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Int. J. Mol. Sci. 2016, 17(12), 2018; doi:10.3390/ijms17122018

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

1
Institute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China
2
Institute of Precision Medicine and Innovative Drug Discovery, HKBU (Haimen) Institute of Science and Technology, Haimen 226133, China
3
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
4
Department of Spine Surgery, Shenzheng People’s Hospital, Shenzheng 518020, China
5
Zhengzhou Hospital of Traditional Chinese Medicine, Zhengzhou 450007, China
6
Institute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences, Guanghua Integrative Medicine Hospital/Shanghai University of Traditional Chinese Medicine, Shanghai 200052, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Ali Mobasheri
Received: 6 October 2016 / Revised: 17 November 2016 / Accepted: 28 November 2016 / Published: 2 December 2016
(This article belongs to the Special Issue Translational Molecular Medicine & Molecular Drug Discovery)
View Full-Text   |   Download PDF [268 KB, uploaded 5 December 2016]   |  

Abstract

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. View Full-Text
Keywords: osteoporosis; metabolomics; biomarkers; metabolic pathways; chronological data; multi-omics osteoporosis; metabolomics; biomarkers; metabolic pathways; chronological data; multi-omics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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. Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis Research. Int. J. Mol. Sci. 2016, 17, 2018.

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