Pharmacodynamics of immune response biomarkers of interest for evaluation of treatment effects in bacterial infections.


Journal

International journal of antimicrobial agents
ISSN: 1872-7913
Titre abrégé: Int J Antimicrob Agents
Pays: Netherlands
ID NLM: 9111860

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 03 12 2019
revised: 27 05 2020
accepted: 13 06 2020
pubmed: 23 6 2020
medline: 20 5 2021
entrez: 23 6 2020
Statut: ppublish

Résumé

This mini-review discusses the pharmacodynamics of immune-related biomarkers in the area of bacterial infectious diseases that could be of interest from a pharmacokinetic (PK) and pharmacokinetic/pharmacodynamic (PK/PD) perspective in the evaluation of treatment effects. The host response to an infection is often poorly defined both in preclinical assessments and in clinical practice when it comes to characterisation of PK and PK/PD relationships. Through population modelling, the time courses and variability of immune response variables can be quantified. Incorporation of such biomarker information into PK and PK/PD models may guide the evaluation of individual response to treatment (right antibiotic, more antibiotic, less antibiotic) and when to stop treatment. Furthermore, translation of results from preclinical systems to clinical scenarios may be improved with the incorporation of biomarker information. Potential biomarkers for these purposes are discussed and a few modelling examples are provided.

Identifiants

pubmed: 32569617
pii: S0924-8579(20)30229-6
doi: 10.1016/j.ijantimicag.2020.106059
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0
Biomarkers 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

106059

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Anders Thorsted (A)

Pharmacometrics, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.

Elisabet I Nielsen (EI)

Pharmacometrics, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.

Lena E Friberg (LE)

Pharmacometrics, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden. Electronic address: lena.friberg@farmbio.uu.se.

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Classifications MeSH