Abstract
Objectives
To investigate behaviour and osteogenic cytokine expression of RAW264.7 macrophages grown on TiO2 nanotube layers.
Materials and methods
The murine macrophage cell line RAW 264.7 was cultured on TiO2 nanotubes of varying diameter; macrophage morphology was examined using scanning electron microscopy. Cell adhesion and viability were assessed with the aid of the MTT method and BMP‐2 and TGF‐β gene expression were examined by RT‐PCR analysis. Levels of BMP‐2, TGF‐β1 and ICAM‐1 proteins secreted into the supernatant were measured by ELISA assay.
Results
Macrophages cultured on nanotube layers had spread out morphology, the largest (120 nm) nanotube layer eliciting an elongation by 24 h. Macrophages adhered significantly less to 120 nm TiO2 nanotubes than to control discs at 4 h after application; after 24 h incubation, macrophages were sufficiently viable (P < 0.05) on 30 and 70 nm nanotube layers. Increasing nanotube diameter led to increased BMP‐2 protein secretion and increased BMP‐2 mRNA expression.
Conclusion
These results demonstrate that nanoscale topography of TiO2 nanotube layers can affect macrophage morphology, adhesion, viability and BMP‐2 expression. Macrophages grown on layers of large nanotubes had the highest potential to enhance bone formation during bone healing.
Introduction
Titanium (Ti) and its alloys are often used as implant materials in orthopaedic and dental surgery as they have appropriate mechanical properties and are biocompatible with bone 1. Success of endosseous implants is related to achievement of osseointegration between surrounding bone and the implanted materials 2. Osseointegration can be enhanced by modifying properties of the implanted material's surface (such as topography and chemistry) 3. Recently, many reports have demonstrated that nanometer‐scale surface features of Ti implants improve osteoblast adhesion and function in vitro and osseointegration in vivo 4, 5, 6.
Due to their potentially excellent bioactivity, ordered and controlled titanium oxide (TiO2) nanotubes have received significant attention. Presence of TiO2 nanotubes on the surface of Ti increases apatite formation 7. It has been demonstrated that TiO2 nanotube layers provide a favourable template for bone cell (osteoblast or mesenchymal stem cell) growth and differentiation 5, 8, 9. When compared to bone cells grown on uncoated Ti or with Ti anodized nanoparticles, cells cultured on TiO2 nanotube layers have higher adhesion, proliferation, alkaline phosphatase (ALP) activity and bone matrix deposition in vitro 9. Furthermore, it also has been demonstrated that presence of TiO2 nanotube layers on Ti surfaces improves bone formation and enhances strongly adherent bone growth in vivo 6, 10, 11. Some reports indicate that adhesion, spreading, proliferation and differentiation of bone cells are critically dependent on tube dimensions 12, 13, 14, 15. In a previous report from our laboratory, we showed that TiO2 nanotubes measuring 20–70 nm effectively promoted MC3T3‐E1 preosteoblast adhesion, and 70 nm TiO2 nanotubes promoted cell ALP activity (1–3 weeks) and mineralization; additionally, we found that nanotubes measuring 100–120 nm did not bring forth these effects 12. Brammer et al. reported that 30 nm TiO2 nanotubes promoted highest levels of MC3T3‐E1 osteoblast adhesion, while those measuring 70–100 nm elicited a lower population of cells with elongated morphology and higher ALP activity (48 h) 13. According to work of Chamberlain et al., 70 nm diameter nanotube surfaces had highest advantages in terms of diameter (30, 50 and 100 nm) by producing weakest inflammatory responses 16. These results all indicate that dimensions of TiO2 nanotubes play an important role in developing cell behaviour.
Macrophages also play a critical role in determining biological responses at endosseous implant surfaces 17, 18. In addition to osseointegration, initial stabilization of endosseous implants (which most likely depend on characteristics of early wound healing), is also important for successful restoration. Macrophages, including monocyte‐derived macrophages and resident tissue macrophages, play an important part in wound healing 19. At the time of implantation, monocytes can migrate into fibrin blood clots of implants 20. Such monocytes rapidly acquire certain macrophage phenotypic traits and give rise to resident macrophages' on arrival at the wound. Macrophages contribute additional growth factors, chemokines and cytokines to modulate the healing process in the niche 17. Among these molecules, the transforming growth factor beta (TGF‐β) family receives much attention as these factors are essential for repair. Lucas et al. confirmed reduction in TGF‐β1 protein in macrophage‐depleted animals and correlated this reduction with inability either to generate granulation tissue or to form a normal scar 19. Bone morphogenetic proteins (BMPs), which are members of the TGF‐β superfamily, play a central role in induction of osteogenic cells from pluripotent mesenchymal stem cells 21, and BMP‐2, ‐4, ‐6 and ‐7 are all expressed in wound tissues 22. It has been suggested that macrophages can adhere to endosseous implants and act as an important source of osteoinductive cytokines 23, 24. Recently, Takebe and coworkers demonstrated that macrophages express BMP‐2 mRNA and TGF‐β1 mRNA 23. They also reported that properties of implants, such as their topography and chemistry, influence BMP‐2 mRNA expression of macrophages in vitro 24. For implants with rough surfaces, enhanced macrophage accumulation is associated with more rapid bone‐like tissue production 25. All these investigations suggest that macrophages play an essential role during osseous wound healing, at the implant surface, and might even contribute surface‐dependent osteoinductive signals. At present, few studies of macrophages cultured on nanotube layers exist, and the macrophage osteoinductive phenotype, and its potential modulation by TiO2 nanotube layers, has remained unknown.
Here, to investigate behaviour and osteogenic cytokine expression of RAW264.7 macrophages grown on TiO2 nanotube layers, morphology, adhesion, proliferation and BMP‐2 and TGF‐β1 expression of RAW264.7 macrophages cultured on TiO2 nanotubes with varying diameters, were evaluated in vitro.
Materials and methods
Sample preparation
Ti thin foils, 0.25 mm thick, 99.5% pure (Alfa Aesar, Ward Hill, MA, USA) were used to prepare the samples. Prior to anodization, Ti substrates were immersed in a mixture of 2 ml 48% HF, 3 ml 70% HNO3 (both reagent grade chemicals) and 100 ml deionized water for 5 min, to remove the oxide layer that naturally forms on Ti materials. Next, substrates were rinsed in deionized water and dried under a nitrogen stream. TiO2 nanotubes were fabricated by anodization with a potentiostat in 0.5 wt.% HF solution at 5, 15 and 25 V for 3 h; platinum was used as the counter electrode. After anodization, samples were rinsed in deionized water and dried under a nitrogen stream. To crystallize the as‐deposited amorphous‐structured TiO2 nanotubes, nanotubes were then sintered at 500 °C for 2 h; then, nanotube layers were characterized as in our previously reported work 12, 26. Diameters of nanotube layers were approximately 30, 70 and 120 nm under 5, 15 and 25 V, respectively (Fig. 1). Ti foils were polished using SiC emery paper (No. 1200 grit size) for use as control samples (denoted ‘ctrl’). Prior to culture seeding, each experimental disc (1 × 1 cm2) was sterilized in a steam autoclave at 120 °C for 30 min.
Figure 1.

Scanning electron microscopy micrographs (top view) of TiO 2 nanotube layers with different diameters. The images show highly ordered nanotubes with 3 different nanotube diameters, including 30, 70 and 120 nm, fabricated by controlling anodizing potential in the range from 5, 15 and 25 V.
Cell culture
Mouse macrophage cell line RAW 264.7 (ATCC No. TIB 71) was obtained from the Chinese Academy of Science Cell Bank (Shanghai, China). Cells were cultured at 1.5 × 105 cells/cm2 in Dulbecco's modified Eagle's medium supplemented with 10% foetal bovine serum (Gibco‐BRL, Grand Island, NY, USA) and 1% penicillin ⁄ streptomycin, in a humidified incubator (37 °C; 5% CO2); they were passaged every third day. The cells were then seeded on to discs in 24‐well polystyrene culture plates (Falcon, Becton Dickinson, NJ, USA) at 1.5 × 105 cells/cm2. For scanning electron microscopy (SEM), cells were seeded on to discs at 1.5 × 104 cells/cm2.
Cell morphology
RAW264.7 cell morphology on each disc type was examined using SEM. Cells that had been incubated on discs for 4 and 24 h were rinsed twice in phosphate‐buffered saline (PBS) and soaked in 2.5% glutaradehyde in 0.1 m PBS for 1 h at 4 °C. After fixation, they were rinsed three times in PBS for 10 min each. Samples were dehydrated in a graded series of alcohols (35, 50, 75, 90 and 100%) for 10 min each and subsequently were dried by supercritical point CO2. SEM imaging was conducted on a field emission scanning electron microscope after sample surfaces were sputter coated in gold. Four images of separate random regions (×500) were taken, per disc. Cell area and cell elongation were used to assess differences in cell morphology observed by SEM results for 4 and 24 h culture. Each cell of interest was outlined by a single examiner, and its area was calculated using Image‐Pros Plus 6.0 (Media Cybernetics, Silver Spring, MD, USA). Cell elongation, as indicated by ratio of long axis to short axis, was also measured by the analysis software 13, 27.
Cell viability
Cell viability was assessed using the tetrazolium salt MTT method. RAW 264.7 macrophages were seeded on to discs and incubated for 4, 24, 48 and 72 h. Discs were transferred to new 24‐well plates at defined time points, and culture medium was changed to 0.5 mg/ml MTT (Sigma Aldrich, St. Louis, MO, USA), under normal culture conditions for 4 h. Subsequently, medium was removed, and 200 μl DMSO was added to each well. Plates were shaken for 10 min and solutions were transferred to 96‐multiwell plates; absorbance of each solution was measured at 490 nm using a spectrophotometer (Elx 800; BioTek, Winooski, VT, USA).
Cell adhesion
Cells cultured on samples for 4 and 24 h were washed in PBS then stained using the Viability/Cytotoxicity Assay Kit for Animal Live & Dead Cells (Biotium Inc, Hayward, CA, USA). In this assay, calcein AM stains live cells green, while EthD‐III stains dead cells red. After 30 min incubation at room temperature, cells were observed by fluorescence microscopy (BX‐60; Olympus, Hamburg, Germany). Five fields of view were imaged at random, and cells on each image were counted using Image‐Pro Plus software (ver. 5.0).
RNA extraction and real‐time quantitative RT‐PCR analysis
After 24 and 72 h, discs were transferred to new 24‐well plates. Total cell RNA extraction was performed using TRIzol Plus RNA purification kit (Invitrogen, Carlsbad, CA, USA) according to the recommended protocol. Quantity and quality of RNA obtained were analysed on a NanoDrop 1000 spectrophotometer (Thermo Scientific, San Jose, CA, USA) according to the manufacturer's instructions. Extracted RNA was subsequently reverse‐transcribed to cDNA using a PrimeScript™_RT reagent kit (Takara Bio, Shiga, Japan). Gene‐specific primers for BMP‐2, TGF‐β1 and calibrator reference gene, β‐actin were synthesized commercially (Shengong, Co. Ltd. Shanghai, China); specific primer sets are outlined in Table 1. All RT‐qPCR reactions were performed using a MyiQ Single‐Color real‐time PCR Detection System (Bio‐Rad Laboratories, Richmond, CA, USA). For quantitative PCR, 10 μl SYBR Premix Ex Taq™, 0.4 μl each forward and reverse primer and 1 μl cDNA template were used in a final reaction volume of 20 μl. Cycling conditions included an initial denaturation step of 180 s at 95 °C followed by 40 cycles of 10 s at 95 °C, 30 s at 60 °C, 30 s at 72 °C. Data collection was enabled at 72 °C in each cycle, and C T (threshold cycle) values were calculated using iQ5 software (Bio‐Rad Laboratories). Level of expression was normalized to β‐actin. The analysis was based on calculating relative expression level of these genes compared to expression of controls at 24 h.
Table 1.
Nucleotide sequences for real‐time RT‐PCR primers
| Gene | Primer sequence (forward/reverse) | Product size (bp) | Annealing temperature (°C) |
|---|---|---|---|
| β‐actin |
5′‐GTGACGTTGACATCCGTAAAGA‐3′ 5′‐GCCGGACTCATCGTACTCC‐3′ |
245 | 60 |
| BMP‐2 |
5′‐TCTTCCGGGAACAGATACAGG‐3′ 5′‐TCTCCTCTAAATGGGCCACTT‐3′ |
249 | 60 |
| TGF‐β1 |
5′‐GCTCCCCTATTTAAGAACACCCAC‐3′ 5′‐CTCCCAAGGAAAGGTAGGTGATAG‐3′ |
168 | 60 |
BMP‐2, TGF‐β1 and ICAM‐1 protein secretion in RAW264.7 cell culture supernatants
BMP‐2, TGF‐β1 and ICAM‐1 in the supernatant were evaluated using BMP‐2, TGF‐β1 and ICAM‐1 Quantikine Enzyme‐linked Immunosorbent Assay (ELISA) kits (R&D Systems, Minneapolis, MN, USA). Assays were performed precisely according to the manufacturer's instructions. After cells had been cultured on discs for 24 and 72 h (for measurements of ICAM‐1, cells were cultured on disks for 4 and 24 h), culture supernatants were collected and centrifuged to remove particles, if any, and were then stored at −80 °C until use. For measurements of TGF‐β1, ELISA was also performed as described previously 28. Cells were cultured in regular growth medium and allowed to attach for 4 h. Then, regular growth medium was replaced with serum‐free medium 24 h before defined time points. Additionally, latent TGF‐β1 was activated to immunoreactive TGF‐β1 by acidification with 1 N HCl, for 10 min at room temperature. Samples were neutralized with 1.2 N NaOH/0.5 m 4‐(2‐hydroxyethyl)‐1‐piperazine ethanesulphonic acid (HEPES).
Statistical analysis
Data are expressed as mean ± standard deviation (SD). Statistical analysis was performed using one‐way analysis of variance followed by Bonferroni multiple comparison to determine significance. Every experiment was repeated at least three times with separate cell preparations. Statistical analysis was performed using SPSS 11.0 software (SPSS, Chicago, IL, USA). Values of P < 0.05 were considered statistically significant.
Results
Cell morphology
Cell morphology on different diameter TiO2 nanotube layers was examined using SEM. The images show that shapes of macrophages grown on control discs, and on the TiO2 nanotube discs, were significantly different at every time point. At 4 h, RAW264.7 macrophages cultured on TiO2 nanotube discs had elongated morphology, whereas those grown on control discs were nearly spherical with numerous microvilli or small protrusions visible on their surfaces (Fig. 2). Most cells adhered to nanotube layers had elongated bodies with numerous microvilli holding fast to the discs. These cell shape changes were reflected in larger elongation values observed for nanotube groups compared to control (ctrl) groups, as seen in the morphometric analysis (Table 2). This also shows that control groups had higher cell area value than nanotube groups, although the only significant difference recorded was between the control group and the 120 nm nanotube group.
Figure 2.

Low‐ and high‐magnification scanning electron microscopy images of adherent RAW264.7 macrophages on control (ctrl), 30, 70 and 120 nm nanotube discs after 4 and 24 h. At 4 h, most cells adherent to nanotube layers displayed elongated bodies with numerous microvilli binding to the discs. At 24 h, cells on the 30 and 70 nm nanotube layers were flat and extensively adherent to disc surfaces, while cells adherent to 120 nm nanotube layers displayed elongated bodies and were characterized by unidirectional lamellipodial extensions. The control group had a significantly lower cell area value than the nanotube groups.
Table 2.
Cell area and elongation measurements

After 24 h of culture, macrophages grown on nanotube discs had spread morphologies, with the largest diameter (120 nm) nanotube layer of elongated morphology (Fig. 2). Cells on control discs were rimmed by thin lamellae, or else were typically observed to be spherical and apparently stationary with no cell protrusions. Most cells on 30 and 70 nm nanotube layers were flat and extensively adherent to disc surfaces, while cells adhered to the 120 nm nanotube layer had elongated bodies and were characterized by unidirectional lamellipodial extensions. The control group had significantly lower cell area value than nanotube groups. In comparison, elongation value reached a maximum of 1.76705 for cells on 120 nm nanotube layers.
Cell viability
Results shown in Fig. 3 reveal that cell viability was affected by TiO2 nanotube layers. In comparison to control discs, cell population numbers of TiO2 nanotube groups fell with increasing nanotube diameter. However, the only significant difference observed in cell populations was identified between the control group and 120 nm group. With longer culture time, higher cell populations were observed for TiO2 nanotube groups, specially for small nanotubes (diameter <100 nm). Cell populations of 30 and 70 nm nanotube groups were statistically higher than control groups after 48 h (P < 0.05). However, after 72 h, there was no significant difference in cell population sizes between groups.
Figure 3.

Cell populations on each disc type were assessed by MTT. Macrophages were seeded on discs for 4, 24, 48 and 72 h. Cell populations of the 30 and 70 nm nanotube groups were statistically greater than the control group after 48 h. After 72 h, there was no significant difference in cell population among all groups. Values are presented as the mean ± SD, n = 3. Statistically significant differences are indicated (*for P < 0.05).
Cell adhesion
As shown in Fig. 4, compared to control discs, cells adhered to 120 nm group TiO2 nanotube layers were less than those of control groups at the earlier time point of 4 h (P < 0.05). However, after 24 h, cells on 30 and 70 nm nanotube layers were statistically higher than the control and 120 nm groups (P < 0.05).
Figure 4.

Cell counting of live/dead staining for MC3T3‐E1 cells on control, 30, 70 and 120 nm nanotube discs after 4 and 24 h. Cells adherent to the 120 nm group TiO2 nanotube layers were lower than those of the control groups at the earlier time point of 4 h. After 24 h, cells on 30 and 70 nm nanotube layers were statistically higher than the control and 120 nm groups. Values are presented as the mean ± SD, n = 5. Statistically significant differences are indicated (*for P < 0.05).
BMP‐2 and TGF‐β1 mRNA levels in RAW264.7 macrophages
BMP‐2 and TGF‐β1 mRNA levels of macrophages grown on different discs are shown in Fig. 5. TiO2 nanotube layer types significantly affected BMP‐2 mRNA of adherent RAW264.7 macrophages (Fig. 5a). No difference was observed in BMP‐2 mRNA expression among the four groups after 24 h; however, after 72 h, BMP‐2 mRNA levels of TiO2 nanotube groups were significantly higher than those of control groups (P < 0.05). Additionally, BMP‐2 mRNA level increased with increase in nanotube diameter. In contrast to BMP‐2, TGF‐β1 mRNA levels did not show significant effects related to surface topography at either 24 or 72 h (Fig. 5b). TGF‐β1 mRNA level of control groups was higher than TiO2 nanotube groups after 24 h in culture. However, at 72 h, the only significant difference was found between 30 and 120 nm nanotube groups (P < 0.05).
Figure 5.

Evaluation of the BMP‐2 and TGF‐β1 mRNA levels in macrophages grown on control, 30, 70 and 120 nm nanotube discs for 24 and 72 h. (a) BMP‐2 mRNA expression; (b) TGF‐β1 mRNA expression. After 72 h, the BMP‐2 mRNA levels of TiO2 nanotube groups were significantly higher than the control group. TGF‐β1 mRNA level, at 72 h, only significant difference was found between 30 and 120 nm nanotube group. Data are presented as the mean ± SD (n = 3). Statistically significant differences are indicated (*for P < 0.05).
BMP‐2, TGF‐β1 and ICAM‐1 secretion from RAW264.7 macrophages
BMP‐2, TGF‐β1 and ICAM‐1 secretions from RAW264.7 cells grown on different discs are shown in Fig. 6. After 24 h culture, BMP‐2 secretions of TiO2 nanotube groups were higher than those of control groups, but there were no statistical differences (P > 0.05). By 72 h, BMP‐2 secretions increased with increase in nanotube diameter. When cells were grown on 120 nm nanotube discs, BMP‐2 secretion level was significantly higher (376.17 ± 47.26 pg/ml) than that of the other groups (P < 0.05), but for the first 24 h, TGF‐β1 in the supernatant was almost indetectable. After 72 h culture, TGF‐β1 secretion of controls was significantly higher than that of 30 nm nanotube groups (P < 0.05). With respect to ICAM‐1, at 4 h, only cells on 120 nm nanotube discs were lower than control groups (P < 0.05). After 24 h, 30 and 70 nm nanotube groups were significantly higher than control groups (P < 0.05).
Figure 6.

BMP‐2 and TGF‐β1 secretions from RAW264.7 cells grown on control, 30, 70 and 120 nm nanotube discs for 24 and 72 h. (a) Concentration of BMP‐2; (b) Concentration of TGF‐β1; (c) Concentration of ICAM‐1. At 72 h, BMP‐2 secretions increased with nanotube diameter. When cells were grown on 120 nm nanotube discs, BMP‐2 secretion level was significantly higher than that of the other groups. After 72 h in culture, TGF‐β1 secretion of the control was significantly higher than that of 30 nm nanotube groups. With respect to ICAM‐1, after 24 h, the 30 and 70 nm nanotube groups were significantly higher than the control group. Data are presented as the mean ± SD (n = 3). Statistically significant differences are indicated (*for P < 0.05).
Discussion
Macrophages play an essential role during osseous wound healing and might contribute surface‐dependent osteoinductive signals. Hence, this work was carried out to investigate behaviour and osteogenic cytokine expression of RAW264.7 macrophages grown on TiO2 nanotube layers. Results here show that macrophage morphology, adhesion, viability and BMP‐2 expression were affected by topography of the TiO2 nanotube layers. Those grown on large‐diameter nanotube layers had the greatest potential to enhance bone formation during initial stages of bone healing.
Macrophage morphology on endosseous implant surfaces is affected by surface topography 24, 29, 30. In the present study, changes in shape of macrophages grown on nanotubes were found to be similar to changes exhibited by osteoblasts in similar conditions 13, 15. Brammer et al. have found that large and thorough distribution of protein nanoparticles easily cover whole surfaces of 30 nm nanotubes, while proteins on 100 nm TiO2 nanotubes only adhere sparsely at the top wall surface, due to presence of large empty nanotube pore spaces 13. Cells adherent to large nanotube layers have to expand their filopodia to find a protein‐deposited surface, in the process forming exceedingly elongated shapes. Hence, after 24 h, macrophages adherent to large TiO2 nanotube layers displayed elongated bodies. It was also found that cells adherent to small‐diameter TiO2 nanotube layers (30 and 70 nm) were flat and extensively bound to discs. This spreading morphology might be related to different formations of focal adhesions. Using atomic force microscopy and X‐ray spectrometry 31, our previous study reported that nanoscale roughness of anatase type nanotube layers increased with increasing tube diameter, which usually means a larger surface area; however, adhesion of cells cultured on nanotube layers was inconsistent with nanomaterial characteristics. Moreover, it has been reported elsewhere that more protein tends to be deposited on surfaces of smaller diameter Ti nanotube layers, which may be a further reason that more cells adhered to these nanotubes, in our study 31.
Our investigation has demonstrated the ability of 120 nm TiO2 nanotubes to discourage macrophage adhesion after 4 h culture. Previous studies have reported the influence of surface roughness on macrophage adhesion 32, 33, 34. Kim et al. reported that due to high degrees of nanometer‐scale surface roughness, carbon nanotubes increase osteoblast and reduce macrophage adhesion 35. Khang et al. found that macrophage adhesion on conventional alumina (40 nm surface roughness) was significantly greater than on submicron alumina (50 nm surface roughness) and nanophase alumina (80 nm surface roughness) after 4 h 32. The summation of these results demonstrates that macrophage adhesion decreases with increasing surface roughness. Our group found that control discs exhibited lowest surface nanoroughness in comparison to the others, and that surface nanoroughness increased with diameter of the nanotube layers 12. Hence, differences in nanoroughness may cause reduction in macrophage adhesion to nanotubes with large diameters. In the present study, cells adherent to nanotubes of small diameter (30 and 70 nm) had significantly higher viabilities than those grown on control discs and large‐diameter nanotubes after 24 and 48 h. Data presented here, using macrophages, are consistent with reports showing similar viability to osteoblasts and mesenchymal stem cells 12, 14. Park et al. have reported that cells cultured on 100 nm TiO2 nanotubes finally underwent anoikis, the adhesion‐dependent form of cell death. They also reported that cells grown on 30 nm and smaller diameter TiO2 nanotubes showed extensive formation of focal adhesions, while cells grown on 100 nm nanotubes formed only few focal adhesions 14. As macrophages are adhesion‐dependent cells, those grown on large‐diameter nanotubes may be driven to undergo cell death due to lack of focal adhesions. Gongadze et al. studied mechanisms of osteoblast adhesion to TiO2 nanotubes and nanorough Ti surfaces, using a dynamic model 36, 37. They found that strong attraction exists between cell membranes and small‐diameter nanotube surfaces. They suggested that, compared to large‐diameter nanotube surfaces, small‐diameter nanotube surfaces on average have more sharp edges per unit area, with higher surface charge density, allowing integrin molecules to bind easily to neighbouring nanotubes on small‐diameter nanotube surfaces. With respect to larger‐diameter nanotube surfaces, integrin binding is more difficult, as these nanotubes have larger hollow interior spaces. This phenomenon could contribute to increased cell adhesion strength to lower diameter nanotube surfaces.
In addition to macrophage behaviour, expressions of BMP‐2 and TGF‐β1 in the macrophages adherent to varying diameter TiO2 nanotube layers, were also evaluated. It has been reported that macrophage cytokine secretion can be affected by surface topography alone (micron‐ to submicron‐scale), without modification of surface chemistry 24, 29. Cooper and colleagues investigated osteogenic cytokine expression of macrophages grown on submicron‐scale topography surfaces of Ti. These discs have different surface roughness characteristics, for example discs polished to 600‐grit roughness (0.6 μm surface roughness) and discs finished by grit‐blasting with 50‐μm Al2O3 particles (1.2 μm surface roughness) 24. These authors confirmed that submicron‐scale surface topography of Ti implants modulated BMP‐2 expression in macrophages 24, 30. Experts also have reported that surface topography can modulate activation of the NFκB pathway in macrophages through lipid rafts 34. In the present study, discs with nanotube layers measuring 30, 70 and 120 nm were used. Based on our previous study, surface roughness of these nanotube layers can be expressed in nanometers, and surface nanoroughness of substrates increased with dimensions of TiO2 nanotube layers 12. Our group originally found that nanoscale surface topography can influence BMP‐2 expression in macrophages. After 72 h, expression of BMP‐2 mRNA and secretion of BMP‐2 in macrophages grown on TiO2 nanotubes, increased proportionally with increasing size of TiO2 nanotube pores. Promotion of this expression might be related to surface topography or roughness 34, 38; however, more experiments must be performed to identify the mechanisms involved. In contrast to BMP‐2, TGF‐β1 expression was not significantly affected by surface topography. This result is consistent with studies of Takebe et al. 24. Surface microtopography has been suggested to positively influence blood clot formation, blood clot retention and bone formation, in peri‐implant bone healing 30, 39. It has been confirmed that TiO2 nanotube implants increase osseointegration strengths, new bone formation and bone‐implant contact after 4–6 weeks, in rabbit tibia 10, 11.
According to our results, larger‐diameter nanotube surfaces had effects on both enhancing and adhesion reduction. Marchisio et al. performed an analysis on response of RAW 246.7 cells to different Ti surfaces and found that cells cultured on rougher surfaces had higher ability to differentiate, in addition to lower adhesion ability 40. These authors believed that surfaces with more peaks and valleys could account for organization of cell clusters, which in turn, might explain high levels of differentiation observed on such surfaces. However, a smoother surface can enhance cell orientation and adhesion. Kim et al. studied TNF‐α and LPS‐activated RAW 264.7 cells. They found that AMPK inhibitor compound C, could inhibit ICAM‐1 and VCAM‐1 expression in addition to inhibiting phosphorylation of PI3K and p38 MAP kinase 41. This may be one of the mechanisms of bone formation enhancing and adhesion reducing effects of large‐diameter nanotube surfaces. TiO2 nanotube layers on implant surfaces may not only affect osteoblasts but also might influence macrophages with respect to enhancing bone formation in peri‐implant bone healing.
In conclusion, here we have demonstrated that macrophage morphology, adhesion, viability and BMP‐2 expression were affected by TiO2 nanotube layers. After 24 h incubation, RAW 264.7 macrophages presented sufficient adhesion and viability on 30 and 70 nm nanotube layers, but not on 120 nm nanotube layer. Macrophages cultured on nanotube discs had spread out morphology, while 120 nm nanotube layers were elongated in shape. A trend was revealed in which increasing nanotube diameters led to increased BMP‐2 protein secretion, together with increased BMP‐2 mRNA expression. Based on all these results, macrophages grown on large‐diameter nanotube layers had the greatest potential to enhance bone formation during initial stages of bone healing.
Acknowledgements
This work was supported by grants from the Shanghai Leading Academic Discipline Project (No. S30206, T0202), the Science and Technology Committee of Shanghai (No. 08DZ2271100, 1052 nm 04300 and 10JC1408600) and National Natural Science Foundation of China (81070866). The authors thank Xiuli Zhang (Oral Bioengineering Lab, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine) for her helpful assistance with the experiments.
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