Xiao Xian-Pei, Dai Yong-Jun, Li Hong-Xu, Mao Jun-Jie, Qin Bi-Yuan
Department of Critical Care Medicine, Luojiang District People's Hospital of Deyang City, Deyang, 618000, Sichuan Province, China.
Department of Orthopedics, Luojiang District People's Hospital of Deyang City, Deyang, 618000, Sichuan Province, China.
Sci Rep. 2025 Jul 10;15(1):24863. doi: 10.1038/s41598-025-09765-7.
While observational studies suggest associations between ankle spacing width (ASW, defined as the horizontal distance between the medial malleoli under weight-bearing conditions) and osteoporosis (OP), fractures, and falls, causal evidence remains limited. This gap hinders the translation of ASW measurements into clinical risk stratification tools. This study aimed to investigate the causal relationships between ASW indicators and site-/age-specific bone mineral density (BMD), bone fracture and fall risks. Genetic exposure data for ASW indicators were retrieved from the MRC-IEU datasets, and the outcome data were all derived from the Genetic Factors for Osteoporosis Consortium (GEFO). Genome-wide associations of single nucleotides polymorphisms (SNPs) were served as instrumental variables (IVs) to infer causal effects using two-sample mendelian randomization (TSMR) and multivariable mendelian randomization (MVMR) analyses. The results of sites-specific TSMR analysis revealed that per unit increase in ASW (including left and right) were causally associated with lower estimated from quantitative heel ultrasounds BMD (eBMD, reflecting calcaneal bone density) and total-body BMD (TB-BMD, assessed via DEXA scans), with pronounced effects in individuals aged over 60 years. Age-stratified analyses revealed no significant associations between ASW and TB-BMD in younger age groups (age ≤ 15, 15 < age ≤ 30, 30 < age ≤ 45, 45 < age ≤ 60) or site-specific fractures/falls. MVMR adjustment for BMI, smoking, and alcohol consumption confirmed persistent causal associations between ASW and reduced eBMD and TB-BMD, particularly for TB-BMD in individuals aged over 60 years. Our study provides evidence that genetically predicted ASW is associated with reduced eBMD and TB-BMD, and a causal association between ASW and TB-BMD (aged over 60), suggesting ASW as a potential auxiliary biomarker for monitoring age-dependent bone loss.
虽然观察性研究表明踝关节间距宽度(ASW,定义为负重条件下内踝之间的水平距离)与骨质疏松症(OP)、骨折和跌倒之间存在关联,但因果证据仍然有限。这一差距阻碍了将ASW测量转化为临床风险分层工具。本研究旨在调查ASW指标与特定部位/年龄的骨矿物质密度(BMD)、骨折和跌倒风险之间的因果关系。ASW指标的基因暴露数据从MRC-IEU数据集中检索,结果数据均来自骨质疏松症遗传因素联盟(GEFO)。单核苷酸多态性(SNP)的全基因组关联用作工具变量(IV),通过两样本孟德尔随机化(TSMR)和多变量孟德尔随机化(MVMR)分析来推断因果效应。特定部位TSMR分析结果显示,ASW每增加一个单位(包括左右)与定量足跟超声骨密度(eBMD,反映跟骨骨密度)和全身骨密度(TB-BMD,通过双能X线吸收法扫描评估)降低存在因果关联,在60岁以上个体中影响显著。年龄分层分析显示,在较年轻年龄组(年龄≤15岁、15<年龄≤30岁、30<年龄≤45岁、45<年龄≤60岁)中,ASW与TB-BMD或特定部位骨折/跌倒之间无显著关联。对体重指数、吸烟和饮酒进行MVMR调整后,证实ASW与eBMD和TB-BMD降低之间存在持续的因果关联,尤其是60岁以上个体的TB-BMD。我们的研究提供了证据,表明基因预测的ASW与eBMD和TB-BMD降低有关,且ASW与TB-BMD(60岁以上)之间存在因果关联,提示ASW作为监测年龄依赖性骨质流失的潜在辅助生物标志物。