Chen Zikun, Hou Xuequan, Chen Binyu, Cao Yichen, Yu Xuanyi, Mao Tiantian, Qiu Tianyi
Institute of Orthopaedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Department of Joint Surgery, Shanghai Kaiyuan Orthopaedic Hospital, Shanghai, China.
NPJ Sci Food. 2025 Sep 1;9(1):190. doi: 10.1038/s41538-025-00562-0.
The skeletal system is vital to human health and is influenced by factors such as age and nutritional intake. Although existing studies have identified certain associations between dietary factors and orthopedic diseases, systematic analyses and theoretical perspectives remain insufficient. To address this, we present ONMR, the largest platform using Mendelian Randomization to investigate the impact of dietary intake on orthopedic disorders. By systematically integrating Genome-Wide Association Study (GWAS) data to provide over 100,000 analyses between 210 nutritional items and 503 bone-related phenotypes, ONMR provides a comprehensive framework for understanding the complex interactions between diet and skeletal health. This extensive analysis has elucidated the dual effects of dietary intake on bone health and their age-dependent characteristics. As a pivotal resource for interdisciplinary research spanning nutritional science and orthopedics, this platform could significantly contribute to the advancement of precision medicine in health management. The ONMR supports data querying, downloading, and personalized analysis, which can be accessed via a user-friendly website at https://onmr.ai-bio.net .
骨骼系统对人类健康至关重要，并受到年龄和营养摄入等因素的影响。尽管现有研究已经确定了饮食因素与骨科疾病之间的某些关联，但系统分析和理论观点仍然不足。为了解决这一问题，我们推出了ONMR，这是使用孟德尔随机化来研究饮食摄入对骨科疾病影响的最大平台。通过系统整合全基因组关联研究（GWAS）数据，以提供210种营养项目与503种骨骼相关表型之间超过10万次分析，ONMR为理解饮食与骨骼健康之间的复杂相互作用提供了一个全面的框架。这项广泛的分析阐明了饮食摄入对骨骼健康的双重影响及其年龄依赖性特征。作为营养科学和骨科跨学科研究的关键资源，该平台可为健康管理中精准医学的发展做出重大贡献。ONMR支持数据查询、下载和个性化分析，可通过用户友好的网站https://onmr.ai-bio.net访问。
