Here we characterize and summarize the pharmacokinetic changes for metabolized drugs when drug-drug interactions and pharmacogenomic variance are observed. Following multiple dosing to steady-state, oral systemic concentration-time curves appear to follow a one-compartment body model, with a shorter rate limiting half-life, often significantly shorter than the single dose terminal half-life. This simplified disposition model at steady-state allows comparisons of measurable parameters (i.e., area under the curve, half-life, maximum concentration and time to maximum concentration) following drug interaction or pharmacogenomic variant studies to be utilized to characterize whether a drug is low versus high hepatic extraction ratio, even without intravenous dosing. The characteristics of drugs based on the ratios of area under the curve, maximum concentration and half-life are identified with recognition that volume of distribution is essentially unchanged for drug interaction and pharmacogenomic variant studies where only metabolic outcomes are changed and transporters are not significantly involved. Comparison of maximum concentration changes following single dose interaction and pharmacogenomic variance studies may also identify the significance of intestinal first pass changes. The irrelevance of protein binding changes on pharmacodynamic outcomes following oral and intravenous dosing of low hepatic extraction ratio drugs, versus its relevance for high hepatic extraction ratio drugs is re-emphasized.
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http://dx.doi.org/10.1007/s10928-019-09626-7 | DOI Listing |
Eur Rev Med Pharmacol Sci
December 2024
Department of Pharmacology & Therapeutics, College of Medicine and Health Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.
Objective: CYP2D6 plays a critical role in metabolizing tamoxifen into its active metabolite, endoxifen, which is crucial for its therapeutic effect in estrogen receptor-positive breast cancer. Single nucleotide polymorphisms (SNPs) in the CYP2D6 gene can affect enzyme activity and thus impact tamoxifen efficacy. This study aimed to use machine learning algorithms (MLAs) to identify significant predictors of Breast Cancer-Free Interval (BCFI) and to apply bioinformatics tools to investigate the structural and functional implications of CYP2D6 SNPs.
View Article and Find Full Text PDFIndian J Med Res
November 2024
Department of Receptor Biology and Tumor Metastasis, Chittaranjan National Cancer Institute, Kolkata, India.
Background & objectives The choice of anesthetic for better perioperative conservation of immune responses has always been contentious. This study investigated the differential impact of the intravenous anesthetic, propofol, and the volatile anesthetic, isoflurane on the T cell immune responses, if any, among individuals going through perioperative breast cancer. Methods Perioperative blood samples (preoperative, intraoperative and postoperative) collected from participants with breast cancer in two arms namely isoflurane arm (n=50) and the propofol arm (n=50) were analyzed for T cell immune response using flow cytometry and ELISA.
View Article and Find Full Text PDFJ Pers Med
November 2024
Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
: The integration of pharmacogenetic (PGx) testing into primary care has not been widely implemented, despite its benefits for patients and providers. PGx testing could also reduce health disparities as patients with lower healthcare access are prescribed higher proportions of medications with PGx guidelines. Little is known about the preferences of patients who have experienced PGx testing to inform implementation across the care process.
View Article and Find Full Text PDFJ Pers Med
November 2024
Coriell Life Sciences, Philadelphia, PA 19112, USA.
Pharmacogenomics (PGx) has revolutionized personalized medicine by empowering the tailoring of drug treatments based on individual genetic profiles. However, the complexity of drug response mechanisms necessitates the integration of additional biological and environmental factors. This article explores integrating epigenetics, nutrigenomics, microbiomes, protein interactions, exosomes, and metabolomics with PGx to enhance personalized medicine.
View Article and Find Full Text PDFExp Eye Res
December 2024
Departments of Biochemistry and Ophthalmology, University of Washington, Seattle, WA, USA. Electronic address:
Organelles such as mitochondria, lysosomes, peroxisomes, and the endoplasmic reticulum form highly dynamic cellular networks and exchange information through sites of physical contact. While each organelle performs unique functions, this inter-organelle crosstalk helps maintain cell homeostasis. Age-related macular degeneration (AMD) is a devastating blinding disease strongly associated with mitochondrial dysfunction, oxidative stress, and decreased clearance of cellular debris in the retinal pigment epithelium (RPE).
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