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Multicenter Study
. 2015 Nov 3;6(34):35395-403.
doi: 10.18632/oncotarget.6173.

Association between serum uric acid and bone health in general population: a large and multicentre study

Xianfeng Lin  1 , Chenchen Zhao  1 , An Qin  2 , Dun Hong  3 , Wenyue Liu  4 , Kangmao Huang  1 , Jian Mo  1 , Hejun Yu  1 , Shengjie Wu  5 , Shunwu Fan  1
Affiliations
Multicenter Study

Association between serum uric acid and bone health in general population: a large and multicentre study

Xianfeng Lin et al. Oncotarget. .

Abstract

Previous studies proposed that serum uric acid (UA), an endogenous antioxidant, could be a protective factor against bone loss. However, recently, a study with a population of US adults did not note the protective effects of serum UA. Therefore, the exact association between serum UA and bone health remains unclear. We performed a retrospective consecutive cohort study in a Chinese population to examine the association between serum UA and bone health. This cross-sectional study included 17,735 individuals who underwent lumbar spine bone mineral density (BMD) measurements as part of a health examination. In covariance analyses (multivariable-adjusted), a high serum UA level was associated with a high BMD, T-score, and Z-score. In binary logistic regression analyses (multivariable-adjusted), a high serum UA level was associated with low odds ratios (ORs) for at least osteopenia and osteoporosis in male (age ≥50 years) (OR = 0.72-0.60 and OR = 0.49-0.39, respectively) and postmenopausal female participants (OR = 0.61-0.51 and OR = 0.66-0.49, respectively). In conclusion, serum UA is associated with BMD, the T-score, and the Z-score, and has a strong protective effect against at least osteopenia and osteoporosis.

Keywords: DXA; Gerotarget; bone health; bone mass loss; bone mineral density; serum uric acid.

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Conflict of interest statement

CONFLICTS OF INTEREST

Xianfeng Lin, Chenchen Zhao, An Qin, Dun Hong, Wenyue Liu, Kangmao Huang, Jian Mo, Hejun Yu, Shengjie Wu, and Shunwu Fan declare that they have no conflict of interest

Figures

Figure 1
Figure 1. Flow chart of study inclusion
A total of 22,409 participants were enrolled. According to the exclusion criteria, 4,674 participants were excluded. Finally, 17,735 participants (10,596 male and 7,139 female participants) were included.
Figure 2
Figure 2. Bone mineral density (BMD) in each quartile of serum uric acid (Q1, Q2, Q3, and Q4)
a. Unadjusted BMD. b. BMD adjusted for age; height; weight; systolic blood pressure; levels of total protein, serum calcium, serum phosphorus, alkaline phosphatase, blood glucose, and blood lipids; and liver function. c. Adjusted BMD in the body mass index (BMI) < 25 group. d. Adjusted BMD in the BMI ≥ 25 group. Results are presented as the survey weighted least-square means and 95% confidence intervals from regression analysis. P-values are from the test for a linear trend across the serum uric acid quartiles.
Figure 3
Figure 3. T-score and Z-score in each quartile of serum uric acid (Q1, Q2, Q3, and Q4) in male and female participants
a. Unadjusted T-score. b. T-score adjusted for age; height; weight; systolic blood pressure; levels of total protein, serum calcium, serum phosphorus, alkaline phosphatase, blood glucose, and blood lipids; and liver function. c. Unadjusted Z-score. d. Z-score adjusted for the abovementioned factors. Results are presented as the survey weighted least-square means and 95% confidence intervals from regression analysis. P-values are from the test for a linear trend across serum uric acid quartiles.
Figure 4
Figure 4
Odds ratios (ORs) and 95% confidence intervals (CI) for a. at least osteopenia and b. osteoporosis according to the serum uric acid quartiles after adjusting for confounders.
See this image and copyright information in PMC

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