Zhang Yili, Guo Xiangyun, Sun Kai, Wang Liang, Huang Siyuan, Gan Yiwen, Qin Jinran, Liu Qingqing, Li Yan, Jin Zikai, Zhu Liguo, Wei Xu
School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.
Sci Rep. 2025 Mar 25;15(1):10218. doi: 10.1038/s41598-025-95304-3.
Osteoporosis (OP) is a metabolic bone disease characterized by reduced bone density and fragility, impairing quality of life. Traditional treatments often overlook symptoms like back and joint pain, increasing burden. This study aims to map relationships between natural medicines, targets, and symptom clusters, demonstrating their effectiveness in personalized OP treatment to enhance clinical strategies and self-assessment. We used compounds and targets, applying Summary data-based Mendelian Randomisation (SMR) analysis for biological process and molecular function enrichment. Additionally, we employed Phenome-Wide Association Studies (PheWAS) to select two natural drugs-Rhizoma Drynariae (RD) and Lycii Fructus (LF)-for case analysis. The study found that RD primarily improves symptoms such as indigestion, constipation, fatigue, polyuria, and depression, while LF significantly ameliorates symptoms related to the nervous and muscular systems, such as hoarseness, dizziness, vertigo, and fever symptoms. This analysis successfully differentiated two groups of symptoms and precisely constructed a logical chain among "natural Medicines-molecular tArGets-Illness-symptom Clusters" (MAGIC chain) achieving a refined classification of OP. The results of this study support the effectiveness of implementing personalized medical strategies in the treatment of OP, providing a scientific basis for the clinical application of natural medicines and patient self-management.
骨质疏松症（OP）是一种代谢性骨病，其特征是骨密度降低和骨脆性增加，会损害生活质量。传统治疗方法往往忽视背部和关节疼痛等症状，从而增加了负担。本研究旨在梳理天然药物、靶点和症状群之间的关系，证明它们在骨质疏松症个性化治疗中的有效性，以加强临床策略和自我评估。我们使用化合物和靶点，应用基于汇总数据的孟德尔随机化（SMR）分析进行生物过程和分子功能富集。此外，我们采用全表型关联研究（PheWAS）选择两种天然药物——骨碎补（RD）和枸杞子（LF）进行病例分析。研究发现，骨碎补主要改善消化不良、便秘、疲劳、多尿和抑郁等症状，而枸杞子则显著改善与神经和肌肉系统相关的症状，如声音嘶哑、头晕、眩晕和发热症状。该分析成功区分了两组症状，并精确构建了“天然药物-分子靶点-疾病-症状群”（MAGIC链）之间的逻辑链，实现了骨质疏松症的精细化分类。本研究结果支持在骨质疏松症治疗中实施个性化医疗策略的有效性，为天然药物的临床应用和患者自我管理提供了科学依据。
