ArticlePloS one2013
Metabolic profiling for detection of Staphylococcus aureus infection and antibiotic resistance.
Article in PloS one, 2013. 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.
- Metabolic insights from mass spectrometry imaging of biofilms: A perspective from model microorganisms.Methods (San Diego, Calif.) · 2024Review
- Cytoplasmic amino acid profiles of clinical and ATCC 29213 strains of Staphylococcus aureus harvested at different growth phases.Biomolecules & biomedicine · 2023Article
- Putrescine Detected in Strains ofPathogens (Basel, Switzerland) · 2023Article
- Comparison of freeze-thaw and sonication cycle-based methods for extracting AMR-associated metabolites fromFrontiers in microbiology · 2023Article
- Human Serum Alters the Metabolism and Antibiotic Susceptibility ofJournal of proteome research · 2022Article
- Photoactivatable metabolic warheads enable precise and safe ablation of target cells in vivo.Nature communications · 2021Article
- Exogenous Citrulline and Glutamine Contribute to Reverse the Resistance ofFrontiers in microbiology · 2021Article
- Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors.Computational and structural biotechnology journal · 2020Article
- Amino acids and proteomic acclimation of Staphylococcus aureus when incubated in a defined minimal medium supplemented with 5% sodium chloride.MicrobiologyOpen · 2019Article
- Molecular signatures of liver dysfunction are distinct in fungal and bacterial infections in mice.Theranostics · 2018Article
- Impact of meropenem on Klebsiella pneumoniae metabolism.PloS one · 2018Article
- Metabolomics as a Driver in Advancing Precision Medicine in Sepsis.Pharmacotherapy · 2017Review
- Generalizable Biomarkers in Critical Care: Toward Precision Medicine.Critical care medicine · 2017Article
- Minocycline enhances the mesenchymal stromal/stem cell pro-healing phenotype in triple antimicrobial-loaded hydrogels.Acta biomaterialia · 2017Article
- Article
- Diagnostics for invasive Salmonella infections: Current challenges and future directions.Vaccine · 2015Review
- The newest "omics"--metagenomics and metabolomics--enter the battle against the neglected tropical diseases.PLoS neglected tropical diseases · 2015Article
- Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to slow diagnostics, physicians must optimize antibiotic therapies based on clinical evaluation of patients without specific information on causative bacteria. We have investigated metabolomic analysis of blood for the detection of acute bacterial infection and early differentiation between ineffective and effective antibiotic treatment. A vital and timely therapeutic difficulty was thereby addressed: the ability to rapidly detect treatment failures because of antibiotic-resistant bacteria. Methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-sensitive S. aureus (MSSA) were used in vitro and for infecting mice, while natural MSSA infection was studied in humans. Samples of bacterial growth media, the blood of infected mice and of humans were analyzed with combined Gas Chromatography/Mass Spectrometry. Multivariate data analysis was used to reveal the metabolic profiles of infection and the responses to different antibiotic treatments. In vitro experiments resulted in the detection of 256 putative metabolites and mice infection experiments resulted in the detection of 474 putative metabolites. Importantly, ineffective and effective antibiotic treatments were differentiated already two hours after treatment start in both experimental systems. That is, the ineffective treatment of MRSA using cloxacillin and untreated controls produced one metabolic profile while all effective treatment combinations using cloxacillin or vancomycin for MSSA or MRSA produced another profile. For further evaluation of the concept, blood samples of humans admitted to intensive care with severe sepsis were analyzed. One hundred thirty-three putative metabolites differentiated severe MSSA sepsis (n = 6) from severe Escherichia coli sepsis (n = 10) and identified treatment responses over time. Combined analysis of human, in vitro, and mice samples identified 25 metabolites indicative of effective treatment of S. aureus sepsis. Taken together, this study provides a proof of concept of the utility of analyzing metabolite patterns in blood for early differentiation between ineffective and effective antibiotic treatment in acute S. aureus infections.
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