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The Gut Resistome Atlas in Preterm Infants Enables Prediction of Necrotizing Enterocolitis Onset

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机构: [1]Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China. [2]Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China. [3]Guangzhou Women and Children's Medical Center, Guangzhou, 510600, China. [4]Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. [5]Guangdong Provincial Clinical Research Center for Laboratory Medicine, Guangzhou, 510033, China. [6]Shenzhen Children's Hospital, Shenzhen, 518026, China. [7]Foshan Women and Children Hospital, Foshan, 528000, China. [8]Key Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China. [9]Department of Neonatology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
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关键词: biomarkers gut resistome metagenomics NEC preterm infants

摘要:
The accelerating threat from antimicrobial resistance (AMR) has become a global health issue. The properties of AMR in the gut microbiome of preterm infants and its clinical relevance with necrotizing enterocolitis (NEC) remain unknown. In-depth integrative analyses of 5,684 gut metagenomes are performed to build an AMR genes (ARGs) landscape. A subset of 107 preterm infants who developed NEC is sampled to examine the trajectory and predictive potential of ARGs preceding NEC onset. The variation and core set of ARGs, their higher burden and diversity, and potential ARGs-enriched gut bacteria in preterm infants compared to full-term infants are comprehensively discovered, reflecting a strain shift in genomic functions. Moreover, the gut resistome converged over 9 days before NEC onset is observed, which is driven by 24 ARGs. Machine learning analysis reveals potential usage of the gut resistome as an indicator for predicting NEC onset in an external validation preterm birth cohort (the area under the receiver operating characteristic curve, AU-ROC = 0.823), which is significantly higher than that based on the bacterial species (AU-ROC = 0.727). Overall, the findings can be referenced to mitigate the burden and spread of ARGs, and specific ARGs have potential for disease risk stratification to improve clinical management.© 2025 The Author(s). Advanced Science published by Wiley‐VCH GmbH.

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出版当年[2025]版:
大类 | 1 区 综合性期刊
小类 | 1 区 化学:综合 1 区 材料科学:综合 1 区 纳米科技
最新[2025]版:
大类 | 1 区 综合性期刊
小类 | 1 区 化学:综合 1 区 材料科学:综合 1 区 纳米科技
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出版当年[2024]版:
Q1 CHEMISTRY, MULTIDISCIPLINARY Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Q1 NANOSCIENCE & NANOTECHNOLOGY
最新[2024]版:
Q1 CHEMISTRY, MULTIDISCIPLINARY Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Q1 NANOSCIENCE & NANOTECHNOLOGY

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第一作者机构: [1]Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China. [2]Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
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通讯机构: [1]Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China. [2]Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
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