Translational Model to Predict Lung and Prostate Distribution of Levofloxacin in Humans

<b>Background/Objectives:</b> Levofloxacin (LVX) is a fluoroquinolone approved for the treatment of bacterial pneumonia, sinusitis, and prostatitis. Emerging in vitro and preclinical evidence suggests that efflux transporters are involved in LVX's target tissue site distribution. <b>Methods</b>: The objective of this research was to characterize tissue exposure using a physiologically based pharmacokinetic (PBPK) model to be able to make more educated choices for optimal doses using target site pharmacokinetics data. <b>Results</b>: The final PBPK model in humans was applied to simulate free target site concentrations of LVX in lung and prostate, linking to minimum inhibitory concentrations (MIC) to assess appropriateness of currently approved dosing regimens for infections in both tissues. The clinical PBPK model was able to reproduce total plasma as well as free lung and prostate exposure of LVX in humans. Efflux transporters participate in LVX distribution to prostatic but not pulmonary tissue. Our results show a good penetration of LVX in both tissues with unbound partition coefficient (Kp,uu) equal to 0.79 and 0.72 for lung and prostate, respectively. Since LVX penetration in lung and prostate is similar, different sensitivities of the pathogens to LVX will dictate the effectiveness of the approved therapeutic regimen in the treatment of bacterial pneumonia, sinusitis, and prostatitis. <b>Conclusions</b>: Our research provides relevant insight into LVX's target site exposure in lung and prostate. When integrated with pathogen-specific susceptibility data, these findings can be applied to refine current dosing regimens and help optimize the pharmacological treatment outcomes.

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Publication Details

Journal
Pharmaceutics
Published
2026-01-13
DOI
https://doi.org/10.3390/pharmaceutics18010107
Primary Topic
Antibiotics Pharmacokinetics and Efficacy
Type
article
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article

Translational Model to Predict Lung and Prostate Distribution of Levofloxacin in Humans

Mohammed Almoslem, Brian Cicali, Estevan Sonego Zimmermann, Stephan Schmidt et al.
Pharmaceutics
Antibiotics Pharmacokinetics and Efficacy
article

Translational Model to Predict Lung and Prostate Distribution of Levofloxacin in Humans

Mohammed Almoslem, Brian Cicali, Estevan Sonego Zimmermann, Stephan Schmidt, Teresa Dalla Costa, Rodrigo Cristofoletti
article en

Abstract

<b>Background/Objectives:</b> Levofloxacin (LVX) is a fluoroquinolone approved for the treatment of bacterial pneumonia, sinusitis, and prostatitis. Emerging in vitro and preclinical evidence suggests that efflux transporters are involved in LVX's target tissue site distribution. <b>Methods</b>: The objective of this research was to characterize tissue exposure using a physiologically based pharmacokinetic (PBPK) model to be able to make more educated choices for optimal doses using target site pharmacokinetics data. <b>Results</b>: The final PBPK model in humans was applied to simulate free target site concentrations of LVX in lung and prostate, linking to minimum inhibitory concentrations (MIC) to assess appropriateness of currently approved dosing regimens for infections in both tissues. The clinical PBPK model was able to reproduce total plasma as well as free lung and prostate exposure of LVX in humans. Efflux transporters participate in LVX distribution to prostatic but not pulmonary tissue. Our results show a good penetration of LVX in both tissues with unbound partition coefficient (Kp,uu) equal to 0.79 and 0.72 for lung and prostate, respectively. Since LVX penetration in lung and prostate is similar, different sensitivities of the pathogens to LVX will dictate the effectiveness of the approved therapeutic regimen in the treatment of bacterial pneumonia, sinusitis, and prostatitis. <b>Conclusions</b>: Our research provides relevant insight into LVX's target site exposure in lung and prostate. When integrated with pathogen-specific susceptibility data, these findings can be applied to refine current dosing regimens and help optimize the pharmacological treatment outcomes.

PharmaceuticsVol. 18(1)
Universidade Federal do Rio Grande do Sul (BR), University of Florida (US), Certara (United States) (US)
Good health and well-being
Openalex Percentile: Top 87%
Antibiotics Pharmacokinetics and Efficacy
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