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Development of LC-FAIMS-MS and its application to lipidomics study of Acinetobacter baumannii infection. | LitMetric

AI Article Synopsis

  • * The method demonstrates high reproducibility with retention times showing 0.9 to 1.5% RSD and peak area RSD values of 5-10%, significantly improving the robustness of lipid analysis.
  • * In an investigation of serum lipid profiles in mice post-infection with Acinetobacter baumannii, it was observed that ether PC and ether PE lipid levels decreased significantly after 8 hours, indicating potential metabolic changes due to infection.

Article Abstract

The recent advances in mass spectrometry (MS) technologies have enabled comprehensive lipid profiling in biological samples. However, the robustness and efficiency of MS-based lipidomics is compromised by the complexity of biological samples. High-field asymmetric waveform ion mobility spectrometry (FAIMS) is a technology that can continuously transmit one type of ion, independent of the mass-to-charge ratio. Here we present the development and application of LC-FAIMS-MS/MS-based platform for untargeted lipidomics. We used 3 optimally balanced compensation voltages, i.e., 29 V, 34 V and 39 V, to analyze all subclasses of glycerophospholipids. The reproducibility of the method was evaluated using reference standards. The reproducibility of retention times ranged from 0.9% to 1.5% RSD; whereas RSD values of 5%-10% were observed for peak areas. More importantly, the coupling of a FAIMS device can significantly improve the robustness and efficiency. We exploited this NPLC-FAIMS-HRMS to analyze the serum lipid profiles in mice infected intranasally with Acinetobacter baumannii. The temporal profiles of serum lipids after A. baumannii inoculation were obtained for 4 h, 8 h, and 24 h. We found that nearly all ether PC and ether PE lipids were significantly decreased 8 h after inoculation. The resultant volcano plot illustrated the distribution of 28 increased and 28 decreased lipid species in mouse sera 24 h after inoculation. We also found that a single ether PE composition can comprise multiple isomeric structures, and the relative abundance of each isomer could be quantified using the newly developed NPLC-FAIMS-PRM method. We have demonstrated that the proposed LC-FAIMS-MS is a valuable platform for lipidomics.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11577210PMC
http://dx.doi.org/10.1016/j.jlr.2024.100668DOI Listing

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