Cargando…

Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review

The pathophysiology of sepsis alters drug pharmacokinetics, resulting in inadequate drug exposure and target-site concentration. Suboptimal exposure leads to treatment failure and the development of antimicrobial resistance. Therefore, we seek to optimize antimicrobial therapy in sepsis by selecting...

Descripción completa

Detalles Bibliográficos
Autores principales: Sanz Codina, Maria, Zeitlinger, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095522/
https://www.ncbi.nlm.nih.gov/pubmed/35218003
http://dx.doi.org/10.1007/s40262-021-01102-1
_version_ 1784705771691311104
author Sanz Codina, Maria
Zeitlinger, Markus
author_facet Sanz Codina, Maria
Zeitlinger, Markus
author_sort Sanz Codina, Maria
collection PubMed
description The pathophysiology of sepsis alters drug pharmacokinetics, resulting in inadequate drug exposure and target-site concentration. Suboptimal exposure leads to treatment failure and the development of antimicrobial resistance. Therefore, we seek to optimize antimicrobial therapy in sepsis by selecting the right drug and the correct dosage. A prerequisite for achieving this goal is characterization and understanding of the mechanisms of pharmacokinetic alterations. However, most infections take place not in blood but in different body compartments. Since tissue pharmacokinetic assessment is not feasible in daily practice, we need to tailor antibiotic treatment according to the specific patient’s pathophysiological processes. The complex pathophysiology of sepsis and the ineffectiveness of current targeted therapies suggest that treatments guided by biomarkers predicting target-site concentration could provide a new therapeutic strategy. Inflammation, endothelial and coagulation activation markers, and blood flow parameters might be indicators of impaired tissue distribution. Moreover, hepatic and renal dysfunction biomarkers can predict not only drug metabolism and clearance but also drug distribution. Identification of the right biomarkers can direct drug dosing and provide timely feedback on its effectiveness. Therefore, this might decrease antibiotic resistance and the mortality of critically ill patients. This article fills the literature gap by characterizing patient biomarkers that might be used to predict unbound plasma-to-tissue drug distribution in critically ill patients. Although all biomarkers must be clinically evaluated with the ultimate goal of combining them in a clinically feasible scoring system, we support the concept that the appropriate biomarkers could be used to direct targeted antibiotic dosing. GRAPHICAL ABSTRACT: [Figure: see text]
format Online
Article
Text
id pubmed-9095522
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-90955222022-05-13 Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review Sanz Codina, Maria Zeitlinger, Markus Clin Pharmacokinet Review Article The pathophysiology of sepsis alters drug pharmacokinetics, resulting in inadequate drug exposure and target-site concentration. Suboptimal exposure leads to treatment failure and the development of antimicrobial resistance. Therefore, we seek to optimize antimicrobial therapy in sepsis by selecting the right drug and the correct dosage. A prerequisite for achieving this goal is characterization and understanding of the mechanisms of pharmacokinetic alterations. However, most infections take place not in blood but in different body compartments. Since tissue pharmacokinetic assessment is not feasible in daily practice, we need to tailor antibiotic treatment according to the specific patient’s pathophysiological processes. The complex pathophysiology of sepsis and the ineffectiveness of current targeted therapies suggest that treatments guided by biomarkers predicting target-site concentration could provide a new therapeutic strategy. Inflammation, endothelial and coagulation activation markers, and blood flow parameters might be indicators of impaired tissue distribution. Moreover, hepatic and renal dysfunction biomarkers can predict not only drug metabolism and clearance but also drug distribution. Identification of the right biomarkers can direct drug dosing and provide timely feedback on its effectiveness. Therefore, this might decrease antibiotic resistance and the mortality of critically ill patients. This article fills the literature gap by characterizing patient biomarkers that might be used to predict unbound plasma-to-tissue drug distribution in critically ill patients. Although all biomarkers must be clinically evaluated with the ultimate goal of combining them in a clinically feasible scoring system, we support the concept that the appropriate biomarkers could be used to direct targeted antibiotic dosing. GRAPHICAL ABSTRACT: [Figure: see text] Springer International Publishing 2022-02-25 2022 /pmc/articles/PMC9095522/ /pubmed/35218003 http://dx.doi.org/10.1007/s40262-021-01102-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Review Article
Sanz Codina, Maria
Zeitlinger, Markus
Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review
title Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review
title_full Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review
title_fullStr Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review
title_full_unstemmed Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review
title_short Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review
title_sort biomarkers predicting tissue pharmacokinetics of antimicrobials in sepsis: a review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095522/
https://www.ncbi.nlm.nih.gov/pubmed/35218003
http://dx.doi.org/10.1007/s40262-021-01102-1
work_keys_str_mv AT sanzcodinamaria biomarkerspredictingtissuepharmacokineticsofantimicrobialsinsepsisareview
AT zeitlingermarkus biomarkerspredictingtissuepharmacokineticsofantimicrobialsinsepsisareview