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
Abstract
:1. Introduction
1.1. Metabolomics in COVID-19 Research
1.2. Usage of Novel NMR Markers
1.3. Immunological Aspects of COVID-19 and Their Link to Metabolomics
1.4. Aims of the Study
2. Materials and Methods
2.1. Patient Recruitment and Sample Collection
- (1)
- Only patients with a biobanked serum sample were included in the IVDr cohort;
- (2)
- In the IVDr cohort, 3 patients were included who had been hospitalized prior to study inclusion due to COVID-19 (inclusion of these patients was performed at the release timepoint for subsequent monitoring in an ambulatory setting after hospital release; the first sampling was performed 1, 2 and 6 days after discharge from the hospital and 2, 6 and 7 days after symptom onset);
- (3)
- The IVDr cohort consisted both of patients who entered data into the application(which was used for reports of symptoms and vital parameters) and of patients that didn’t.This allowed patients who were unable to use the app to be included (e.g., due to high age, no mobile device, etc.). Therefore, our IVDr cohort differs to a relevant extent from the published analysis [46], in which only patients with ambulant parameters before hospitalization were included.
2.2. Quantitative NMR Spectroscopy
2.3. Quantification of Cytokines
2.4. Statistics and Data Illustration
3. Results
3.1. Comparison of COVID-19 vs. Healthy Controls
3.2. Comparison of the Outpatient Cohort vs. Healthy Controls
3.3. Comparison of Hospitalized Sub-Cohort with the Sub-Cohort That Stayed in Outpatient Care
3.4. Biomarker Analysis
3.5. Cytokine Correlation Analysis
3.6. Investigation of Novel NMR-Based Inflammation Parameters in the Context of COVID-19
4. Discussion
4.1. Abnormalities in Energy and Amino Acid Metabolism Might Indicate Viral Intervention and Host Response and Might Have Immunological Implications
4.2. Profound Lipoprotein Alterations Might Be Attributable to Effects of the Virus, and Pro-Inflammatory Effects of IL-6 Are Reflected in Specific HDL Profiles
4.3. Several Clinical Parameters and Cytokines Indicate More Severe Disease Courses
4.4. Pre-Existing Conditions and Obesity Complicate the Identification of Possible Biomarkers
4.5. NMR Biomarkers Perform Well in Stratifying COVID-19 Patients
4.6. Glyc and SPC Reliably Indicate COVID-19 Severity and Offer Exciting Possibilities for the Assessment of Inflammatory Activity
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Rössler, T.; Berezhnoy, G.; Singh, Y.; Cannet, C.; Reinsperger, T.; Schäfer, H.; Spraul, M.; Kneilling, M.; Merle, U.; Trautwein, C. 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. Metabolites 2022, 12, 1277. https://doi.org/10.3390/metabo12121277
Rössler T, Berezhnoy G, Singh Y, Cannet C, Reinsperger T, Schäfer H, Spraul M, Kneilling M, Merle U, Trautwein C. 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. Metabolites. 2022; 12(12):1277. https://doi.org/10.3390/metabo12121277
Chicago/Turabian StyleRössler, Titus, Georgy Berezhnoy, Yogesh Singh, Claire Cannet, Tony Reinsperger, Hartmut Schäfer, Manfred Spraul, Manfred Kneilling, Uta Merle, and Christoph Trautwein. 2022. "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" Metabolites 12, no. 12: 1277. https://doi.org/10.3390/metabo12121277