4.5 Article

Early Postnatal Comprehensive Biomarkers Cannot Identify Extremely Preterm Infants at Risk of Developing Necrotizing Enterocolitis

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FRONTIERS IN PEDIATRICS
卷 9, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fped.2021.755437

关键词

necrotizing enterocolitis; biomarker; preterm infant; cluster analysis; serum

资金

  1. H.K.H. Kronprinsessan Lovisas Forening for Barnasjukvard [2018-00459]

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Early postnatal comprehensive biomarkers do not effectively predict the development of NEC in extremely preterm infants in this study. Future research should focus on sequential analysis of comprehensive proteomic markers in large cohorts to identify predictive factors for NEC.
Background: Necrotizing enterocolitis (NEC) is a fatal disease where current diagnostic tools are insufficient for preventing NEC. Early predictive biomarkers could be beneficial in identifying infants at high risk of developing NEC. Objective: To explore early biomarkers for predicting NEC in extremely preterm infants (EPIs). Methods: Blood samples were collected on day 2 (median 1.7; range 1.5-2.0) from 40 EPI (median 25 gestational weeks; range 22-27): 11 developed NEC and 29 did not (controls). In each infant, 189 inflammatory, oncological, and vascular proteomic biomarkers were quantified through Proximity Extension Assay. Biomarker expression and clinical data were compared between the NEC group and Controls. Based on biomarker differences, controls were sorted automatically into three subgroups (1, 2, and 3) by a two-dimensional hierarchical clustering analysis. Results: None of the biomarkers differed in expression between all controls and the NEC group. Two biomarkers were higher in Control 1, and 16 biomarkers were lower in Control group 2 compared with the NEC group. No biomarker distinguished Control 3 from the NEC group. Perinatal data were similar in the whole population. Conclusions: Early postnatal comprehensive biomarkers do not identify EPIs at risk of developing NEC in our study. Future studies of predictors of NEC should include sequential analysis of comprehensive proteomic markers in large cohorts.

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