Drug Resistance Testing
Drug Resistance Testing - Related Videos
11:56
Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection
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Cited by 4 •
2013
Acquired resistance to antibiotics is a major public healthcare problem and is presently ranked by the WHO as one of the greatest threats to human life. Here we describe the use of cantilever technology to quantify antibacterial resistance, critical to the discovery of novel and powerful agents against multidrug resistant bacteria.
10:52
Protocols for Robust Herbicide Resistance Testing in Different Weed Species
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Cited by 22 •
2015
A robust and flexible approach to confirm herbicide resistance in weed populations is presented. This protocol allows the herbicide resistance levels to be inferred and applied to a wide range of weed species and herbicides with minor adaptations.
02:45
Bacterial Growth on a Microfluidic Chip to Study Antibiotic Drug Resistance
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2025
Source: Liu, P. C., et al. Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection. J. Vis. Exp. (2016)This video demonstrates the use of a microfluidic chip to visualize and compare the growth and morphology of wild-type and trimethoprim-resistant E. coli strains under trimethoprim antibiotic stress.
08:46
Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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Cited by 2 •
2015
Drug resistance to targeted therapeutics is widespread and the need to identify mechanisms of resistance--prior to or following clinical onset--is critical for guiding alternative clinical management strategies. Here, we present a protocol to couple derivation of drug-resistant lines in vitro with sequencing to expedite discovery of these mechanisms.
07:35
Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray
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Cited by 4 •
2014
An amplification microarray combines asymmetric PCR amplification and microarray hybridization into a single chamber, which significantly streamlines microarray workflow for the end user. Simplifying microarray workflow is a necessary first step for creating microarray-based diagnostics that can be routinely used in lower-resource environments.
FAQs
In culture-based testing, a pathogen is exposed to selected concentrations of an antimicrobial drug. Comparing its growth or survival across those concentrations indicates whether the microorganism can withstand the tested treatment conditions. This produces a susceptibility profile that can help distinguish drugs likely to be effective from those less likely to control the infection.
Molecular assays look for genetic changes associated with resistance rather than relying only on growth responses in culture. These changes can provide evidence that a microorganism may withstand particular drugs. Genetic results add a pathogen-biology perspective to susceptibility findings and can support evaluation of how microbial evolution contributes to challenges in disease control.
A resistance profile describes microbial response to drugs, but treatment outcomes also depend on the host context. Linking test results with immune status helps researchers examine how susceptibility, pathogen biology, and the ability to control infection interact. This combined view supports more informed analysis of why the same resistance finding may have different significance across infectious disease settings.
Resistance-associated genetic changes reflect microbial evolution and can alter how pathogens respond to antimicrobial treatment. Repeated testing and comparison of resistance profiles can therefore help researchers track emerging resistance patterns. In immunology and infection research, this information connects changes within pathogen populations to broader efforts to maintain disease control and limit spread.
A laboratory workflow may begin with a cultured pathogen and expose it to selected concentrations of relevant antimicrobial drugs. Alternatively, or in addition, researchers may use molecular assays to identify genetic changes associated with resistance. These complementary approaches examine resistance through observed drug response and pathogen genetics, providing distinct evidence for understanding the microorganism's profile.
Resistance profiles can guide individualized therapy by showing which tested drugs a microorganism may withstand. Clinicians and researchers can relate those findings to the infectious disease context, immune status, and treatment outcomes. This integration helps refine antimicrobial strategies for the specific infection being evaluated rather than relying only on general assumptions about drug effectiveness.
The results support several research goals, including surveillance of emerging resistance, evaluation of microbial evolution, and assessment of disease-control strategies. When combined with information about immune status and treatment outcomes, testing helps clarify how pathogen resistance affects infection management. This subject-specific context makes resistance profiles useful for studying both antimicrobial performance and host-pathogen interactions.