Literature DB >> 32569617

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

Anders Thorsted1, Elisabet I Nielsen1, Lena E Friberg2.   

Abstract

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.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bacterial infection; Biomarker; Immune response; PK/PD modelling; Pharmacodynamics; Translation

Mesh:

Substances:

Year:  2020        PMID: 32569617     DOI: 10.1016/j.ijantimicag.2020.106059

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  7 in total

1.  The Diagnostic Value of Fe3+ and Inflammation Indicators in the Death of Sepsis Patients: A Retrospective Study of 428 Patients.

Authors:  Jia Wang; Junyu Wang; Bing Wei
Journal:  Ther Clin Risk Manag       Date:  2021-01-15       Impact factor: 2.423

Review 2.  Review of Scavenged Sampling for Sustainable Therapeutic Drug Monitoring: Do More With Less.

Authors:  Stef Schouwenburg; Robin F J van der Klip; Tim J L Smeets; Nicole G M Hunfeld; Robert B Flint; Matthijs de Hoog; Henrik Endeman; Birgit C P Koch; Enno D Wildschut; Alan Abdulla
Journal:  Ther Drug Monit       Date:  2022-02-01       Impact factor: 3.118

Review 3.  Application of Semi-Mechanistic Pharmacokinetic and Pharmacodynamic Model in Antimicrobial Resistance.

Authors:  Kun Mi; Kaixiang Zhou; Lei Sun; Yixuan Hou; Wenjin Ma; Xiangyue Xu; Meixia Huo; Zhenli Liu; Lingli Huang
Journal:  Pharmaceutics       Date:  2022-01-21       Impact factor: 6.321

4.  Correlative proteomics identify the key roles of stress tolerance strategies in Acinetobacter baumannii in response to polymyxin and human macrophages.

Authors:  Zhi Ying Kho; Mohammad A K Azad; Mei-Ling Han; Yan Zhu; Cheng Huang; Ralf B Schittenhelm; Thomas Naderer; Tony Velkov; Joel Selkrig; Qi Tony Zhou; Jian Li
Journal:  PLoS Pathog       Date:  2022-03-01       Impact factor: 6.823

Review 5.  Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review.

Authors:  Maria Sanz Codina; Markus Zeitlinger
Journal:  Clin Pharmacokinet       Date:  2022-02-25       Impact factor: 5.577

6.  Changes in Biomarkers and Hemodynamics According to Antibiotic Susceptibility in a Model of Bacteremia.

Authors:  Inwon Park; Dongsung Kim; Jae Hyuk Lee; Sung Jin Park; Hwain Jeong; Sumin Baek; Seonghye Kim; Serin Kim; Ji Eun Hwang; Hyuksool Kwon; Joo H Kang; You Hwan Jo
Journal:  Microbiol Spectr       Date:  2022-07-11

Review 7.  Predicting Antimicrobial Activity at the Target Site: Pharmacokinetic/Pharmacodynamic Indices versus Time-Kill Approaches.

Authors:  Wisse van Os; Markus Zeitlinger
Journal:  Antibiotics (Basel)       Date:  2021-12-04
  7 in total

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