Abstract
Fracture risk increases as type 2 diabetes (T2D) progresses. With the rising incidence of T2D, in particular early-onset T2D, a representative pre-clinical model is needed to study mechanisms for treating or preventing diabetic bone disease. Towards that goal, we hypothesized that fracture resistance of bone from diabetic TallyHO mice decreases as the duration of diabetes increases. Femurs and lumbar vertebrae were harvested from male, TallyHO mice and male, non-diabetic SWR/J mice at 16 weeks (n≥12 per strain) and 34 weeks (n≥13 per strain) of age. As is characteristic of this model of juvenile T2D, the TallyHO mice were obese and hyperglycemic at an early age (5 weeks and 10 weeks of age, respectively). The femur mid-shaft of TallyHO mice had higher tissue mineral density and larger cortical area, as determined by micro-computed tomography, compared to the femur mid-shaft of SWR/J mice, irrespective of age. As such, the diabetic rodent bone was structurally stronger than the non-diabetic rodent bone, but the higher peak force endured by the diaphysis during three-point (3pt) bending was not independent of the difference in body weight. Upon accounting for the structure of the femur diaphysis, the estimated toughness at 16 weeks and 34 weeks was lower for the diabetic mice than for non-diabetic controls, but neither toughness nor estimated material strength and resistance to crack growth (3pt bending of contralateral notched femur) decreased as the duration of hyperglycemia increased. With respect to trabecular bone, there were no differences in the compressive strength of the L6 vertebral strength between diabetic and non-diabetic mice at both ages despite a lower trabecular bone volume for the TallyHO than for the SWR/J mice at 34 weeks. Amide I sub-peak ratios as determined by Raman Spectroscopy analysis of the femur diaphysis suggested a difference in collagen structure between diabetic and non-diabetic mice, although there was not a significant difference in matrix pentosidine between the groups. Overall, the fracture resistance of bone in the TallyHO model of T2D did not progressively decrease with increasing duration of hyperglycemia. However, given the variability in hyperglycemia in this model, there were correlations between blood glucose levels and certain structural properties including peak force.
Keywords: Type 2 diabetes, fracture risk, bone quality, pentosidine, Raman spectroscopy, mechanical properties, micro-computed tomography
1. Introduction
Fracture risk is higher among individuals with diabetes compared to those without diabetes for a given T-score as determined by dual energy X-ray absorptiometry (DXA) [1, 2]. Multiple epidemiological studies have also found that the relative risk of fracture is higher among type 2 diabetics than age-matched non-diabetics [3–7]. This increase in fracture risk is most pronounced at the hip, and a meta-analysis by Janghorbani et al. estimated a 1.7 times greater risk of hip fracture for adults with type 2 diabetes (T2D) [3]. While risk factors unrelated to bone increase fracture incidence in T2D, elevated fracture risk is still observed when adjusting for diabetes-associated increase in the propensity to fall or in decreased muscle tone [3, 4, 8]. This elevated fracture risk is somewhat counterintuitive because a larger BMI and hyperinsulinemia in type 2 diabetics would generally favor a higher bone mass and strength, though the relation between obesity and femoral neck strength is complex [9]. The lack of an apparent loss in bone mineral density (BMD) with T2D suggests that the disease is negatively affecting bone quality [10].
Incidence of type 2 diabetes is rising. According to the CDC, an estimated 6.5% of people in the United States had diabetes in 2015 up from 5.5% in 2005 [11]. The increasing prevalence of T2D does not just occur among adults [12], as the population of obese children has increased [13, 14]. While this increase in obesity incidence may be leveling off in recent years, the continued rise in severe obesity could drive an increase in complications associated with juvenile-onset T2D [15]. Furthermore, as duration of diabetes increases, fracture risk appears to increase [6]. Thus, the increasing prevalence of T2D among juveniles may result in even higher relative risk of fracture later in life than current estimates. While there has yet to be a study examining this in juvenile-onset T2D, type 1 diabetes has been associated with increased fracture risk throughout lifespan [16].
There are multiple pathways through which T2D can lower bone quality and increase fracture risk [10, 17], but T2D is not necessarily causing a deterioration in cortical structure or trabecular architecture, at least not directly. Several cross-sectional studies involving high resolution, peripheral quantitative computed tomography (HR-pQCT) imaging of post-menopausal women did not find lower cortical thickness, lower estimated failure load in compression, lower trabecular thickness, or lower trabecular bone volume fraction for subjects with T2D compared to non-diabetic controls [18–20]. In one recent HR-pQCT study involving men and women (Framingham cohort), the cross-sectional area of the tibia mid-shaft, not the distal radius, was significantly lower (by 2.4%) for those with T2D compared to non-diabetics [21]. There were no significant differences in the trabecular architecture, trabecular volumetric BMD, or estimated compressive failure load between the groups at these peripheral sites, though cortical thickness was lower in T2D individuals with prior fracture [21]. With respect to microstructure, cortical porosity (Ct.Po) has been observed to be higher in the distal radius [18, 22, 23] and tibia mid-shaft [23] for those with T2D, especially if the T2D patient had suffered a fracture [21, 24, 25], but an elevated Ct.Po with T2D has not always been observed [19, 20, 26]. With respect to material properties of bone, studies using a microindentation tool, designed to assess the resistance of cortical bone at the tibia mid-shaft to impact loading, have found lower bone material strength index (BMSi) in post-menopausal patients with T2D compared to age-matched non-diabetic women [19, 20, 26]. At the matrix level of the hierarchical organization of bone, an increase in advanced glycation end-products (AGEs) caused by elevated glucose levels could also result in more brittle bones [27, 28].
Various rodent models have been used for investigating diabetic bone disease, but as previously reviewed [29], the effect of T2D on fracture resistance has only been reported for a few mouse models and done so with several limitations. For example, in a MKR transgenic mouse model of early onset T2D (hyperglycemia by 6–8 weeks), the bones of MKR mice are structurally weaker than non-diabetic controls (FVB/N strain). Unlike humans with T2D, these mice have slender bones, are lean, and their insulin resistance is due to specific gene mutations, namely the loss of insulin and insulin-like growth factor 1 (IGF-1) receptors in skeletal muscle [30]. However, such gene mutations are rarely the clinical cause of T2D. Overcoming this limitation, the KK-Ay mouse is a polygenic model developing hyperglycemia spontaneously by 8 weeks [31]. When compared to non-diabetic male ddY mice, male KK-Ay mice had lower areal BMD at the proximal femur, not at the mid-shaft, by 18 weeks of age [32]. However, when using non-diabetic C57BL/6 for controls, Xu et al. observed lower volumetric BMD and lower structural strength in bending of the tibia mid-shaft for the diabetic KK-Ay mice [33]. Yet another study comparing male KK-Ay to male C57BL/6 mice observed higher areal BMD of the whole femur, lower volumetric BMD of trabecular bone in the distal femur, and higher volumetric BMD of cortical bone in the distal femur [34]. To the best of our knowledge, there is no study reporting on the fracture resistance phenotype of KK-Ay/a with respect to a/a littermate controls. Another commercially available, polygenic, spontaneous mouse model for T2D is the TallyHO strain. This mouse develops hyperglycemia before skeletal maturity [35] and is obese compared to its recommended control strain, SWR/J [36, 37]. As previously reported by Devlin et al., the femur diaphysis is structurally stronger in bending but brittle (lower post-yield displacement) for the diabetic TallyHO compared to non-diabetic SWR mice at 17 weeks of age [36].
To determine whether the TallyHO mouse can be a model of diabetic bone disease that represents what is known about the disease in humans (i.e., shows increase in fracture risk with increase in duration of diabetes), we hypothesize that fracture resistance decreases as the duration of diabetes increases beyond skeletal maturity. We analyzed bones from both TallyHO mice and SWR/J controls at 16 weeks (short duration) and 34 weeks of age (long duration) using multiple techniques in order to establish whether bone parameters associated with greater bone fragility in humans. Specifically, we determined whether i) an increase in cortical porosity, ii) a deterioration in trabecular architecture, iii) an accumulation of matrix AGEs, and iv) alterations in the structure of collagen I reflective of crosslinking also accompany a T2D-related decrease in the mechanical properties of the bone in this mouse model.
2. Materials and Methods
2.1. Animal care and tissue collection
TallyHO/Jng (n=30) and SWR/J (n=30), male mice were purchased from Jackson Laboratory (Bar Harbor, ME). Female mice were not included because female TallyHO mice do not develop overt diabetes [35]. Animals were fed standard chow 5L0D with 13% kcal from fat (LabDiet, St Louis, MO) up until 16 weeks of age. Subsequently, all animals were switched to a 12450B purified diet with 10% kcal from fat (Research Diet, Inc., News Brunswick, NJ). Weekly, animals were weighed and their non-fasting glucose levels measured using a OneTouch UltraMini glucometer (LifeScan Inc., Milpitas, CA). Glycated hemoglobin (HbA1c) was measured for a sub-set of mice at 34 weeks of age using a Bayer DCA 2000 system by the VUMC Metabolic Phenotyping Core. Immediately prior to sacrifice, blood was collected by cardiac exsanguination while animals were under ketamine/xylazine anesthesia. Animals were either euthanized at 16 weeks of age or at 34 weeks of age. Due to 6 premature deaths from fungal nephritis (unexpected), 10 additional TallyHO mice were ordered. Mice were then housed in sterile cages. All animal protocols were approved by the local Institutional Animal Care and Use Committee. One SWR/J mouse was excluded from the study (34-week group) because lymphoma was observed at necropsy. Femurs and L6 vertebrae were frozen in phosphate buffer solution (PBS) for micro-computed tomography analysis (μCT) and biomechanical testing. The posterior side of the right femur from each mouse was micro-notched at the mid-shaft using first a low speed diamond embedded saw, and then a razorblade coated with a diamond solution.
2.2. Micro-computed tomography analysis
Both femurs and the L6 vertebra were imaged with high-resolution μCT scanner (μCT50; Scanco Medical AG, Brüttisellen, Switzerland). The regions of interest (ROIs) for the left femurs included the mid-shaft (1.86 mm) at the point of loading (described in subsequent section) and distal metaphysis (3.72 mm) extending approximately 25% below the growth plate. The scan parameters were: 70 kVp/114 µA, 0.5 Al filter, beam hardening (BH) correction, 1160 samples per 500 projections per 180° rotation, 600 ms integration time, and 6 µm isotropic voxel size. For L6 VBs, the ROI was the bone between the cartilaginous end-plates. Scan parameters were: 55 kVp/200 µA, 0.5 mm Al filter, beam-hardening correction, 500 samples per 500 projections per 180° rotation, 1200 ms integration time, and 12 µm isotropic voxel size. The mid-shaft of each notched, right femur was imaged with another μCT scanner (μCT40; Scanco Medical AG, Brüttisellen, Switzerland). The scan parameters were: 70 kVp/114 µA, 0.5 mm Al filter, beam-hardening correction, 2048 samples per 1000 projections per 180° rotation, 300 ms integration time, 6 µm isotropic voxel size. Images were analyzed and contoured as described previously [38]. Thresholds varied among bone type: i) for the intact left femur diaphysis, global threshold was 912.6 mgHA/cm3, ii) for the cortical compartment, an inverted threshold setting of 816.0 mgHA/cm3 was also used to determine porosity (Ct.Po), iii) for the trabecular bone of the left femur metaphysis, global threshold was 393.2 mgHA/cm3, iv) for the notched right femur, it was 863.1 mgHA/cm3, and v) for trabecular bone in the vertebral body, it was 514.0 mgHA/cm3 [38]. A sigma of 0.2 and support of 1 (Gaussian filter) were used with all thresholds to suppress image noise.
2.3. Mechanical testing
2.3.1 Three-point bend testing of left femurs
Hydrated left femurs were loaded to failure in a three-point (3pt) bending at a displacement rate of 3 mm/min using a servo-hydraulic material testing system (DynaMight 8841, Instron, Norwood, MA) fitted with a 100 N load cell (Honeywell, OH, Model no. 060-C863-02). All femurs were placed on the lower supports with a span of 8 mm such that the anterior side was down and the medial side was forward. Using a custom Matlab script (Mathworks, Natick, MA), the force vs. displacement curve (sampled at 50 Hz during 3pt bending) was processed to determine structural properties (stiffness or slope, peak force, yield force, post-yield displacement, work-to-failure) [38], and then material properties (bending strength, peak moment, toughness, modulus, etc.) were estimated using μCT-derived structural parameters as previously described [39].
2.3.2 Fracture toughness testing
Notched right femurs were also tested in 3pt bending (DynaMight 8841, Instron, Norwood, MA) using the 100 N load cell while hydrated with PBS, but the span was adjusted to four times the mean outer anterior–posterior diameter (i.e., in the direction of loading) rounded to the nearest mm. The loading rate of these femurs was 0.06 mm/min. All tests were recorded using a high resolution DSLR camera (Canon EOS 7D) fitted with a macro lens to qualitatively monitor the crack propagation and to discard outliers if any. Again, force vs. displacement curves were processed using custom Matlab script to calculate the critical stress intensity factor, Kc,initial, using the peak force during the load-to-failure test and the initial notch angle (θ was determined using μCT images) as previously described [40]. Cracking toughness was measured by dividing the work-to-failure (Wf) by Ct.Ar and adjusted for the given span [38].
2.3.3 Axial compression testing
Each hydrated L6 vertebra was loaded to failure at 3 mm/min between two custom compression platens with a moment relief [38]. VB strength was defined as the peak force. Axial stress was determined by the peak force divided by the cross-sectional area of the VB. Cross-sectional area was estimated by dividing the segmented bone volume of the VB (transverse processes transected) by the axial length of the ROI.
2.4. Raman spectroscopy
Raman spectra were collected from right femurs after fracture toughness testing by focusing a 830 nm laser several millimeters away from broken surface. Using a confocal Raman microscope (Invia, Renishaw, Hoffman Estates, IL), an average of 10 consecutive spectra per bone (each collected for 5 s duration) was acquired through a 20X objective (NA=0.40). From the averaged Raman spectrum per bone sample, the background fluorescence was subtracted using a 4th order polynomial curve. Subsequently, spectra were smoothed using a 4th order Savitzky-Golay filter (LabSpec software, Horiba Jobin Yvon, Edison, NJ) to the signal to noise ratio. Peak ratios of ν1PO4/Amide I, ν1PO4/Amide III, ν1PO4/Proline, and CO3/ν1PO4 [41] as well as Amide I sub-peak ratios 1670/1640, 1670/1690, and 1670/1610 were calculated as previously described [42] The crystallinity was calculated as the inverse of the width of the ν1PO4 peak at half maximum.
2.5. High Performance Liquid Chromatography (HPLC) and fAGE
The proximal and distal half of broken left femurs were flushed, weighed separately (wet mass) and separately demineralized in 20% EDTA at 4 °C. After demineralization, the samples were dehydrated for 24 hours at room temperature under a vacuum. Samples were then hydrolyzed with 6 N HCl at 110 °C for 20 hours. Hydrochloric acid was removed using a SpeedVac Concentrator System (ThermoFisher). Samples were filtered through 0.2 µm syringe filters (Fisher) and then split so as to have ≈1 mg of dry weight of bone for each assay. The proximal half was used for crosslink analysis. The crosslinks pyridinoline (PYD) and pentosidine (PE) were measured with a high performance liquid chromatography (HPLC) system (Beckman Coulter System Gold 126, Brea, CA) involving a silica-based, reversed phase C18 column (Waters Spherisorb® 5µm ODS2, Milford, MA) column and fluorescence detector (Waters 2475 Multi λ Fluorescence Detector) as we previously described [41]. Collagen was determined based on hydroxyproline measurements using a HPLC assay with a Waters PicoTag column (Waters, Milford, MA) and a UV detector (Beckman Coulter 168 Detector, Brea, CA) as previously described [41]. Crosslinks were calculated based on a standard curve using standards of known concentrations (PYD: Quidel®, TECOmedical group, Switzerland and PE: International Maillard Reaction Society).
The hydrolyzed samples from the distal half of the femur were suspended in 350 µL of 0.1 M H2SO4. Samples were compared to a standard of quinine sulfate suspended in 0.1 M H2SO4 as previously described [43]. 150 µL was pipetted in duplicate for each sample and standard into a black-bottom 96 well plate. Fluorescence was measured with an excitation wavelength of 370 nm and an emission wavelength of 440 nm. Fluorescent advanced glycation end-products (fAGEs) were calculated based on the standard curve and normalized to an estimated measurement of collagen based on the ratio of mol of collagen to wet mass of the proximal half.
2.6 Serum analysis
Serum was separated by centrifugation in serum collection tubes. Insulin was measured using a radioimmunoassay (RIA) from Millipore and was performed by the VUMC Hormone Assay and Analytical Services Core. P1NP and TRAcP-5b were measured in serum using Rat/Mouse ELISAs (Immunodiagnostic Systems, Inc., Fountain Hills, AZ) [44] according to the manufacturer’s protocols.
2.7 Statistical Analysis
Instead of two-way analysis of variance, which assumes normality and homoscedasticity, general linear models (GLMs) with bootstrapping (500 replicates) were analyzed (STATA, College Station, TX) to determine whether each bone property depended on mouse strain, age, and their interaction (inter.), appropriate post-hoc comparisons were done using Mann-Whitney tests (Matlab, MathWorks, Natick, MA) with a Holm-Sidak correction for 2 multiple comparisons (e.g., TallyHO vs. SWR/J within 16 weeks and TallyHO vs. SWR/J within 34 weeks when strain was a significant factor). Subsequently, body weight, calculated as an average over 10 weeks to 16 weeks or over 24 weeks to 34 weeks of age, was included as a covariate in the STATA GLMs to determine if body weight was the driving factor for strain differences in bone properties. These analyses of covariance were separated out by age group to limit the number of factors being analyzed at once. For each group, correlations between average blood glucose levels and bone properties were determined using linear regression analysis with bootstrapping (500 replicates). Averaged blood glucose was calculated from 8 weeks to 16 weeks for mice at 16 weeks of age and from 8 weeks to 33 weeks for mice at 34 weeks of age. Longitudinal body weight and glucose comparisons between strains were done at individual time points using Mann-Whitney.
3 Results
3.1 TallyHO mice weighed significantly more than control mice and exhibited variable hyperglycemia
TallyHO mice had a higher body weight than SWR/J mice as early as 5 weeks of age (Figure 1A), and so the body weight, calculated by taking the average over the last 6 weeks or 10 weeks of life, was significantly higher for TallyHO than for SWR/J mice at both ages (Table 1). Diabetes, as defined by persistent non-fasting glucose levels above 250 mg/dL, a common threshold in rodent studies [45], occurred for most TallyHO mice around 10 weeks of age (Figure 1B). One TallyHO mouse (green symbols in Figure 1B) was excluded from the study due to inconsistent hyperglycemia. Eight TallyHO mice experienced significant weight loss and were euthanized before the end of the study. These premature deaths were likely due to complications of overt, uncontrolled diabetes (>500 mg/dL) and occurred between 20 and 32 weeks of age. Glucose levels were higher in TallyHO mice compared to SWR/J mice, as expected, but the degree of hyperglycemia in TallyHO mice did not progressively increase with age (Figures 1B and 2A). Given the variability in non-fasting glucose measurements, HbA1c was measured for a 10–12 mice per group at 34 weeks. HbA1c was 33.3% higher in the TallyHO mice compared to SWR/J controls (Table 1), and this measure of glycated hemoglobin correlated with non-fasting glucose levels in TallyHO mice (Figure 2B).
Table 1.
16 weeks | 34 weeks | GLM p-values | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Property | Unit | SWR/J (n≥7) | TallyHO (n≥7) | SWR/J (n≥11) | TallyHO (n≥10) | Strain | Age | Interaction | |||
Averaged body weight | g | 24.6 ± 0.9 | 34.9 ± 2.4 | # | 30.2 ± 1.5 | a | 43.7 ± 5.6 | #,b | <0.0001 | <0.0001 | 0.096 |
HbA1c | % | 3.9 ± 0.2 | 5.2 ± 1.3 | # | N/A | ||||||
Insulin | ng/mL | 0.278 ± 0.239 | 0.836 ± 0.565 | 0.129 ± 0.085 | 1.80 ± 1.21 | # | 0.013 | 0.109 | 0.011 | ||
P1NP | ng/mL | 23.9 ± 6.5 | 12.3 ± 2.9 | # | 22.3 ± 5.2 | 10.8 ± 5.7 | # | <0.0001 | 0.577 | 0.976 | |
TRAcP-5b | U/L | 11.58 ± 3.41 | 8.95 ± 3.16 | 6.33 ± 2.20 | a | 7.08 ± 1.21 | 0.174 | 0.001 | 0.090 |
: adjusted p-value less than 0.05 for strain comparison within age group.
: adjusted p-value less than 0.05 for age comparison within strain.
3.2 Mechanical properties of bone from TallyHO mice did not progressively worsen with age
To determine whether fracture resistance at the material level (i.e., independent of bone structure) decreased with the duration of T2D, we assessed multiple mechanical properties of cortical bone. For intact femur diaphysis, bending strength, or the estimated peak stress endured by the intact femur diaphysis, was higher for diabetic mice at 16 weeks of age (Figure 3A), but not at 34 weeks of age. Toughness was lower for the TallyHO mice compared to non-diabetic controls, but it did not progressively worsen with age as anticipated (Figure 3B). Similarly, post-yield deflection was lower in the diabetic TallyHO compared to the control SWR/J mice, irrespective of age (Table 2). Body weight was a contributing factor to only bending strength and only at 34 weeks, but this did not change the lack of a T2D-related difference at this age (Supplemental Table 2).
Table 2.
16 weeks | 34 weeks | GLM p-values | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Property | Unit | SWR/J (n≥13) | TallyHO (n≥12) | SWR/J (n≥15) | TallyHO (n≥13) | Strain | Age | Interaction | |||
Modulus | GPa | 12.4 ± 0.8 | 12.8 ± 1.5 | 13.1 ± 1.1 | 13.1 ± 1.3 | 0.432 | 0.062 | 0.522 | |||
PYD | mm | 0.391 ± 0.081 | 0.275 ± 0.123 | # | 0.292 ± 0.072 | a | 0.187 ± 0.065 | # | 0.006 | 0.001 | 0.833 |
Yield Force | N | 16.6 ± 1.4 | 19.1 ± 1.7 | # | 21.1 ± 2.3 | a | 23.2 ± 2.4 | b | <0.0001 | <0.0001 | 0.711 |
Peak Force | N | 17.9 ± 1.4 | 20.5 ± 1.7 | # | 24.4 ± 1.9 | a | 27.3 ± 2.6 | #,b | <0.0001 | <0.0001 | 0.819 |
Stiffness | N/mm | 112 ± 9 | 115 ± 10 | 154 ± 12 | a | 172 ± 18 | #,b | 0.417 | <0.0001 | 0.026 | |
Work-to-failure | Nmm | 8.07 ± 0.97 | 7.33 ± 2.01 | 8.77 ± 1.54 | 7.12 ± 1.68 | 0.248 | 0.168 | 0.320 |
: adjusted p-value less than 0.05 for strain comparison within age group.
: adjusted p-value less than 0.05 for age comparison within strain.
When testing the notched right femurs for the ability of bone to resist crack initiation, Kc,initial trended towards being lower in diabetic mice (Figure 3C), but this reduction was not statistically significant. Cracking toughness, or the energy dissipated during crack propagation, was not different between diabetic and control mice. However, cracking toughness was significantly lower at 34 weeks compared to 16 weeks in non-diabetic mice but not in diabetic TallyHO mice (Figure 3D). Body weight was not a significant contributor to either fracture toughness parameter, while strain became a significant explanatory variable (p=0.038) of cracking toughness at 34 weeks when body weight (p=0.178) was included as a covariate (Supplemental Table 2).
3.3 The TallyHO femurs were structurally stronger than SWR/J femurs but this greater strength was not independent of body weight
With respect to fracture resistance at the whole-bone level (i.e., dependent on bone structure), the peak force endured by the femur was higher for TallyHO than for SWR/J mice. This is likely due to the cross-sectional area of the femur diaphysis (Ct.Ar) and the cortical thickness (Ct.Th) being larger for diabetic mice than non-diabetic mice at both ages (Figure 4A and Figure 4B). However, minimum moment of inertia (Imin) was higher in diabetic mice only at 34 weeks of age (Figure 4C). The endosteal perimeter (Ec.Pm) was lower for TallyHO mice at 16 weeks, but this increased with age for TallyHO mice so as to not be lower at 34 weeks compared to the SWR/J mice. Cortical porosity was lower in diabetic mice than non-diabetic mice at both ages and did not change with duration of diabetes (Figure 5A). Body weight was a significant explanatory variable of Imin, Ct.Ar, and periosteal perimeter (Ps.Pm) (Supplemental Table 4) for both age groups. However, body weight significantly contributed to cortical thickness only at 16 weeks and to Ec.Pm at 34 weeks. Body weight was also significant factor in the linear models explaining peak force, yield force, and stiffness at both ages. Furthermore, when body weight was included as a covariate, the T2D-related difference in the peak force and the yield force was no longer significant.
3.4 Lower trabecular bone volume did not result in lower lumbar vertebra strength for the TallyHO mice compared to the control mice
In order to estimate the contribution of trabecular bone to whole-bone strength, compression tests of the L6 vertebra were performed. Neither strain nor age affected peak compressive force (Table 3). Despite the lack of difference in VB strength between the strains, trabecular bone volume fraction (BV/TV) of the vertebra was lower for the diabetic TallyHO compared to the non-diabetic mice at 34 weeks. As such, the apparent axial stress was higher for the TallyHO mice at both ages (Table 3). Similar strain-related differences in trabecular micro-architecture were observed in the distal femur metaphysis, though BV/TV was lower at 16 weeks for the TallyHO than for the SWR/J mice (Table 4). Body weight was a significant explanatory variable of BV/TV at 16 weeks of age for both the vertebra and femur, but strain remained a significant factor. Body weight affected only the strain-related difference in vertebral Tb.TMD at 16 weeks. It was not a significant contributor to peak force or any other compressive mechanical parameter (Supplemental Table 3).
Table 3.
16 weeks | 34 weeks | GLM p-values | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Property | Unit | SWR/J (n≥13) | TallyHO (n≥12) | SWR/J (n≥16) | TallyHO (n≥13) | Strain | Age | Interaction | |||
BV/TV | % | 27.0 ± 2.2 | 25.0 ± 4.1 | 28.0 ± 2.0 | 23.0 ± 3.0 | # | 0.101 | 0.330 | 0.044 | ||
Tb.TMD | mgHA/cm3 | 919 ± 9 | 968 ± 20 | # | 951 ± 5 | a | 995 ± 19 | #,b | <0.0001 | <0.0001 | 0.380 |
ConnD | mm−3 | 226 ± 30 | 182 ± 20 | # | 197 ± 19 | a | 186 ± 42 | <0.0001 | 0.001 | 0.040 | |
SMI | 0.315 ± 0.276 | 0.742 ± 0.342 | # | 0.294 ± 0.211 | 1.003 ± 0.236 | # | 0.001 | 0.866 | 0.080 | ||
Tb.N | mm−1 | 4.79 ± 0.24 | 4.66 ± 0.22 | 4.89 ± 0.29 | 4.77 ± 0.50 | 0.158 | 0.335 | 0.925 | |||
Tb.Th | mm | 0.054 ± 0.002 | 0.058 ± 0.005 | # | 0.055 ± 0.001 | 0.057 ± 0.004 | 0.008 | 0.048 | 0.268 | ||
Tb.Sp | mm | 0.212 ± 0.013 | 0.211 ± 0.011 | 0.201 ± 0.013 | 0.206 ± 0.024 | 0.806 | 0.014 | 0.447 | |||
Axial stress | MPa | 37.6 ± 4.9 | 44.8 ± 5.3 | # | 38.5 ± 8.3 | 44.0 ± 3.3 | # | <0.0001 | 0.194 | 0.245 | |
Peak force | N | 29.3 ± 3.6 | 30.3 ± 4.1 | 28.0 ± 6.4 | 26.0 ± 2.8 | 0.553 | 0.404 | 0.207 | |||
Work-to-peak force | Nmm | 6.25 ± 1.58 | 5.97 ± 2.60 | 5.41 ± 2.30 | 4.56 ± 1.87 | 0.732 | 0.237 | 0.620 |
: adjusted p-value less than 0.05 for strain comparison within age group.
: adjusted p-value less than 0.05 for age comparison within strain.
Table 4.
16 weeks | 34 weeks | GLM p-values | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Property | Unit | SWR/J (n≥13) | TallyHO (n≥12) | SWR/J (n≥16) | TallyHO (n≥13) | Strain | Age | Interaction | |||
Diaphysis | |||||||||||
Tt.Ar | mm2 | 1.49 ± 0.05 | 1.45 ± 0.09 | 1.66 ± 0.09 | a | 1.71 ± 0.06 | b | 0.114 | <0.0001 | 0.016 | |
Ct.Po.Dn | mm−3 | 2.16 ± 0.22 | 1.51 ± 0.20 | # | 1.57 ± 0.15 | a | 1.14 ± 0.14 | #,b | <0.0001 | <0.0001 | 0.038 |
Length | mm | 14.1 ± 0.2 | 14.8 ± 0.2 | # | 14.8 ± 0.7 | a | 15.3 ± 0.3 | #,b | <0.0001 | <0.0001 | 0.295 |
Ps.Pm | mm | 4.65 ± 0.08 | 4.64 ± 0.14 | 4.93 ± 0.13 | a | 5.02 ± 0.10 | b | 0.812 | <0.0001 | 0.100 | |
Ec.Pm | mm | 3.23 ± 0.06 | 2.93 ± 0.21 | # | 3.33 ± 0.19 | 3.32 ± 0.15 | b | <0.0001 | 0.047 | 0.001 | |
Distal Metaphysis | |||||||||||
BV/TV | % | 20.3 ± 2.8 | 10.0 ± 2.5 | # | 10.3 ± 2.6 | a | 5.6 ± 1.6 | #,b | <0.0001 | <0.0001 | <0.0001 |
Tb.TMD | mgHA/cm3 | 969 ± 11 | 981 ± 18 | 1027 ± 16 | a | 1038 ± 23 | b | 0.104 | <0.0001 | 0.531 | |
ConnD | mm−3 | 347 ± 55 | 170 ± 67 | # | 122 ± 51 | a | 63 ± 22 | #,b | <0.0001 | <0.0001 | <0.0001 |
SMI | 1.08 ± 0.28 | 2.39 ± 0.35 | # | 2.01 ± 0.22 | a | 2.94 ± 0.24 | #,b | <0.0001 | <0.0001 | 0.012 | |
Tb.N | mm−1 | 5.31 ± 0.31 | 3.87 ± 0.24 | # | 3.37 ± 0.55 | a | 3.08 ± 0.47 | b | <0.0001 | <0.0001 | <0.0001 |
Tb.Th | mm | 0.046 ± 0.002 | 0.048 ± 0.005 | 0.048 ± 0.002 | 0.049 ± 0.008 | 0.206 | 0.019 | 0.897 | |||
Tb.Sp | mm | 0.186 ± 0.012 | 0.256 ± 0.016 | # | 0.305 ± 0.058 | a | 0.329 ± 0.060 | b | <0.0001 | <0.0001 | 0.039 |
: adjusted p-value less than 0.05 for strain comparison within age group.
: adjusted p-value less than 0.05 for age comparison within strain.
3.6 The bone matrix of diabetic TallyHO mice had altered secondary structure of collagen I and higher mineralization compared to control bone matrix
To identify a potential cause of the brittleness phenotype in TallyHO mice, various matrix characteristics were assessed. As measured by Raman spectroscopy, all 3 sub-peak ratios of the Amide I band that reflects the secondary structure of collagen I – 1670/1640, 1670/1610, and 1670/1690 (cm−1) – were higher for diabetic than for the non-diabetic mice (Table 5). There was no significant difference in PYD, a mature enzymatic crosslink, between strains. Additionally, matrix pentosidine concentration was not altered with either diabetes or age (Table 5). fAGEs were not significantly different between the strains, and significantly increased with age in only SWR/J mice (Table 5). Raman spectroscopy confirmed the higher mineralization in cortical bone of TallyHO mice (Figure 4D) with multiple measurements of the mineral-to-matrix ratio (ν1PO4/Proline and ν1PO4/Amide I) being higher for the diabetic bone than for the non-diabetic bone at both 16 weeks and 34 weeks of age. However, ν1PO4/Amide III was only higher for the TallyHO mice than for the SWR/J mice at 34 weeks (Table 5). As for characteristics of the mineral phase, crystallinity increased with age for both strains (Table 5), but did not change with diabetes with respect to controls. CO3/ν1PO4 was lower for diabetic mice at both ages, but did not further progress with age (Table 5). Body weight significantly explained ν1PO4/Proline and crystallinity at 16 weeks, but not at 34 weeks, and strain was still a significant factor. Interestingly, the strain-related difference in the Amide I sub-band peak ratios at 34 weeks was no longer significant when body weight was included as a covariate (Supplemental Table 5).
Table 5.
16 weeks | 34 weeks | GLM p-values | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Property | Unit | SWR/J (n≥12) | TallyHO (n≥12) | SWR/J (n≥15) | TallyHO (n≥13) | Strain | Age | Interaction | |||
Raman | - | ||||||||||
ν1PO4/Amide I | - | 28.6 ± 2.5 | 31.6 ± 4.0 | # | 30.7 ± 4.1 | 38.3 ± 3.7 | #,b | 0.023 | 0.109 | 0.024 | |
ν1PO4/Amide III | - | 26.1 ± 2.6 | 21.9 ± 4.9 | 18.2 ± 3.8 | a | 14.6 ± 4.5 | #,b | 0.007 | <0.0001 | 0.781 | |
ν1PO4/Pro | - | 16.1 ± 0.8 | 17.6 ± 2.4 | # | 18.3 ± 3.0 | 23.5 ± 4.4 | #,b | 0.041 | 0.005 | 0.028 | |
CO3/ν1PO4 | - | 0.160 ± 0.003 | 0.152 ± 0.007 | # | 0.156 ± 0.006 | 0.146 ± 0.010 | # | 0.001 | 0.077 | 0.412 | |
Crystallinity | - | 0.054 ± 0.0 | 0.054 ± 0.001 | 0.056 ± 0.003 | a | 0.056 ± 0.001 | b | 0.174 | 0.014 | 0.880 | |
1670/1640 | - | 1.55 ± 0.05 | 1.76 ± 0.18 | # | 1.65 ± 0.18 | 2.01 ± 0.33 | # | <0.0001 | 0.040 | 0.198 | |
1670/1690 | - | 1.78 ± 0.07 | 1.89 ± 0.06 | # | 2.13 ± 0.14 | a | 2.29 ± 0.20 | #,b | <0.0001 | <0.0001 | 0.400 |
1670/1610 | - | 2.89 ± 0.20 | 4.25 ± 1.84 | # | 3.36 ± 1.13 | 5.87 ± 2.52 | # | 0.016 | 0.103 | 0.209 | |
HPLC | - | ||||||||||
PYD | mol/mol | 0.123 ± 0.059 | 0.138 ± 0.069 | 0.215 ± 0.053 | a | 0.226 ± 0.048 | b | 0.547 | <0.0001 | 0.894 | |
Pentosidine | mmol/mol | 203 ± 120 | 141 ± 49 | 135 ± 66 | 151 ± 98 | 0.087 | 0.082 | 0.111 | |||
Fluorescence | |||||||||||
fAGEs | ng/mg | 92 ± 31 | 118 ± 44 | 127 ± 34 | a | 129 ± 33 | 0.095 | 0.004 | 0.217 |
: adjusted p-value less than 0.05 for strain comparison within age group.
: adjusted p-value less than 0.05 for age comparison within strain.
3.7 Body weight and several bone structural parameters of the TallyHO mice negatively correlated with averaged blood glucose levels
Given the high variability in blood glucose levels within the TallyHO group, we tested for significant relationships between hyperglycemia and bone properties. First, averaged blood glucose levels negatively correlated with body weight for the TallyHO mice at 34 weeks (Figure 6A) indicating that mice with severe hyperglycemia either failed to gain weight or lost weight. Over the long duration of T2D, P1NP, a marker of bone formation, also negatively correlated with blood glucose levels at 34 weeks (Figure 6B) suggesting that poorly controlled diabetes suppressed bone formation. P1NP was lower for TallyHO mice compared to SWR/J mice at both ages (Table 1). Although the TallyHO femur diaphysis was stronger, peak force (Figure 6C) and Ct.Ar (Figure 6D) decreased as hyperglycemia increased in these mice. At the material level, blood glucose levels correlated with toughness at 16 weeks in TallyHO mice such that those with high blood glucose levels unexpectedly had higher toughness (Supplemental Table 7). On the other hand, glucose levels negatively correlated with cracking toughness at 16 weeks of age for TallyHO mice (Supplemental Table 7). No such correlations were found among 34-week-old TallyHO mice. For the bone matrix properties, glucose negatively correlated with 1670/1640 (r = −0.597, p = 0.009) and 1670/1610 (r = −0.555, p = 0.022) ratios in TallyHO mice at 34 weeks, albeit the correlations were weak. Furthermore, when looking at the mineral phase, glucose levels correlated with crystallinity in TallyHO animals at 34 weeks. Surprisingly, pentosidine levels in the bone matrix did not correlate with blood glucose levels (Supplemental Table 10) nor did fAGEs levels at 34 weeks (Supplemental Table 10).
4. Discussion
There is a need for rodent models that mimic diabetic bone disease in humans because such animal models can be used in pre-clinical studies to prevent the diabetes-related decrease in fracture resistance. Moreover, by having an animal model in which BMD is not lower in the T2D rodents compared to non-diabetic rodents but instead the fracture resistance is progressively worse with diabetes duration, new pathogenic mechanisms leading to increased fracture risk could be identified as potential therapeutic targets as well as new matrix-sensitive tools for diagnosing high fracture risk could be assessed. While overall volumetric BMD was not lower in the diabetic TallyHO mice compared to their recommended non-diabetic strain, none of the mechanical properties, whether determined at the whole-bone level or the material level, decreased as the duration of T2D progressed. Thus, this model of juvenile-onset T2D does not mimic the likely increase in fracture risk that occurs as the duration in type 2 diabetes increases among humans. Nonetheless, a subset of TallyHO who experience severe hyperglycemia may experience dysfunction in other organs (e.g., kidney) that contribute to a loss of fracture resistance.
The TallyHO mouse strain was developed from selectively breeding male mice that presented with hyperglycemia within a colony of Theiler Original mice. In the initial study describing the development of this mouse model of T2D [46], male mice at 26 weeks were overweight with an average body mass of 45 ± 2 g (mean ± SEM) and hyperglycemic with a non-fasting, plasma glucose levels of 544 ± 24 mg/dL (mean ± SEM). Compared to C57BL/6J mice (arbitrarily chosen), female TallyHO mice were also obese but were not hyperglycemic [46]. In a follow-up study by the Jackson Laboratory, the male TallyHO mice had significantly higher body weight by 4 weeks and were diabetic (plasma glucose levels above 250 mg/dL) by 10 weeks of age compared to male C57BL/6J mice [35]. These differences were similar to the present study comparing the body mass and glucose levels of the TallyHO mice to non-diabetic, male SWR/J mice. Because the SWR/J strain has greater genetic similarity to the TallyHO strain (86.8% homology), SWR/J mice are now recommended for use as the non-diabetic control by the Jackson Laboratory [47]. Nonetheless, the lack of a littermate control makes strain a possible contributor to the observed differences in bone between the non-diabetic and diabetic mice.
In this study, the phenotype of the diabetic TallyHO mice, when compared to the non-diabetic SWR/J mice at 16 weeks of age, was similar to the one previously described by Devlin et al. at 17 weeks of age [36]. Specifically, in both studies, there was high variability in glucose levels among the TallyHO mice, and the onset of persistent hyperglycemia occurred by 10 weeks of age. With respect to the skeletal phenotype, cortical TMD and cortical thickness were higher in the TallyHO mice compared to the SWR/J mice in both studies. Devlin et al. also observed that the structural strength of femur diaphysis was higher for the diabetic mice, while post-yield displacement was lower. We additionally found that toughness (i.e., the ability of cortical bone to dissipate energy during fracture) did not change between 16 weeks and 34 weeks of age in both diabetic and non-diabetic mice. Furthermore, as with the Devlin study, we did not observe differences in fAGEs within bone between diabetic and non-diabetic mice. Notably, in a recent study analyzing hydrolysates from proximal femora of diabetic KK-Ay/a mice and non-diabetic a/a littermates at 20 weeks of age (12 weeks of hyperglycemia) [48], there were no significant difference in pentosidine concentration similar to our findings with the TallyHO mice.
The early onset of obesity and diabetes makes it difficult to determine whether or not there are differences in fracture resistance between the strains prior to hyperglycemia. Furthermore, as the SWR/J strain is not obese, certain differences between the strains may be due to obesity as suggested by the covariate analysis of bone structural properties (Supplemental Tables). Notably, other T2D rodent models such as the ZDSD rat have strain-related differences in bone structure and strength before the onset of T2D [41]. Moreover, while the cortical bone of the femur from Zucker Diabetic Fatty rats (ZDFfa/fa) was structurally weaker with lower areal BMD than those from the lean ZDF non-diabetic controls (ZDFfa/+) at 33 weeks of age, no significant differences in material estimates of strength and toughness between the two groups were reported [49]. Effects of T2D on the fracture resistance of long bones at the material-level in rodent models tends depend on the duration of hyperglycemia, though few studies investigated multiple time points during the progression of the disease [50].
With regards to the vertebrae, the peak force did not decrease with diabetes despite a lower trabecular bone volume at 34 weeks compared to age-matched non-diabetic mice. Unlike with Devlin et al. study [36], which reported differences in trabecular architecture within the lumbar vertebra, not VB strength, at 17 weeks of age between SWR/J and TallyHO mice, we did not find a difference in trabecular bone volume in the L6 VB at 16 weeks between these 2 strains of mice. At the 34 weeks of age, the higher Tb.TMD (Table 3) could have compensated for the lower BV/TV and give added strength to the L6 VB of the TallyHO mice. However, while Tb.TMD increased with age for both mouse strains, peak force was not different between 16-week and 34-week old mice suggesting other factors within the lumbar vertebra (e.g., related to the matrix or the structure of the cortical shell) existed between the diabetic and non-diabetic mice. In the distal femur metaphysis, there was significantly lower BV/TV for the TallyHO mice at both ages (Table 4), and this is consistent with the previous study [36] and another study comparing male TallyHO to male C57BL/6J mice at 8 weeks of age [51]. T2D in humans does not appear to be a problem of poor trabecular architecture, at least not when assessed by HR-pQCT of peripheral sites [20, 21]. With regards to cortical micro-structure, porosity or pore number did not increase with duration of hyperglycemia as observed in ZDSD diabetic male rats [41]. There is however a limit to the size of pores that μCT analysis of mouse bones can resolve. Furthermore, unlike with human cortical bone, extensive remodeling of the cortex does not occur in mice, and so higher porosity in the diaphysis of mouse long bone is typically a reflection of elevated resorption near the endosteum (Fig. 5). Possibly, with higher body weight, this resorption during diaphyseal expansion was lower for TallyHO mice.
Regardless of the cause (either strain-related or T2D-related), there are several possible explanations for the brittle bone phenotype of the TallyHO diabetic mice. The tissue mineral density (μCT) and the mineral-to-matrix ratio (Raman spectroscopy) were higher for TallyHO cortical bone than for SWR/J cortical bone. It has been suggested that there is a non-linear relationship between degree of mineralization and toughness such that hyper-mineralization is thought to confer low bone toughness [52–54]. In the present study though, as mineralization increased with age for both mouse strains, toughness did not significantly differ between the age groups. Cracking toughness (Figure 3D) and post-yield displacement (Table 2), other indicators of brittleness, did decrease with age, namely for the non-diabetic mice. Also, the age-related increase in Ct.TMD only resulted in a higher bending strength at 34 weeks compared to 16 weeks of age for the SWR/J mice.
An alternative explanation relates to the organic matrix. The Amide I sub-peak ratio 1670/1640 (intensity ratio at these wavenumbers) was higher in diabetic mice. Unal et al. previously showed that the Amide I sub-peak ratio 1670/1640 (cm−1) was negatively correlated with toughness and post-yield toughness of bovine cortical bone and was sensitive to thermally induced denaturation and mechanical denaturation in bovine cortical bone (i.e., a marker of helical structure of collagen I) [42]. For the WBN/Kob rat model of T2D, Saito et al. [55] observed a decrease in immature enzymatic collagen crosslink concentration (before the onset of hyperglycemia) with the progression of diabetes, but no T2D-related changes in mature enzymatic pyridinoline (as observed in the present study). While we did not measure immature crosslinks, our Raman analysis also found that the Amide I sub-peak ratio 1670/1690 (cm−1), known as the matrix maturity ratio, was also higher in bones of TallyHO mice. This change could reflect a difference in the enzymatic crosslinking profile. Thus, it is possible that the increased brittleness of bone in TallyHO mice is due to an altered collagen structure in the bone matrix.
Finally, multiple mice experienced a loss in body weight as the duration of T2D increased. One TallyHO mouse in the 16-week group and three TallyHO mice in the 34-week group lost more than 10% of their peak body mass (other mice lost more than 20% of body mass and were euthanized before completion of the study), even though mice were fed a purified diet with a relatively low-fat content. The negative correlation between body weight and glucose levels (Figure 6A) suggests that this loss was related to uncontrolled hyperglycemia. Diabetic mice with the high glucose levels at 34 weeks of age also had reduced structural strength in bending (Figure 6C), reduced cortical area (Figure 6D), and reduced serum marker of bone formation (Table 1) suggesting additional complications potentially affecting the bone. Another limitation of the study is the lack of bone histomorphometry to confirm an inverse association between hyperglycemia and bone formation. Nonetheless, poor kidney function, a known complication of T2D, could alter bone turnover leading to structural deficits. Potentially, by counting on high variability in hyperglycemia from moderate to severe, the TallyHO model of T2D could be used to investigate the effect of glycemic control by standard (e.g., metformin) therapies and newer therapies (e.g., glifozins) on bone strength.
5. Conclusions
Overall, the fracture resistance of bone from TallyHO mice did not progressively worsen with the duration of T2D, and the low toughness of cortical bone for these diabetic mice compared to the non-diabetic SWR/J mice existed at skeletal maturity (16 weeks of age) and in adulthood (34 weeks of age). It is unclear whether strain or early-onset of elevated glucose levels or both contribute to the differences in toughness and organic matrix seen between the two groups. While the TallyHO model mimics several features of type 2 diabetes in humans (glucose levels were variable and bone mass was not lower than normal), cortical porosity and trabecular number and thickness in long bones was lower compared to the non-diabetic mice when diabetic humans can have elevated cortical porosity with otherwise normal trabecular architecture. Moreover, AGEs did not accumulate in bone with diabetic progression as occurs in other tissues of diabetic humans. The lower trabecular bone volume fraction existing in this model juvenile-onset of T2D also did not confer lower lumbar vertebral body strength when comparing TallyHO to SWR/J mice at 34 weeks of age. The higher structural strength of femur mid-shaft for the diabetic mice was not independent of the difference in body weight between TallyHO and SWR/J mice. There is variability in individual blood glucose levels within the TallyHO group, and such levels negatively correlate with certain structural properties of the femur mid-shaft.
Supplementary Material
Highlights.
The elevated glucose levels in obese TallyHO mice are variable compared to SWR/J controls.
The mechanical properties of cortical bone for TallyHO mice do not progressively worsen with age.
The reduction in trabecular bone associated with diabetes in the TallyHO mice do not confer a decrease in the strength of lumbar vertebra.
Glucose levels for the 34-week old TallyHO mice negatively correlate with several structural properties of cortical bone.
Acknowledgments
This work was funded in part by a training grant from NIDDK (DK101003) and by a grant from the National Institute of Arthritis and Musculoskeletal and Skin Diseases (AR067871). The VUMC Hormone and Analytical Core is supported by NIH grants DK059637 and DK020593. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or other funding agencies.
Footnotes
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References
- 1.Heilmeier U, Carpenter DR, Patsch JM, Harnish R, Joseph GB, Burghardt AJ, Baum T, Schwartz AV, Lang TF, Link TM. Volumetric femoral BMD, bone geometry, and serum sclerostin levels differ between type 2 diabetic postmenopausal women with and without fragility fractures. Osteoporosis International. 2015;13 doi: 10.1007/s00198-014-2988-7. [DOI] [PubMed] [Google Scholar]
- 2.Schwartz AV. Epidemiology of fractures in type 2 diabetes. Bone. 2016;82:2–8. doi: 10.1016/j.bone.2015.05.032. [DOI] [PubMed] [Google Scholar]
- 3.Janghorbani M, Van Dam Rob M, Willett Walter C, Hu Frank B. Systematic Review of Type 1 and Type 2 Diabetes Mellitus and Risk of Fracture. American Journal of Epidemiology. 2007;166:495–505. doi: 10.1093/aje/kwm106. [DOI] [PubMed] [Google Scholar]
- 4.Melton LJ, Leibson Cynthia L, Achenbach Sara J, Therneau Terry M, Khosla Sundeep. Fracture Risk in Type 2 Diabetes: Update of a Population-Based Study. Journal of Bone and Mineral Research. 2008;23:1334–1342. doi: 10.1359/JBMR.080323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wallander M, Axelsson Kristian F, Nilsson Anna G, Lundh Dan, Lorentzon Mattias. Type 2 Diabetes and Risk of Hip Fractures and Non-Skeletal Fall Injuries in the Elderly: A Study From the Fractures and Fall Injuries in the Elderley Cohort (FRAILCO) Journal of Bone and Mineral Research. 2017;32:449–460. doi: 10.1002/jbmr.3002. [DOI] [PubMed] [Google Scholar]
- 6.Majumdar SR, Leslie William D, Lix Lisa M, Morin Suzanne N, Johansson Helena, Oden Anders, McCloskey Eugene V, Kanis John A. Longer Duration of Diabetes Strongly Impacts Fracture Risk Assessment: The Manitoba BMD Cohort. Journal of Clinical Endocrinology and Metabolism. 2016;101:4489–4496. doi: 10.1210/jc.2016-2569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Schwartz AV, Vittinghoff E, Bauer DC, Hillier TA, Strotmeyer ES, Ensrud KE, Donaldson Meghan G, Cauley, Jane A, Harris Tamara B, Koster Annemarie, Womack Catherine R, Palermo Lisa, Black Dennis M. Association of BMD and FRAX Score with Risk of Fracture in Older Adults with Type 2 Diabetes. JAMA. 2011;305:2184–2192. doi: 10.1001/jama.2011.715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Schwartz AV, Vittinghoff Eric, Sellmeyer Deborah E, Feingold Kenneth R, de Rekeneire Nathalie, Strotmeyer Elsa S, Shorr Ronald I, Vinik Aaron I, Odden Michelle C, Park Seok Won, Faulkner Kimberly A, Harris Tamara B. Diabetes-related complications, glycemic control, and falls in older adults. Diabetes Care. 2008;31:391–396. doi: 10.2337/dc07-1152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Shen J, Nielson Carrie M, Marshall Lynn M, Lee David C, Keaveny Tony M, Orwoll Eric S. The association between BMI and QCT-derived proximal hip structure and strength in older men: a cross-sectional study. Journal of Bone and Mineral Research. 2015;30:1301–1308. doi: 10.1002/jbmr.2450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Shanbhogue V, Michell DM, Rosen CJ, Bouxsein ML. Type 2 diabetes and the skeleton: new insights into sweet bones. Lancet Diabetes Endocrinology. 2015 doi: 10.1016/S2213-8587(15)00283-1. [DOI] [PubMed] [Google Scholar]
- 11.National Diabetes Statistics Report 2017: Estimates of Diabetes and Its Burden in the United States. Centers for Disease Control and Prevention 2017 [Google Scholar]
- 12.Dabelea D, Mayer-Davis Elizabeth J, Saydah Sharon, Imperatore Giuseppina, Linder Barbara, Divers Jasmin, Bell Ronny, Badaru Angela, Talton Jennifer W, Crume Tessa, Liese Angela D, Merchant Anwar T, Lawrence Jean M, Reynolds Kristi, Dolan Lawrence, Liu Lenna L, Hamman Richard F. Prevalence of Type 1 and Type 2 Diabetes Among Children and Adolescents From 2001 to 2009. Journal of the American Medical Association. 2014;311:1778–1786. doi: 10.1001/jama.2014.3201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Reinehr T. Type 2 diabetes mellitus in children and adolescents. World Journal of Diabetes. 2013;4:270–281. doi: 10.4239/wjd.v4.i6.270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.May AL, Kuklina Elena V, Yoon Paula W. Prevalence of Cardiovascular Disease Risk Factors Among US Adolescents, 1999–2008. Pediatrics. 2012;129:1035–1042. doi: 10.1542/peds.2011-1082. [DOI] [PubMed] [Google Scholar]
- 15.Skinner AC, Skelton Joseph A. Prevalence and Trends in Obesity and Severe Obesity Among Children in the United States, 1999–2012. JAMA Pediatrics. 2014;168:561–566. doi: 10.1001/jamapediatrics.2014.21. [DOI] [PubMed] [Google Scholar]
- 16.Weber DR, Haynes Kevin, Leonard Mary B, Willi Steven M, Denburg Michelle R. Type 1 Diabetes Is Associated with an Increased Risk of Fracture Across the Life Span: A Population-Based Cohort Study Using the Health Improvement Network (THIN) Diabetes Care. 2015;38:1913–1920. doi: 10.2337/dc15-0783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Farr JN, Khosla Sundeep. Determinants of bone strength and quality in diabetes mellitus in humans. Bone. 2015;82:28–34. doi: 10.1016/j.bone.2015.07.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Burghardt A, Issever AS, Schwartz AV, Davis KA, Masharani U, Majumdar S, et al. High-resolution peripheral quantitative computed tomographic imaging of cortical and trabecular bone microarchitecture in patients with type 2 diabetes mellitus. Journal of Clinical Endocrinology and Metabolism. 2010;95:5045–5055. doi: 10.1210/jc.2010-0226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Farr J, Drake MT, Amin S, Melotn LJ, McCready LLK, Khosla S. In vivo assessment of bone quality in postmenopausal women with type 2 diabetes. Journal of Bone and Mineral Research. 2014;29:787–795. doi: 10.1002/jbmr.2106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Nilsson AG, Sundh Daniel, Johansson Lisa, Nilsson Martin, Mellstrom Dan, Rudang Robert, Zoulakis Michail, Wallander Marit, Darelid Anna, Lorentzon Mattias. Type 2 Diabetes Mellitus Is Associated With Better Bone Microarchitecture But Lower Bone Material Strength and Poorer Physical Function in Elderly Women: A Population-Based Study. Journal of Bone and Mineral Research. 2017;32:1062–1071. doi: 10.1002/jbmr.3057. [DOI] [PubMed] [Google Scholar]
- 21.Samelson EJ, Demissie Serkalem, Cupples L Adrienne, Zhang Xiaochun, Xu Hanfei, Liu Ching-Ti, Boyd Steven K, McLean Robert R, Broe Kerry E, Kiel Douglas P, Bouxsein Mary L. Diabetes and Deficits in Cortical Bone Density Microarchitecture, and Bone Size: FramingHam HR-pQCT Study. Journal of Bone and Mineral Research. 2017 doi: 10.1002/jbmr.3240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Yu E, Putman MS, Derrico N, Abrishamanian-Garcia G, Finkelstein JS, Bouxsein BL. Defects in cortical microarchitecture among African-American women with type 2 diabetes. Osteoporosis International. 2014:1–7. doi: 10.1007/s00198-014-2927-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Paccou J, Ward KA, Jameson KA, Dennison EM, Cooper C, Edwards MH. Bone microarchitecture in men and women with diabetes: The importance of cortical porosity. Calcified Tissue International. 2016;98:465–473. doi: 10.1007/s00223-015-0100-8. [DOI] [PubMed] [Google Scholar]
- 24.Patsch J, Burghardt AJ, Yap SP, Baum T, Schwartz AV, Joseph GB, Link TM. Increased cortical porosity in type 2 diabetic postmenopausal women with fragility fractures. Journal of Bone and Mineral Research. 2013;28:313–324. doi: 10.1002/jbmr.1763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Heilmeier U, Cheng K, Pasco C, Parrish R, Nirody J, Patsch JM, et al. Cortical bone laminar analysis reveals increased midcortical and periosteal porosity in type 2 diabetic postmenopausal women with history of fragility fractures compared to fracturefree diabetics. Osteoporosis International. 2016;27:2791–2802. doi: 10.1007/s00198-016-3614-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Furst JR, Bandeira Leonardo C, Fan Wen-Wei, Agarwal Sanchita, Nishiyama Kyle K, McMahon Donald J, Dworakowski Elzbieta, Jiang Hongfeng, Silverberg Shonni J, Rubin Mishaela R. Advanced Glycation Endproducts and Bone Material Strength in Type 2 Diabetes. Journal of Clinical Endocrinology and Metabolism. 2016;101:2502–2510. doi: 10.1210/jc.2016-1437. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Goh S-Y, Cooper Mark E. The Role of Advanced Glycation End Products in Progression and Complications of Diabetes. Journal of Clinical Endocrinology and Metabolism. 2008;93:1143–1152. doi: 10.1210/jc.2007-1817. [DOI] [PubMed] [Google Scholar]
- 28.Saito M, Marumo K. Collagen crosslinks as a determinant of bone quality: a possible explanation for bone fragility in aging, osteoporosis, and diabetes mellitus. Osteoporosis International. 2010;21:195–214. doi: 10.1007/s00198-009-1066-z. [DOI] [PubMed] [Google Scholar]
- 29.Fajardo RJ, Karim Lamya, Calley Virginia I, Bouxsein Mary L. A Review of Rodent Models of Type 2 Diabetic Skeletal Fragility. Journal of Bone and Mineral Research. 2014;29:1025–1040. doi: 10.1002/jbmr.2210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kawashima Y, Fritton J, Christopher Yaka, Shoshana Sol Epstein, Sol Schaffler Mitchell B, Jepsen Karl J, LeRoith Derek. Type 2 Diabetic Mice Demonstrate Slender Long Bones with Increased Fragility Secondary To Increased Osteoclastogenesis. Bone. 2009;44:648–655. doi: 10.1016/j.bone.2008.12.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Iwatsuka H, Shino Akio, Suzuoki Ziro. General Survey of Diabetic Features of Yellow KK Mice. Endocrinologia japonica. 1970;17:23–35. doi: 10.1507/endocrj1954.17.23. [DOI] [PubMed] [Google Scholar]
- 32.Takagi S, Miura Toshihiro, Yamashita Takenori, Ando Naoki, Nakao Haruka, Ishihara Eriko, Ishida Torao. Characteristics of Diabetic Osteopenia in KK-Ay Diabetic Mice. Biological and Pharmaceutical Bulletin. 2012;35:438–443. doi: 10.1248/bpb.35.438. [DOI] [PubMed] [Google Scholar]
- 33.Xu F, Dong Yonghui, Huang Xin, Li Mi, Qin Liang, Ren Ye, Guo Fengjing, Chen Animin, Huang Shilong. Decreased osteoclastogenesis, osteoblastogenesis and low bone mass in a mouse model of type 2 diabetes. Molecular Medicine Reports. 2014:1935–1941. doi: 10.3892/mmr.2014.2430. [DOI] [PubMed] [Google Scholar]
- 34.Fu C, Zhang Xiaolin, Ye Fei, Yang Jianhong. High Insulin Levels in KK-Ay Diabetic Mice Cause Increased Cortical Bone Mass and Impaired Trabecular Micro-Structure. International Journal of Molecular Sciences. 2015:8213–8226. doi: 10.3390/ijms16048213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kim JH, Stewart Taryn P, Soltani-Bejnood Morvarid, Wang Luan, Fortuna Jennifer M, Mostafa Ola A, Moustaid-Moussa Naima, Shoieb Ahmed M, McEntee Michael F, Wang Yun, Bechtel Lawrence, Naggert Jurgen K. Phenotypic characterization of polygenic type 2 diabetes in TALLYHO/JngJ mice. Journal of Endocrinology. 2006;191:437–446. doi: 10.1677/joe.1.06647. [DOI] [PubMed] [Google Scholar]
- 36.Devlin MJ, Van Vliet M, Motyl K, Karim L, Brooks DJ, Louis L, Conlon C, Rosen CJ, Bouxsein ML. Early-Onset Type 2 Diabetes Impairs Skeletal Acquisition in the Male TALLYHO/JngJ Mouse. Endocrinology. 2014;155:3806–3816. doi: 10.1210/en.2014-1041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Rhee SD, Sung YY, Lee YS, Kim JY, Jung WH, Kim MJ, Lee MS, Lee MK, Yang SD, Cheon HG. Obesity of TallyHO/JngJ Mouse is Due to Increased Food Intake with Early Development of Leptin Resistance Exp Clin Endocrinol Diabetes. 2011;119:243–251. doi: 10.1055/s-0030-1267202. [DOI] [PubMed] [Google Scholar]
- 38.Makowski AJ, Uppuganti S, Wadeer SA, Whitehead JM, Rowland BJ, Granke M, Mahadevan-Jansen A, Yang X, Nyman JS. The loss of activating transcription factor 4 (ATF4) reduces bone toughness and fracture toughness. Bone. 2014;62:1–9. doi: 10.1016/j.bone.2014.01.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Uppuganti S, et al. Age-related Changes in the Fracture Resistance of Male Fischer F344 Rat. Bone. 2016;83:220–232. doi: 10.1016/j.bone.2015.11.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ritchie R, Koester KJ, Ionova S, Yao W, Lane NE, Ager JW. Measurement of the toughness of bone: A tutorial with special reference to small animals. Bone. 2008;43:798–812. doi: 10.1016/j.bone.2008.04.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Creecy A, Uppuganti Sasidhar, Merkel Alyssa R, O'Neal Dianne, Makowski Alexander J, Granke Mathilde, Voziyan Paul, Nyman Jeffry S. Changes in the Fracture Resistance of Bone with the Progression of Type 2 Diabetes in the ZDSD Rat. Calcified Tissue International. 2016;99:289–301. doi: 10.1007/s00223-016-0149-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Unal M, Jung Hyungjin, Akkus Ozan. Novel Raman Spectroscopic Biomarkers Indicate That Postyield Damage Denatures Bone's Collagen. Journal of Bone and Mineral Research. 2016;31:1015–1025. doi: 10.1002/jbmr.2768. [DOI] [PubMed] [Google Scholar]
- 43.Tang SY, Zeenath U, Vashishth D. Effects of non-enzymatic glycation on cancellous bone fragility. Bone. 2007;40:1144–1151. doi: 10.1016/j.bone.2006.12.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Fowlkes JL, Nyman Jeffry S, Bunn R, Clay Cockrell, Gael E, Wahl Elizabeth C, Rettiganti Mallikarjuna R, Lumpkin Charles K, Jr, Thrailkill Kathryn M. Effects of long-term doxycycline on bone quality and strength in diabetic male DBA/2J mice. Bone Reports. 2015;1:16–19. doi: 10.1016/j.bonr.2014.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Leiter E. Selecting the "Right" Mouse Model for Metabolic Syndrome and Type 2 Diabetes Research. In: Stocker C, editor. Type 2 Diabetes. Humana Press; 2009. [DOI] [PubMed] [Google Scholar]
- 46.Kim JH, Sen Saunak, Avery Cindy S, Simpson Elizabeth, Chandler Phillip, Nishina Patsy M, Churchill Gary A, Naggert Jurgen K. Genetic Analysis of a New Mouse Model for Non-Insulin-Dependent Diabetes. Genomics. 2001;74:273–286. doi: 10.1006/geno.2001.6569. [DOI] [PubMed] [Google Scholar]
- 47.Kim JH, Saxton AM. The TallyHO Mouse as a Model of Human Type 2 Diabetes. In: Joost H, Al-Hasani H, Schurmann A, editors. Animal Models in Diabetes Research. Methods in Molecular Biology (Methods and Protocols) Humana Press; Totowa, NJ: 2012. [DOI] [PubMed] [Google Scholar]
- 48.Hunt HB, Pearl Jared C, Diaz David R, King Karen B, Donnelly Eve. Bone tissue collagen maturity and mineral content increase with sustained hyperglycemia in the KK-Ay murine model of type 2 diabetes. Journal of Bone and Mineral Research. 2017 doi: 10.1002/jbmr.3365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Reinwald S, Peterson Richard G, Allen Matt R, Burr David B. Skeletal changes associated with the onset of type 2 diabetes in the ZDF and ZDSD rodent models. Am J Physiol Endocrinol Metab. 2009;296:E765–E774. doi: 10.1152/ajpendo.90937.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Nyman JS, Even Jesse L, Jo Chan-Hee, Herbert Erik G, Murry Matthew R, Cockrell Gael E, Wahl Elizabeth C, Bunn R, Clay Lumpkin, Charles K, Fowlkes John L, Thrailkill Kathryn M. Effect of Diabetes on the Fracture Resistance of Bone. Clinical Reviews in Bone and Mineral Metabolism 2013 [Google Scholar]
- 51.Won HY, Lee Jin-Ah, Park Zong Sik, Song Jin Sook, Kim Hee Yun, Jang Su-Min, Yoo Sung-Eun, Rhee Youmi, Hwang Eun Sook, Bae Myung Ae. Prominent Bone Loss Mediated by RANKL and IL-17 Produced by CD4+ T Cells in TallyHO/JngJ Mice. PLOSOne. 2011;6 doi: 10.1371/journal.pone.0018168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Currey JD, Brear Kevin, Zioupos Peter. The Effects of Ageing and Changes in Mineral Content in Degrading the Toughness of Human Femora. Journal of Biomechanics. 1996;29:257–260. doi: 10.1016/0021-9290(95)00048-8. [DOI] [PubMed] [Google Scholar]
- 53.Zioupos P, Currey John D, Casinos Adria. Exploring the Effects of Hyperminerlisation in Bone Tissue by Using an Extreme Biological Example. Connective Tissue Research. 2000;41:229–248. doi: 10.3109/03008200009005292. [DOI] [PubMed] [Google Scholar]
- 54.Currey JD, Zioupos Peter, Davies Peter, Casinos Adria. Mechanical properties of nacre and highly mineralized bone. Proceedings of the Royal Society of London B. 2017;268:107–111. doi: 10.1098/rspb.2000.1337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Saito M, Fujii K, Mori Y, Marumo K. Role of collagen enzymatic and glycation induced cross-links as a determinant of bone quality in spontaneously diabetic WBN/Kob rats. Osteoporosis International. 2006;17:1514–1523. doi: 10.1007/s00198-006-0155-5. [DOI] [PubMed] [Google Scholar]
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