Antibiotic Synergy Analysis
Antibiotic Synergy Analysis - Related Videos
13:39
Antibiotic Susceptibility Testing: Epsilometer Tests to Determine MIC Values of Two Antibiotics and Evaluate Antibiotic Synergy
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2023
Source: Anna Bläckberg1, Rolf Lood1 1 Department of Clinical Sciences Lund, Division of Infection Medicine, Biomedical Center, Lund University, 221 00 Lund Sweden Knowledge of the interactions between antibiotics and bacteria is important in understanding how microbes evolve antibiotic resistance. In 1928, Alexander Fleming discovered penicillin, an antibiotic that exerts its antibacterial function by interfering with cell wall regeneration (1). Other antibiotics with diverse mechanisms of...
03:16
Isolation of Antibiotic-Resistant Bacteria from a Water Sample for Molecular Analysis
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2025
Source: Ghadigaonkar, D. and Rath, A. Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes. J. Vis. Exp. (2023)This video demonstrates the isolation and preparation of antibiotic-resistant bacteria from a water sample using selective media. The DNA is extracted from antibiotic-resistant bacteria and amplified to identify the bacterial antibiotic-resistant genes.
01:30
Gains from Acquisition: Synergy
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2025
Synergies in corporate acquisitions represent the additional value generated when two companies combine, exceeding the sum of their independent contributions. These synergies typically arise from cost efficiencies, revenue growth, and strategic advantages. Financially, synergy is measured as the Net Present Value (NPV) of future benefits minus integration costs, reflecting the post-acquisition increase in value. Cost synergies are achieved by streamlining operations, eliminating redundancies,...
12:08
Diagonal Method to Measure Synergy Among Any Number of Drugs
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Cited by 37 •
2018
In this protocol, we describe how to make Loewe additivity-based drug interaction measurements for pairwise and three-way drug combinations.
10:49
Antibiotic Dereplication Using the Antibiotic Resistance Platform
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Cited by 2 •
2019
We describe a platform that utilizes a library of isogenic antibiotic resistant Escherichia coli for the dereplication of antibiotics. The identity of an antibiotic produced by bacteria or fungi can be deduced by the growth of E. coli expressing its respective resistance gene. This platform is economically effective and time-efficient.
FAQs
Complementary action can occur when antibiotics affect different bacterial cellular targets or improve access to processes that another drug can influence. These interactions may increase inhibition or killing beyond what either compound achieves independently. Identifying the underlying relationship helps researchers interpret why a pairing performs well and whether it merits further antimicrobial investigation.
Growth inhibition and bacterial killing describe different experimental outcomes. A combination may strongly restrict multiplication without producing the same degree of killing, so measuring both provides a broader view of its activity. Comparing these outcomes with the effects of individual antibiotics helps distinguish a pairing that mainly suppresses growth from one that more effectively eliminates bacteria.
The fractional inhibitory concentration index, or FIC index, summarizes how the concentrations required for activity change when antibiotics are tested together. It provides a quantitative way to compare the combination with each drug used alone. Researchers can therefore use the index alongside growth or killing measurements rather than relying on a single experimental observation.
Antibiotic combinations should be examined across varying concentrations because activity can change as the amount of each drug changes. Testing a range reveals whether the observed response is consistent across conditions or limited to a particular concentration relationship. This approach supports more careful comparisons of inhibition, killing, and fractional inhibitory concentration results.
Researchers expose bacterial cultures to selected concentrations of each antibiotic alone and in combination. They then measure outcomes such as growth inhibition or bacterial killing and compare the combined response with the individual-drug responses. Calculating or examining the fractional inhibitory concentration index can add a quantitative summary of the interaction observed across the tested conditions.
Results indicate whether a drug pairing produces stronger antibacterial activity than either component alone under the tested conditions. Measurements may show enhanced inhibition, increased killing, or concentration relationships reflected in the FIC index. These findings help characterize the combination’s performance, while also showing which outcome was actually improved by the pairing.
In biology, the approach helps investigators identify promising antibiotic combinations and optimize treatment strategies. It is particularly relevant when reduced bacterial susceptibility makes individual drugs less effective or when researchers are examining pairings that may limit resistance development. The analysis supplies experimental evidence for deciding which combinations deserve additional study.