Estudio de compuestos orgánicos volátiles en aire exhalado en una población clínicamente sana: efecto del tabaquismo

Jareño-Esteban, José Javier; Muñoz-Lucas, M. Ángeles; Carrillo-Aranda, Belén; Maldonado-Sanz, José Ángel; Granda-Orive, Ignacio de; Ros, Antonio Aguilar; Civera, Concepción; Gutiérrez-Ortega, Carlos; Callol-Sánchez, Luis Miguel

doi:10.1016/j.arbres.2013.04.004

Cited by 25 publications

(9 citation statements)

References 21 publications

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“…Previous studies have shown that active smoking influences the VOC profile in exhaled breath. 8 , 36 , 37 However, when we compared healthy smokers with healthy nonsmokers in our study, 15 peaks that were found to distinguish the two groups were not similar to the peaks that distinguished COPD patients from healthy subjects (smoking and nonsmoking combined). Consequently, it is probable that smoking did not affect our results.…”

Section: Discussioncontrasting

confidence: 60%

Exhaled volatile organic compounds discriminate patients with chronic obstructive pulmonary disease from healthy subjects

Besa¹,

Teschler²,

Kurth³

et al. 2015

COPD

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Chronic obstructive pulmonary disease (COPD) is a chronic airway inflammatory disease characterized by incompletely reversible airway obstruction. This clinically heterogeneous group of patients is characterized by different phenotypes. Spirometry and clinical parameters, such as severity of dyspnea and exacerbation frequency, are used to diagnose and assess the severity of COPD. The purpose of this study was to investigate whether volatile organic compounds (VOCs) could be detected in the exhaled breath of patients with COPD and whether these VOCs could distinguish COPD patients from healthy subjects. Moreover, we aimed to investigate whether VOCs could be used as biomarkers for classifying patients into different subgroups of the disease. Ion mobility spectrometry was used to detect VOCs in the exhaled breath of COPD patients. One hundred and thirty-seven peaks were found to have a statistically significant difference between the COPD group and the combined healthy smokers and nonsmoker group. Six of these VOCs were found to correctly discriminate COPD patients from healthy controls with an accuracy of 70%. Only 15 peaks were found to be statistically different between healthy smokers and healthy nonsmokers. Furthermore, by determining the cutoff levels for each VOC peak, it was possible to classify the COPD patients into breathprint subgroups. Forced expiratory volume in 1 second, body mass index, and C-reactive protein seem to play a role in the discrepancies observed in the different breathprint subgroups.

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Section: Discussioncontrasting

confidence: 60%

Exhaled volatile organic compounds discriminate patients with chronic obstructive pulmonary disease from healthy subjects

Besa¹,

Teschler²,

Kurth³

et al. 2015

COPD

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“…The effect of smoking should also be standardized, as it has recently been demonstrated that although the majority of VOCs are found in very low concentrations when comparing the effect of smoking in healthy individuals, levels of nonanal are high in both current smokers and exsmokers [82]. This compound is a byproduct of the breakdown of the cell membrane, and its identification in this context indicates alveolar cell damage in individuals exposed to tobacco smoke.…”

Section: Studies Conducted On Exhaled Airmentioning

confidence: 99%

Usefulness of Noninvasive Methods for the Study of Bronchial Inflammation in the Control of Patients with Asthma

Muñoz

Bustamante²,

López-Campos³

et al. 2015

Int Arch Allergy Immunol

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Bronchial asthma is one of the most prevalent respiratory conditions. Although it is defined as an inflammatory disease, the current guidelines for both diagnosis and follow-up of patients are based only on clinical and lung function parameters. Current research is focused on finding markers that can accurately predict future risk, and on assessing the ability of these markers to guide medical treatment and thus improve prognosis. The use of noninvasive methods to study airway inflammation is gaining increasing support. The study of eosinophils in induced sputum has proved useful for the diagnosis of asthma; however, its clinical implementation is complex. Some studies have shown that the measurement of exhaled nitric oxide (FeNO) may also be useful to establish disease phenotypes and improve control. Others have found that the measurement of pH and certain markers of oxidative stress, cytokines and prostanoids in exhaled breath condensate (EBC) may also be useful as well as the measurement of the temperature of exhaled breath and the analysis of volatile organic compounds (VOCs). In conclusion, since asthma is an inflammatory disease, it seems appropriate to try to control it through the study of airway inflammation using noninvasive methods. In this regard, the analysis of induced sputum cells has proved very useful, although the clinical implementation of this technique seems difficult. Other techniques such as temperature measurement, the analysis of FeNO, the analysis of the VOCs in exhaled breath, or the study of certain biomarkers in EBC require further study in order to determine their clinical applicability.

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“…Jareno-Esteban et al . [35] propose that certain aldehydes are potentially useful indicators of smoking related oxidative stress which are not due to cigarette smoke itself. Fens et al .…”

Section: Resultsmentioning

confidence: 99%

Short-Term Intra-Subject Variation in Exhaled Volatile Organic Compounds (VOCs) in COPD Patients and Healthy Controls and Its Effect on Disease Classification

et al. 2014

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Exhaled volatile organic compounds (VOCs) are of interest for their potential to diagnose disease non-invasively. However, most breath VOC studies have analyzed single breath samples from an individual and assumed them to be wholly consistent representative of the person. This provided the motivation for an investigation of the variability of breath profiles when three breath samples are taken over a short time period (two minute intervals between samples) for 118 stable patients with Chronic Obstructive Pulmonary Disease (COPD) and 63 healthy controls and analyzed by gas chromatography and mass spectroscopy (GC/MS). The extent of the variation in VOC levels differed between COPD and healthy subjects and the patterns of variation differed for isoprene versus the bulk of other VOCs. In addition, machine learning approaches were applied to the breath data to establish whether these samples differed in their ability to discriminate COPD from healthy states and whether aggregation of multiple samples, into single data sets, could offer improved discrimination. The three breath samples gave similar classification accuracy to one another when evaluated separately (66.5% to 68.3% subjects classified correctly depending on the breath repetition used). Combining multiple breath samples into single data sets gave better discrimination (73.4% subjects classified correctly). Although accuracy is not sufficient for COPD diagnosis in a clinical setting, enhanced sampling and analysis may improve accuracy further. Variability in samples, and short-term effects of practice or exertion, need to be considered in any breath testing program to improve reliability and optimize discrimination.

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Estudio de compuestos orgánicos volátiles en aire exhalado en una población clínicamente sana: efecto del tabaquismo

Cited by 25 publications

References 21 publications

Exhaled volatile organic compounds discriminate patients with chronic obstructive pulmonary disease from healthy subjects

Exhaled volatile organic compounds discriminate patients with chronic obstructive pulmonary disease from healthy subjects

Usefulness of Noninvasive Methods for the Study of Bronchial Inflammation in the Control of Patients with Asthma

Short-Term Intra-Subject Variation in Exhaled Volatile Organic Compounds (VOCs) in COPD Patients and Healthy Controls and Its Effect on Disease Classification

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