Literature DB >> 25381612

LC/MS lipid profiling from human serum: a new method for global lipid extraction.

Roberto Maria Pellegrino1, Alessandra Di Veroli, Aurora Valeri, Laura Goracci, Gabriele Cruciani.   

Abstract

Over the last decade, technological advances have improved the sensitivity and selectivity of LC/MS analyzers, providing very efficient tools for lipidomics research. In particular, the nine lipid classes that constitute 99 % of the human serum lipidome (sterols, cholesteryl esters, phosphocholines, phosphoethanolamines, sphingomyelins, triacylglycerols, fatty acids, lysophosphocholines, and diacylglycerols) can be easily detected. However, until today there has not been a unique technique for sample preparation that provides a satisfactory recovery for all of these nine classes together. In this work, we have developed and validated a new one-phase extraction (OPE) method that overcomes this limitation. This method was also compared with the gold standard lipid extraction methods such as Folch, Bligh & Dyer, and recently developed methods with methanol and methyl-tert-butyl ether. Results demonstrate that the mixture of methanol/chloroform/MTBE (MMC) provides a recovery very close to 100 % for all nine lipid classes of the human serum investigated. For this extraction method, 100 μL of human serum is incubated with 2 mL of the solvents mixture, then vortexed and centrifuged. For its simplicity of execution, rapidity, reproducibility, and the reduced volume of sample required, this method opens the door to the use of human serum lipid profiling for large-scale applications in scientific research and clinical trials.

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Year:  2014        PMID: 25381612     DOI: 10.1007/s00216-014-8255-0

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


  21 in total

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2.  Development and application of a high throughput one-pot extraction protocol for quantitative LC-MS/MS analysis of phospholipids in serum and lipoprotein fractions in normolipidemic and dyslipidemic subjects.

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4.  Tissue fixation effects on human retinal lipid analysis by MALDI imaging and LC-MS/MS technologies.

Authors:  Ankita Kotnala; David M G Anderson; Nathan Heath Patterson; Lee S Cantrell; Jeffrey D Messinger; Christine A Curcio; Kevin L Schey
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5.  Differential effects of dietary cholesterol and triglycerides on the lipid homeostasis in Meibomian glands.

Authors:  Igor A Butovich; Amber Wilkerson; Seher Yuksel
Journal:  J Steroid Biochem Mol Biol       Date:  2021-04-02       Impact factor: 5.011

6.  Impaired ABCA1/ABCG1-mediated lipid efflux in the mouse retinal pigment epithelium (RPE) leads to retinal degeneration.

Authors:  Federica Storti; Katrin Klee; Vyara Todorova; Regula Steiner; Alaa Othman; Saskia van der Velde-Visser; Marijana Samardzija; Isabelle Meneau; Maya Barben; Duygu Karademir; Valda Pauzuolyte; Sanford L Boye; Frank Blaser; Christoph Ullmer; Joshua L Dunaief; Thorsten Hornemann; Lucia Rohrer; Anneke den Hollander; Arnold von Eckardstein; Jürgen Fingerle; Cyrille Maugeais; Christian Grimm
Journal:  Elife       Date:  2019-03-13       Impact factor: 8.140

7.  Nutritional and lipidomics biomarkers of docosahexaenoic acid-based multivitamin therapy in pediatric NASH.

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Journal:  Sci Rep       Date:  2019-02-14       Impact factor: 4.379

8.  One- vs two-phase extraction: re-evaluation of sample preparation procedures for untargeted lipidomics in plasma samples.

Authors:  Andres Gil; Wenxuan Zhang; Justina C Wolters; Hjalmar Permentier; Theo Boer; Peter Horvatovich; M Rebecca Heiner-Fokkema; Dirk-Jan Reijngoud; Rainer Bischoff
Journal:  Anal Bioanal Chem       Date:  2018-07-02       Impact factor: 4.142

9.  Comparison of Single Phase and Biphasic Extraction Protocols for Lipidomic Studies Using Human Plasma.

Authors:  Matthew Wai Kin Wong; Nady Braidy; Russell Pickford; Perminder Singh Sachdev; Anne Poljak
Journal:  Front Neurol       Date:  2019-08-21       Impact factor: 4.003

10.  The transfer of specific mitochondrial lipids and proteins to lipid droplets contributes to proteostasis upon stress and aging in the eukaryotic model system Saccharomyces cerevisiae.

Authors:  Florian Geltinger; Julia Tevini; Peter Briza; Amrito Geiser; Johannes Bischof; Klaus Richter; Thomas Felder; Mark Rinnerthaler
Journal:  Geroscience       Date:  2019-11-01       Impact factor: 7.713

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