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ptairMS: real-time processing and analysis of PTR-TOF-MS data for biomarker discovery in exhaled breath

Camille Roquencourt 1, * Stanislas Grassin-Delyle 2, 3 Etienne A Thévenot 4, 1 
* Corresponding author
1 LS2D - Laboratoire Sciences des Données et de la Décision
DM2I - Département Métrologie Instrumentation & Information : DRT/LIST/DM2I
4 LEMM - Laboratoire d'Etude du Métabolisme des Médicaments
SPI - Service de Pharmacologie et Immunoanalyse : DRF/JOLIOT
Abstract : Motivation: Analysis of volatile organic compounds (VOCs) in exhaled breath by proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) is of increasing interest for real-time, non-invasive diagnosis, phenotyping and therapeutic drug monitoring in the clinics. However, there is currently a lack of methods and software tools for the processing of PTR-TOF-MS data from cohorts and suited for biomarker discovery studies. Results: We developed a comprehensive suite of algorithms that process raw data from patient acquisitions and generate the table of feature intensities. Notably, we included an innovative two-dimensional peak deconvolution model based on penalized splines signal regression for accurate estimation of the temporal profile and feature quantification, as well as a method to specifically select the VOCs from exhaled breath. The workflow was implemented as the ptairMS software, which contains a graphical interface to facilitate cohort management and data analysis. The approach was validated on both simulated and experimental datasets, and we showed that the sensitivity and specificity of the VOC detection reached 99% and 98.4%, respectively, and that the error of quantification was below 8.1% for concentrations down to 19 ppb. Availability and implementation: The ptairMS software is publicly available as an R package on Bioconductor (doi: 10.18129/B9.bioc.ptairMS), as well as its companion experiment package ptairData (doi: 10.18129/B9.bioc.ptairData)
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https://hal-cea.archives-ouvertes.fr/cea-03598858
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Submitted on : Sunday, March 6, 2022 - 12:35:04 PM
Last modification on : Thursday, September 1, 2022 - 11:07:39 AM
Long-term archiving on: : Tuesday, June 7, 2022 - 6:09:22 PM

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Camille Roquencourt, Stanislas Grassin-Delyle, Etienne A Thévenot. ptairMS: real-time processing and analysis of PTR-TOF-MS data for biomarker discovery in exhaled breath. Bioinformatics, Oxford University Press (OUP), 2022, 2022, pp.btac031. ⟨10.1093/bioinformatics/btac031⟩. ⟨cea-03598858⟩

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