Research Article Volume 8 Issue 2
1Department of Dental, Taipei Medical University Hospital, Taiwan
2Department of Periodontology, Taipei Medical University, Taiwan
3Department of Biochemistry, Taipei Medical University, Taiwan
Correspondence: Hsein-Kun Lu, Department of Periodontology, College of Oral Medicine, Taipei Medical University, 250 Wu-Hsin Street, Taipei, Taiwan
Received: August 31, 2017 | Published: September 20, 2017
Citation: Lu SL, Su PY, Li CL, et al. Regulation of pre-osteoblast osteogenic transcription factors by different titanium surface topography. J Dent Health Oral Disord Ther. 2017;8(2):482-486. DOI: 10.15406/jdhodt.2017.08.00278
The aim of the present study is to verify the morphogenic change and expression of Runx-2, Osterix, and osteocalcin (OCN) of pre-osteoblasts on the titanium surfaces with machine polished process and MAO. The results indicate that the roughness, instead of the variant of methodology for metal surface conditioning, determines the response of MC3T3-E1 cells and the gene expression of Runx-2, Osterix, and OCN. The highest expression of Runx-2 and Osterix in smooth surface group happened late after 72 hours of incubation implied that the pre-osteoblasts showed a delay response of preosteogenesis on shining titanium surface compared to that of MAO group. The 1μm group showed the utmost expression of OCN as compared to those of smooth surface group and the two others groups. It can be concluded that roughness of 1μm may be the more preferred surface architecture for pre-osteoblasts to evolute and differentiate into osteoblasts, hence accelerate the process of osteogenesis.
Keywords: microarch oxidation, runx-2, osterix, osteocalcin, surface architecture
Recent topic of discussion on dental implants revolves around differences in titanium surface topography. According to previous studies, different chemical or mechanical processing of titanium surface would elicit diverse cell or tissue reactions. Processes such as sandblasting, acid etching, or the even newer titanium oxide surface, render to excite more osteoblasts than the previous machined surface or plasma spray technique. Of all the parameters of surface processing, roughness and porosity are the two variables of relative importance. Macroscopically, the structure of processed surface increases the contact area per unit; and its bonding strength with bone tissue is strengthened from the mechanical undercut formed. Related animal study has revealed that once rabbit femur has achieved osteointegration with experimental implants, the torque removal would show obvious increase, achieving four times the value compared to the control implants with machined surface.1 Microscopically, the importance of surface architecture on the mechanism of osteointegration can be observed. When an implant is placed, hydration takes place between water molecules and titanium implant surface in a fraction of a second. At the same time, bonding occurs between calcium ion, phosphate ion and micromolecules, changing the electric charge on the titanium surface. Organic molecules such as amino acids, proteins, ester and peptide thus tightly attach to the hydrated interface, which is an important layer.2 Early in 1987, Williams proposed that unique surface structure of implants can provide adherence for protein molecules. These protein molecules, when adhered to an implant surface, would form an organized structure to attract specific cells to bind and differentiate.3 In the process of bone formation and osteointegration, osteoblast differentiation is a key factor.4 Cell culturing and animal studies have discovered that different implant surface treatments would result in varied osteoblastic differentiation.5−9 Micro-arc oxidation (MAO) technique applies increasing voltage on metal compartments in an aqueous solution. As the oxidation rate increases on the metal, the surface structure recrystallizes, creating a local tunneling ionization reaction. Under the high temperature plasmatic effect, MAO-treated surface forms a layered structure. The outmost layer being porous and oxidized as the residue resulted from high temperature outburst of the treated metal. As the inner surface continues to be heated, it gradually acquires the properties of highly durable ceramics with high wear-resistance. With a dense oxidized layer and a outer porous structure to increase the route of ion diffusion, the metal of concern is more resistant to acid etching.10 In recent years, micro-arc oxidation technology has brought recognition in the surface oxidation of light metals such as aluminum, magnesium and titanium alloys,11 providing a simple and efficient way to process light metal surfaces. This porous structure significantly enhances the bonding of bone tissue and the titanium alloy surface.12 According to Boyan’s study, culturing of osteoblasts on sandblasted and acid etched pure titanium surface would increase the formation of alkaline phosphatase (ALP) and type I collagen. ALP is a secreted enzyme in early stage of osteoblast differentiation. Type I collagen is the main protein secreted by osteoblasts, taking up to 90% of the bone matrix. Hence ALP and type I collagen are the two major detectors for osteoblast differentiation.
Runx-2 was extracted by Levanon et al in 1994. It is a transcription factor of the RUNX family. Other members of the RUNX family include Runx-1, which affects hemopoietic function, and Runx-3, which plays a role in the neural system. Runx-2 concerns the potential of osteo-differentiation. Inability to differentiate osteoblast and bone tissues that followed was observed on Runx 2 gene knockout mice. Once Runx-2 gene mutation occurs in human, autosomal dominant skeletal disorder and cleidocranial dysplasia would occur. Runx-2 is considered the key modulator in osteoblast differentiation, a major factor in achieving skeletal maturity and homeostasis.13 Osterix is a novel zinc finger-containing transcription factor, an important protein in osteoblast differentiation and bone formation. It is a direct downstream product of Runx 2 induced osteo-differentiation process.14 Under mechanical loading or the influence of vitamin K and vitamin D3, osteoblast would synthesize and excrete osteocalcin. Osteocalcin is the main non-collagen protein in bone cell matrix with size of 5800 daltons. Usually in the form of gamma-carboxy-glutamic acid (Gla), it binds to the minerals in the bone when calcium ion is present, and deposits in extracellular matrix. Being a transcription factor found solely in osteoblasts and no other extracellular matrix- producing cell, osteocalcin is an indicator of osteoblast activity and bone formation rate.15 Meanwhile, studies have shown that pore size on titanium surface can have a profound effect; the density of osteocytic differentiation on submicrometer surface is higher than micrometer surface.16 As nano technology progresses, interests in the effect of nano surface treatment on osteo-differentiation have spun.17 This study aims to investigate whether the pore size and roughness on metal of machined surface and MAO would alter the genetic expression of Runx-2 signaling pathway. By quantifying the results, an in vitro detecting method would be utilized to verify the ideal surface treatment to stimulate osteoblast differentiation and osteointegration, providing more information on surface treatment of dental implants.
Disk preparation
Grade II commercially pure titanium was pre-fabricated into disks of 16mm in diameter and 1.0mm in thickness. With machined surface as control (Figure 1), surfaces were created by cathodically polarization at a constant current for 10 minutes in 1M H2SO4 solution at 298K, with a platinum plate used as a counter electrode. Various pore sizes were created with 10μm in roughness as group A (Figure 2), 1μm as group B (Figure 3), 0.1μm as group C (Figure 4) and 0.01μm as group D (Figure 5). Prior to experiment, deionized water and 5% sodium bicarbonate solution were used to cleanse the disks, further treated with ultrasonic shaker containing deionized water for three times of five minutes each. Autoclave was utilized to complete the sterilization.18
Cell cultures
MC3T3-E1 cell was used in this experiment. Cells were adhering to the titanium disks with high density culture technique. The cells were centrifuged to 2x10⁴/500μl and transferred to the titanium disks placed in 16 well dishes, and placed in incubator (5% CO2, 37°C) for one hour. After the cells had adhered, α-MEM and 50mg/ml ascorbate were added, and continue to incubate for 72 hours for quantifying examination.
Scanning electron microscope (SEM)
After 72 hour culture, 2.5% glutaraldehyde/paraformaldehyde fixative was used for MC3T3-E1 cell fixation. Dehydration was done with ascending series of alcohol, and critical point dried. Au/Pd layer was coated and the disks were examined under SEM with 10-20 kV beam voltage.
Real time-Q PCR
Utilizing RT-Q PCR technique, Runx-2, osterix and osteocalcin gene expression of osteoblasts were investigated. After 72 hours of culturing, RNA was extracted using RNeasy Mini Kit. Firstly, spectrum analysis (260nm) was performed to determine the concentration of RNA. Absorptivity was analyzed with 260 and 280nm. Module was made using the extracted RNA for reverse transcription with SYBR Green Reverse Transcription Reagents. Primer sets used were listed in Table 1.
Genes |
Primers sets |
|
Forward |
Reverse |
|
GAPDH |
TGGAGAAACCTGCCAAGTATGGT |
GTTGAAGTCACAGGAGACAAC |
Runx-2 |
AAGTGCGGTGCAAACTTTCT |
TCTCGGTGGCTGGTAGTGA |
Osterix |
CCCTTCTCAAGCACCAATGG |
AGGGTGGGTAGTCATTTGCATAG |
Osteocalcin |
CCGGGAGCAGTGTGAGCTTA |
AGGCGGTCTTCAAGCCATACT |
OPG |
ATCAGAGCCTCATCACCTT |
CTTAGGTCCAACTACAGAGGAAC |
RANKL |
GTGGTCTGCAGCATCGCTC |
TCACTCTCCAGAGTCGAGTC |
Table 1 Primer sets used in RT-qPCR
Biostatistics
All values were expressed as means ± standard deviation. Statistical analyses were performed using SPSS 18.0 software (SPSS Inc, Chicago, IL, USA). Statistical significance was set at p<0.05. Multiple comparisons were used to compare parameters of the tested samples between the different groups and time of observations. One-way analysis of variance (ANOVA) and Tukey’s multiple comparison tests were used to compare the data of various roughness. Mean and standard deviation were calculated.
SEM shown MC3T3-E1 cell morphologic differences on varying roughness of titanium surfaces
Under SEM, cytoplasmic extensions of MC3T3-E1 cell were more observant on 1μm and 10μm surfaces (Figure 6&7). Cells would stack up in to a three dimensional structure with more vesicles on the surfaces. On the contrary, machined surface, 0.1μm and 0.01μm surfaces showed less cytoplasmic extensions with more compressed and flat cells, poorer cell adherent properties with chipping noted around the edges (Figures 8−10).
Real time- Q PCR
After 72 hours, the genetic expression of osteocalcin was most evident on the 1μm surface, demonstrating a structural completed extracellular matrix and that calcification of osteoblasts has initiated (Figure 11). The two indicators of differentiation, Runx-2 and osterix showed delayed expression on the machined surface group, therefore acquiring greater strength than 10μm, 1μm and 0.1μm roughness surfaces (Figure 12&13).
Early studies of dental implant focus on the materials placed and their biocompatibility. Issues such as persistent chronic inflammation after surgery would cause inability to achieve osteointegration at the connective tissue interface. On the other hand, micromotion of implants is also a potential threat to osteointegration. Surface treatments to add mechanical interlock, such as sintering titanium spherical beads onto the implant surface, has been utilized to enhance primary stability. However, treatments as such would create irregular gaps, leading to mass plaque accumulation once exposed in the oral environment. Peri-implantitis would thus spread apically and severely sabotage the process of osteointegration. With the advancement of sandblasting, acid etching, electrochemistry, and nano technology opens up a wide selection of implant surfaces which has been the focus of recent studies. Composition, surface architecture, roughness and surface energy are four aspects of influence a surface treatment can have on osteoblasts. Yet these four aspects are closely interrelated.19 From a biologic point of view, the process of osteointegration undergoes a series of seven steps: protein adsorption, cell adherence, local factor production to promote healing, cell proliferation, cell differentiation, extracellular matrix production, and calcification.20 In the above mentioned aspects of implant surface, the most critical factor of osteointegration is surface roughness. Alterations in surface roughness would lead to changes in surface energy, which in turn, generate a different wetting profile and critical surface tension. These changes would affect the protein binding ability of titanium surface and the subsequent cell adhesion. By allowing MC3T3-E1 cell to adhere for the first hour with micromass culture technique, a discrepancy between adherent cells and extracellular matrix would be created due to different titanium surface roughness. It is therefore technically difficult to establish a baseline measurement of cellular growth and other end-products such as collagen I. We further investigate the possibility of surface treatment in altering genetic expression. Prominent gene expression of osteocalcin mRNA observed in surface roughness of 1μm was believed to be related to the integrity of extracellular matrix formation.21 Comparing the cellular morphology under SEM and categorizing the surface roughness into rough (10μm, 1μm) and smooth (machined, 0.1μm, 0.01μm), osteoblasts with long processes and polygonal morphology were observed on the rough surfaces, while flat osteoblasts with short processes were seem on smooth surfaces. It is therefore presumed that when osteoblasts form larger collagen fibril bundles, cell growth in layers would be promoted and contact inhibition would be avoided. This is more favorable for osteocalcin mRNA, which is expressed at the late stage in signaling pathway. A surface of 1μm seemed to have a positive influence on osteocalcin mRNA. As to the two genes expressed at the early stage, Runx-2 and Osterix mRNA, both were significantly expressed on smooth surfaces after 72 hours of culturing. Titanium has proven to be a biocompatible material with osteoblasts, and MC3T3-E1 cells were steered towards bone formation. Yet the cellular growth was slower compared with rough surfaces. With surface roughness of 0.1μm and 0.01μm, osteoblast differentiation was not significantly enhanced as expected. According to the research by Kilpadi and Lemons, variation in sterile technique and surface treatment may cause differences in critical surface tension.22 Consistent surface treatment and sterile techniques were utilized in this experiment, thereby ruling out any possible errors concerning these variables. As Kilpadi and Lemons demonstrated in their study, critical surface tensions of 23μm and 70μm in surface roughness were fairly similar. The authors believed that titanium surfaces would form an amorphous titanium oxide layer, reducing the differences created in various surface treatments. In the present study, osteoblast morphology on 0.1μm surface was still dominant by flat cells with short processes. From Martin’s study in 1995 using human MG63 osteoblasts, surface binding ability of the 0.2μm surface was significantly lower than the 6-7μm surface.23 We therefore believe that with the formation of an oxide layer, the effect of small size porosity or smooth surface would be less observant.
This study utilized one single surface treatment procedure to minimize possible bias. By examining the cellular morphology and biochemistry markers, we have found that the surface roughness of 1μm on titanium implant surface possesses most prominent osteogenic factors of the osteoblast cell signaling pathway. An organic matrix structure in morphology would be most suitable for osteoblast adherent and differentiation.24
None.
We would like to thank Cheng et al. for providing the metal specimens for this study.
The authors declare no conflict of commercial interests in this submission. This study is self-supported.
©2017 Lu, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.