Background: Selective serotonin reuptake inhibitors (SSRIs) are used by over 180,000 people in Norway. The enzymes CYP2D6 and CYP2C19 are key in the metabolism of SSRI antidepressants. The serotonin transporter coded by SLC6A4 may be significant for the efficacy of the drugs.
Material And Method: All patients who had undergone genotyping for CYP2D6, CYP2C19 and SLC6A4 at the Centre for Psychopharmacology in 2020 were included, irrespective of indication. For those patients where data were available, CYP2C19 genotype was linked to serum concentration measurement of escitalopram, which is the most commonly used SSRI drug.
Results: Out of 3,492 patients, 432 (12.4 %) had a combination of genotypes of CYP2D6, CYP2C19 and SLC6A4 considered to lead to the most favourable metabolism and efficacy of SSRI antidepressants. The dose requirement in patients with poor CYP2C19 metabolism was more than halved to achieve the same concentration of escitalopram compared to patients with normal metabolism.
Interpretation: Our findings demonstrate the low prevalence of the most favourable genotype combination for response to SSRIs. Genotype combinations probably contribute to the wide variation between individuals in the efficacy of these drugs and the fact that treatment does not produce the desired outcome in many patients.
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http://dx.doi.org/10.4045/tidsskr.22.0017 | DOI Listing |
Front Pharmacol
January 2025
State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin, China.
Introduction: Deglycosylated azithromycin (Deg-AZM), a new transgelin agonist with positive therapeutic effects on slow transit constipation, has been approved for clinical trials in 2024. This work investigated the drug metabolism and transport of Deg-AZM to provide research data for further development of Deg-AZM.
Methods: A combination of UPLC-QTOF-MS was used to obtain metabolite spectra of Deg-AZM in plasma, urine, feces and bile.
Eur J Clin Pharmacol
January 2025
Electrical and Computer Engineering Department, School of Engineering, Lebanese American University, P.O. Box: 36, Byblos, F-19, Lebanon.
Objective: The study aims to verify the usage of mathematical modeling in predicting patients' medication doses in association with their genotypes versus real-world data.
Methods: The work relied on collecting, extracting, and using real-world data on dosing and patients' genotypes. Drug metabolizing enzymes, i.
Pharmaceutics
December 2024
College of Pharmacy, Chungnam National University, Daejeon 34134, Republic of Korea.
: Perillyl alcohol (POH), a monoterpene natural product derived from the essential oils of plants such as perilla (), is currently in phase I and II clinical trials as a chemotherapeutic agent. In this study, we investigated the effect of POH on cytochrome P450 (CYP) activity for evaluating POH-drug interaction potential. : The investigation was conducted using pooled human liver microsomes (HLMs), recombinant CYP3A4 (rCYP3A4) enzymes, and human pluripotent stem cell-derived hepatic organoids (hHOs) employing liquid chromatography-tandem mass spectrometry.
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