ArticleMetabolites2022
Persistence of Metabolomic Changes in Patients during Post-COVID Phase: A Prospective, Observational Study.
Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- COVID-19 in hemodialysis patients: New insights into metabolomic profile dynamics from 60 days pre- to 60 days post-diagnosis.PloS one · 2026Observational
- Assessment of physical status and analysis of lipidomic and metabolomic alterations in patients with Post-COVID-19 condition.PloS one · 2026Article
- Comprehensive clinical and metabolomics profiling of COVID-19 Mexican patients across three epidemiological waves.Frontiers in molecular biosciences · 2025Article
- COVIDomics: Metabolomic Views on COVID-19.Metabolites · 2024Article
- LongitudinalViruses · 2024Article
- Metabolomic profiling of COVID-19 using serum and urine samples in intensive care and medical ward cohorts.Scientific reports · 2024Article
- Amino Acid Metabolism in Leukocytes Showing In Vitro IgG Memory from SARS-CoV2-Infected Patients.Diseases (Basel, Switzerland) · 2024Review
- Longitudinal NMR-Based Metabolomics Study Reveals How Hospitalized COVID-19 Patients Recover: Evidence of Dyslipidemia and Energy Metabolism Dysregulation.International journal of molecular sciences · 2024Article
- Exploring metabolic anomalies in COVID-19 and post-COVID-19: a machine learning approach with explainable artificial intelligence.Frontiers in molecular biosciences · 2024Article
- Methylprednisolone therapy induces differential metabolic trajectories in severe COVID-19 patients.mSystems · 2023Article
- Stratification of hypertension and SARS-CoV-2 infection by quantitative NMR spectroscopy of human blood serum.Communications medicine · 2023Article
- Serum Acylcarnitines Profile in Critically Ill Survivors According to Illness Severity and ICU Length of Stay: An Observational Study.Nutrients · 2023Observational
- Changes in the Urine Metabolomic Profile in Patients Recovering from Severe COVID-19.Metabolites · 2023Article
- Combining Semi-Targeted Metabolomics and Machine Learning to Identify Metabolic Alterations in the Serum and Urine of Hospitalized Patients with COVID-19.Biomolecules · 2023Article
- Refueling the post COVID-19 brain: potential role of ketogenic medium chain triglyceride supplementation: an hypothesis.Frontiers in nutrition · 2023Article
- Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19.Frontiers in molecular biosciences · 2023Review
- Signatures of Mitochondrial Dysfunction and Impaired Fatty Acid Metabolism in Plasma of Patients with Post-Acute Sequelae of COVID-19 (PASC).Metabolites · 2022Article
- Analysis of mitochondrial function in lymphocytes obtained from COVID-19 patients.International journal of immunopathology and pharmacologyArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Several relatively recently published studies have shown changes in plasma metabolites in various viral diseases such as Zika, Dengue, RSV or SARS-CoV-1. The aim of this study was to analyze the metabolome profile of patients during acute COVID-19 approximately one month after the acute infection and to compare these results with healthy (SARS-CoV-2-negative) controls. The metabolome analysis was performed by NMR spectroscopy from the peripheral blood of patients and controls. The blood samples were collected on 3 different occasions (at admission, during hospitalization and on control visit after discharge from the hospital). When comparing sample groups (based on the date of acquisition) to controls, there is an indicative shift in metabolomics features based on the time passed after the first sample was taken towards controls. Based on the random forest algorithm, there is a strong discriminatory predictive value between controls and different sample groups (AUC equals 1 for controls versus samples taken at admission, Mathew correlation coefficient equals 1). Significant metabolomic changes persist in patients more than a month after acute SARS-CoV-2 infection. The random forest algorithm shows very strong discrimination (almost ideal) when comparing metabolite levels of patients in two various stages of disease and during the recovery period compared to SARS-CoV-2-negative controls.
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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.