SEARCH

SEARCH BY CITATION

Keywords:

  • RACE;
  • HR-PQCT;
  • MICROARCHITECTURE;
  • CHINESE;
  • WHITE;
  • INDIVIDUAL TRABECULA SEGMENTATION;
  • AGE-RELATED DIFFERENCES

ABSTRACT

  1. Top of page
  2. ABSTRACT
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgments
  9. References
  10. Supporting Information

Compared to white women, premenopausal Chinese-American women have more plate-like trabecular (Tb) bone. It is unclear whether these findings are relevant to postmenopausal women and if there are racial differences in the deterioration of bone microarchitecture with aging. We applied individual trabecula segmentation and finite element analysis to high-resolution peripheral quantitative computed tomography images in premenopausal and postmenopausal Chinese-American and white women to quantify within-race age-related differences in Tb plate-versus-rod microarchitecture and bone stiffness. Race–menopause status interactions were assessed. Comparisons between races within menopause status were adjusted for age, height and weight. Comparisons between premenopausal and postmenopausal women were adjusted for height and weight. Adjusted analyses at the radius indicated that premenopausal Chinese-Americans had a higher plate bone volume fraction (pBV/TV), Tb plate-to-rod ratio (P-R ratio), and greater plate-plate junction densities (P-P Junc.D) versus white women (all p < 0.01), resulting in 27% higher Tb stiffness (p < 0.05). Greater cortical thickness and density (Ct.Th and Dcort) and more Tb plates led to 19% greater whole bone stiffness (p < 0.05). Postmenopausal Chinese-Americans had similar pBV/TV and P-P Junc.D, yet a higher P-R ratio versus white women. Postmenopausal Chinese-American versus white women had greater Ct.Th, Dcort, and relatively intact Tb plates, resulting in similar Tb stiffness but 12% greater whole bone stiffness (p < 0.05). In both races, Ct.Th and Dcort were lower in postmenopausal versus premenopausal women and there were no differences between races. Tb plate parameters were also lower in postmenopausal versus premenopausal women, but age-related differences in pBV/TV, P-R ratio, and P-P Junc D were greater (p < 0.05) in Chinese-Americans versus white women. There are advantages in cortical and Tb bone in premenopausal Chinese-American women. Within-race cross-sectional differences between premenopausal and postmenopausal women suggest greater loss of plate-like Tb bone with aging in Chinese-Americans, though thicker cortices and more plate-like Tb bone persists.


Introduction

  1. Top of page
  2. ABSTRACT
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgments
  9. References
  10. Supporting Information

Over the last decade, the Asian population, a group traditionally considered at high risk for osteoporosis, grew faster than any other race group in the United States.[1] Although Asian individuals tend to have lower areal bone mineral density (aBMD) than white and other racial groups, their risk of hip and forearm fractures is paradoxically low. In contrast, vertebral fracture rates are similar or higher in Asian as compared to white women.[2-8] These observations have been elucidated, in part, by prior analyses of skeletal microstructure and mechanical competence, which favor the Asian skeleton. For example, we and others recently reported that whereas premenopausal and postmenopausal Chinese-American women have smaller bone size than white women, they have thicker and more dense cortices as well as thicker trabeculae at the radius and tibia as measured by high-resolution peripheral quantitative computed tomography (HR-pQCT).[9-11] Premenopausal, but not postmenopausal, Chinese-American women also have higher trabecular bone density compared to white women.[9, 10]

Using individual trabecula segmentation (ITS), a new analytical tool that can assess the plate- and rod-like characteristics of individual trabeculae,[12, 13] as well as micro-finite element analysis (µFEA), we have also found that premenopausal Chinese-American women have microstructural advantages, leading to greater mechanical competence as compared to white women.[14] Specifically, we demonstrated that premenopausal Chinese-American women have higher plate bone volume fraction and higher plate number density at the distal radius and tibia as compared to white women, leading to a greater plate to rod ratio and greater trabecular connectivity. These striking differences in trabecular microstructure translate into greater trabecular and whole-bone competence in Chinese-American versus white premenopausal women.[14]

Because our previous work has shown that postmenopausal Chinese-American and white women do not differ in trabecular volumetric bone density by HR-pQCT,[10] it is unclear if the plate-like trabecular advantages in Chinese-American premenopausal women revealed by ITS would also be seen in postmenopausal Chinese-American women. Additionally, our prior HR-pQCT findings suggest that there may be racial differences in age-related deterioration of bone microarchitecture. The purpose of this study was, therefore, threefold: (1) to determine whether postmenopausal Chinese-American women, similar to their premenopausal counterparts, have more plate-like trabecular bone compared to postmenopausal white women; (2) to assess premenopausal and postmenopausal differences in microstructure and mechanical competence within each racial group; and (3) to examine whether there are race-specific skeletal microstructure differences between premenopausal and postmenopausal women.

Subjects and Methods

  1. Top of page
  2. ABSTRACT
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgments
  9. References
  10. Supporting Information

Subjects

Ninety-five premenopausal (49 Chinese and 46 white) and 97 (29 Chinese and 68 white) postmenopausal women were studied. Participants in the current report represent those included in our prior studies utilizing HR-pQCT.[9, 10, 14] As previously described, participants were recruited by newspaper and internet advertisements, flyers, and directly at primary care physician offices. Inclusion criteria were self-reported Chinese or white descent (all four grandparents).[9, 10] Specific country of birth was not an inclusion or exclusion criterion. The cohort represents women born in the United States, China, and other countries. Premenopausal status was evaluated by history of regular menses with more than six cycles per year. We further limited inclusion to premenopausal women who were 29 to 40 years old in order to study women who had reached peak bone mass but in whom the perimenopausal transition or menopause had not yet influenced skeletal metabolism. Postmenopausal status was defined as the absence of periods for >1 year. Postmenopausal women who were 59 to 70 years old were included in order to study women who were past the perimenopausal transition period but who had not yet reached an advanced age when comorbid conditions or medications would be more likely to affect bone metabolism. Women were screened by history and biochemical evaluation for conditions or medications known to affect bone metabolism. Exclusion criteria included: untreated hyperthyroidism; renal or liver dysfunction; current pregnancy or lactation; intestinal malabsorption due to any cause; history of malignancy other than non-melanomatous skin cancer; metabolic bone diseases; human immunodeficiency virus (HIV) disease; organ transplantation; fragility fracture; and drug exposures affecting bone metabolism (current or past use of glucocorticoids, tacrolimus, cyclosporine, methotrexate, teriparatide, calcitonin, or aromatase inhibitors; current use or use within the last 12 months of hormone replacement therapy, raloxifene, or bisphosphonates; cumulative bisphosphonate use >6 months in duration). Over 500 women were screened for the study; overall, 70% of white women versus 76% of Chinese-American women were eligible (p = 0.20). Eighty-two percent (82%) of premenopausal white women versus 80% of premenopausal Chinese-American women were eligible (p = 0.72); 56% of white postmenopausal versus 63% of Chinese-American postmenopausal women were eligible (p = 0.35). All participants gave written, informed consent. Participants were compensated for study participation and travel expenses within the guidelines of the Columbia University Institutional Review Board, who approved this study.

Clinical evaluation

Information regarding past medical history, lifestyle, and medications was collected. Daily dietary calcium was assessed with a standardized food frequency questionnaire.[15] Weight and height were measured by balance beam and a wall-mounted, calibrated Harpenden stadiometer, respectively (Holtain Ltd, Crymych, UK).

Biochemical evaluation

Serum intact parathyroid hormone (PTH) was measured by chemiluminescence assay and 25-hydroxyvitamin D was measured by liquid chromatography tandem mass spectrometry.

Volumetric bone density and microarchitecture

HR-pQCT (XtremeCT, Scanco Medical AG, Bassersdorf, Switzerland) of the nondominant distal radius and distal tibia was performed as described.[16-18] The HR-pQCT measurement included 110 slices, corresponding to a 9.02-mm section along the axial direction, with a nominal voxel size of 82 µm. Quality control was provided by scanning the European Forearm Phantom at the time subjects were scanned. Volumetric bone density and microarchitecture were measured at the nondominant forearm and tibia from these HR-pQCT images, as described.[9, 16-20]

ITS-based morphological analyses

The trabecular bone compartment of each HR-pQCT image was manually extracted from the cortex.[21] All trabecular bone images were then subjected to ITS-based morphological analyses. It should be noted that the ITS results of premenopausal Chinese-American and white women reported in Liu and colleagues[14] were evaluated based on a central cubic subvolume of the trabecular compartment. However, the same methodology is not suitable for analyses of postmenopausal trabecular bone, as the deterioration of trabecular structure often begins from the center of the trabecular compartment,[20] making structural distribution highly heterogeneous.[22] Therefore, in the current study, all the ITS analyses were applied to the whole trabecular compartment for both premenopausal and postmenopausal groups as shown in Fig. 1.

image

Figure 1. Representative images indicating ITS analyses of individual trabecular plates (green) and rods (red) in (A) premenopausal Chinese-American; (B) premenopausal white; (C) postmenopausal Chinese-American; and (D) postmenopausal white women.

Download figure to PowerPoint

Briefly, digital topological analysis (DTA)-based skeletonization[23] was applied first to transform a trabecular bone image into a representation composed of surfaces and curves skeleton while preserving the topology (ie, connectivity, tunnels, and cavities)[24, 25] as well as the rod and plate morphology of the trabecular microarchitecture. Then, digital topological classification was applied in which each skeletal voxel was uniquely classified as either a surface or a curve type.[26] Using a newly developed iterative reconstruction method, each voxel of the original image was classified as belonging to either an individual plate or rod. Based on the 3D evaluations of each individual trabecular plate and rod, bone volume and number of plates and rods were evaluated by plate and rod bone volume fraction (pBV/TV and rBV/TV), as well as plate and rod number densities (pTb.N and rTb.N; 1/mm). Plate-to-rod ratio (P-R ratio), a parameter of plate versus rod characteristics of trabecular bone, was defined as plate bone volume divided by rod bone volume. The average size of plates and rods was quantified by plate and rod thickness (pTb.Th and rTb.Th; mm). Intactness of trabecular network was characterized by plate-plate junction density (P-P Junc.D; 1/mm3) and plate-rod junction density (P-R Junc.D; 1/mm3), calculated as the total junctions between trabecular plate-plate or plate-rod normalized by the bulk volume. Trabecular bone volume fraction, mean number density, and mean thickness (BV/TV, Tb.N, and Tb.Th, respectively) for all trabeculae were also calculated. Detailed methods of the complete volumetric decomposition technique and ITS-based measurements can be found in our recent publications.[12, 13]

Micro–finite element analysis

Each thresholded HR-pQCT whole bone segment image and trabecular bone compartment image of the distal radius and distal tibia was converted to a micro–finite element analysis (µFEA) model. Bone tissue was modeled as an isotropic, linear elastic material with a Young's modulus (Es) of 15 GPa and a Poisson's ratio of 0.3.[27] For each model of whole bone or trabecular bone segment, a uniaxial compression was imposed to calculate the reaction force under a displacement equal to 1% of bone segment height along the axial direction. Whole bone stiffness, defined as total reaction force divided by the applied displacement, characterizes the mechanical competence of both cortical and trabecular compartments and is closely related to whole bone strength[28] and fracture risk.[20, 29, 30] Trabecular stiffness was defined as the reaction force of the trabecular bone model divided by the applied displacement.

Statistics

Data are expressed as mean ± SD. Criterion values were adjusted for unequal variances where appropriate. Bone density, ITS, and µFEA results for each site were compared between the two racial groups within menopause status and between the two menopause states within racial groups using generalized linear models. Interaction effects were analyzed using generalized linear models to examine the effect of race and menopause status on each variable. Comparisons between races within menopausal status were adjusted for age, height, and weight. Comparisons between premenopausal and postmenopausal women within race were adjusted for height and weight. For all analyses, a two-tailed p < 0.05 was considered to indicate statistical significance. In order to evaluate the contribution of age and years since menopause to trabecular structure, we evaluated each as predictors separately in univariate regression models for ITS parameters. Statistical analysis was performed using STATA (Stata Statistical Software, Release 10, 2007; StataCorp LP, College Station, TX, USA) and SAS version 9.2 (SAS Institute, Cary, NC, USA).

Results

  1. Top of page
  2. ABSTRACT
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgments
  9. References
  10. Supporting Information

As shown in Table 1, there were no significant differences in age between races within each menopausal group. Chinese-American women were shorter and weighed less than white women. Additionally, within each race, postmenopausal women were shorter than their premenopausal counterparts. Chinese-American women had lower calcium intake and lower vitamin D levels than their white counterparts (Table 1). PTH level was higher in Chinese-American versus white premenopausal women but there was no difference among postmenopausal women. White postmenopausal women had higher PTH levels than their premenopausal counterparts (p = 0.004), whereas there was no difference between premenopausal and postmenopausal Chinese-American women (interaction p = 0.05; Table 1).

Table 1. Anthropometric and Biochemical Characteristics
 Chinese-American premenopausalWhite premenopausalChinese-American postmenopausalWhite postmenopausalComparison by menopausal status within race
Chinese-American postmenopausal versus premenopausal (p value)White postmenopausal versus premenopausal (p value)
  • Values represent mean ± SD.

  • N/A = not applicable; PTH = parathyroid hormone.

  • a

    p < 0.05 between race within menopausal status.

  • *

    Data available for 174 of 192 women.

  • **

    Data available for 152 of 192 women.

Age (years)36 ± 735 ± 461 ± 264 ± 3<0.0001<0.0001
Height (inches)64 ± 265 ± 3a62 ± 264 ± 2a0.00020.01
Weight (lbs.)125 ± 22139 ± 38a128 ± 17146 ± 27a0.690.19
Years menopausal (years)N/AN/A10 ± 412 ± 5N/AN/A
Calcium intake (mg/d)885 ± 5571394 ± 1570a901 ± 5441557 ± 730a0.940.40
Current smoking (%)6.5%4.1%0.0%1.5%0.120.42
Baeke sport index1.08 ± 0.611.59 ± 0.70a1.23 ± 0.681.24 ± 0.540.360.02
PTH (pg/mL)*37 ± 1331 ± 13a37 ± 1138 ± 120.960.004
Vitamin D level (ng/mL)**25 ± 936 ± 14a31 ± 1038 ± 14a0.020.41

Chinese-American versus white women

Premenopausal women

As shown in Table 2, among premenopausal women, bone area was 9% lower at the radius in Chinese-American compared with white women (p = 0.03). A similar trend was apparent at the tibia. Cortical thickness was higher at both radial and tibial sites in Chinese-American women (radius: +18%, p < 0.0001; tibia: +10%, p = 0.03) compared with their white counterparts. Trabecular volumetric bone density (Dtrab) was also higher in Chinese-American women at the radius (+15%, p = 0.005) and tibia (+8%, p = 0.05; Table 2).

Table 2. Volumetric Bone Density and Geometry in Chinese-American and White Premenopausal and Postmenopausal Women
 Chinese-American premenopausalWhite premenopausalChinese-American postmenopausalWhite postmenopausalChinese-American postmenopausal versus premenopausal (p value)White postmenopausal versus premenopausal (p value)Interaction (p value)
  1. Values represent unadjusted mean ± SD.

  2. Dtrab = trabecular volumetric bone density.

  3. a

    p < 0.05 between race within menopausal status.

  4. b

    p < 0.05 between race within menopausal status after adjustment for height, weight, and age.

  5. c

    p < 0.05 after adjustment for height and weight.

Radius
Bone area (mm2)211 ± 50231 ± 37a201 ± 33224 ± 40a0.320.340.86
Cortical thickness (mm)0.97 ± 0.150.82 ± 0.15a,b0.86 ± 0.140.73 ± 0.20a,b<0.01c<0.01c0.78
Cortical density (mgHA/cm3)962 ± 38923 ± 43a,b916 ± 54862 ± 77a,b0.001c<0.0001c0.40
Dtrab (mgHA/cm3)164 ± 42142 ± 33a,b118 ± 36125 ± 34<0.0001c0.009c0.01c
Tibia
Bone area (mm2)625 ± 122663 ± 82613 ± 83670 ± 103a0.620.690.52
Cortical thickness (mm)1.21 ± 0.251.10 ± 0.21a,b0.99 ± 0.200.85 ± 0.24a,b<0.0001c<0.0001c0.61
Cortical density (mgHA/cm3)921 ± 33901 ± 34828 ± 57789 ± 68a,b<0.0001c<0.0001c0.22
Dtrab (mmHg/cm3)166 ± 32153 ± 32a,b138 ± 29148 ± 29<0.0001c0.380.01c

As shown in Table 3, the plate bone volume fraction (pBV/TV) was higher (radius: +38%, p < 0.0001; tibia: +46%, p < 0.0001) whereas the rod bone volume fraction (rBV/TV) was lower in Chinese-American compared with white women (radius: −6%, p = 0.04; tibia: −19%, p < 0.0001), leading to a higher plate-to-rod ratio (radius: +63%, p < 0.0001; tibia: +79%, p < 0.0001; Table 3). Additionally, plate number (pTb.N) was higher and thickness (pTb.Th) was greater at both sites in Chinese-American versus white women (pTb.N radius: +8.0%, p = 0.002; pTb.N tibia: +5%, p < 0.001; pTb.Th radius: +5%, p ≤ 0.0001; pTb.Th tibia: +5%, p < 0.0001). Chinese-American women also had greater rod thickness (rTb.Th) at the radius (+5%, p = 0.0007) but not the tibia (Table 3). Plate-to-plate junction density (P-P Junc.D) was higher in premenopausal Chinese-American women compared with their white counterparts (radius: +23%, p = 0.002; tibia: +11%, p = 0.02), but there was no difference in P-R Junc.D (Table 3). Whole bone (radius: +14%, p = 0.0004; tibia: +8%, p = 0.03) but not trabecular stiffness was greater in Chinese-American versus white women at the radius and at the tibia (Table 4).

Table 3. Plate-Like Versus Rod-Like Trabecular Bone Characteristics in Chinese-American and White Premenopausal and Postmenopausal Women
 Chinese-American premenopausalWhite premenopausalChinese-American postmenopausalWhite postmenopausalChinese-American postmenopausal versus premenopausal (p value)White postmenopausal versus premenopausal (p value)Interaction (p value)
  1. Values represent unadjusted mean ± SD.

  2. pBV/TV = plate bone volume fraction; pTb.N = trabecular plate number density; pTb.Th = trabecular plate thickness; P-P Junc.D = plate-plate junction density; P-R Junc.D = plate-rod junction density; P-R ratio = trabecular plate-to-rod ratio; rBV/TV = rod bone volume fraction; rTb.N = trabecular rod number density; rTb.Th = trabecular rod thickness.

  3. a

    p < 0.05 between race within menopausal status.

  4. b

    p < 0.05 between race within menopausal status after adjustment for height, weight, and age.

  5. c

    p < 0.05 after adjustment for height and weight.

Radius
pBV/TV0.11 ± 0.040.08 ± 0.03a,b0.07 ± 0.040.06 ± 0.03<0.0001c0.02c0.02c
rBV/TV0.16 ± 0.030.17 ± 0.02a0.14 ± 0.030.16 ± 0.03a,b0.02c0.04c0.56
P-R ratio0.75 ± 0.320.46 ± 0.19a,b0.53 ± 0.330.39 ± 0.21a,b<0.001c0.160.06c
pTb.N (1/mm)1.49 ± 0.181.38 ± 0.17a,b1.29 ± 0.191.26 ± 0.18<0.001c0.001c0.12
rTb.N (1/mm)1.78 ± 0.171.87 ± 0.12a,b1.72 ± 0.171.81 ± 0.15a,b0.06c0.04c0.84
pTb.Th (mm)0.212 ± 0.010.202 ± 0.01a,b0.208 ± 0.010.202 ± 0.01a,b0.02c0.680.11
rTb.Th (mm)0.219 ± 0.010.215 ± 0.01a,b0.213 ± 0.010.213 ± 0.01<0.001c0.250.03c
P-R Junc.D (1/mm2)3.76 ± 1.173.35 ± 0.99b2.67 ± 0.982.72 ± 1.00<0.001c0.002c0.15
P-P Junc.D (1/mm2)1.96 ± 0.651.59 ± 0.56a,b1.28 ± 0.571.24 ± 0.53<0.001c0.001c0.06c
Tibia
pBV/TV0.16 ± 0.050.11 ± 0.04a,b0.14 ± 0.040.11 ± 0.04a,b0.040.600.18
rBV/TV0.13 ± 0.030.16 ± 0.03a,b0.11 ± 0.030.15 ± 0.03a,b0.04c0.700.19
P-R ratio1.40 ± 0.740.78 ± 0.37a,b1.3 ± 0.620.78 ± 0.40a,b0.570.940.69
pTb.N (1/mm)1.57 ± 0.101.50 ± 0.13a,b1.50 ± 0.091.48 ± 0.13<0.01c0.500.09
rTb.N (1/mm)1.68 ± 0.181.82 ± 0.16a,b1.58 ± 0.161.80 ± 0.17a,b0.02c0.640.12
pTb.Th (mm)0.227 ± 0.020.217 ± 0.01a,b0.226 ± 0.010.216 ± 0.01a,b0.740.590.93
rTb.Th (mm)0.216 ± 0.010.216 ± 0.010.220 ± 0.010.216 ± 0.01a0.06c0.850.18
P-R Junc.D (1/mm2)3.58 ± 0.743.69 ± 0.723.00 ± 0.553.60 ± 0.80a,b0.001c0.520.03c
P-P Junc.D (1/mm2)2.20 ± 0.411.98 ± 0.46a,b1.87 ± 0.341.92 ± 0.470.002c0.500.04c
Table 4. Whole and Trabecular Bone Stiffness in Chinese-American and White Premenopausal and Postmenopausal Women
 Chinese-American premenopausalWhite premenopausalChinese-American postmenopausalWhite postmenopausalChinese-American postmenopausal versus premenopausal (p value)White postmenopausal versus premenopausal (p value)Interaction (p value)
  1. Values represent unadjusted mean ± SD.

  2. a

    p < 0.05 between race within menopausal status.

  3. b

    p < 0.05 between race within menopausal status after adjustment for height, weight, and age.

  4. c

    p < 0.05 after adjustment for height and weight.

Radius
Whole bone stiffness (kN/mm)94.0 ± 16.882.6 ± 15.5a,b71.6 ± 12.568.4 ± 15.6b<0.0001c<0.0001c0.08
Trabecular stiffness (kN/mm)16.9 ± 9.314.6 ± 8.6b7.2 ± 6.98.7 ± 6.2<0.0001c<0.0001c0.11
Tibia
Whole bone stiffness (kN/mm)249.5 ± 45.0231.3 ± 42.4a,b207.4 ± 32.0206.3 ± 39.0<0.0001c0.001c0.16
Trabecular stiffness (kN/mm)90.6 ± 29.482.5 ± 29.9b75.1 ± 26.182.3 ± 31.40.030.960.09

After adjustment for age, height, and weight, racial differences in bone area (Table 2) and radius rBV/TV (Table 3) were attenuated and no longer significant. After adjustment, radial P-R Junc.D as well as trabecular stiffness at both sites were significantly higher in Chinese-American versus white women (p < 0.05 for all).

Postmenopausal women

In postmenopausal women, as in premenopausal women (Table 2), Chinese-American women had smaller bone area than their white counterparts (radius: −10%, p = 0.01; tibia: −9%, p = 0.01) whereas cortical thickness was higher in Chinese-American women (radius: +18%, p = 0.0005; tibia: +17%, p = 0.006). However, unlike in premenopausal women, in the postmenopausal group Dtrab did not differ between Chinese-American and white women (Table 2).

Despite the same Dtrab between both postmenopausal cohorts, pBV/TV was higher in Chinese-American compared with white women at the tibia (+27%, p = 0.004). The difference at the radius did not reach significance. Higher pBV/TV was accompanied by lower rBV/TV in Chinese-American postmenopausal versus white women (radius: −13%, p = 0.006; tibia: −27%, p < 0.0001), leading to a higher P-R ratio (radius: +36%, p = 0.002; tibia: +67%, p < 0.0001; Table 3). Although pTb.N was not different at either site between groups, pTb.Th was greater (radius: +3.0%, p = 0.003, tibia: +4.6%, p < 0.001) in Chinese-American women than white women. There was no difference in rTb.Th at the radius whereas it was 2% greater at the tibia in Chinese women (p = 0.03; Table 3).

In contrast to premenopausal women, P-P Junc.D did not differ by race. P-R Junc.D was lower in Chinese-American women than their white counterparts at the tibia (−17%, p < 0.001) but not the radius (Table 3). Neither whole bone nor trabecular stiffness differed between races at either bone site (Table 4).

After adjustment for age, height, and weight, racial differences in bone area (Table 2) and rTb.Th at the tibia (Table 3) were attenuated and no longer significant. After adjustment, whole bone stiffness at the radius (Table 4) was significantly higher in Chinese-American versus white women (p < 0.05).

Postmenopausal versus premenopausal women

Chinese-American women

As shown in Table 2, bone area did not differ between premenopausal and postmenopausal Chinese-American women at either the radius or tibia. However, cortical thickness was 11% and 18% lower at the radius and tibia, respectively (p < 0.01 for both) in the postmenopausal group. Likewise, Dtrab was lower in Chinese-American postmenopausal versus premenopausal women at both bone sites (radius: −28%, tibia: −17%, p < 0.0001 for both; Table 2, Fig. 2A, B).

image

Figure 2. Unadjusted percent differences in HR-pQCT parameters between postmenopausal and premenopausal women within each race at the (A) radius and (B) tibia. *p ≤ 0.05 for white postmenopausal versus premenopausal women; **p ≤ 0.05 for Chinese postmenopausal versus premenopausal women; †p ≤ 0.05 for interaction.

Download figure to PowerPoint

pBV/TV was 36% lower in postmenopausal versus premenopausal Chinese-American women at the radius (p < 0.0001) and 13% lower at the tibia (p = 0.04). rBV/TV at the radius and tibia was 13% and 15% lower, respectively, in postmenopausal versus premenopausal Chinese-American women (p < 0.05 for both). P-R ratio was lower in the postmenopausal group at the radius (radius: −29%, p < 0.001; Table 3, Fig. 3) but not the tibia. pTb.N was lower at both bone sites in the postmenopausal group (radius: −13%, p < 0.001; tibia: −4%, p < 0.01). pTb.Th was lower at the radius (p = 0.02) but not the tibia. Rod thickness was 3% lower in postmenopausal women at the radius (p < 0.001) but no different at the tibia (Table 3, Fig. 3). P-P Junc.D (radius: −34%, tibia: −15%, p < 0.001 for both; Table 3, Fig. 3) and P-R Junc.D (radius: −29%, tibia: −16%, p < 0.01 for both; Table 3, Fig. 3) were lower in postmenopausal versus premenopausal Chinese-American women at both bone sites. Whole bone (radius: −24%, tibia: −17%, p < 0.0001 for both) and trabecular stiffness (radius: −57%, p < 0.0001; tibia: −17%, p = 0.03) were lower at both sites in postmenopausal Chinese-American women compared to their premenopausal counterparts (Table 4, Fig. 3).

image

Figure 3. Unadjusted percent differences in ITS parameters and stiffness between postmenopausal and premenopausal women within each race at the (A) radius and (B) tibia. *p ≤ 0.05 for white postmenopausal versus premenopausal women; **p ≤ 0.05 for Chinese postmenopausal versus premenopausal women; †p ≤ 0.05 for interaction.

Download figure to PowerPoint

After adjustment for height and weight, differences in tibial pBV/TV (Table 3) were no longer significant whereas differences in rTb.N at the radius and rTb.Th at the tibia (Table 3) were accentuated (p < 0.05).

White women

At both the radius and tibia, there was no difference in bone area between premenopausal and postmenopausal white women (Table 2). Cortical thickness was 11% and 23% lower in postmenopausal versus premenopausal women at the radius and tibia (p < 0.01 and p < 0.0001), respectively. Additionally, Dtrab was 12% lower at the radius but not the tibia in postmenopausal white women (Table 2, Fig. 2).

Postmenopausal versus premenopausal women had 25% lower pBV/TV at the radius (p = 0.02) and a 6% lower rBV/TV at the radius (p = 0.04), but there were no differences at the tibia. There were no differences in P-R ratio at either site (Table 3, Fig. 3). pTb.N was 9% lower at the radius (p < 0.001) in postmenopausal versus premenopausal women but did not differ at the tibia (Table 3, Fig. 2). There was no difference in pTb.Th or rTb.Th at either bone site (Table 3, Fig. 3). At the radius, P-P Junc.D was 22% (p = 0.001) lower in postmenopausal versus premenopausal white women but not different at the tibia (Table 3, Fig. 3). P-R Junc.D was 19% lower at the radius (p = 0.002) in the postmenopausal group but did not differ at the tibia (Table 3, Fig. 3). Whole bone stiffness was lower in postmenopausal white women than their premenopausal counterparts at both sites (radius: −17%, p < 0.0001; tibia: −11%, p = 0.001; Table 4, Fig. 3). Trabecular stiffness was 40% lower at the radius (p < 0.001) but not different at the tibia.

Adjustment for height and weight did not change the direction or significance of comparisons between white premenopausal and postmenopausal women.

Comparisons of postmenopausal and premenopausal differences between Chinese-American and white women

There were several interactions between race and menopause status for ITS variables at the radius and tibia (Table 3, Fig. 3). At the radius, there were greater age-related differences in pBV/TV (−36% versus −25%, p = 0.02) and rTb.Th (−3% versus −1%, p = 0.03) in Chinese-American versus white women. The race–menopause status interactions for P-R ratio (−29% versus −15%) and P-P Junc.D (−34% versus −22%) were of borderline significance at the radius (p = 0.06; Table 3). At the tibia, there were greater age-related differences in P-R Junc.D (−16% versus −2%, p = 0.03) and P-P Junc.D (−15% versus −3%, p = 0.04) in Chinese-American versus white women. There were no significant race–menopause status interactions for whole bone or trabecular stiffness (Table 4, Fig. 3). All interaction terms remained significant after adjusting models for height and weight. Additionally, the race–menopause status interactions for P-R ratio and P-P Junc.D became significant after adjusting for covariates (p < 0.05).

Multiple regression modeling of ITS variables

In order to evaluate the contribution of age and years since menopause to trabecular structure, we evaluated age and years since menopause as predictors separately in univariate regression models for ITS parameters (pBV/TV, rBV/TV, P-R ratio, pTb.N, pTb.Th, P-R Junc.D, and P-P Junc.D) and stiffness at the radius and tibia. Age was a significant predictor in all radius ITS and FEA models (p < 0.05), whereas years since menopause was not significant in any model. Similar trends were apparent at the tibia except for the models for rBV/TV, tibial P-R ratio, tibial pTb.Th, and tibia Tb stiffness, for which neither age nor years since menopause were significant predictors.

Discussion

  1. Top of page
  2. ABSTRACT
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgments
  9. References
  10. Supporting Information

Using HR-pQCT and ITS, this is the first study to assess whether there are racial differences in age-related microarchitectural deterioration. Additionally, we also used a newer ITS methodology for assessing the entirety of the trabecular compartment rather than just a cubic subvolume.[31] Using this newer technique, our study confirms our prior findings that premenopausal Chinese-American women have more plate-like trabecular bone and greater plate connectivity than their white counterparts, leading to greater trabecular and whole bone stiffness at both the radius and tibia.[14] In this study, we extend our observations to postmenopausal women. The advantages observed in trabecular morphology in premenopausal Chinese versus white women were less apparent among postmenopausal women, yet several key plate-like trabecular characteristics, such as greater plate-to-rod ratio and greater plate thickness persisted. Although Tb stiffness was similar, thicker and denser cortices were present in postmenopausal Chinese-American versus white women, leading to greater whole bone stiffness at the radius (but not the tibia). Though racial differences in bone size were attenuated and no longer significant after adjusting for covariates, we suspect that racial differences in weight and height are mediators for differences in bone size rather than confounders.

Within each race, there were expected age-related differences in microarchitecture such as reduced cortical thickness and density, decreased plate number, lower fractional volume of plate-like bone, and decreased trabecular connectivity. Our findings, however, further suggest that there are greater age-related differences in trabecular bone, including plate bone volume fraction, plate to rod ratio, rod thickness, and plate connectivity, in Chinese-American versus white women. Given the strong correlations between HR-pQCT and central QCT of the spine and hip,[32] these findings could explain the lower rates of fracture at predominantly cortical sites (hip and forearm) but similar or higher rates of trabecular (vertebral) fracture in Chinese versus white women.

Our data are cross-sectional and we can not rule out the possibility that age-related differences are due to secular changes; however, one alternative explanation for this finding is that the rate of menopause-related or age-related trabecular bone loss is greater in the Chinese-American versus white group. Few studies have assessed racial differences in bone loss and even fewer have included Asian groups. Consistent with our findings, Duan and colleagues[33] reported greater “declines” in trabecular volumetric BMD (vBMD) at the lumbar spine as calculated from dual-energy X-ray absorptiometry (DXA) in Chinese versus white women in a large cross-sectional study. Another cross-sectional study reported greater “rates” of bone loss in the proximal femur in native Chinese versus white, Hispanic, and Black women, using data from the third National Health and Nutrition Examination Survey (NHANES III).[34]

Longitudinal studies assessing racial differences in age-related or menopause related bone loss between Asian and other racial groups are even more uncommon. All have used DXA rather than HR-pQCT. Finkelstein and colleagues[35] reported that Chinese and Japanese women had higher rates of areal bone density loss at the lumbar spine compared with white and African-American women, a finding that was mediated by their lower weight, which has been shown to be a risk factor for greater loss in other studies.[36] This finding is consistent with our results indicating greater trabecular “deterioration” among Chinese-American versus white women. In contrast, another study indicated that Asian men had a slower rate of decline in areal bone density at the femoral neck and hip.[37] This finding is not necessarily inconsistent because this site has a significant amount of cortical bone and our data suggest that ethnic differences in rates of bone loss could be compartment-specific. Alternatively, differences in gender or the racial makeup of the study groups could account for such differences.

Our study did not address pathophysiological mechanisms that might explain the greater age-related differences in trabecular bone in Chinese-American versus white women. Published data suggest lower, rather than higher, levels of bone turnover markers in Asian versus white women and thus do not support the concept that greater trabecular bone loss in Asians is due to greater turnover.[38] One study suggested that greater trabecular bone loss in Asian women is due to lower weight rather than race per se.[35] Whether this mechanism is mediated by reduced mechanical loading in those with lower weight or perhaps lower estrone levels after menopause due to less peripheral aromatization[39-41] or other pathways is unclear and requires further study.

Our study has several limitations. This study used a convenience sample of women, which could have led to sampling bias. Additionally, exclusion criteria limit the generalizability of these results to all premenopausal and postmenopausal populations. Certain exclusion criteria (hormone replacement therapy [HRT] and fracture) would make postmenopausal women less likely to be eligible than premenopausal women; however, there is no evidence that this differed by race. Previous studies by Walker and colleagues[9] and others[13] have used this sample of women and have corroborated findings of other studies in Australia.[11] Given that this is a cross-sectional study and women were not followed longitudinally, there may be unknown differences between the premenopausal and postmenopausal groups that could lead to confounding through generation-specific differences, such as diet and risk factors for osteoporosis. Despite these limitations, our study has several notable strengths. This study is the first to provide data regarding racial variation in age-related differences in bone microarchitecture using HR-pQCT and its related techniques including ITS and µFEA. Future longitudinal studies are needed to confirm the findings suggested by these results. Demonstration of differing patterns of age-related bone loss between races would be important. Such data may explain differences in risk for certain types of fracture, enhance our knowledge of the pathophysiology of osteoporosis, and better equip clinicians to diagnose and treat osteoporosis among minorities.

In summary, there are microstructural advantages in both cortical and trabecular bone in premenopausal Chinese-American versus white women. However, within-race cross-sectional differences between premenopausal and postmenopausal women suggest that there may be greater loss in plate-like trabecular bone and plate connectivity with aging in Chinese-American women. However, advantages such as thicker cortices and more plate-like trabecular bone still persist in postmenopausal Chinese-American versus white women.

Acknowledgments

  1. Top of page
  2. ABSTRACT
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgments
  9. References
  10. Supporting Information

This work was supported by NIH grants K23 AR053507 and R01 AR051376, a National Osteoporosis Foundation grant, Thomas L. Kempner and Katheryn C. Patterson Foundation, and the Mary and David Hoar Fellowship Program of the New York Community Trust and the New York Academy of Medicine. We thank Dr. Clyde Wu for his vision and support of this study.

Authors' roles: MDW: study conception/design, data acquisition, data analysis, interpretation of data; drafted/revised manuscript. XSL: study conception/design, ITS data acquisition, data analysis, interpretation of data, critical revision of manuscript. BZ: ITS data acquisition, critical revision of manuscript. SA: statistical analysis, drafting manuscript. GL: acquisition of data, critical revision of manuscript. DJM: statistical analysis, critical revision of manuscript. JPB: study design, interpretation of data, critical revision of manuscript. XEG: study design, data acquisition, data interpretation, critical revision of manuscript.

References

  1. Top of page
  2. ABSTRACT
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgments
  9. References
  10. Supporting Information
  • 1
    Humes KR, Jones NA, Ramirez RR. Overview of Race and Hispanic Origin: 2010 2010 Census Briefs. 2011.
  • 2
    Barrett-Connor E, Siris ES, Wehren LE, Miller PD, Abbott TA, Berger ML, Santora AC, Sherwood LM. Osteoporosis and fracture risk in women of different ethnic groups. J Bone Miner Res. 2005; 20(2):18594.
  • 3
    Walker MD, Babbar R, Opotowsky AR, Rohira A, Nabizadeh F, Badia MD, Chung W, Chiang J, Mediratta A, McMahon D, Liu G, Bilezikian JP. A referent bone mineral density database for Chinese American women. Osteoporos Int. 2006; 17(6):87887.
  • 4
    Woo J, Li M, Lau E. Population bone mineral density measurements for Chinese women and men in Hong Kong. Osteoporos Int. 2001; 12(4):28995.
  • 5
    Xiaoge D, Eryuan L, Xianping W, Zhiguang Z, Gan H, Zaijing J, Xiaoli P, Hongzhuan T, Hanwen W. Bone mineral density differences at the femoral neck and Ward's triangle: a comparison study on the reference data between Chinese and Caucasian women. Calcif Tissue Int. 2000; 67(3):1958.
  • 6
    Russell-Aulet M, Wang J, Thornton JC, Colt EW, Pierson RN Jr. Bone mineral density and mass in a cross-sectional study of white and Asian women. J Bone Miner Res. 1993; 8(5):57582.
  • 7
    Lauderdale DS, Jacobsen SJ, Furner SE, Levy PS, Brody JA, Goldberg J. Hip fracture incidence among elderly Asian-American populations. Am J Epidemiol. 1997; 146(6):5029.
  • 8
    Xu L, Lu A, Zhao X, Chen X, Cummings SR. Very low rates of hip fracture in Beijing, People's Republic of China the Beijing Osteoporosis Project. Am J Epidemiol. 1996; 144(9):9017.
  • 9
    Walker MD, McMahon DJ, Udesky J, Liu G, Bilezikian JP. Application of high-resolution skeletal imaging to measurements of volumetric BMD and skeletal microarchitecture in Chinese-American and white women: explanation of a paradox. J Bone Miner Res. 2009; 24(12):19539.
  • 10
    Walker MD, Liu XS, Stein E, Zhou B, Bezati E, McMahon DJ, Udesky J, Liu G, Shane E, Guo XE, Bilezikian JP. Differences in bone microarchitecture between postmenopausal Chinese-American and white women. J Bone Miner Res. 2011.
  • 11
    Wang XF, Wang Q, Ghasem-Zadeh A, Evans A, McLeod C, Iuliano-Burns S, Seeman E. Differences in macro- and microarchitecture of the appendicular skeleton in young Chinese and white women. J Bone Miner Res. 2009; 24(12):194652.
  • 12
    Liu XS, Sajda P, Saha PK, Wehrli FW, Guo XE. Quantification of the roles of trabecular microarchitecture and trabecular type in determining the elastic modulus of human trabecular bone. J Bone Miner Res. 2006; 21(10):160817.
  • 13
    Liu XS, Sajda P, Saha PK, Wehrli FW, Bevill G, Keaveny TM, Guo XE. Complete volumetric decomposition of individual trabecular plates and rods and its morphological correlations with anisotropic elastic moduli in human trabecular bone. J Bone Miner Res. 2008; 23(2):22335. [dup of Ref. 29; change Ref. 29 citations to Ref. 13].
  • 14
    Liu XS, Walker MD, McMahon DJ, Udesky J, Liu G, Bilezikian JP, Guo XE. Better skeletal microstructure confers greater mechanical advantages in Chinese-American women versus white women. J Bone Miner Res. 2011; 26(8):178392.
  • 15
    Hertzler A, Frary R. A dietary rapid assessment method (RAM). Top Clin Nutr. 1994; 9:7685.
  • 16
    Boutroy S, Bouxsein ML, Munoz F, Delmas PD. In vivo assessment of trabecular bone microarchitecture by high-resolution peripheral quantitative computed tomography. J Clin Endocrinol Metab. 2005; 90(12):650815.
  • 17
    Boutroy S, van Rietbergen B, Sornay-Rendu E, Munoz F, Bouxsein ML, Delmas PD. Finite Element Analyses Based on In Vivo HR-pQCT Images of the Distal Radius is Associated with Wrist Fracture in Postmenopausal Women. J Bone Miner Res. 2008; 23(3):3929. [change Ref. 19 citations to Ref. 17].
  • 18
    Sornay-Rendu E, Boutroy S, Munoz F, Delmas PD. Alterations of cortical and trabecular architecture are associated with fractures in postmenopausal women, partially independent of decreased BMD measured by DXA: the OFELY study. J Bone Miner Res. 2007; 22(3):42533.
  • 19
    Cohen A, Liu XS, Stein EM, McMahon DJ, Rogers HF, Lemaster J, Recker RR, Lappe JM, Guo XE, Shane E. Bone microarchitecture and stiffness in premenopausal women with idiopathic osteoporosis. J Clin Endocrinol Metab. 2009; 94(11):435160.
  • 20
    Stein EM, Liu XS, Nickolas TL, Cohen A, Thomas V, McMahon DJ, Zhang C, Yin PT, Cosman F, Nieves J, Guo XE, Shane E. Abnormal microarchitecture and reduced stiffness at the radius and tibia in postmenopausal women with fractures. J Bone Miner Res. J Bone Miner Res. 25(12):2296305. [change Ref. 23 citations to Ref. 21].
  • 21
    Liu XS, Zhang XH, Sekhon KK, Adams MF, McMahon DJ, Bilezikian JP, Shane E, Guo XE. High-resolution peripheral quantitative computed tomography can assess microstructural and mechanical properties of human distal tibial bone. J Bone Miner Res. 2010; 25(4):74656.
  • 22
    Sode M, Burghardt AJ, Kazakia GJ, Link TM, Majumdar S. Regional variations of gender-specific and age-related differences in trabecular bone structure of the distal radius and tibia. Bone. 2010; 46(6):165260.
  • 23
    Saha PK, Chaudhuri BB, Majumder DD. A new shape preserving parallel thinning algorithm for 3D digital images. Pattern Recogn. 1997; 30(12):193955.
  • 24
    Saha PK, Chaudhuri BB. Detection of 3-D simple points for topology preserving. IEEE Trans Pattern Anal Mach Intell. 1994; 16(10):102832.
  • 25
    Saha PK, Chaudhuri BB, Chanda B, Dutta Majumder D. Topology preservation in 3D digital space. Pattern Recogn. 1994; 27:295300.
  • 26
    Saha PK, Chaudhuri BB. 3D digital topology under binary transformation with applications. Comput Vis Image Underst. 1996; 63(3):41829.
  • 27
    Guo XE, Goldstein SA. Is trabecular bone tissue different from cortical bone tissue?. Forma. 1997; 12:18596.
  • 28
    Macneil JA, Boyd SK. Bone strength at the distal radius can be estimated from high-resolution peripheral quantitative computed tomography and the finite element method. Bone. 2008; 42(6):120313.
  • 29
    Melton LJ 3rd, Christen D, Riggs BL, Achenbach SJ, Muller R, van Lenthe GH, Amin S, Atkinson EJ, Khosla S. Assessing forearm fracture risk in postmenopausal women. Osteoporos Int. 2010; 21(7):11619.
  • 30
    Vilayphiou N, Boutroy S, Sornay-Rendu E, Van Rietbergen B, Munoz F, Delmas PD, Chapurlat R. Finite element analysis performed on radius and tibia HR-pQCT images and fragility fractures at all sites in postmenopausal women. Bone. 2010; 46(4):10307.
  • 31
    Liu XS, Stein EM, Zhou B, Zhang CA, Nickolas TL, Cohen A, Thomas V, McMahon DJ, Cosman F, Nieves J, Shane E, Guo XE. Individual trabecula segmentation (ITS)-based morphological analyses and microfinite element analysis of HR-pQCT images discriminate postmenopausal fragility fractures independent of DXA measurements. J Bone Miner Res. 2012; 27(2):26372.
  • 32
    Liu XS, Cohen A, Shane E, Yin PT, Stein EM, Rogers H, Kokolus SL, McMahon DJ, Lappe JM, Recker RR, Lang T, Guo XE. Bone density, geometry, microstructure, and stiffness: Relationships between peripheral and central skeletal sites assessed by DXA, HR-pQCT, and cQCT in premenopausal women. J Bone Miner Res. 2010; 25(10):222938.
  • 33
    Duan Y, Wang XF, Evans A, Seeman E. Structural and biomechanical basis of racial and sex differences in vertebral fragility in Chinese and Caucasians. Bone. 2005.
  • 34
    Hou YL, Wu XP, Luo XH, Zhang H, Cao XZ, Jiang YB, Liao EY. Differences in age-related bone mass of proximal femur between Chinese women and different ethnic women in the United States. J Bone Miner Metab. 2007; 25(4):24352.
  • 35
    Finkelstein JS, Brockwell SE, Mehta V, Greendale GA, Sowers MR, Ettinger B, Lo JC, Johnston JM, Cauley JA, Danielson ME, Neer RM. Bone mineral density changes during the menopause transition in a multiethnic cohort of women. J Clin Endocrinol Metab. 2008; 93(3):8618.
  • 36
    Yin MT, Zhang CA, McMahon DJ, Ferris DC, Irani D, Colon I, Cremers S, Shane E. Higher rates of bone loss in postmenopausal HIV-infected women: a longitudinal study. J Clin Endocrinol Metab. 2012; 97(2):55462.
  • 37
    Sheu Y, Cauley JA, Wheeler VW, Patrick AL, Bunker CH, Ensrud KE, Orwoll ES, Zmuda JM. Age-related decline in bone density among ethnically diverse older men. Osteoporos Int. 2011; 22(2):599605.
  • 38
    Finkelstein JS, Sowers M, Greendale GA, Lee ML, Neer RM, Cauley JA, Ettinger B. Ethnic variation in bone turnover in pre- and early perimenopausal women: effects of anthropometric and lifestyle factors. J Clin Endocrinol Metab. 2002; 87(7):30516.
  • 39
    Baglietto L, English DR, Hopper JL, MacInnis RJ, Morris HA, Tilley WD, Krishnan K, Giles GG. Circulating steroid hormone concentrations in postmenopausal women in relation to body size and composition. Breast Cancer Res Treat. 2009; 115(1):1719.
  • 40
    Boyapati SM, Shu XO, Gao YT, Dai Q, Yu H, Cheng JR, Jin F, Zheng W. Correlation of blood sex steroid hormones with body size, body fat distribution, and other known risk factors for breast cancer in post-menopausal Chinese women. Cancer Causes Control. 2004; 15(3):30511.
  • 41
    Mahabir S, Baer DJ, Johnson LL, Hartman TJ, Dorgan JF, Campbell WS, Clevidence BA, Taylor PR. Usefulness of body mass index as a sufficient adiposity measurement for sex hormone concentration associations in postmenopausal women. Cancer Epidemiol Biomarkers Prev. 2006; 15(12):25027.

Supporting Information

  1. Top of page
  2. ABSTRACT
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgments
  9. References
  10. Supporting Information

Additional Supporting Information may be found in the online version of this article.

FilenameFormatSizeDescription
jbmr1860-sm-0001-ChineseTranslation.pdf722KChineseTranslation Data

Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.