Exhaled Air Metabolome Analysis for Pulmonary Arterial Hypertension Fingerprints Identification—The Preliminary Study

Andrzej S. Swinarew (), Jadwiga Gabor (), Błażej Kusz, Szymon Skoczyński, Paweł Raif, Ilona Skoczylas, Kamil Jonas, Marek Grabka, Magdalena Mizia-Szubryt, Karolina Bula, Arkadiusz Stanula, Barbara Mika, Ewaryst Tkacz, Jarosław Paluch, Mariusz Gąsior, Grzegorz Kopeć and Katarzyna Mizia-Stec
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Andrzej S. Swinarew: Faculty of Science and Technology, University of Silesia in Katowice, 41-500 Chorzów, Poland
Jadwiga Gabor: Faculty of Science and Technology, University of Silesia in Katowice, 41-500 Chorzów, Poland
Błażej Kusz: First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
Szymon Skoczyński: Department of Pneumonology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
Paweł Raif: Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, 41-800 Zabrze, Poland
Ilona Skoczylas: 3rd Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 41-800 Katowice, Poland
Kamil Jonas: Pulmonary Circulation Centre, Department of Cardiac and Vascular Diseases, Jagiellonian University Medical College, John Paul II Hospital in Krakow, 31-349 Kraków, Poland
Marek Grabka: First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
Magdalena Mizia-Szubryt: First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
Karolina Bula: First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
Arkadiusz Stanula: Department of Swimming and Water Rescue, Institute of Sport Science, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland
Barbara Mika: Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, 41-800 Zabrze, Poland
Ewaryst Tkacz: Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, 41-800 Zabrze, Poland
Jarosław Paluch: Department of ENT, Faculty of Medical Sciences in Katowice, Medical University Silesia, 40-055 Katowice, Poland
Mariusz Gąsior: 3rd Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 41-800 Katowice, Poland
Grzegorz Kopeć: Pulmonary Circulation Centre, Department of Cardiac and Vascular Diseases, Jagiellonian University Medical College, John Paul II Hospital in Krakow, 31-349 Kraków, Poland
Katarzyna Mizia-Stec: First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland

IJERPH, 2022, vol. 20, issue 1, 1-13

Abstract: Pulmonary arterial hypertension (PAH) is a rare disease with a serious prognosis. The aim of this study was to identify biomarkers for PAH in the breath phase and to prepare an automatic classification method to determine the changing metabolome trends and molecular mapping. A group of 37 patients (F/M: 8/29 women, mean age 60.4 ± 10.9 years, BMI 27.6 ± 6.0 kg/m 2 ) with diagnosed PAH were enrolled in the study. The breath phase of all the patients was collected on a highly porous septic material using a special patented holder PL230578, OHIM 002890789-0001. The collected air was then examined with gas chromatography coupled with mass spectrometry (GC/MS). The algorithms of Spectral Clustering, KMeans, DBSCAN, and hierarchical clustering methods were used to perform the cluster analysis. The identification of the changes in the ratio of the whole spectra of biomarkers allowed us to obtain a multidimensional pathway for PAH characteristics and showed the metabolome differences in the four subgroups divided by the cluster analysis. The use of GC/MS, supported with novel porous polymeric materials, for the breath phase analysis seems to be a useful tool in selecting bio-fingerprints in patients with PAH. The four metabolome classes which were obtained constitute novel data in the PAH population.

Keywords: pulmonary arterial hypertension; metabolome; fast screening diagnostics (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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