Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Antimicrobial Effectiveness01:28

Antimicrobial Effectiveness

The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
Bacterial Growth Curve01:28

Bacterial Growth Curve

The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Informing Sampling Design for Lung Distribution Studies Using a Pulmonary Population Minimal PBPK Model.

Clinical pharmacokinetics·2026
Same author

Evaluating neoantigen-vaccine responses through mechanistic and model-based frameworks.

NPJ precision oncology·2026
Same author

A glimpse into the future of model-informed drug discovery and development.

Advanced drug delivery reviews·2026
Same author

Unbound cloxacillin plasma concentrations in relation to toxicity and renal function: protocol for a prospective, observational clinical trial in a real-world <i>Staphylococcus aureus</i> bacteraemia population.

BMJ open·2026
Same author

Evaluation of sNfL as a Biomarker for Paclitaxel-Induced Peripheral Neurotoxicity Through an Integrated PKPD Model.

Pharmaceutical research·2026
Same author

Model-based quantification of immune response and anti-staphylococcal activity of afabicin in immunocompetent mouse thigh infections to enable predictions of clinical efficacy.

Antimicrobial agents and chemotherapy·2026

Related Experiment Video

Updated: Jun 3, 2025

Metabolic Profiling to Determine Bactericidal or Bacteriostatic Effects of New Natural Products using Isothermal Microcalorimetry
07:28

Metabolic Profiling to Determine Bactericidal or Bacteriostatic Effects of New Natural Products using Isothermal Microcalorimetry

Published on: October 29, 2020

8.6K

Plasma effects on bacterial time-kill dynamics: Insights from a PK/PD modelling analysis.

Salma M Bahnasawy1, Hifza Ahmed2, Markus Zeitlinger2

  • 1Department of Pharmacy, Uppsala University, Uppsala, Sweden.

International Journal of Antimicrobial Agents
|January 8, 2025
PubMed
Summary

Human plasma significantly alters antibiotic efficacy in vitro, impacting pharmacokinetic-pharmacodynamic (PKPD) characterization. Incorporating plasma into time-kill curve experiments improves the prediction of antibiotic activity in vivo.

Keywords:
Pharmacokinetics-pharmacodynamics (PKPD)Plasma protein binding (PPB)Time-kill curve (TKC)

More Related Videos

Population and Single-Cell Analysis of Antibiotic Persistence in Escherichia coli
12:29

Population and Single-Cell Analysis of Antibiotic Persistence in Escherichia coli

Published on: March 24, 2023

1.8K
Antimicrobial Synergy Testing by the Inkjet Printer-assisted Automated Checkerboard Array and the Manual Time-kill Method
12:03

Antimicrobial Synergy Testing by the Inkjet Printer-assisted Automated Checkerboard Array and the Manual Time-kill Method

Published on: April 18, 2019

26.0K

Related Experiment Videos

Last Updated: Jun 3, 2025

Metabolic Profiling to Determine Bactericidal or Bacteriostatic Effects of New Natural Products using Isothermal Microcalorimetry
07:28

Metabolic Profiling to Determine Bactericidal or Bacteriostatic Effects of New Natural Products using Isothermal Microcalorimetry

Published on: October 29, 2020

8.6K
Population and Single-Cell Analysis of Antibiotic Persistence in Escherichia coli
12:29

Population and Single-Cell Analysis of Antibiotic Persistence in Escherichia coli

Published on: March 24, 2023

1.8K
Antimicrobial Synergy Testing by the Inkjet Printer-assisted Automated Checkerboard Array and the Manual Time-kill Method
12:03

Antimicrobial Synergy Testing by the Inkjet Printer-assisted Automated Checkerboard Array and the Manual Time-kill Method

Published on: April 18, 2019

26.0K

Area of Science:

  • Pharmacology
  • Microbiology
  • Biochemistry

Background:

  • In vitro time-kill curve (TKC) experiments are crucial for antibiotic pharmacokinetic-pharmacodynamic (PKPD) characterization.
  • Traditional TKCs using Mueller-Hinton broth (MHB) may not accurately reflect in vivo conditions due to the absence of plasma components.

Purpose of the Study:

  • To evaluate the impact of human plasma on the PKPD characterization of cefazolin and clindamycin using TKC experiments.
  • To assess how plasma influences bacterial growth and killing dynamics in the presence of antibiotics.

Main Methods:

  • TKC experiments were performed in pure MHB and MHB supplemented with 20% and 70% human plasma.
  • Pharmacokinetic-pharmacodynamic (PKPD) models were developed using data from pure MHB.
  • Plasma protein binding (PPB) data were incorporated, and drug effect models were adjusted for plasma-spiked conditions.

Main Results:

  • PKPD models developed in pure MHB inadequately described bacterial growth and killing in plasma-spiked MHB.
  • Plasma induced a growth delay for both cefazolin and clindamycin, with longer delays observed at higher plasma concentrations.
  • Antibiotic effect was enhanced in plasma, with stasis/killing occurring at lower unbound concentrations, necessitating parameter scaling.

Conclusions:

  • Human plasma significantly alters bacterial growth and antibiotic killing dynamics compared to pure MHB.
  • Incorporating plasma into in vitro TKC experiments is essential for improving the translational relevance of PKPD models to in vivo antibiotic efficacy.
  • This study highlights the importance of considering physiological matrix effects in antimicrobial PKPD studies.