ArticlemSystems
Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome.
Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.
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.
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.
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Who cites it
56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 114 citations in OpenAlex.
- Antimicrobial resistance crisis: could artificial intelligence be the solution?Military Medical Research · 2024Pooled it
- Pooled it
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- Review
- Early-life microbiome trajectories as biomarkers to predict health outcomes.Microbiome research reports · 2026Review
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- Article
- Metagenomic analysis reveals distinct patterns of gut microbiota features with diversified functions inGut microbes · 2025Article
- Peripheral Blood TCR Clonotype Diversity as a Biomarker for Colorectal Cancer.Bioengineering (Basel, Switzerland) · 2025Article
- Assessing the Antibiotic Resistance in Food Lactic Acid Bacteria: Risks in the Era of Widespread Probiotic Use.Food science & nutrition · 2025Review
- Whole-genome phenotype prediction with machine learning: open problems in bacterial genomics.Bioinformatics (Oxford, England) · 2025Article
- Global diversity and distribution of antibiotic resistance genes in human wastewater treatment systems.Nature communications · 2025Article
- Article
- Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insights.Frontiers in microbiology · 2025Review
- The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance.Computational and structural biotechnology journal · 2025Review
- Prolonged hospitalization signature and early antibiotic effects on the nasopharyngeal resistome in preterm infants.Nature communications · 2024Article
- Machine learning for microbiologists.Nature reviews. Microbiology · 2024Review
- Integrated image and location analysis for wound classification: a deep learning approach.Scientific reports · 2024Article
- Generalizability of machine learning in predicting antimicrobial resistance in E. coli: a multi-country case study in Africa.BMC genomics · 2024Article
- Antibiotic perturbations to the gut microbiome.Nature reviews. Microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Antibiotic resistance in pathogens is extensively studied, and yet little is known about how antibiotic resistance genes of typical gut bacteria influence microbiome dynamics. Here, we leveraged genomes from metagenomes to investigate how genes of the premature infant gut resistome correspond to the ability of bacteria to survive under certain environmental and clinical conditions. We found that formula feeding impacts the resistome. Random forest models corroborated by statistical tests revealed that the gut resistome of formula-fed infants is enriched in class D beta-lactamase genes. Interestingly,
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What OpenQuestion holds
Registered trials
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.