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Application of Physiologically Based Pharmacokinetic Modeling in the Research of Anti-HIV Drugs. 基于生理的药代动力学建模在抗hiv药物研究中的应用。
IF 1.8 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-01-01 DOI: 10.2174/0113892002392579250902053006
Yuewu Xie, Wenting Zhang, Huilong Wang, Haifeng Hu, Shengpeng Zhang, Shaozhen Wang, Jun Han

Physiologically based pharmacokinetic (PBPK) modeling is a computational technique that uses the physicochemical properties of drugs and physiological information to simulate plasma and tissue concentrations. PBPK modeling has become a mainstream approach in drug research and development, frequently employed to support regulatory packages for new drug applications. Understanding the pharmacokinetic characteristics of anti-HIV drugs is essential for successful treatment. In recent decades, PBPK modeling has been commonly used in the development and clinical therapy of anti-HIV medications. This review discusses the prevalence and application of PBPK modeling in the pharmacokinetics of anti-HIV drugs. Among the articles retrieved for this review, PBPK modeling was predominantly employed for anti-HIV drugs in contexts, such as pregnancy, drug-drug interactions, and pediatrics. The most commonly used software programs for this model are Simcyp, MATLAB, and PK-sim. This review will provide insights for researchers in applying PBPK models to manage patients with HIV infection, aiming to enhance the efficacy of anti-HIV drug therapy and prevent undesirable adverse effects.

基于生理的药代动力学(PBPK)建模是一种利用药物的物理化学性质和生理信息来模拟血浆和组织浓度的计算技术。PBPK建模已成为药物研究和开发的主流方法,经常用于支持新药应用的监管包。了解抗hiv药物的药代动力学特征对成功治疗至关重要。近几十年来,PBPK模型已广泛用于抗hiv药物的开发和临床治疗。本文综述了PBPK模型在抗hiv药物药代动力学中的应用。在本综述检索到的文章中,PBPK模型主要用于抗hiv药物,如妊娠、药物-药物相互作用和儿科。该模型最常用的软件程序是Simcyp、MATLAB和PK-sim。本综述将为研究人员应用PBPK模型管理HIV感染患者提供参考,旨在提高抗HIV药物治疗的疗效,防止不良反应的发生。
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引用次数: 0
The Intricacies of Polypharmacy and Drug Interactions in Schizophrenia Treatment. 精神分裂症治疗中药物相互作用的复杂性。
IF 1.8 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-01-01 DOI: 10.2174/0113892002382047250930160449
Jyotsana Dwivedi, Mohd Seemab, Pranay Wal, Piyali Dey, Thirumalaikumaran Rathinam, Avula Dhamini, Abida Khan

Introduction: Polypharmacy is frequently practiced in the management of schizophrenia due to its chronic nature, recurrent relapses, and associated comorbidities. While combining psychotropic medications may benefit patients with treatment-resistant symptoms, it poses risks such as drug-drug interactions (DDIs), adverse effects, and reduced medication adherence. The absence of uniform prescribing standards further complicates clinical decision-making.

Methods: This narrative review was conducted using a scoping methodology. Databases including Pub- Med, Scopus, and Web of Science were searched for English-language publications from 2000 to 2024. Search terms included "schizophrenia," "polypharmacy," "drug-drug interactions," "clinical outcomes," and "pharmacogenetics." Eligible sources included clinical trials, observational studies, systematic reviews, and treatment guidelines. Exclusion criteria were non-English articles, gray literature, and individual case reports.

Results: Polypharmacy is reported in 30-60% of individuals with schizophrenia, especially in institutionalized or treatment-resistant populations. Treatment regimens often involve multiple antipsychotics along with adjunctive antidepressants or mood stabilizers. This approach is associated with increased risks of metabolic syndrome, cardiovascular events (e.g., QT prolongation), extrapyramidal symptoms, and decreased adherence. Interindividual variability in pharmacogenetics further affects drug efficacy and safety. Innovative approaches like genotype-guided therapy and computerized clinical decisionsupport systems are promising but not yet widely implemented.

Discussion: Although polypharmacy may offer symptomatic relief in specific scenarios, it requires careful management due to its potential to cause harm. Rational prescribing, close monitoring, and attention to individual patient factors such as pharmacogenetic profiles are essential to optimize therapy.

Conclusion: Ensuring a balance between therapeutic benefit and adverse effects is crucial when employing polypharmacy in schizophrenia treatment. Integrating personalized medicine strategies, regular monitoring, and deprescribing practices when feasible can enhance clinical outcomes and patient safety.

简介:由于精神分裂症的慢性、反复发作和相关的合并症,多种药物治疗在精神分裂症的治疗中经常被采用。虽然联合使用精神药物可能对有治疗难治性症状的患者有益,但它也带来了诸如药物-药物相互作用(ddi)、不良反应和降低药物依从性等风险。缺乏统一的处方标准进一步使临床决策复杂化。方法:采用范围界定方法进行叙述性综述。在PubMed、Scopus和Web of Science等数据库中检索了2000年至2024年的英语出版物。搜索词包括“精神分裂症”、“多种药物”、“药物相互作用”、“临床结果”和“药物遗传学”。符合条件的资料来源包括临床试验、观察性研究、系统评价和治疗指南。排除标准为非英文文章、灰色文献和个案报告。结果:据报道,30-60%的精神分裂症患者中存在多种药物,特别是在机构或治疗抵抗人群中。治疗方案通常包括多种抗精神病药物以及辅助抗抑郁药或情绪稳定剂。这种方法与代谢综合征、心血管事件(如QT间期延长)、锥体外系症状和依从性降低的风险增加有关。药物遗传学的个体间差异进一步影响药物的有效性和安全性。像基因型引导治疗和计算机临床决策支持系统这样的创新方法很有希望,但尚未广泛实施。讨论:虽然多种药物治疗在特定情况下可以缓解症状,但由于其潜在的危害,需要仔细管理。合理的处方、密切的监测和对个体患者因素(如药物遗传谱)的关注是优化治疗的必要条件。结论:综合用药治疗精神分裂症时,确保疗效和不良反应的平衡是至关重要的。在可行的情况下,整合个性化医疗策略、定期监测和处方化做法可以提高临床结果和患者安全。
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引用次数: 0
Metabolic Stability and Metabolite Identification of CYP450 Probe Substrates in Ferret Hepatocytes 雪貂肝细胞中 CYP450 探针底物的代谢稳定性和代谢物鉴定
IF 2.3 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-10 DOI: 10.2174/0113892002302675240903075500
Jiang Pu, Wanyong Feng
Background: Ferrets exhibit similar lung physiology to humans and display similar clinical signs following influenza infection, making them a valuable model for studying high susceptibility and infection patterns. However, the metabolic fate of several common human CYP450 probe substrates in ferrets is still unknown and has not been studied. Objective: The purpose of this study was to investigate the metabolism of nine human CYP450 probe substrates in ferret hepatocytes and explore their metabolic rate differences between ferrets and other species. Method: Nine substrates were individually incubated in ferret hepatocytes for up to 120 min. At each time point, 30 μL mixtures were extracted for stability analysis using LC-MS/MS methods. After a 120-minute incubation period, 400 μL of the mixtures were extracted for metabolite identification using UHPLC-QExactive Plus. Results: The metabolic clearance was determined as follows: diclofenac > taxol > chlorzoxazone > dextromethorphan > midazolam > omeprazole > bupropion > phenacetin > testosterone. Seven metabolites were identified from phenacetin. Deethylation was found to be the major pathway, and the major metabolite was matched with acetaminophen as probed with the CYP1A2 enzyme. Six metabolites were identified from diclofenac. Glucuronidation was the primary pathway, and a metabolite was found to match 4-OH-diclofenac as probed with the CYP2C9 enzyme. Twenty-two metabolites were identified from omeprazole. The major metabolic pathways included mono-oxygenation and sulfoxide to thioether conversion. No metabolite was found to match with the 5-OH-omeprazole as probed with the CYP2C19 enzyme. Twenty-two metabolites were identified from dextromethorphan. Demethylation was found to be the major metabolic pathway, and one demethylation metabolite was matched with dextrorphan as probed with CYP2D6. Fourteen metabolites were identified from midazolam. Mono-oxygenation was found to be the primary metabolic pathway, and one of the mono-oxygenation metabolites was matched with 1-OH-midazolam as probed with the CYP3A4 enzyme. Eight metabolites were identified from testosterone. Mono-oxygenation and glucuronidation were identified as the major metabolic pathways. One mono-oxygenation was matched with 6-β-testosterone as probed with CYP3A4 enzyme. Six metabolites were identified from taxol. Hydrolysis and mono-oxygenation were the top two metabolic pathways. No metabolite was matched with 6-α-OH-taxol as probed with the CYP2C8 enzyme. Ten metabolites were identified from bupropion. Mono-oxygenation and hydrogenation were identified as the top two metabolic pathways. No mono-oxygenation metabolite was matched with hydroxy-bupropion as probed with the CYP2B6 enzyme. Nine metabolites were identified from chlorzoxazone. Monooxygenation and sulfation were the top two metabolic pathways. One mono-oxygenation metabolite was matched with 6-OH-chlorzoxazone as probed with the CYP2E1 enzyme. Concl
背景:雪貂的肺部生理结构与人类相似,感染流感后会出现类似的临床症状,因此是研究高易感性和感染模式的宝贵模型。然而,几种常见的人类 CYP450 探针底物在雪貂体中的代谢命运尚不清楚,也没有进行过研究。研究目的本研究旨在调查九种人类 CYP450 探针底物在雪貂肝细胞中的代谢情况,并探讨它们在雪貂和其他物种之间的代谢率差异。研究方法:将九种底物分别在雪貂肝细胞中培养 120 分钟。在每个时间点,提取 30 μL 混合物,使用 LC-MS/MS 方法进行稳定性分析。培养 120 分钟后,提取 400 μL 混合物,使用 UHPLC-QExactive Plus 进行代谢物鉴定。结果代谢清除率的测定结果如下:双氯芬酸;紫杉醇;氯唑沙宗;右美沙芬;咪达唑仑;奥美拉唑;安非他明;苯乙双胍;睾酮。从苯乙哌啶中鉴定出了七种代谢物。发现去乙基化是主要途径,主要代谢物与对乙酰氨基酚相匹配,通过 CYP1A2 酶进行探查。从双氯芬酸中鉴定出了六种代谢物。葡萄糖醛酸化是主要途径,发现一种代谢物与 CYP2C9 酶检测的 4-OH-diclofenac 相匹配。从奥美拉唑中鉴定出 22 种代谢物。主要代谢途径包括单氧化和亚砜到硫醚的转化。经 CYP2C19 酶检测,未发现与 5-OH-omeprazole 相符的代谢物。从右美沙芬中鉴定出 22 种代谢物。发现去甲基化是主要的代谢途径,其中一种去甲基化代谢物与右美沙芬的 CYP2D6 检测匹配。从咪达唑仑中鉴定出 14 种代谢物。发现单氧合作用是主要的代谢途径,其中一个单氧合作用代谢物与 CYP3A4 酶检测的 1-OH-midazolam 匹配。从睾酮中鉴定出了八种代谢物。单氧合和葡萄糖醛酸化被确定为主要的代谢途径。在 CYP3A4 酶的作用下,6-β-睾酮与一种单氧化作用相匹配。从紫杉醇中鉴定出六种代谢物。水解和单氧化是前两种代谢途径。经 CYP2C8 酶检测,没有代谢物与 6-α-OH-taxol 匹配。从安非他明中鉴定出了 10 种代谢物。单氧合作用和氢化作用被确定为最主要的两种代谢途径。经 CYP2B6 酶检测,羟基安非他酮没有与单氧代谢物匹配。从氯唑沙宗中鉴定出九种代谢物。单氧合作用和硫化作用是最主要的两种代谢途径。一种单氧代谢物与 6-OH-chlorzoxazone 相匹配,通过 CYP2E1 酶进行检测。结论九种人类 CYP 探针底物在雪貂肝细胞中被明确代谢,在雪貂肝细胞中显示出底物依赖性代谢率,在小鼠、大鼠、狗、猴和人类肝细胞中显示出物种依赖性代谢率。除 6-a-5-OH-奥美拉唑、6-α-OH-他克索和羟基安非他酮外,其他六种探针底物在雪貂肝细胞中的特异性代谢物均被检测到,并分别与六种人类 CYP 酶进行了探针鉴定:在雪貂肝细胞中,所有九种底物都被代谢,且 CYP450 酶活性显著。睾酮和苯乙酮在代谢过程中的清除率最高,CYP450 1A2 和 3A4 同工酶是参与代谢的主要酶。除了 6-a-5-OH-奥美拉唑、6-α-OH-他克索和 OH-安非他酮外,其余的独特探针都与特定 CYP450 底物的代谢物相匹配。
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引用次数: 0
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 1.8 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
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Current drug metabolism
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