Observational studyCells2021
Biological and Clinical Factors Contributing to the Metabolic Heterogeneity of Hospitalized Patients with and without COVID-19.
Observational study in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed.
- Beneficial effects of L-Arginine in patients hospitalized for COVID-19: New insights from a randomized clinical trial.Pharmacological research · 2023Trial
- Host metabolic responses to SARS-CoV-2 and influenza viruses: parallels and contrasts.Metabolomics : Official journal of the Metabolomic Society · 2026Review
- Plasma multi-omics profiling unravels molecular alterations and biomarker panels during recovery from severe coronavirus disease 2019: a pilot study.BMC infectious diseases · 2026Article
- Metabolomics and Cytokine Signatures in COVID-19: Uncovering Immunometabolism in Pathogenesis.Metabolites · 2025Article
- N,N-Diethylacetamide and N,N-Dipropylacetamide inhibit the NF-kB pathway in in vitro, ex vivo and in vivo models of inflammation-induced preterm birth.Scientific reports · 2025Article
- 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
- Metabolomic characterization of COVID-19 survivors in Jilin province.Respiratory research · 2024Article
- Increased Oxidative Stress and Decreased Citrulline in Blood Associated with Severe Novel Coronavirus Pneumonia in Adult Patients.International journal of molecular sciences · 2024Article
- SARS-CoV-2 Infection and Anemia-A Focus on RBC Deformability and Membrane Proteomics-Integrated Observational Prospective Study.Microorganisms · 2024Article
- Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment.Journal of molecular medicine (Berlin, Germany) · 2024Article
- Article
- Metabolic signatures of cardiorenal dysfunction in plasma from sickle cell patients as a function of therapeutic transfusion and hydroxyurea treatment.Haematologica · 2023Article
- Glycosylated extracellular mucin domains protect against SARS-CoV-2 infection at the respiratory surface.PLoS pathogens · 2023Article
- In vivo evaluation of the effect of sickle cell hemoglobin S, C and therapeutic transfusion on erythrocyte metabolism and cardiorenal dysfunction.American journal of hematology · 2023Article
- Red Blood Cell Metabolism In Vivo and In Vitro.Metabolites · 2023Review
- Red Blood Cell Omics and Machine Learning in Transfusion Medicine: Singularity Is Near.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023Review
- Neutrophil metabolomics in severe COVID-19 reveal GAPDH as a suppressor of neutrophil extracellular trap formation.Nature communications · 2023Article
- Glutamine Deficiency Promotes Immune and Endothelial Cell Dysfunction in COVID-19.International journal of molecular sciences · 2023Review
- Regulated Arginine Metabolism in Immunopathogenesis of a Wide Range of Diseases: Is There a Way to Pass between Scylla and Charybdis?Current issues in molecular biology · 2023Review
Corrections and comments
- Update of
Authors and funding
21 authors.
Funding
Abstract
The Corona Virus Disease 2019 (COVID-19) pandemic represents an ongoing worldwide challenge. The present large study sought to understand independent and overlapping metabolic features of samples from acutely ill patients (n = 831) that tested positive (n = 543) or negative (n = 288) for COVID-19. High-throughput metabolomics analyses were complemented with antigen and enzymatic activity assays on plasma from acutely ill patients collected while in the emergency department, at admission, or during hospitalization. Lipidomics analyses were also performed on COVID-19-positive or -negative subjects with the lowest and highest body mass index (n = 60/group). Significant changes in amino acid and fatty acid/acylcarnitine metabolism emerged as highly relevant markers of disease severity, progression, and prognosis as a function of biological and clinical variables in these patients. Further, machine learning models were trained by entering all metabolomics and clinical data from half of the COVID-19 patient cohort and then tested on the other half, yielding ~78% prediction accuracy. Finally, the extensive amount of information accumulated in this large, prospective, observational study provides a foundation for mechanistic follow-up studies and data sharing opportunities, which will advance our understanding of the characteristics of the plasma metabolism in COVID-19 and other acute critical illnesses.
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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.