How lipidomics can transform our understanding of virus infections

Kyle, Jennifer

doi:10.1080/14789450.2021.1929177

Cited by 7 publications

(6 citation statements)

References 30 publications

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“…Future studies that can combine and connect the information obtained from lipidomics analyses with clinical lipid-based lipoprotein panel results will accelerate our power to discover biomarkers and the mechanisms associated with the short- and long-term health impacts of shift work. 60 …”

Section: Discussionmentioning

confidence: 99%

Simulated Night- Shift Schedule Disrupts the Plasma Lipidome and Reveals Early Markers of Cardiovascular Disease Risk

Kyle¹,

Bramer²,

Claborne³

et al. 2022

NSS

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Section: Discussionmentioning

confidence: 99%

Simulated Night- Shift Schedule Disrupts the Plasma Lipidome and Reveals Early Markers of Cardiovascular Disease Risk

Kyle¹,

Bramer²,

Claborne³

et al. 2022

NSS

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“…Further, lipids are bioactive molecules in the organism's immune system and small differences in their chemical structures can have a strong impact on the immune response [18] , [19] . For example, eicosanoids have signaling functions that depend on the location or orientation of a hydroxyl group in the fatty acid chain, small alterations in which result in anti- or pro-inflammatory stimuli [20] . Oxidative stress triggered by infection profoundly alters the lipid composition of the host cells and circulation.…”

Section: Introductionmentioning

confidence: 99%

“…The resultant interference with the functions of various enzymes has significant biological consequences [21] which are difficult to quantify metabolically. Fortunately, the advent of powerful tools of metabolomics techniques in combination with bioinformatics and artificial intelligence are of considerable help in understanding the interactions between infectious processes and the metabolic responses of the host [19] , [20] , [21] , [22] , [23] . Studies comparing the lipidome of COVID-19-positive patients vs. healthy subjects have been reported, and distinctive lipid species have been identified [10] .…”

Section: Introductionmentioning

confidence: 99%

Machine learning and semi-targeted lipidomics identify distinct serum lipid signatures in hospitalized COVID-19-positive and COVID-19-negative patients

et al. 2022

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“…The involvement of lipids in COVID-19 is far reaching. Coronaviruses first react with the host cell membrane for entry and infection, and this has brought novel insights into the involvement of cellular lipids [ 3 , 4 , 5 , 6 , 7 ]. Lipids are the main building blocks of cell membranes and play a crucial role in the viral replication process, affecting the host lipid metabolism [ 4 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Association of Altered Plasma Lipidome with Disease Severity in COVID-19 Patients

Zhang,

Karu,

Kindt

et al. 2024

Biomolecules

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The severity of COVID-19 is linked to an imbalanced immune response. The dysregulated metabolism of small molecules and bioactive lipids has also been associated with disease severity. To promote understanding of the disease biochemistry and provide targets for intervention, we applied a range of LC-MS platforms to analyze over 100 plasma samples from patients with varying COVID-19 severity and with detailed clinical information on inflammatory responses (>30 immune markers). This is the third publication in a series, and it reports the results of comprehensive lipidome profiling using targeted LC-MS/MS. We identified 1076 lipid features across 25 subclasses, including glycerophospholipids, sterols, glycerolipids, and sphingolipids, among which 531 lipid features were dramatically changed in the plasma of intensive care unit (ICU) patients compared to patients in the ward. Patients in the ICU showed 1.3–57-fold increases in ceramides, (lyso-)glycerophospholipids, diglycerides, triglycerides, and plasmagen phosphoethanolamines, and 1.3–2-fold lower levels of a cyclic lysophosphatidic acid, sphingosine-1-phosphates, sphingomyelins, arachidonic acid-containing phospholipids, lactosylceramide, and cholesterol esters compared to patients in the ward. Specifically, phosphatidylinositols (PIs) showed strong fatty acid saturation-dependent behavior, with saturated fatty acid (SFA)- and monosaturated fatty acid (MUFA)-derived PI decreasing and polystaturated (PUFA)-derived PI increasing. We also found ~4000 significant Spearman correlations between lipids and multiple clinical markers of immune response with |R| ≥ 0.35 and FDR corrected Q < 0.05. Except for lysophosphatidic acid, lysophospholipids were positively associated with the CD4 fraction of T cells, and the cytokines IL-8 and IL-18. In contrast, sphingosine-1-phosphates were negatively correlated with innate immune markers such as CRP and IL-6. Further indications of metabolic changes in moderate COVID-19 disease were demonstrated in recovering ward patients compared to those at the start of hospitalization, where 99 lipid species were altered (6 increased by 30–62%; 93 decreased by 1.3–2.8-fold). Overall, these findings support and expand on early reports that dysregulated lipid metabolism is involved in COVID-19.

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How lipidomics can transform our understanding of virus infections

Cited by 7 publications

References 30 publications

Simulated Night- Shift Schedule Disrupts the Plasma Lipidome and Reveals Early Markers of Cardiovascular Disease Risk

Simulated Night- Shift Schedule Disrupts the Plasma Lipidome and Reveals Early Markers of Cardiovascular Disease Risk

Machine learning and semi-targeted lipidomics identify distinct serum lipid signatures in hospitalized COVID-19-positive and COVID-19-negative patients

Association of Altered Plasma Lipidome with Disease Severity in COVID-19 Patients

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