ArticleJournal of neonatal-perinatal medicine2025
Distinct microbiota profiles in non-survivors in preterm infants with surgical necrotizing enterocolitis: Insights from FFPE intestinal tissue analysis.
Article in Journal of neonatal-perinatal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- NEC-Associated Bronchopulmonary Dysplasia and the Gut-Lung Axis in Preterm Infants.American journal of perinatology · 2026Review
- Emerging role of non-coding RNAs as biomarkers and therapeutic targets in preterm infants with necrotizing enterocolitis.Pediatric research · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
BackgroundThe variant microbiome is associated with necrotizing enterocolitis (NEC). We aimed to analyze remnant formalin fixed paraffin-embedded (FFPE) intestine tissue for microbiome profiling in preterm infants with surgical NEC.MethodsWe analyzed FFPE small intestine tissues from 16 infants with NEC (8 survivors and 8 non-survivors). Extracted DNA from FFPE tissue blocks underwent 16S rRNA sequencing. We compared the microbiota profiles in survivors and non-survivors. Alpha- and beta diversity metrics were calculated using QIIME2. To assess differences in overall microbial community structure, we performed a Permutational Multivariate Analysis of Variance (PERMANOVA). The analysis was performed in MaAsLin2 R package to determine the specific microbial taxa whose relative abundances were significantly associated with survival status in a multivariable linear model.ResultsSequencing of FFPE extracted DNA resulted in high-quality sequence reads in 16 cases.AnalysisAnalysis of microbial communities from 16 cases revealed a significant association between microbiome structure and survival status. Beta diversity analysis demonstrated distinct clustering of microbiome profiles between survivor and non-survivor groups. Alpha diversity metrics further characterized these differences: the non-survivor group exhibited a more complex and even microbiota (Shannon entropy,
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Registered trials
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