ArticlePLoS biology2020
CombiANT: Antibiotic interaction testing made easy.
Article in PLoS biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 44 citations in OpenAlex.
- Robust antibiotic sensitization of pathogenic Pseudomonas aeruginosa via negative hysteresis in the cell envelope.Nature communications · 2026Article
- Reclaiming the Microbial Battlefield: Adjuvant Strategies to Overcome Antibiotic Resistance.Microorganisms · 2026Review
- Determination of phytocompounds and their role in inhibition of efflux pump-related resistance in Pseudomonas aeruginosa PA7.Folia microbiologica · 2026Article
- Single Daily versus Multiple-Daily Sputum Cultures for Guiding Antibiotic Therapy in ICU Patients with Pulmonary Infections: A Retrospective Cohort Study.Infection and drug resistance · 2026Article
- Fast detection of synergy and antagonism in antifungal combinations used against Candida albicans clinical isolates.Scientific reports · 2025Article
- Nitrofurantoin-Aminoglycoside Synergy Against Common Uropathogens Evaluated by Disc Diffusion: A Pilot Study.Microorganisms · 2025Article
- Personalised bactericidal combination regimens against carbapenem-resistant Pseudomonas aeruginosa.Communications medicine · 2025Article
- CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions.PLOS digital health · 2025Article
- Antibiotic killing of drug-induced bacteriostatic cells.Antimicrobial agents and chemotherapy · 2025Article
- Microbial community interactions on a chip.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Wiring Between Close Nodes in Molecular Networks Evolves More Quickly Than Between Distant Nodes.Molecular biology and evolution · 2024Article
- Quantitative imaging of doxorubicin diffusion and cellular uptake in biomimetic gels with human liver tumor cells.Drug delivery and translational research · 2024Article
- Article
- Artificial intelligence applications in the diagnosis and treatment of bacterial infections.Frontiers in microbiology · 2024Review
- Synergy Assessment of Four Antimicrobial Bioactive Compounds for the Combinational Treatment of Bacterial Pathogens.Biomedicines · 2023Article
- Development of a Polymicrobial Checkerboard Assay as a Tool for Determining Combinatorial Antibiotic Effectiveness in Polymicrobial Communities.Antibiotics (Basel, Switzerland) · 2023Article
- Hydrocinnamic Acid and Perillyl Alcohol Potentiate the Action of Antibiotics againstAntibiotics (Basel, Switzerland) · 2023Article
- Nitrofurantoin: properties and potential in treatment of urinary tract infection: a narrative review.Frontiers in cellular and infection microbiology · 2023Review
- The antimicrobial resistance crisis needs action now.PLoS biology · 2022Article
- The physiology and genetics of bacterial responses to antibiotic combinations.Nature reviews. Microbiology · 2022Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibiotic combination therapies are important for the efficient treatment of many types of infections, including those caused by antibiotic-resistant pathogens. Combination treatment strategies are typically used under the assumption that synergies are conserved across species and strains, even though recent results show that the combined treatment effect is determined by specific drug-strain interactions that can vary extensively and unpredictably, both between and within bacterial species. To address this problem, we present a new method in which antibiotic synergy is rapidly quantified on a case-by-case basis, allowing for improved combination therapy. The novel CombiANT methodology consists of a 3D-printed agar plate insert that produces defined diffusion landscapes of 3 antibiotics, permitting synergy quantification between all 3 antibiotic pairs with a single test. Automated image analysis yields fractional inhibitory concentration indices (FICis) with high accuracy and precision. A technical validation with 3 major pathogens, Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus, showed equivalent performance to checkerboard methodology, with the advantage of strongly reduced assay complexity and costs for CombiANT. A synergy screening of 10 antibiotic combinations for 12 E. coli urinary tract infection (UTI) clinical isolates illustrates the need for refined combination treatment strategies. For example, combinations of trimethoprim (TMP) + nitrofurantoin (NIT) and TMP + mecillinam (MEC) showed synergy, but only for certain individual isolates, whereas MEC + NIT combinations showed antagonistic interactions across all tested strains. These data suggest that the CombiANT methodology could allow personalized clinical synergy testing and large-scale screening. We anticipate that CombiANT will greatly facilitate clinical and basic research of antibiotic synergy.
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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.