Li Qingmei, Wang Jihan, Zhao Congzhe
Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, China.
Institute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, China.
Biomedicines. 2024 Oct 18;12(10):2389. doi: 10.3390/biomedicines12102389.
Osteoporosis (OP) is a prevalent skeletal disorder characterized by decreased bone mineral density (BMD) and increased fracture risk. The advancements in omics technologies-genomics, transcriptomics, proteomics, and metabolomics-have provided significant insights into the molecular mechanisms driving OP. These technologies offer critical perspectives on genetic predispositions, gene expression regulation, protein signatures, and metabolic alterations, enabling the identification of novel biomarkers for diagnosis and therapeutic targets. This review underscores the potential of these multi-omics approaches to bridge the gap between basic research and clinical applications, paving the way for precision medicine in OP management. By integrating these technologies, researchers can contribute to improved diagnostics, preventative strategies, and treatments for patients suffering from OP and related conditions.
骨质疏松症(OP)是一种常见的骨骼疾病,其特征是骨矿物质密度(BMD)降低和骨折风险增加。组学技术(基因组学、转录组学、蛋白质组学和代谢组学)的进步为驱动OP的分子机制提供了重要见解。这些技术为遗传易感性、基因表达调控、蛋白质特征和代谢改变提供了关键视角,能够识别用于诊断的新型生物标志物和治疗靶点。本综述强调了这些多组学方法在弥合基础研究与临床应用之间差距方面的潜力,为OP管理中的精准医学铺平了道路。通过整合这些技术,研究人员可以为改善OP及相关病症患者的诊断、预防策略和治疗做出贡献。