Quantitative serum nmr spectroscopy stratifies covid-19 patients and sheds light on interfaces of host metabolism and the immune response with cytokines and clinical parameters
The complex manifestations of COVID-19 are still not fully decoded on the molecular level. We combined quantitative the nuclear magnetic resonance (NMR) spectroscopy serum analysis of metabolites, lipoproteins and inflammation markers with clinical parameters and a targeted cytokine panel to charact...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
16 December 2022
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| In: |
Metabolites
Year: 2022, Volume: 12, Issue: 12, Pages: 1-29 |
| ISSN: | 2218-1989 |
| DOI: | 10.3390/metabo12121277 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3390/metabo12121277 Verlag, lizenzpflichtig, Volltext: https://www.mdpi.com/2218-1989/12/12/1277 
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| Author Notes: | Titus Rössler, Georgy Berezhnoy, Yogesh Singh, Claire Cannet, Tony Reinsperger, Hartmut Schäfer, Manfred Spraul, Manfred Kneilling, Uta Merle and Christoph Trautwein |
| Summary: | The complex manifestations of COVID-19 are still not fully decoded on the molecular level. We combined quantitative the nuclear magnetic resonance (NMR) spectroscopy serum analysis of metabolites, lipoproteins and inflammation markers with clinical parameters and a targeted cytokine panel to characterize COVID-19 in a large (534 patient samples, 305 controls) outpatient cohort of recently tested PCR-positive patients. The COVID-19 cohort consisted of patients who were predominantly in the initial phase of the disease and mostly exhibited a milder disease course. Concerning the metabolic profiles of SARS-CoV-2-infected patients, we identified markers of oxidative stress and a severe dysregulation of energy metabolism. NMR markers, such as phenylalanine, inflammatory glycoproteins (Glyc) and their ratio with the previously reported supramolecular phospholipid composite (Glyc/SPC), showed a predictive power comparable to laboratory parameters such as C-reactive protein (CRP) or ferritin. We demonstrated interfaces between the metabolism and the immune system, e.g., we could trace an interleukin (IL-6)-induced transformation of a high-density lipoprotein (HDL) to a pro-inflammatory actor. Finally, we showed that metadata such as age, sex and constitution (e.g., body mass index, BMI) need to be considered when exploring new biomarkers and that adding NMR parameters to existing diagnoses expands the diagnostic toolbox for patient stratification and personalized medicine. |
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| Item Description: | Gesehen am 21.11.2023 |
| Physical Description: | Online Resource |
| ISSN: | 2218-1989 |
| DOI: | 10.3390/metabo12121277 |