Hu Yan, Zhang Xiaojian, Shan Yu
Clinical Laboratory, The First People's Hospital of Wujiang, Wujiang Hospital Affiliated to Nantong University Soochow 215200 China.
Department of Orthopedics, The First People's Hospital of Wujiang, Wujiang Hospital Affiliated to Nantong University Soochow 215200 China
RSC Adv. 2018 Jul 11;8(44):24932-24941. doi: 10.1039/c8ra03629b. eCollection 2018 Jul 9.
Osteoporosis with a reduction in bone mineral density has become one of the most common metabolic bone diseases. Postmenopausal women are a high-risk group that suffers from osteoporosis when the production of estrogen in their body rapidly declines. Early prediction and diagnosis of osteoporosis will be conducive to having a greater chance to control the deterioration in condition of osteoporosis patients; however, there are still no effective measures in practice. In this study, we aimed at exploring metabolic variations in postmenopausal osteoporosis using ovariectomized female rats as an animal model. The research was performed using liquid chromatography/mass spectrometry (LC/MS) combined with multivariate statistical analysis for plasma metabolome analysis. The results reveal that metabolic variations of ovariectomized-induced osteoporosis involve 18 differentially expressed metabolites and 13 related metabolism pathways such as valine, leucine and isoleucine biosynthesis as well as arachidonic acid and glycerophospholipid metabolism. Notably, the ingenuity pathway analysis platform for further understanding the relationship between metabolic alteration and osteoporosis shows that the change in the levels of metabolites mainly lead to the abnormal state of cellular compromise, cell signaling, inflammation, molecular transport and lipid metabolism. Metabolomics, as a novel way to characterize resolute endogenous small metabolites in organisms, describes the variation in the early stages of metabolic alteration for offering valuable information on pathogenic mechanisms.
骨矿物质密度降低的骨质疏松症已成为最常见的代谢性骨病之一。绝经后女性是一个高危群体,当她们体内雌激素分泌迅速下降时就会患上骨质疏松症。骨质疏松症的早期预测和诊断将有助于更有机会控制骨质疏松症患者病情的恶化;然而,在实践中仍然没有有效的措施。在本研究中,我们旨在以去卵巢雌性大鼠为动物模型,探索绝经后骨质疏松症的代谢变化。该研究采用液相色谱/质谱联用(LC/MS)结合多变量统计分析进行血浆代谢组分析。结果显示,去卵巢诱导的骨质疏松症的代谢变化涉及18种差异表达的代谢物和13条相关代谢途径,如缬氨酸、亮氨酸和异亮氨酸生物合成以及花生四烯酸和甘油磷脂代谢。值得注意的是,用于进一步理解代谢改变与骨质疏松症之间关系的 Ingenuity 通路分析平台表明,代谢物水平的变化主要导致细胞损伤、细胞信号传导、炎症、分子转运和脂质代谢的异常状态。代谢组学作为一种表征生物体内源性小分子代谢物的新方法,描述了代谢改变早期阶段的变化,为致病机制提供有价值的信息。