Proteomics

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Proteomics analysis of stool samples from preterm neonates with mass spectrometry for predicting necrotizing enterocolitis


ABSTRACT: This study aimed to investigate the potential of fecal proteomics signatures for NEC prediction. Stools were collected from NEC infants up to 10 days before their diagnosis and matched with those from non-NEC controls for three tested periods. Stool samples were analyzed with liquid chromatography-tandem mass spectrometry using SWATH acquisition and a cross-compatible proteomic software platform to perform label-free quantification. ROC curves and principal component analysis were used to explore discriminating information provided by potential markers and sets of markers were evaluated with classical clustering and classification methods to evaluate their capacity to sort the samples giving to their actual outcomes. We identified a specific series of markers that predicted all NEC from non-NEC infants at least a week in advance. Our study shows that multiplexed proteomic signature detection constitutes a favorable approach for the early detection of NEC.

INSTRUMENT(S): TripleTOF 6600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Feces

DISEASE(S): Perinatal Necrotizing Enterocolitis

SUBMITTER: David Gagne  

LAB HEAD: Jean-François Beaulieu

PROVIDER: PXD036178 | Pride | 2023-03-11

REPOSITORIES: Pride

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Publications

Proteomics Profiling of Stool Samples from Preterm Neonates with SWATH/DIA Mass Spectrometry for Predicting Necrotizing Enterocolitis.

Gagné David D   Shajari Elmira E   Thibault Marie-Pier MP   Noël Jean-François JF   Boisvert François-Michel FM   Babakissa Corentin C   Levy Emile E   Gagnon Hugo H   Brunet Marie A MA   Grynspan David D   Ferretti Emanuela E   Bertelle Valérie V   Beaulieu Jean-François JF  

International journal of molecular sciences 20221001 19


Necrotizing enterocolitis (NEC) is a life-threatening condition for premature infants in neonatal intensive care units. Finding indicators that can predict NEC development before symptoms appear would provide more time to apply targeted interventions. In this study, stools from 132 very-low-birth-weight (VLBW) infants were collected daily in the context of a multi-center prospective study aimed at investigating the potential of fecal biomarkers for NEC prediction using proteomics technology. Eig  ...[more]

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