Exploring Causality Between Bone Mineral Density and Cervical Spondylosis: Bidirectional and Multivariable Mendelian Randomization Study.

IF 2.5 3区 医学 Q2 CLINICAL NEUROLOGY
Journal of Pain Research Pub Date : 2025-07-09 eCollection Date: 2025-01-01 DOI:10.2147/JPR.S516682
Wangnan Mao, Lianguo Wu
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引用次数: 0

Abstract

Background: Recent evidence has suggested a potential link between bone mineral density (BMD) and cervical spondylosis (CS), while the specific relationship has yet to be comprehensively elucidated. Our study aimed to implement a comprehensive analytical framework incorporating bidirectional two-sample Mendelian randomization (MR) and multivariable MR (MVMR) to investigate the causal relationship between BMD and CS.

Methods: Genome-wide association summary statistics for BMDs across four skeletal sites and five age groups, and CS, were obtained from public databases. Single Nucleotide Polymorphisms (SNPs) that had a significant genetic association with exposures were used as instrumental variables (IVs). We employed inverse variance weighting (IVW) analysis as the primary analytical method to estimate potential causal effects, whereas Weighted median, MR-Egger regression, weighted mode, and simple mode were served as supplements. Furthermore, several sensitivity analyses (MR-Egger intercept, MR-PRESSO, Cochran's Q test, and Leave-one-out test) were utilized to assess the robustness, heterogeneity, and horizontal pleiotropy of the findings.

Results: After applying the Bonferroni correction, BMDs in three skeletal sites exhibited significant positive causal associations with CS risk, including total body (TB), femoral neck (FN), and heel bone (HB). Notably, based on MR analyses of TB-BMD data stratified by five age brackets, the positive causal relationship was especially pronounced in the 45-60-year-old group. Further MVMR analysis revealed that, even after controlling for confounding factors, higher TB-BMD (OR = 1.14, 95% CI: 1.01-1.29; P = 3.12E-02) and HB-BMD (OR = 1.11, 95% CI: 1.01-1.22; P = 2.45E-02) still maintained an independent and significant causal association with CS. However, we did not find evidence to suggest that CS has an impact on BMD in reverse MR analysis.

Conclusion: This study provides genetic support for a causal relationship between BMD and CS susceptibility. Specifically, individuals with high BMD are at greater risk of developing CS, offering valuable insights for future clinical research.

探讨骨密度与颈椎病之间的因果关系:双向和多变量孟德尔随机研究。
背景:最近的证据表明骨密度(BMD)与颈椎病(CS)之间存在潜在的联系,但具体的关系尚未得到全面阐明。本研究旨在建立一个综合分析框架,结合双向双样本孟德尔随机化(MR)和多变量随机化(MVMR)来研究骨密度和CS之间的因果关系。方法:从公共数据库中获取4个骨骼部位、5个年龄组和CS的bmd全基因组关联汇总统计数据。与暴露有显著遗传关联的单核苷酸多态性(snp)被用作工具变量(IVs)。我们采用反方差加权(IVW)分析作为主要分析方法来估计潜在的因果关系,加权中位数、MR-Egger回归、加权模型和简单模型作为补充。此外,还采用了几种敏感性分析(MR-Egger截距、MR-PRESSO、科克伦Q检验和留一检验)来评估结果的稳健性、异质性和水平多效性。结果:应用Bonferroni矫正后,三个骨骼部位的骨密度与CS风险表现出显著的正相关,包括全身(TB)、股骨颈(FN)和跟骨(HB)。值得注意的是,基于对TB-BMD数据按5个年龄组分层的MR分析,正因果关系在45-60岁年龄组中尤为明显。进一步的MVMR分析显示,即使在控制了混杂因素之后,更高的TB-BMD (OR = 1.14, 95% CI: 1.01-1.29;P = 3.12E-02)和HB-BMD (OR = 1.11, 95% CI: 1.01-1.22;P = 2.45E-02)仍与CS保持独立且显著的因果关系。然而,在反向MR分析中,我们没有发现证据表明CS对BMD有影响。结论:本研究为骨密度与CS易感性之间的因果关系提供了遗传学支持。具体来说,骨密度高的个体发生CS的风险更大,这为未来的临床研究提供了有价值的见解。
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来源期刊
Journal of Pain Research
Journal of Pain Research CLINICAL NEUROLOGY-
CiteScore
4.50
自引率
3.70%
发文量
411
审稿时长
16 weeks
期刊介绍: Journal of Pain Research is an international, peer-reviewed, open access journal that welcomes laboratory and clinical findings in the fields of pain research and the prevention and management of pain. Original research, reviews, symposium reports, hypothesis formation and commentaries are all considered for publication. Additionally, the journal now welcomes the submission of pain-policy-related editorials and commentaries, particularly in regard to ethical, regulatory, forensic, and other legal issues in pain medicine, and to the education of pain practitioners and researchers.
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