SynthesisPLoS pathogens2013
Volatile metabolites of pathogens: a systematic review.
Synthesis in PLoS pathogens, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02981550 (Infection Detection by Breath Analysis), which is not on this map. Cited by 163 papers, 3 of them syntheses that pooled it.
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.
Infection Detection by Breath Analysis
Who cites it
163 citing papers in PubMed, 3 syntheses or guidelines pooled it, 407 citations in OpenAlex.
- Microbial volatile organic compounds and olfactory receptors in wound malodor.Frontiers in cellular and infection microbiology · 2026Pooled it
- Exhaled Volatile Organic Compounds Detection in Pneumonia Screening: A Comprehensive Meta-analysis.Lung · 2024Pooled it
- Machine learning for the meta-analyses of microbial pathogens' volatile signatures.Scientific reports · 2018Pooled it
- Data-driven exploration of electronic nose technology to differentiate bacteria in blood cultures under biofilm-promoting conditions.Scientific reports · 2026Article
- Leucine degradation metabolite ratio as a measure of meropenem susceptibility in carbapenem-resistantMicrobiology spectrum · 2026Article
- Review
- Harnessing breath biomarkers for pneumonia diagnosis and prognosis.Expert review of respiratory medicine · 2026Review
- Untargeted GC-IMS Metabolomics of Wound Headspace for Bacterial Infection Biomarker Discovery.Metabolites · 2026Article
- Bacterial species differentiation via real-time detection of microbial volatile organic compounds using a wavelength multiplexed photoionization detector and AI image-based analysis.Scientific reports · 2026Article
- Article
- AI-Powered Microscopic Diagnostic Techniques forJournal of dentistry (Shiraz, Iran) · 2026Article
- Breath by Breath: Navigating the Landscape of Exhaled Breath in Clinical Research and Prospects for the Future.Journal of analytical methods in chemistry · 2026Review
- Exploratory analysis of exhaled volatile organic compounds for binary discrimination between lung cancer, pneumonia, and healthy controls using machine learning.Frontiers in medicine · 2026Article
- Urine volatile organic compounds profiling via GC-IMS combined with machine learning: a powerful diagnostic and pathogen differentiation tool for urinary tract infections.Frontiers in cellular and infection microbiology · 2026Article
- Integrated Exhaled VOC and Clinical Biomarker Profiling for Predicting Bronchodilator Responsiveness in Asthma and COPD Patients.Diagnostics (Basel, Switzerland) · 2025Article
- An engineered culture vessel and flow system to improve the in vitro analysis of volatile organic compounds.Communications engineering · 2025Article
- Systematic comparison of methods for offline breath sampling.Analytical and bioanalytical chemistry · 2025Article
- Electrochemical Biosensing for Antibiotic-Resistant Bacteria: Advances, Challenges, and Future Directions.Micromachines · 2025Review
- Profiling of Volatile Metabolites ofInternational journal of molecular sciences · 2025Article
- Can we predict the future of respiratory failure prediction?Critical care (London, England) · 2025Review
103 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ideally, invading bacteria are detected as early as possible in critically ill patients: the strain of morbific pathogens is identified rapidly, and antimicrobial sensitivity is known well before the start of new antimicrobial therapy. Bacteria have a distinct metabolism, part of which results in the production of bacteria-specific volatile organic compounds (VOCs), which might be used for diagnostic purposes. Volatile metabolites can be investigated directly in exhaled air, allowing for noninvasive monitoring. The aim of this review is to provide an overview of VOCs produced by the six most abundant and pathogenic bacteria in sepsis, including Staphylococcus aureus, Streptococcus pneumoniae, Enterococcus faecalis, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Escherichia coli. Such VOCs could be used as biological markers in the diagnostic approach of critically ill patients. A systematic review of existing literature revealed 31 articles. All six bacteria of interest produce isopentanol, formaldehyde, methyl mercaptan, and trimethylamine. Since humans do not produce these VOCs, they could serve as biological markers for presence of these pathogens. The following volatile biomarkers were found for identification of specific strains: isovaleric acid and 2-methyl-butanal for Staphylococcus aureus; 1-undecene, 2,4-dimethyl-1-heptane, 2-butanone, 4-methyl-quinazoline, hydrogen cyanide, and methyl thiocyanide for Pseudomonas aeruginosa; and methanol, pentanol, ethyl acetate, and indole for Escherichia coli. Notably, several factors that may effect VOC production were not controlled for, including used culture media, bacterial growth phase, and genomic variation within bacterial strains. In conclusion, VOCs produced by bacteria may serve as biological markers for their presence. Goal-targeted studies should be performed to identify potential sets of volatile biological markers and evaluate the diagnostic accuracy of these markers in critically ill patients.
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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.