ArticleFrontiers in immunology2022
Metabolite profile of COVID-19 revealed by UPLC-MS/MS-based widely targeted metabolomics.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 37 citations in OpenAlex.
- The Divergent Metabolomic Landscape of COVID-19 and Community-Acquired Pneumonia.Critical care explorations · 2026Observational
- Elucidating therapeutic mechanisms of naringin and phloridzin on ulcerative colitis mice by metabolomics-based comparative analysis.Natural products and bioprospecting · 2026Article
- Multi-phase hybrid metabolomics framework identifies clinically applicable plasma signatures for early detection of gastric cancer.Nature communications · 2026Article
- Microbiome-Metabolome Crosstalk as a Driver of COVID-19 Severity.Medical sciences (Basel, Switzerland) · 2026Article
- Current Advancements in Untargeted Metabolomics Analysis and Testing Driven by Machine Learning: Prospects for Artificial Intelligence in Patient-Centric Healthcare Transformation.Applied biochemistry and biotechnology · 2026Review
- MTHFR allele and one-carbon metabolic profile predict severity of COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Homeostasis of glucose and lipid metabolism during physiological responses to a simulated hypoxic high altitude environment.Nature communications · 2025Article
- Severe acute respiratory syndrome coronavirus 2 infection unevenly impacts metabolism in the coronal periphery of the lungs.iScience · 2025Article
- Comparative plasma metabolomics of Delta and Omicron SARS-CoV-2 variants: insights into variant-specific pathogenesis and therapeutic implications.Frontiers in cellular and infection microbiology · 2025Article
- Metabolomic Insights into COVID-19 Severity: A Scoping Review.Metabolites · 2024Article
- Article
- Nucleotide, Phospholipid, and Kynurenine Metabolites Are Robustly Associated with COVID-19 Severity and Time of Plasma Sample Collection in a Prospective Cohort Study.International journal of molecular sciences · 2023Article
- Lipid Metabolism Disorder in Cerebrospinal Fluid Related to Parkinson's Disease.Brain sciences · 2023Article
- Article
- Common molecular signatures between coronavirus infection and Alzheimer's disease reveal targets for drug development.bioRxiv : the preprint server for biology · 2023Article
- Label-Free SERS for Rapid Differentiation of SARS-CoV-2-Induced Serum Metabolic Profiles in Non-Hospitalized Adults.Analytical chemistry · 2023Article
- Crosstalk between COVID-19 Infection and Kidney Diseases: A Review on the Metabolomic Approaches.Vaccines · 2023Review
- Common Molecular Signatures Between Coronavirus Infection and Alzheimer's Disease Reveal Targets for Drug Development.Journal of Alzheimer's disease : JAD · 2023Article
- Systematic Mendelian randomization study of the effect of gut microbiome and plasma metabolome on severe COVID-19.Frontiers in immunology · 2023Article
- Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19.Frontiers in molecular biosciences · 2023Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The metabolic characteristics of COVID-19 disease are still largely unknown. Here, 44 patients with COVID-19 (31 mild COVID-19 patients and 13 severe COVID-19 patients), 42 healthy controls (HC), and 42 patients with community-acquired pneumonia (CAP), were involved in the study to assess their serum metabolomic profiles. We used widely targeted metabolomics based on an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The differentially expressed metabolites in the plasma of mild and severe COVID-19 patients, CAP patients, and HC subjects were screened, and the main metabolic pathways involved were analyzed. Multiple mature machine learning algorithms confirmed that the metabolites performed excellently in discriminating COVID-19 groups from CAP and HC subjects, with an area under the curve (AUC) of 1. The specific dysregulation of AMP, dGMP,
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