Skip to main content
Top
Published in: Clinical and Translational Medicine 1/2018

Open Access 01-12-2018 | Commentary

Clinical lipidomics: a new way to diagnose human diseases

Authors: Jiapei Lv, Linlin Zhang, Furong Yan, Xiangdong Wang

Published in: Clinical and Translational Medicine | Issue 1/2018

Login to get access

Abstract

Lipidomics is a measurement of a large scale of lipid species to understand roles of their carbon atoms, dual bonds, or isomerism in the lipid molecule. Clinical lipidomics was recently defined “as a new integrative biomedicine to discover the correlation and regulation between a large scale of lipid elements measured and analyzed in liquid biopsies from patients with those patient phenomes and clinical phenotypes”. The first step to translate lipidomics into clinical lipidomics is to settle a number of standard operation procedures and protocols of lipidomics performance and measurement. Clinical lipidomics is the part of clinical trans-omics which was coined as a new emerging scientific discipline where clinical phenomes are integrated with molecular multiomics. We believe it is the time to translate lipid science and lipidomics into clinical application and to understand the importance of clinical lipidomics as one of the most helpful approaches during the design and decision-making of therapeutic strategies for individuals. We emphasize here that clinical lipidomics should be merged with clinical phenomes, e.g. patient signs and symptoms, biomedical analyses, pathology, images, and responses to therapies, although it is difficult to integrate and fuse the information of clinical lipidomics with clinical phenomes. It will be a great achievement if we can draw the networks of lipidomic species fused with networks of genes and proteins to describe the molecular mechanisms of the disease in multi-dimensions.
Literature
1.
go back to reference Wang X, Wu D, Shen H (2018) Lipidomics in health and disease: methods and application. In: Wang XD (ed) Serial books: translational bioinformatics, vol 16. Springer, Berlin Wang X, Wu D, Shen H (2018) Lipidomics in health and disease: methods and application. In: Wang XD (ed) Serial books: translational bioinformatics, vol 16. Springer, Berlin
4.
go back to reference Chen H, Song ZJ, Qian MJ, Bai CX, Wang XD (2012) Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study. J Cell Mol Med 16(6):1286–1297CrossRefPubMedPubMedCentral Chen H, Song ZJ, Qian MJ, Bai CX, Wang XD (2012) Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study. J Cell Mol Med 16(6):1286–1297CrossRefPubMedPubMedCentral
5.
go back to reference Lv J, Gao D, Zhang Y, Wu D, Shen L, Wang X. Variations of lipidomic profiles among lung cancer subtypes of patients. J Cell Mol Med. 2018 (accepted) Lv J, Gao D, Zhang Y, Wu D, Shen L, Wang X. Variations of lipidomic profiles among lung cancer subtypes of patients. J Cell Mol Med. 2018 (accepted)
Metadata
Title
Clinical lipidomics: a new way to diagnose human diseases
Authors
Jiapei Lv
Linlin Zhang
Furong Yan
Xiangdong Wang
Publication date
01-12-2018
Publisher
Springer Berlin Heidelberg
Published in
Clinical and Translational Medicine / Issue 1/2018
Electronic ISSN: 2001-1326
DOI
https://doi.org/10.1186/s40169-018-0190-9

Other articles of this Issue 1/2018

Clinical and Translational Medicine 1/2018 Go to the issue