Medical Application: Breath Volatile Compounds in Asthma Patients
Jef Focant, PhD
Monday, June 24, 2019
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Chapters
Introduction
OBiAChem
The Playground
Typical Sampling Approaches
Typical GC×GC Chromatogram
Real Expectations
Data Science: Object of all Attentions
Influence of Exogenous VOCs at Sampling
Univariate vs Multivariate Feature Selection
HRMS to Support Feature Selection
HRMS vs Library Match Scores
Take-Home Message About our Playground
Asthma (BreathPrint Study)
Asthma
Clinical Diagonosis
Clinical Phenotyping
Asthma Inflammatory Phenotypes: Induced Sputum
Breath as Alternative Clinical Diagnosis
Clinical Diagnosis
The BreathPrint Study
Independent Validation Study
Study Outcome
GC×GC Chromatogram
Quality Control (QC) over the Entire Study
Asthma Inflammatory Phenotypes: Breath VOCs
Validation Study: 245 Patients
Eosinophilic Asthma
Can We Get More Out of the GC×GC Dataset?
Unsupervised Approach
Unsupervised Clustering
Can We go Deeper in the Understanding?
Cell Culture Approach
Based on a Previous Investigation on Cancer
Focus on A549 Epithelial Cells
Effect of Oxidative Stress on A549 Headspace (H2O2)
Conclusions
Acknowledgments
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