ArticleJournal of proteome research2012
Gram-negative and Gram-positive bacterial infections give rise to a different metabolic response in a mouse model.
Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 74 citations in OpenAlex.
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- Metabolomic profiling of host-pathogen interactions: differential effects of Gram-positive and Gram-negative bacterial secretomes on THP-1 macrophage metabolism.RSC advances · 2025Article
- Survival of the Littlest: Navigating Sepsis Diagnosis beyond Inflammation in Preterm Neonates.Journal of proteome research · 2025Article
- Leveraging innovative diagnostics as a tool to contain superbugs.Antonie van Leeuwenhoek · 2025Review
- Using the Traditional Ex Vivo Whole Blood Model to Discriminate Bacteria by Their Inducible Host Responses.Biomedicines · 2024Article
- Fluorescent polymer as a biosensing tool for the diagnosis of microbial pathogens.Scientific reports · 2024Article
- Antibiotic-mediated dysbiosis leads to activation of inflammatory pathways.Frontiers in immunology · 2024Article
- Volatile organic compounds in headspace characterize isolated bacterial strains independent of growth medium or antibiotic sensitivity.PloS one · 2024Article
- Understanding bacterial pathogenicity: a closer look at the journey of harmful microbes.Frontiers in microbiology · 2024Review
- Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters.BMC infectious diseases · 2023Article
- Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients.PloS one · 2023Article
- Differential Gene Sets Profiling in Gram-Negative and Gram-Positive Sepsis.Frontiers in cellular and infection microbiology · 2022Article
- Identification of Potential Urinary Metabolite Biomarkers ofBiomarker insights · 2022Article
- Modulation of Insulin Resistance, Dyslipidemia and Serum Metabolome in iNOS Knockout Mice following Treatment with Nitrite, Metformin, Pioglitazone, and a Combination of Ampicillin and Neomycin.International journal of molecular sciences · 2021Article
- A Metabolomics approach for the diagnosis Of SecondAry InfeCtions in COVID-19 (MOSAIC): a study protocol.BMC infectious diseases · 2021Article
- Genipin in an Ex Vivo Corneal Model of Bacterial and Fungal Keratitis.Translational vision science & technology · 2021Article
- Vancomycin-Induced Modulation of Gram-Positive Gut Bacteria and Metabolites Remediates Insulin Resistance in iNOS Knockout Mice.Frontiers in cellular and infection microbiology · 2021Article
- New markers for sepsis caused by Pseudomonas aeruginosa during burn infection.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- Inhibition of Host Arginase Activity Against Staphylococcal Bloodstream Infection by Different Metabolites.Frontiers in immunology · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Metabolomics has become an important tool to study host-pathogen interactions and to discover potential novel therapeutic targets. In an attempt to develop a better understanding of the process of pathogenesis and the associated host response we have used a quantitative (1)H NMR approach to study the metabolic response to different bacterial infections. Here we describe that metabolic changes found in serum of mice that were infected with Staphylococcus aureus, Streptococcus pneumoniae, Escherichia coli and Pseudomonas aeruginosa can distinguish between infections caused by Gram-positive and Gram-negative bacterial strains. By combining the results of the mouse study with those of bacterial footprinting culture experiments, bacterially secreted metabolites could be identified as potential bacterium-specific biomarkers for P. aeruginosa infections but not for the other strains. Multivariate statistical analysis revealed correlations between metabolic, cytokine and physiological responses. In TLR4 and TLR2 knockout mice, host-response pathway correlated metabolites could be identified and allowed us for the first time to distinguish between bacterial- and host-induced metabolic changes. Since Gram-positive and Gram-negative bacteria activate different receptor pathways in the host, our results suggest that it may become possible in the future to use a metabolomics approach to improve on current clinical microbiology diagnostic methods.
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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.