Journal Article

DZNE-2025-00765

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Label-free quantitative shotgun analysis of bis(monoacylglycero)phosphate lipids.

Wang, L. Y. ; Derks, R. J. E. ; Brewster, K. A. J. ; Prtvar, D.DZNE* ; Tahirovic, S.DZNE* ; Berghoff, S. A.DZNE* ; Giera, M.

2025
Springer Heidelberg

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Please use a persistent id in citations: doi:10.1007/s00216-025-05890-4

Abstract: Interest in the role of bis(monoacylglycero)phosphate (BMP) lipids in lysosomal function has significantly grown in recent years. Emerging evidence highlights BMPs as critical players not only in Niemann-Pick disease type C (NPC) but also in other pathologies such as neurodegeneration, cardiovascular diseases, and cancers. However, the selective analysis of BMPs is significantly hindered by isomeric phosphatidylglycerol (PG) lipids. While this can be addressed by chromatographic separation, it poses a significant challenge for shotgun lipidomics approaches. Here, we present a shotgun lipidomics strategy to detect and separate BMPs from PGs using differential fragmentation of sodiated ions. This approach, including isotope correction, is integrated into an existing quantitative shotgun lipidomics workflow (Lipidyzer combined with Shotgun Lipidomics Assistant software) that simultaneously quantifies >1400 lipids. Validation using K-562 cell extracts demonstrated acceptable linearity, trueness, repeatability, and a limit of quantification of 0.12 µM, confirming robust analytical performance. Finally, characteristic accumulation of BMP lipids is shown in bone marrow-derived macrophages from NPC mice, demonstrating its applicability. Our method presents a quantitative, selective, rapid, and robust solution for shotgun-based BMP analysis without the need for extensive chromatographic separation or derivatization. The integration of BMP lipid detection into the Lipidyzer platform, alongside the recently launched iSODA data visualization tool, empowers chemists and biologists to gain deeper insights into BMP lipid biology.

Keyword(s): Monoglycerides: analysis (MeSH) ; Monoglycerides: metabolism (MeSH) ; Animals (MeSH) ; Lipidomics: methods (MeSH) ; Mice (MeSH) ; Humans (MeSH) ; Lysophospholipids: analysis (MeSH) ; Lysophospholipids: metabolism (MeSH) ; Niemann-Pick Disease, Type C: metabolism (MeSH) ; Macrophages: chemistry (MeSH) ; Macrophages: metabolism (MeSH) ; Limit of Detection (MeSH) ; Tandem Mass Spectrometry: methods (MeSH) ; BMP ; Flow injection ; Label free ; Mass spectrometry ; Shotgun lipidomics ; Monoglycerides ; bis(monoacylglyceryl)phosphate ; Lysophospholipids

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Contributing Institute(s):

1. Juvenile Neurodegeneration (AG Tahirovic)
2. Molecular Neurobiology (AG Simons)

Research Program(s):

1. 352 - Disease Mechanisms (POF4-352) (POF4-352)
2. 351 - Brain Function (POF4-351) (POF4-351)

Appears in the scientific report 2025

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Database coverage:
; ; ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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