Co-reporter:Hiroshi Tsugawa, Kazutaka Ikeda, Makoto Arita
Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids 2017 Volume 1862, Issue 8(Issue 8) pp:
Publication Date(Web):1 August 2017
DOI:10.1016/j.bbalip.2017.05.006
•Data-driven lipid biochemistries will be facilitated by untargeted lipidomics.•The state-of-the-art software tools and databases have been developed.•Are these methods already enough to reveal the entire lipidome in living organism?•How can the reliability of lipid identifications be evaluated?•Can we perform new lipid discovery by existing informatics tools?
Co-reporter:Hiroshi Tsugawa;Kazutaka Ikeda;Wataru Tanaka;Yuya Senoo
Journal of Cheminformatics 2017 Volume 9( Issue 1) pp:
Publication Date(Web):2017 December
DOI:10.1186/s13321-017-0205-3
Liquid chromatography coupled with electrospray ionization tandem mass spectrometry (LC–ESI–MS/MS) is used for comprehensive metabolome and lipidome analyses. Compound identification relies on similarity matching of the retention time (RT), precursor m/z, isotopic ratio, and MS/MS spectrum with reference compounds. For sphingolipids, however, little information on the RT and MS/MS references is available.Negative-ion ESI–MS/MS is a useful method for the structural characterization of sphingolipids. We created theoretical MS/MS spectra for 21 sphingolipid classes in human and mouse (109,448 molecules), with substructure-level annotation of unique fragment ions by MS-FINDER software. The existence of ceramides with β-hydroxy fatty acids was confirmed in mouse tissues based on cheminformatic- and quantum chemical evidences. The RT of sphingo- and glycerolipid species was also predicted for our LC condition. With this information, MS-DIAL software for untargeted metabolome profiling could identify 415 unique structures including 282 glycerolipids and 133 sphingolipids from human cells (HEK and HeLa) and mouse tissues (ear and liver).
MS-DIAL and MS-FINDER software programs can identify 42 lipid classes (21 sphingo- and 21 glycerolipids) with the in silico RT and MS/MS library. The library is freely available as Microsoft Excel files at the software section of our RIKEN PRIMe website (http://prime.psc.riken.jp/).
Co-reporter:Makoto Arita
Allergology International (September 2016) Volume 65(Supplement) pp:S2-S5
Publication Date(Web):September 2016
DOI:10.1016/j.alit.2016.05.010
Co-reporter:Jin Endo, Makoto Arita
Journal of Cardiology (January 2016) Volume 67(Issue 1) pp:22-27
Publication Date(Web):1 January 2016
DOI:10.1016/j.jjcc.2015.08.002
Omega-3 polyunsaturated fatty acids (PUFAs), such as eicosapentaenoic acid and docosahexaenoic acid, are widely regarded as cardioprotective. Several large-scale, randomized clinical trials have shown that dietary intake of omega-3 PUFAs improves the prognosis of patients with symptomatic heart failure or recent myocardial infarction. Therefore, dietary consumption of omega-3 PUFA is recommended in international guidelines for the general population to prevent the occurrence of cardiovascular diseases (CVDs). However, the precise mechanisms underlying the cardioprotective effects of omega-3 PUFAs are not fully understood. Omega-3 PUFAs can be incorporated into the phospholipid bilayer of cell membranes and can affect membrane fluidity, lipid microdomain formation, and signaling across membranes. Omega-3 PUFAs also modulate the function of membrane ion channels, such as Na and L-type Ca channels, to prevent lethal arrhythmias. Moreover, omega-3 PUFAs also prevent the conversion of arachidonic acid into pro-inflammatory eicosanoids by serving as an alternative substrate for cyclooxygenase or lipoxygenase, resulting in the production of less potent products. In addition, a number of enzymatically oxygenated metabolites derived from omega-3 PUFAs were recently identified as anti-inflammatory mediators. These omega-3 metabolites may contribute to the beneficial effects against CVDs that are attributed to omega-3 PUFAs.