Maribel Rodríguez-Aguilar1, Lorena Díaz de León-Martínez1, Patricia Gorocica-Rosete2, Rogelio Pérez Padilla3, Ireri Thirión-Romero3, Omar Ornelas-Rebolledo4, Rogelio Flores-Ramírez5. 1. Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, Av. Venustiano Carranza 2405, CP 78210, San Luis Potosí, S.L.P, Mexico. 2. Biochemestry Research Department of National Institute Respiratory Diseases, Ismael Cosío Villegas, Mexico City, Mexico. 3. Smoking and COPD Research Department of National Institute Respiratory Diseases, Ismael Cosío Villegas, Mexico City, Mexico. 4. Labinnova Center of Investigation in Breath for Early Detection Diseases, Guadalajara, Mexico. 5. Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luis Potosí, Avenida Sierra Leona No. 550, CP 78210, Colonia Lomas Segunda Sección, San Luis Potosí, SLP, Mexico. Electronic address: rfloresra@conacyt.mx.
Abstract
PURPOSE: The analysis of breath-print, has been proposed as an attractive alternative to investigate possible biomarkers of Chronic Obstructive Pulmonary Disease (COPD). The aim of the present study was to discriminate between healthy subjects, patients with COPD associated with smoking (COPD-S) and patients with COPD associated with household air pollution (COPD-HAP). METHODS: A cross-sectional study of 294 participants was conducted, 88 with smoking associated COPD, 28 associated with HAP and 178 healthy subjects. Breath-print analysis was performed by using the Cyranose 320 electronic nose. Group data were evaluated by Principal Component Analysis (PCA), Canonical Discriminant Analysis (CDA) and Support Vector Machine (SVM) and the test's diagnostic power by means of ROC (Receiver Operating Characteristic) curves. RESULTS: The results indicated that the breath-print of patients with COPD is different from the one of healthy subjects explaining a variability of 93.8% with a correct prediction of 97.8% and correct classification of 100%,also positive and negative predictive value of 96.5 and 100% respectively. Furthermore, the breath-print of exhaled breath from patients with COPD-S and COPD-HAP does not present any difference. CONCLUSIONS: The breath-print of exhaled breath from patients with COPD-S and COPD-HAP does not present any difference, which demonstrates that the breath-print is related to the disease and not to causality. With these results, the analysis of the breath-print of COPD is proposed as an alternative for a screening method in future clinical applications.
PURPOSE: The analysis of breath-print, has been proposed as an attractive alternative to investigate possible biomarkers of Chronic Obstructive Pulmonary Disease (COPD). The aim of the present study was to discriminate between healthy subjects, patients with COPD associated with smoking (COPD-S) and patients with COPD associated with household air pollution (COPD-HAP). METHODS: A cross-sectional study of 294 participants was conducted, 88 with smoking associated COPD, 28 associated with HAP and 178 healthy subjects. Breath-print analysis was performed by using the Cyranose 320 electronic nose. Group data were evaluated by Principal Component Analysis (PCA), Canonical Discriminant Analysis (CDA) and Support Vector Machine (SVM) and the test's diagnostic power by means of ROC (Receiver Operating Characteristic) curves. RESULTS: The results indicated that the breath-print of patients with COPD is different from the one of healthy subjects explaining a variability of 93.8% with a correct prediction of 97.8% and correct classification of 100%,also positive and negative predictive value of 96.5 and 100% respectively. Furthermore, the breath-print of exhaled breath from patients with COPD-S and COPD-HAP does not present any difference. CONCLUSIONS: The breath-print of exhaled breath from patients with COPD-S and COPD-HAP does not present any difference, which demonstrates that the breath-print is related to the disease and not to causality. With these results, the analysis of the breath-print of COPD is proposed as an alternative for a screening method in future clinical applications.
Authors: Lorena Díaz de León-Martínez; Rogelio Flores-Ramírez; Maribel Rodriguez-Aguilar; Alejandra Berumen-Rodríguez; Francisco J Pérez-Vázquez; Fernando Díaz-Barriga Journal: Environ Sci Pollut Res Int Date: 2021-01-13 Impact factor: 5.190
Authors: I G van der Sar; N Wijbenga; M E Hellemons; C C Moor; G Nakshbandi; J G J V Aerts; O C Manintveld; M S Wijsenbeek Journal: Respir Res Date: 2021-09-17