Literature DB >> 26100548

Development of a mass-spectrometry-based lipidomics platform for the profiling of phospholipids and sphingolipids in brain tissues.

Tingting Zhang1, Si Chen, Xinle Liang, Hong Zhang.   

Abstract

This article describes the development of a lipidomic platform consisting of a 4000 QTRAP mass spectrometer and a self-installed sample inlet system to indentify and quantify 12 phospholipid and five sphingolipid classes from lipid-rich brain tissues of mouse, duck, and salmon. The total mass spectrometry analysis time per sample was 30 min, including 14 min for direct infusion for phospholipids and sulfatide in precursor ion scanning mode or neutral loss scanning mode, and 16 min for liquid-chromatographic separation of ceramide, sphingomyelin, monohexosylceramide, and dihexosylceramide in multiple reaction monitoring mode. The method was fully validated in terms of linearity, detectability, recovery, and repeatability, with satisfactory results for all targets. We individually quantified 307, 308, and 330 lipid species from 17 lipid subclasses, and obtained total amounts of 57.2, 61.7, and 53.1 mg/g wet brain for mouse, duck, and salmon tissues, respectively. Phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, and sphingomyelin were the major lipids in all the brain samples, whereas phosphatidylinositol occurred at a relatively higher level in the salmon sample. For phospholipids, sphingolipids, and minor lysophospholipids, differences in the identity of the molecular species, their distributions, and their relative amounts as well as the contribution of each lipid subclass to the whole polar lipidome were found. Palmitic acid (16:0), stearic acid (18:0), lignoceric acid (24:0), oleic acid (18:1), nervonic acid (24:1), arachidonic acid (20:4), and docosahexaenoic acid (22:6) were found as the main saturated, monounsaturated, and polyunsaturated fatty acids in samples from the different species, but eicosapentaenoic acid (20:5) and docosahexaenoic acid (22:6) were more abundant in the salmon brain sample. The results are in good agreement with those in previous reports obtained from the relevant tissues, providing a reliable basis that could be extended to clinical research and resource evaluation. Graphical Abstract Methodology for phospholipids and sphingolipids profiling in brain tissues.

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Year:  2015        PMID: 26100548     DOI: 10.1007/s00216-015-8822-z

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  10 in total

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Authors:  Lucy Liaw; Igor Prudovsky; Robert A Koza; Rea V Anunciado-Koza; Matthew E Siviski; Volkhard Lindner; Robert E Friesel; Clifford J Rosen; Paul R S Baker; Brigitte Simons; Calvin P H Vary
Journal:  J Cell Biochem       Date:  2016-03-16       Impact factor: 4.429

2.  Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain.

Authors:  Jia Tu; Yandong Yin; Meimei Xu; Ruohong Wang; Zheng-Jiang Zhu
Journal:  Metabolomics       Date:  2017-11-28       Impact factor: 4.290

3.  Sulfatides Primarily Exist in the Substantia Nigra Region of Mouse Brain Tissue.

Authors:  Kab-Tae Park; Jong Cheol Shon; Ji-Eun Kim; Gyu Hwan Park; Hyun Jin Choi; Kwang-Hyeon Liu
Journal:  Lipids       Date:  2017-01-11       Impact factor: 1.880

4.  Plasma lipidomics profiling identified lipid biomarkers in distinguishing early-stage breast cancer from benign lesions.

Authors:  Xiaoli Chen; Hankui Chen; Meiyu Dai; Junmei Ai; Yan Li; Brett Mahon; Shengming Dai; Youping Deng
Journal:  Oncotarget       Date:  2016-06-14

5.  Lipidomics Reveals a Tissue-Specific Fingerprint.

Authors:  Irene Pradas; Kevin Huynh; Rosanna Cabré; Victòria Ayala; Peter J Meikle; Mariona Jové; Reinald Pamplona
Journal:  Front Physiol       Date:  2018-08-28       Impact factor: 4.566

6.  Lipid Biomarkers in Acute Myocardial Infarction Before and After Percutaneous Coronary Intervention by Lipidomics Analysis.

Authors:  Limin Feng; Jianzhou Yang; Wennan Liu; Qing Wang; Huijie Wang; Le Shi; Liyan Fu; Qiang Xu; Baohe Wang; Tian Li
Journal:  Med Sci Monit       Date:  2018-06-18

7.  Methylxanthines Induce a Change in the AD/Neurodegeneration-Linked Lipid Profile in Neuroblastoma Cells.

Authors:  Daniel Janitschke; Anna Andrea Lauer; Cornel Manuel Bachmann; Jakob Winkler; Lea Victoria Griebsch; Sabrina Melanie Pilz; Elena Leoni Theiss; Heike Sabine Grimm; Tobias Hartmann; Marcus Otto Walter Grimm
Journal:  Int J Mol Sci       Date:  2022-02-18       Impact factor: 5.923

8.  Impacts of Formula Supplemented with Milk Fat Globule Membrane on the Neurolipidome of Brain Regions of Piglets.

Authors:  Karl Fraser; Leigh Ryan; Ryan N Dilger; Kelly Dunstan; Kelly Armstrong; Jason Peters; Hedley Stirrat; Neill Haggerty; Alastair K H MacGibbon; James Dekker; Wayne Young; Nicole C Roy
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9.  Single-Photon-Induced Post-Ionization to Boost Ion Yields in MALDI Mass Spectrometry Imaging.

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Review 10.  The Lipidome Fingerprint of Longevity.

Authors:  Mariona Jové; Natàlia Mota-Martorell; Irene Pradas; José Daniel Galo-Licona; Meritxell Martín-Gari; Èlia Obis; Joaquim Sol; Reinald Pamplona
Journal:  Molecules       Date:  2020-09-22       Impact factor: 4.411

  10 in total

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