Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis Research.

Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis Research.
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代谢组学及其在骨质疏松症研究生物标志物开发中的应用。

DOI:
10.3390/ijms17122018
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发表时间:
2016-12-02
影响因子:
5.6
通讯作者:
Zhang G
Zhang G
中科院分区:
生物学2区
文献类型:
--
作者:
Lv H;Jiang F;Guan D;Lu C;Guo B;Chan C;Peng S;Liu B;Guo W;Zhu H;Xu X;Lu A;Zhang G

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骨质疏松症是一种进行性骨骼疾病,其特征是骨量低,晚年骨折风险增加。与治疗骨质疏松症相关的发病率和费用造成沉重的社会经济负担。目前,骨质疏松症的诊断主要依靠骨密度和骨转换指标。然而,这些指标不够敏感和准确,以反映骨质疏松症的进展。代谢组学为骨质疏松症的临床诊断和治疗提供了一个整体的方法,也为了解骨质疏松症的病理机制提供了可能。本文首先介绍了骨质疏松症的研究对象和不同分析目的的生物样品制备方法,然后阐述了在骨质疏松症研究中具有潜在预测、诊断和药学价值的生物标志物。然后,我们总结了已发表的与骨质疏松症相关的代谢途径。此外,我们还讨论了时间数据和多组学结合在全面了解骨质疏松症中的重要性。代谢组学在骨质疏松症研究中的应用,为研究者提供了新的视角,可以深入了解骨质疏松症的代谢特征和病理生理机制。然而,仍有许多工作要做,以验证潜在的生物标志物负责骨质疏松症的进展,仍有许多细节需要进一步阐明。
Osteoporosis is a progressive skeletal disorder characterized by low bone mass and increased risk of fracture in later life. The incidence and costs associated with treating osteoporosis cause heavy socio-economic burden. Currently, the diagnosis of osteoporosis mainly depends on bone mineral density and bone turnover markers. However, these indexes are not sensitive and accurate enough to reflect the osteoporosis progression. Metabolomics offers the potential for a holistic approach for clinical diagnoses and treatment, as well as understanding of the pathological mechanism of osteoporosis. In this review, we firstly describe the study subjects of osteoporosis and bio-sample preparation procedures for different analytic purposes, followed by illustrating the biomarkers with potentially predictive, diagnosis and pharmaceutical values when applied in osteoporosis research. Then, we summarize the published metabolic pathways related to osteoporosis. Furthermore, we discuss the importance of chronological data and combination of multi-omics in fully understanding osteoporosis. The application of metabolomics in osteoporosis could provide researchers the opportunity to gain new insight into the metabolic profiling and pathophysiological mechanisms. However, there is still much to be done to validate the potential biomarkers responsible for the progression of osteoporosis and there are still many details needed to be further elucidated.
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