Back to Search
Start Over
Severe COVID-19 Is Characterised by Perturbations in Plasma Amines Correlated with Immune Response Markers, and Linked to Inflammation and Oxidative Stress
- Source :
- Metabolites, 12(7). MDPI Multidisciplinary Digital Publishing Institute, Metabolites, 12(7):618. MDPI, Metabolites, 12(7):618. Multidisciplinary Digital Publishing Institute (MDPI), Metabolites; Volume 12; Issue 7; Pages: 618
- Publication Year :
- 2022
-
Abstract
- The COVID-19 pandemic raised a need to characterise the biochemical response to SARS-CoV-2 infection and find biological markers to identify therapeutic targets. In support of these aims, we applied a range of LC-MS platforms to analyse over 100 plasma samples from patients with varying COVID-19 severity and with detailed clinical information on inflammatory responses (>30 immune markers). The first publication in a series reports the results of quantitative LC-MS/MS profiling of 56 amino acids and derivatives. A comparison between samples taken from ICU and ward patients revealed a notable increase in ten post-translationally modified amino acids that correlated with markers indicative of an excessive immune response: TNF-alpha, neutrophils, markers for macrophage, and leukocyte activation. Severe patients also had increased kynurenine, positively correlated with CRP and cytokines that induce its production. ICU and ward patients with high IL-6 showed decreased levels of 22 immune-supporting and anti-oxidative amino acids and derivatives (e.g., glutathione, GABA). These negatively correlated with CRP and IL-6 and positively correlated with markers indicative of adaptive immune activation. Including corresponding alterations in convalescing ward patients, the overall metabolic picture of severe COVID-19 reflected enhanced metabolic demands to maintain cell proliferation and redox balance, alongside increased inflammation and oxidative stress.
Details
- ISSN :
- 22181989
- Volume :
- 12
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Metabolites
- Accession number :
- edsair.doi.dedup.....eabe26a329b441fe370bc4a79edadaaa