Diagonal Method to Measure Synergy Among Any Number of Drugs

A synergistic drug combination has a higher efficacy compared to the effects of individual drugs. Checkerboard assays, where drugs are combined in many doses, allow sensitive measurement of drug interactions. However, these assays are costly and do not scale well for measuring interaction among many drugs. Several recent studies have reported drug interaction measurements using a diagonal sampling of the traditional checkerboard assay. This alternative methodology greatly decreases the cost of drug interaction experiments and allows interaction measurement for combinations with many drugs. Here, we describe a protocol to measure the three pairwise interactions and one three-way interaction among three antibiotics in duplicate, in five days, using only three 96-well microplates and standard laboratory equipment. We present representative results showing that the three-antibiotic combination of Levofloxacin + Nalidixic Acid + Penicillin G is synergistic. Our protocol scales up to measure interactions among many drugs and in other biological contexts, allowing for efficient screens for multi-drug synergies against pathogens and tumors.

[1]  Mickael Guedj,et al.  Analysis of drug combinations: current methodological landscape , 2015, Pharmacology research & perspectives.

[2]  James J Collins,et al.  Chemogenomics and orthology‐based design of antibiotic combination therapies , 2016, Molecular systems biology.

[3]  Muhammad H. Zaman,et al.  Quantitative bioassay to identify antimicrobial drugs through drug interaction fingerprint analysis , 2017, Scientific Reports.

[4]  M. Berenbaum,et al.  A method for testing for synergy with any number of agents. , 1978, The Journal of infectious diseases.

[5]  M. Berenbaum What is synergy? , 1989, Pharmacological reviews.

[6]  Andreas Bender,et al.  Prediction of Antibiotic Interactions Using Descriptors Derived from Molecular Structure. , 2017, Journal of medicinal chemistry.

[7]  Kevin B. Wood,et al.  Pairwise interactions and the battle against combinatorics in multidrug therapies , 2016, Proceedings of the National Academy of Sciences.

[8]  Murat Cokol,et al.  Efficient measurement and factorization of high-order drug interactions in Mycobacterium tuberculosis , 2017, Science Advances.

[9]  Elif Tekin,et al.  Uncovering emergent interactions in three-way combinations of stressors , 2016, Journal of The Royal Society Interface.

[10]  Murat Cokol Drugs and their interactions. , 2013, Current drug discovery technologies.

[11]  J. Lehár,et al.  High-order combination effects and biological robustness , 2008, Molecular systems biology.

[12]  Frederick P. Roth,et al.  Target-Independent Prediction of Drug Synergies Using Only Drug Lipophilicity , 2014, J. Chem. Inf. Model..

[13]  Roy Kishony,et al.  Drug interactions and the evolution of antibiotic resistance , 2009, Nature Reviews Microbiology.

[14]  J. Lehár,et al.  Multi-target therapeutics: when the whole is greater than the sum of the parts. , 2007, Drug discovery today.

[15]  Joel Greshock,et al.  High-Order Drug Combinations Are Required to Effectively Kill Colorectal Cancer Cells. , 2016, Cancer research.

[16]  Van M. Savage,et al.  Enhanced identification of synergistic and antagonistic emergent interactions among three or more drugs , 2016, Journal of The Royal Society Interface.

[17]  S. Loewe The problem of synergism and antagonism of combined drugs. , 1953, Arzneimittel-Forschung.