Choi, Jong Min Kim, Tae-Eun Cho, Joo-Youn Lee, Hwa Jeong Jung, Byung Hwa 2024-01-20T10:34:06Z 2024-01-20T10:34:06Z 2021-09-05 2014-01-01 1570-0232 https://pubs.kist.re.kr/handle/201004/127241 A simple and fast methodology to detect and identify multiple classes of lipid from human plasma is developed utilizing ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF) as lipidomics platform. All the conditions for the sample preparation and analytical instruments were optimized in detail to detect nine lipid classes (phosphatidylserine (PS), phosphatidylglycerol (PG), phosphatidylethanolamine (PE), phosphatidylcholine (PC), triacylglyceride (TG), phosphatidylinositol (PI), lysophosphatidylcholine (LysoPC), lysophosphatidic acid (LysoPA), and sphingomyelin (SM)), which are the most important biologically active lipids but have different characteristics. Finally, the plasma was prepared after a liquid liquid extraction with a mixture of chloroform/methanol (1:2 v/v) including salting out by adding 0.15 M of NaCl and the residue after evaporation was reconstituted with a mixture of chloroform/methanol (1:1 v/v) to dissolve all lipids which have different polarity. The chromatographic conditions were set up such that mobile phase (A) comprised 10 mM ammonium acetate in 40% acetonitrile and mobile phase (B) comprised 10 mM ammonium acetate in acetonitrile:isopropanol = 10:90 (v/v) with ACQUITY BEH C-18 as the stationary phase. In particular, a retention time index of PC was constructed by analyzing known standards to confirm each variant of PC without the use of any additional standards in every experiment. The lipidomic methodology and the retention time index of PC were applied to analyze the lipidomic profiling of human plasma from rosuvastatin (lipid lowering drug) treated subjects. In the developed lipidomic platform, all lipids were successfully analyzed within 16 min and PCs could be confirmed with the PC retention time index. In rosuvastatin treatment, the lipid profiling was changed in all the eight lipid classes. The level of SM, TG, PI and PE decrease significantly but LysoPCs and PCs were whether decreased or increased. Those results indicated that the plasma level of overall lipids decreased by drug response, however, the changes in the lipids which are important components for biological membrane such as LysoPC and PC were more complicated, and it could be related to the side effect of rousuvastatin. In conclusion, it was found that our lipidomic methodology and the PC retention time index provided not only overall lipidomic information but also profiled specific information of drug response. (C) 2013 Published by Elsevier B.V. English ELSEVIER SCIENCE BV MASS-SPECTROMETRY SHOTGUN LIPIDOMICS BIOLOGICAL SAMPLES PHARMACOKINETICS BIOMARKERS CANCER PHOSPHOLIPIDS IDENTIFICATION PEROXIDATION METABOLISM Development of lipidomic platform and phosphatidylcholine retention time index for lipid profiling of rosuvastatin treated human plasma Article 10.1016/j.jchromb.2013.10.029 1 JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, v.944, pp.157 - 165 JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES 944 157 165 scie scopus 000329770300026 2-s2.0-84889563620 Biochemical Research Methods Chemistry, Analytical Biochemistry & Molecular Biology Chemistry Article MASS-SPECTROMETRY SHOTGUN LIPIDOMICS BIOLOGICAL SAMPLES PHARMACOKINETICS BIOMARKERS CANCER PHOSPHOLIPIDS IDENTIFICATION PEROXIDATION METABOLISM Lipidomics UPLC-QTOF Lipid Rosuvastatin Phosphatidylcholine