ArticleAntibiotics (Basel, Switzerland)2024
Metatranscriptomic Analysis Reveals Actively Expressed Antimicrobial-Resistant Genes and Their Hosts in Hospital Wastewater.
Article in Antibiotics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
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Who cites it
7 citing papers in PubMed.
- Article
- Unraveling plasmid contributions to phosphorus acquisition in soil microbiomes.Environmental microbiome · 2026Article
- Antibiotic: a boon to mankind and doom to the environment - an insight on biological and non-biological degradation processes.Frontiers in microbiology · 2026Review
- Animal type outweighs growth stage in shaping the active antibiotic resistome in livestock manure.Frontiers in microbiology · 2026Article
- Unraveling the activity of phage-carrying antibiotic resistance genes in constructed wetlands.Frontiers in cellular and infection microbiology · 2026Article
- GGut microbes · 2025Review
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Antimicrobial resistance is a major global concern and economic threat, necessitating a reliable monitoring approach to understand its frequency and spread via the environment. Hospital wastewater serves as a critical reservoir for antimicrobial-resistant organisms; however, its role in resistance gene distribution and dissemination remains poorly understood. This study integrates metagenomic and metatranscriptomic analyses, elucidating the dynamics of antimicrobial resistance in hospital wastewater. Integrated metagenomic and metatranscriptomic sequencing were used to identify actively expressed antimicrobial-resistant genes and antimicrobial-resistant bacteria, offering comprehensive insights into antimicrobial resistance dynamics in hospital wastewater. Liquid chromatography-tandem mass spectrometry analysis revealed the presence of ampicillin, sulbactam, levofloxacin, sulfamethoxazole, and trimethoprim in the sample, which could apply selective pressure on antimicrobial resistance gene expression. While multidrug resistance genes were the most prevalent sequences in both metagenome-assembled genomes and plasmids, plasmid-derived sequences showed a high mRNA/DNA ratio, emphasizing the presence of functionally expressed antimicrobial resistance genes on plasmids rather than on chromosomes. The metagenomic and metatranscriptomic analyses revealed
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Registered trials
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