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ORIGINAL ARTICLE
Bone response to immediate loading through titanium implantswith different surface roughness in rats
Naoko Sato • Toshie Kuwana • Miou Yamamoto •
Hanako Suenaga • Takahisa Anada •
Shigeto Koyama • Osamu Suzuki • Keiichi Sasaki
Received: 30 August 2012 / Accepted: 28 January 2013 / Published online: 7 April 2013
� The Society of The Nippon Dental University 2013
Abstract Because of its high predictability of success,
implant therapy is a reliable treatment for replacement of
missing teeth. The concept of immediate implant loading
has been widely accepted in terms of early esthetic and
functional recovery. However, there is little biological
evidence to support this concept. The objective of this
study was to examine the interactive effects of mechanical
loading and surface roughness of immediately loaded
titanium implants on bone formation in rats. Screw-shaped
anodized titanium implants were either untreated (smooth)
or acid-etched. Two implants were inserted parallel to each
other in the tibiae of rats, and a closed coil spring (2.0 N)
was immediately applied. Trabecular and cortical bone
around both implants was analyzed using microtomo-
graphic images, and a removal torque test was performed at
weeks 1, 2, and 4. Immediate loading of acid-etched
implants resulted in significant decreases in bone mineral
density, contact surface area, and cortical bone thickness.
These effects were not observed after immediate loading of
smooth implants. Conversely, loading did not influence
acid-etched implant fixation; however, smooth implant
fixation at week 1 was significantly reduced. These results
imply that surface roughness regulates bone response to
mechanical stress and that immediate loading might not
inhibit osseointegration for smooth and rough implants in
the late healing stages.
Keywords Immediate loading � Osseointegration �Bone reaction � Surface roughness � Rats
Introduction
Owing to improved surgical techniques and development
of macro- and micro-implant designs, implant therapy is a
reliable treatment for replacement of missing teeth. The
notion that a 3- to 6-month healing period is requisite for
successful osseointegration has been used as a general
standard based on the initial clinical experience of Brane-
mark et al. [1, 2] in 1977. The concept of immediate
implant loading has become an option for common treat-
ments because it provides many benefits for patients,
including decreased patient anxiety and discomfort and
early recovery of esthetics and masticatory function.
Despite this, in vivo and clinical studies in this field are
sometimes confusing and contradictory, and the underlying
biological evidence is still unknown.
Surface roughness of implant fixtures influences bone
formation around implants. Rough titanium (Ti) surfaces
enhance osteoblast differentiation, with increased alkaline
phosphatase activity and upregulation of bone-related
genes [3–5]. The rate and degree of bone–implant contact,
bone volume, mechanical properties, and primary stability
are increased by rough implants compared with machined-
surface implants in vivo [6–10].
Osteoblasts are known to respond to mechanical
stress by increasing the production of matrix proteins,
prostaglandin E2, nitric oxide, intracellular calcium, and
N. Sato (&) � S. Koyama
Tohoku University Hospital, Maxillofacial Prosthetics Clinic,
4-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
e-mail: [email protected]
T. Kuwana � M. Yamamoto � H. Suenaga � K. Sasaki
Division of Advanced Prosthodontics, Tohoku University
Graduate School of Dentistry, Sendai, Japan
T. Anada � O. Suzuki
Division of Craniofacial Function Engineering,
Tohoku University Graduate School of Dentistry,
Sendai, Japan
123
Odontology (2014) 102:249–258
DOI 10.1007/s10266-013-0107-4
cyclooxygenase-2 (COX-2) [11]. A large number of studies
have reported that mechanical stress influences bone
modeling and remodeling. The responsiveness of bone
tissue has been shown to vary based on (1) the nature of the
mechanical loading, including stress amplitude, frequency,
and total load repetitions [12–14], and (2) the mode of
mechanical stress, including fluid shear, stretching, and
compression stress [15]. Appropriate mechanical stimuli
therefore increases bone density, volume, and mechanical
properties, while excessive stress can have negative effects
on bone formation [16, 17]. Vandamme et al. [18] reported
that micro-motion of up to 90 lm in implant displacement
increased bone formation around immediately loaded
implants with a rough surface in rabbits. De Smet et al.
examined the effect of a sinusoidally varying bending
moment on peri-implant bone in guinea pigs using a force-
controlled electromechanical shaker. They showed that a
strain rate amplitude of 1.620 microstrain s-1 stimulated
optimal osteogenesis in cortical bone around acid-etched
implants [19]. Isidor [20, 21] reported that implant mobility
was caused by progressive peri-implant bone loss after
occlusal overload for 18 months in monkeys.
Mechanical stress transmitted through Ti surface mic-
rotopography potentially alters the local mechanical envi-
ronment [22, 23]. In addition, Ti surface roughness
influences focal adhesive components, which are thought to
play critical roles in stress transmission to bone cells [24,
25]. Although the individual effects of mechanical stress
and Ti surface roughness on bone tissue response have
been widely studied, there is little information about their
interaction [26].
We hypothesized that the degree of Ti surface roughness
influences osseointegration and marginal bone formation
around immediately loaded implants. The objective of this
study was to examine the interactive effect of mechanical
loading and Ti surface roughness on bone formation around
immediately loaded implants.
Materials and methods
The guidelines for animal use (NIH Animal Research
Advisory Committee, 1995) and specific national laws
were followed. The preparation of animals was performed
according to animal protocols approved by Tohoku
University.
Implants
Screw-shaped Ti implants (Orthoanchor; Dentsply-Sankin,
Tokyo, Japan), 1.2 mm in diameter and 9.25 mm in length,
were used in this study. Implant surfaces were anodized in
accordance with the manufacturer’s instructions to prevent
oral discoloration. Implants were left untreated (Smooth,
Sm) or were acid-etched (AE). The AE surface was created
by immersion in 67 % (w/w) sulfuric acid (H2SO4) at
120 �C for 75 s, washing with deionized water, and storage
in a dark room for 3 weeks. All implants were autoclave-
sterilized prior to surgery. There are few studies on how
implant surface roughness and loading affect peri-implant
bone formation [26, 27]. In this study, the roughness of AE
implants was determined with reference to a previous study
[26], in which an Ra value of 2.75 lm was chosen for the
roughened surface.
Low- and high-magnification images using scanning
electron microscopy (XL30; Philips, Eindhoven, The
Netherlands) showed that the Sm surfaces were relatively
smooth with machining grooves and that the AE surfaces
had uniform 0.5 to 1.0 lm grooves surrounded by sharp
peaks and troughs (Fig. 1). Using a noncontact, three-
dimensional (3D) measuring device (NH-3; Mitaka Kohki,
Tokyo, Japan), the average roughness (Ra), root mean
square roughness (Rq), and average maximum height of the
profile (Rz) were measured. Ra = 0.341 ± 0.08 lm,
Rq = 0.462 ± 0.1357 lm, and Rz = 1.884 ± 0.699 lm
for the Sm implants, and Ra = 2.223 ± 0.264 lm,
Rq = 2.776 ± 0.326 lm, and Rz = 9.742 ± 1.497 for the
AE implants.
Animals and surgical procedure
Sixty 12-week-old male Wistar rats received Ti implants.
The surgery was performed under intraperitoneal anesthe-
sia (sodium pentobarbital, 50 mg/kg) and aseptic condi-
tions. A full-thickness flap was made on the medial side of
the right tibia, and implant holes were created using a
1 mm surgical drill at a speed of [1000 rpm with irriga-
tion. Implants were inserted with low rotational speed
(300 rpm) until the implant heads were exposed to about
5 mm. Each rat received two implants: a test implant (Sm
or AE implant) placed 5 mm distal to the growth line of the
knee joint, and an anchor implant (Sm implant) placed
13 mm distal to the test implant (Fig. 2). The flaps were
closed with resorbable sutures, leaving the implant heads
protruding.
Immediate loading with coil springs
Nickel-Ti alloy closed coil springs (Sentalloy; Tomy
International, Okuma, Japan) were attached to the implant
heads immediately after implant insertion. Coil springs
10 mm in length (3 mm tension coil and 7 mm hook
attachment) provided a continuously compressed load of
2.0 N within the effective length (10–22 mm). In this
study, the unloaded group (without spring) and loaded
group (with spring) with the Sm and AE implants were
250 Odontology (2014) 102:249–258
123
examined. There were no observed inflammatory reactions
at the implant sites and no movement of implants during
the experimental period.
Specimen preparation and micro-CT evaluation
At 1, 2, and 4 weeks after implant insertion, rats in the
loaded and unloaded groups (n = 5/group) were killed and
the tibias were harvested. Implant-tibia blocks were created
by sharp dissection of the implant sites. All specimens were
scanned with an X-ray micro-CT system (ScanXmate-
E090; Comscantecno, Yokohama, Japan) with a tube
voltage of 90 kV and tube current of 0.1 mA. After scan-
ning, the TRI/3D-BON system (Ratoc System Engineering,
Tokyo, Japan) was used to build 3D models from serial
tomographic datasets for observation and morphometric
analysis. The 3D images were segmented into voxels
(isotropic voxel size of 15.3 lm) identified as bone and
implant (Fig. 3). The gray-scale images were segmented
using a strict filter to remove noise and a fixed threshold to
extract the mineralized bone phase. The following param-
eters were examined:
1. Bone mineral density of trabecular bone around the
implant (t-BMD).
2. Trabecular bone surrounding the implant was seg-
mented into three zones (circumferential zone, within
150 lm of the implant surface; middle zone, from 150
to 300 lm; and far zone, from 300 to 450 lm). The
t-BMD in the three zones was analyzed.
3. Bone mineral density of cortical bone around the
implant (co-BMD).
4. Cortical bone 15.3 lm from the implant surface was
analyzed. We focused on cortical bone on the side of
Fig. 1 Scanning electron
micrograms of smooth and acid-
etched titanium implant
surfaces. Bars = 100 lm
(upper), 2 lm (middle), and
0.5 lm (lower). Average
roughness (Ra) is shown for
both implants
Fig. 2 Right loaded rat tibia. Photographs show two implants inserted perpendicular to the long axis of the tibia at an interval of 13 mm with a
coil spring
Odontology (2014) 102:249–258 251
123
the implant head in contact with the loaded implants
because the marginal bone profiles around the implant
heads are critical for esthetics.
5. Contact surface area between cortical bone and the
implant (co-area)
6. The reconstructed 3D images of the implant and
superficial cortical bone of the implant were extracted.
The implant and cortical bone were identified based on
each CT number. The surface area of the cortical bone,
which overlaps the surface area of the implant, was
calculated as the co-area.
7. Thickness of cortical bone in contact with the implant
(co-thickness).
8. Two-dimensional reconstructed images along the long
axis of the bone (sagittal image) were used for
analysis. The central axis of the implants divided the
cortical regions into the region in the direction of the
load (compression side) and the region in the opposite
direction (tensile side). In these regions, the co-
thickness was measured (Fig. 4).
Biomechanical testing of the implant–bone interface
(stability measurement)
Biomechanical testing of the implant–bone interface was
carried out using the removal torque test. Implant-tibia
blocks were perpendicularly fixed with a jig. The implant
driver with a torque gauge (AHV-11A; Tohnichi, Tokyo,
Japan) was attached to the implant head. The peak loosening
torque (Ncm) was then recorded. Implants were carefully
removed to preserve integrity of the bone structure.
Statistical analysis
After tests for normality and equality of variance, statistical
analysis of the data was conducted using two-way analysis
of variance (ANOVA). When necessary, the post hoc
Bonferroni test was used as a multiple comparison test. A
p value of \0.05 was considered statistically significant.
Results
Bone mineral density of trabecular bone (t-BMD)
around implants
After immediate loading, no significant differences were
observed in t-BMD around both the Sm and AE implants in
all three zones (Fig. 5). The t-BMD in the middle and far
zones of unloaded AE implants was significantly increased
at week 2 and maintained at week 4. However, there were
no significant differences over time in t-BMD for Sm
implants, regardless of load application.
Fig. 3 Left, three-dimensional
reconstructed image of the tibia
with implant. Right, two-
dimensional reconstructed
image of the tibia with implant
(transverse image)
Fig. 4 Schematic views of cortical bone with loaded implant. The
thicknesses of cortical bone in contact with the implant on the
compression and tension sides (co-thickness) were measured using
two-dimensional reconstructed images along the long axis of the bone
(sagittal image)
252 Odontology (2014) 102:249–258
123
Bone mineral density of cortical bone (co-BMD)
around implants
Immediate loading significantly decreased co-BMD around
AE implants at week 4 (p \ 0.01, Bonferroni); no effect on
Sm implants was observed (Fig. 6). The co-BMD of
unloaded AE implants at week 4 was significantly higher
than that at weeks 1 and 2. Conversely, there were no
significant changes in co-BMD around Sm implants with
and without loading at all time points.
Fig. 5 Bone mineral density of
trabecular bone around smooth
(Sm) and acid-etched (AE)
implants following loading at
weeks 1, 2, and 4. Three zones
(within 150 lm of the implant
surface, from 150 to 300 lm,
and from 300 to 450 lm) were
analyzed. Data are shown as the
mean ± SD (n = 5). *p \ 0.05,
**p \ 0.01
Odontology (2014) 102:249–258 253
123
Contact surface area between cortical bone
and the implant (co-area)
The co-area for AE implants was significantly decreased by
load application at week 2 (p \ 0.05, Bonferroni) (Fig. 7).
For Sm implants, there were no significant effects of
loading on co-area at all time points.
Thickness of cortical bone in contact with loaded
implants (co-thickness)
The co-thickness was significantly increased on the com-
pression and tension sides of unloaded Sm and AE
implants and on the tension side of loaded Sm implants at
week 2 compared with week 1. The co-thickness was sig-
nificantly lower on the tension side in loaded AE implants
compared with unloaded AE implants at week 2 (p \ 0.05,
Bonferroni). There were no significant differences in the
co-thickness between the compression side and tension side
at all time points (Table 1).
Biomechanical strength of the implant–bone interface
Immediate loading significantly decreased the biome-
chanical strength of the implant–bone interface for Sm
implants at week 1 (p \ 0.01, Bonferroni) (Fig. 8). There
were no significant differences in reverse torque values
between loaded and unloaded AE implants at all time
points. For each group, the biomechanical strength at
weeks 2 and 4 was significantly higher than that at week 1.
Discussion
The present study demonstrated that immediate loading did
not influence AE implant biomechanical strength. How-
ever, immediate loading did result in negative effects on
cortical bone around the AE implant, including decreased
co-BMD at week 4, co-area at week 2, and co-thickness on
the compression side at week 2. Conversely, cortical bone
around the Sm implant was unaffected by loading, whereas
Fig. 6 Bone mineral density of
cortical bone around smooth
and acid-etched implants under
mechanical stress at weeks 1, 2,
and 4. Data are shown as the
mean ± SD (n = 5). *p \ 0.05,
**p \ 0.01
Fig. 7 Contact surface area
between cortical bone and
smooth (Sm) and acid-etched
(AE) implants following loading
at weeks 1, 2, and 4. Data are
shown as the mean ± SD
(n = 5). *p \ 0.05, **p \ 0.01
254 Odontology (2014) 102:249–258
123
the biomechanical strength of Sm implants at week 1 was
significantly reduced by load application. These results
provide insight that surface roughness regulates bone
response to mechanical stress.
According to the proposal of Frost’s minimum effective
strains, when bone tissue is subjected to loads that cause
intraosseous peak strains in the 100–1500 le,
1500–3500 le, and[3500 le ranges, bone mass will show
no change, an increase, and a decrease, respectively [16,
28, 29]. In the present study, immediate loading failed to
improve the profile of trabecular and cortical bone around
both implants compared with unloaded implants. This
suggests that the applied mechanical stress might not have
been of the optimal magnitude to accelerate bone forma-
tion. Furthermore, negative effects of immediate loading
on cortical bone around AE implants were observed,
including decreased co-BMD at week 4, co-area at week 2,
and co-thickness on the compression side at week 2. Other
studies have reported the existence of an appropriate strain
range for triggering bone cells to form bone and that the
strain generated through roughened surfaces more fre-
quently reaches the trigger level than that generated
through smooth surfaces [23]. The increased surface area
of the AE implant compared with the Sm implant could
have amplified the stress transmitted to adjacent bone tis-
sue, which might account for our results.
Table 1 Thickness of cortical bone in contact with smooth (Sm) and acid-etched (AE) implants under loading on the compression and tension
sides at weeks 1, 2, and 4
The Compression side The tension side
Sm implant
1W Unload 235 ± 87 342 ± 149
Load 351 ± 51 301 ± 140
2W Unload 686 ± 55 669 ± 102
Load 430 ± 131 668 ± 132
4W Unload 420 ± 162 523 ± 194
Load 420 ± 118 565 ± 86
AE implant
1W Unload 425 ± 218 455 ± 91
Load 379 ± 49 378 ± 75
2W Unload 744 ± 51 806 ± 142
Load 539 ± 91 671 ± 268
4W Unload 668 ± 96 476 ± 225
Load 573 ± 66 483 ± 103
Data are shown as the mean ± SD (n = 5). * p \ 0.05, ** p \ 0.01
Fig. 8 Biomechanical strength
of the implant–bone interface
for smooth (Sm) and acid-etched
(AE) implants following
mechanical stress at weeks 1, 2,
and 4 measured by the removal
torque test. Data are shown as
the mean ± SD (n = 5).
*p \ 0.05, **p \ 0.01
Odontology (2014) 102:249–258 255
123
There are some negative aspects of micro-CT evalua-
tion. The effect of artifacts produced by metals similar to
Ti should not be ignored. Metal artifacts greatly affect
micro-CT images in terms of halation. In this study, to
reduce this influence on the CT number of peri-implant
bone as much as possible, the inclination of the implants
was standardized in CT imaging; thus, the data compari-
sons were performed under the same conditions. Although
quantitative evaluation of new bone alone is difficult, it is
important to observe biological events (i.e., bone resorption
and new bone formation) in the healing phase. Because the
CT number is calculated by the X-ray absorption coeffi-
cient, new bone and preexisting bone were identified as
cortical bone based on the level of mineralization. Thus,
data based on micro-CT alone is insufficient for compre-
hensive understanding of peri-implant bone reactions in
healing. Further histological investigations are required to
observe biological events (i.e., bone resorption and new
bone formation) in peri-implant bone under loading
conditions.
The mechanism by which bone cells on Ti detect
mechanical stress and process the information is largely
unknown [30]. It has been proposed that application of
stress drives conformational changes in cell membranes,
focal adhesion complexes [e.g., extracellular matrix (ECM)
and integrins], cell–cell adhesions (e.g., cadherin), and gap
junctions, which induce cytoskeletal rearrangement and
signal transduction for proliferation and differentiation [31,
32]. ECM connections to the cytoskeleton may act as
amplifiers of mechanical signals [33]. In other studies,
bone cell growth on rough surfaces resulted in upregulation
of integrins, enhanced production of ECM proteins such as
fibronectin, and altered focal contacts compared with bone
cell growth on machined surfaces [34–36]. Moreover,
Simmons et al. [22] demonstrated that implant surface
topography modulated a local mechanical environment that
affected bone formation as determined using finite element
analysis. Taken together, these findings show that it is
reasonable to assume that modified focal adhesion com-
plexes on rough Ti surfaces and substrate features such as
increased surface area and 3D configurations account for
differences in responsiveness of bone tissue around Sm and
AE implant surfaces to stress conditions.
Generally, bone adaptation to mechanical stress is
observed as bone remodeling. Improvement of bone
mechanical properties due to receiving optimal mechanical
stress is attributed to tiny structural changes in bone [37].
Our results demonstrate that loading deteriorates implant
fixation of Sm implants and cortical bone profiles of AE
implants at early time points. This suggests that the
mechanical stress applied in this study may not have
exceeded the physiological threshold of bone adaptation,
allowing bone to adapt to the stress. Previous studies
reported that completion of osseointegration in the rat tibia
occurs 4–6 weeks after implantation based on nuclear
medicine, histological, morphologic, and radioautographic
examinations [38–42]. In the present study, it is unknown
how a decrease in co-BMD of loaded AE implants at week
4 could subsequently change. Further studies are needed to
observe the bone reaction around loaded implants beyond
4 weeks.
It is well known that implant surface roughness influ-
ences the biomechanical quality of osseointegrated bone
and that Ti implants with rough surfaces induce more
pronounced osseointegration than do Ti implants with
smooth surfaces. Ogawa et al. [10] investigated the bio-
mechanical strength of the cylindrical implant–bone
interface for acid-etched surfaces and turned surfaces in
rats using the implant push-in test. The acid-etched
implants showed significantly higher push-in test values
than did the turned implants throughout the experimental
period. Butz et al. examined the hardness and elastic
modulus of the integrated bone around acid-etched surfaces
and turned surfaces in rats using nano-indentation tech-
niques [7]. The data showed that the bone integrated to the
acid-etched surface was harder and stiffer than the bone
integrated to the machined surface. They concluded that
implant surface roughness affects the biomechanical qual-
ity of osseointegrated bone. In the present study, to clarify
the bone response to immediate loading through each Sm
and AE Ti implant surface, statistical comparison was
performed between loaded and unloaded groups of each
Sm and AE implant. Despite no statistical comparison, the
biomechanical strength of the implant–bone interface for
the AE implants seemed to be higher than that for the Sm
implants in unloaded and loaded conditions. These data are
consistent with the results of the study by Ogawa et al.
[10]. Interestingly, the mechanical strength of the AE
implant–bone interface was not affected by loading, while
cortical bone profiles were observed to deteriorate. This
conflict may have some possible explanations: (1) other
undetected factors in the cortical bone area (e.g., immature
bone) might be related to implant–bone fixation according
to micro-CT evaluation. (2) The increased surface area of
AE implants is assumed to increase the removal torque
resistance of the implants and improve the biomechanical
quality of osseointegrated bone. This might counteract the
loading influence of the deteriorated cortical bone profile
on osseointegration of AE implants. Because of the limited
data from this study, further experiments are necessary.
Positive and negative bone responses to mechanical
loading have been reported. Bone chamber models in
rabbits have been used to examine de novo bone formation
and tissue differentiation under loading conditions [18, 43,
44]. In a series of studies, Vandamme et al. histologically
analyzed the effects of implant surface roughness on peri-
256 Odontology (2014) 102:249–258
123
implant bone formation in unloaded and loaded conditions:
30 lm displacement loading for 400 cycles at 1 Hz, 3
times a week for 9 weeks in rabbits [26]. The data showed
no significant differences in the incidence of osseointe-
gration between turned implants and roughened implants
under loaded conditions. Melsen et al. [45] demonstrated
that orthodontic forces increased cortical bone turnover and
alveolar bone density. The tissue turnover characteristics
were not affected by the magnitude of the loading force
between 100 and 300 cN. Gotfredsen et al. [46–48] showed
that implants subjected to a static lateral expansion load
increased bone density and mineralized bone–implant
contact compared with control implants. Hoshaw examined
the hypothesis that mechanical loading of implants and the
consequent stress and strain fields influence bone modeling
and remodeling at the bone–implant interface in dogs [17].
They demonstrated a decreased percentage of mineralized
bone tissue around implants following axial loading with a
triangular waveform (300 N maximum, 10 N minimum,
330 N/s for 500 cycles per day for 5 consecutive days) for
12 weeks. The results support the premise that bone loss
observed around the neck of loaded implants at 12 weeks
postloading was a consequence of bone modeling and
remodeling secondary to bone microdamage caused by the
loading protocol. Thus, bone reactions to mechanical
loading depend on the loading condition: (1) the nature of
the mechanical loading, including stress amplitude, fre-
quency, and total load repetitions [12–14], and (2) the
mode of mechanical stress, including fluid shear, stretch-
ing, and compression stress [15]. Therefore, a direct
comparison of data is difficult because of different exper-
imental designs.
The present study focused on the cortical bone profiles for
the following reasons: (1) Most studies using finite element
analysis demonstrated high stress concentration in cortical
bone when implants were loaded [49, 50]. (2) Other studies
have reported limited contact with trabecular bone and main
contact with cortical bone 4 weeks after loading in guinea
pig tibiae [19]. Because the load was applied in one direc-
tion, the thickness of cortical bone (co-thickness) was
examined on the compression and tension sides. Although
the co-thickness for loaded AE implants was significantly
lower than that for unloaded AE implants at week 2, there
were no significant differences in the co-thickness between
on the compression and tension sides in the presence of
loading. These results might be attributed to the fact that
loading also tended to decrease the co-thickness on the
tension side at week 2 despite no statistical differences.
A large number of previous studies have investigated
mechanical loading in vivo. However, surface microto-
pography likely alters the local mechanical environment
[22, 23] and focal adhesive components, which are thought
to play critical roles in stress transmission to cells [32].
Therefore, we should discriminate bone behaviors acti-
vated by stress through Ti from bone behaviors affected by
mechanical stress alone. Nevertheless, few studies have
considered the interactive effects of surface roughness and
mechanical factors on bone reactions [26, 27, 44]; there is
no evidence of an association between surface roughness
and bone response under loading conditions. The results of
the present study imply that surface roughness regulates
cortical bone reactions to mechanical stress and that
immediate loading might fail to deteriorate osseointegra-
tion for both implants at late healing time points. Further
studies of different loading protocols will help to eluci-
date the regulation effects of stress transmitted through
Ti implants with different surface roughness on bone
formation.
Acknowledgments This work was supported by a Grant-in-Aid for
Scientific Research (grant no. 21791876) from the Ministry of Edu-
cation, Culture, Sports, Science and Technology of Japan.
Conflict of Interest None of the authors have any conflicts of
interest associated with this study.
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