Huang Zhihao, Tian Zhiqi, Tian Kunzong, Wang Yongming, Jiang Yuting
School of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, China.
Department of Clinical Laboratory, Shengli Oilfield Central Hospital, Dongying, China.
Medicine (Baltimore). 2025 Jul 18;104(29):e42884. doi: 10.1097/MD.0000000000042884.
Intervertebral disc disorders (IVDDs) are a major cause of disability worldwide, influenced by genetic and lifestyle factors such as obesity. Although the role of body fat distribution in IVDDs is recognized, the causal relationship remains unclear. This study aimed to elucidate the genetic basis of this relationship by examining the association between fat mass distribution in the trunk and lower limbs and the risk of IVDDs using Mendelian randomization (MR). The study utilized single nucleotide polymorphism (SNP) as instrumental variable to investigate genetic predispositions to increased fat mass in specific body regions and their associations with IVDDs. Initially, 98,51,866 SNPs for trunk and lower limb fat mass and 21,304,570 SNPs for IVDDs were analyzed. Data cleaning steps, including linkage disequilibrium clumping, SNP merging, allele harmonization, and checks against the genome-wide association studies catalog database, reduced the number of relevant SNPs to 353 for trunk fat mass, and 346 and 337 for left and right leg fat mass, respectively. The causal analysis was conducted using the inverse variance weighted (IVW) method and MR-Egger method, with sensitivity analyses to test robustness. The IVW method showed a significant positive causal relationship between trunk fat mass and IVDDs (odds ratio (OR) = 1.274, 95% confidence interval (CI): 1.186-1.368, P < .001), whereas the MR-Egger method did not show statistical significance (P = .207). Both methods revealed a consistent and significant association for lower limb fat mass with IVDDs. Specifically, the IVW method indicated odds ratios of 1.454 (95% CI: 1.323-1.597, P < .001) for left leg fat mass and 1.467 (95% CI: 1.332-1.616, P < .001) for right leg fat mass. The presence of heterogeneity and potential pleiotropy was assessed, supporting the stability and reliability of the causal inferences. This study confirmed a positive causal relationship between trunk and lower limb fat mass and the risk of IVDDs, emphasizing the need to consider body fat distribution in IVDD prevention and management. The findings suggested that reducing trunk and lower limb fat mass could lower IVDD risk. This research provided valuable insights into the genetic and physiological links between body fat distribution and IVDDs, paving the way for targeted preventive strategies and therapeutic interventions.
椎间盘疾病(IVDDs)是全球致残的主要原因,受肥胖等遗传和生活方式因素影响。尽管体脂分布在IVDDs中的作用已得到认可,但其因果关系仍不明确。本研究旨在通过孟德尔随机化(MR)研究躯干和下肢脂肪量分布与IVDDs风险之间的关联,以阐明这种关系的遗传基础。该研究利用单核苷酸多态性(SNP)作为工具变量,调查特定身体区域脂肪量增加的遗传易感性及其与IVDDs的关联。最初,分析了9851866个用于躯干和下肢脂肪量的SNP以及21304570个用于IVDDs的SNP。数据清理步骤,包括连锁不平衡聚类、SNP合并、等位基因协调以及与全基因组关联研究目录数据库进行比对,将相关SNP数量分别减少至353个(用于躯干脂肪量)、346个(用于左腿脂肪量)和337个(用于右腿脂肪量)。使用逆方差加权(IVW)方法和MR-Egger方法进行因果分析,并进行敏感性分析以检验稳健性。IVW方法显示躯干脂肪量与IVDDs之间存在显著的正因果关系(优势比(OR)=1.274,95%置信区间(CI):1.186 - 1.368,P <.001),而MR-Egger方法未显示统计学意义(P = 0.207)。两种方法均显示下肢脂肪量与IVDDs之间存在一致且显著的关联。具体而言,IVW方法显示左腿脂肪量的优势比为1.454(95% CI:1.323 - 1.597,P <.001),右腿脂肪量的优势比为1.467(95% CI:1.332 - 1.616,P <.001)。评估了异质性和潜在多效性的存在,支持了因果推断的稳定性和可靠性。本研究证实了躯干和下肢脂肪量与IVDDs风险之间存在正因果关系,强调在IVDD预防和管理中需要考虑体脂分布。研究结果表明,减少躯干和下肢脂肪量可降低IVDD风险。这项研究为体脂分布与IVDDs之间的遗传和生理联系提供了有价值的见解,为针对性的预防策略和治疗干预铺平了道路。