Document Type

Journal Article

Department/Unit

School of Chinese Medicine

Language

English

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.

Keywords

osteoporosis, metabolomics, biomarkers, metabolic pathways, chronological data, multi-omics

Publication Date

12-2016

Source Publication Title

International Journal of Molecular Sciences

Volume

17

Issue

12

Start Page

2018

Publisher

MDPI

Peer Reviewed

1

Copyright

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).

Funder

This study was support by Strategic Development of the School of Chinese Medicine in Research (SDF15-1211-P01).

DOI

10.3390/ijms17122018

Link to Publisher's Edition

http://dx.doi.org/10.3390/ijms17122018

ISSN (print)

16616596

ISSN (electronic)

14220067

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