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体重指数与腰椎滑脱风险:基于两样本孟德尔随机化分析的观察性研究

Body mass index and risk of lumbar spondylolisthesis: An observational study based on two-sample Mendelian randomization analysis.

作者信息

Wang Zhan, Chen Ping-Bo

机构信息

Xinjiang Uygur Autonomous Region Hospital of Tradition Chinese Medicine, Ürümqi, Xinjiang, China.

出版信息

Medicine (Baltimore). 2025 May 9;104(19):e42404. doi: 10.1097/MD.0000000000042404.

Abstract

This study aims to investigate the potential causal relationship between body mass index (BMI) and lumbar spondylolisthesis through the application of Mendelian randomization (MR) analysis. We utilized comprehensive data derived from large-scale genome-wide association studies to examine the association between BMI and lumbar spondylolisthesis in populations of European ancestry. Independent genetic variants with significant correlations to BMI and lumbar spondylolisthesis were selected as instrumental variables to ensure methodological rigor. To evaluate the causal impact of BMI on the risk of developing lumbar spondylolisthesis, 3 distinct MR approaches were employed: MR-Egger regression, Weighted Median analysis, and inverse variance weighted estimation. Robustness and consistency of the findings were assessed through heterogeneity testing, multiplicity analysis, and a leave-one-out sensitivity evaluation to confirm the stability of the results. The inverse variance weighted analysis revealed a significant positive association between BMI and lumbar spondylolisthesis risk, with an odds ratio of 1.66 and a 95% confidence interval of 1.20 to 2.29 (P = .002). This finding indicates that individuals with higher BMI are more predisposed to developing lumbar spondylolisthesis. Complementary results from heterogeneity and multiplicity assessments demonstrated no evidence of significant heterogeneity or horizontal pleiotropy, reinforcing the reliability of the findings. Furthermore, the leave-one-out sensitivity analysis confirmed the stability and robustness of the results, providing additional validation of the causal relationship. This investigation offers valuable insights by leveraging two-sample Mendelian randomization analysis to explore the causal link between BMI and lumbar spondylolisthesis. The evidence strongly suggests that elevated BMI contributes significantly to the risk of lumbar spine slippage. These findings highlight the importance of weight management as a preventive strategy for lumbar spine disorders. Promoting healthy BMI levels may serve as a critical intervention to mitigate the risk of lumbar spondylolisthesis, emphasizing the necessity for targeted public health initiatives focused on weight control to enhance spinal health and overall well-being.

摘要

本研究旨在通过应用孟德尔随机化(MR)分析来调查体重指数(BMI)与腰椎滑脱之间潜在的因果关系。我们利用来自大规模全基因组关联研究的综合数据,在欧洲血统人群中检验BMI与腰椎滑脱之间的关联。选择与BMI和腰椎滑脱有显著相关性的独立基因变异作为工具变量,以确保方法的严谨性。为了评估BMI对发生腰椎滑脱风险的因果影响,采用了3种不同的MR方法:MR-Egger回归、加权中位数分析和逆方差加权估计。通过异质性检验、多重性分析和留一法敏感性评估来评估结果的稳健性和一致性,以确认结果的稳定性。逆方差加权分析显示,BMI与腰椎滑脱风险之间存在显著正相关,优势比为1.66,95%置信区间为1.20至2.29(P = 0.002)。这一发现表明,BMI较高的个体更容易发生腰椎滑脱。异质性和多重性评估的补充结果表明,没有证据显示存在显著的异质性或水平多效性,从而加强了研究结果的可靠性。此外,留一法敏感性分析证实了结果的稳定性和稳健性,为因果关系提供了额外的验证。本研究通过利用两样本孟德尔随机化分析来探索BMI与腰椎滑脱之间的因果联系,提供了有价值的见解。证据强烈表明,BMI升高对腰椎滑脱风险有显著影响。这些发现凸显了体重管理作为预防腰椎疾病策略的重要性。促进健康的BMI水平可能是减轻腰椎滑脱风险的关键干预措施,强调了有针对性的公共卫生倡议聚焦于体重控制以增强脊柱健康和整体幸福感的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/12074112/164ca3b48f98/medi-104-e42404-g001.jpg

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