Lipidomic Analysis

Holčapek, Michal; Liebisch, Gerhard; Ekroos, Kim

doi:10.1021/acs.analchem.7b05395

Cited by 184 publications

(165 citation statements)

References 55 publications

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“…This problem is not only restricted to the differentiation between 1-O-alkyl and 1-O-alk-1'-enyl species but also extends, for example, to the exact assignment of the sn-1 and sn-2 side chains or double bond positions 21 . Although desirable, it is rare that such ambiguities are communicated precisely and are considered in further steps of data analysis 10 . This leads to the situation that even in otherwise well performed systematic lipidomic studies the abundant class of ether lipids is not mentioned 22 .…”

Section: Discussionmentioning

confidence: 99%

Unequivocal mapping of molecular ether lipid species by LC-MS/MS in plasmalogen-deficient mice

Koch

Lackner

Wohlfarter

et al. 2020

Preprint

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Deficient ether lipid biosynthesis in rhizomelic chondrodysplasia punctata and other disorders is associated with a wide range of severe symptoms including small stature with proximal shortening of the limbs, contractures, facial dysmorphism, congenital cataracts, ichthyosis, spasticity, microcephaly, and mental disability. Mouse models are available but show less severe symptoms. In both humans and mice it has remained elusive which of the symptoms can be attributed to lack of plasmanyl or plasmenyl ether lipids. The latter compounds, better known as plasmalogens, harbor a vinyl ether double bond conferring special chemical and physical properties. Discrimination between plasmanyl and plasmenyl ether lipids is a major analytical challenge, especially in complex lipid extracts with many isobaric species. Consequently, these lipids are often neglected also in recent lipidomic studies. Here we present a comprehensive LC-MS/MS based approach that allows unequivocal distinction of these two lipid subclasses based on their chromatographic properties. The method was validated using a novel plasmalogen-deficient mouse model which lacks plasmanylethanolamine desaturase and therefore cannot form plasmenyl ether lipids. We demonstrate that plasmanylethanolamine desaturase deficiency causes an accumulation of plasmanyl species, a little studied but biologically important substance class.

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Section: Discussionmentioning

confidence: 99%

Unequivocal mapping of molecular ether lipid species by LC-MS/MS in plasmalogen-deficient mice

Koch

Lackner

Wohlfarter

et al. 2020

Preprint

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“…Lipids account for 90% of the surfactants in the lungs, and disorders of surfactants during pneumonia may cause changes in lipid metabolism [21]. Korneev, et al [22] reported that large amounts of lipid metabolites were produced by bacteria, and lipids were important for the structure and function of bacteria.…”

Section: Discussionmentioning

confidence: 99%

Lipid Profile and Differential Lipids in Serum Predict Severity of Community-Acquired Pneumonia: A Prospective, Multi-Centre Study

Chen

Zheng

Zhang

et al. 2020

Preprint

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Background: This study aimed to characterize the lipidomic responses to community-acquired pneumonia (CAP), and validate the effectiveness of these lipids as indicators of the severity of the CAP as well as of the risk of death in severe CAP.Methods: Lipidomic profiles of serum were generated using ultra high-performance liquid chromatography with tandem mass spectrometry (UHPLC-MS/MS). Principal component analysis (PCA) and supervised orthogonal partial least squares discriminant analysis (OPLS-DA) was implemented to distinguish between the classes of samples and to identify the differentially expressed variables. The area under the receiver operating characteristic curve of the significant differential lipids was compared. Spearman’s rank correlation test and multiple linear regression (MLR) analysis were applied to further explore the putative differentially expressed lipids correlation with clinical parameters. Kaplan–Meier methods were used to build 30-day survival curves, and survival rates were compared using the log-rank test.Results: A total of 6 categories and 509 lipid species were detected in the positive ion mode using UPLC-MS/MS. In the negative ion mode, 3 categories and 195 lipid species were detected. According to the screening criteria, 5 lipids in total were selected as target lipids, which are PC (16:0_18:1), PC (18:2_20:4), PC (20:5_18:2), PC (36:4) and PC (38:6). Area under curves (AUC) for all five li p ids were superior to PSI (0.749, 0.550-0.892) and CURB-65 (0.772, 0.575-0.908). PC (18: 2_20: 4), PC (38: 6) and PC (36: 4) was negatively related to FiO 2 and PC (18: 2_20: 4) was inversely correlated with the PCT. As the relative abundance of PC (16:0_18:1), PC (36: 4), PC (20: 5_18: 2) and PC (38: 6) decreased, the length of hospital stay significantly extended. There was a statistically significant difference in the probability of 30-day mortality between the high-abundance and low-abundance groups of PC (16: 0_18: 1), PC (36: 4) and PC (20: 5_18: 2) (og-rank p <0.05).Conclusion: Our research suggests that the serum lipidomics approach of the UHPLC-MS/MS platform can be used to reveal lipid changes during CAP and establish lipid profiles related to disease severity.Trial registration: ClinicalTrials.gov, NCT03093220. Registered on 28 March 2017 (retrospectively registered).

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“…As the lipidomics field still awaits the mainstream adoption of the next‐generation technologies mentioned above, the major routine lipidomics methodologies applied today, shotgun‐, chromatography‐, and imaging‐based MS, are still almost exclusively based on the conventional MS and MS/MS methods. These approaches yield lower structural information, typically sum lipid composition (e.g.…”

Section: Interpreting Lipid Datamentioning

confidence: 99%

Reshaping Lipid Biochemistry by Pushing Barriers in Structural Lipidomics

Siegel

Ekroos²,

Ellis

2019

Angewandte Chemie

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Lipidomics is a rapidly growing field with numerous examples showing the importance of lipid molecules throughout biology. It has also shed light onto the vast and complex functions performed by many lipids that possess an immense diversity in molecular structures. Mass spectrometry (MS) is the tool of choice for analyzing lipids and has been the key catalyst driving the field forward. However, MS does not yet permit true molecular lipidomics wherein the identification and quantification of lipids having defined molecular structures can be routinely achieved. Here we describe recent advances in MS‐based lipidomics that allow access to higher levels of molecular information in lipidomics experiments. These advances will form a key piece of the puzzle as the field moves towards systems characterization of lipids at the molecular level.

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Lipidomic Analysis

Cited by 184 publications

References 55 publications

Unequivocal mapping of molecular ether lipid species by LC-MS/MS in plasmalogen-deficient mice

Unequivocal mapping of molecular ether lipid species by LC-MS/MS in plasmalogen-deficient mice

Lipid Profile and Differential Lipids in Serum Predict Severity of Community-Acquired Pneumonia: A Prospective, Multi-Centre Study

Reshaping Lipid Biochemistry by Pushing Barriers in Structural Lipidomics

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