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J Genet Genomics. 2017 Mar 20;44(3):127-138. doi: 10.1016/j.jgg.2017.02.004. Epub 2017 Mar 8.

Metabolomics through the lens of precision cardiovascular medicine.

Author information

1
State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
2
Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Beijing Institute of Heart, Lung & Blood Vessel Disease, Beijing 100029, China.
3
Lipidall Technologies Company Limited, Changzhou 213000, China.
4
State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: ghshui@genetics.ac.cn.

Abstract

Metabolomics, which targets at the extensive characterization and quantitation of global metabolites from both endogenous and exogenous sources, has emerged as a novel technological avenue to advance the field of precision medicine principally driven by genomics-oriented approaches. In particular, metabolomics has revealed the cardinal roles that the environment exerts in driving the progression of major diseases threatening public health. Herein, the existent and potential applications of metabolomics in two key areas of precision cardiovascular medicine will be critically discussed: 1) the use of metabolomics in unveiling novel disease biomarkers and pathological pathways; 2) the contribution of metabolomics in cardiovascular drug development. Major issues concerning the statistical handling of big data generated by metabolomics, as well as its interpretation, will be briefly addressed. Finally, the need for integration of various omics branches and adopting a multi-omics approach to precision medicine will be discussed.

KEYWORDS:

Cardiovascular diseases; Lipidomics; Metabolomics; Multi-omics; Precision medicine

PMID:
28325553
DOI:
10.1016/j.jgg.2017.02.004
[Indexed for MEDLINE]

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