Table 1 Common antimicrobial sensitivity testing methods

From: Effect of host microenvironment and bacterial lifestyles on antimicrobial sensitivity and implications for susceptibility testing

Test

Definition

Advantages

Disadvantages

Phenotypic Antimicrobial Sensitivity Testing (AST)

Minimum Inhibitory Concentration (MIC)

• Lowest concentration of an antibiotic that causes visible inhibition of bacterial growth12

• The broth microdilution method is the gold standard in the clinics116,117

• Easy, low cost and high-throughput methodology118,119

• Easy to standardise118,119

• Informative for clinical decision-making118,119

• Fails to discriminate between bacteriostatic and bactericidal120,121

• Static assay: cannot replicate complex dynamic interactions of human infections122

• Does not recapitulate infection microenvironment (host-pathogen interactions)123

• Requires previous bacterial isolation step, and bacterial growth required to read out (24h-48h)124

• Cannot distinguish if any resistance stems from planktonic or biofilm growth16,95

Minimum Bactericidal Concentration (MBC)

• Lowest concentration of antibiotic that causes a killing >99.9% of the bacterial population125

• Typically determined by colony forming unit (CFU) enumeration

• Low cost methodology118,119

• Easy to standardise16

• Discriminates between bacteriostatic and bactericidal120

• MBC/MIC ratios historically used to measure tolerance120

• Static system: cannot replicate complex dynamic interactions of human infections124

• Does not recapitulate infection microenvironment (host-pathogen interactions)123

• Requires previous bacterial isolation step and bacterial growth. and an additional step for CFU determination (2-3 days)124

• Cannot distinguish if any resistance stems from planktonic or biofilm growth16,95

Time-killing assay

• Bacterial population dynamics over time in the presence of antibiotic concentrations126

• Provides dynamics of microbial killing over time121

• Discriminates between bacteriostatic and bactericidal effects121

• Can be used to determine tolerance14

• Killing mechanism can be classified as time- or concentration-dependent126

• Requires multiple time points, each involving sampling, dilution and plating127

• Does not recapitulate infection microenvironment (host-pathogen interactions)123

• Does not directly identify mechanisms of resistance nor how bacteria may evolve to resist the antimicrobial agent

• Only planktonic bacteria are tested, which may overestimate efficacy of antimicrobial agent compared with biofilms16,95

Pharmaco-kinetics/ Pharmaco-dynamics (PK/PD)

• Dynamic method allowing the addition of oxygen/ nutrient or drugs in a specific rate (dosing) to mimic an in vivo scenario128

• Typically involves a system of containers, tubing and a pump e.g. the hollow fibre bioreactor129

• Provides dynamics of microbial killing over time130

• Controls critical parameters (multiple drug doses over time)130

• Mimic some conditions found in human body, so a more accurate representation of antimicrobial effect130,131

• Requires multiple time points, each involving sampling, dilution and plating130

• While US FDA has approved hollow fibre bioreactor for in vivo-like studies, it does not fully capture the complexities of the human body130

Omics based-AST methods

Nucleic acid amplification tests (NAATs)

• Allow the identification of bacterial species and known antibiotic resistance genes

• PCR and quantitative PCR (qPCR) are the most common methods used132

• Rapidness and automation124,133

• Leads to an earlier diagnosis

• DNA isolation and purification required

• Only known resistance mechanism can be detected124

• Elevated cost of specialist equipment

• The identified AMR genes may not be directly associated with the pathogen responsible for the disease, or the detected resistance gene might not be functional124

Whole genome sequencing (WGS)

• Identifies pathogens (strain level) and predicts antimicrobial susceptibility from bacterial DNA sequences119

• Samples can be obtained directly from bodily fluids/ tissues (no bacterial culture required, significantly reducing readout time)134

• Allows study of bacterial evolution and data surveillance135

• Provides extensive characterization of resistance markers, plasmid replicons and virulence factors135

• Elevated cost of specialist equipment124,135

• Complex-associated bioinformatics increases turnaround time124

• No guarantee that flagged resistance genes expressed in all situations, nor that bacteria was alive136

• Resistance gene must be known to detect it137.

• 2015 European Committee on Antimicrobial Susceptibility Testing (EUCAST) subcommittee concluded that evidence for WGS in establishing antimicrobial susceptibility was poor; absence of standardized protocols and guidelines confounds accurate/ consistent interpretation of results in the clinic124,138

Mass spectrometry time-of-flight (MALDI-TOF)

• Analyses molecular composition of proteins/ peptides by measuring their mass-to-charge ratio, can identify certain biomarkers at molecular level. When combined with a reference database, can be used to identify a pathogen and its resistance profile139,140

• Has transformed microorganism identification in routine clinical microbiology141

• Elevated cost of specialist equipment139,140

• Requires prior growth of a colony (additional time required)139,140

• Method usually coupled with an MIC assay, so certain limitations inherent in MICs are extrapolated to this methodology142