Metabolomics and its application in the development of discovering biomarkers for osteoporosis research

Huanhuan Lv, Feng Jiang, Daogang GUAN, Cheng Lu, Baosheng GUO, Chileung Chan, Songlin Peng, Baoqin Liu, Wenwei Guo, Hailong ZHU, Xuegong Xu*, Aiping LYU, Ge ZHANG

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

26 Citations (Scopus)

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.

Original languageEnglish
Article number2018
JournalInternational Journal of Molecular Sciences
Volume17
Issue number12
DOIs
Publication statusPublished - 2 Dec 2016

Scopus Subject Areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

User-Defined Keywords

  • Biomarkers
  • Chronological data
  • Metabolic pathways
  • Metabolomics
  • Multiomics
  • Osteoporosis

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