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Breathomics can discriminate between anti IgE-treated and non-treated severe asthma adults

Giuseppe Santini, Stefano Di Carlo, Alfredo Benso, Nadia Mores, Paul Brinkman, Salvatore Valente, Paolo Montuschi, Francesco Macagno, Gianfranco Politano, Ariane H. Wagener, Aruna T. Bansal, Hugo H. Knobel, Anton J. Vink, Nicholas Rattray, Marco Santonico, Giorgio Pennazza, Yuanyue Wang, Ildiko Horvath, Ratko Djukanovic, Riccardo Polosa, Stephen J. Fowler, Pascal Chanez, Kian F. Chung, Peter J. Sterk, Paolo Montuschi, U-BIOPRED Study Group
European Respiratory Journal 2015 46: OA1463; DOI: 10.1183/13993003.congress-2015.OA1463
Giuseppe Santini
1Pharmacology, Catholic University of the Sacred Heart, Rome, Italy
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Stefano Di Carlo
2Computer Engineering, Polytechnic of Turin, Turin, Italy
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Alfredo Benso
2Computer Engineering, Polytechnic of Turin, Turin, Italy
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Nadia Mores
1Pharmacology, Catholic University of the Sacred Heart, Rome, Italy
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Paul Brinkman
3Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, Netherlands
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Salvatore Valente
4Internal Medicine and Geriatrics, Catholic University of the Sacred Heart, Rome, Italy
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Paolo Montuschi
2Computer Engineering, Polytechnic of Turin, Turin, Italy
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Francesco Macagno
4Internal Medicine and Geriatrics, Catholic University of the Sacred Heart, Rome, Italy
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Gianfranco Politano
2Computer Engineering, Polytechnic of Turin, Turin, Italy
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Ariane H. Wagener
3Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, Netherlands
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Aruna T. Bansal
5Biostatistics, Acclarogen Ltd., Cambridge, United Kingdom
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Hugo H. Knobel
6Physical Chemistry, Philips Research Laboratories, Eindhoven, Netherlands
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Anton J. Vink
6Physical Chemistry, Philips Research Laboratories, Eindhoven, Netherlands
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Nicholas Rattray
7Respiratory Medicine, University of Manchester, Manchester, United Kingdom
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Marco Santonico
8Electronic Engineering, Università Campus Bio-Medico, Rome, Italy
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Giorgio Pennazza
8Electronic Engineering, Università Campus Bio-Medico, Rome, Italy
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Yuanyue Wang
6Physical Chemistry, Philips Research Laboratories, Eindhoven, Netherlands
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Ildiko Horvath
9Respiratory Medicine, Semmelweis University, Budapest, Hungary
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Ratko Djukanovic
10Respiratory Medicine, University of Southampton, Southampton, United Kingdom
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Riccardo Polosa
11Internal Medicine, University of Catania, Catania, Italy
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Stephen J. Fowler
7Respiratory Medicine, University of Manchester, Manchester, United Kingdom
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Pascal Chanez
12Respiratory Medicine, University of Marseille, Marseille, France
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Kian F. Chung
13Respiratory Medicine, Imperial College, London, United Kingdom
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Peter J. Sterk
3Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, Netherlands
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Paolo Montuschi
1Pharmacology, Catholic University of the Sacred Heart, Rome, Italy
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1Pharmacology, Catholic University of the Sacred Heart, Rome, Italy
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Abstract

Rationale: Omalizumab, an anti-IgE monoclonal antibody, is indicated in adults with severe persistent allergic asthma. Exhaled molecular markers can provide phenotypic information in asthma.

Objectives: Determine whether adults with severe asthma on omalizumab (anti-IgE+) have a different breathprint compared with those who were not on anti-IgE therapy (anti-IgE-) as assessed by eNoses and gas chromatography/mass spectrometry (GC/MS) (breathomics).

Methods: This was a cross-sectional analysis of the U-BIOPRED adult cohort. Severe asthma was defined by IMI-criteria [Bel, Thorax 2011]. Anti-IgE+ patients were on a regular treatment with s.c. omalizumab (150-375 mg) every 2-4 weeks. Exhaled volatile compounds trapped on adsorption tubes were analysed by a centralized eNose platform (Owlstone Lonestar, two Cyranose 320, Comon Invent, Tor Vergata TEN), including a total of 190 sensors, and GC/MS. Recursive feature elimination (http://topepo.github.io/caret/rfe.html) was used for feature selection and random forests, more robust to overfitting, for classification.

Results: 9 anti-IgE+ (females/males 2/7, age 52.6±16.3 years, mean±SD, 1/2/6 current/ex/nonsmokers, pre-bronchodilator FEV1 70.6±21.1% predicted value) and 30 anti-IgE- patients (18/12 females/males, age 53.2±14.2 years, 0/16/14 current/ex/nonsmokers, pre-bronchodilator FEV1 59.6±30.7% predicted value) were studied. Accuracy of classification is shown in Table 1.

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Table 1

Conclusions: Preliminary results suggest that breathomics can distinguish between anti-IgE+ and anti-IgE- severe asthma patients.

  • Breath test
  • Biomarkers
  • Asthma - management
  • Copyright ©ERS 2015
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Breathomics can discriminate between anti IgE-treated and non-treated severe asthma adults
Giuseppe Santini, Stefano Di Carlo, Alfredo Benso, Nadia Mores, Paul Brinkman, Salvatore Valente, Paolo Montuschi, Francesco Macagno, Gianfranco Politano, Ariane H. Wagener, Aruna T. Bansal, Hugo H. Knobel, Anton J. Vink, Nicholas Rattray, Marco Santonico, Giorgio Pennazza, Yuanyue Wang, Ildiko Horvath, Ratko Djukanovic, Riccardo Polosa, Stephen J. Fowler, Pascal Chanez, Kian F. Chung, Peter J. Sterk, Paolo Montuschi, U-BIOPRED Study Group
European Respiratory Journal Sep 2015, 46 (suppl 59) OA1463; DOI: 10.1183/13993003.congress-2015.OA1463

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Breathomics can discriminate between anti IgE-treated and non-treated severe asthma adults
Giuseppe Santini, Stefano Di Carlo, Alfredo Benso, Nadia Mores, Paul Brinkman, Salvatore Valente, Paolo Montuschi, Francesco Macagno, Gianfranco Politano, Ariane H. Wagener, Aruna T. Bansal, Hugo H. Knobel, Anton J. Vink, Nicholas Rattray, Marco Santonico, Giorgio Pennazza, Yuanyue Wang, Ildiko Horvath, Ratko Djukanovic, Riccardo Polosa, Stephen J. Fowler, Pascal Chanez, Kian F. Chung, Peter J. Sterk, Paolo Montuschi, U-BIOPRED Study Group
European Respiratory Journal Sep 2015, 46 (suppl 59) OA1463; DOI: 10.1183/13993003.congress-2015.OA1463
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