AI Article Synopsis

  • Necrotizing enterocolitis (NEC) is a serious condition affecting premature infants in NICUs, and early indicators could help intervene before symptoms arise.* -
  • This study analyzed daily stool samples from 132 very-low-birth-weight infants to explore fecal biomarkers for NEC prediction using advanced proteomics technology.* -
  • Results showed that a specific set of 36 proteins could predict NEC development in infants up to a week before diagnosis, highlighting the potential for early detection methods.*

Article Abstract

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. Eight of the VLBW infants received a stage-3 NEC diagnosis. Stools collected from the NEC infants up to 10 days before their diagnosis were available for seven of them. Their samples were matched with those from seven pairs of non-NEC controls. The samples were processed for liquid chromatography-tandem mass spectrometry analysis using SWATH/DIA acquisition and cross-compatible proteomic software to perform label-free quantification. ROC curve and principal component analyses were used to explore discriminating information and to evaluate candidate protein markers. A series of 36 proteins showed the most efficient capacity with a signature that predicted all seven NEC infants at least a week in advance. Overall, our study demonstrates that multiplexed proteomic signature detection constitutes a promising approach for the early detection of NEC development in premature infants.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569884PMC
http://dx.doi.org/10.3390/ijms231911601DOI Listing

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