Pharmacometrics Research for the Realization and Advancement of Precision Medicine

A special issue of Pharmaceuticals (ISSN 1424-8247). This special issue belongs to the section "Pharmaceutical Technology".

Deadline for manuscript submissions: 25 August 2024 | Viewed by 2313

Special Issue Editors

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Guest Editor
College of Pharmacy, Sunchon National University, 255 Jungang-ro, Suncheon-si 57922, Jeollanam-do, Republic of Korea
Interests: pharmacokinetics; pharmacodynamics; toxicometrics; risk assessment; physiologically based modeling; lymphatic delivery; nanoformulation and evaluation; bioanalytical method development and validation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Pharmacy and Institute of Bioequivalence and Bridging Study, Chonnam National University, 77 Yongbong-ro, Buk-Gu, Gwangju 61186, Republic of Korea
Interests: pharmacometrics; modeling; nanoformulation; drug delivery; lymph; herbal medicine; clinical study
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The contribution of medicine in overcoming human diseases is great and, as a result, human health and lifespan have been greatly increased. Drugs for the treatment of various diseases are continuously being developed, and formulation research is progressing at a remarkable speed. However, in the reality that most medicines rely on empirical usage and apply uniformly to all people, preparing effective alternatives and ways to overcome this has become a very important concern. Precision medicine and individualized drug therapy are very important research areas, as important as drug development for effective clinical application through reductions in side effects and maximization of drug efficacy.

This Special Issue focuses on the application and current status of pharmacometric studies for the realization and advancement of precision medicine. Therefore, pharmacokinetics, pharmacodynamics, in vivo drug quantification, and genetic polymorphism studies (such as enzymes or transporters involved in drug absorption, distribution, metabolism, and excretion) for precision medicine and individualized pharmacotherapy settings will be suitable for this Special Issue scope. In addition, studies on predicting drug behavior and efficacy in the body through mathematical modeling, exploring clinical usage based on models, and exploring effective covariates to explain the diversity of pharmacokinetics and pharmacodynamics among individuals will be very welcome. Finally, it is expected that a lot of useful and interesting research information for the realization of precision medicine will be introduced in this Special Issue.

Dr. Seung-Hyun Jeong
Prof. Dr. Yong-Bok Lee
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Pharmaceuticals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • precision medicine
  • individualized therapy
  • pharmacometrics
  • mathematical modeling
  • quantitative prediction
  • regimen setting
  • drug-response variability

Published Papers (1 paper)

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16 pages, 3771 KiB  
Population Pharmacokinetic Modeling of Zaltoprofen in Healthy Adults: Exploring the Dosage Regimen
by Ji-Hun Jang, Seung-Hyun Jeong and Yong-Bok Lee
Pharmaceuticals 2023, 16(2), 161; - 22 Jan 2023
Cited by 1 | Viewed by 1490
Zaltoprofen is a drug used for various pain and inflammatory diseases. Scientific and quantitative dosage regimen studies regarding its clinical application are scarce. This study aimed to discover effective covariates related to interindividual pharmacokinetic variability through population pharmacokinetic modeling for zaltoprofen and to [...] Read more.
Zaltoprofen is a drug used for various pain and inflammatory diseases. Scientific and quantitative dosage regimen studies regarding its clinical application are scarce. This study aimed to discover effective covariates related to interindividual pharmacokinetic variability through population pharmacokinetic modeling for zaltoprofen and to explore dosage regimens. The bioequivalence results of healthy Korean males, biochemical analysis, and CYP2C9 genotyping information were utilized in modeling. The established model has been sufficiently verified through a bootstrap, goodness-of-fit, visual predictive check, and normalized prediction distribution error. External data sets derived from the literature were used for further model validation. The final model could be used to verify the dosage regimen through multiple exposure simulations according to the numerical change of the selected covariates. Zaltoprofen pharmacokinetics could be explained by a two-compartment with a first-order absorption model. Creatinine clearance (CrCL) and albumin were identified as effective covariates related to interindividual zaltoprofen pharmacokinetic variability, and they had positive and negative correlations with clearance (CL/F), respectively. The differences in pharmacokinetics between individuals according to CYP2C9 genetic polymorphisms (*1/*1 and *1/*3) were not significant or valid covariates. The model simulation confirmed that zaltoprofen pharmacokinetics could significantly differ as the CrCL and albumin levels changed within the normal range. Steady-state plasma exposure to zaltoprofen was significantly reduced in the group with CrCL and albumin levels of 130 mL/min and 3.5 g/dL, respectively, suggesting that dose adjustment may be necessary. This study is useful to guide precision medicine of zaltoprofen and provides scientific quantitative judgment data for its clinical applications. Full article
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