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Fecal volatile metabolomics predict gram-negative late-onset sepsis in preterm infants : a nationwide case-control study

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Frerichs, Nina M., el Manouni el Hassani, Sofia, Deianova, Nancy, van Weissenbruch, Mirjam M., van Kaam, Anton H., Vijlbrief, Daniel C., van Goudoever, Johannes B., Hulzebos, Christian V., Kramer, Boris. W., d’Haens, Esther J., Cossey, Veerle, de Boode, Willem P., de Jonge, Wouter J., Wicaksono, Alfian N., Covington, James A., Benninga, Marc A., de Boer, Nanne K. H., Niemarkt, Hendrik J. and de Meij, Tim G. J. (2023) Fecal volatile metabolomics predict gram-negative late-onset sepsis in preterm infants : a nationwide case-control study. Microorganisms, 11 (3). 572. doi:10.3390/microorganisms11030572 ISSN 2076-2607.

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Official URL: http://dx.doi.org/10.3390/microorganisms11030572

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Abstract

Early detection of late-onset sepsis (LOS) in preterm infants is crucial since timely treatment initiation is a key prognostic factor. We hypothesized that fecal volatile organic compounds (VOCs), reflecting microbiota composition and function, could serve as a non-invasive biomarker for preclinical pathogen-specific LOS detection. Fecal samples and clinical data of all preterm infants (≤30 weeks’ gestation) admitted at nine neonatal intensive care units in the Netherlands and Belgium were collected daily. Samples from one to three days before LOS onset were analyzed by gas chromatography—ion mobility spectrometry (GC-IMS), a technique based on pattern recognition, and gas chromatography—time of flight—mass spectrometry (GC-TOF-MS), to identify unique metabolites. Fecal VOC profiles and metabolites from infants with LOS were compared with matched controls. Samples from 121 LOS infants and 121 matched controls were analyzed using GC-IMS, and from 34 LOS infants and 34 matched controls using GC-TOF-MS. Differences in fecal VOCs were most profound one and two days preceding Escherichia coli LOS (Area Under Curve; p-value: 0.73; p = 0.02, 0.83; p < 0.002, respectively) and two and three days before gram-negative LOS (0.81; p < 0.001, 0.85; p < 0.001, respectively). GC-TOF-MS identified pathogen-specific discriminative metabolites for LOS. This study underlines the potential for VOCs as a non-invasive preclinical diagnostic LOS biomarker.

Item Type: Journal Article
Subjects: R Medicine > RJ Pediatrics
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Premature infants, Volatile organic compounds, Neonatal infections, Newborn infants -- Diseases, Septicemia in children, Neonatology
Journal or Publication Title: Microorganisms
Publisher: MDPI
ISSN: 2076-2607
Official Date: 24 February 2023
Dates:
DateEvent
24 February 2023Published
22 February 2023Accepted
Volume: 11
Number: 3
Article Number: 572
DOI: 10.3390/microorganisms11030572
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 28 February 2023
Date of first compliant Open Access: 1 March 2023
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
814168[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
UNSPECIFIEDLandelijke Vereniging van CrematoriaUNSPECIFIED
UNSPECIFIEDStichting Zeldzame Ziekten Fondshttp://dx.doi.org/10.13039/501100009622

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