, the Kelvin probe by used a PFQNE-AL
cantilever 0.8 N/m in PeakForce Tapping Kelvin probe AM. The tip function
was 4.4 eV. KPFM surface charge for nanoflat was applied with the
blunter tip that gives lower resistance, and with samples bias, the
tip work function was 4.29 eV calibrated on freshly cleaved highly
oriented pyrolytic graphite (HOPG) (4.6 V). In situ FN distribution
on nanoflat, nanoconvex, and nanoconcave were characterized by AFM.
FN from human plasma was adsorbed on substrates by immersing the substrates
in FN solution at a concentration of 5 μg/mL in phosphate-buffered
saline (PBS). To comparable analysis, a control group was performed
to test nanoflat, nanoconvex, and nanoconcave topographies in pure
PBS solution.
HOb Seeding
Nanoflat, nanoconvex,
and nanoconcave topographies were cleaned using distilled water and
sterilized with EtOH. After drying in a hood, the nanotopographies
were adsorbed with human plasma FN (from Sigma Merck) solution at
5 μg/mL in PBS buffer for 20 min. The solution was then adsorbed
onto the surface, and the specimens were dried in a hood. HObs (from
Sigma Merck) were cultured on specimens for 3 h with 120 μL/sample
density. Each specimen was seeded with 1200 cells were maintained
with Dulbecco’s modified Eagle medium contains with 1% penicillin
without fetal bovine serum. Before confocal observation, cells were
washed with 3× PBS and fixed with 4% formaldehyde diluted in
DI water at room temperature for 20 min. After that, 0.1 mL of Triton
X was added for 30 min under room temperature. Cells were blocked
for nonspecific binding using 1% BSA and incubating at 37 °C
for 5 min. After blocking, the primary antibody (Anti-Vinculin, mouse
from Sigma Merck, UK) was added for 12 h under 4 °C. Alexa Fluor
594 Phalloidin, 1:300 (from Thermo Fisher, UK), and Hoechst 33258
(from Thermo Fisher, UK) were applied at room temperature for 1 h.
Cells were next washed with 0.5% Tween in PBS three times. Then, a
biotinylated secondary antibody (mouse, UK) was added and incubated
at room temperature for 1 h.
Estimated FN Charge
The charge of
FN strongly affects Coulomb’s force between the FN and nanomaterials.
FN is a glycoprotein of the ECM that is coded by the FN1 gene. The
plasma FN has two nearly identical polypeptide chains connected by
two disulfide bonds present near the carboxy terminal. Each polypeptide
chain is nearly 250 kDa. The sequence we used for calculating the
charge is isoform1 (Uniprot KB-P02751), with the length of 2386 and
mass of 262 kDa. Protein calculator v3.4 was used for calculating
the charge of FN based on its monomer sequence. During the calculation,
pH = 7 was set as the condition where the protein is in, consistent
with our experiment conditions. The charge of FN was estimated by
protein calculator based on the hypothesis. The hypotheses were as
follows;Molecular weight of FN was 440 kDa with
an unfold structure.All residues have pKa values that are
equivalent to the isolated residues.The pKa values
for the individual amino acids were from Stryer Biochemistry, 3rd
edition.
Results
Nanotopographies with Controlled Curvature
on Subunit Features
A first major challenge was to create
TiO2 nanotopographies with identical curvature/high fidelity
of the nanofeatures and similar Coulomb’s force generated by
each nanofeature. Coulomb’s force relies on the electric charge
produced by both the protein and subunit, and the separation distance.
In terms of Ti material surface charge, the electrons are prone to
transfer to adjacent regions of higher curvature when FN adsorption,
leading to an increased charge density at this region.[33] Thus, the high curvature region generates enhanced
Coulomb’s force compared to regions of low curvature. Figure shows the topographical
characteristics of the nanoflat, nanoconvex, and nanoconcave surfaces.
Nanoconvex and nanoconcave surfaces exhibited symmetrical topographies;
nanoconvex consisting of spherical caps, and nanoconcave consisting
of an egg-box pattern. The arrangement of nanofeatures on the nanoconvex
and nanoconcave surfaces was highly organized, as shown in Figure a,b. Figure c demonstrates that the curvatures
of both nanoconvex and nanoconcave subunits were identical at the
nanoscale. Nanoflat morphology had a nanometric mirror finish with
1.79 nm average height/depth. Ten nanofeatures on the nanoconvex and
nanoconcave surfaces were selected for statistical measurement, as
illustrated in Figure d–f.
Figure 1
Topographical characterization of nanoflat, nanoconvex,
and nanoconcave.
(a) Topography of nanoflat, nanoconvex, and nanoconcave by SEM, illustrates
the nano scale flat of nanoflat, and highly ordered arrangement of
subunits on nanoconvex and nanoconcave. (b) Three-dimensional illustration
of nanoflat, nanoconvex, and nanoconcave by AFM tapping mode in the
500 × 500 nm2 square area. (c) Sectional dimensions
of three topographies. (d) Based on the AFM section measurement, the
statistic dimensions of nanoflat (height), each subunit (height and
width) of nanoconcave and nanoconcave (height and width). Ten subunits
on different nanotopographies were analyzed (n =
10). ***, p < 0.001; n.s., not significant. Error
bars represent the standard error with the mean (s.e.m). (e) Surface
area of nanoconvex and nanoconcave. Nanoconvex and nanoconcave are
seen as a spherical dome. (f) Schematic illustration of dimensions
of nanoconvex and nanoconcave in average, respectively.
Topographical characterization of nanoflat, nanoconvex,
and nanoconcave.
(a) Topography of nanoflat, nanoconvex, and nanoconcave by SEM, illustrates
the nano scale flat of nanoflat, and highly ordered arrangement of
subunits on nanoconvex and nanoconcave. (b) Three-dimensional illustration
of nanoflat, nanoconvex, and nanoconcave by AFM tapping mode in the
500 × 500 nm2 square area. (c) Sectional dimensions
of three topographies. (d) Based on the AFM section measurement, the
statistic dimensions of nanoflat (height), each subunit (height and
width) of nanoconcave and nanoconcave (height and width). Ten subunits
on different nanotopographies were analyzed (n =
10). ***, p < 0.001; n.s., not significant. Error
bars represent the standard error with the mean (s.e.m). (e) Surface
area of nanoconvex and nanoconcave. Nanoconvex and nanoconcave are
seen as a spherical dome. (f) Schematic illustration of dimensions
of nanoconvex and nanoconcave in average, respectively.
Surface Chemical Composition of Nanotopographies
Materials chemistry also plays a central role to manipulate cell
responses, and thus, the chemical characterization of nanotopographies
is an initial step but necessary for further proving the influence
of topographical effects. The chemical composition of nanotopographies
was characterized by XPS. In specific, of oxygen (O 1s) peak (Figure a–c), titanium
(Ti 2p) peak (Figure d–f) on nanotopographies were scanned by high-resolution spectra.
Meanwhile, the chemical composition was measured by the full spectrum
scan. From Figure g, the nanoflat, nanoconvex, and nanoconcave have shown three main
peaks of O 1s, Ti 2p, and C 1s, and this indicates that the compositions
of all topographies were identical and consist with TiO2, which is the main composition formed by the natural oxidation of
Ti-based orthopaedic implants.
Figure 2
Chemical composition analysis by XPS.
(a) High-resolution scan
of O1s of nanoflat. (b) High-resolution scan of O 1s of nanoconvex.
(c) High-resolution scan of O 1s of nanoconcave. (d) High-resolution
scan of Ti 2p of nanoflat. (e) High-resolution scan of Ti 2p of nanoconvex.
(f) High-resolution scan of Ti 2p of nanoconcave. (g) Full spectra
scan of nanotopographies.
Chemical composition analysis by XPS.
(a) High-resolution scan
of O1s of nanoflat. (b) High-resolution scan of O 1s of nanoconvex.
(c) High-resolution scan of O 1s of nanoconcave. (d) High-resolution
scan of Ti 2p of nanoflat. (e) High-resolution scan of Ti 2p of nanoconvex.
(f) High-resolution scan of Ti 2p of nanoconcave. (g) Full spectra
scan of nanotopographies.
Surface Potential of Nanotopographies
Because electron motion is regulated by the topographical curvature,
we then measured the surface potential of the nanotopographies using
KPFM. The corresponding features between surface potential and topographies
in the absence of an external electric field are illustrated in Figure a,b. The surface
potential difference of the nanoflat surfaces exhibited the highest
consistent, this is due to the mirror planarity down to the nanoscale.
The nanoflat surface was designed as a control featured with the uniform
distribution of electrons. Interestingly, the potential difference
between the nanoconvex and nanoconcave surfaces had the same trend,
where the top of a convex feature or valley of a concave feature exhibited
higher potential for each subunit (Figure b,c). This indicates that electrons on convex
features distributed at the tip have a higher density and are “prone”
to transfer to the bottom of the feature (B), and concave feature
associated electrons are “prone” to transfer from the
valley to the ridge. Furthermore, absolute potential difference (calibrated
by HOPG) of topographical subunits of nanoconvex and nanoconcave surfaces
have no statistical difference, and are significantly higher than
on the nanoflat surfaces (Figure d,e).
Figure 3
Relative surface potential distribution on nanoflat, nanoconvex,
and nanoconcave. (a) AFM topographical characterization of nanoflat,
nanoconvex, and nanoconcave by the tapping mode in 1 × 1 μm2 square area. (b) Surface potential distribution measured
by KPFM with the sample bias model in identical topography 1 ×
1 μm2 square area. The surface potential of each
topography displays highly correlated with the topographical features.
With the sample bias model, topographical bumps on nanoconvex are
shown bowls in potential distribution, and nanoconcave displays a
constant shape in both topography and surface potential distribution.
(c) Sectional potential distribution in relative value on nanoflat,
nanoconvex, and nanoconcave. (d) Absolute potential difference on
each subunit of nanoflat, nanoconvex, and nanoconcave. Ten subunits
on different nanotopographies were analyzed (n =
10). ***, p < 0.001; n.s., not significant. Error
bars represent standard error compared with the mean (s.e.m). (e)
Measurement of surface potential of nanoconvex and nanoconcave calibrated
by HOPG.
Relative surface potential distribution on nanoflat, nanoconvex,
and nanoconcave. (a) AFM topographical characterization of nanoflat,
nanoconvex, and nanoconcave by the tapping mode in 1 × 1 μm2 square area. (b) Surface potential distribution measured
by KPFM with the sample bias model in identical topography 1 ×
1 μm2 square area. The surface potential of each
topography displays highly correlated with the topographical features.
With the sample bias model, topographical bumps on nanoconvex are
shown bowls in potential distribution, and nanoconcave displays a
constant shape in both topography and surface potential distribution.
(c) Sectional potential distribution in relative value on nanoflat,
nanoconvex, and nanoconcave. (d) Absolute potential difference on
each subunit of nanoflat, nanoconvex, and nanoconcave. Ten subunits
on different nanotopographies were analyzed (n =
10). ***, p < 0.001; n.s., not significant. Error
bars represent standard error compared with the mean (s.e.m). (e)
Measurement of surface potential of nanoconvex and nanoconcave calibrated
by HOPG.The dimension of FN is strongly dependent on its
conformation.
In general, FN could be visualized as two identical strands with 61
nm in length, with a molecular weight of 440 kDa.[36,37] At the nanoscale, because the charged FN attraction is influenced
by the adjacent charge on a topographical subunit (size, 80 nm), the
anchoring points are possibly the strongest attractive region on the
subunit. It is recognized that cells do not directly interact with
material surfaces, but cell interaction with a material surface depends
on the ligand density of ECM for anchorage. However, because the FN
is adsorbed at the cell nanotopography interface, the direct determination
of adsorbed FN at the cell–matrix interface is unfeasible.
Instead, a method is accomplished to speculate FN arrangement though
analyze cellular adhesion dimensions, as the high dense of FN can
stimulate the maturement of the FA complex.
HOb Initial Adhesion on Nanotopographies
Cells’ initial response (3 h) to nanotopographies was first
analyzed by cell morphological quantification. Figure a shows the HOb initial attachment on nanotopographies
coated with 5 μg/mL FN. HObs were seeded at a low density 1200
cells/cm2 to allow focus on cell–material interactions.
In particular, cells had a similar size on both the nanoconcave and
nanoflat; however, the cell size was significantly larger on the nanoconvex
(Figure b). As the
HObs have a spindle morphology, the cell aspect ratio is also a factor
to consider. Cells on the nanoconvex surfaces had the highest aspect
ratio value, indicating osteoblasts were more elongated than those
on the nanoconcave and nanoflat surfaces. However, no significant
difference of the aspect ratio was observed by the statistical analysis
between nanoflat and nanoconvex. The elongated cellular morphology
is associated with cytoskeleton tension and FA characters. F-actin
immunostaining demonstrated the well-organized F-actin architecture
of cells both on nanoconvex and nanoconcave features. However, the
dimensional features of stress fibers in cells on nanoconvex, width
and length, were significantly increased than those on nanoflat and
nanoconcave surfaces (Figure d,e). Cytoskeleton microfilaments are tethered to integrins.
These transmembrane receptors are recruited and clustered into groups
due to the interaction between ECM and integrins.[38] The integrin binding complexes along with the adhesome
mechanically couple integrins to the force generating actomyosin system,
acting as a “molecular clutch” to transfer load stimuli.[39] Thus, FA formation can directly impact on cytoskeleton
tension, thus directly affecting mechanotransductive pathways. FA
maturation levels are thus important to cell adhesion to the material
surface and subsequent cellular response.
Figure 4
F-actin and FA quantification.
(a) HObs after 3 h on FN adsorbed
nanoflat, nanoconvex, and nanoconcave. First column shows F-actin
cytoskeleton arrangement, second one is FA plaques (vinculin), and
third one is merged image. (b) Cell spreading area measurement. (c)
Aspect ratio measurement per cell. (d) The length of F-actin per cell.
(e) F-actin cluster width per cell. (f) FA size per cell. (g) Focal
adhesion quantification per cell. 15 cells on different nanotopographies
were analyzed (n = 15). ***, p <
0.001; **, p < 0.01; *, p <
0.05; n.s., not significant.
F-actin and FA quantification.
(a) HObs after 3 h on FN adsorbed
nanoflat, nanoconvex, and nanoconcave. First column shows F-actin
cytoskeleton arrangement, second one is FA plaques (vinculin), and
third one is merged image. (b) Cell spreading area measurement. (c)
Aspect ratio measurement per cell. (d) The length of F-actin per cell.
(e) F-actin cluster width per cell. (f) FA size per cell. (g) Focal
adhesion quantification per cell. 15 cells on different nanotopographies
were analyzed (n = 15). ***, p <
0.001; **, p < 0.01; *, p <
0.05; n.s., not significant.FA complexes analysis was based on vinculin-stained
confocal images;
note that dot FAs shorter than 1 μm were discarded. In cells
on nanoconvex surfaces, supermature FA (>5 μm in length)
and
FA length in the range of 3–4 μm were observed. However,
the length of FA was significantly shorter in cells on nanoconcave
(2–3 μm in length) and nanoflat (1–2 μm
in length, Figure f). However, the quantitative analysis of FA in cells on nanoconvex
and nanoconcave surfaces had no significance difference but was higher
than for FA number on nanoflat samples. Integrin activation at the
plasma membrane is followed by a force transduction and changes in
actin/biochemical regulation.[40] Considering
the integrin interacts with RGD ligands in FN, assembly, anchorage,
and integrin clustering is strongly influenced by ligand rigidity
and distribution in nanoscale. Because the nanotopographies consist
with TiO2, it is hypothesized that the rigidity of the
TiO2 layer on nanotopographies has a similar modulus. It
can thus be proposed that the adhesion-mediated interactions are regulated
by the spatial arrangement of the ECM regulated by the nanotopographical
features. Previous study has demonstrated the FA in cells was restricted
mainly to the periphery of cells growing on 108 nm RGD spacing nanopattern,
whereas cells on 58 nm patterns displayed numerous mature FAs.[41] While the separation of adhesive dots by more
than 73 nm results in the limitation of cell attachment, a ligand
range of 58–73 nm is an universal length scale for integrin
clustering and activation.[42]For
FN–TiO2 dynamic interactions, the FN spacing
and organization is influenced by the electrostatic adsorption process.
However, electrostatic adsorption is undetectable due to the in situ
situation and interference of charge when inducing a test probe. The
formation of mature FA in cells on nanoconvex surfaces indicates that
integrin clusters form with a “precisely tailored” spacing
of FN at the nanoscale which is adsorbed on the surface. Thus, the
dominant electrostatic attraction-Coulomb’s force was evaluated
by simulation methodology.
Contact and Anchorage of Cells on Nanotopographies
Analyzed by SEM
Cell cytoskeletal features and cell nanotopographies
interactions were observed that by SEM. Cells on nanoflat were spherical
and poorly spread, the nucleolus appeared thicker, but flattened in
the peripheral regions. The cell membrane was also shown limited protrusion
(Figure a). Osteoblasts’
membrane on nanoconvex was exhibited thin and fully flattened appearance,
and thus, the stress fibers in the cytoskeleton were visible (white
arrows in Figure b).
Cells on nanoconvex were formed massive of filopodia extending, protruding
filopodia was associated with the initial spreading behavior of cells
(Figure e). Filopodia
contain receptors for diverse signaling molecules and ECM molecules,
integrins, and cadherins are often found in the tips of filopodia,
and thus, the integrins accumulate in filopodia are primed to probe
the matrix, creating “sticky fingers” along the leading
edge that promotes cell adhesion.[43] Osteoblasts
on nanoconcave were seen with reduced spreading, and the nucleolus
was thicker than the membrane protrusion (Figure c). The filopodia nanotopography interactions
are shown in Figure d–i, and the filopodia on cells were fully contacted and interacted
with the nanotopographies.
Figure 5
Cell morphological features by SEM. (a) HObs
after 3 h on FN adsorbed
nanoflat. (b) Cell morphological features on nanoconvex. (c) Cell
morphological features on nanoconcave. (d) Filopodia extensions on
nanoflat. (e) Filopodia extensions on nanoconvex. (f) Filopodia extensions
on nanoconcave. (g) Filopodia features on nanoflat. (h) Filopodia
features on nanoconvex. (i) Filopodia features on nanoconcave.
Cell morphological features by SEM. (a) HObs
after 3 h on FN adsorbed
nanoflat. (b) Cell morphological features on nanoconvex. (c) Cell
morphological features on nanoconcave. (d) Filopodia extensions on
nanoflat. (e) Filopodia extensions on nanoconvex. (f) Filopodia extensions
on nanoconcave. (g) Filopodia features on nanoflat. (h) Filopodia
features on nanoconvex. (i) Filopodia features on nanoconcave.
Modeling Coulomb’s Force Evolution
on Nanoconvex and Nanoconcave Surfaces
The Coulomb’s
force is proportional to the charge of both FN and nanotopography
and inversely proportional to the square of distance between the two
charges. The actual charge of FN is complex and differs substantially
due to several factors, such as the conformation, solvent concentration,
bonding ions, pH, dielectric constant, and temperature in the molecule
scale.[44,45] In nanoscale, in order to investigate electrons
motion on nanotopographies, the structure of FN was simplified to
a point charge, and one of the hypotheses is that the charge of FN
does not change during adsorption on the surfaces. The detailed charge
of FN is estimated and illustrated in the methodology section. However,
the charge of the nanoconvex and nanoconcave surfaces is dynamic with
electron transferal due to the relative location between FN and nanotopography.
Electrons can only transfer on the surface of the material, indicating
that surface features, such as curvature, play dominant roles in dynamic
charge. Thus, a three-dimensional morphological model was established
for the topographical features of the nanoconvex and nanoconcave surfaces.
The boundary of charge density distribution is determined by experimental
results obtained by KPFM under equilibrium (non-inducement of external
charge, such as FN). Meanwhile, because both nanotopographies are
fabricated in TiO2, it was assumed that the charge density
on nanotopographies is homogeneous without the inducement of external
FN. In order to investigate the electron motion on nanotopographies,
a nano-subunit can be mathematically differential into unlimited “diminutive
areas” which can be defined as electrons on different locations
on the surface (detailed modeling procedure in Supporting Information, Figure S5). Thus, the charge density
of a nanosubunit can be described as the integral of all “diminutive
areas”.Figure a illustrates situations for the evolution of charge density
when FN adsorbs onto nanoconvex and nanoconcave surfaces from 100,
50, 20, and 5 nm distances and with a 10 nm offset. The maximum density
of charge is at the region adjacent to the tip area on the nanoconvex
surfaces and the ridge area of the nanoconcave surfaces. The maximum
charge density on both the nanoconvex and nanoconcave surfaces is
prone to be “off-center” with the increase of d. The phenomenon is described in Figure b. Coulomb’s force (FC) can be divided into horizontal (FH) and vertical (FV) directions,
respectively. The attraction between FN and the nanofeature is initiated
from the infinite large distance between the FN and nano-subunit,
the angle (defined as θ) between the line connects FN and the
subunit and the vertical line of the subunit is approximately equal
to 0. At the initial stage, the contribution of FH0 is infinitesimal compared with FV0, Coulomb’s force (FC0) is also approximately equal to the vertical (FV0) vector. It is indicated that the initial Coulomb’s
force is mainly contributed by the vertical vector. Thus, to further
reveal the evolution mechanisms, we investigated the situation of
FN vertically adsorbing on to nanosubunits of both nanoconvex and
nanoconcave surfaces.
Figure 6
Charge density evolution on nanoconvex and nanoconcave
of FN adsorption.
(a) Distribution of charge density and maximum charge areas while
FN from 100 to 5 nm with excursion of 10 nm. (b) Schematic illustration
of Coulomb’s force (FC), horizontal
(FH), and vertical (FV) vector. (c) Variation of Coulomb’s force (FC) and the distance between FN and nanoconvex/nanoconcave.
The FC of nanoconvex increased dramatically
with the FN attracted by the surface from 100 to 5 nm, and the maximum
of FC reaches to 2.85 nN at d = 5 nm.
Charge density evolution on nanoconvex and nanoconcave
of FN adsorption.
(a) Distribution of charge density and maximum charge areas while
FN from 100 to 5 nm with excursion of 10 nm. (b) Schematic illustration
of Coulomb’s force (FC), horizontal
(FH), and vertical (FV) vector. (c) Variation of Coulomb’s force (FC) and the distance between FN and nanoconvex/nanoconcave.
The FC of nanoconvex increased dramatically
with the FN attracted by the surface from 100 to 5 nm, and the maximum
of FC reaches to 2.85 nN at d = 5 nm.In the case of FN is adsorbing from along the central
line of the
subunit, it is only subject to the vertical vector, FV = FC. As shown in Figure c, the Coulomb’s
force evolution of nanoconvex and nanoconcave features exhibited obvious
differential behaviors. The FC of nanoconvex
features roughly threefold higher than that of nanoconcave when FN
attracted at a location from 100 to 50 nm toward the nano-subunit
center. Meanwhile, the high density region of charge is at the tip
region on nanoconvex features and the ridge region on nanoconcave
features. However, as the distance changes to below 20 nm, the FC of nanoconvex features significantly increases,
and the area of attraction region on tip of the feature is also decreased.
Interestingly, the main attractive region of nanoconcave features
transferred to the bottom area as the FN adsorbs. When the distance
from FN to the nanotopographical subunit is 5 nm, the FC of nanoconvex features reaches 2.85 nN, which is 30
folds greater than that of nanoconcave features (1.03 × 10–1 nN). The comparatively Coulomb’s attraction
to FN between nanoconvex and nanoconcave was further analyzed. To
achieve this, each one of subunit on nanoconvex and nanoconcave was
selected to simulate the redistribution of charge density at different
regions on the subunit.Evolution of Coulomb’s force, FC of nanoconvex and nanoconcave features has
demonstrated differential
electron migration. Due to the topographical features, electrons are
consistently transferred to the tip region (Figure a—point A) of nanoconvex features,
leading to a sharp increase of charge density. Because the electrons
are prone to concentrate at point A, the other areas on the nanoconvex
samples, such as ridge area B where electron density was significantly
decreased, resulting in a significantly different charge density on
nanoconvex features. Compared with nanoconvex surfaces, the nanoconcave
surfaces have demonstrated a complex Coulomb’s force evolution.
Electrons first migrate to the ridge region (Figure a—point B), leading to the maximum
charge density. However, when the FN is attracted to a distance of
50 nm from the nanofeature subunit, the electrons transfer toward
the bottom of the nanoconcave features (Figure a—point A). When the distance between
FN and nanoconcave features is less than 50 nm, the electrons migrate
to point A. The inconsistent migration of electrons on the nanoconcave
features exhibits a “saddle shape” of charge density
distribution (Figure a). Importantly, the comparative analysis of the charge density map
has shown that the maximum value of charge density on the nanoconvex
features is 10-folds than that seen on the nanoconcave features. The
minimum charge density of the nanoconvex features is at point B when
FN is adsorbed at point A, where the value is slightly lower than
the minimum charge density of nanoconcave features. Based on Coulomb’s
force evolution, it can be speculated that the FN has high probability
to be “captured” and constrained at point A of nanoconvex
features by the intensive electrostatic attraction. Enhanced FN adsorbed
at the top region leads to a high-density distribution in adjacent
areas. Meanwhile, other regions of the nanoconvex features can only
generate a weak attractive force because of limited deposition of
FN. Compared with Coulomb’s evolution of the nanoconvex charge
features, a more homogeneous charge density distribution is achieved
on nanoconcave features caused by inconsistent electron migration.
The FN absorbance is interfered by various transfers of electrons,
having a more random and/or uniform distribution of FN than that on
convex topographies. To demonstrate our hypothesis, the 3D view of
nanoconvex and nanoconcave features with adsorbed FN, compared to
the nanofeatures without FN in PBS, were characterized using tapping
mode AFM (Figure b).
The sectional profile of nanoconvex tip was obtained while measuring
nanoconvex features in PBS, whereas an obvious amplitude profile was
observed at the tip region in nanoconvex features incubated with FN/PBS
solution. Numerous tiny bumps were observed at the tip of features
in FN/PBS, and the edges of single subunit were clear. This indicates
that the FN was barely arranged at the edge, on nanoconvex surfaces.
In contrast, in the section views of the nanoconcave features in both
PBS and FN/PBS differences were not obvious. Topographical fluctuations
were observed on both the bottom and the ridge areas on subunits of
nanoconcave topographies. Furthermore, the 3D reconstructed topography
of nanoconcave features in PBS showed sharp edges and deep bottoms,
whereas the number of both the edges and bottoms were decreased with
FN/PBS. This indicates that the FN not only adsorbed on bottom of
subunits but was also arranged at ridges.
Figure 7
Simulation and experimental
investigation of FN–subunit
interactions. (a) Dynamic map of the charge density of regions on
a subunit of nanoconvex and nanoconcave when FN is adsorbing from
100 to 0 nm. When FN is attracted to the subunit, the charge density
on nanoconvex top (A) is greatly increased, the charge density on
ridge (B) is slightly decreased. Charge density on nanoconcave bottom
region (A) is increased in the range from 100 to 20 nm, and decreased
from 20 to 0 nm, charge density on ridge (B) is decreased from 100
to 5 nm, and slightly increased from 5 to 0 nm. (b) In situ topographical
characterization of nanoconvex and nanoconcave in PBS solution and
in FN solution. Sectional dimension has shown that the FN is mainly
adsorbed at the top region on the nanoconvex, and the FN was distributed
homogeneously on the nanoconcave. (c) Illustration of the FN adsorptive
distribution of nanoconvex and nanoconcave, the high dense distribution
(<80 nm) could increase the ligand density and form matured FA,
the low density of distribution (>80 nm) forms dot FA.
Simulation and experimental
investigation of FN–subunit
interactions. (a) Dynamic map of the charge density of regions on
a subunit of nanoconvex and nanoconcave when FN is adsorbing from
100 to 0 nm. When FN is attracted to the subunit, the charge density
on nanoconvex top (A) is greatly increased, the charge density on
ridge (B) is slightly decreased. Charge density on nanoconcave bottom
region (A) is increased in the range from 100 to 20 nm, and decreased
from 20 to 0 nm, charge density on ridge (B) is decreased from 100
to 5 nm, and slightly increased from 5 to 0 nm. (b) In situ topographical
characterization of nanoconvex and nanoconcave in PBS solution and
in FN solution. Sectional dimension has shown that the FN is mainly
adsorbed at the top region on the nanoconvex, and the FN was distributed
homogeneously on the nanoconcave. (c) Illustration of the FN adsorptive
distribution of nanoconvex and nanoconcave, the high dense distribution
(<80 nm) could increase the ligand density and form matured FA,
the low density of distribution (>80 nm) forms dot FA.
Conformation of FN Adsorbed on TiO2 Nanotopographies
The morphological conformation of FN adsorption
is the first challenge for further identification of the distribution
of FN on nanoconvex and nanoconcave. In terms of identifying FN conformation
on TiO2, the morphology comparative analysis of nanoflat
in PBS and in FN was carried out. As shown in Figure , the morphological difference between nanoflat
in PBS and in FN was the presence of FN, which featured with “globular
particles” distributed on nanoflat in FN. Three FN particles
were selected and sectional analyzed (Figure A–C). The FN molecules were featured
in a round shape, 20 nm in diameter and 6–7 nm in height and
with “compact” conformation. These dimensional features
could be the morphological reference of FN adsorption on nanoconvex
and nanoconcave.
Figure 8
Morphological comparison analysis of nanoflat in PBS/FN
and the
conformation of FN adsorbed on nanoflat. (a) Topological characterization
of nanoflat in PBS. (b) Topological characterization of nanoflat with
adsorbed FN, the FN on nanoflat exhibited compact conformation. 1,
2, and 3 are the sectional tracks of morphological comparison between
nanoflat in PBS/FN.
Morphological comparison analysis of nanoflat in PBS/FN
and the
conformation of FN adsorbed on nanoflat. (a) Topological characterization
of nanoflat in PBS. (b) Topological characterization of nanoflat with
adsorbed FN, the FN on nanoflat exhibited compact conformation. 1,
2, and 3 are the sectional tracks of morphological comparison between
nanoflat in PBS/FN.The detailed morphological analysis of nanoconvex
and nanoconcave
is shown in Figure . The morphological features of “smooth tip” was observed
on nanoconvex in PBS, see Figure a. In comparison, the tip on nanoconvex in FN has shown
a “rough tip”, from the top view, and the tip region
has a clustering of nanoparticle feature (Figure a, white arrows). The diameter of the region
of “rough tip” was 32.88 nm in average (see Supporting Information, Figure S1). Meanwhile,
the other region on nanoconvex in FN contains similarity features
compared with in PBS. Figure b illustrates the morphological comparison of nanoconcave
in both PBS and FN, containing the identical features, from the top
and sectional view.
Figure 9
Morphological analysis of FN adsorption on nanoconvex
and nanoconcave
surfaces. (a) AFM imaging of FN on nanoconvex in PBS and FN, nanoconvex
tip is smooth in PBS and rough in FN. (b) AFM imaging of FN on nanoconcave
in PBS and FN, the morphology of different regions on concave have
shown identical features.
Morphological analysis of FN adsorption on nanoconvex
and nanoconcave
surfaces. (a) AFM imaging of FN on nanoconvex in PBS and FN, nanoconvex
tip is smooth in PBS and rough in FN. (b) AFM imaging of FN on nanoconcave
in PBS and FN, the morphology of different regions on concave have
shown identical features.
Discussion
In this study, we reveal
the evolution of Coulomb’s force
produced by FN–nanoflat, nanoconvex, and nanoconcave topographies,
further instruct cell adhesion and spreading due to influence ligand
spacing. A large spreading area and spindle-like cellular morphology
was observed in cells on nanoconvex features. Meanwhile, mature FA
and organized cytoskeleton large fibers were also found in cells on
the convex topography. Our model has demonstrated that a high-density
arrangement of FN is achieved at the tip area on subunits of nanoconvex
features, as electrons are prone to migrate to tip regions generating
an intense and consistent attraction to proteins.High-density
adsorbed FN interacts with numerous integrin ligands,
which cluster and further activate the formation of large FA. The
model also pointed out the homogeneous and/or random distribution
of FN on nanoconcave features where a comparative low-density of FN
was projected to be arranged on the subunits. As aforementioned, previous
studies have demonstrated that the critical ligand separation length
is 73 nm.[42] An optimal ligand spacing of
60 nm has also been ascribed to the 60 nm dimensional features of
talin, which is one of the cytoplasmic proteins acting as a crosslinker
during integrin aggregation.[46,47] The diameter of a nanoconvex
subunit is 80 nm, and from the statistically morphological analysis,
the FN concentrated region is <40 nm (Figure S1). It can be speculated that single or multiple FN are adsorbed
at the tip which generates anchor points and further binds with integrin
ligands. Numerous nanoconvex subunits can generate a high dense clustering
of FN arrangement which thus bind with a high density of integrins.
Moreover, integrins aggregate and might further “activate”
talin and trigger FA gathering and cytoskeleton formation/contraction.
Due to the identical charge of FN, electrostatic repulsive force between
FN–FN generates a minimum ligand spacing. The minimum ligand
spacing may also be affected by the distance between integrins in
the cell membrane which is around 8–12 nm.[48] Thus, the ligand distribution on nanoconvex features is
illustrated in Figure c. In contrast, a more homogeneous and random distribution of FN
creates a low-density of anchor points to bind with integrin ligands
which impairs the downstream molecule conjugation. Thus, a less conjugated
cytoskeleton in cells on nanoconcave was obtained. The weak cellular
adhesion on nanoflat can be speculated due to the nanoscale of the
planar surface, and the electrons are distributed homogeneous, leading
to a weak “capture” of FN. The low-density distribution
of FN resulted a lacking anchoring of integrins and thus generated
minimum both quantitative and qualitative FA in cells.
Conclusions
This work inspires the
designing of an Ti-based implant with nanotopographies
to instruct cellular behaviors through revealing unknown mechanisms
of Coulombs’ force evolution. With the fabrication of nanoconvex
and nanoconcave surfaces, both featured with identical curvature on
nano-subunits, a model of investigating Coulombs’ force evolution
between FN and nanotopographies was established. The “convex”
nanotopographical features can generate a constant and more intense
attractive force (around 30 folds higher than nanoconcave) to biomolecules,
whereas the “concave” surface generates a mild and mutative
attraction. Through the differential of Coulomb’s force evolution,
the differential FN distribution was achieved, thus obtaining differential
cell adhesion and spreading behaviors. This approach can be generalized
to guide the strategy of generating nanotopography in a customized
shape to affect cell behavior and also be used to develop new nanotopography
surfaces in orthopaedic implantations.
Authors: Marco Arnold; Elisabetta Ada Cavalcanti-Adam; Roman Glass; Jacques Blümmel; Wolfgang Eck; Martin Kantlehner; Horst Kessler; Joachim P Spatz Journal: Chemphyschem Date: 2004-03-19 Impact factor: 3.102
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