Introduction: Pharmaceutical cocrystallization has emerged in the past decade as a new strategy to enhance the clinical performance of orally administered drugs. A pharmaceutical cocrystal is a multi-component crystalline material in which the active pharmaceutical ingredient is in a stoichiometric ratio with a second compound that is generally a solid under ambient conditions. The resulting cocrystal exhibits different solid-state thermodynamics, leading to changes in physicochemical properties that offer the potential to significantly modify drug pharmacokinetics.
Areas Covered: The impact of cocrystallization upon drug pharmacokinetics has not yet been well delineated. Herein, we compile previously published data to address two salient questions: what effect does cocrystallization impart upon physicochemical properties of a drug substance and to what degree can those effects impact its pharmacokinetics.
Expert Opinion: Cocrystals can impact various aspects of drug pharmacokinetics, including, but not limited to, drug absorption. The diversity of solid forms offered through cocrystallization can facilitate drastic changes in solubility and pharmacokinetics. Therefore, it is unsurprising that cocrystal screening is now a routine step in early-stage drug development. With the increasing recognition of pharmaceutical cocrystals from clinical, regulatory and legal perspectives, the systematic commercialization of cocrystal containing drug products is just a matter of time.
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http://dx.doi.org/10.1517/17425255.2014.942281 | DOI Listing |
Clin Pharmacokinet
January 2025
Clinical Pharmacology and Toxicology Service, Anesthesiology, Pharmacology and Intensive Care Department, Geneva University Hospitals, 4 Rue Gabrielle Perret-Gentil, 1205, Geneva, Switzerland.
Background And Objective: Fexofenadine is commonly used as a probe substrate to assess P-glycoprotein (Pgp) activity. While its use in healthy volunteers is well documented, data in older adult and polymorbid patients are lacking. Age- and disease-related physiological changes are expected to affect the pharmacokinetics of fexofenadine.
View Article and Find Full Text PDFClin Pharmacokinet
January 2025
Discipline of Pharmaceutical Sciences, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
As people age, the efficiency of various regulatory processes that ensure proper communication between cells and organs tends to decline. This deterioration can lead to difficulties in maintaining homeostasis during physiological stress. This includes but is not limited to cognitive impairments, functional difficulties, and issues related to caregivers which contribute significantly to medication errors and non-adherence.
View Article and Find Full Text PDFMed Oncol
January 2025
Universidad Espíritu Santo, Samborondón, 092301, Ecuador.
Didemnins, a class of cyclic depsipeptides derived from marine organisms exhibit notable anticancer properties. Among them, Didemnin B has been extensively researched for its strong antitumor activity and progression to clinical trials. Nonetheless, its clinical application has been impeded by challenges like poor bioavailability and dose-limiting toxicity.
View Article and Find Full Text PDFBiomed Chromatogr
February 2025
Guangdong Provincial key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China.
Praziquantel (PZQ) is the most effective treatment for schistosomiasis, commonly administered as a racemic mixture of the two enantiomers. Despite many reports on the pharmacokinetics of PZQ, the stereoselective pharmacokinetics of PZQ and its major metabolite 4-hydroxypraziquantel (4-OH-PZQ) remain poorly understood in goats. In this study, the chiral LC-MS/MS method was further optimized for separating and quantifying PZQ, trans-4-OH-PZQ, and cis-4-OH-PZQ and their enantiomers and then applied for the molecular pharmacokinetics of three analytes in black goat plasma.
View Article and Find Full Text PDFClin Transl Sci
January 2025
Global Biometrics and Data Management, Pfizer Research and Development, New York, New York, USA.
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.
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