ArticlemSystems2021
Computational Model To Quantify the Growth of Antibiotic-Resistant Bacteria in Wastewater.
Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
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
24 citing papers in PubMed, 34 citations in OpenAlex.
- Convergent evolution of ST2 and ST164 mediates dissemination of the blaAnnals of clinical microbiology and antimicrobials · 2026Article
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- Comparative genomic and resistance characterization of ST2 and ST164 carbapenem-resistantMicrobial genomics · 2026Article
- Ecological context structures duplication and mobilization of antibiotic and metal resistance genes in bacteria.bioRxiv : the preprint server for biology · 2026Article
- In vitro antibacterial efficacy of a novel chicken-derived Bacillus subtilis GX15 strain and its protective mechanisms in mice challenged by Salmonella enterica serovar typhymurium.BMC microbiology · 2025Article
- Effects of microplastic concentration, composition, and size onApplied and environmental microbiology · 2025Article
- Identification of a novel phage depolymerase against ST11 K64 carbapenem-resistantJournal of bacteriology · 2025Article
- Article
- Antimicrobial photodynamic therapy with 5-aminolevulinic acid plus antibiotics: a promising treatment for tibial osteomyelitis caused by drug-resistant bacteria.Frontiers in pharmacology · 2025Article
- Environmental concentrations of copper and iron can alter the evolution of antimicrobial resistance ofFrontiers in microbiology · 2025Article
- Optimizing Antibiotic Use: Addressing Resistance Through Effective Strategies and Health Policies.Antibiotics (Basel, Switzerland) · 2024Review
- Article
- Ceftazidime/avibactam combined with colistin: a novel attempt to treat carbapenem-resistant Gram-negative bacilli infection.BMC infectious diseases · 2023Article
- Effects of antibiotic interaction on antimicrobial resistance development in wastewater.Scientific reports · 2023Article
- Therapeutic potential of bacteriophage endolysins for infections caused by Gram-positive bacteria.Journal of biomedical science · 2023Review
- Effects of Antibiotic Interaction on Antimicrobial Resistance Development in Wastewater.bioRxiv : the preprint server for biology · 2023Article
- Application of CRISPR-Cas system in the diagnosis and therapy of ESKAPE infections.Frontiers in cellular and infection microbiology · 2023Review
- Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data.The Lancet regional health. Western Pacific · 2023Article
- Activities of Eravacycline, Tedizolid, Norvancomycin, Nemonoxacin, Ceftaroline, and Comparators against 1,871Microbiology spectrum · 2022Article
- Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Although wastewater and sewage systems are known to be significant reservoirs of antibiotic-resistant bacterial populations and periodic outbreaks of drug-resistant infection, there is little quantitative understanding of the drivers behind resistant population growth in these settings. In order to fill this gap in quantitative understanding of the development of antibiotic-resistant infections in wastewater, we have developed a mathematical model synthesizing many known drivers of antibiotic resistance in these settings to help predict the growth of resistant populations in different environmental scenarios. A number of these drivers of drug-resistant infection outbreak, including antibiotic residue concentration, antibiotic interaction, chromosomal mutation, and horizontal gene transfer, have not previously been integrated into a single computational model. We validated the outputs of the model with quantitative studies conducted on the eVOLVER continuous culture platform. Our integrated model shows that low levels of antibiotic residues present in wastewater can lead to increased development of resistant populations and that the dominant mechanism of resistance acquisition in these populations is horizontal gene transfer rather than acquisition of chromosomal mutations. Additionally, we found that synergistic antibiotics at low concentrations lead to increased resistant population growth. These findings, consistent with recent experimental and field studies, provide new quantitative knowledge on the evolution of antibiotic-resistant bacterial reservoirs, and the model developed herein can be adapted for use as a prediction tool in public health policy making, particularly in low-income settings where water sanitation issues remain widespread and disease outbreaks continue to undermine public health efforts.
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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.