HELSINKI, March 10, 2023 – Lipidomics Consulting Ltd, a front-running lipidomics company that is fundamentally changing how understanding the mechanistic and metabolic details of lipids are investigated in disease, together with scientists at University of Wollongong (UoW) and Aspect Analytics NV have received a grant
Matrix-assisted laser desorption ionization–mass spectrometry imaging (MALDI-MSI) is an emerging label-free method for mapping the distribution of diverse molecular species in tissue sections. Despite recent progress in MALDI-MSI analyses of lipids, it is still difficult to visualize minor bioactive lipids including lysophosphatidic acid (LPA) and sphingosine-1-phosphate (S1P).
Defects in sphingolipid metabolism have emerged as a common link across neurodegenerative disorders, and a deeper understanding of the lipid content in preclinical models and patient specimens offers opportunities for development of new therapeutic targets and biomarkers.
Smoking is an important risk factor for the development of chronic obstructive pulmonary disease and cardiovascular diseases. This study aimed to further elucidate the role of ceramides, as a key lipid class dysregulated in disease states.
Parkinson’s disease (PD) affects more than 6 million people worldwide. Glycosphingolipids are natural cellular fats and part of the PD epidemiology. They are components of cellular membranes that fulfill multiple functional roles, from cell structure and transport to signalling. However, the contribution of glycosphingolipids to PD is not fully understood.
Modern mass spectrometric technologies provide quantitative readouts for a wide variety of lipid specimens. However, many studies do not report absolute lipid concentrations and differ vastly in methodologies, workflows and data presentation. Therefore, we encourage researchers to engage with the Lipidomics Standards Initiative to develop common standards for minimum acceptable data quality and reporting for lipidomics data, to take lipidomics research to the next level.
Lipidomic analyses aim for absolute quantification of lipid species profiles in biological samples. In past years, mass spectrometry (MS) methods based on high resolution accurate masses (HRAM) have increasingly been applied to identify and quantify lipid species on the MS level. This strategy requires consideration of isobaric overlaps which may also result from various adduct ions.
