ArticleEuropean journal of drug metabolism and pharmacokinetics2025
Host Biomarkers and Antibiotic Tissue Penetration in Sepsis: Insights from Moxifloxacin.
Article in European journal of drug metabolism and pharmacokinetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Density functional theory‑elucidated α-ZrP/phosphorus-nitrogen co-doped hollow carbon spheres composite for highly sensitive electrochemical detection of moxifloxacin.Mikrochimica acta · 2026Article
- From Tears to Toxins: Mapping Antibiotic Passage Through the Eye-Liver Axis.Antibiotics (Basel, Switzerland) · 2025Review
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3 authors.
Funding
Abstract
BACKGROUND AND
objectiveSepsis-induced pathophysiological changes may lead to pharmacokinetic variability which alters antibiotic concentrations at the host infection site. This poses a challenge in clinical practice, as sufficient antibiotic concentrations in tissue are necessary to effectively eradicate bacterial pathogens. In this exploratory study, we aimed to evaluate the potential of routinely used laboratory biomarkers to predict subcutaneous and muscle tissue penetration of moxifloxacin in septic patients.
methodsWe retrospectively analyzed data from 10 septic patients included in a pharmacokinetic study, in which moxifloxacin concentrations in subcutaneous adipose and muscle tissues were measured with microdialysis. We correlated the tissue-to-plasma ratio and protein binding with various clinical biomarkers.
resultsOur results revealed significant correlations for CRP, LDH, BUN, GPT, and total protein with moxifloxacin subcutaneous penetration, and BUN, GOT, and GPT with muscle penetration. Notably, all biomarkers except CRP correlated negatively with tissue penetration. Moreover, we found a positive correlation between moxifloxacin protein binding and total plasma proteins and albumin.
conclusionBiomarker tissue correlations suggest that the penetration of moxifloxacin into tissues is a complex process influenced by factors like inflammation, tissue integrity, liver function, protein levels, and renal function. Understanding these interactions might help optimize antibiotic dosing strategies.
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