Fecal Volatile Metabolomics Predict Gram-Negative Late-Onset Sepsis in Preterm Infants: A Nationwide Case-Control Study.
Nina M FrerichsSofia El Manouni El HassaniNancy DeianovaMirjam Maria van WeissenbruchAnton H van KaamDaniel C VijbriefJohannes Hans B van GoudoeverChristian V HulzebosBoris W KramerEsther J d'HaensVeerle CosseyWillem P de BoodeWouter J de JongeAlfian N WicaksonoJames Anthony CovingtonMarc A BenningaNanne K H de BoerHendrik J NiemarktTim G J de MeijPublished in: Microorganisms (2023)
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.
Keyphrases
- gas chromatography
- preterm infants
- mass spectrometry
- late onset
- gram negative
- tandem mass spectrometry
- high resolution mass spectrometry
- multidrug resistant
- intensive care unit
- low birth weight
- escherichia coli
- early onset
- gas chromatography mass spectrometry
- liquid chromatography
- solid phase extraction
- ms ms
- prognostic factors
- acute kidney injury
- intellectual disability
- physical activity
- klebsiella pneumoniae
- machine learning
- climate change
- acute respiratory distress syndrome
- artificial intelligence
- big data
- risk assessment
- cross sectional
- combination therapy
- label free