ArticleMetabolomics : Official journal of the Metabolomic Society2021
Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome.
Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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Who cites it
70 citing papers in PubMed, 100 citations in OpenAlex.
- Knowledge-driven interpretable neural networks provide mechanistic insight.Genome research · 2026Article
- Benchmarking untargeted metabolomics data quality with allopurinol-induced perturbations.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Pilot longitudinal integrated transcriptomic-metabolomic study reveals immune and metabolic signatures in non-hospitalized healthcare workers with long COVID.Frontiers in cellular and infection microbiology · 2026Article
- Severity-dependent metabolic rewiring in COVID-19 based on untargeted metabolomic profiling of patient plasma.PloS one · 2026Article
- COVID-19 in hemodialysis patients: New insights into metabolomic profile dynamics from 60 days pre- to 60 days post-diagnosis.PloS one · 2026Observational
- mzLearn as a data-driven LC/MS signal detection algorithm that enables pre-trained generative models for untargeted metabolomics.Communications chemistry · 2025Article
- Gut Microbial Genetic Variation Prolongs Host Healthy Longevity and Remodels Metabolome and Proteome in Drosophila Melanogaster.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- SMART 2.0 Statistical Metabolomics Analysis: An R Tool 2.0.Analytical chemistry · 2025Article
- Comprehensive metabolomics combined with machine learning for the identification of SARS-CoV-2 and other viruses directly from upper respiratory samples.Journal of clinical microbiology · 2025Article
- Plasma metabolomics signatures predict COVID-19 patient outcome at ICU admission comparable to clinical scores.Scientific reports · 2025Article
- Severe acute respiratory syndrome coronavirus 2 infection unevenly impacts metabolism in the coronal periphery of the lungs.iScience · 2025Article
- Development of a metabolome-based respiratory infection prognostic during COVID-19 arrival.mBio · 2025Article
- Integration of metabolomics methodologies for the development of predictive models for mortality risk in elderly patients with severe COVID-19.BMC infectious diseases · 2025Article
- COVID-19: A Systematic Review of Metabolomics Data and Predicting Potential Biomarkers Based on Pathway Analysis.Tanaffos · 2025Review
- Proteomic and metabolomic analysis of serum in women infected with COVID-19 during late pregnancy.Frontiers in immunology · 2025Article
- Metabolomic heterogeneity of ageing with ethnic diversity: a step closer to healthy ageing.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Untargeted metabolomics and lipidomics in COVID-19 patient plasma reveals disease severity biomarkers.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Longitudinal Metabolomics Reveals Metabolic Dysregulation Dynamics in Patients with Severe COVID-19.Metabolites · 2024Article
- Multiplatform Metabolomics: Enhancing the Severity Risk Prognosis of SARS-CoV-2 Infection.ACS omega · 2024Article
- Metabolomic Insights into COVID-19 Severity: A Scoping Review.Metabolites · 2024Article
10 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 1 institution in 3 countries.
Funding
Abstract
introductionThe diagnosis of COVID-19 is normally based on the qualitative detection of viral nucleic acid sequences. Properties of the host response are not measured but are key in determining outcome. Although metabolic profiles are well suited to capture host state, most metabolomics studies are either underpowered, measure only a restricted subset of metabolites, compare infected individuals against uninfected control cohorts that are not suitably matched, or do not provide a compact predictive model.
objectivesHere we provide a well-powered, untargeted metabolomics assessment of 120 COVID-19 patient samples acquired at hospital admission. The study aims to predict the patient's infection severity (i.e., mild or severe) and potential outcome (i.e., discharged or deceased).
methodsHigh resolution untargeted UHPLC-MS/MS analysis was performed on patient serum using both positive and negative ionization modes. A subset of 20 intermediary metabolites predictive of severity or outcome were selected based on univariate statistical significance and a multiple predictor Bayesian logistic regression model was created.
resultsThe predictors were selected for their relevant biological function and include deoxycytidine and ureidopropionate (indirectly reflecting viral load), kynurenine (reflecting host inflammatory response), and multiple short chain acylcarnitines (energy metabolism) among others. Currently, this approach predicts outcome and severity with a Monte Carlo cross validated area under the ROC curve of 0.792 (SD 0.09) and 0.793 (SD 0.08), respectively. A blind validation study on an additional 90 patients predicted outcome and severity at ROC AUC of 0.83 (CI 0.74-0.91) and 0.76 (CI 0.67-0.86).
conclusionPrognostic tests based on the markers discussed in this paper could allow improvement in the planning of COVID-19 patient treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.