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Lipidomes in health and disease: Analytical strategies and considerations
Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, PR China.
Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Örebro University, School of Medical Sciences. Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, PR China; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID iD: 0000-0002-2856-9165
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-4382-4355
2019 (English)In: TrAC. Trends in analytical chemistry, ISSN 0165-9936, E-ISSN 1879-3142, Vol. 120, article id 115664Article, review/survey (Refereed) Published
Abstract [en]

Lipidomics is a rapidly-growing field which focuses on global characterization of lipids at molecular and systems levels. As small changes in the concentrations of lipids may have important physiological consequences, much attention in the field has recently been paid to more accurate quantitation and identification of lipids. Community-wide efforts have been initiated, aiming to develop best practices for lipidomic analyses and reporting of lipidomic data. Nevertheless, current approaches for comprehensive analysis of lipidomes have some inherent challenges and limitations. Additionally, there is, currently, limited knowledge concerning the impacts of various external and internal exposures on lipid levels. In this review, we discuss the recent progress in lipidomics analysis, with a primary focus on analytical approaches, as well as on the different sources of variation in quantifying lipid levels, both technical and biological.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 120, article id 115664
Keywords [en]
Biomarkers, Lipid identification, Lipidomics, Mass spectrometry, Metabolomics, Quantification
National Category
Bioinformatics and Systems Biology Biochemistry and Molecular Biology
Identifiers
URN: urn:nbn:se:oru:diva-77194DOI: 10.1016/j.trac.2019.115664Scopus ID: 2-s2.0-85072601123OAI: oai:DiVA.org:oru-77194DiVA, id: diva2:1360099
Available from: 2019-10-11 Created: 2019-10-11 Last updated: 2019-10-11Bibliographically approved

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