Description
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.
[doi:10.25345/C5PZ52111]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: VOCs, Volatolomics, Ventilator Associated Pneumonia, GC MS, Breath Analysis ; DatasetType:Other (volatilomics)
Contact
Principal Investigators:
(in alphabetical order)
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Dr. Christina Virgiliou, Analytical Chemistry Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Greece
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Theano
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Number of distinct conditions across all analyses (original submission and reanalyses)
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Distinct condition labels are counted across all files submitted in the "Metadata" category
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Number of distinct biological replicates across all analyses (original submission and reanalyses)
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Distinct replicate labels are counted across all files submitted in the "Metadata" category
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"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses)
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The technical replicate count is defined as the maximum number of times any one distinct
combination of condition and biological replicate was analyzed across all files submitted in the
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"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically
remapped by MassIVE to proteins in the
SwissProt
human reference database.
"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and
reanalyses) associated with this dataset.
"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original
submission and reanalyses) associated with this dataset.
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Number of distinct peptide sequences (including modified variants or peptidoforms) reported
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"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all
analyses (original submission and reanalyses) associated with this dataset.
"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses)
associated with this dataset.
Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison
across all analyses (original submission and reanalyses) associated with this dataset.
A protein is differentially abundant if its change in abundance across conditions is found
to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated
with statistical tests for differential abundance.
Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE.
It has been imported to MassIVE for reanalysis purposes, so its spectra data here may
consist solely of processed peak lists suitable for reanalysis with most software.