Feasibility and diagnostic accuracy of an electronic nose in children with asthma and cystic fibrosis

Bannier, Michiel; Kant, Kim van de; Dompeling, Edward

doi:10.1183/13993003.congress-2018.oa338

Cited by 5 publications

(4 citation statements)

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“…However, the analysis of panels of breath molecules is still in its infancy and limited to discovery phase research. 166,[257][258][259][260][261][262][263] Beside the measurement of FeNO some work has been done in healthy children using sSIFT-MS. Several metabolites could be measured in a study of 200 healhy children. For some levels were lower than previously found in adults including aceton, ammonia, methanol and isoprene.…”

Section: Promise For Infants and Childrenmentioning

confidence: 99%

On-Line Analysis of Exhaled Breath

et al. 2019

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On-line analysis of exhaled breath offers insight into a person's metabolism without the need for sample preparation or sample collection. Due to its non-invasive nature and the possibility to sample continuously, the analysis of breath has great clinical potential. The unique features of this technology make it an attractive candidate for applications in medicine, beyond the task of diagnosis. We review the current methodologies for on-line breath analysis, discuss current and future applications, and critically evaluate challenges and pitfalls such as the need for standardization. Special emphasis is given to use of the technology in diagnosing respiratory diseases, potential niche applications, and the promise of breath analysis for personalized medicine. The analytical methodologies used range from very small and low-cost chemical sensors, which are ideal for continuous monitoring of disease status, to optical spectroscopy and state-of-the-art, high-resolution mass spectrometry. The latter can be utilized for untargeted analysis of exhaled breath, with the capability to identify hitherto unknown molecules. The interpretation of the resulting big data sets is complex and often constrained due to a limited number of participants. Even larger data sets will be needed for assessing reproducibility and for validation of biomarker candidates. In addition, molecular structures and quantification of compounds are generally not easily available from on-line measurements and require complementary measurements, for example, a separation method coupled to mass spectrometry. Furthermore, lack of standardization still hampers using the technique for screening larger cohorts of patients. The present review summarizes the present status and continuous improvements of the main on-line breath analysis methods, and evaluates obstacles for its wider application.

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Section: Promise For Infants and Childrenmentioning

confidence: 99%

On-Line Analysis of Exhaled Breath

et al. 2019

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“…However, our breathing protocol may have been too strict since other studies using the same e-nose did not report such high failure rates, [38][39][40][41][42][43][44][45][46][47][70][71][72] neither in children with severe asthma or cystic fibrosis (<2%), 72 nor in adult patients with acute exacerbation of chronic obstructive pulmonary disease (0%). 71 In this study, two-thirds of the failed tests were suboptimal tests; ie interrupted tests by talking, laughing, coughing or inappropriate enclosement of the mouthpiece.…”

Section: Discussionmentioning

confidence: 94%

Volatile organic compounds in breath can serve as a non‐invasive diagnostic biomarker for the detection of advanced adenomas and colorectal cancer

Keulen

Jansen

Schrauwen

et al. 2019

Aliment Pharmacol Ther

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Background: Colorectal cancer (CRC) is the third most common cancer diagnosis in the Western world.Aim: To evaluate exhaled volatile organic compounds (VOCs) as a non-invasive biomarker for the detection of CRC and precursor lesions using an electronic nose. Methods:In this multicentre study adult colonoscopy patients, without inflammatory bowel disease or (previous) malignancy, were invited for breath analysis. Two-thirds of the breath tests were randomly assigned to develop training models which were used to predict the diagnosis of the remaining patients (external validation). In the end, all data were used to develop final-disease models to further improve the discriminatory power of the algorithms. Results: Five hundred and eleven breath samples were collected. Sixty-four patients were excluded due to an inadequate breath test (n = 51), incomplete colonoscopy (n = 8) or colitis (n = 5). Classification was based on the most advanced lesion found; CRC (n = 70), advanced adenomas (AAs) (n = 117), non-advanced adenoma (n = 117), hyperplastic polyp (n = 15), normal colonoscopy (n = 125). Training models for CRC and AAs had an area under the curve (AUC) of 0.76 and 0.71 and blind validation resulted in an AUC of 0.74 and 0.61 respectively. Final models for CRC and AAs yielded an AUC of 0.84 (sensitivity 95% and specificity 64%) and 0.73 (sensitivity and specificity 79% and 59%) respectively. Conclusions: This study suggests that exhaled VOCs could potentially serve as a noninvasive biomarker for the detection of CRC and AAs. Future studies including more patients could further improve the discriminatory potential of VOC analysis for the detection of (pre-)malignant colorectal lesions. (https ://clini caltr ials.gov Identifier NCT03488537)This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…Nevertheless, the data obtained are consistent with previous studies (Adams et al, 2009; Daimon et al, 2003; Jones & Summers, 2000; Mihalik et al, 2010; Newman & Verdin, 2014; Pena et al, 2014; Sharma et al, 2013; Shokry et al, 2017; Willems et al, 2014). Similar studies have used this technique for screening diseases such as COPD (Dragonieri et al, 2009; Karthikkumar, Logamurthy, Jothimani, & Lingeswaran, 2017; Manuel et al, 2012; Velásquez et al, 2009), asthma (Bannier, van de Kant, Jöbsis, & Dompeling, 2019; Dragonieri et al, 2007), and renal disease (Di Natale et al, 1999; Lin et al, 2001).…”

Section: Discussionmentioning

confidence: 97%

Identification of metabolic markers in patients with type 2 Diabetes by Ultrafast gas chromatography coupled to electronic nose. A pilot study

Méndez-Rodríguez

Figueroa-Vega

Ilizaliturri-Hernández

et al. 2020

Biomedical Chromatography

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Metabolomics is a potential tool for the discovery of new biomarkers in the early diagnosis of diseases. An ultra‐fast gas chromatography system equipped to an electronic nose detector (FGC eNose) was used to identify the metabolomic profile of Volatile Organic Compounds (VOCs) in type 2 diabetes (T2D) urine from Mexican population. A cross‐sectional, comparative, and clinical study with translational approach was performed. We recruited twenty T2D patients and twenty‐one healthy subjects. Urine samples were taken and analyzed by FGC eNose. Eighty‐eight compounds were identified through Kovats's indexes. A natural variation of 30% between the metabolites, expressed by study groups, was observed in Principal Component 1 and 2 with a significant difference (p < 0.001). The model, performed through a Canonical Analysis of Principal coordinated (CAP), allowed a correct classification of 84.6% between healthy and T2D patients, with a 15.4% error. The metabolites 2‐propenal, 2‐propanol, butane‐ 2,3‐dione and 2‐methylpropanal, were increased in patients with T2D, and they were strongly correlated with discrimination between clinically healthy people and T2D patients. This study identified metabolites in urine through FGC eNose that can be used as biomarkers in the identification of T2D patients. However, more studies are needed for its implementation in clinical practice.

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Feasibility and diagnostic accuracy of an electronic nose in children with asthma and cystic fibrosis

Cited by 5 publications

References 0 publications

On-Line Analysis of Exhaled Breath

On-Line Analysis of Exhaled Breath

Volatile organic compounds in breath can serve as a non‐invasive diagnostic biomarker for the detection of advanced adenomas and colorectal cancer

Identification of metabolic markers in patients with type 2 Diabetes by Ultrafast gas chromatography coupled to electronic nose. A pilot study

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