Bidirectional Relationship and Shared Mechanisms Between Sarcopenia and Osteoporosis: An Observational Study Integrating Genomic, Proteomic, and Metabolomic Data.

IF 7.1 1区 医学 Q1 CELL BIOLOGY
Aging Cell Pub Date : 2026-07-01 DOI:10.1111/acel.70617
Siqi Xu, Simin Wen, Xizeng Zong, Jianwei Zhu, Qiuling Du, Yu Li, Kunyan Wang, Peihua Cao, Changhai Ding, Yan Zhang, Guangfeng Ruan
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引用次数: 0

Abstract

With global population aging, sarcopenia and osteoporosis have become critical public health challenges. Muscles and bones are closely interconnected anatomically and functionally, but the biological mechanisms connecting sarcopenia and osteoporosis have not yet been fully elucidated. This study systematically investigated the bidirectional relationship and shared mechanisms between sarcopenia and osteoporosis through multi-omics analysis integrating genomic, proteomic, and metabolomic data from the UK Biobank. Our findings indicated that the two conditions may act as reciprocal risk factors. Higher lean mass index (hazard ratio [HR] = 0.830, 95% confidence interval [CI]: 0.788-0.874), greater hand grip strength (HR = 0.544, 95% CI: 0.531-0.558) and faster usual walking pace (HR = 0.735, 95% CI: 0.723-0.746) were significantly associated with lower osteoporosis incidence, with multiple plasma proteins and metabolites identified as mediators in these associations. Conversely, higher bone mineral density of left heel (HR = 0.613, 95% CI: 0.394-0.946) and right heel (HR = 0.591, 95% CI: 0.380-0.912) were associated with reduced sarcopenia risk. We also observed a positive genetic correlation (r = 0.25, p = 1.6 × 10-5) between sarcopenia and osteoporosis, as well as substantial overlaps in risk-associated genes and circulating biomarkers between the two conditions with consistent effect directions. Furthermore, modifiable factors including smoking, sleep duration, and physical activity exhibited similar effect patterns between sarcopenia and osteoporosis, with more than 30% overlap in mediating proteins and metabolites. These discoveries highlight common pathophysiological pathways potentially underlying both conditions and are expected to advance the understanding of muscle-bone interdependence.

骨骼肌减少症和骨质疏松症之间的双向关系和共享机制:一项整合基因组、蛋白质组学和代谢组学数据的观察性研究。
随着全球人口老龄化,骨骼肌减少症和骨质疏松症已成为重大的公共卫生挑战。肌肉和骨骼在解剖学和功能上紧密相连,但骨骼肌减少症和骨质疏松症之间的生物学机制尚未完全阐明。本研究通过整合来自UK Biobank的基因组、蛋白质组学和代谢组学数据的多组学分析,系统地研究了肌肉减少症和骨质疏松症之间的双向关系和共享机制。我们的研究结果表明,这两种情况可能是相互作用的危险因素。较高的瘦体质指数(风险比[HR] = 0.830, 95%可信区间[CI]: 0.788-0.874)、较强的握力(HR = 0.544, 95% CI: 0.531-0.558)和较快的平时步行速度(HR = 0.735, 95% CI: 0.723-0.746)与较低的骨质疏松症发生率显著相关,多种血浆蛋白和代谢物被认为是这些关联的中介。相反,较高的左跟骨密度(HR = 0.613, 95% CI: 0.394-0.946)和右跟骨密度(HR = 0.591, 95% CI: 0.380-0.912)与降低肌肉减少症的风险相关。我们还观察到肌肉减少症和骨质疏松症之间存在正遗传相关(r = 0.25, p = 1.6 × 10-5),两种疾病之间的风险相关基因和循环生物标志物存在大量重叠,影响方向一致。此外,包括吸烟、睡眠时间和体力活动在内的可改变因素在肌肉减少症和骨质疏松症之间表现出相似的影响模式,介导蛋白和代谢物有30%以上的重叠。这些发现强调了这两种疾病潜在的共同病理生理途径,并有望促进对肌肉-骨骼相互依赖的理解。
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来源期刊
Aging Cell
Aging Cell Biochemistry, Genetics and Molecular Biology-Cell Biology
自引率
2.60%
发文量
212
期刊介绍: Aging Cell is an Open Access journal that focuses on the core aspects of the biology of aging, encompassing the entire spectrum of geroscience. The journal's content is dedicated to publishing research that uncovers the mechanisms behind the aging process and explores the connections between aging and various age-related diseases. This journal aims to provide a comprehensive understanding of the biological underpinnings of aging and its implications for human health. The journal is widely recognized and its content is abstracted and indexed by numerous databases and services, which facilitates its accessibility and impact in the scientific community. These include: Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) Biological Science Database (ProQuest) CAS: Chemical Abstracts Service (ACS) Embase (Elsevier) InfoTrac (GALE Cengage) Ingenta Select ISI Alerting Services Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) Natural Science Collection (ProQuest) PubMed Dietary Supplement Subset (NLM) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) Web of Science (Clarivate Analytics) Being indexed in these databases ensures that the research published in Aging Cell is discoverable by researchers, clinicians, and other professionals interested in the field of aging and its associated health issues. This broad coverage helps to disseminate the journal's findings and contributes to the advancement of knowledge in geroscience.
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