ArticleJournal of mathematical biology2011
A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone.
Article in Journal of mathematical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Volatile Organic Compounds in Human Exhaled Breath to Diagnose Gastrointestinal Cancer: A Meta-Analysis.Frontiers in oncology · 2021Pooled it
- Propofol Breath Monitoring as a Potential Tool to Improve the Prediction of Intraoperative Plasma Concentrations.Clinical pharmacokinetics · 2016Trial
- Review
- Dynamic Modeling of Carbon Dioxide Transport through the Skin Using a Capnometry Wristband.Sensors (Basel, Switzerland) · 2023Article
- Smelling the Disease: Diagnostic Potential of Breath Analysis.Molecular diagnosis & therapy · 2023Review
- Research progress of electronic nose technology in exhaled breath disease analysis.Microsystems & nanoengineering · 2023Review
- Modelling of Breath and Various Blood Volatilomic Profiles-Implications for Breath Volatile Analysis.Molecules (Basel, Switzerland) · 2022Article
- Assessing the feasibility and acceptability of online measurements of exhaled volatile organic compounds (VOCs) in children with preschool wheeze: a pilot study.BMJ paediatrics open · 2021Article
- Highly Sensitive Room-Temperature Sensor Based on Nanostructured K₂W₇OSensors (Basel, Switzerland) · 2018Article
- Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide.Frontiers in physiology · 2018Article
- Mining the Volatilomes of Plant-Associated Microbiota for New Biocontrol Solutions.Frontiers in microbiology · 2017Review
- FEV manoeuvre induced changes in breath VOC compositions: an unconventional view on lung function tests.Scientific reports · 2016Article
- Modeling of breath methane concentration profiles during exercise on an ergometer.Journal of breath research · 2016Article
- Prediction of blood:air and fat:air partition coefficients of volatile organic compounds for the interpretation of data in breath gas analysis.Journal of breath research · 2016Article
- Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus.Journal of medical and biological engineering · 2016Review
- Modeling-based determination of physiological parameters of systemic VOCs by breath gas analysis: a pilot study.Journal of breath research · 2015Article
- Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath.Metabolites · 2015Review
- Product ion distributions for the reactions of NO(+) with some physiologically significant volatile organosulfur and organoselenium compounds obtained using a selective reagent ionization time-of-flight mass spectrometer.Rapid communications in mass spectrometry : RCM · 2014Article
- Breath analysis in disease diagnosis: methodological considerations and applications.Metabolites · 2014Article
- Product ion distributions for the reactions of NOInternational journal of mass spectrometry · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recommended standardized procedures for determining exhaled lower respiratory nitric oxide and nasal nitric oxide (NO) have been developed by task forces of the European Respiratory Society and the American Thoracic Society. These recommendations have paved the way for the measurement of nitric oxide to become a diagnostic tool for specific clinical applications. It would be desirable to develop similar guidelines for the sampling of other trace gases in exhaled breath, especially volatile organic compounds (VOCs) which may reflect ongoing metabolism. The concentrations of water-soluble, blood-borne substances in exhaled breath are influenced by: (i) breathing patterns affecting gas exchange in the conducting airways, (ii) the concentrations in the tracheo-bronchial lining fluid, (iii) the alveolar and systemic concentrations of the compound. The classical Farhi equation takes only the alveolar concentrations into account. Real-time measurements of acetone in end-tidal breath under an ergometer challenge show characteristics which cannot be explained within the Farhi setting. Here we develop a compartment model that reliably captures these profiles and is capable of relating breath to the systemic concentrations of acetone. By comparison with experimental data it is inferred that the major part of variability in breath acetone concentrations (e.g., in response to moderate exercise or altered breathing patterns) can be attributed to airway gas exchange, with minimal changes of the underlying blood and tissue concentrations. Moreover, the model illuminates the discrepancies between observed and theoretically predicted blood-breath ratios of acetone during resting conditions, i.e., in steady state. Particularly, the current formulation includes the classical Farhi and the Scheid series inhomogeneity model as special limiting cases and thus is expected to have general relevance for a wider range of blood-borne inert gases. The chief intention of the present modeling study is to provide mechanistic relationships for further investigating the exhalation kinetics of acetone and other water-soluble species. This quantitative approach is a first step towards new guidelines for breath gas analyses of volatile organic compounds, similar to those for nitric oxide.
Indexed as
Identifiers
21234569What OpenQuestion holds
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.