Pharmacokinetics of Biomedicines: Impact on Pre-clinical Development and Clinical Use 2nd Edition

A special issue of Biomedicines (ISSN 2227-9059).

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 1646

Special Issue Editor


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Guest Editor
1. Centre of Personalized Psychiatry and Neurology, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, St Petersburg 192019, Russia
2. Shared Core Facilities “Molecular and Cell Technologies” , V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk 660022, Russia
Interests: pharmacokinetics; pharmacogenetics; pharmacometabolomics; clinical and pre-clinical development; drug monitoring therapy; drug disposition; bioanalytical assays; immunogenicity; tailored dosing; precision medicine
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Special Issue Information

Dear Colleagues,

We thank all the authors who took part in preparing the first edition of this Special Issue.

In the second edition of the Special Issue “Pharmacokinetics of Biomedicine: Impact on Pre-clinical Development and Clinical Application”, the main focus is on the pharmacokinetics and pharmacogenetics of new and well-known medicines, their characteristics when used in monotherapy and polytherapy for a wide range of diseases in children, adolescents, and adults. Significant attention will also be paid to the study of medicine pharmacokinetics at pre-clinical development and clinical use stages.

Chemical, pre-clinical developments, and clinical application are the main problems for many medicines due to their different physico-chemical properties and possible drug–drug interactions. Pharmacogenetics can explain the much more complex pharmacokinetic behavior of medicines in various patients, which strongly influences the strategy of their pre-clinical testing and clinical use, including strategies for clinical, pharmacokinetic, and pharmacogenetic monitoring, and the personalization of pharmacotherapy. In addition, the pharmacokinetic profile, as well as pharmacodynamics and toxicity, can be influenced by specific factors, such as immunogenicity; they are often regulated by different procedures, and, because of their unique properties, various types of bioanalytic analyses are needed for their effective quantification: mass analysis, activity analysis, and immunogenicity analysis.

We invite authors to submit original studies and reviews that highlight the factors specific to a particular medicine(s) and/or a particular patient that affect the pharmacokinetic behavior of a wide range of drugs, and that must be taken into account for successful pharmacotherapy in real clinical practice.

Dr. Natalia Shnayder
Guest Editor

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Keywords

  • pharmacokinetics
  • pharmacogenetics
  • pharmacometabolomics
  • clinical and pre-clinical development
  • drug monitoring therapy
  • drug disposition
  • bioanalytical assays
  • immunogenicity
  • tailored dosing
  • precision medicine

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Research

15 pages, 2684 KiB  
Article
A Normalization Protocol Reduces Edge Effect in High-Throughput Analyses of Hydroxyurea Hypersensitivity in Fission Yeast
by Ulysses Tsz-Fung Lam, Thi Thuy Trang Nguyen, Raechell Raechell, Jay Yang, Harry Singer and Ee Sin Chen
Biomedicines 2023, 11(10), 2829; https://doi.org/10.3390/biomedicines11102829 - 18 Oct 2023
Viewed by 1432
Abstract
Edge effect denotes better growth of microbial organisms situated at the edge of the solid agar media. Although the precise reason underlying edge effect is unresolved, it is generally attributed to greater nutrient availability with less competing neighbors at the edge. Nonetheless, edge [...] Read more.
Edge effect denotes better growth of microbial organisms situated at the edge of the solid agar media. Although the precise reason underlying edge effect is unresolved, it is generally attributed to greater nutrient availability with less competing neighbors at the edge. Nonetheless, edge effect constitutes an unavoidable confounding factor that results in misinterpretation of cell fitness, especially in high-throughput screening experiments widely employed for genome-wide investigation using microbial gene knockout or mutant libraries. Here, we visualize edge effect in high-throughput high-density pinning arrays and report a normalization approach based on colony growth rate to quantify drug (hydroxyurea)-hypersensitivity in fission yeast strains. This normalization procedure improved the accuracy of fitness measurement by compensating cell growth rate discrepancy at different locations on the plate and reducing false-positive and -negative frequencies. Our work thus provides a simple and coding-free solution for a struggling problem in robotics-based high-throughput screening experiments. Full article
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