Literature DB >> 34982408

Authors' Reply to De Sutter, De Waele, and Vermeulen: "Penetration of Antibacterial Agents into Pulmonary Epithelial Lining Fluid: An Update".

Emily N Drwiega1, Keith A Rodvold2.   

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Year:  2022        PMID: 34982408      PMCID: PMC8724654          DOI: 10.1007/s40262-021-01101-2

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   5.577


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Dear Editor, We thank De Sutter, De Waele, and Vermeulen for their comments and interest regarding our publication on the penetration of antibacterial agents into pulmonary epithelial lining fluid (ELF) [1, 2]. We agree that a timely review of this highly relevant topic was needed as a significant number of published studies occurred during the past decade and new antibacterial drug development programs are incorporating these clinical observations [2-4]. As we outlined, most of the intrapulmonary penetration studies have been conducted in healthy adult subjects using bronchoalveolar lavage to determine whether an antibacterial agent penetrated into ELF and in what amount [2, 5, 6]. Currently, there are a limited number of bronchoalveolar lavage studies measuring ELF concentrations in critically ill patients secondary to the practical and ethical issues associated with such research [2, 5]. We appreciate and applaud the authors’ interest in physiologically based pharmacokinetic (PBPK) models and non-invasive sampling techniques for studying intrapulmonary concentrations in critically ill patients. The application of PBPK modeling has advanced over the last two decades and serves as another option for modeling and simulating concentration–time data using physiological and mechanistic approaches, in vitro information, and in silico methods [7]. This sophisticated and potentially complex analysis is being employed by academic, regulatory, and industry investigators to address drug selection and system-specific development issues (e.g., study design, first-in-human dosing, various dosage formulations, drug–drug interactions, and pharmacokinetic variability) in different patient populations even when drug exposure data may be difficult to determine [7, 8]. Several recently published manuscripts have documented the usefulness of PBPK modeling to predict systemic and pulmonary ELF exposure of antibacterial agents, including drugs being repurposed for COVID-19 [9-12]. When we first started conducting intrapulmonary penetration studies almost 30 years ago, lung tissue homogenates and comparison with concomitant plasma concentrations were still being advocated [13, 14]. Since that time, the paradigm has shifted to measuring specific sites of where bacterial lung infections occur (i.e., extracellular and intracellular drug concentrations), assessing in vivo pharmacodynamics of antibacterial agents in animal infection models, and applying population pharmacokinetic-pharmacodynamic modeling and simulation for developing dosage regimens applicable to both research studies and/or clinical practice [2, 4, 5]. We acknowledge that measuring ELF concentrations and population-pharmacokinetic modeling are not a panacea for understanding intrapulmonary penetration of antibacterial agents and ensuring clinical success for the treatment of bacterial pneumonia. However, this current approach has advanced the importance of drug exposure in the lung and assisted in the dose selection of new (and old) antibacterial agents. There is little doubt that the collection of site concentrations in critically ill patients is challenging and one of the major limitations of why there is limited ELF concentration–time data during drug development programs. Non-invasive techniques would surely improve the opportunities to collect lung concentrations to assist in the optimal design of dosage regimens for the treatment of critically ill patients with hospital-acquired and ventilator-associated bacterial pneumonia. The use of exhaled breath condensate has already been used for non-invasive evaluation of lung diseases [15]. The combination of exhaled breath condensate samples with nanobiosensor sensitive analytical techniques and/or endogenous dilution markers (i.e., urea) should improve quantification issues of antibacterial concentrations [16-18]. However, further validation of these techniques will be needed and comparison to other sample collection methods of assessing intrapulmonary drug concentrations should be considered. Using real-world exhaled breath condensate concentrations and clinical information to perform PBPK modeling will however be challenging, appealing for critically ill patients during (and after) the drug development program for antibacterial agents. We encourage these types of investigations for measuring intrapulmonary concentrations of anti-infective agents and pharmacokinetic-pharmacodynamic modeling options to improve the care of patients with lower respiratory tract infections.
  17 in total

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Authors:  Keith A Rodvold; William W Hope; Sara E Boyd
Journal:  Curr Opin Pharmacol       Date:  2017-10-31       Impact factor: 5.547

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Authors:  H Ceren Ates; Hasti Mohsenin; Christin Wenzel; Regina T Glatz; Hanna J Wagner; Richard Bruch; Nico Hoefflin; Sashko Spassov; Lea Streicher; Sara Lozano-Zahonero; Bernd Flamm; Rainer Trittler; Martin J Hug; Maja Köhn; Johannes Schmidt; Stefan Schumann; Gerald A Urban; Wilfried Weber; Can Dincer
Journal:  Adv Mater       Date:  2021-09-21       Impact factor: 30.849

4.  Development of an Adult Physiologically Based Pharmacokinetic Model of Solithromycin in Plasma and Epithelial Lining Fluid.

Authors:  Sara N Salerno; Andrea Edginton; Michael Cohen-Wolkowiez; Christoph P Hornik; Kevin M Watt; Brian D Jamieson; Daniel Gonzalez
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-10-25

Review 5.  Physiologically Based Pharmacokinetic Model Qualification and Reporting Procedures for Regulatory Submissions: A Consortium Perspective.

Authors:  Mohamad Shebley; Punam Sandhu; Arian Emami Riedmaier; Masoud Jamei; Rangaraj Narayanan; Aarti Patel; Sheila Annie Peters; Venkatesh Pilla Reddy; Ming Zheng; Loeckie de Zwart; Maud Beneton; Francois Bouzom; Jun Chen; Yuan Chen; Yumi Cleary; Christiane Collins; Gemma L Dickinson; Nassim Djebli; Heidi J Einolf; Iain Gardner; Felix Huth; Faraz Kazmi; Feras Khalil; Jing Lin; Aleksandrs Odinecs; Chirag Patel; Haojing Rong; Edgar Schuck; Pradeep Sharma; Shu-Pei Wu; Yang Xu; Shinji Yamazaki; Kenta Yoshida; Malcolm Rowland
Journal:  Clin Pharmacol Ther       Date:  2018-02-02       Impact factor: 6.875

6.  Towards a Generic Tool for Prediction of Meropenem Systemic and Infection-Site Exposure: A Physiologically Based Pharmacokinetic Model for Adult Patients with Pneumonia.

Authors:  Pauline Thémans; Pierre Marquet; Joseph J Winkin; Flora T Musuamba
Journal:  Drugs R D       Date:  2019-06

Review 7.  Considerations for Dose Selection and Clinical Pharmacokinetics/Pharmacodynamics for the Development of Antibacterial Agents.

Authors:  M L Rizk; S M Bhavnani; G Drusano; A Dane; A E Eakin; T Guina; S H Jang; J F Tomayko; J Wang; L Zhuang; T P Lodise
Journal:  Antimicrob Agents Chemother       Date:  2019-04-25       Impact factor: 5.191

8.  Pharmacokinetics of intravenous and inhaled salbutamol and tobramycin: An exploratory study to investigate the potential of exhaled breath condensate as a matrix for pharmacokinetic analysis.

Authors:  Matthijs D Kruizinga; Willem A J Birkhoff; Michiel J van Esdonk; Naomi B Klarenbeek; Tomasz Cholewinski; Tessa Nelemans; Melloney J Dröge; Adam F Cohen; Rob G J A Zuiker
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9.  Pharmacokinetics under the COVID-19 storm.

Authors:  Venkatesh Pilla Reddy; Eman El-Khateeb; Heeseung Jo; Natalie Giovino; Emily Lythgoe; Shringi Sharma; Weifeng Tang; Masoud Jamei; Amin Rastomi-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2020-11-23       Impact factor: 3.716

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