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

被引:0
|
作者
Chen, Feng [1 ]
Tan, Kezhe [1 ]
Lv, Zhibao [1 ]
Chen, Faling [1 ]
Xu, Weijue [1 ]
Gong, Xiaohui [2 ]
Lu, Li [1 ]
Sun, Hailiang [3 ]
Fu, Qinqin [4 ]
Zhuang, Wenjun [3 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Childrens Hosp, Sch Med, Dept Gen Surg, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Childrens Hosp, Sch Med, Dept Neonatol, Shanghai, Peoples R China
[3] Nantong Univ, Affiliated Changzhou Childrens Hosp, Dept Gen Surg, Changzhou, Jiangsu, Peoples R China
[4] Huzhou Matern & Child Hlth Care Hosp, Dept Neonatol, Huzhou, Zhejiang, Peoples R China
关键词
DIA mass spectrometry; Proteomics; NEC; DEPs; Clinical and biological relevance; GLUCOSE-METABOLISM; IDENTIFICATION; EXPRESSION; MIGRATION; PATHWAYS; INSIGHTS; GROWTH; GENES;
D O I
10.1007/s00216-024-05637-7
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:199 / 218
页数:20
相关论文
共 50 条
  • [21] Enhanced differential expression statistics for data-independent acquisition proteomics
    Tomi Suomi
    Laura L. Elo
    Scientific Reports, 7
  • [22] Data-independent acquisition-based proteome profiling of red blood cells from dairy buffaloes under different types of heat stress
    Lan, Qin
    Gu, Zhao-bing
    VETERINARY AND ANIMAL SCIENCE, 2025, 28
  • [23] REGULATORY NETWORKS OF DIFERENTIALLY EXPRESSED PROTEINS IN BLOOD OF OSTEOARTHRITIS PATIENTS BASED ON DATA-INDEPENDENT ACQUISITION PROTEOMICS TECHNOLOGY
    He, A.
    Jiang, Y.
    Han, L.
    Zhang, R.
    OSTEOARTHRITIS AND CARTILAGE, 2023, 31 : S348 - S349
  • [24] Data-independent acquisition-based quantitative proteomic analysis reveals differences in host immune response of peripheral blood mononuclear cells to sepsis
    Tong, Yiqing
    Ku, Xin
    Wu, Chunrong
    Liu, Jianjun
    Yang, Chunhui
    Tang, Wenzhi
    Yan, Wei
    Tang, Jianguo
    SCANDINAVIAN JOURNAL OF IMMUNOLOGY, 2019, 89 (04)
  • [25] Data-Independent Acquisition: A Milestone and Prospect in Clinical Mass Spectrometry-Based Proteomics
    Froehlich, Klemens
    Fahrner, Matthias
    Brombacher, Eva
    Seredynska, Adrianna
    Maldacker, Maximilian
    Kreutz, Clemens
    Schmidt, Alexander
    Schilling, Oliver
    MOLECULAR & CELLULAR PROTEOMICS, 2024, 23 (08)
  • [26] DIAproteomics: A Multifunctional Data Analysis Pipeline for Data-Independent Acquisition Proteomics and Peptidomics
    Bichmann, Leon
    Gupta, Shubham
    Rosenberger, George
    Kuchenbecker, Leon
    Sachsenberg, Timo
    Ewels, Phil
    Alka, Oliver
    Pfeuffer, Julianus
    Kohlbacher, Oliver
    Rost, Hannes
    JOURNAL OF PROTEOME RESEARCH, 2021, 20 (07) : 3758 - 3766
  • [27] Data-independent acquisition-based global phosphoproteomics reveal the diverse roles of casein kinase 1 in plant development
    Qu, Li
    Liu, Moyang
    Zheng, Lingli
    Wang, Xu
    Xue, Hongwei
    SCIENCE BULLETIN, 2023, 68 (18) : 2077 - 2093
  • [28] MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics
    Isaksson, Marc
    Karlsson, Christofer
    Laurell, Thomas
    Kirkeby, Agnete
    Heusel, Moritz
    JOURNAL OF PROTEOME RESEARCH, 2022, 21 (02) : 535 - 546
  • [29] Interrogating data-independent acquisition LC–MS/MS for affinity proteomics
    David L. Tabb
    Mohammed Hanzala Kaniyar
    Omar G. Rosas Bringas
    Heaji Shin
    Luciano Di Stefano
    Martin S. Taylor
    Shaoshuai Xie
    Omer H. Yilmaz
    John LaCava
    Journal of Proteins and Proteomics, 2024, 15 (3) : 281 - 298
  • [30] Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study
    Ma, Dan
    Yang, Ruiqing
    Chen, Yunlong
    Huang, Zhengyi
    Shen, Yuxin
    He, Chengqi
    Zhao, Lixing
    SCIENTIFIC REPORTS, 2022, 12 (01)