Translational PK/PD of anti-infective therapeutics

Chetan Rathi, Richard E. Lee, Bernd Meibohm

Research output: Contribution to journalReview article

3 Citations (Scopus)

Abstract

Translational PK/PD modeling has emerged as a critical technique for quantitative analysis of the relationship between dose, exposure and response of antibiotics. By combining model components for pharmacokinetics, bacterial growth kinetics and concentration-dependent drug effects, these models are able to quantitatively capture and simulate the complex interplay between antibiotic, bacterium and host organism. Fine-tuning of these basic model structures allows to further account for complicating factors such as resistance development, combination therapy, or host responses. With this tool set at hand, mechanism-based PK/PD modeling and simulation allows to develop optimal dosing regimens for novel and established antibiotics for maximum efficacy and minimal resistance development.

Original languageEnglish (US)
Pages (from-to)41-49
Number of pages9
JournalDrug Discovery Today: Technologies
Volume21-22
DOIs
StatePublished - Sep 1 2016

Fingerprint

Anti-Bacterial Agents
Therapeutics
Hand
Pharmacokinetics
Bacteria
Growth
Pharmaceutical Preparations

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Molecular Medicine
  • Drug Discovery

Cite this

Translational PK/PD of anti-infective therapeutics. / Rathi, Chetan; Lee, Richard E.; Meibohm, Bernd.

In: Drug Discovery Today: Technologies, Vol. 21-22, 01.09.2016, p. 41-49.

Research output: Contribution to journalReview article

Rathi, Chetan ; Lee, Richard E. ; Meibohm, Bernd. / Translational PK/PD of anti-infective therapeutics. In: Drug Discovery Today: Technologies. 2016 ; Vol. 21-22. pp. 41-49.
@article{52cf9fd8dd444d9884e8ea85253eeb27,
title = "Translational PK/PD of anti-infective therapeutics",
abstract = "Translational PK/PD modeling has emerged as a critical technique for quantitative analysis of the relationship between dose, exposure and response of antibiotics. By combining model components for pharmacokinetics, bacterial growth kinetics and concentration-dependent drug effects, these models are able to quantitatively capture and simulate the complex interplay between antibiotic, bacterium and host organism. Fine-tuning of these basic model structures allows to further account for complicating factors such as resistance development, combination therapy, or host responses. With this tool set at hand, mechanism-based PK/PD modeling and simulation allows to develop optimal dosing regimens for novel and established antibiotics for maximum efficacy and minimal resistance development.",
author = "Chetan Rathi and Lee, {Richard E.} and Bernd Meibohm",
year = "2016",
month = "9",
day = "1",
doi = "10.1016/j.ddtec.2016.08.004",
language = "English (US)",
volume = "21-22",
pages = "41--49",
journal = "Drug Discovery Today: Technologies",
issn = "1740-6749",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Translational PK/PD of anti-infective therapeutics

AU - Rathi, Chetan

AU - Lee, Richard E.

AU - Meibohm, Bernd

PY - 2016/9/1

Y1 - 2016/9/1

N2 - Translational PK/PD modeling has emerged as a critical technique for quantitative analysis of the relationship between dose, exposure and response of antibiotics. By combining model components for pharmacokinetics, bacterial growth kinetics and concentration-dependent drug effects, these models are able to quantitatively capture and simulate the complex interplay between antibiotic, bacterium and host organism. Fine-tuning of these basic model structures allows to further account for complicating factors such as resistance development, combination therapy, or host responses. With this tool set at hand, mechanism-based PK/PD modeling and simulation allows to develop optimal dosing regimens for novel and established antibiotics for maximum efficacy and minimal resistance development.

AB - Translational PK/PD modeling has emerged as a critical technique for quantitative analysis of the relationship between dose, exposure and response of antibiotics. By combining model components for pharmacokinetics, bacterial growth kinetics and concentration-dependent drug effects, these models are able to quantitatively capture and simulate the complex interplay between antibiotic, bacterium and host organism. Fine-tuning of these basic model structures allows to further account for complicating factors such as resistance development, combination therapy, or host responses. With this tool set at hand, mechanism-based PK/PD modeling and simulation allows to develop optimal dosing regimens for novel and established antibiotics for maximum efficacy and minimal resistance development.

UR - http://www.scopus.com/inward/record.url?scp=85004168926&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85004168926&partnerID=8YFLogxK

U2 - 10.1016/j.ddtec.2016.08.004

DO - 10.1016/j.ddtec.2016.08.004

M3 - Review article

VL - 21-22

SP - 41

EP - 49

JO - Drug Discovery Today: Technologies

JF - Drug Discovery Today: Technologies

SN - 1740-6749

ER -