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Lee, Ahn, Shin, Kim, Lee, Choi, and Kweon: Association between Plasma Pentraxin 3 Levels and Bone Mineral Density in Elderly Koreans: the Dong-gu Study
Original Article
Endocrinology, Nutrition & Metabolism

Journal of Korean Medical Science 2018; 33(23): e165.

Published online: 9 May 2018

DOI: https://doi.org/10.3346/jkms.2018.33.e165

Association between Plasma Pentraxin 3 Levels and Bone Mineral Density in Elderly Koreans: the Dong-gu Study

Ran Lee1, *, Hye-Ran Ahn2, *, Min-Ho Shin1, Hee-Nam Kim1, Young-Hoon Lee3, Seong-Woo Choi4, Sun-Seog Kweon1, 5

1Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea.

2Department of Nursing, Nambu University, Gwangju, Korea.

3Department of Preventive Medicine and Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Korea.

4Department of Preventive Medicine, Chosun University Medical School, Gwangju, Korea.

5Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea.

Address for Correspondence: Sun-Seog Kweon, MD, PhD. Department of Preventive Medicine, Chonnam National University Medical School, 264 Seoyang-ro, Hwasun 58128, Republic of Korea. ujingogo@paran.com

Equal contributor:

*Ran Lee and Hye-Ran Ahn contributed equally to this work.

Received 12 October 2017       Accepted 4 April 2018

© 2018 The Korean Academy of Medical Sciences.

The Korean Academy of Medical Sciences

(open-access, https://creativecommons.org/licenses/by-nc/4.0/):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

We investigated the association between pentraxin 3 (PTX3), a novel inflammatory marker, and bone mineral density (BMD) in the general Korean population.

Methods

We selected a sub-cohort of 1,440 subjects (757 men and 683 women) from participants in the community-based Dong-gu Study. The mean age was 66.0 ± 8.1 years for men and 63.7 ± 7.9 years for women. The plasma PTX3 levels were measured using an enzyme-linked immunosorbent assay, and BMD was measured in the femoral neck and lumbar spine using dual-energy X-ray absorptiometry. Linear regression analyses were used to evaluate the association between the plasma PTX3 levels and BMD.

Results

PTX3 was inversely associated with the BMD of the lumbar spine (P = 0.010) and femoral neck (P < 0.001) in men but not in women. For men, the association with the BMD of the femoral neck remained after adjustment for multiple comparison (P = 0.020).

Conclusion

This study suggests that PTX3 levels might be inversely associated with BMD in elderly men.

Graphical Abstract

jkms-33-e165-abf001.jpg

Keywords: Pentraxin 3, Bone Mineral Density, Korean, Elderly, Inflammatory Marker

INTRODUCTION

The increasing prevalence of osteoporosis is a major public health problem, especially in the elderly. The prevalence of osteoporosis in Korea is higher than that in most western countries1 and other Asian countries, including Japan2 and China.3 According to the 2008–2011 Korea National Health and Nutrition Examination Survey, the prevalence of osteoporosis is 38% in women and 7.3% in men aged 50 years and older, and the prevalence has been increasing annually.4 Osteoporosis was the third leading cause of quality-adjusted life-year loss in Korean women, following hypertension and arthritis.5
Bone mineral density (BMD) is associated with several serum inflammatory markers, including C-reactive protein (CRP)6 and T-cell derived cytokines, tumor necrosis factor-alpha (TNF-α) and interleukin (IL)-1.7 These studies suggested that an inflammatory response induces osteoclast formation, thereby leading to early bone loss and osteoporosis.67
Long pentraxin 3 (PTX3) is a novel inflammatory marker that belongs to the same superfamily of acute-phase reactants as CRP. PTX3 is thought to be associated with several inflammation-related diseases, including cardiovascular disease (CVD).8 Osteoporosis shares risk factors, such as aging, smoking, physical inactivity, alcohol intake, early menopause, and postmenopausal status, with the CVD.9 Common pathogenic traits, including inflammatory processes, might play a role in the development or progress of the diseases. There are genetic risk factors that are common to both CVD and osteoporosis.10 It can be hypothesized that the plasma PTX3 levels is associated with both osteoporosis and CVD. However, the association between PTX3 and BMD has not been evaluated epidemiologically. Therefore, we investigated the possible association between BMD and the plasma PTX3 levels in middle-aged and elderly Koreans who participated in a community-based cohort study.

METHODS

Subjects

The Dong-gu Study is an ongoing prospective study of the prevalence, incidence, and risk factors for chronic disease in Korean urban populations. Details of the study subjects and measurements have been published previously.11 Between 2007 and 2010, a total of 9,260 urban dwellers participated in the baseline examination. From these participants, a subcohort of 2,000 subjects (1,000 men and 1,000 women) was randomly selected for this analysis. After excluding 217 subjects (126 men and 91 women) who had incomplete BMD measurement data or a history of severe chronic disease, including myocardial infarction, stroke, and cancer, and 285 subjects who had history of regular calcium intake (82 men and 203 women), a total of 1,440 participants (757 men and 683 women) were included in the final analyses.

PTX3 assay

The plasma PTX3 concentration was determined using an enzyme-linked immunosorbent assay kit (Quantikine R&D International, Minneapolis, MN, USA), according to the manufacturer's protocol. This assay is a quantitative sandwich enzyme immunoassay technique. The assay was performed using plasma that had been stored frozen at −70°C and the PTX3 levels were all measured at the same time using reagents with the same lot numbers to reduce the measurement variability. According to the protocol, the intra-assay coefficient of variation (CV) was 3.93% and the inter-assay CV was 5.06% according to the protocol. The minimum detectable dose (MDD) of human PTX3 ranged from 0.007–0.116 ng/mL and the mean MDD was 0.025 ng/mL.

Measurements of BMD and other variables

BMD was measured in g/cm2 at the lumbar spine and femoral neck using dual-energy X-ray absorptiometry (Prodigy; GE, Madison, WI, USA). The lumbar spine BMD was calculated as the average BMD of L1–L4, and femoral neck as the average BMD of left and right femoral neck. For quality control, daily phantom scans were performed before the measurements. All BMD scans were performed by well-trained examiners using standardized procedures following the manufacturer's recommended protocols. The intra-scanner reproducibility of repeated measurements, expressed as the CV, was less than 1%. Details of the BMD measurement have been published previously.1213
Demographic factors, health habits (smoking status, alcohol consumption, and regular exercise), menopausal status, and calcium medication history for osteoporosis were assessed with a questionnaire survey. Details of the height and weight measurements have been described previously.11 Hemoglobin A1c (HbA1c) levels were analyzed by high-performance liquid chromatography using the VARIANT II system (Bio-Rad, Hercules, CA, USA). Fasting glucose, lipid profiles, and bilirubin were analyzed using enzymatic assays with an automatic analyzer (Hitachi-7600; Hitachi, Tokyo, Japan). High-sensitive serum CRP (hs-CRP) was measured by latex-enhanced nephelometry using a high-sensitivity assays analyser (Behring Nephelometer II; Dade-Behring Diagnostics, Marburg, Germany). The MDD of the assay for hs-CRP was 0.175 mg/L.

Statistical analysis

Differences in the demographic and clinical characteristics among the subjects were evaluated by χ2 or t-tests according to whether the variables were categorical or continuous. The standardized beta coefficient of the univariate linear regression was used to analyze associations with BMD involving continuous variables, including age, body mass index (BMI), waist-to-hip ratio (WHR), hs-CRP, white blood cell count (WBC), HbA1c, total cholesterol, triglyceride, high-density lipoprotein (HDL)-cholesterol, uric acid (UA), and total bilirubin. Multiple linear regression was used to evaluate the association between the plasma PTX3 levels and BMD. Conventional factors which were significantly associated with BMD in univariate model were all inserted into the multivariate model, including age, BMI, WHR, HbA1c, HDL-cholesterol, UA, and regular exercise. To correct the potential false positive error by the multiple comparison test, a P value < 0.025 was considered statistically significant in the multivariate model because we tested two sites of BMD simultaneously. The statistical analyses were performed using SPSS version 21 (IBM, Armonk, NY, USA).

Ethics statement

The present study protocol was reviewed and approved by the Institutional Review Board of Chonnam National University Hospital (IRB No. I-008-05-05). Informed consent was submitted by all subjects when they were enrolled in baseline examination.

RESULTS

The baseline characteristics of the 1,440 subjects are presented in the Table 1. The mean age was 66.0 ± 8.1 years for men and 63.7 ± 7.9 years for women. Among the 683 women subjects, most were menopaused (96.0%) and never smoker (95.6%). The respective mean BMIs, hs-CRPs, and WBCs were different (23.8 ± 2.7 kg/m2, 0.17 ± 0.46 mg/dL, and 6.07 ± 1.61 × 103/μL for men and 24.7 ± 2.9 kg/m2, 0.12 ± 0.24 mg/dL, and 5.62 ± 1.63 × 103/μL for women). The levels of total cholesterol, HDL-cholesterol, UA, and total bilirubin were also different between sexes. The mean BMD (g/cm2) at the lumbar spine and femoral neck was significant higher in men (1.157 ± 0.198 and 0.880 ± 0.127) than in women (0.998 ± 0.171 and 0.796 ± 0.125; P < 0.001). However, no difference was found in PTX3 levels (Table 1). PTX3 levels was significantly correlated with the other inflammatory markers, such as hs-CRP and WBC count (Table 2).
Table 1

Demographic and clinical characteristics of the subjects (n = 1,440)

jkms-33-e165-i001
Variables, unit Men (n = 757) Women (n = 683) P value
Age, yr 66.0 ± 8.12 63.7 ± 7.91 < 0.001
BMI, kg/m2 23.8 ± 2.68 24.7 ± 2.97 < 0.001
WHR 0.93 ± 0.05 0.94 ± 0.07 0.062
CRP, mg/dL 0.17 ± 0.46 0.12 ± 0.24 0.019
WBC count (× 103 /µL) 6.07 ± 1.61 5.62 ± 1.63 < 0.001
HbA1c (%) 5.81 ± 0.94 5.80 ± 0.83 0.828
Cholesterol, mg/dL 191.5 ± 38.5 209.7 ± 38.1 < 0.001
Triglyceride, mg/dL 149.0 ± 138.3 140.6 ± 86.4 0.160
HDL-cholesterol, mg/dL 50.0 ± 12.1 53.2 ± 12.6 < 0.001
UA, mg/dL 5.73 ± 1.33 4.45 ± 1.05 < 0.001
Total bilirubin, mg/dL 0.88 ± 0.51 0.71 ± 0.25 < 0.001
PTX3, ng/mL 1.26 ± 1.44 1.19 ± 1.16 0.360
BMD in lumbar spine, g/cm2 1.157 ± 0.198 0.998 ± 0.171 < 0.001
BMD in femoral neck, g/cm2 0.880 ± 0.127 0.796 ± 0.125 < 0.001
Regular exercise < 0.001
Yes 289 (38.4) 190 (27.9)
No 463 (61.6) 490 (72.1)
Smoke < 0.001
Never smoker 203 (26.9) 652 (95.6)
Current/ex-smoker 552 (73.1) 30 (4.4)
Menopausal status -
Post-menopausal - 656 (96.0)
Pre-menopausal - 27 (4.0)
Values are presented as mean ± standard deviation (range) or number (%).
BMI = body mass index, WHR = waist-to-hip ratio, CRP = C-reactive protein, WBC = white blood cell count, HbA1c = hemoglobin A1c, HDL = high-density lipoprotein, UA = uric acid, PTX3 = pentraxin 3, BMD = bone mineral density.
Table 2

Correlation of PTX3 with CRP and BMDs (n = 1,440)

jkms-33-e165-i002
Variables PTX3, ng/mL
Men (n = 757) Women (n = 683)
r P value r P value
CRP, mg/dL 0.119 0.001 0.083 0.029
WBC count (× 103/uL) 0.076 0.037 0.129 0.001
BMD in lumbar spine, g/cm2 −0.079 0.031 −0.075 0.050
BMD in femoral neck, g/cm2 −0.119 0.001 −0.117 0.002
Data are presented as Pearson correlation coefficients. PTX3 data was log-transformed prior to analysis.
PTX3 = pentraxin 3, CRP = C-reactive protein, BMD = bone mineral density, WBC = white blood cell.
Table 3 shows the association of BMDs with continuous variables, including PTX3 levels, based on the linear regression. The BMDs in both sites were positively associated with BMI, WHR, and HbA1c for men and with BMI and UA for women (all P < 0.05). The BMD in either region was inversely correlated with the HDL-cholesterol and PTX3 in men. The WHR inversely associated with the femoral neck BMD for women (Table 3).
Table 3

The linear regression for the association between BMD and various clinical factors including PTX3

jkms-33-e165-i003
Sites Men (n = 757) Women (n = 683)
Coefficient P value Coefficient P value
Lumbar spine
Age −0.038 0.290 −0.404 < 0.001
BMI 0.367 < 0.001 0.264 < 0.001
WHR 0.161 < 0.001 −0.075 0.052
CRP 0.050 0.167 −0.008 0.828
WBC −0.018 0.625 −0.025 0.520
HbA1c 0.134 < 0.001 −0.001 0.969
Cholesterol −0.033 0.358 0.028 0.463
Triglyceride 0.013 0.730 0.038 0.325
HDL-cholesterol −0.076 0.037 0.020 0.600
UA 0.080 0.027 0.130 0.001
Total bilirubin −0.047 0.195 −0.031 0.414
PTX3 −0.094 0.010 −0.054 0.155
Regular exercise 0.136 < 0.001 0.009 0.824
Ever smoking −0.019 0.602 −0.011 0.766
Femoral neck
Age −0.281 < 0.001 −0.567 < 0.001
BMI 0.332 < 0.001 0.236 < 0.001
WHR 0.122 0.001 −0.108 0.005
CRP −0.048 0.191 −0.077 0.043
WBC −0.043 0.234 −0.133 0.001
HbA1c 0.080 0.028 −0.020 0.600
Cholesterol −0.025 0.489 0.006 0.867
Triglyceride 0.052 0.153 −0.006 0.877
HDL-cholesterol −0.075 0.040 0.050 0.191
UA 0.049 0.175 0.080 0.037
Total bilirubin −0.030 0.404 0.080 0.037
PTX3 −0.129 < 0.001 −0.059 0.124
Regular exercise 0.130 < 0.001 0.046 0.227
Ever smoking 0.038 0.291 −0.090 0.018
BMD = bone mineral density, PTX3 = pentraxin 3, BMI = body mass index, WHR = waist-to-hip ratio, CRP = C-reactive protein, WBC = white blood cell count, HbA1c = hemoglobin A1c, HDL = high-density lipoprotein, UA = uric acid.
Table 4 shows the association between BMD and the PTX3 levels after adjusting for other factors by lumbar spine and mean BMD of right and left femoral necks for men. Significant inverse association was maintained for femoral neck after adjustment for multiple comparison test (P = 0.020). For women, no significant association was in both sites (Table 4). When we stratified the women by menopausal status, no significant association between BMD and the PTX3 levels was found in pre- or post-menopausal women (data not shown).
Table 4

The multivariate linear regression for the association between BMD and PTX3 levels in men subjects

jkms-33-e165-i004
Variables Lumbar spine Femoral neck
Coefficient P value Coefficient P value
Age 0.026 0.462 −0.241 < 0.001
BMI 0.377 < 0.001 0.276 < 0.001
WHR −0.048 0.235 0.003 0.948
HbA1c 0.130 < 0.001 0.081 0.017
HDL-cholesterol 0.025 0.482 −0.010 0.782
UA 0.038 0.276 −0.011 0.747
PTX3 −0.056 0.041 −0.078 0.020
Regular exercise 0.112 0.001 0.124 < 0.001
BMD = bone mineral density, PTX3 = pentraxin 3, BMI = body mass index, WHR = waist-to-hip ratio, HbA1c = hemoglobin A1c, HDL = high-density lipoprotein, UA = uric acid.

DISCUSSION

This study evaluated the association between plasma PTX3 levels and BMD in a Korean population. To our knowledge, this is the first study to investigate the relationship between BMD and plasma PTX3 levels in a general population. We found a significant association between the PTX3 levels and the BMD in men, but no significant association was found in women.
PTX3, the prototype protein of the long pentraxin group, is an essential component of innate immunity that is produced by immune and vascular cells in response to pro-inflammatory signals. A homeostasis-related function of PTX3 in tissue repair and matrix remodeling has also been recognized.14 Persistent elevation of PTX3 levels is associated with disease severity and increased morbidity in diverse clinical pathological conditions, including atherosclerosis and cancer.15 A multiethnic cohort study found that PTX3 was associated with both CVD-related and all-cause mortality.8 However, the presence of PTX3 in bone-related cells and the role of PTX3 in bone-related diseases have not been elucidated.
Inflammation is a major cause of the bone homeostasis imbalance that results in excessive bone resorption. Some studies suggest that an inflammatory response induces the formation of osteoclasts, thereby leading to early bone loss and osteoporosis.16 Tumor necrosis factor-stimulated gene-6 (TSG-6), also known as TNFIP6, can regulate the expression of various molecules that have important roles in the control of inflammation.17 TSG-6 also interacts with a wide spectrum of glycosaminoglycan and protein ligands, including PTX3.18 This protein is induced by a number of signaling molecules, such as TNF-α and IL-1,19 and inhibits osteoclast activity by interacting with osteoprotegerin in bone.20 Therefore, PTX3 can potentially disrupt the function of TSG-6 and consequently promote bone loss in inflamed bone. It is also possible that PTX3 is secreted from osteoblasts and induces receptor activator of nuclear factor-κB ligand (RANKL) expression and production, thereby promoting osteoclast differentiation in the bone environment.
Therefore, we hypothesized that the serum PTX3 levels is associated with the BMD in the general population and analyzed the association between PTX3 and BMD using a community-based subcohort. Although, we found a correlation between PTX3 and BMD in lumbar spine and femoral neck, no significant association between PTX3 levels and BMD in women was observed in multivariate model. Furthermore, the association observed between PTX3 and BMD in lumbar spine in men was no longer statistically significant after multiple comparison adjustment. Several factors might explain the discrepancies by sex and site. First, Menopausal status has a dominant impact on BMD and could mask the effect of the PTX3 levels in postmenopausal women. For men, there is no dominant determinant of BMD like menopause for women. Second, effect of inflammation on bone formation may be influenced by skeletal load and protective effect of estrogen produced by adipose tissue. The gender difference in the association between inflammatory markers and BMD may relate to different interaction with these potential mediators in the causal pathway between inflammation and BMD across the sexes. In our data, PTX3 was reversely associated with BMI in men, but not in women subjects. This gender difference in the association of inflammatory marker with BMD is consistent with data from a previous study,21 but inconsistent with the findings from other studies.2223 Third, measurement errors are more common for the lumbar BMD than the femoral neck BMD because of severe osteolytic change or osteophyte body compression in elderly subjects.24 This osteoarthritis with osteophyte formation may mask bone loss in lumbar spine.25 As a result, the femoral neck has better validity for BMD measurements than the lumbar spine. Consequently, an association between BMD and PTX3 was found only in men and only for the femoral neck. It is necessary to increase the number of samples or to measure premenopausal women. The association of inflammatory markers with risk of osteoporotic fracture has been also evaluated in many studies, but the findings were still inconsistent with discrepancies between different population or genders or markers.2126272829 In our study, the proportion of subjects who reported their non-traumatic fracture history is significantly increased with higher PTX3 levels (data not shown). The finding suggests that the PTX3 levels may be associated with the risk of non-traumatic fracture but cannot confirm the causation due to the uncertainty of the temporal relationship.
The main strengths of this study are that the subjects were selected randomly from participants in a large community-based cohort. Consequently, the findings are more generalizable than findings from hospital-based studies. We measured the plasma PTX3 levels using same reagent lot numbers, which should reduce the PTX3 measurement error. This study also has several limitations. First, the age distribution of the study subjects was skewed to the elderly. Because most of the women studied were postmenopausal (96%), the characteristics of premenopausal women were not reflected in the findings. Second, residual confounding might have affected the main results and contributed to the relatively weak levels of significance because the results were not adjusted for all potential confounders, such as family history of osteoporosis or alcohol cirrhosis, dietary habits, and use of osteoporosis medication. Third, this study cannot be used to determine negative causal relationships because of its cross-sectional design and low statistical power due to relatively small sample size, especially in multivariate analyses.
In conclusion, there was inverse correlation between plasma PTX3 levels and BMD both in the lumbar spine and femoral neck in men, but the associations were weakened in the multivariate model, especially for the region of lumbar spine. Further prospective studies with large study subjects need to confirm the association between PTX3 and BMD, or examine the functional and clinical relevance of the plasma PTX3 levels and BMD.

Notes

Funding: This research was supported by National Research Foundation of Korea (NRF) funded by the Ministry of Science (grant number: 2017R1C1B5016174).

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions: Conceptualization: Ahn HR, Shin MH, Kweon SS. Data curation: Kim HN. Formal analysis: Ahn HR. Investigation: Ahn HR, Shin MH, Lee YH, Choi SW, Kweon SS. Methodology: Lee R. Writing - original draft: Lee R. Writing - review & editing: Kweon SS.

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TOOLS
ORCID iDs

Ran Lee
https://orcid.org/0000-0001-7285-2999

Hye-Ran Ahn
https://orcid.org/0000-0003-3335-270X

Min-Ho Shin
https://orcid.org/0000-0002-2217-5624

Hee-Nam Kim
https://orcid.org/0000-0002-6153-2612

Young-Hoon Lee
https://orcid.org/0000-0003-1367-025X

Seong-Woo Choi
https://orcid.org/0000-0002-6150-3934

Sun-Seog Kweon
https://orcid.org/0000-0003-2378-8550

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