ArticleJournal of breath research2018
Volatile fingerprinting of human respiratory viruses from cell culture.
Article in Journal of breath research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 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
- Trained Scent Dog Detection and GC-MS Analysis of Volatile Organic Compounds from Murine Coronavirus-Infected Cell Cultures.Animals : an open access journal from MDPI · 2026Article
- Volatile Organic Compounds Induced upon Viral Infection in Cell Culture: Uniform Background Study with Use of Viruses from Different Families.Molecules (Basel, Switzerland) · 2025Article
- Volatile organic compounds (VOCs) to monitor cell expansion and microbial contamination of mesenchymal stromal cells (MSCs): a preliminary study.Journal of breath research · 2025Article
- Multiomics as instrument to promote 3P medical approaches for the overall management of respiratory syncytial viral infections.The EPMA journal · 2025Review
- Zika virus modulates human fibroblasts to enhance transmission success in a controlled lab-setting.Communications biology · 2025Article
- Progress and challenges of developing volatile metabolites from exhaled breath as a biomarker platform.Metabolomics : Official journal of the Metabolomic Society · 2024Review
- Change in rate of healthcare encounters for respiratory infection from air pollution exposure after improved vehicle emissions standards in New York State.Air quality, atmosphere, & health · 2024Article
- Volatilomes of human infection.Analytical and bioanalytical chemistry · 2024Review
- Rapid point-of-care detection of SARS-CoV-2 infection in exhaled breath using ion mobility spectrometry: a pilot study.European journal of medical research · 2023Article
- iOBPdb A Database for Experimentally Determined Functional Characterization of Insect Odorant Binding Proteins.Scientific data · 2023Article
- Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study.Journal of travel medicine · 2022Observational
- Breath Metabolites to Diagnose Infection.Clinical chemistry · 2021Review
- A method for the identification of COVID-19 biomarkers in human breath using Proton Transfer Reaction Time-of-Flight Mass Spectrometry.EClinicalMedicine · 2021Article
- Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics.Pattern recognition letters · 2021Article
- A proof of concept study for the differentiation of SARS-CoV-2, hCoV-NL63, and IAV-H1N1 in vitro cultures using ion mobility spectrometry.Scientific reports · 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
- Peak detection and random forests classification software for gas chromatography/differential mobility spectrometry (GC/DMS) data.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2020Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Volatile metabolites are currently under investigation as potential biomarkers for the detection and identification of pathogenic microorganisms, including bacteria, fungi, and viruses. Unlike bacteria and fungi, which produce distinct volatile metabolic signatures associated with innate differences in both primary and secondary metabolic processes, viruses are wholly reliant on the metabolic machinery of infected cells for replication and propagation. In the present study, the ability of volatile metabolites to discriminate between respiratory cells infected and uninfected with virus, in vitro, was investigated. Two important respiratory viruses, namely respiratory syncytial virus (RSV) and influenza A virus (IAV), were evaluated. Data were analyzed using three different machine learning algorithms (random forest (RF), linear support vector machines (linear SVM), and partial least squares-discriminant analysis (PLS-DA)), with volatile metabolites identified from a training set used to predict sample classifications in a validation set. The discriminatory performances of RF, linear SVM, and PLS-DA were comparable for the comparison of IAV-infected versus uninfected cells, with area under the receiver operating characteristic curves (AUROCs) between 0.78 and 0.82, while RF and linear SVM demonstrated superior performance in the classification of RSV-infected versus uninfected cells (AUROCs between 0.80 and 0.84) relative to PLS-DA (0.61). A subset of discriminatory features were assigned putative compound identifications, with an overabundance of hydrocarbons observed in both RSV- and IAV-infected cell cultures relative to uninfected controls. This finding is consistent with increased oxidative stress, a process associated with viral infection of respiratory cells.
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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.