Current Drug Metabolism - Volume 24, Issue 7, 2023
Volume 24, Issue 7, 2023
-
-
Drug-gut Microbiome Interaction in Atherosclerosis Therapeutics
Authors: Hao-Jian Zhang, Yan Wang and Jian-Dong JiangAtherosclerosis (AS) is one of the major risk factors for cardiovascular disease pathogenesis, and current studies have found that the development of atherosclerosis is closely related to the intestinal microbiome. This review describes the relationship between the development of atherosclerosis and the gut microbiome with its metabolites and reviews the interactions between atherosclerosis-related drugs and the intestinal microbiome, especially the in vivo metabolic effects of the intestinal microbiome on drugs related to the treatment of atherosclerosis, to provide further understanding for the development of drugs based on the intestinal microbiome to treat atherosclerosis.
-
-
-
Pharmacokinetic Drug-Drug Interactions Involving Antiretroviral Agents: An Update
Authors: Xin Yu, Lifeng Zhao, Zheng Yuan and Yingfei LiAntiretroviral therapy is the recognized treatment for human immunodeficiency virus (HIV) infection involving several antiviral agents. Even though highly active antiretroviral therapy has been proven to be very effective in suppressing HIV replication, the antiretroviral drugs, belonging to different pharmacological classes, present quite complex pharmacokinetic properties such as extensive drug metabolism and transport by membrane-associated drug carriers. Moreover, due to uncomplications or complications in HIV-infected populations, an antiretroviralbased multiple-drug coadministration therapy strategy is usually applied for treatment effect, thus raising the possibility of drug-drug interactions between antiretroviral drugs and common drugs such as opioids, stains, and hormonal contraceptives. Herein, thirteen classical antiretroviral drugs approved by US Food and Drug Administration were summarized. Besides, relative drug metabolism enzymes and transporters known to interact with those antiretroviral drugs were detailed and described. Furthermore, one after the summarized antiretroviral drugs, the drug-drug interactions between two antiretroviral drugs or antiretroviral drug - conventional medical drugs of the past decade were discussed and summarized. This review is intended to deepen the pharmacological understanding of antiretroviral drugs and promote more secure clinical applications for antiretroviral drugs to treat HIV.
-
-
-
Which can Predict the Outcome of Antidepressants: Metabolic Genes or Pharmacodynamic Genes?
Authors: Nan Zheng, Mengxi Niu, Yannan Zang, Hongyan Zhuang, Fei Jia, Shuang Bao and Shanshan LiuDrug therapy is the primary modality for depression; however, its outcome is often unpredictable, ranging from beneficial effects to serious adverse effects. Genetic variations in drug metabolizing enzymes and pharmacodynamic molecules are responsible for a considerable proportion of interindividual differences in the effectiveness and toxicity of antidepressants. For the improvement in the use of antidepressants, the focus is mainly on personalized treatment emphasizing interindividual differences in genes. This study provides a comprehensive review of the literature on the clinical applications of pharmacogenomics for antidepressant therapy. The polymorphisms of metabolizing enzymes (CYP2D6, CYP2C19, and others) governing the pharmacokinetic behavior of drugs are potential predictors of side effects or treatment failure with medications and there are good pharmacogenetic clinical recommendations for a wide selection of psychopharmacological agents based on functional diplotypes of CYP2C19 and CYP2D6. The relationship between pharmacodynamic genes, including FKBP5, SLC6A4, BDNF, ABCB1, HTR1A, and HTR2A, and clinical outcomes varies in different races. Receptors that are currently used as drug targets for antidepressant drugs are evolutionarily conserved to a higher extent than genes encoding drug metabolism, and the actionability of pharmacodynamic-related genotyping is currently still questionable. The limited availability of largescale, long-term clinical studies on different races and medications currently impedes the implementation of pharmacogenomics in antidepressant treatment. The use of pharmacokinetic and pharmacodynamic modeling, and therapeutic drug monitoring combined with genetic, somatic, dietary, and environmental factors represents a promising avenue for improving the precision and effectiveness of antidepressant therapy.
-
-
-
Factors Influencing ADME Properties of Therapeutic Antisense Oligonucleotides: Physicochemical Characteristics and Beyond
Therapeutic antisense oligonucleotides (ASOs) represent a diverse array of chemically modified singlestranded deoxyribonucleotides that work complementarily to affect their mRNA targets. They vastly differ from conventional small molecules. These newly developed therapeutic ASOs possess unique absorption, distribution, metabolism, and excretion (ADME) processes that ultimately determine their pharmacokinetic, efficacy and safety profiles. The ADME properties of ASOs and associated key factors have not been fully investigated. Therefore, thorough characterization and in-depth study of their ADME properties are critical to support drug discovery and development processes for safe and effective therapeutic ASOs. In this review, we discussed the main factors affecting the ADME characteristics of these novels and evolving therapies. The major changes to ASO backbone and sugar chemistry, conjugation approaches, sites and routes of administration, etc., are the principal determinants of ADME and PK profiles that consequentially impact their efficacy and safety profiles. In addition, species difference and DDI considerations are important in understanding ADME profile and PK translatability but are less studied for ASOs. We, therefore, have summarized these aspects based on current knowledge and provided discussions in this review. We also give an overview of the current tools, technologies, and approaches available to investigate key factors that influence the ADME of ASO drugs and provide future perspectives and knowledge gap analysis.
-
Volumes & issues
-
Volume 25 (2024)
-
Volume 24 (2023)
-
Volume 23 (2022)
-
Volume 22 (2021)
-
Volume 21 (2020)
-
Volume 20 (2019)
-
Volume 19 (2018)
-
Volume 18 (2017)
-
Volume 17 (2016)
-
Volume 16 (2015)
-
Volume 15 (2014)
-
Volume 14 (2013)
-
Volume 13 (2012)
-
Volume 12 (2011)
-
Volume 11 (2010)
-
Volume 10 (2009)
-
Volume 9 (2008)
-
Volume 8 (2007)
-
Volume 7 (2006)
-
Volume 6 (2005)
-
Volume 5 (2004)
-
Volume 4 (2003)
-
Volume 3 (2002)
-
Volume 2 (2001)
-
Volume 1 (2000)
Most Read This Month
