Regenerative Therapy (Jun 2020)

Imaging of lysophosphatidylcholine in an induced pluripotent stem cell-derived endothelial cell network

  • Yasuo Shimizu,
  • Yusuke Nakamura,
  • Yasuhiro Horibata,
  • Mio Fujimaki,
  • Keitaro Hayashi,
  • Nobuhiko Uchida,
  • Hiroko Morita,
  • Ryo Arai,
  • Kazuyuki Chibana,
  • Akihiro Takemasa,
  • Hiroyuki Sugimoto

Journal volume & issue
Vol. 14
pp. 299 – 305

Abstract

Read online

Introduction: Vascular endothelial cell disorders are closely related to cardiovascular disease (CVD) and pulmonary diseases. Abnormal lipid metabolism in the endothelium leads to changes in cell signalling, and the expression of genes related to immunity and inflammation. It is therefore important to investigate the pathophysiology of vascular endothelial disorders in terms of lipid metabolism, using a disease model of endothelium. Methods: Human induced pluripotent stem cell-derived endothelial cells (iECs) were cultured on a matrigel to form an iEC network. Lipids in the iEC network were investigated by matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) imaging mass spectrometry (IMS) analysis. Ion fragments obtained by mass spectrometry were analysed using an infusion method, involving precursor ion scanning with fragment ion. Results: The MALDI TOF IMS analysis revealed co-localized intensity of peaks at m/z 592.1 and 593.1 in the iEC network. Tandem mass spectrometry (MS/MS) analysis by MALDI-imaging, in conjunction with precursor ion scanning using an infusion method with lipid extracts, identified that these precursor ions were lysophosphatidylcholine (LPC) (22:5) and its isotype. Conclusion: The MALDI-imaging analysis showed that LPC (22:5) was abundant in an iEC network. As an in vitro test model for disease and potential therapy, present analysis methods using MALDI-imaging combined with, for example, mesenchymal stem cells (MSC) to a disease derived iEC network may be useful in revealing the changes in the amount and distribution of lipids under various stimuli.

Keywords