Liu Ruobing, Huang Yaru, Jiang Maogang, Xu Fei, Pei Qilin, Ma Jiajun, Li Youru, Shen Siqi, Zhang Bo, Guo Xiangyang, Cai Jing, Wang Wenwen
Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, China.
Department of Health Statistics, School of Preventive Medicine, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Key Lab of Environmental Health Hazard Assessment and Protection of Shaanxi Province, Key Lab of Free Radical Biology and Medicine of Shaanxi Province, Fourth Military Medical University, Xi'an, 710032, Shaanxi Province, China.
Mechanobiol Med. 2025 Jun 9;3(3):100137. doi: 10.1016/j.mbm.2025.100137. eCollection 2025 Sep.
Blood metabolomes have been linked to osteoporosis, yet the precise causal relationship with osteopenia, its preventable early stage, remains unclear. This study aimed to uncover the genetic causality between blood metabolomes and osteopenia, pinpointing potential targets for mechanomedicine. Utilizing genome-wide association study summary statistics, we analyzed 1091 metabolites and 309 metabolite ratios from 8299 individuals, correlating them with total body bone mineral density (BMD) from 56,284 individuals in the IEU GWAS database and osteopenia data from 408,961 European populations. Through two-sample Mendelian randomization, we investigated the association between blood metabolomes and skeletal characteristics. We then conducted summary-data-based Mendelian randomization (MR) analysis and colocalization analyses to identify causal genes related to skeletal phenotypes, predicting therapeutic targets for osteopenia. Expression of potential targets in osteocytes under fluid shear stress (FSS) stimulation was tested using qRT-PCR to explore mechanical sensitivity and bone health mechanisms. Our findings revealed five metabolites affecting total body BMD and osteopenia, with biliverdin emerging as a potential protective factor against osteopenia (OR = 0.93, 95 %CI = 0.88-0.98, = 0.009). Additionally, three genes-LRRC14, SLC22A16, and TNFRSF1A-were identified as potential therapeutic targets for osteopenia. Notably, LRRC14 and TNFRSF1A are also associated with other musculoskeletal diseases. In vitro experiments showed that FSS significantly increased LRRC14 expression in osteocytes, suggesting its potential as a mechanosensitive factor. This study identifies candidate blood metabolites and mechanomedicine targets for osteopenia, offering a scientific basis for new diagnostic and treatment strategies and deepening our understanding of bone mechanics response characteristics.
血液代谢组已被证明与骨质疏松症有关,但与骨质减少(其可预防的早期阶段)的确切因果关系仍不清楚。本研究旨在揭示血液代谢组与骨质减少之间的遗传因果关系,确定机械医学的潜在靶点。利用全基因组关联研究汇总统计数据,我们分析了来自8299名个体的1091种代谢物和309种代谢物比率,并将它们与IEU全基因组关联研究数据库中56284名个体的全身骨矿物质密度(BMD)以及408961名欧洲人群的骨质减少数据相关联。通过两样本孟德尔随机化,我们研究了血液代谢组与骨骼特征之间的关联。然后,我们进行了基于汇总数据的孟德尔随机化(MR)分析和共定位分析,以确定与骨骼表型相关的因果基因,预测骨质减少的治疗靶点。使用qRT-PCR检测了流体剪切应力(FSS)刺激下骨细胞中潜在靶点的表达,以探索机械敏感性和骨骼健康机制。我们的研究结果揭示了五种影响全身BMD和骨质减少的代谢物,其中胆红素成为预防骨质减少的潜在保护因素(OR = 0.93,95%CI = 0.88-0.98,P = 0.009)。此外,三个基因——LRRC14、SLC22A16和TNFRSF1A——被确定为骨质减少的潜在治疗靶点。值得注意的是,LRRC14和TNFRSF1A也与其他肌肉骨骼疾病有关。体外实验表明,FSS显著增加了骨细胞中LRRC14的表达,表明其作为机械敏感因子的潜力。本研究确定了骨质减少的候选血液代谢物和机械医学靶点,为新的诊断和治疗策略提供了科学依据,并加深了我们对骨骼力学反应特征的理解。