Τίτλος:
Congruence and Complementarity of Differential Mobility Spectrometry and NMR Spectroscopy for Plasma Lipidomics
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
The lipid composition of lipoprotein particles is determinative of their respective formation and function. In turn, the combination and correlation of nuclear magnetic resonance (NMR)-based lipoprotein measurements with mass spectrometry (MS)-based lipidomics is an appealing technological combination for a better understanding of lipid metabolism in health and disease. Here, we developed a combined workflow for subsequent NMR- and MS-based analysis on single sample aliquots of human plasma. We evaluated the quantitative agreement of the two platforms for lipid quantification and benchmarked our combined workflow. We investigated the congruence and complementarity between the platforms in order to facilitate a better understanding of patho-physiological lipoprotein and lipid alterations. We evaluated the correlation and agreement between the platforms. Next, we compared lipid class concentrations between healthy controls and rheumatoid arthritis patient samples to investigate the consensus among the platforms on differentiating the two groups. Finally, we performed correlation analysis between all measured lipoprotein particles and lipid species. We found excellent agreement and correlation (r > 0.8) between the platforms and their respective diagnostic performance. Additionally, we generated correlation maps detailing lipoprotein/lipid interactions and describe disease-relevant correlations. © 2022 by the authors.
Συγγραφείς:
Ghorasaini, M.
Tsezou, K.I.
Verhoeven, A.
Mohammed, Y.
Vlachoyiannopoulos, P.
Mikros, E.
Giera, M.
Περιοδικό:
Nature Metabolism
Λέξεις-κλειδιά:
cholesterol ester; lipid; lipoprotein; phospholipid; triacylglycerol, Article; consensus; controlled study; correlation analysis; data processing; diagnostic test accuracy study; diagnostic value; disease activity; field asymmetric waveform ion mobility spectrometry; high performance liquid chromatography; human; lipid analysis; lipid composition; lipidomics; liquid chromatography-mass spectrometry; major clinical study; mass spectrometry; nuclear magnetic resonance; nuclear magnetic resonance spectroscopy; pathophysiology; proton nuclear magnetic resonance; quantitative analysis; rheumatoid arthritis; statistical analysis; ultra performance liquid chromatography; workflow
DOI:
10.3390/metabo12111030
