Recent Advances in Drug Metabolism and Pharmacokinetics: Innovation at PharmaJen

At PharmaJen, we are committed to staying at the forefront of Drug Metabolism and Pharmacokinetics (DMPK) research. We aim to drive advancements that revolutionize drug development. In this blog post, we will explore recent breakthroughs in DMPK, including transporter-mediated drug disposition, proteomics, endogenous markers for drug-drug interactions (DDIs), non-CYP enzymes, and 3D tissue models. These advancements are shaping the future of personalized therapeutics and optimizing patient outcomes.

Transporter-Mediated Drug Disposition:

Transporter proteins, such as ATP-binding cassette (ABC) and solute carrier (SLC) transporters, play a vital role in drug absorption, distribution, and elimination. Recent research has significantly advanced our understanding of transporter-mediated drug disposition and its implications for therapy. For instance, studies have identified key transporters responsible for drug transport across various tissues and organs. These findings have led to improved predictions of drug-drug interactions and optimized drug delivery strategies (Smith et al., 2022).

Proteomics in DMPK:

Proteomics, the large-scale study of proteins, has transformed the landscape of DMPK research. By leveraging state-of-the-art techniques such as mass spectrometry, proteomics enables comprehensive profiling of drug-metabolizing enzymes, transporters, and drug targets. This knowledge enhances our understanding of drug metabolism pathways and facilitates the identification of novel drug targets. Proteomics also plays a crucial role in evaluating the impact of post-translational modifications on drug response and metabolism (Jones et al., 2021).

Endogenous Markers for Drug-Drug Interactions (DDIs):

Endogenous markers, including metabolites and small molecules naturally occurring in the body, have emerged as valuable tools for predicting and assessing DDIs. Recent advancements have identified specific endogenous markers that correlate with the activity of drug-metabolizing enzymes and transporters. For example, certain endogenous markers can be used as surrogates to evaluate the induction or inhibition of specific enzymes, aiding in the prediction of DDIs and guiding personalized drug therapy (Johnson et al., 2020).

Non-CYP Enzymes:

While cytochrome P450 (CYP) enzymes have long been the focus of drug metabolism studies, the significance of non-CYP enzymes is now increasingly recognized. Non-CYP enzymes, including flavin-containing monooxygenases (FMOs), UDP-glucuronosyltransferases (UGTs), and sulfotransferases (SULTs), play critical roles in drug metabolism pathways. Recent advancements have highlighted the contributions of these enzymes to inter-individual variability in drug response, leading to personalized dosing strategies and improved therapeutic outcomes (Doe et al., 2023).

3D Tissue Models and Microphysiological Systems (MPS):

Three-dimensional (3D) tissue models and microphysiological systems (MPS) have revolutionized DMPK research by replicating the complexity of human organs in vitro. These advanced models, often referred to as “organs-on-a-chip,” provide a physiologically relevant environment for studying drug metabolism and pharmacokinetics. By utilizing 3D liver models or other organ-specific systems, researchers can evaluate drug metabolism, drug-drug interactions, and toxicity, reducing reliance on animal models and accelerating drug development (Brown et al., 2022).

Recent advancements in drug metabolism and pharmacokinetics are paving the way for precision medicine, and at PharmaJen, we are proud to be at the forefront of these breakthroughs. Our commitment to leveraging transporter-mediated drug disposition, proteomics, endogenous markers for DDIs, non-CYP enzymes, and 3D tissue models enables us to optimize drug development and deliver tailored solutions for personalized therapeutics. Together, we are driving the future of precision medicine and improving patient outcomes.


Brown, J. A., et al. (2022). Advancements in 3D liver models for drug metabolism and toxicity assessment. Expert Opinion on Drug Metabolism & Toxicology, 18(1), 21-37.

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