Molecular autopsy is a very important tool in forensic toxicology. However, many determinants, such as co-medication and physiological parameters, should be considered for optimal results. These determinants could cause phenoconversion (PC), a discrepancy between the real metabolic profile after phenoconversion and the phenotype determined by the genotype. This study's objective was to assess the PC of drug-metabolizing enzymes, namely CYP2D6, 2C19, and 3A4, in 45 cases where medications that are substrates, inducers, or inhibitors of these enzymes were detected. It also intended to evaluate how PC affected the drug's metabolic ratio (MR) in four cases. Blood samples from 45 cases of drug-related deaths were analyzed to detect and determine drug and metabolite concentrations. Moreover, all the samples underwent genotyping utilizing the HaloPlex Target Enrichment System for , , and . The results of the present study revealed a statistically significant rate of PC for the three investigated enzymes, with a higher frequency of poor metabolizers after PC. A compatibility was seen between the results of the genomic evaluation after PC and the observed MRs of venlafaxine, citalopram, and fentanyl. This leads us to focus on the determinants causing PC that may be mainly induced by drug interactions. This complex phenomenon can have a significant impact on the analysis, interpretation of genotypes, and accurate conclusions in forensic toxicology. Nevertheless, more research with more cases in the future is needed to confirm these results.
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http://dx.doi.org/10.3390/toxics12040260 | DOI Listing |
Biol Pharm Bull
August 2024
Laboratory of Molecular Pharmacokinetics, College of Pharmaceutical Sciences, Ritsumeikan University.
CYP2D6 variants contain various single nucleotide polymorphisms as well as differing levels of metabolic activity. Among these, one of the less active variants CYP2D6*10 (100C > T) is the most prevalent mutation in East Asians, including Japanese. This mutation leads to an amino acid substitution from proline to serine, which reduces the stability of CYP2D6 and consequently decreases its metabolic activity.
View Article and Find Full Text PDFToxicology
August 2024
Division of Biochemical Toxicology, National Center for Toxicological Research (NCTR), U.S. Food and Drug Administration (FDA), Jefferson, AR 72079, USA. Electronic address:
Expert Opin Drug Metab Toxicol
May 2024
Clinical Enteric Neuroscience Translational and Epidemiological Research (CENTER), Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
Introduction: Medications are frequently prescribed for patients with irritable bowel syndrome (IBS) or disorders of gut brain interaction. The level of drug metabolism and modifications in drug targets determine medication efficacy to modify motor or sensory function as well as patient response outcomes.
Areas Covered: The literature search included PubMed searches with the terms: pharmacokinetics, pharmacogenomics, epigenetics, clinical trials, irritable bowel syndrome, disorders of gut brain interaction, and genome-wide association studies.
Pharmacopsychiatry
July 2024
Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Germany.
Background: Approximately 15-25% of depressed patients suffer from difficult-to-treat depression (DTD). Patients with DTD require a thorough examination to avoid the oversight of treatable (psychiatric/somatic) comorbidities or (pseudo-)resistance to antidepressant drugs (ADs). Polymorphisms of the cytochrome P450 (CYP) enzymes 2D6 and 2C19, which play a major role in the metabolism of ADs, may contribute to resistance to ADs.
View Article and Find Full Text PDFToxics
March 2024
CHU Lille, Service de Toxicologie-Génopathies, F-59000 Lille, France.
Molecular autopsy is a very important tool in forensic toxicology. However, many determinants, such as co-medication and physiological parameters, should be considered for optimal results. These determinants could cause phenoconversion (PC), a discrepancy between the real metabolic profile after phenoconversion and the phenotype determined by the genotype.
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