Phospholipid characterization by a TQ-MS data based identification scheme

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P-CN1716E Phospholipid characterization by a TQ-MS data based identification scheme ASMS 2017 MP-406 Tsuyoshi Nakanishi 1, Masaki Yamada 1, Ningombam Sanjib Meitei 2, 3 1 Shimadzu Corporation, Kyoto, Japan, 2 PREMIER Biosoft, CA, USA, 3 PREMIER Biosoft, Indore, India

verview Phospholipids play a wide variety of roles such as the structural units of the cellular membrane, the storage and transport of lipids, the precursor of the lipid mediators and the energy source in vivo. To deeply understand the biological function of phospholipids, quantitative analysis for the phospholipid composition ratio in the blood and tissues is required. Phospholipids species have many types of combination of its characteristic head groups and fatty acid composition. Although identification of phospholipid species typically is performed for the data acquired by a high resolution mass spectrometer, in this study, we report phospholipids database search and quantitative analysis by coupling LC-TQ MS with SimLipid software. Introduction Phospholipids constitute a lipid bilayer in a cellular membrane in a living cell and the number of phospholipid species reaches up to several thousands due to the combination of its characteristic head groups and its fatty acid composition. It has been also reported that change of phospholipid levels in blood and tissues correlates with various diseases. Therefore, quantitative analysis for phospholipids has been often performed to evaluate the change of phospholipid species at a concentration. In this study, the carbon nano tube (CNT) probe, known as a long wavelength fluorescent probe, was administered to mice to evaluate the changes in phospholipid in a liver tissue. To analyze the fluctuation of phospholipids, a precursor ion scan/neutral loss scan was performed by a LC-TQ MS. The change of identified phospholipid levels was compared between control and a probe dosing mouse. Methods Carbon nano tube (CNT) probe is known as a fluorescent probe for a long-wavelength. This probe was administered to a mouse at a concentration of 300 mg/ml by a tail vein injection (100 ml). After 5hr of administering, liver tissues were isolated from a control mouse and a ministered mouse under anesthesia. The isolated tissues were rapidly frozen in liquid nitrogen and crushed to some blocks of an appropriate size. Then these tissue blocks were weighed. Furthermore, after crushing frozen tissue blocks by a bead type crusher, phospholipids were extracted by Bligh & Dyer method. rganic phase was recovered and then evaporated. The sample was dissolved with a solution of CHCl 3 /MeH (1:1). Phospholipid profiling by precursor ion scan (PIS) and neutral loss scan (NLS) with LCMS-8060 were executed for the sample diluted with MeH. In this measurement, phospholipid was analyzed by PIS at m/z 184 focusing on the characteristic head groups of phosphatidylcholine (PC) and sphingomyeline (SM) or NLS at m/z 141 for ethanolamine of phosphatidylethanolamine (PE). The candidate of phospholipids was estimated for each peak detected by PIS and NLS analysis as a result of database search by SimLipid software from PREMIER Biosoft, CA, USA (www.premierbiosoft.com). 2

Table 1 Analytical conditions HPLC condition Column : Phenomenex Kinetex C8 (150 X 2.1 mm, 2.6 mm) Mobile phase A : 20 mm Ammonium formate - water Mobile phase B : Acetonitrile/2-Propanol (1:1) Time program (B%), Curved gradient : 20% (0 min) - 20% (1.0 min) - 40% (2.0 min) - 92.5% (25 min) - 100% (26.0-35.0 min) Flow rate : 0.3 ml/min Injection volume : 3 ml Column oven : 45 C MS condition (LCMS-8060) Ionization Nebulizer gas flow rate Heating gas flow rate Drying gas flow rate Interface voltage Interface temp. DL temp. Block heater temp. : ESI(+)/(-) : 3 L/min : 10 L/min : 10 L/min : 4 kv(+)/-3 kv(-) : 300 C : 250 C : 400 C Positive PC (16:0/16:0) P H N + Positive SM (d18:1/16:0) H NH P H N + m/z 184 m/z 184 Positive PE (16:0/16:0) P H NH 2 Neutral loss scan: [M+H-141] + Figure 1 PIS for PC and SM at m/z 184 and NLS for PE of [M+H-141] + 3

Results PIS and NLS measurements to detect phospholipid class of PC, SM and PE To detect phospholipid species in tissue extracts, we performed PIS at m/z 184 as a product ion for PC / SM and NLS of [M+H-141] + for PE. Both measurements were performed in positive mode. A typical structural formula for PC, SM and PE are shown in Figure 1. As shown in Figure 1, PIS and NLS were measured by utilizing a loss of its characteristic head group on MS/MS. Figure 2 shows typical mass chromatograms of PIS and NLS for liver tissue extracts. We can see some detected peaks corresponding to PC, SM and PE. PIS for PC and SM control (x100,000,000) 1:PC and SM TIC(+) CE: -35.0 1.00 0.75 0.50 0.25 1.25 1.00 0.75 0.50 0.25 Administration of CNT (5hr) (x100,000,000) 1:PC and SM TIC(+) CE: -35.0 0.00 0.00 NLS for PE (x1,000,000) 2:PE TIC(+) CE: -21.0 4.0 3.0 2.0 (x1,000,000) 5.0 2:PE TIC(+) CE: -21.0 4.0 3.0 2.0 1.0 1.0 0.0 0.0 Figure 2 MS chromatograms of PIS for PC and SM at m/z 184 and NLS for PE of [M+H-141] + In Figure 2, the change of some phospholipids, especially PC and SM can be also confirmed between control and administration of CNT sample. To evaluate the change of phospholipids at a concentration, we first performed a database search to identify the detected phospholipid species. A database search and quantitative analysis were performed by SimLipid software. Scheme 1 shows a workflow of phospholipid profiling by SimLipid software. TQ-MS data (.lcd file) is imported into the program and a database search is carried out on the basis of a observed mass value of precursor ion/product ion on PIS/NLS measurement. SimLipid software has a theoretical mass value of total product ion/neutral loss masses corresponding to >5,000 species in the TQ database. In this study, a database search was executed at a range of 0.2 Da as a tolerance. As a result, the candidate phospholipid species were estimated for the detected peaks and the intensity for the detected peaks in a group of control or administration of CNT was integrated for quantitative analysis. 4

PIS and NLS by LCMS-8060.lcd file SimLipid sums up all the spectra for each event from all the.lcd files that are being imported into the program. Lipid ID Control No.1-5 Administration of CNT No. 1-5 PC(36:0) 5500 7200 PC(36:1) 2600 5200 PE(36:0) 4800 6500 PE(38:1) 4500 7200 SM(36:1) 7300 7800 Aligned Samples Based on Ided Lipids control Lipid ID PIS at m/z 184 NLS for [M+H-141] + PC(36:0) 1000 0 PC(36:1) 500 0 PE(36:0) 0 1000 PE(38:1) 0 1000 SM(36:1) 2500 0 administration of CNT (5hr) Lipid ID PIS at m/z 184 NLS for [M+H-141] + PC(36:0) 1500 0 PC(36:1) 1000 0 PE(36:0) 0 2400 PE(38:1) 0 1500 SM(36:1) 1500 0 Scheme 1 Workflow of phospholipid profiling by coupling LCMS-8060 and SimLipid Phospholipid change in liver tissues by fluorescent probe administration Figure 3 shows a typical result of the database search for PIS at m/z 184 by SimLipid. We can confirm the major PC and SM species as phospholipid candidates in this figure. In this study, PIS for the composition of fatty acids was not measured. Therefore, the candidates of phospholipids were manually narrowed down by considering the information of retention time of phospholipid peaks and the length of carbon chain. To confirm the composition of fatty acids for phospholipid species, this result was also compared with the results of MRM measurements for phospholipid species (data not shown). Figure 3 Estimate of phospholipid candidates by SimLipid database search 5

Next, Figure 4 shows the graph plotted by the peak intensity (Total Abundant) of each phospholipid (PC, SM and PE) integrated among each sample group (a normal and a probe administration, n=3). Phospholipid species for PC, SM and PE, which have been detected in all samples, are shown in this graph. These peak intensity were normalized by a value of the tissue weight. An increase of phospholipids which was considered to be the influence of probe administration, was confirmed as Figure 4 showed. In particular, it was confirmed notably in sphingophospholipids such as SM(38:1), SM(40:3) and SM(42:3). In addition, an increase of phospholipids such as PC(38:6), PC(40:6), PE(38:6) and PE(40:6) which were considered to contain polyunsaturated fatty acids, was observed as well. n the other hand, some phospholipids, PC(34:1) and PE(34:1) have reduced after probe dosing (5hr). These results suggest that increase and decrease in each class of PLs including the same fatty acid composition are correlated. control VS probe dosing (Total Abundance) 4500000 control VS probe dosing (Total Abundance) 250000 4000000 3500000 200000 3000000 2500000 150000 2000000 1500000 100000 1000000 50000 500000 0 0 PC(32:0) PC(34:1) PC(34:2) PC(34:3) PC(36:2) PC(36:4) PC(38:4) PC(38:5) PC(38:6) PC(40:6) SM(34:1) SM(38:0) SM(38:1) SM(40:1) SM(40:2) SM(40:3) SM(42:3) PE(34:1) PE(34:2) PE(36:2) PE(36:3) PE(36:4) PE(36:5) PE(38:3) PE(38:4) PE(38:6) PE(38:7) PE(39:6) PE(40:6) PE(40:7) PE(40:9) PE(42:9) Figure 4 Changes of phospholipids in liver tissues from a normal and a fluorescent probe administration 6

Conclusions We performed phospholipid profiling by coupling TQ-MS measurement with SimLipid database search. To evaluate the phospholipid profiling system, we analyzed the change of phospholipids in liver tissues between control and probe administration. First Edition: June, 2017 Shimadzu Corporation, 2017