Data-independent acquisition-based blood proteomics unveils predictive biomarkers for neonatal necrotizing enterocolitis

Necrotizing enterocolitis (NEC) is a life-threatening condition affecting preterm infants, sometimes necessitating surgical treatment. This study aimed to analyze differentially expressed proteins (DEPs) and access their biological and clinical significance in the plasma of neonates with NEC. Peripheral blood samples were collected from NEC infants at various time points, and plasma was separated. Data-independent acquisition (DIA) technology was utilized to identify DEPs among NEC patients at different stages. Bioinformatic analyses, including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, and protein-to-protein interaction analyses were performed on the DEPs. External datasets, along with receiver operating characteristic curves and gene set enrichment analysis, were used to clinically and biologically validate the findings. DEPs between the NEC and pre-NEC groups indicated reduced protein, heme, nitrogen, and purine nucleotide biosynthesis during NEC formation. In addition, enriched DEPs among the NEC groups at different time points suggested reconstructed extracellular matrix, aberrant B-lymphocyte immune responses, and decreased glycosaminoglycan levels during NEC progression. These findings were both clinically and biologically validated using external datasets. Our study highlights the clinical and biological relevance of proteomics in NEC patients. This study demonstrates key pathways involved in NEC pathogenesis and establishes DIA mass spectrometry as a powerful and noninvasive tool for evaluating and predicting NEC formation and progression.

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Publication Details

Journal
Analytical and Bioanalytical Chemistry
Published
2024-11-19
DOI
https://doi.org/10.1007/s00216-024-05637-7
Primary Topic
Infant Nutrition and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Data-independent acquisition-based blood proteomics unveils predictive biomarkers for neonatal necrotizing enterocolitis

Li Lu, Kezhe Tan, Hailiang Sun, Zhibao Lv et al.
Analytical and Bioanalytical Chemistry
Infant Nutrition and Health
article

Data-independent acquisition-based blood proteomics unveils predictive biomarkers for neonatal necrotizing enterocolitis

Li Lu, Kezhe Tan, Hailiang Sun, Zhibao Lv, Wenjun Zhuang, Faling Chen, Qinqin Fu, Feng Chen, Xiaohui Gong, Weijue Xu
article en

Abstract

Necrotizing enterocolitis (NEC) is a life-threatening condition affecting preterm infants, sometimes necessitating surgical treatment. This study aimed to analyze differentially expressed proteins (DEPs) and access their biological and clinical significance in the plasma of neonates with NEC. Peripheral blood samples were collected from NEC infants at various time points, and plasma was separated. Data-independent acquisition (DIA) technology was utilized to identify DEPs among NEC patients at different stages. Bioinformatic analyses, including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, and protein-to-protein interaction analyses were performed on the DEPs. External datasets, along with receiver operating characteristic curves and gene set enrichment analysis, were used to clinically and biologically validate the findings. DEPs between the NEC and pre-NEC groups indicated reduced protein, heme, nitrogen, and purine nucleotide biosynthesis during NEC formation. In addition, enriched DEPs among the NEC groups at different time points suggested reconstructed extracellular matrix, aberrant B-lymphocyte immune responses, and decreased glycosaminoglycan levels during NEC progression. These findings were both clinically and biologically validated using external datasets. Our study highlights the clinical and biological relevance of proteomics in NEC patients. This study demonstrates key pathways involved in NEC pathogenesis and establishes DIA mass spectrometry as a powerful and noninvasive tool for evaluating and predicting NEC formation and progression.

Analytical and Bioanalytical ChemistryVol. 417(1)
Shanghai Jiao Tong University (CN), Nantong University (CN), Affiliated Hospital of Nantong University (CN), Huzhou Women and Children's Hospital (CN), Shanghai Children's Hospital (CN), Hangzhou Children's Hospital (CN)
National Natural Science Foundation of China, Servier
Openalex Percentile: Top 75%
Infant Nutrition and Health
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