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Association of pro-inflammatory cytokines with QCT-measured bone mineral density and its gender difference in a Chinese population — a pilot study
Affiliations- Department of Geriatric Endocrinology, Chinese People’s Liberation Army General Hospital, National Clinical Research Centre for Geriatric Disease, Beijing, China
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
open access
Abstract
Introduction: The primary objective of this study was to explore the association of pro-inflammatory cytokines with quantitative computed tomography (QCT)-measured bone mineral density (BMD) and its sexual difference in a Chinese population. Material and methods: In a cross-sectional study, a total of 85 participants aged 48–85 years were recruited and classified into three groups: normal bone mass with BMD > 120 mg/cm3, osteopaenia with BMD 80–120 mg/cm3, and osteoporosis with BMD < 80 mg/cm3. ANOVA analysis and multivariable ordinal logistic regression was used to estimate the associations of interest. Results: The proportions of osteoporosis, osteopaenia, and normal BMD were 29.41% (25), 37.65% (32), and 32.94% (28), respectively. Males had the highest proportion of osteopaenia while females had osteoporosis (p < 0.01). In contrast with the null findings in males, significant statistical difference was observed in females. Compared to the normal BMD, the OR for increasing IL-6 level of decreasing BMD groups (osteoporosis and/or osteopaenia) was 9.50 (95% CI: 1.44–62.80). TNF-a and IL-17 tended to show an increased risk (OR > 1) but did not reach significance. Current OR result cannot confirm these relationships of IL-1b, and ORs of PAI-1 and MCP-1 are too close to 1 to determine the practical meaning. Conclusions: IL-6 is an obviously independent risk factor of QCT-measured osteoporosis in Chinese females. Sex hormones and fat-related factors are important confounders in the research of osteoimmunology.
Abstract
Introduction: The primary objective of this study was to explore the association of pro-inflammatory cytokines with quantitative computed tomography (QCT)-measured bone mineral density (BMD) and its sexual difference in a Chinese population. Material and methods: In a cross-sectional study, a total of 85 participants aged 48–85 years were recruited and classified into three groups: normal bone mass with BMD > 120 mg/cm3, osteopaenia with BMD 80–120 mg/cm3, and osteoporosis with BMD < 80 mg/cm3. ANOVA analysis and multivariable ordinal logistic regression was used to estimate the associations of interest. Results: The proportions of osteoporosis, osteopaenia, and normal BMD were 29.41% (25), 37.65% (32), and 32.94% (28), respectively. Males had the highest proportion of osteopaenia while females had osteoporosis (p < 0.01). In contrast with the null findings in males, significant statistical difference was observed in females. Compared to the normal BMD, the OR for increasing IL-6 level of decreasing BMD groups (osteoporosis and/or osteopaenia) was 9.50 (95% CI: 1.44–62.80). TNF-a and IL-17 tended to show an increased risk (OR > 1) but did not reach significance. Current OR result cannot confirm these relationships of IL-1b, and ORs of PAI-1 and MCP-1 are too close to 1 to determine the practical meaning. Conclusions: IL-6 is an obviously independent risk factor of QCT-measured osteoporosis in Chinese females. Sex hormones and fat-related factors are important confounders in the research of osteoimmunology.
Keywords
pro-inflammatory cytokines; QCT; bone mineral density; cross-sectional study
About this articleTitle
Association of pro-inflammatory cytokines with QCT-measured bone mineral density and its gender difference in a Chinese population — a pilot study
Journal
Issue
Article type
Original paper
Pages
248-254
Published online
2019-03-07
Page views
1938
Article views/downloads
910
DOI
10.5603/EP.a2019.0014
Pubmed
Bibliographic record
Endokrynol Pol 2019;70(3):248-254.
Keywords
pro-inflammatory cytokines
QCT
bone mineral density
cross-sectional study
Authors
Jing Zeng
Kai Li
Yanping Gong
Li Xu
Chunlin Li
Ling Wang
Yong Zhang
Xiaoguang Cheng
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