ArticleScientific reports2019
Volatile scents of influenza A and S. pyogenes (co-)infected cells.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- A comprehensive meta-analysis and systematic review of breath analysis in detection of COVID-19 through Volatile organic compounds.Diagnostic microbiology and infectious disease · 2024Pooled it
- Exploratory analysis of exhaled volatile organic compounds for binary discrimination between lung cancer, pneumonia, and healthy controls using machine learning.Frontiers in medicine · 2026Article
- Bioreactor contamination monitoring using off-gassed volatile organic compounds (VOCs).Analytical and bioanalytical chemistry · 2025Article
- High and low pathogenicity avian influenza virus discrimination and prediction based on volatile organic compounds signature by SIFT-MS: a proof-of-concept study.Scientific reports · 2024Article
- Progress and challenges of developing volatile metabolites from exhaled breath as a biomarker platform.Metabolomics : Official journal of the Metabolomic Society · 2024Review
- Effects of Contagious Respiratory Pathogens on Breath Biomarkers.Antioxidants (Basel, Switzerland) · 2024Article
- Tuning phosphorene and MoSRSC advances · 2024Article
- Volatile profiling distinguishesmSphere · 2023Article
- iOBPdb A Database for Experimentally Determined Functional Characterization of Insect Odorant Binding Proteins.Scientific data · 2023Article
- Microbial Volatiles as Diagnostic Biomarkers of Bacterial Lung Infection in Mechanically Ventilated Patients.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Discriminatory Ability of Gas Chromatography-Ion Mobility Spectrometry to Identify Patients Hospitalized With COVID-19 and Predict Prognosis.Open forum infectious diseases · 2022Article
- Profiling of exhaled volatile organics in the screening scenario of a COVID-19 test center.iScience · 2022Article
- Breath Metabolites to Diagnose Infection.Clinical chemistry · 2021Review
- Metabolomics Diagnosis of COVID-19 from Exhaled Breath Condensate.Metabolites · 2021Article
- A method for the identification of COVID-19 biomarkers in human breath using Proton Transfer Reaction Time-of-Flight Mass Spectrometry.EClinicalMedicine · 2021Article
- Breath-Based Diagnosis of Infectious Diseases: A Review of the Current Landscape.Clinics in laboratory medicine · 2021Review
- Reproducible breath metabolite changes in children with SARS-CoV-2 infection.medRxiv : the preprint server for health sciences · 2021Article
- Induced volatolomics of pathologies.Nature reviews. Chemistry · 2021Review
- Discrimination of SARS-CoV-2 Infections From Other Viral Respiratory Infections by Scent Detection Dogs.Frontiers in medicine · 2021Article
- Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study.EClinicalMedicine · 2020Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza A is a serious pathogen itself, but often leads to dangerous co-infections in combination with bacterial species such as Streptococcus pyogenes. In comparison to classical biochemical methods, analysis of volatile organic compounds (VOCs) in headspace above cultures can enable destruction free monitoring of metabolic processes in vitro. Thus, volatile biomarkers emitted from biological cell cultures and pathogens could serve for monitoring of infection processes in vitro. In this study we analysed VOCs from headspace above (co)-infected human cells by using a customized sampling system. For investigating the influenza A mono-infection and the viral-bacterial co-infection in vitro, we analysed VOCs from Detroit cells inoculated with influenza A virus and S. pyogenes by means of needle-trap micro-extraction (NTME) and gas chromatography mass spectrometry (GC-MS). Besides the determination of microbiological data such as cell count, cytokines, virus load and bacterial load, emissions from cell medium, uninfected cells and bacteria mono-infected cells were analysed. Significant differences in emitted VOC concentrations were identified between non-infected and infected cells. After inoculation with S. pyogenes, bacterial infection was mirrored by increased emissions of acetaldehyde and propanal. N-propyl acetate was linked to viral infection. Non-destructive monitoring of infections by means of VOC analysis may open a new window for infection research and clinical applications. VOC analysis could enable early recognition of pathogen presence and in-depth understanding of their etiopathology.
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