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Quality by Design-Steered Development of Stealth Liposomal Formulation of Everolimus: A Systematic Optimization and Evaluation 依维莫司隐形脂质体制剂的设计质量引导开发:系统优化与评估
IF 2.3 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-08-28 DOI: 10.2174/0113892002322171240821104152
Simranjeet Kaur, Rajveer Sidhu, Dilpreet Singh
Background: Everolimus is a drug approved for the treatment of breast cancer with HR+ and advanced breast cancer reoccurring in postmenopausal women. The oral administration of EVE has been observed to have low oral bioavailability and severe epithelial cutaneous events that include rashes and lip ulceration followed by mouth ulceration after oral administration. Aim: The present research aimed to enhance the bioavailability by loading the EVE into a stealth liposomal formulation (S-EVE-LIPO) intended for intravenous administration. Methods: The surface of the liposomes was modified with vitamin E TPGS, which prolongs the systemic circulation of the drug and provides additional benefits like inhibition of the P-gp efflux pump and acting synergistically with EVE. Results: The formulation was prepared using the thin film hydration method and optimized using a D-optimal mixture design. ANOVA suggested the significance of the proposed mathematic model, and the optimized formulation was generated by design expert software. The optimized formulation (S-EVE-LIPO) was observed with nanometric size (99.5 ± 3.70 nm) with higher encapsulation efficacy (81.5 ± 2.86 %). The S-EVELIPO formulation indicated a sustained release profile as 90.22% drug release was observed in 48 h, whereas the formulation without vitamin E TPGS (EVE-LIPO) released only 74.15 drugs in 24 hours. In vitro cytotoxicity study suggested that the presence of vitamin E TPGS lowers the IC50 value (54.2 ± 1.69), increases the cellular uptake of the formulation, also increases the generation of ROS, and shows better hemocompatibility. result: The formulation was prepared by thin film hydration method and optimized by D-optimal mixture design. ANOVA suggested significancy of the proposed mathematic model and optimized formulation was generated by design expert software The optimized formulation (S-EVE-LIPO) has observed with nanometric size (99.5 ± 3.70 nm) with higher encapsulation efficacy (81.5 ± 2.86 %). The S-EVE-LIPO formulation indicated with a sustained release profile as 90.22% drug release was observed in 48 h, whereas the formulation without vitamin E TPGS (EVE-LIPO) releases only 74.15 drug in 24 hours. In vitro cytotoxicity study suggested that the presence of vitamin E TPGS lowers the IC50 value (54.2 ± 1.69), increases the cellular uptake of the formulation, also increases the generation of ROS and shows better hemocompatibility. Conclusion: Vitamin E TPGS could be set as a vital additive to improve therapeutic efficacy and reduce offsite toxicity and dosing frequency.
背景介绍依维莫司(Everolimus)是一种已获批准的药物,用于治疗绝经后妇女再发的HR+和晚期乳腺癌。据观察,口服依维莫司的口服生物利用度较低,口服后会出现严重的皮肤上皮事件,包括皮疹和唇部溃疡,随后出现口腔溃疡。目的:本研究旨在通过将 EVE 加入隐形脂质体制剂(S-EVE-LIPO)以提高其生物利用度,该制剂用于静脉给药。研究方法脂质体表面经维生素 E TPGS 修饰,可延长药物的全身循环,并提供额外的益处,如抑制 P-gp 外排泵和与 EVE 起协同作用。结果制剂采用薄膜水合法制备,并通过 D- 最佳混合物设计进行了优化。方差分析表明所提出的数学模型具有显著性,并通过设计专家软件生成了优化配方。优化后的配方(S-EVE-LIPO)具有纳米级尺寸(99.5 ± 3.70 nm)和更高的封装效率(81.5 ± 2.86 %)。S-EVELIPO 配方具有持续释放特性,在 48 小时内药物释放量达到 90.22%,而不含维生素 E TPGS 的配方(EVE-LIPO)在 24 小时内药物释放量仅为 74.15%。体外细胞毒性研究表明,维生素 E TPGS 的存在降低了 IC50 值(54.2 ± 1.69),增加了细胞对制剂的吸收,也增加了 ROS 的产生,并显示出更好的血液相容性:制剂采用薄膜水合法制备,并通过 D- 最佳混合物设计进行了优化。优化配方(S-EVE-LIPO)具有纳米级尺寸(99.5 ± 3.70 nm)和更高的封装效率(81.5 ± 2.86 %)。S-EVE-LIPO 配方具有持续释放特性,48 小时内药物释放量达到 90.22%,而不含维生素 E TPGS 的配方(EVE-LIPO)24 小时内药物释放量仅为 74.15%。体外细胞毒性研究表明,维生素 E TPGS 的存在降低了 IC50 值(54.2 ± 1.69),增加了细胞对制剂的吸收,也增加了 ROS 的产生,并显示出更好的血液相容性。结论维生素 E TPGS 可作为一种重要的添加剂,用于提高疗效、降低异位毒性和用药频率。
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引用次数: 0
WITHDRAWN: Pharmacokinetic Drug Interactions of Piperine: A Review of Pre-clinical and Clinical Studies 胡椒碱的药代动力学药物相互作用:临床前和临床研究综述》。
IF 2.1 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-06-19 DOI: 10.2174/0113892002302273240607055945
Imtiyaz Ahmed Najar, Sagar Pamu, Anushka Paul, Poonam Arora, Gaganjit Kaur, Manish Kumar

The article has been withdrawn at the request of the author and the editor of the journal Current Drug Metabolism.

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.

The Bentham editorial policy on article withdrawal can be found at https://benthamscience.com/editorial-policiesmain.php

Bentham science disclaimer: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneouslysubmitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewheremust be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submittingthe article for publication, the authors agree that the publishers have the legal right to take appropriate action against theauthors if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyrightof their article is transferred to the publishers if and when the article is accepted for publication.

胡椒碱(酰胺类生物碱)提取自胡椒,在全球范围内被用于各种传统和传统医学体系。据观察,同时服用胡椒碱会对几种高效药物的吸收、膜转运和药物代谢产生微妙的影响。药物相互作用的发生可能会对药代动力学参数产生显著影响,导致有利或不利的药理作用。本研究对胡椒碱的药代动力学药物相互作用进行了全面评估,共收录了 34 篇学术文章(专门针对药代动力学相互作用),包括 62 项研究(56 项临床前研究和 6 项临床研究)。在本研究中,我们认为胡椒碱能够提高多种药物的生物利用度和天然来源的生物活性分子,使其成为一种有效的生物强化剂。通过提高生物利用度,胡椒碱可以减少所需剂量,降低药物成本,最大限度地减少耐药性的发生,并减轻与环丙沙星、氨苄西林、甲硝唑卡马西平、姜黄素和土霉素等多种药物相关的剂量依赖性副作用。然而,少数已发表的研究表明,异烟肼、葛根素、地尔硫卓、去乙酰地尔硫卓和麦格诺尔与胡椒碱或胡椒/曲卡图(主要含胡椒碱)联合口服后,生物利用度会降低。其他几项重要研究表明,与胡椒碱一起使用时,药代动力学特征没有明显变化。含有胡椒碱的药物使其药代动力学特性发生了重大变化,最终使生物利用度较低的药物获得了有利的结果。此外,这些改变还减少了副作用,延长了特定药物的半衰期(T1/2)。
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引用次数: 0
Comparative Analysis of the Gelsemium Alkaloids Metabolism in Human, Pig, Goat, and Rat Liver Microsomes 人、猪、山羊和大鼠肝脏微粒体中的格列齐特生物碱代谢对比分析
IF 2.3 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-04-04 DOI: 10.2174/0113892002298633240322071126
Yi-Rong Wang, Meng-Ting Zuo, Wen-Bo Xu, Zhao-Ying Liu
Aim: The aim of this study was to investigate the metabolism of Gelsemium elegans in human, pig, goat and rat liver microsomes and to elucidate the metabolic pathways and cleavage patterns of the Gelsemium alkaloids among different species. Methods: A human, goat, pig and rat liver microparticles were incubated in vitro. After incubating at 37°C for 1 hour and centrifuging, the processed samples were detected by HPLC/Qq-TOFMS was used to detect alcohol extract of Gelsemium elegans and its metabolites. Results: Forty-six natural products were characterized from alcohol extract of Gelsemium elegans and 13 metabolites were identified. These 13 metabolites belong to the gelsemine, koumine, gelsedine, humantenine, yohimbane, and sarpagine classes of alkaloids. The metabolic pathways included oxidation, demethylation and dehydrogenation. After preliminary identification, the metabolites detected in the four species were different. All 13 metabolites were detected in pig and rat microsomes, but no oxidative metabolites of Gelsedine-type alkaloids were detected in goat and human microsomes. Conclusion: In this study, Gelsemium elegans metabolic patterns in different species are clarified and the in vitro metabolism of Gelsemium elegans is investigated. It is of great significance for its clinical development and rational application. result: 46 natural products were characterized from alcohol extract of Gelsemium elegan and 13 metabolites were identified. The metabolic pathways included oxidation, demethylation and dehydrogenation. After preliminary identification, the metabolites detected in the four species were different. all 13 metabolites were detected in pig and rat, but no oxidative metabolites of Gelsedine-type alkaloids were detected in goat and human.
目的:本研究旨在调查人、猪、山羊和大鼠肝脏微粒体中的格尔木代谢,并阐明不同物种间格尔木生物碱的代谢途径和裂解模式。研究方法体外培养人、山羊、猪和大鼠肝脏微粒体。在 37°C 下孵育 1 小时并离心后,用 HPLC/Qq-TOFMS 对处理后的样品进行检测,以检测 Gelsemium elegans 的醇提取物及其代谢物。结果鉴定了46种 elegans Gelsemium 酒精提取物的天然产物,并确定了13种代谢物。这 13 种代谢物属于 Gelsemine、Koumine、Gelsedine、Humantenine、Yohimbane 和 sarpagine 类生物碱。代谢途径包括氧化、去甲基化和脱氢。经过初步鉴定,在四个物种中检测到的代谢物各不相同。在猪和大鼠的微粒体中检测到了全部 13 种代谢物,但在山羊和人的微粒体中没有检测到 Gelsedine 类生物碱的氧化代谢物。结论本研究阐明了不同物种中的凝胶苣苔代谢模式,并对凝胶苣苔的体外代谢进行了研究。研究结果:从大叶黄杨的醇提取物中鉴定出 46 种天然产物,并确定了 13 种代谢物。代谢途径包括氧化、去甲基化和脱氢。经过初步鉴定,在四个物种中检测到的代谢物是不同的。在猪和大鼠中检测到了全部 13 种代谢物,但在山羊和人中没有检测到 Gelsedine 类生物碱的氧化代谢物。
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引用次数: 0
Regulation of Gut Microbiota by Herbal Medicines 草药对肠道微生物群的调节作用
IF 2.3 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-04-04 DOI: 10.2174/0113892002287336240328083220
Yogita Shinde, Gitanjali Deokar
: Preserving host health and homeostasis is largely dependent on the human gut microbiome, a varied and ever-changing population of bacteria living in the gastrointestinal tract. This article aims to explore the multifaceted functions of the gut microbiome and shed light on the evolving field of research investigating the impact of herbal medicines on both the composition and functionality of the gut microbiome. Through a comprehensive overview, we aim to provide insights into the intricate relationship between herbal remedies and the gut microbiome, fostering a better understanding of their potential implications for human health.The gut microbiota is composed of trillions of microorganisms, predominantly bacteria, but also viruses, fungi, and archaea. It functions as a complex ecosystem that interacts with the host in various ways. It aids in nutrient metabolism, modulates the immune system, provides protection against pathogens, and influences host physiology. Moreover, it has been linked to a range of health outcomes, including digestion, metabolic health, and even mental well-being. Recent research has shed light on the potential of herbal medicines to modulate the gut microbiome. Herbal medicines, derived from plants and often used in traditional medicine systems, contain a diverse array of phytochemicals, which can directly or indirectly impact gut microbial composition. These phytochemicals can either act as prebiotics, promoting the growth of beneficial bacteria, or possess antimicrobial properties, targeting harmful pathogens. Several studies have demonstrated the effects of specific herbal medicines on the gut microbiome. For example, extracts from herbs have been shown to enhance the abundance of beneficial bacteria, such as Bifidobacterium and Lactobacillus, while reducing potentially harmful microbes. Moreover, herbal medicines have exhibited promising antimicrobial effects against certain pathogenic bacteria. The modulation of the gut microbiome by herbal medicines has potential therapeutic implications. Research suggests herbal interventions could be harnessed to alleviate gastrointestinal disorders, support immune function, and even impact metabolic health. However, it is important to note that individual responses to herbal treatments can vary due to genetics, diet, and baseline microbiome composition.
:维护宿主健康和平衡在很大程度上取决于人类肠道微生物组,即生活在胃肠道中的各种不断变化的细菌群。本文旨在探讨肠道微生物组的多方面功能,并阐明中草药对肠道微生物组的组成和功能的影响这一不断发展的研究领域。肠道微生物群由数万亿微生物组成,主要是细菌,也包括病毒、真菌和古细菌。肠道微生物群是一个复杂的生态系统,以各种方式与宿主相互作用。它有助于营养代谢,调节免疫系统,提供抵御病原体的保护,并影响宿主的生理机能。此外,它还与一系列健康结果有关,包括消化、新陈代谢健康甚至心理健康。最近的研究揭示了草药调节肠道微生物组的潜力。中草药源自植物,通常用于传统医学体系,含有多种植物化学物质,可直接或间接影响肠道微生物组成。这些植物化学物质既可以作为益生元,促进有益细菌的生长,也可以具有抗菌特性,针对有害病原体。一些研究已经证明了特定草药对肠道微生物组的影响。例如,从草药中提取的精华被证明能提高有益菌(如双歧杆菌和乳酸杆菌)的数量,同时减少潜在的有害微生物。此外,草药对某些致病菌也有很好的抗菌效果。草药对肠道微生物组的调节具有潜在的治疗意义。研究表明,可以利用草药干预来缓解胃肠道疾病,支持免疫功能,甚至影响代谢健康。不过,值得注意的是,由于遗传、饮食和微生物组基线组成的不同,个体对草药治疗的反应也会有所不同。
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引用次数: 0
Inhibitory Effects of Tricyclic Antidepressants on Human Liver Microsomal Morphine Glucuronidation: Application of IVIVE to Predict Potential Drug-Drug Interactions in Humans 三环类抗抑郁药对人体肝脏微粒体吗啡葡萄糖醛酸化的抑制作用:应用 IVIVE 预测人类潜在的药物相互作用
IF 2.3 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-01-05 DOI: 10.2174/0113892002270594231212090958
Verawan Uchaipichat
Background: Tricyclic antidepressants (TCAs) are commonly co-administered with morphine as an adjuvant analgesic. Nevertheless, there remains a lack of information concerning metabolic drug-drug interactions (DDIs) resulting from TCA inhibition on morphine glucuronidation Objective: This study aimed to (i) examine the inhibitory effects of TCAs (viz., amitriptyline, clomipramine, imipramine, and nortriptyline) on human liver microsomal morphine 3- and 6-glucuronidation and (ii) evaluate the potential of DDI in humans by employing in vitro-in vivo extrapolation (IVIVE) approaches. Method: The inhibition parameters for TCA inhibition on morphine glucuronidation were derived from the in vitro system containing 2% BSA. The Ki values were employed to predict the DDI magnitude in vivo by using static and dynamic mechanistic PBPK approaches Results: TCAs moderately inhibited human liver microsomal morphine glucuronidation, with clomipramine exhibiting the most potent inhibition potency. Amitriptyline, clomipramine, imipramine, and nortriptyline competitively inhibited morphine 3- and 6-glucuronide formation with the respective Ki values of 91 ± 7.5 and 82 ± 11 μM, 23 ± 1.3 and 14 ± 0.7 μM, 103 ± 5 and 90 ± 7 μM, and 115 ± 5 and 110 ± 3 μM. Employing the static mechanistic IVIVE, a prediction showed an estimated 20% elevation in the morphine AUC when co-administered with either clomipramine or imipramine, whereas the predicted increase was
背景:三环类抗抑郁药(TCAs)通常与吗啡合用,作为辅助镇痛药。然而,关于 TCA 对吗啡葡萄糖醛酸化的抑制作用所导致的代谢性药物间相互作用(DDIs)的信息仍然缺乏:本研究旨在:(i) 研究 TCAs(即阿米替林、氯米帕明、丙咪嗪和去甲替林)对人体肝脏微粒体吗啡 3- 和 6-葡萄糖醛酸化的抑制作用;(ii) 采用体外-体内外推法(IVIVE)评估 DDI 在人体中的潜在作用。方法:从含有 2% BSA 的体外系统中得出 TCA 对吗啡葡萄糖醛酸化的抑制参数。采用静态和动态机理 PBPK 方法,利用 Ki 值预测体内 DDI 的大小:三氯乙酸类药物对人肝脏微粒体吗啡葡萄糖醛酸化作用有中度抑制作用,其中氯米帕明的抑制效力最强。阿米替林、氯米帕明、丙咪嗪和去甲替林竞争性抑制吗啡 3 和 6-葡萄糖醛酸的形成,其 Ki 值分别为 91 ± 7.5 和 82 ± 11 μM、23 ± 1.3 和 14 ± 0.7 μM、103 ± 5 和 90 ± 7 μM,以及 115 ± 5 和 110 ± 3 μM。采用静态机理 IVIVE 预测显示,与氯米帕明或丙咪嗪合用时,吗啡的 AUC 估计会升高 20%,而预测的升高幅度是
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引用次数: 0
Drug-Protein Interactions Prediction Models Using Feature Selection and Classification Techniques 使用特征选择和分类技术的药物-蛋白质相互作用预测模型
IF 2.3 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-01-05 DOI: 10.2174/0113892002268739231211063718
T. Idhaya, A. Suruliandi, S. P. Raja
Background: Drug-Protein Interaction (DPI) identification is crucial in drug discovery. The high dimensionality of drug and protein features poses challenges for accurate interaction prediction, necessitating the use of computational techniques. Docking-based methods rely on 3D structures, while ligand-based methods have limitations such as reliance on known ligands and neglecting protein structure. Therefore, the preferred approach is the chemogenomics-based approach using machine learning, which considers both drug and protein characteristics for DPI prediction. Methods: In machine learning, feature selection plays a vital role in improving model performance, reducing overfitting, enhancing interpretability, and making the learning process more efficient. It helps extract meaningful patterns from drug and protein data while eliminating irrelevant or redundant information, resulting in more effective machine-learning models. On the other hand, classification is of great importance as it enables pattern recognition, decision-making, predictive modeling, anomaly detection, data exploration, and automation. It empowers machines to make accurate predictions and facilitates efficient decision-making in DPI prediction. For this research work, protein data was sourced from the KEGG database, while drug data was obtained from the DrugBank data machine-learning base. Results: To address the issue of imbalanced Drug Protein Pairs (DPP), different balancing techniques like Random Over Sampling (ROS), Synthetic Minority Over-sampling Technique (SMOTE), and Adaptive SMOTE were employed. Given the large number of features associated with drugs and proteins, feature selection becomes necessary. Various feature selection methods were evaluated: Correlation, Information Gain (IG), Chi-Square (CS), and Relief. Multiple classification methods, including Support Vector Machines (SVM), Random Forest (RF), Adaboost, and Logistic Regression (LR), were used to predict DPI. Finally, this research identifies the best balancing, feature selection, and classification methods for accurate DPI prediction. Conclusion: This comprehensive approach aims to overcome the limitations of existing methods and provide more reliable and efficient predictions in drug-protein interaction studies.
背景:药物-蛋白质相互作用(DPI)的鉴定在药物发现中至关重要。药物和蛋白质特征的高维度给准确预测相互作用带来了挑战,因此有必要使用计算技术。基于 Docking 的方法依赖于三维结构,而基于配体的方法有其局限性,如依赖于已知配体和忽略蛋白质结构。因此,首选的方法是基于化学基因组学的机器学习方法,这种方法在预测 DPI 时同时考虑了药物和蛋白质的特征。方法:在机器学习中,特征选择在提高模型性能、减少过拟合、增强可解释性以及提高学习过程效率方面起着至关重要的作用。它有助于从药物和蛋白质数据中提取有意义的模式,同时消除无关或冗余信息,从而建立更有效的机器学习模型。另一方面,分类也非常重要,因为它可以实现模式识别、决策、预测建模、异常检测、数据探索和自动化。它使机器能够做出准确的预测,并促进 DPI 预测中的高效决策。在这项研究工作中,蛋白质数据来自 KEGG 数据库,而药物数据则来自 DrugBank 数据机器学习库。研究结果为了解决药物蛋白质对(DPP)不平衡的问题,我们采用了不同的平衡技术,如随机过度采样(ROS)、合成少数过度采样技术(SMOTE)和自适应 SMOTE。鉴于与药物和蛋白质相关的特征数量庞大,特征选择变得十分必要。对各种特征选择方法进行了评估:相关性、信息增益 (IG)、Chi-Square (CS) 和救济。多种分类方法,包括支持向量机 (SVM)、随机森林 (RF)、Adaboost 和逻辑回归 (LR) 被用于预测 DPI。最后,本研究确定了准确预测 DPI 的最佳平衡、特征选择和分类方法。结论这种综合方法旨在克服现有方法的局限性,为药物蛋白相互作用研究提供更可靠、更高效的预测。
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引用次数: 0
Altitude effect on Propofol Pharmacokinetics in Rats. 海拔高度对大鼠丙泊酚药代动力学的影响
IF 2.1 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-01-01 DOI: 10.2174/0113892002285571240220131547
Lijun Li, Xuejun Wang, Sheng Wang, Li Wen, Haopeng Zhang

Background: Propofol is an intravenous agent for clinical anesthesia. As the influence of the hypobaric-hypoxic environment (Qinghai-Tibetan region, altitude: 2800-4300 m, PaO2: 15.1-12.4 kPa) on the metabolism of Propofol is complex, the research results on the metabolic characteristics of Propofol in high-altitude areas remain unclear. This study aimed to investigate the pharmacokinetic characteristics of Propofol in a high-altitude hypoxic environment using animal experiments.

Methods: Rats were randomly divided into three groups: high-altitude, medium-altitude, and plain groups. The time of disappearance and recovery of the rat righting reflex was recorded as the time of anesthesia induction and awakening, respectively. The plasma concentration of Propofol was determined by gas chromatography-mass spectrometry. A pharmacokinetic analysis software was used to analyze the blood-drug concentrations and obtain the pharmacokinetic parameters.

Results: We observed that when Propofol anesthetizes rats, the anesthesia induction time was shortened, andthe recovery time was prolonged with increased altitude. Compared with the plain group, the clearance ofPropofol decreased, whereas the half-life, area under the concentration-time curve, peak plasma concentration,and average residence time extension increased.

Conclusion: The pharmacokinetic characteristics of Propofol are significantly altered in high-altitude hypoxic environments.

背景介绍丙泊酚是一种用于临床麻醉的静脉注射剂。由于低压缺氧环境(青藏地区,海拔:2800-4300 m,PaO2:15.1-12.4 kPa)对丙泊酚代谢的影响较为复杂,有关丙泊酚在高海拔地区代谢特征的研究结果尚不明确。本研究旨在通过动物实验研究丙泊酚在高海拔缺氧环境下的药代动力学特征:方法:将大鼠随机分为三组:高海拔组、中海拔组和普通组。大鼠右反射消失和恢复的时间分别记录为麻醉诱导时间和苏醒时间。采用气相色谱-质谱法测定血浆中丙泊酚的浓度。使用药代动力学分析软件分析血药浓度,得出药代动力学参数:结果:丙泊酚麻醉大鼠时,随着海拔的升高,麻醉诱导时间缩短,恢复时间延长。与普通组相比,丙泊酚的清除率降低,而半衰期、浓度-时间曲线下面积、血浆峰浓度和平均停留时间延长:结论:在高海拔缺氧环境中,丙泊酚的药代动力学特征会发生显著变化。
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引用次数: 0
Carboxylesterase 1-Based Drug-Drug Interaction Potential of Remimazolam: In-Vitro Studies and Literature Review. 基于羧酸酯酶 1 的雷马唑仑药物相互作用潜力:体外研究和文献综述。
IF 2.1 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-01-01 DOI: 10.2174/0113892002308233240801104910
Karl-Uwe Petersen, Wolfgang Schmalix, Marija Pesic, Thomas Stohr

Background: The ultra-short-acting benzodiazepine remimazolam, approved for procedural sedation and general anesthesia, is inactivated by carboxylesterase 1 (CES1).

Objective: Remimazolam´s involvement in CES1-mediated drug-drug interactions (DDIs) was investigated.

Methods: Possible interactions of remimazolam were studied in co-exposure experiments with eleven different drugs. Further, substrates and inhibitors of CES1, identified in the literature, were evaluated for possible in-vivo inhibition using pharmacokinetic and Ki or IC50 values. Compounds with only one published inhibitory concentration and CES1 substrates lacking inhibition data were assigned conservative Ki values.

Results: In human liver homogenates and/or blood cells, remimazolam showed no significant inhibition of esmolol and landiolol metabolism, which, in turn, at up to 98 and 169 μM, respectively, did not inhibit remimazolam hydrolysis by human liver homogenates. In human liver S9 fractions, IC50 values ranged from 0.69 μM (simvastatin) and 57 μM (diltiazem) to > 100 μM (atorvastatin) and, for the remaining test items (bupropion, carvedilol, nelfinavir, nitrendipine, and telmisartan), they ranged from 126 to 658 μM. Remifentanil was ineffective even at 1250 μM. Guidance-conforming evaluation revealed no relevant drug-drug interactions with remimazolam via CES1. The algorithm-based predictions were consistent with human study data. Among CES1 inhibitors and substrates identified in the literature, only dapsone and rufinamide were found to be possible in-vivo inhibitors of remimazolam metabolism.

Conclusion: Data and analyses suggest a very low potential of remimazolam for pharmacokinetic DDIs mediated by CES1. The theoretical approach and compiled data are not specific to remimazolam and, hence, applicable in the evaluation of other CES1 substrates.

背景:被批准用于手术镇静和全身麻醉的超短效苯二氮卓类药物雷马唑仑会被羧酸酯酶1(CES1)灭活:目的:研究雷马唑仑在 CES1 介导的药物间相互作用(DDI)中的参与情况:方法:在与 11 种不同药物的共同暴露实验中研究了雷马唑仑可能产生的相互作用。此外,还利用药代动力学和 Ki 或 IC50 值评估了文献中确定的 CES1 底物和抑制剂在体内可能产生的抑制作用。对于只有一种已发表的抑制浓度的化合物和缺乏抑制数据的 CES1 底物,则采用保守的 Ki 值:在人肝匀浆和/或血细胞中,雷马唑仑对艾司洛尔和兰地洛尔的代谢无明显抑制作用,而艾司洛尔和兰地洛尔在人肝匀浆中的水解抑制浓度分别高达 98 μM 和 169 μM。在人体肝脏 S9 馏分中,IC50 值从 0.69 μM(辛伐他汀)和 57 μM(地尔硫卓)到大于 100 μM(阿托伐他汀)不等,其余测试项目(布丙酚、卡维地洛、奈非那韦、硝苯地平和替米沙坦)的 IC50 值从 126 μM 到 658 μM不等。Remifentanil 在 1250 μM 时也无效。符合指导原则的评估显示,通过 CES1 与雷米马唑仑没有相关的药物相互作用。基于算法的预测结果与人体研究数据一致。在文献中发现的CES1抑制剂和底物中,只有达哌酮和鲁非那胺可能是瑞马唑仑体内代谢的抑制剂:数据和分析表明,由 CES1 介导的雷马唑仑药代动力学 DDIs 可能性很低。理论方法和汇编的数据并非仅针对雷马唑仑,因此也适用于对其他 CES1 底物的评估。
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引用次数: 0
A Cross-sectional Comparative Analysis of Eleven Population Pharmacokinetic Models for Docetaxel in Chinese Breast Cancer Patients. 多西他赛在中国乳腺癌患者中的十一种人群药代动力学模型横断面比较分析
IF 2.1 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-01-01 DOI: 10.2174/0113892002322494240816032948
Genzhu Wang, Qiang Sun, Xiaojing Li, Shenghui Mei, Shihui Li, Zhongdong Li

Objective: Various population pharmacokinetic (PPK) models have been established to help determine the appropriate dosage of docetaxel, however, no clear consensus on optimal dosing has been achieved. The purpose of this study is to perform an external evaluation of published models in order to test their predictive performance, and to find an appropriate PPK model for Chinese breast cancer patients.

Methods: A systematic literature search of docetaxel PPK models was performed using PubMed, Web of Science, China National Knowledge Infrastructure, and WanFang databases. The predictive performance of eleven identified models was evaluated using prediction-based and simulation-based diagnostics on an independent dataset (112 docetaxel concentrations from 56 breast cancer patients). The -2×log (likelihood) and Akaike information criterion were also calculated to evaluate model fit.

Results: The median prediction error of eight of the eleven models was less than 10%. The model fitting results showed that the three-compartment model of Bruno et al. had the best prediction performance and that the three compartment model of Wang et al. had the best simulation effect. Furthermore, although the covariates that significantly affect PK parameters were different between them, seven models demonstrated that docetaxel PK parameters were influenced by liver function.

Conclusions: Three compartment PPK models may be predictive of optimal docetaxel dosage for Chinese breast cancer patients. However, for patients with impaired liver function, the choice of which model to use to predict the blood concentration of docetaxel still requires great care.

目的:目前已经建立了多种群体药代动力学(PPK)模型,以帮助确定多西他赛的合适剂量,但尚未就最佳剂量达成明确共识。本研究旨在对已发表的模型进行外部评估,以检验其预测性能,并找到适合中国乳腺癌患者的 PPK 模型:方法:利用PubMed、Web of Science、中国国家知识基础设施和万方数据库对多西他赛PPK模型进行了系统的文献检索。在一个独立数据集(56 名乳腺癌患者的 112 个多西他赛浓度)上,使用基于预测和基于模拟诊断的方法评估了 11 个已确定模型的预测性能。同时还计算了-2×log(似然比)和阿凯克信息准则,以评估模型的拟合度:结果:11 个模型中有 8 个模型的中位预测误差小于 10%。模型拟合结果显示,Bruno 等人的三室模型预测效果最好,Wang 等人的三室模型模拟效果最好。此外,尽管对PK参数有显著影响的协变量不同,但七个模型都表明多西他赛的PK参数受肝功能的影响:结论:三区室PPK模型可预测中国乳腺癌患者多西他赛的最佳用药剂量。结论:三腔PPK模型可以预测中国乳腺癌患者多西他赛的最佳用药剂量,但对于肝功能受损的患者来说,选择哪种模型来预测多西他赛的血药浓度仍需慎重。
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引用次数: 0
Effect of High Altitude Environment on Pharmacokinetic and Pharmacodynamic of Warfarin in Rats. 高海拔环境对大鼠华法林药代动力学和药效学的影响
IF 2.1 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-01-01 DOI: 10.2174/0113892002277930240201101256
Xiaojing Zhang, Hongfang Mu, Yan Zhong, Rong Wang, Wenbin Li

Background: High altitude environment affects the pharmacokinetic (PK) parameters of drugs and the PK parameters are an important theoretical basis for guiding the rational clinical use of drugs. Warfarin is an oral anticoagulant of the coumarin class commonly used in clinical practice, but it has a narrow therapeutic window and wide individual variation. However, the effect of high altitude environment on PK and pharmacodynamic (PD) of warfarin is unclear.

Objective: The objective of this study is to investigate the effect of a high altitude environment on PK and PD of warfarin in rats.

Method: Rats were randomly divided into plain group and high altitude group and blood samples were collected through the orbital venous plexus after administration of 2 mg/kg warfarin. Warfarin concentrations in plasma samples were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and PK parameters were calculated by the non-compartment model using WinNonlin 8.1 software. Meanwhile, the expression of PXR, P-gp and CYP2C9 in liver tissues was also determined by western blotting. The effect of high altitude environment on PD of warfarin was explored by measuring activated partial thromboplastin time (APTT) and prothrombin time (PT) values and then calculated international normalized ratio (INR) values based on PT.

Results: Significant changes in PK behaviors and PD of warfarin in high altitude-rats were observed. Compared with the plain-rats, the peak concentration (Cmax) and the area under the plasma concentration-time curve (AUC) increased significantly by 50.9% and 107.46%, respectively. At the same time, high altitude environment significantly inhibited the expression of PXR, P-gp and CYP2C9 in liver tissues. The results of the PD study showed that high altitude environments significantly prolonged PT, APTT and INR values.

Conclusion: High altitude environment inhibited the metabolism and increased the absorption of warfarin in rats and increased the effect of anticoagulant effect, suggesting that the optimal dose of warfarin for patients at high altitude should be reassessed.

背景:高海拔环境会影响药物的药代动力学(PK)参数,而PK参数是指导临床合理用药的重要理论依据。华法林是临床常用的香豆素类口服抗凝药,但其治疗窗窄,个体差异大。然而,高海拔环境对华法林的PK和药效学(PD)的影响尚不清楚:本研究旨在探讨高海拔环境对大鼠服用华法林的 PK 和 PD 的影响:方法:将大鼠随机分为普通组和高海拔组,在给药 2 mg/kg 华法林后通过眼眶静脉丛采集血样。采用液相色谱-串联质谱法(LC-MS/MS)测定血浆中华法林的浓度,并利用WinNonlin 8.1软件通过非室模型计算PK参数。同时,还采用免疫印迹法测定了PXR、P-gp和CYP2C9在肝组织中的表达。通过测定活化部分凝血活酶时间(APTT)和凝血酶原时间(PT)值,并根据PT值计算国际归一化比率(INR)值,探讨高海拔环境对华法林PD的影响:结果:观察到高海拔大鼠体内华法林的 PK 行为和 PD 发生了显著变化。与普通大鼠相比,华法林的峰浓度(Cmax)和血浆浓度-时间曲线下面积(AUC)分别显著增加了50.9%和107.46%。同时,高海拔环境明显抑制了肝组织中 PXR、P-gp 和 CYP2C9 的表达。PD研究结果表明,高海拔环境明显延长了PT、APTT和INR值:结论:高海拔环境抑制了华法林在大鼠体内的代谢,增加了大鼠对华法林的吸收,提高了华法林的抗凝效果。
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引用次数: 0
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Current drug metabolism
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