scholarly journals The effect of plasma lipids and lipid lowering interventions on bone mineral density: a Mendelian randomization study

2018 ◽  
Author(s):  
Jie Zheng ◽  
Marie-Jo Brion ◽  
John P. Kemp ◽  
Nicole M. Warrington ◽  
Maria-Carolina Borges ◽  
...  

AbstractStatin treatment increases bone mineral density (BMD) and reduces fracture risk, but the underlying mechanism is unclear. We used Mendelian randomization (MR) to assess whether this relation is explained by a specific effect in response to statin use, or by a general effect of lipid-lowering. We utilized 400 single nucleotide polymorphisms (SNPs) robustly associated with plasma lipid levels and results from a heel BMD GWAS (derived from quantitative ultrasound) in 426,824 individuals from the UK Biobank. We performed univariate and multivariable MR analyses of low-density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C) and triglyceride levels on BMD. To test whether the effect of statins on BMD was mediated by lowering lipid levels, MR was repeated with and without SNPs in theHMGCRregion, the gene targeted by statins. Univariate MR analyses provided evidence for a causal effect of LDL-C on BMD (β= −0.060; −0.084 to −0.036; P = 4×10-6; standard deviation change in BMD per standard deviation change in LDL-C, with 95% CI), but not HDL or triglycerides. Multivariable MR analysis suggested that the effect of LDL-C on BMD was independent of HDL-C and triglycerides, and sensitivity analyses involving MR Egger and weighted median MR approaches suggested that the LDL-C results were robust to pleiotropy. MR analyses of LDL-C restricted to SNPs in theHMGCRregion showed similar effects on BMD(β= −0.083; −0.132 to −0.034; P = 0.001) to those excluding these SNPs (β= −0.063; −0.090 to −0.036; P = 8×10-6). Bidirectional MR analyses provided some evidence for a causal effect of BMD on plasma LDL-C levels. Our results suggest that effects of statins on BMD are at least partly due to their LDL-C lowering effect. Further studies are required to examine the potential role of modifying plasma lipid levels in treating osteoporosis.

2020 ◽  
Vol 105 (11) ◽  
Author(s):  
Zihao Qu ◽  
Fangkun Yang ◽  
Jianqiao Hong ◽  
Wei Wang ◽  
Shigui Yan

Abstract Purpose Accumulating evidence implicates parathyroid hormone (PTH) in the development of osteoporosis. However, the causal effect of PTH on bone mineral density (BMD) remains unclear. Thus, this study is aimed at exploring the association between the concentrations of serum PTH and BMD. Methods The instrumental variables for PTH were selected from a large-scale genome-wide association study (GWAS; n = 29 155). Outcomes included BMD of the forearm (FA; n = 8143), femoral neck (FN; n = 33 297), lumbar spine (LS; n = 32 735), heel (HL; n = 394 929), and risk of fractures in these bones (n = 361 194). Furthermore, the BMD of 5 different age groups: 15 years or younger (n = 11 807), 15–30 (n = 4180), 30–45 (n = 10 062), 45–60 (n = 18 805), and 60 years or older (n = 22 504) were extracted from a GWAS meta-analysis study. The analyses were performed using the 2-sample Mendelian randomization method. Results Mendelian randomization analysis revealed that the level of serum PTH was inversely associated with BMD of FA (95% CI: -0.763 to -0.016), FN (95% CI: -0.669 to -0.304), and LS (95% CI: -0.667 to -0.243). A causal relationship between serum PTH levels and BMD was observed in individuals aged 30–45 (95% CI: -0.888 to -0.166), 45–60 (95% CI: -0.758 to -0.232), and over 60 years (95% CI: -0.649 to -0.163). Main Conclusions This study demonstrated that the concentrations of serum PTH is inversely associated with BMD of several bones. Further analysis revealed site- and age-specific correlations between serum PTH levels and BMD, which implies that the levels of serum PTH contribute to the development of osteoporosis.


2015 ◽  
Vol 30 (6) ◽  
pp. 985-991 ◽  
Author(s):  
Nicola Dalbeth ◽  
Ruth Topless ◽  
Tanya Flynn ◽  
Murray Cadzow ◽  
Mark J Bolland ◽  
...  

2020 ◽  
Vol 35 (7) ◽  
pp. 1224-1235 ◽  
Author(s):  
Jie Zheng ◽  
Marie‐Jo Brion ◽  
John P Kemp ◽  
Nicole M Warrington ◽  
Maria‐Carolina Borges ◽  
...  

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