ArticlemBio2021
Interaction Tolerance Detection Test for Understanding the Killing Efficacy of Directional Antibiotic Combinations.
Article in mBio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Quinolone tolerance inmLife · 2026Article
- Agricultural SDHIs Induce Azole Resistance in Aspergillus fumigatus via Mitochondrial Sdh1 Suppression.Mycopathologia · 2025Article
- Broad-spectrum tolerance to disinfectant-mediated bacterial killing due to mutation of the PheS aminoacyl tRNA synthetase.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Antibiotic tolerance among clinical isolates: mechanisms, detection, prevalence, and significance.Clinical microbiology reviews · 2024Review
- An Overview of SARS-CoV-2 Potential Targets, Inhibitors, and Computational Insights to Enrich the Promising Treatment Strategies.Current microbiology · 2024Review
- Efficacy Assessment of the Co-Administration of Vancomycin and Metronidazole inJournal of microbiology and biotechnology · 2024Article
- Effects of osmotic stress onItalian journal of food safety · 2023Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Combination treatments are commonly prescribed for enhancing drug efficacy, as well as for preventing the evolution of resistance. The interaction between drugs is typically evaluated near the MIC, using growth rate as a measure of treatment efficacy. However, for infections in which the killing activity of the treatment is important, measurements far above the MIC are needed. In this regime, the killing rate often becomes weakly concentration dependent, and a different metric is needed to characterize drug interactions. We evaluate the interaction metric on killing using an easy visual assay, the interaction tolerance detection test (iTDtest), that estimates the survival of bacteria under antibiotic combinations. We identify antibiotic combinations that enable the eradication of tolerant bacteria. Furthermore, the visualization of the antibiotic interactions reveals directional drug interactions and enables predicting high-order combination outcomes, therefore facilitating the determination of optimal treatments.
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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.