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GC-MS method for the analysis of longitudinally collected breath samples from hospitalized children in the ICU

ABSTRACT: Despite the potential of volatolomics for non invasive monitoring, the detection of VAP in children remains a significant clinical challenge. Herein, we present a GC MS method for the analysis of longitudinally collected breath samples from hospitalized children in the ICU. Results from part of the 3 year CASSANDRA project. We applied a rigorous normalization strategy to ensure sample comparability across multiple time points. The final aim of the study is to determine whether specific VOC fingerprints can serve as early indicators of VAP, thereby improving diagnostic accuracy and patient outcomes in the pediatric intensive care unit.

INSTRUMENT(S): Gas Chromatography

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Dr. Christina Virgiliou

PROVIDER: MSV000100820 | MassIVE | Thu Feb 12 06:19:00 GMT 2026

REPOSITORIES: MassIVE

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Project description:Asthma is an inflammatory disease of the airways characterised by episodic airway obstruction resulting in cough, episodic shortness of breath. It is, and is clinically and physiologically heterogeneous. It is estimated that around 300 million people worldwide have the diseaseare diagnosed with asthma, including up to 20% of children (Asher et al, 2006), with 5–10% of these children believed to have severe or difficult-to-treat asthma. Asthma has often been classified in terms of severity and based on clinical diagnostic criteria, but it is now apparent that the heterogeneity that exists at the physiological level is also a feature of the underlying pathological mechanisms (Lotvall et al, 2011). The aim of this study was to identify blood transcriptomics profiles for children diagnosed with asthma or wheeze, and establish whether these profiles suggested endotypes or mechanisms that could underlie disease, or be related to disease severity, in these children. Importantly, given that children are currently treated with the same medicines as adults, we also aimed to compare profiles of children to those of adults with asthma to help determine whether efforts should be directed to the development of medicines targeting pathways and mechanisms that may be unique to children. To this end, we used gene transcriptome data generated from blood samples from adults and children from the U-BIOPRED consortium to ask how similar or different the differential gene expression profiles were between groups of adults and pre-school or school-aged children with severe or mild-moderate asthma (or wheeze for the pre-school aged children) using current definitions. The Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) project was set up as a public-private partnership within the framework of the Innovative Medicines Initiative (IMI), engaging academia, the pharmaceutical industry and patient groups. The goal of this investigation was to identify transcript fingerprints in whole blood that characterize patients with severe asthma and to determine whether subgroups of severe asthmatics can be identified.

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GC-MS method for the analysis of longitudinally collected breath samples from hospitalized children in the ICU

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