Translation of Lipidomic Technologies Towards Quantification of Blood Lipids

Markus R Wenk
National University of Singapore

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Markus Wenk (Presenter) National University of Singapore

Presenter Bio: Markus Wenk has been interested in membrane lipids, their structure and function since his undergraduate years at the Biozentrum of the University of Basel. At Yale he introduced and established novel techniques for analysis of phospholipid metabolism. His work resulted in scientific publications which have major impact on conceptual advancements in the field of lipid metabolism. He established SLING, the Singapore lipidomics incubator, an interdisciplinary program dedicated to innovation, education and partnership in lipidomics research. Markus Wenk is Provost’s Chair, Professor and Head of the Department of Biochemistry at the National University of Singapore (NUS).

Singapore Lipidomics Incubator - https://sling.sg/
Department of Biochemistry at NUS - http://bch.nus.edu.sg/
Progress in Lipid Research - https://www.journals.elsevier.com/progress-in-lipid-research/

Relevant Financial Disclosures (within past 24 months) No relevant financial relationship(s) to disclose. Discussing Products? NO, presenter will NOT present educational content related to products/services of the ineligible company(ies) listed above. Conflict mitigation NOT REQUIRED.

The main elements of lipidomic technologies are now available and ready for adoption in larger scale studies. However, the translation of laboratory-style methods for lipid measurements – based on mass spectrometry – towards robust, quantitative tests that deliver comparable results across different analytical sites and with appropriate turn-around times will require considerable extra efforts. Here I will introduce our model for engagement which we have been pursuing with the Singapore Lipidomics Incubator (SLING) at the National University of Singapore (NUS). Examples, in the context of natural variation of blood lipids, will be given for translation (i) of such technologies towards individualized lipidomic tracking and (ii) for better mechanistic understanding of lipid function.