Ionic liquids as the effective technology for enhancing transdermal drug delivery: Design principles, roles, mechanisms, and future challenges

Ionic liquids (ILs) have been proven to be an effective technology for enhancing drug transdermal absorption. However, due to the unique structural components of ILs, the design of efficient ILs and elucidation of action mechanisms remain to be explored. In this review, basic design principles of ideal ILs for transdermal drug delivery system (TDDS) are discussed considering melting point, skin permeability, and toxicity, which depend on the molar ratios, types, functional groups of ions and inter-ionic interactions. Secondly, the contributions of ILs to the development of TDDS through different roles are described: as novel skin penetration enhancers for enhancing transdermal absorption of drugs;as novel solvents for improving the solubility of drugs in carriers;as novel active pharmaceutical ingredients (API-ILs) for regulating skin permeability, solubility, release, and pharmacokinetic behaviors of drugs;and as novel polymers for the development of smart medical materials. Moreover, diverse action mechanisms, mainly including the interactions among ILs, drugs, polymers, and skin components, are summarized. Finally, future challenges related to ILs are discussed, including underlying quantitative structure-activity relationships, complex interaction forces between anions, drugs, polymers and skin microenvironment, long-term stability, and in vivo safety issues. In summary, this article will promote the development of TDDS based on ILs.

Dose-response relationship between risk factors and incidence of COVID-19 in 325 hospitalized patients:A multicenter retrospective cohort study

BACKGROUND The epidemiological and clinical characteristics of coronavirus disease 2019(COVID-19)patients have been widely reported,but the assessment of doseresponse relationships and risk factors for mortality and severe cases and clinical outcomes remain unclear.AIM To determine the dose-response relationship between risk factors and incidence of COVID-19.METHODS In this retrospective,multicenter cohort study,we included patients with confirmed COVID-19 infection who had been discharged or had died by February 6,2020.We used multivariable logistic regression and Cox proportional hazard models to determine the dose-response relationship between risk factors and incidence of COVID-19.RESULTS It clarified that increasing risk of in-hospital death were associated with older age(HR:1.04,95%CI:1.01-1.09),higher lactate dehydrogenase[HR:1.04,95%confidence interval(CI):1.01-1.10],C-reactive protein(HR:1.10,95%CI:1.01-1.23),and procalcitonin(natural log-transformed HR:1.88,95%CI:1.22-2.88),and D-dimer greater than 1μg/m L at admission(natural log transformed HR:1.63,95%CI:1.03-2.58)by multivariable regression.D-dimer and procalcitonin were logarithmically correlated with COVID-19 mortality risk,while there was a linear dose-response correlation between age,lactate dehydrogenase,D-dimer and procalcitonin,independent of established risk factors.CONCLUSION Higher lactate dehydrogenase,D-dimer,and procalcitonin levels were independently associated with a dose-response increased risk of COVID-19 mortality.

A Study on the Dose-Response Relationship between Asbestos Exposure Level and Asbestosis among Workers in a Chinese Chrysotile Product Factory

The dose-response relationship for asbestos exposure in a chrysotile product factory was studied. The past gravimetric dust concentration values, obtained from different worksites, were converted into fiber concentration values according to conversion factors that were worked out by simultaneous sampling in this study. The conversions were made so that exposure could be expressed in fiber-years (f-yr). Asbestosis was diagnosed on the basis of chest radiographs and occupational histories. Cumulative dust exposure (f-yr) was calculated up to the date of diagnosis for asbestosis patients, and up to September 1982 for the remaining workers. A dose-response relationship expressed as fiber-years exposed vs cumulative prevalence of asbestosis was established by the life table method on the basis of these data. Predicted 3 and 1% prevalence of asbestosis corresponded to 43 and 22 f-yr exposure, respectively. Considering that a worker can work for 35 years, these doses are commensurate with dust concentrations of 1.22 and 0.63 f/ml, respectively. It is recommended that 1 f/ml be taken as the maximum allowable concentration of airborne asbestos dust for the workplace with an anticipated prevalence of about 2% asbestosis after 35 years of exposure. 1990 Academic Press, Inc.

Structure-Property Relationships and Models of Controlled Drug Delivery of Biodegradable Poly (D, L-lactic acid) Microspheres

An oil-in-water (O/W) solvent evaporation method was used to prepare biodegradable microspheresbased on poly(D,L-lactic acid) (PLA). Nifedipine, a hydrophobic drug, was chosen as a model molecule in the studyof drug entrapment and release. Effect of preparation conditions on the size, morphology, drug loading, and releaseprofiles of micropheres was investigated. Based on in vitro release experimental findings, a diffusion/dissolutionmodel was presented for quantitative description of the resulting release behaviors and drug release kinetics fromPLA microspheres analyzed. The mathematical models were used to predict the effect of microstructure on theresulting drug release. It provided an approach to determine the suitable structure parameters for microspheres toachieve desired drug release behaviors.

Serum Ferritin and the Risk of Metabolic Syndrome:A Systematic Review and Dose-Response Meta-Analysis of Cross-sectional Studies

Objective This study aims to assess the dose-response relationship between serum ferritin(SF)and metabolic syndrome(MetS)in the two sexes.Methods We searched for articles on PubMed,the Cochrane Library,EMBASE,and the Web of Science databases that were published from 1950 to 2020.The summary odds ratio(OR)and 95%confidence interval(CI)of the association between SF and MetS were estimated using a random-effects model through a meta-analysis.Based on the methods described by Greenland and Longnecker,we explored the dose-response relationship between the two sexes.Results This study included 14 studies and 74,710 samples.The results of the classical meta-analysis showed that SF was positively associated with MetS(OR=1.77,95%CI:1.59–1.98).Regarding the components of MetS(8 studies included),the results showed that SF was positively associated with abdominal obesity(OR=1.42,95%CI:1.24–1.62),elevated fasting plasma glucose(OR=1.84,95%CI:1.50–2.25),elevated blood pressure(OR=1.17,95%CI:1.08–1.26),elevated triglycerides(OR=2.09,95%CI:1.72–2.54),and reduced high-density lipoprotein cholesterol(OR=1.33,95%CI:1.19–1.49).In the linear dose-response meta-analysis,the ORs of males,females,and postmenopausal females were 1.14(95%CI:1.13–1.16),1.32(95%CI:1.26–1.39),and 1.34(95%CI:1.22–1.47),respectively.Conclusions Our study shows that SF is significantly and positively associated with MetS,and the risk in the male population is higher than that in the female population.This finding also supports the recommendation of using SF as an early warning marker of MetS.

Quantitative Structure Activity Relationship Studies of Benzoxazinone Derivative Antithrombotic Drug Using New Three-dimensional Structure Descriptors

A novel three-dimensional holographic vector of atomic interaction field（3D-HoVAIF） was used to describe the chemical structures of 23 benzoxazinone derivatives as antithrombotic drugs.Here a quantitative structure activity relationship（QSAR） model was built by partial least-squares（PLS） regression.The estimation stability and prediction ability of the model were strictly analyzed by both internal and external validations.The correlation coefficients of established PLS model,leave-one-out（LOO） cross-validation,and predicted values versus experimental ones of external samples were R2=0.899,RCV2=0.854 and Qext2=0.868,respectively.These values indicated that the built PLS model had both favorable estimation stability and good prediction capabilities.Furthermore,the satisfactory results showed that 3D-HoVAIF could preferably express the information related to the biological activity of benzoxazinone derivatives.

Analysis on Epidemiology Causality Relationship Theory under Food and Drug Safety Context

Violation of food and drug safety and other hazard crimes have the features of long latency and multiple factors. Traditional criminal law causality theory is no controversy to determine causality of criminal responsibility, thus it is necessary to introduce the epidemiology causality theory-it is a kind of causality theory based on epidemic diseases, and it is the high degree of probability in the determination of causality in criminal laws so as to solve the traditional attribution problem, but the theory also exists applicable restriction conditions in judicial practice.

药物的定量结构色谱保留关系研究

采用人工神经网络(ANN)建立了110种药物的结构与色谱保留之间的定量关系(QSRR)模型,并将其与偏最小二乘回归(PLSR)模型进行比对.110种药物的ANN模型自相容能力的复相关系数(R^(2))为0.9191,泛化能力的复相关系数(R^(2))为0.9365;而PLSR模型的复相关系数(R^(2))为0.8275和0.8514.结果表明,ANN模型的自相容能力、泛化能力优于PLSR模型.采用集内集和集外集对模型进行检验时,ANN模型的复相关系数(R^(2))为0.9105,也优于PLSR模型,且ANN预测精密度和准确度更高.

他汀类药物与骨密度:一项药物靶向孟德尔随机化分析

背景:观察性研究表明他汀类药物可能对骨密度具有保护作用,这使其成为潜在的骨质疏松症治疗药物之一。目的:通过孟德尔随机化方法来评估药物靶点介导的脂质表型与骨密度之间的因果关系。方法:从IEU Open GWAS数据库获取了与他汀类药物相关的单核苷酸多态性以及骨密度相关数据。主要分析方法是逆方差加权法,同时也使用了加权中位数法、简单中位数法、加权中值方法和MR-Egger回归法。使用β值和95%CI来评估他汀类药物与骨密度之间的因果关系;另外,进行敏感性分析以验证结果的可靠性,使用Cochran’s Q检验来评估异质性,使用MR-Egger截距检验是否存在水平多效性。使用留一法分析确定是否有单个或多个单核苷酸多态性影响了结果。结果与结论:他汀类药物作用靶点——3-羟基-3-甲基戊二酰辅酶A还原酶介导的低密度脂蛋白胆固醇与足跟定量超声骨密度(β=-0.086,95%CI:-0.117至-0.055,P=5.42×10^(-8))和全身骨密度(β=-0.193,95%CI:-0.288至-0.098,P=7.35×10^(-5))呈显著相关。该研究结果支持了他汀类药物对骨密度的保护作用。这些发现不仅加深了对胆固醇相关基因和骨骼健康关系的理解,还揭示了改善骨密度的潜在治疗靶点。

低剂量利妥昔单抗治疗特发性膜性肾病的有效性和安全性

目的:探讨低剂量利妥昔单抗治疗特发性膜性肾病(IMN)的有效性和安全性。方法:检索首都医科大学附属北京友谊医院电子病历系统,收集2020年1月1日至2023年6月30日应用低剂量利妥昔单抗(375 mg/m 2静脉滴注、给药1次,此后根据患者情况决定是否追加用药)治疗的IMN患者的病历资料,包括性别,年龄,应用利妥昔单抗前和用药后1、3、6个月的24 h尿蛋白定量、血浆白蛋白、血清肌酐(Scr)、外周血CD19+B细胞数量,对疗效(完全缓解、部分缓解、未缓解)和不良反应发生情况进行回顾性统计分析。结果:纳入本研究的患者共32例,男性24例,女性8例;年龄(59±14)岁。应用利妥昔单抗后1、3、6个月患者的24 h尿蛋白呈下降趋势,但差异无统计学意义(P>0.05);与用药前[(23.85±5.65)g/L]比,用药后血浆白蛋白呈上升趋势,分别为(28.06±5.91)、(30.56±6.87)和(32.47±7.69)g/L,差异有统计学意义(P<0.05);血清肌酐水平用药前后均在参考值范围,差异无统计学意义(P>0.05);用药后外周血CD19+B细胞个数明显下降,差异有统计学意义(P<0.05)。用药后6个月的有效率为65.62%(21/32),其中完全缓解率9.38%(3/32),部分缓解率56.25%(18/32),未缓解率34.38%(11/32)。8例患者出现轻度不良反应,予对症治疗后均好转。结论:低剂量利妥昔单抗治疗IMN有较好的疗效且较安全。

β-咔啉杂合咪唑类化合物的合成及体外抗肿瘤活性

以L-色氨酸为原料,经Pictet-Spengler环化反应、氧化脱羧、N^(9)-烷基化等反应步骤,合成了一系列β-咔啉杂合咪唑类化合物。目标化合物经1HNMR、13CNMR和HRMS确证结构。采用MTT(噻唑蓝)法检测了目标化合物对肺癌细胞(A-549)、胃癌细胞(BGC-823)、结肠癌细胞(CT-26)、肝癌细胞(Bel-7402)和乳腺癌细胞(MCF-7)的体外抗肿瘤活性。结果表明,大部分化合物对这5种肿瘤细胞株表现出了中等及优良的抑制活性。特别是3-苄基-11-(3-苯基丙基)-11H-咪唑并[1',5':1,2]吡啶并[3,4-b]吲哚(Ⅴr)对CT-26、Bel-7402和MCF-7细胞株的体外抗肿瘤活性较高,对应的半数抑制浓度(IC_(50))分别为(9.5±0.4)、(7.4±0.3)和(8.8±0.6)µmol/L。分子对接结果表明,3-苄基-11-甲基-11H-咪唑并[1',5':1,2]吡啶并[3,4-b]吲哚(Ⅴa)、3-苄基-11-丁基-11H-咪唑并[1',5':1,2]吡啶并[3,4-b]吲哚(Ⅴf)和Ⅴr与VEGFR^(2)激酶的多个氨基酸残基具有良好的结合作用。

白芥子穴位给药配伍对延胡索乙素药效动力学影响的研究

目的:探讨“冬病夏治”全方配伍和无白芥子配伍延胡索乙素在模型家兔“肺俞”穴皮下药代动力学特征及药代动力学-药效动力学(PK-PD)模型的相关性。方法:支气管哮喘模型家兔随机分成延胡索单方组、缺白芥子组、全方组,微透析技术收集14 h穴位皮下透析液,液相色谱-质谱法(Liquid Chromatography Mass Spectrometry,LCMS)法检测方中君药延胡索主要成分延胡索乙素浓度,获得药代动力学参数;酶联免疫吸附试验(ELISA)法检测对应时间点模型动物血清中IgE水平,获得药效学参数;对药动学、药效学参数进行PK-PD模型拟合。结果:白芥子配伍后的药峰浓度(C_(max))、药时曲线下面积(AUC_(0-t))、平均滞留时间(MRT_(0-t))均显著增加(P<0.01,P<0.01,P<0.05),达峰时间(T_(max))提前(P<0.01);“浓度-时间-效应”三维曲线表明,方中有白芥子配伍时,药效出现更快、消退更慢,起效时间晚于峰浓度,具有一定滞后性。结论:动力学参数、PK-PD模型结果表明,白芥子配伍能够改变“方中君药”——延胡索的主要成分延胡索乙素穴位局部的皮下分布,促进方中君药有效成分快速吸收,延长滞留时间,在方剂中起到主药、改善其他药物分布的“双重”作用。

菊科橐吾属植物中艾里莫芬烷型倍半萜化合物细胞毒性研究进展

艾里莫芬烷型倍半萜是由15个碳原子组成的双环倍半萜,主要从菊科植物橐吾属植物中提取,具有抗肿瘤、抗菌、抗炎等生物活性。艾里莫芬烷型倍半萜的基本结构类型主要包括内酯环、二聚体、呋喃环、降碳型和C19等。本文综述了艾里莫芬烷型倍半萜的相关结构及其潜在的细胞毒性,阐述其特定化学结构特点对抗肿瘤活性的影响,以期为研究其抗肿瘤的临床治疗效果提供参考。

不同体位对膝关节镜手术患者蛛网膜下腔阻滞罗哌卡因ED50的影响

目的研究不同体位对膝关节镜手术患者蛛网膜下腔阻滞罗哌卡因半数有效剂量(ED50)的影响。方法选取90例需要进行择期单侧膝关节镜手术的患者,年龄18~64岁,ASA分级为I或Ⅱ级,体质量指数(BMI)为18~24 kg/m^(2),根据不同的体位,这些患者被分为三组,分别是头高脚低0°组、10°组和20°组。试验采用序贯法,每组第1例患者均获得蛛网膜下腔注射0.75%罗哌卡因11.25 mg,接下来根据前1例患者蛛网膜下腔阻滞是否有效,决定下一位患者的剂量是否减少或增加0.75 mg。使用概率单位回归分析法,计算罗哌卡因在不同体位下的蛛网膜下腔阻滞ED50。结果三组的ED50分别为:0°组为11.625 mg(95%CI:11.259~11.991 mg);10°组为11.325 mg(95%CI:10.968~11.669 mg);20°组为9.373 mg(95%CI:8.963~9.765 mg)。与0°组比较,10°组和20°组运动阻滞恢复时间缩短,20°组ED50降低、最高感觉阻滞平面下降、运动阻滞起效时间延长(P<0.05);与10°组比较,20°组ED50降低、运动阻滞恢复时间缩短(P<0.05)。三组术中低血压和恶心呕吐发生率比较差异无统计学意义(P>0.05)。结论膝关节镜手术患者在保持头高脚低0°、10°、20°体位时,蛛网膜下腔阻滞罗哌卡因的ED50分别为11.625 mg、11.325 mg和9.373 mg。通过头高脚低20°的姿势可以降低蛛网膜下腔阻滞的罗哌卡因ED50。

An Analysis of Specific Categories of Birth Defects and Developmental Disabilities for Children of Participants of the Air Force Health Study

Background: The Air Force Health Study collected reproductive outcomes for live-born children of male Air Force veterans of the Vietnam War. Methods: Dioxin values for participants were obtained from blood samples. Analyses were conducted of occurrence of 16 specific categories of birth defects and developmental disabilities. Children were categorized as conceived before and after the start of participants’ Vietnam War service. Children conceived before the start of Vietnam War service were treated as being conceived when their fathers had unquantifiable dioxin values. Children conceived after the start of Vietnam War service for participants with missing dioxin values were excluded from primary analyses, but were used to assess the impact of their exclusion on conclusions. Correlation between values for specific categories for multiple children fathered by the same participant was accounted for. The dose-response relationship was treated as a step function increasing for dioxin values larger than adaptively identified individual thresholds changing with the specific category. Results: For 15 of 16 specific categories, the probability of occurrence increased substantially for a sufficiently high dioxin level above identified thresholds. Exclusion of children due to missing dioxin likely did not affect these results. Conclusions: Results supported the conclusion of substantial adverse effects on a wide variety of specific categories of birth defects and developmental disabilities due to sufficiently high exposures to dioxin, a toxic contaminant of Agent Orange used for herbicide spraying in the Vietnam War. Results may hold more generally, but might also have been affected by a variety of limitations.

阿司匹林对认知功能的影响

阿司匹林是预防心脑血管事件的常用药物,有多个专家共识推荐使用低剂量阿司匹林(75~150 mg/d)对心脑血管疾病进行二级预防。该文旨在探讨阿司匹林发挥对心脑血管事件预防作用以及对认知功能的影响。

通过语义三元组和网络药理学发现抑郁症药物

基于抑郁症相关医学文献信息挖掘潜在抗抑郁药并揭示其抗抑郁相关机制和通路,为抑郁症药物的研发提供方向。通过SemRep提取与抑郁症相关的语义三元组,限定语义关系和语义类型确定潜在药物。从PubChem、GeneCards等数据库获取潜在药物和抑郁症的靶点并取二者的交集后,构建交集靶点的蛋白相互作用(protein-protein interaction,PPI)网络。通过Cytoscape分析PPI网络,确定核心靶点。通过R软件对核心靶点进行GO(gene ontology)和KEGG(kyoto encyclopedia of genes and genomes)分析。最后,通过AutodockTool软件对核心靶点与潜在药物进行分子对接分析。结果表明Hydrocortisone、Benzodiazepine、Curcumin、Metformin、Nicotine、Risperidone等6种药物为潜在抗抑郁药,这些药物通过炎症、神经递质的调节等生物过程以及MAPK(mitogen activated protein kinase)、TNF(tumor necrosis factor)等信号通路发挥抗抑郁作用,并且与抑郁症核心靶点间结合性能良好。此外,Benzodiazepine和Nicotine在临床实践中存在成瘾和滥用的风险,在抑郁症治疗中的作用可能有限。可见基于语义三元组和网络药理学发现抑郁症药物新知识,可以节约时间和经济成本,也能为临床药物使用提供新的方向。

可电离脂质及其对载核酸药物脂质纳米粒转染效率和安全性的影响研究进展

可电离脂质构成的脂质纳米粒(LNP)是目前临床上最具应用前景的非病毒核酸药物递送载体之一,在递送基因治疗药物和疫苗等方面具有巨大潜力。LNP的主要成分可电离脂质对LNP的内涵体逃逸率、转染效率、器官靶向性和安全性等起决定性作用。可电离脂质的亲水头基含有叔胺基,可提高LNP缓冲能力,进而改变其p Ka值,并含有咪唑,可增强mRNA-LNP的稳定性和转染活性;连接体含有酯基能够高效诱导基因沉默并可提高其降解速率和安全性;疏水尾数量在3~4个,具有1~2个不饱和度和8~18个碳链长度时,LNP能够高效诱导基因沉默,同时含有分支或不对称的疏水尾时可提高LNP的转染效率。本综述从可电离脂质的化学结构出发,总结了其结构对载核酸药物LNP的转染效率和安全性的影响,并总结归纳其构效关系,为新型可电离脂质的研究提供借鉴。

吲哚芳砜类化合物定量构效关系研究

从文献中选取76种具有抗人类免疫缺陷病毒(HIV)活性的吲哚芳砜类化合物,采用分子结构描述符对其进行结构表征。通过逐步回归分析法,从28个结构参数中筛选出10个参数作为回归方程的最终变量,构建了吲哚芳砜类化合物的分子结构与抗HIV活性之间的定量关系模型。所建模型的复相关系数R为0.904 9,表明该模型的拟合效果较好,可以反映吲哚芳砜类化合物分子结构与生物活性之间的相关关系。留一法(LOO)交互检验结果表明,R为0.856 7,标准偏差(Std)为0.445 5,说明所建模型具有较好的稳定性和可靠性,可以用于预测吲哚芳砜类化合物的抗HIV活性。

Prediction of Blood-to-Brain Barrier Partitioning of Drugs and Organic Compounds Using a QSPR Approach

The purpose of this study was to develop a quantitative structure–property relationship(QSPR) model based on the enhanced replacement method(ERM) and support vector machine(SVM) to predict the blood-to-brain barrier partitioning behavior(log BB) of various drugs and organic compounds. Different molecular descriptors were calculated using a dragon package to represent the molecular structures of the compounds studied. The enhanced replacement method(ERM) was used to select the variables and construct the SVM model. The correlation coefficient, R^2, between experimental results and predicted log BB was 0.878 and 0.986, respectively. The results obtained demonstrated that, for all compounds, the log BB values estimated by SVM agreed with the experimental data, demonstrating that SVM is an effective method for model development, and can be used as a powerful chemometric tool in QSPR studies.