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CYP2D6、2C19和3A4表型转化在药物相关死亡中的作用。

Effect of CYP2D6, 2C19, and 3A4 Phenoconversion in Drug-Related Deaths.

作者信息

Aly Sanaa M, Hennart Benjamin, Gaulier Jean-Michel, Allorge Delphine

机构信息

Forensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt.

CHU Lille, Service de Toxicologie-Génopathies, F-59000 Lille, France.

出版信息

Toxics. 2024 Mar 30;12(4):260. doi: 10.3390/toxics12040260.

Abstract

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.

摘要

分子尸检是法医毒理学中一项非常重要的工具。然而,为了获得最佳结果,应考虑许多决定因素,如联合用药和生理参数。这些决定因素可能导致表型转化(PC),即表型转化后实际代谢谱与基因型所决定的表型之间存在差异。本研究的目的是评估45例检测到这些酶的底物、诱导剂或抑制剂药物的病例中药物代谢酶(即CYP2D6、2C19和3A4)的表型转化情况。它还旨在评估表型转化如何影响4例病例中药物的代谢率(MR)。对45例药物相关死亡病例的血样进行分析,以检测和测定药物及代谢物浓度。此外,所有样本均使用HaloPlex靶向富集系统对CYP2D6、CYP2C19和CYP3A4进行基因分型。本研究结果显示,所研究的三种酶的表型转化率具有统计学意义,表型转化后代谢不良者的频率更高。表型转化后的基因组评估结果与观察到的文拉法辛、西酞普兰和芬太尼的代谢率之间存在一致性。这使我们关注可能主要由药物相互作用诱导的导致表型转化的决定因素。这种复杂现象可能对法医毒理学中的分析、基因型解释和准确结论产生重大影响。然而,未来需要更多病例的进一步研究来证实这些结果。

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