Journal Impact Factor: 3.644 | CiteScore: 3.2
More on impact ›

Brief Research Report ARTICLE

Front. Bioeng. Biotechnol., 15 May 2020 | https://doi.org/10.3389/fbioe.2020.00478

Regional Nanoindentation Properties in Different Locations on the Mouse Tibia From C57BL/6 and Balb/C Female Mice

Valentina Pepe1,2,3, Sara Oliviero1,2, Luca Cristofolini3 and Enrico Dall'Ara1,2*
  • 1Department of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, United Kingdom
  • 2INSIGNEO Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom
  • 3Department of Industrial Engineering, Alma Mater Studiorum - Università di Bologna, Bologna, Italy

The local spatial heterogeneity of the material properties of the cortical and trabecular bone extracted from the mouse tibia is not well-known. Nevertheless, its characterization is fundamental to be able to study comprehensively the effect of interventions and to generate computational models to predict the bone strength preclinically. The goal of this study was to evaluate the nanoindentation properties of bone tissue extracted from two different mouse strains across the tibia length and in different sectors. Left tibiae were collected from four female mice, two C57BL/6, and two Balb/C mice. Nanoindentations with maximum 6 mN load were performed on different microstructures, regions along the axis of the tibiae, and sectors (379 in total). Reduced modulus (Er) and hardness (H) were computed for each indentation. Trabecular bone of Balb/C mice was 21% stiffer than that of C57BL/6 mice (20.8 ± 4.1 GPa vs. 16.5 ± 7.1 GPa). Moreover, the proximal regions of the bones were 13–36% less stiff than the mid-shaft and distal regions of the same bones. No significant differences were found for the different sectors for Er and H for Balb/C mice. The bone in the medial sector was found to be 8–14% harder and stiffer than the bone in the anterior or posterior sectors for C57BL/6 mice. In conclusion, this study showed that the nanoindentation properties of the mouse tibia are heterogeneous across the tibia length and the trabecular bone properties are different between Balb/C and C57BL/6 mice. These results will help the research community to identify regions where to characterize the mechanical properties of the bone during preclinical optimisation of treatments for skeletal diseases.

Introduction

Bone diseases such as osteoporosis affect the quality of life of millions of patients every year worldwide. Preclinical assessment of bone anabolic or anti-resorptive interventions in mice models is fundamental to understand their efficacy before clinical trials (Bouxsein et al., 2010).

A combination of in vivo micro computed tomography imaging and finite element models can be used to evaluate morphometric, densitometric, and mechanical properties of the mouse tibia (Razi et al., 2015; Lu et al., 2017). The optimisation of longitudinal imaging and computational methods to evaluate non-invasively the mechanical properties of bone has the potential to dramatically reduce the number of rodents to be used in preclinical musculoskeletal research, in line with the 3Rs (replacement, refinement, and reduction of animals in research; Viceconti and Dall'Ara, 2019). Nevertheless, little is known about the local mechanical properties of the tissue in different mice of different mouse strains. Moreover, the material properties in the finite element models are assigned by using local tissue properties (i.e., the Elastic Modulus) measured in back-calculated studies for the caudal vertebra of one strain of mice (Webster et al., 2008; Oliviero et al., 2018). Alternatively, such properties could be assigned with local nanoindentation measurements (Wolfram et al., 2010).

Nanoindentation can be used to measure the local tissue moduli and hardness of biomaterials (Zysset et al., 1999; Zysset, 2009). This technique has been used intensively to study the mechanical properties of bovine (Lucchini et al., 2011; Carnelli et al., 2013; Dall'Ara et al., 2015) and human (Zysset et al., 1999; Spiesz et al., 2013) bone tissue. Moreover, some studies have characterized the local mechanical properties of the mouse bone tissue, which is important to study the effect of bone diseases and related interventions in preclinical studies. For example, the nanoindentation properties of mouse bone tissue have been evaluated in the healing callus after fracture of the femur (Leong and Morgan, 2008, 2009). Furthermore, nanoindentation tests have been performed in the femoral cortical bone of 22 weeks old female (Casanova et al., 2017) C57BL/6 mice or 16 weeks old (gender not reported) C57BL/6 (Pathak et al., 2011; with dynamics nanoindentation) and A/J (Pathak et al., 2012) mice (with spherical indenter).

The evaluation of tibia properties is very important as it is a typical anatomical site to access the effect of musculoskeletal interventions in murine studies (Bouxsein et al., 2010) and this peripheral site is usually used for in vivo assessment of bone remodeling with in vivo micro computed tomography (Dall'Ara et al., 2016). However, only a few studies have measured the nanoindentation properties of the cortical bone in the tibia diaphysis: in 9 weeks old female C57BL/6 mice (Rodriguez-Florez et al., 2013); in 4 months old female C57BL/6J, DBA/2J, C3H/HeJ mice (Akhter et al., 2004); in 7 weeks old male B6C3Fe-a/aCol1a2oim/oim, Phospho1-R74X null mutant and respective wild type controls (Rodriguez-Florez et al., 2015); in 10 weeks old male C57BL/6J mice after nephrectomy or sham operation (Heveran et al., 2016); in 4 and 12 months old SAMP6 and SAMR1 mice (Silva et al., 2004); and in C3H and B6C3H-F2 mice of different ages (Jiao et al., 2007). Nanoindentation measurements revealed that the elastic modulus is lowest in DBA/2J mice (22.9 GPa) compared to C3H/HeJ and C57BL/6J that showed similar values (28.3 and 30.9 GPa) (Akhter et al., 2004); that both fragile (B6C3Fe-a/aCol1a2oim/oim null mutant) and ductile (Phospho1-R74X null mutant) disease models lead to a 19% and 14% reduction in elastic modulus compared to control, respectively (Rodriguez-Florez et al., 2015); that local material properties of the cortical bone were impaired for mice after nephrectomy (Heveran et al., 2016); that a senescence accelerated mouse strain (SAMP6) has stiffer and harder cortical bone compared to SAMR1 controls (Silva et al., 2004); and that the bone of C3H mice reaches peaks in elastic modulus and hardness at 4 months of age (Jiao et al., 2007). While the bone material properties from different mouse inbreed strains have been tested, only one study in the literature has evaluated the indentation properties of Balb/C mice bone tissue, showing that the bone tissue in adolescent mice increased in function of age until 40 days of age for which similar elastic modulus was found compared to adult mice (450 days old; Miller et al., 2007). The fact that only one study has measured the nanoindentation properties of bone from Balb/C mice is surprising considering that these mice, together with C57BL/6 mice, are the most common animal models for studying the effect of interventions on skeletal health. These mice strains were shown to have different morphological properties and remodeling patterns after ovariectomy (Roberts et al., 2019), and different response to passive mechanical loading (Holguin et al., 2013) or bone interventions (Lynch et al., 2011). Nevertheless, it is still unknown if the indentation properties of the mouse tibia of these two strains are different. Moreover, it is not known how heterogeneous the nanoindentation properties across the tibia of the mouse are. This property of bone is fundamental to better understanding the link between bone morphometric, densitometric, and mechanical properties and therefore evaluating the effect of skeletal diseases and related interventions in preclinical studies.

The aim of this study was to evaluate the mechanical properties using nanoindentation in different regions of the mouse tibia extracted from skeletally mature C57BL/6 or Balb/C mice.

Materials and Methods

Sample Preparation

Four left mouse tibiae (two from C57BL/6 and two from Balb/C mice, 16 weeks old, female) were collected from a previous study in which the mice were euthanized with cervical dislocation (Roberts et al., 2019). The tissues used in this study were collected from previous animal work, performed under a British Home Office project license (PPL 40/3499) and in compliance with the UK Animals (Scientific Procedures) Act 1986. The whole legs were stored fresh frozen (−20°C) after the animals were culled. At the beginning of this study, the left legs were thawed at room temperature, the tibiae were dissected and then stored in freezer until further processing (−20°C). The tibiae were defrosted in 0.9%NaCl saline solution. They were left 2 h in air at room temperature for dehydration, and then they were embedded in acrylic resin (EpoFix, Struers, Catcliffe, UK). A vacuum procedure was used to reduce the amount of bubbles in the external surface of the bone but at the same time avoiding the infiltration of the resin within the nano-porosities such as osteocytes lacunae and canaliculi (Dall'Ara et al., 2013).

From each tibia three 3 mm thick sections perpendicular to the tibia longitudinal axis were isolated (Proximal, Central, and Distal) by using a low speed diamond saw (IsoMet, Buehler, Germany). Each specimen was polished by using three silicon carbide papers with decreasing grain size (P400, P800, and P1200, Struers, Willich, Germany) followed by a polishing step with alumina particles (0.05 μm, MasterPrep, Buehler, Germany), Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1. Mouse tibia and the three sections in which it was sectioned (Proximal, Central, and Distal); (B) the loading procedure used for the nanoindentation tests (left, maximum load of 6,000 μN, loading time of 20.00 s, unloading time of 6.65 s, and holding time of 30.00 s) and a typical Load-Displacement indentation curve (right); (C) schematic representation of the four sectors, in one slice of the tibia, where the indentations were performed; (D) typical 3 × 2 indentation pattern on the lateral section of the cortical bone of one slice of the tibia (left) and a magnification of the pattern (right).

Nanoindentation Tests

For each section 24 indentations were performed on the cortical bone, divided in four groups in the medial, lateral, anterior, and posterior regions of the tibia (six indentations per region in the central part of the cortical bone, avoiding the circular lamellae close to the endosteum, and periosteum). Considering that in the mouse tibia trabeculae are located only in the proximal portion of the bone, for each specimen five trabeculae distributed across the whole most proximal region were chosen and three to five indentations per trabecula were performed according to its length. The distance between the indentations within the same matrix (2 × 3 for the cortical bone, 1 × 3–5 for trabecular bone) was 15 μm and the distance from the edge was at least 30 μm.

Indentations were performed with a Berkovich tip (Hysitron TI Primer nanoindenter, Bruker, USA) up to a maximum load of 6,000 μN that on our specimens lead to a penetration depth of ~500 nm and radius of ~3,500 nm (indentations within a lamella), as reported in a previous study where indentations were performed on the mouse femur (Casanova et al., 2017). The indentations were performed with the following parameters: loading time equal to 20.0 s (loading rate equal to 300 μN/s), holding time equal to 30.0 s, and unloading of 6.65 s (unloading rate equal to 902 μN/s). In total, 386 indentations were performed (288 on the cortical bone and 98 on the trabecular bone). Each load-displacement indentation curve and each image of the indentation was checked for potential contact issues or other problems.

For each indentation the reduced modulus (Er), the indentation modulus (Eind), the elastic modulus assuming a Poisson's ratio of 0.3 (Zysset, 2009) for the bone (Eb) and the Hardness (H) were computed by using the Oliver and Pharr method (Oliver and Pharr, 1992):

Er=π2βAcdPdh(hmax)    (1)

where β is an empirical indenter shape factor, Ac is the indentation projected area and dP/dh is the slope of the load-displacement curve at the maximum depth (hmax).

Eind= ErEtEt- Er(1-νt2)    (2)

where Et and νt are the elastic modulus and the Poisson ratio of the tip, respectively and Er is the reduced modulus.

Eb= (1-νb2) ErEtEt-Er (1-νt2)    (3)

where Er and Et are the reduced modulus and the indentation modulus and νtand νb are the Poisson ratios of the tip and of the bone sample, respectively.

H=PmaxA    (4)

where Pmax is the peak indentation load and A is the projected area of the impression.

The three moduli (Er, Eind, and Eb) have been reported in order to simplify the comparison between the results obtained in this study and those reported in the literature.

Statistics

The significance of the effect of different factors on Er and H was tested (IBM SPSS software, SPSS Statics Version 25). The parameters were not normally distributed (Kolmogorov-Smirnov, p < 0.05). Therefore, the non-parametric Kruskal-Wallis tests were used (significance threshold equal to 0.05). If a factor was significant, a Bonferroni post-hoc analysis was performed.

For cortical bone properties significance was investigated for the following factors: mouse Strains (Balb/C vs. C57BL/6), Regions (Distal, Central, and Proximal), and Sectors (Anterior, Medial, Posterior, and Lateral). For the trabecular bone, the effect of mouse Strains (Balb/C vs. C57BL/6) was analyzed. Differences between proximal cortical bone and proximal trabecular bone were analyzed.

Results

Of the 386 indentations curves seven were excluded due to contact problems. Therefore, a total of 379 indentations were analyzed (284 on cortical bone and 95 on trabecular bone). Results and statistics are reported here only for H and Er. The results for Eind and Eb are reported in the Supplementary Material. Nanoindentation data are available within the figshare repository: https://doi.org/10.15131/shef.data.11309678.v2.

Effect of “Mouse Strain”

For cortical bone, small but significant differences in Er(p = 0.032) and no significant differences in H (p = 0.812) were observed between the two mouse strains. The trabecular bone of Balb/C mice was stiffer (+20.6%, p < 0.001) and harder (+27.1%, p < 0.001) than that of C57BL/6 mice (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Results from the indentations performed on the cortical and trabecular bone for the two mouse strains.

Effect of “Region”

Significant differences were associated with “Region” for most mechanical properties (Figure 2). For C57BL/6 strain Er was higher in the central (36.0%, p < 0.001) or distal (30.7%, p < 0.001) regions compared to the proximal region. Significant differences were found between the Er of the central and distal regions (7.6%, p = 0.001). Similar trends were found for H (26% difference between proximal and central regions and 23.7% difference between proximal and distal regions, p < 0.001 for both); no difference between the central and distal regions was found (p = 0.393). The H in the proximal cortical bone was higher than that in the proximal trabecular bone (16.2% difference, p = 0.014). However, Er values in the proximal trabecular and cortical bone were similar (p = 0.111).

FIGURE 2
www.frontiersin.org

Figure 2. Mean values of Er and H from the indentations performed on the cortical and trabecular bone for the two mouse strains split for the different regions (Proximal, Central, Distal). Error bars represent standard deviation. *indicates p < 0.05; **indicates p < 0.001.

For Balb/C mice, the bone tissue in the central and distal regions was found to be stiffer (+21.1 and +22.9%, respectively) and harder (+24.8 and +16%, respectively) than that in the proximal region (p < 0.001 in all cases). Similar values of Er (p = 0.224) but higher values of H (+10.5%, p = 0.003) were found in the bone of the central region compared to that in the distal region. Moreover, no differences were found in Er or H between the proximal cortical bone and the proximal trabecular bone (p > 0.369).

Effect of “Sector”

In C57BL/6 mice the bone tissue in the medial sector was found to be stiffer and harder than that in the posterior (+11.1 for Er, p = 0.005; +8.2% for H, p = 0.006) and anterior (+13.2% for Er, p = 0.006; +14.4% for H, p = 0.006) sectors (Figure 3).

FIGURE 3
www.frontiersin.org

Figure 3. Mean values of Er and H from the indentations performed on the cortical bone for the two mouse strains split for the different sectors (Anterior, Medial, Posterior, Lateral). Error bars represent standard deviation. *indicates p < 0.05.

In Balb/C mice similar stiffness and hardness values were found for the bone of the different sectors (p = 0.566 for Er and p = 0.427 for H) (Figure 3).

Discussion

The goal of this study was to characterize the heterogeneous regional bone material properties along the tibia in different sectors, for C57BL/6 and Balb/C mice, by using nanoindentation.

The trabecular bone was found to be significantly stiffer and harder in the Balb/C mice compared to tissue extracted from C57BL/6 mice. Conversely, the cortical bone was stiffer in C57BL/6 mice, but similar values of H were found for the two strains. The difference in stiffness between the bone tissue extracted from the two strains is probably due to differences in local mineralization, which drives the elastic response of the tissue (Bala et al., 2011). Considering that the bone tissue was extracted from skeletally mature but young mice (16 weeks), the intrinsic heterogeneity of the mineralization of the bone structural units may play a role, especially in the most metabolically active trabecular bone. These differences should be considered when generating finite element models, fundamental for the reduction, and partial replacement of the use of mice in musculoskeletal research (Viceconti and Dall'Ara, 2019). Furthermore, significant differences were found between different regions of the tibia with the proximal cortical bone being less stiff than the central and distal regions for both strains. This result may be explained by the localization of younger and less mineralised tissue in the region closer to the growth plate (Buie et al., 2008; Willie et al., 2013). For C57BL/6 the cortical bone in the proximal region was found to be harder and stiffer (only a trend) than the trabecular bone in the proximal portion of the tibia. This is in line with previous results obtained on human tissue (Zysset et al., 1999). Conversely, for Balb/C no differences were found between mechanical properties of the proximal cortical and trabecular bone tissue. This difference may be due to the different growth of the mice and the local mineralization of the cortical and trabecular bone tissue.

Similar values of mechanical properties were found across the different sectors, with only significant differences for C57BL/6 mice between medial and posterior or anterior bone tissue. This difference may be due to the asymmetry in bone remodeling activities as observed with in vivo microCT imaging of the mouse tibia (Roberts et al., 2019). However, it needs to be further explored if this difference can be associated with the loading condition due to the effect of the curvature of the bone, as under physiological compressive loads a peak of compressive strains is located on the medial surface of the tibia below the tibio-fibular junction (Oliviero et al., 2018; Cheong et al., 2020). Nevertheless, this difference was not observed in Balb/C mice, which have a similar geometry of the mouse tibia but lower curvature. Interestingly a previous study performed on 24–25 weeks old mice that underwent voluntary exercise showed that the bone of the posterior and anterior sectors of the femur was stiffer (higher Er) than that in the medial and lateral sectors (Middleton et al., 2010). The differences between the results of these studies could be due to the different studied anatomical sites and to the different age of the animals.

Similar values of elastic modulus and hardness were reported for nanoindentations on C57BL/6 mouse tibia (Rodriguez-Florez et al., 2013): the differences in Er and H between the two studies were ~30% (C57BL/6 in the central region of the cortical bone), and could be explained by differences in the age of the animals (9 weeks old), methods of dehydration (in ethanol series vs. at room temperature), the indentation parameters (max load 8 mN), and the indentation position (only midshaft). Another study carried out on the cortical bone of C57BL/6 mice (Akhter et al., 2004) showed a difference of 17% in Eb and of 23% in H compared to this study, that may be due to different indentation parameters (faster loading/unloading rates).

In this study a similar nanoindentation procedure was used as reported by Casanova et al. (2017) for indentations on the mouse femur; while the indentation parameters were the same, the anatomical site, the age and the condition of the tissue were different. As expected, there was a difference of ~26% between the Er found by Casanova et al. (mouse femur, C57BL/6, female 22 weeks old, hydrated) and that found in this study (mouse tibia, C57BL/6, female 16 weeks old, dehydrated). Considering that previous studies reported that the reduced modulus and hardness are 20–30% lower in the rehydrated specimens (Wolfram et al., 2010), the differences in indentation properties may be mainly due to the different tissue conditions. Nevertheless, the difference in age and anatomical site may also play a role in the mineralization of the tissue and, therefore, in its local stiffness.

The main limitation of this study is the small sample size, which should be increased in the future in order to generalize the findings for different ages and gender. Nevertheless, the small sample size allowed for a detailed characterization of the trabecular bone and of the cortical bone in different regions and sectors. Moreover, bone has been considered as locally isotropic and indentations were performed only along the bone axial direction. It would be interesting in the future to extend these analyses on properties along the circumferential and radial directions (Dall'Ara et al., 2013).

Conclusion

In conclusion, the results of this study have highlighted that there are differences in local material properties measured with nanoindentation between the proximal and the other regions of the mouse tibia extracted from C57BL/6 and Balb/C female mice. These results should be considered when generating computational models of the mouse tibia and when evaluating the effect of novel interventions on the local material properties of the tibia, which should be analyzed in matched positions.

Data Availability Statement

The data related to this study can be accessed fully here: https://doi.org/10.15131/shef.data.11309678.

Author Contributions

SO, LC, and ED'A: data acquisition. VP: analysis and interpretation of the data. VP, SO, LC, and ED'A: drafting and/or revision of the article. All authors have reviewed and agreed upon the last version of the manuscript and involved in the conception and design of the study.

Funding

This study was funded by the Engineering and Physical Sciences Research Council (EPSRC, MultiSim project, EP/K03877X/1) and the National Centre for Replacement, Refinement and Reduction of Animals in Research (NC/R001073/1). VP received a student mobility fellowship from the School of Engineering and Architecture of the Università di Bologna.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors gratefully acknowledge Miss Dawn Bussey and the nanoLab for the access to the nanoindenter.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fbioe.2020.00478/full#supplementary-material

References

Akhter, M. P., Fan, Z., and Rho, J. Y. (2004). Bone intrinsic material properties in three inbred mouse strains. Calcif. Tissue Int. 75, 416–420. doi: 10.1007/s00223-004-0241-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Bala, Y., Depalle, B., Douillard, T., Meille, S., Clement, P., Follet, H., et al. (2011). Respective roles of organic and mineral components of human cortical bone matrix in micromechanical behavior: an instrumented indentation study. J. Mech. Behav. Biomed. Mat. 4, 1473–1482. doi: 10.1016/j.jmbbm.2011.05.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Bouxsein, M. L., Boyd, S. K., Christiansen, B. A., Guldberg, R. E., Jepsen, K. J., and Müller, R. (2010). Guidelines for assessment of bone microstructure in rodents using micro-computed tomography. J. Bone Miner Res. 25, 1468–1486. doi: 10.1002/jbmr.141

PubMed Abstract | CrossRef Full Text | Google Scholar

Buie, H. R., Moore, C. P., and Boyd, S. K. (2008). Postpubertal architectural developmental patterns differ between the L3 vertebra and proximal Tibia in three inbred strains of mice. J. Bone Miner Res. 23, 2048–2059. doi: 10.1359/jbmr.080808

PubMed Abstract | CrossRef Full Text | Google Scholar

Carnelli, D., Vena, P., Dao, M., Ortiz, C., and Contro, R. (2013). Orientation and size-dependent mechanical modulation within individual secondary osteons in cortical bone tissue. J. R. Soc. Interf. 10:20120953. doi: 10.1098/rsif.2012.0953

PubMed Abstract | CrossRef Full Text | Google Scholar

Casanova, M., Balmelli, A., Carnelli, D., Courty, D., Schneider, P., and Müller, R. (2017). Nanoindentation analysis of the micromechanical anisotropy in mouse cortical bone. R. Soc. Open Sci. 4:160971. doi: 10.1098/rsos.160971

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheong, V. S., Campos Marin, A., Lacroix, D., and Dall'Ara, E. (2020). A novel algorithm to predict bone changes in the mouse tibia properties under physiological loading conditions. Biomech. Model. Mechanobiol. 19, 985–1001. doi: 10.1007/s10237-019-01266-7

CrossRef Full Text | Google Scholar

Dall'Ara, E., Boudiffa, M., Taylor, C., Schug, D., Fiegle, E., Kennerley, A. J., et al. (2016). Longitudinal imaging of the ageing mouse. Mech. Ageing Dev. 160, 93–116. doi: 10.1016/j.mad.2016.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Dall'Ara, E., Grabowski, P., Zioupos, P., and Viceconti, M. (2015). Estimation of local anisotropy of plexiform bone: comparison between depth sensing micro-indentation and reference point indentation. J. Biomech. 48, 4073–4080. doi: 10.1016/j.jbiomech.2015.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Dall'Ara, E., Karl, C., Mazza, G., Franzoso, G., Vena, P., Pretterklieber, M., et al. (2013). Tissue properties of the human vertebral body sub-structures evaluated by means of microindentation. J. Mech. Behav. Biomed. Mater. 25, 23–32. doi: 10.1016/j.jmbbm.2013.04.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Heveran, C. M., Ortega, A. M., Cureton, A., Clark, R., Livingston, E., Bateman, T., et al. (2016). Moderate chronic kidney disease impairs bone quality in C57Bl/6J mice. Bone 86, 1–9. doi: 10.1016/j.bone.2016.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Holguin, N., Brodt, M. D., Sanchez, M. E., Kotiya, A. A., and Silva, M. J. (2013). Adaptation of Tibial structure and strength to axial compression depends on loading-history in both C57BL/6 and BALB/C mice. Calcif. Tissue Int. 93, 211–221. doi: 10.1007/s00223-013-9744-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiao, Y., Chiu, H., Fan, Z., Jiao, F., Eckstein, E., Beamer, W. G., et al. (2007). Quantitative trait loci that determine mouse tibial nanoindentation properties in an F2 population derived from C57BL/6J X C3H/HeJ. Calcif. Tissue Int. 80, 383–390. doi: 10.1007/s00223-007-9030-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Leong, P. L., and Morgan, E. F. (2008). Measurement of fracture callus material properties via nanoindentation. Acta Biomater. 4, 1569–1575. doi: 10.1016/j.actbio.2008.02.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Leong, P. L., and Morgan, E. F. (2009). Correlations between indentation modulus and mineral density in bone-fracture calluses. Integr. Comp. Biol. 49, 59–68. doi: 10.1093/icb/icp024

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, Y., Boudiffa, M., Dall'Ara, E., Liu, Y., Bellantuono, I., and Viceconti, M. (2017). Longitudinal effects of parathyroid hormone treatment on morphological, densitometric and mechanical properties of mouse tibia. J. Mech. Behav. Biomed. Mater. 75, 244–251. doi: 10.1016/j.jmbbm.2017.07.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Lucchini, R., Carnelli, D., Ponzoni, M., Bertarelli, E., Gastaldi, D., and Vena, P. (2011). Role of damage mechanics in nanoindentation of lamellar bone at multiple sizes: Experiments and numerical modelling. J. Mech. Behav. Biomed. Mater. 4, 1852–1863. doi: 10.1016/j.jmbbm.2011.06.002

CrossRef Full Text | Google Scholar

Lynch, M. A., Brodt, M. D., Stephens, A. L., Civitelli, R., and Silva, M. J. (2011). Low-magnitude whole-body vibration does not enhance the anabolic skeletal effects of intermittent PTH in adult mice. J. Orthop. Res. 29, 465–472. doi: 10.1002/jor.21280

CrossRef Full Text | Google Scholar

Middleton, K. M., Goldstein, B. D., Guduru, P. P., Waters, J. F., Kelly, S. A., Swartz, S. M., et al. (2010). Variation in within-bone stiffness measured by nanoindentaion in mice bred for high levels of voluntary wheel running. J. Anat. 216, 121–131. doi: 10.1111/j.1469-7580.2009.01175.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, L. M., Little, W., Schirmer, A., Sheik, F., Busa, B., and Judex, S. (2007). Accretion of bone quantity and quality in the developing mouse skeleton. J. Bone Min. Res. 22, 1037–1045. doi: 10.1359/jbmr.070402

PubMed Abstract | CrossRef Full Text | Google Scholar

Oliver, W. C., and Pharr, G. M. (1992). An improved technique for determining hardness and elastic modulus using load and displacement sensing indentation experiments. J. Mater. Res. 7, 1564–1583. doi: 10.1557/JMR.1992.1564

CrossRef Full Text | Google Scholar

Oliviero, S., Giorgi, M., and Dall'Ara, E. (2018). Validation of finite element models of the mouse tibia using digital volume correlation. J. Mech. Behav. Biomed. Mater. 86, 172–184. doi: 10.1016/j.jmbbm.2018.06.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Pathak, S., Swadener, J. G., Kalidindi, S. R., Courtland, H. W., Jepsenm, K. J., and Goldman, H. M. (2011). Measuring the dynamic mechanical response of hydrated mouse bone by nanoindentation. J. Mech. Behav. Biomed. Mater. 4, 34–43. doi: 10.1016/j.jmbbm.2010.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Pathak, S., Vachhania, S. J., Jepsen, K. J., Goldman, H. M., and Kalidindiad, S. R. (2012). Assessment of lamellar level properties in mouse bone utilizing a novel spherical nanoindentation data analysis method. J. Mech. Behav. Biomed. Mater. 13, 102–117. doi: 10.1016/j.jmbbm.2012.03.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Razi, H., Birkhold, A. I., Zaslansky, P., Weinkamer, R., Duda, G. N., Willie, B. M., et al. (2015). Skeletal maturity leads to a reduction in the strain magnitudes induced within the bone: a murine tibia study. Acta Biomater. 13, 301–310. doi: 10.1016/j.actbio.2014.11.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Roberts, B. C., Giorgi, M., Oliviero, S., Wang, N., Boudiffa, M., and Dall'Ara, E. (2019). The longitudinal effects of ovariectomy on the morphometric, densitometric and mechanical properties in the murine tibia: a comparison between two mouse strains. Bone. 127, 260–270. doi: 10.1016/j.bone.2019.06.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez-Florez, N., Garcia-Tunon, E., Mukadam, Q., Saiz, E., Oldknow, K. J., Farquharson, C., et al. (2015). An investigation of the mineral in ductile and brittle cortical mouse bone. J Bone Miner. Res. 30, 786–795. doi: 10.1002/jbmr.2414

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez-Florez, N., Oyen, M. L., and Shefelbine, S. J. (2013). Insight into differences in nanoindentation properties of bone. J. Mech. Behav. Biomed. Mater. 18, 90–99. doi: 10.1016/j.jmbbm.2012.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Silva, M. J., Brodt, M., Fan, Z., and Rho, J. Y. (2004). Nanoindentation and whole-bone bending estimates of material properties in bones from the senescence accelerated mouse SAMP6. J. Biomech. 37, 1639–1646. doi: 10.1016/j.jbiomech.2004.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Spiesz, E. M., Reisinger, A. G., Kaminsky, W., Roschger, P., Pahr, D. H., and Zysset, P. K. (2013). Computational and experimental methodology for site-matched investigations of the influence of mineral mass fraction and collagen orientation on the axial indentation modulus of lamellar bone. J. Mech. Behav. Biomed. Mater. 28, 195–205. doi: 10.1016/j.jmbbm.2013.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Viceconti, M., and Dall'Ara, E. (2019). From bed to bench: how in silico medicine can help ageing research. Mech. Ageing Dev. 177, 103–108. doi: 10.1016/j.mad.2018.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Webster, K. E., Feller, J. A., and Lambros, C. (2008). Development and preliminary validation of a scale to measure the psychological impact of returning to sport following anterior cruciate ligament reconstruction surgery. Phys. Ther. Sport. 9, 9–15. doi: 10.1016/j.ptsp.2007.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Willie, B. M., Birkhold, A. I., Razi, H., Thiele, T., Aido, M., Kruck, B., et al. (2013). Diminished response to in vivo mechanical loading in trabecular and not cortical bone in adulthood of female C57BL/6 mice coincides with a reduction in deformation to load. Bone 55, 335–346. doi: 10.1016/j.bone.2013.04.023

CrossRef Full Text | Google Scholar

Wolfram, U., Wilke, H.-J., and Zysset, P. (2010). Rehydration of vertebral trabecular bone: Influences on its anisotropy, its stiffness and the indentation work with a view to age, gender and vertebral level. Bone 46, 348–354. doi: 10.1016/j.bone.2009.09.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Zysset, P. K. (2009). Indentation of bone tissue: a short review. Osteoporos. Int. 20, 1049–1055. doi: 10.1007/s00198-009-0854-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Zysset, P. K., Guo, E. X., Hoffler, C. E., Moore, K. E., and Goldstein, S. A. (1999). Elastic modulus and hardness of cortical and trabecular bone lamellae measured by nanoindentation in the human femur. J. Biomech. 32, 1005–1012. doi: 10.1016/S0021-9290(99)00111-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: nanoindentation, bone, mouse tibia, indentation properties, reduced modulus, hardness

Citation: Pepe V, Oliviero S, Cristofolini L and Dall'Ara E (2020) Regional Nanoindentation Properties in Different Locations on the Mouse Tibia From C57BL/6 and Balb/C Female Mice. Front. Bioeng. Biotechnol. 8:478. doi: 10.3389/fbioe.2020.00478

Received: 10 March 2020; Accepted: 24 April 2020;
Published: 15 May 2020.

Edited by:

Stefan Scheiner, Vienna University of Technology, Austria

Reviewed by:

Maria Pastrama, Eindhoven University of Technology, Netherlands
Nicola Francesco Lopomo, University of Brescia, Italy

Copyright © 2020 Pepe, Oliviero, Cristofolini and Dall'Ara. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Enrico Dall'Ara, e.dallara@sheffield.ac.uk