| Literature DB >> 33278596 |
Marina Amaral Alves1, Santosh Lamichhane1, Alex Dickens1, Aidan McGlinchey2, Henrique Caracho Ribeiro1, Partho Sen3, Fang Wei4, Tuulia Hyötyläinen5, Matej Orešič6.
Abstract
Lipids have many important biological roles, such as energy storage sources, structural components of plasma membranes and as intermediates in metabolic and signaling pathways. Lipid metabolism is under tight homeostatic control, exhibiting spatial and dynamic complexity at multiple levels. Consequently, lipid-related disturbances play important roles in the pathogenesis of most of the common diseases. Lipidomics, defined as the study of lipidomes in biological systems, has emerged as a rapidly-growing field. Due to the chemical and functional diversity of lipids, the application of a systems biology approach is essential if one is to address lipid functionality at different physiological levels. In parallel with analytical advances to measure lipids in biological matrices, the field of computational lipidomics has been rapidly advancing, enabling modeling of lipidomes in their pathway, spatial and dynamic contexts. This review focuses on recent progress in systems biology approaches to study lipids in health and disease, with specific emphasis on methodological advances and biomedical applications.Entities:
Keywords: Disease biomarkers; Genome-scale metabolic modeling; Lipidomics; Metabolomics; Systems biology
Mesh:
Year: 2020 PMID: 33278596 DOI: 10.1016/j.bbalip.2020.158857
Source DB: PubMed Journal: Biochim Biophys Acta Mol Cell Biol Lipids ISSN: 1388-1981 Impact factor: 4.698