Antidepressant fluoxetine induces multiple antibiotics resistance in Escherichia coli via ROS-mediated mutagenesis
Abstract
Background Antibiotic resistance poses a great threat to global public health. Overuse of antibiotics is generally considered as the major factor contributing to it. However, little is known about whether non-antibiotic drugs could play potential roles in the emergence of antibiotic resistance. Objective We aimed to investigate whether antidepressant fluoxetine induces multiple antibiotic resistances and reveal underlying mechanisms. Methodology Escherichia coli K12 was exposed to different concentrations of fluoxetine (0, 0.5, 5, 50 and 100 mg/L) and the resistant strains were isolated by plating on antibiotic containing plates. Resistant strains were randomly selected to determine the increase of minimum inhibition concentration (MIC) of multiple antibiotics. Genome-wide DNA sequencing was performed on cells cultured in lysogeny broth (LB) without any fluoxetine or antibiotics exposure. RNA sequencing and proteomic profiling of isolated mutants grown in LB with 100 mg/L fluoxetine were analyzed to reveal the underlying mechanisms. Results Exposure of Escherichia coli to fluoxetine at 5-100 mg/L after repeated subculture in LB for 30 days promoted its mutation frequency resulting in increased resistance against the antibiotics chloramphenicol, amoxicillin and tetracycline. This increase was up to 5.0 × 10 7 fold in a dose-time pattern. Isolated mutants with resistance to one of these antibiotics also exhibited multiple resistances against fluoroquinolone, aminoglycoside, β-l…
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SSRIs including sertraline, paroxetine and fluoxetine have antimicrobial activity against gram-positive bacteria such as Staphylococcus and Enterococcus.
“The antidepressant SSRIs (selective-serotonin reuptake inhibitors), including sertraline, paroxetine and fluoxetine (Jin et al., 2018), have antimicrobial activity against gram-positive bacteria such as Staphylococcus and Enterococcus (Ayaz et al., 2015;Coban et al., 2009).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Jin et al., 2018
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- Authors
- Jin, M., Lu, J., Chen, Z., Nguyen, S. H., Mao, L., Li, J., Yuan, Z., & Guo, J.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Guo, Jianhua
- Venue
- Environment International
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 120
- Pages
- 421-430
- ISSN
- 0160-4120 (ISSN-L)
- OpenAlex
- W2885571787
- Cited by
- 182
- References
- 0
- Citations by year
- 2026: 19 · 2025: 27 · 2024: 25 · 2023: 25 · 2022: 32 · 2021: 19 · 2020: 16 · 2019: 17 · 2018: 2
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Environment International (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Australian Research Council (FT170100196)
- UQ Foundation Research Excellence Awards
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
- Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- fluoxetine, antidepressants, antibiotic resistance, Escherichia coli, reactive oxygen species, efflux pumps, AcrAB-TolC, transcription factors, MarR, Rob, SdiA, C-reactive protein, multidrug resistance, off-target effects
- MeSH terms
- Anti-Bacterial Agents, Antidepressive Agents, Escherichia coli, Fluoxetine, Microbial Sensitivity Tests, Mutagenesis, Reactive Oxygen Species, Drug Resistance, Multiple, Bacterial, Membrane Transport Proteins, Escherichia coli Proteins, Proteomics
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