Lipid Matters

An occasional series of notes on publications or other items dealing with lipid science from a variety of contributors.

16th September 2024

Last week was a busy one for LIPID MAPS when we hosted around 40 visitors from around the world for our business meeting at Cardiff, covering nomenclature, classification, software, tools, resources and education. The last time we had an in person meeting was 2019 at Babraham, following which we were interrupted by the pandemic. The meeting hosted a diverse group, which included lipid biochemists, analytical chemists, databasing and informatics experts, members of our strategic advisory board, and collaborative partners. We focused on reviewing our work over the last number of years, scoping out new projects and networking. 

As part of presenting on the background, I found a slide from 2019 which showed where the field of lipid research was 5 yrs ago. Issues considered important at that time included the changing demographic of lipid researchers from biochemistry to larger scale lipidomics, including the emergence of untargeted profiling and its associated annotation challenges, the need for high quality targeted methods for clinical applications, emerging technologies that might be on the horizon and challenges in supporting systems biology of lipids.  So where are we now?

Training and support for researchers, including provision of workshops and guidelines has been a big focus for many of us, including International Lipidomics Society, EpiLipidNET and LIPID MAPS, and this continues. A major guideline and associated checklist was published by ILS (ILS Journal). Relating to targeted methods, several ring trials were published, including the most recent by Torta et al on ceramides which is in press in Nat Comms. The biggest jump in MS technologies occurred in the area of enhanced fragmentation, for example, UV photodissociation, oxone-induced dissociation or other methods which allow lipids to be analysed using LC, then fragmented bond by bond to allow assignment of double bond and Sn positions. This is going to lead to the identification of many new lipids which will need to be curated. Here is an example from Michael et al. Challenges supporting systems integration of data are still very present and were a topic of active discussion, and related to that, the use of AI for several aspects of our work at LIPID MAPS was briefly covered.  

Many new ideas for supporting lipidomics came from the meeting and now the challenge will be in deciding which to prioritise and also, how to fund them through grant applications and new partnerships. 


Valerie O’Donnell

Cardiff University

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