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首页> 外文期刊>RSC Advances >LC-MS-based plasma metabolomics reveals metabolic variations in ovariectomy-induced osteoporosis in female Wistar rats
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LC-MS-based plasma metabolomics reveals metabolic variations in ovariectomy-induced osteoporosis in female Wistar rats

机译：基于LC-MS的血浆代谢组学揭示了雌性Wistar大鼠卵巢切除术引起的骨质疏松症的代谢变化

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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.
机译：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疾病之一。绝经后妇女是高危人群，其体内雌激素的产生迅速下降时会患上骨质疏松症。骨质疏松症的早期预测和诊断将有助于有更大的机会控制骨质疏松症患者的病情恶化;但是，实践中仍然没有有效的措施。在这项研究中，我们旨在探讨使用卵巢切除的雌性大鼠作为动物模型来探讨绝经后骨质疏松症的代谢变化。这项研究是使用液相色谱/质谱（LC / MS）结合多元统计分析进行血浆代谢组学分析的。结果表明，卵巢切除引起的骨质疏松症的代谢变异涉及18种差异表达的代谢物和13种相关的代谢途径，如缬氨酸，亮氨酸和异亮氨酸的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变化与骨质疏松之间关系的创造力途径分析平台显示，代谢物水平的变化主要导致细胞受损，细胞信号传导，炎症，分子转运和脂质代谢的异常状态。代谢组学是表征有机体中固有的内源性小代谢物的一种新颖方法，它描述了代谢改变早期的变化，从而提供了有关致病机理的有价值的信息。

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