Evidence map›Paper›PMID 41025564›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

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

Shuqin Zeng, Hua Wang, Li Zhang, Shiping Li, Yuan Yuan, Mengting Tian, Yi Qu, Junjie Ying, Meicen Zhou, Yong Hu and 13 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Shuqin ZengDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Hua WangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Li ZhangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Shiping LiDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Yuan YuanGuangzhou Women and Children's Medical Center, Guangzhou, 510600, China.
Mengting TianDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Yi QuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Junjie YingDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Meicen ZhouDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Yong HuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Jinglan HuangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Rong ZouDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Fengyan ZhaoDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Xiaojuan SuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Qian LiuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Yan HeMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Jinxing FengShenzhen Children's Hospital, Shenzhen, 518026, China.
Weimin HuangShenzhen Children's Hospital, Shenzhen, 518026, China.
Ying LuoFoshan Women and Children Hospital, Foshan, 528000, China.
Zhemin ZhouKey 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.
Wei ShenDepartment of Neonatology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Dezhi MuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Shaopu WangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.ORCID https://orcid.org/0000-0003-2803-5814

Funding

Department of Science and Technology of Sichuan Province 2025ZNSFSC1677Fundamental Research Funds for the Central University SCU2023D006National Key Research and Development Program 2021YFC2701700National Key Research and Development Program 2021YFC2701704National Natural Science Foundation of China 82201905National Natural Science Foundation of China 82241036National Natural Science Foundation of China 82271749National Natural Science Foundation of China 82371717National Natural Science Foundation of China 82402025National Natural Science Foundation of China 82530056National Natural Science Foundation of China 82571980Sanming Project of Medicine in Shenzhen SZSM202311027
6 · The paper itself

Abstract

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.

Indexed as

Enterocolitis, NecrotizingGastrointestinal MicrobiomeInfant, PrematureFemaleHumansInfant, NewbornMachine LearningMaleMetagenomebiomarkersgut resistomemetagenomicsNECpreterm infants

Identifiers

PMID41025564
PMCPMC12677589

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.