Severe COVID-19 Is Characterised by Perturbations in Plasma Amines Correlated with Immune Response Markers, and Linked to Inflammation and Oxidative Stress

Naama Karu*, Alida Kindt, Adriaan J. van Gammeren, Anton A.M. Ermens, Amy C. Harms, Lutzen Portengen, Roel C.H. Vermeulen, Willem A. Dik, Anton W. Langerak, Vincent H.J. van der Velden, Thomas Hankemeier

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)
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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 con-valescing 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.

Original languageEnglish
Article number618
JournalMetabolites
Volume12
Issue number7
DOIs
Publication statusPublished - 2 Jul 2022

Bibliographical note

Funding Information:
Funding: The study was supported by the TKI-LSH project ‘METACOVID’ and by the NWA project ‘Measuring and detection of health’. The research is part of the Netherlands X-omics Initiative and partially funded by NWO, project 184.034.019.

Publisher Copyright:
© 2022 by the authors. Li-censee MDPI, Basel, Switzerland.

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