A Study on the Multi-Compartment Linear Circulation Pharmacokinetic Model for the Targeting Drug Delivery System

By analyzing the observed phenomena and the data collected in the study, a multi-compartment linear circulation model for targeting drug delivery system was developed and the function formulas of the drug concentration-time in blood and target organ by computing were figured out. The drug concentration-time curve for target organ can be plotted with reference to the data of drug concentration in blood according to the model. The pharmacokinetic parameters of the drug in target organ could also be obtained. The practicability of the model was further checked by the curves of drug concentration-time in blood and target organ(liver) of liver-targeting nanoparticles in animal tests. Based on the liver drug concentration-time curves calculated by the function formula of the drug in target organ, the pharmacokinetic behavior of the drug in target organ(liver) was analyzed by statistical moment, and its pharmacokinetic parameters in liver were obtained. It is suggested that the (relative targeting index( can be used for quantitative evaluation of the targeting drug delivery systems.

Non-human primate models in drug addiction deserve more attention

Dear Editor, The process of relapse involves firm or aberrant memories of environmental cues associated with drug craving or addiction. To date, it is not known where these memories are stored in the brain, what kinds of regulatory biological factors or molecules are involved, nor why it is so difficult to stop addiction psychologically. Currently, rodent animal models, such as the self-administration and conditioning place preference / aversion paradigm are still widely used in the studies of drug withdrawal syndromes or drug-associate memories. However, the differences between humans and rodents--particularly in terms of genetics, and pathology and pharmacology--have significantly limited the application of further studies on this topic. Essentially, rodents lack the longterm or life-time memories humans possess and lose their drug-associated memory only after a few weeks of withdrawal.

Application of Modeling Drugs in Animal Models of Chemical Phlebitis: Review

Objective: This review aims to determine the impact of different drugs and methods on the successful establishment of an animal model for chemical phlebitis (CP). Design: Search the Cochrane Library, ProQuest Academic Journal Library, PubMed, Web of Science, Ovid, Embase, CINAHL complete (EESCO) and other related databases to determine the literature. Screen out articles consistent with this review and summarize them. Results: Since the establishment of the database, a total of 1463 articles have been retrieved. After reading the title, abstract and full text, and excluding non-related and duplicate articles, 22 reports were finally included. Among them, there are 8 articles using different medication methods to compare the effects of establishing a CP model. The included articles explored the effects of different animal models, drug types, and their dose, concentration, speed, and time on the CP model. Conclusion: The factors of dose, concentration and time were positively correlated with the incidence of CP. The effect of speed factors on CP and the results of different animal models are inconsistent. It requires further research in the future.

Modelling two different therapy strategies for drug T-20 on HIV-1 patients

A mathematical model describing the antiretroviral therapy of Enfuvirtide on HIV-1 patients is developed. The effect of Enfuvirtide （formerly called T-20） by impulsive differential equations is modeled by two different drug elimination kinetics, the first-order elimination kinetics and the Michaelis-Menten elimination kinetics. The model is a non-autonomous system of differential equations. For a time-dependent system, the disease-free equilibrium is mainly studied. Its stability, when the therapy is taken with perfect adherence, is obtained. To ensure the disease-free equilibrium remains stable, the analytical thresholds for dosage and dosing intervals are determined. The effects of super- vised treatment interruption are also explored. It is shown that the supervised treatment interruption can be worse than no therapy at all.

The potential role of the three-dimensional-bioprinting model in screening and developing drugs

Recently,we have read with great interest the original article used different spatial configuration models of colorectal cancer(CRC)for validating the antitumor efficacy with Diiminoquinone.We feel obliged to provide new insight into the drug screening models by integrating and analyzing the original method and result.These comments may provide comprehensive insights into threedimensional drug screening models and the difference between pathologic subtypes in CRC.

Evaluation of the Effect of Chemotherapeutic Drug Training on Mobile Terminal for Neuro-Oncology Nurses Based on Kirkpatrick’s Model

Background: Since there has been training, there has been discussion about the effect of training. But training evaluation is not systematic until Kirkpatrick came up with the training evaluation model in 1959. At present, the prevailing model in the systematic summary of training evaluation is still The Kirkpatrick’s model. This model was further improved in 1994, more responsive to contemporary needs, and thus widely used all over the world. At the beginning, it was widely used in human resource management of enterprises. In recent years, this model has been gradually used in the medical field to evaluate the effect of medical training. The Kirkpatrick’s model has a systematic, integrated and persuasive evaluation system for trainees. It has good effects in the pre-service nurse training, the professional image and code of conduct nurses training, and the geriatric nurse training. At present, there are few studies on the chemotherapeutic drug training of neurologist nurses in China. In clinical work, nurses’ cognitive and practical behaviors of chemotherapeutic drug protection and drug extravasation prevention and treatment are insufficient. It directly harms the health of nursing staff and increases the complications of chemotherapy, increases pain of tumor patients, delays or interrupts chemotherapy, and aggravates the economic burden of patients. Especially, Chemotherapeutic drugs for neuro-oncology have particularity and necessity of urgent training. Objective: To investigate the effect of chemotherapeutic drug training through mobile terminal for neuro-oncology nurses based on the Kirkpatrick’s model. Methods: The training content and evaluation questionnaire for chemotherapeutic drugs were designed by nursing management personnel and senior nurses in our department according to the guidelines and common diseases requiring chemotherapy in the department. The content includes the basic knowledge of neuro-oncology chemotherapy, pharmacological knowledge, toxic and side effect of chemotherapy, etc., which are regularly pushed through the mobile terminal-WeChat. Forty nurses participated in the training and the effect is evaluated by Kirkpatrick’s model. Result: After the training, 100% of nurses were satisfied with the training content and 97.5% with the training form. The scores of nurses in learning level such as basic pharmacological knowledge, drug configuration and exposure, drug treatment and infusion, observation of toxic and side effects, and treatment of drug extravasation were significantly higher than those before the training (P < 0.01). The scores of nurses in the behavior level such as drug allocation, health education, toxic and side effect observation and prediction, treatment of exosmosis, occupational protection were significantly higher than those before the training. After the training, the satisfaction of managers, chemotherapy physicians and chemotherapy patients on the behavior of nurses was significantly higher than that before the training (P < 0.01). Conclusion: The chemotherapeutic drug training through mobile terminal based on Kirkpatrick’s model can improve the ability of neuro-oncology nurses, so as to improve the satisfaction of physicians and patients.

AN ANALYTICAL SOLUTION FOR THE MODEL OF DRUG DISTRIBUTION AND ABSORPTION IN SMALL INTESTINE

According to the physiological and anatomical characteristics of small intestine,neglecting the effect of its motility on the distribution and absorption of drug and nutrient,Y.Miyamoto et al.proposed a model of two-dimensional laminar flow in a circular porous tube with permeable wall and calculated the concentration profile of drugby numerical analysis.In this paper,we give a steady-state analytical solution of the above model including deactivationterm.The obtained results are in agreement with the results of their numerical analysis. Moreover the analytical solution presented in this paper reveals the relation among the physiological parameters of the model and describes the basic absorption rule of drug and nutrient through the intestinal wall and hence pro- vides a theoretical basis for determining the permeability and reflection coefficient through in situ experiments.

The Presence of Phases and the Inability of the Classical Compartment Models to Provide Pharmacokinetic Parameters of Physiological Significance for Lipophilic Drugs

The first biphasic open one-compartment pharmacokinetic model is described. Its analytical solutions to drug concentration were developed from parameters of an open two-compartment pharmacokinetic model. The model is used to explain the unusually large compartment volumes and apparent volumes of distribution of lipophilic drugs, as well as to identify which of the pharmacokinetic parameters of the classical compartment models are biologically relevant.

Mixture Models for Estimating the Number of Drug Users in Thailand 2005-2007

It is difficult to measure the sizes of illegal drug user populations directly by using the survey method because of many “hidden drug addicts” and the difficulty of receiving a true response. Systematic and routine information on treatment episodes of drug users is adopted to estimate the population size in this study. Mixture models of zero-truncated Poisson distributions using the nonparametric maximum likelihood estimators (NPMLE) by means of capture-recapture repeated count data were used to project the number of drug users. The method was applied to surveillance data of drug users identified by treatment episodes in over 1140 health treatment centers in Thailand from the Bureau of Health Service System Development, Ministry of Public Health. We presented how this mixture model could be utilized to construct the unobserved frequency of drug users with no treatment episode and further estimated the total population size of drug users in the country from 2005 to 2007. The result of simulation was confirmed that mixture model is suitable when population is large. By means of mixture models, the estimations for the number of drug users were fitted with excellent goodness-of-fit values and we were also compared to the conventional Chao estimates. The NPMLE for the total number of drug users in Thailand 2005, 2006, and 2007 were 184,045 (95% CI: 181,297-86,793), 230,665 (95% CI: 226,611-234,719), 299,670 (95% CI: 294,217-305,123), respectively, also 125,265 (95% CI: 123,092-127,142), 166,287 (95% CI: 163,222-169,352), 228,898 (95% CI: 224,766 - 233,030) for the number of methamphetamine (Yaba) users, and 11,559 (95% CI: 10,234-12,884), 11,333 (95% CI: 9276-13,390), 8953 (95% CI: 7878-10,028) for the number of heroin users, respectively. The numbers of marijuana, kratom-plant, opium, and inhalant users were underestimated because their symptoms were mild and not severe enough to remedy in health treatment centers which led to the smaller size of the total number of drug users. The well-estimated sizes of heroin and methamphetamine addicts are high reliable because they are based on clearly evident count with a severe addiction problem to health treatment centers. The estimation by means of mixture models can be recommended to monitor drug demand trend and drug health service routinely;it is easy to calculate via the available programs MIXTP based on request.

Hydrodynamic modeling of ferrofluid flow in magnetic targeting drug delivery

Among the proposed techniques for delivering drugs to specific locations within human body, magnetic drug targeting prevails due to its non-invasive character and its high targeting efficiency. Magnetic targeting drug delivery is a method of carrying drug-loaded magnetic nanoparticles to a target tissue target under the applied magnetic field. This method increases the drug concentration in the target while reducing the adverse side-effects. Although there have been some theoretical analyses for magnetic drug targeting, very few researchers have addressed the hydrodynamic models of magnetic fluids in the blood vessel. A mathematical model is presented to describe the hydrodynamics of ferrofiuids as drug carriers flowing in a blood vessel under the applied magnetic field. In this model, magnetic force and asymmetrical force are added, and an angular momentum equation of magnetic nanoparticles in the applied magnetic field is modeled. Engineering approximations are achieved by retaining the physically most significant items in the model due to the mathematical complexity of the motion equations. Numerical simulations are performed to obtain better insight into the theoretical model with computational fluid dynamics. Simulation results demonstrate the important parameters leading to adequate drug delivery to the target site depending on the magnetic field intensity, which coincident with those of animal experiments. Results of the analysis provide important information and suggest strategies for improving delivery in clinical application.

Process Modeling of Ferrofluids Flow for Magnetic Targeting Drug Delivery

Among the proposed techniques for delivering drugs to specific sites within the human body, magnetic targeting drug delivery surpasses due to its non-invasive character and its high targeting efficiency. Although there have been some analyses theoretically for magnetic drug targeting, very few researchers have addressed the hydrodynamic models of magnetic fluids in the blood vessel of human body. This paper presents a mathematical model to describe the hydrodynamics of ferrofluids as drug carriers flowing in a blood vessel under the applied magnetic field. A 3D flow field of magnetic particles in a blood vessel model is numerically simulated in order to further understand clinical application of magnetic targeting drug delivery. Simulation results show that magnetic nanoparticles can be enriched in a target region depending on the applied magnetic field intensity. Magnetic resonance imaging confirms the enrichment of ferrofluids in a desired body tissue of Sprague-Dawley rats. The simulation results coincide with those animal experiments. Results of the analysis provide the important information and can suggest strategies for improving delivery in favor of the clinical application.

Modeler软件及其在药品不良反应监测中的应用

提供了一种技术方法,为药品不良反应监测工作提供参考。利用Modeler软件,通过利用数据挖掘技术的定性分析方法,对药品不良反应病例报告进行处理、分析.数据挖掘的定量分析方法为药品不良反应监测工作提供了一项有益的尝试。

胃癌类器官模型应用于个性化药物筛查的可行性

背景:术后辅助化疗是治疗胃癌的常用方法,但患者对化疗的反应存在很大的差异,需要一种新的临床治疗前模型,来指导胃癌患者的个性化药物治疗。目的:构建基于胃癌组织的类器官模型,探讨其在个性化药物筛查中的应用价值。方法:收集20例胃癌患者术中切除的组织标本,消化分解后与基质胶混合种板,添加含有表皮生长因子和成纤维细胞生长因子10的类器官培养基进行培养。采用苏木精-伊红染色和免疫组化染色对胃癌类器官及原始肿瘤组织进行病理形态学及免疫分子标记同质性验证。通过对卡铂、伊立替康、氟尿嘧啶、奥沙利铂、紫杉醇、表阿霉素等6种药物进行药物敏感性筛查,评估胃癌类器官模型用于药物筛查的可行性。结果与结论:成功培养14例胃癌类器官,类器官的形态及生长特性存在个体性差异,所有类器官均可稳定传代、冻存、复苏。胃癌类器官保留了与原发肿瘤相同的形态学特征及免疫分子表达。6例类器官对6种化疗药物表现出了不同的药物敏感性,初步证实了胃癌类器官作为体外药物筛查模型具有可行性。

A Comparative Study on Several Models of Experimental Renal Calcium Oxalate Stones Formation in Rats

In order to compare the effects of several experimental renal calcium oxalate stones formation models in rats and to find a simple and convenient model with significant effect of calcium oxalate crystals deposition in the kidney, several rat models of renal calcium oxalate stones formation were induced by some crystal-inducing drugs （CID） including ethylene glycol （EG）, ammonium chloride （AC）, vitamin D3 [ 1 α（OH）VitD3, alfacalcidol], calcium gluconate, ammonium oxalate, gentamicin sulfate, L-hydroxyproline. The rats were fed with drugs given singly or unitedly. At the end of experiment, 24-h urines were collected and the serum creatinine （Cr）, blood urea nitrogen （BUN）, the extents of calcium oxalate crystal deposition in the renal tissue, urinary calcium and oxalate excretion were measured. The serum Cr levels in the stone-forming groups were significantly higher than those in the control group except for the group EG＋L-hydroxyproline, group calcium gluconate and group oxalate. Blood BUN concentration was significantly higher in rats fed with CID than that in control group except for group EG＋L-hydroxyproline and group ammonium oxalate plus calcium gluconate. In the group of rats administered with EG plus Vitamin D3, the deposition of calcium oxalate crystal in the renal tissue and urinary calcium excretion were significantly greater than other model groups. The effect of the model induced by EG plus AC was similar to that in the group induced by EG plus Vitamin D3. EG plus Vitamin D3 or EG plus AC could stably and significantly induced the rat model of renal calcium oxalate stones formation .

Reversal of multidrug resistance in gastric cancer cells by CDX2 downregulation

AIM: To explore the role of CDX2 in the multi-drug resistance (MDR) process of gastric cancer in vitro and in vivo . METHODS: A cisplatin-resistant gastric cancer cell line with stable downregulation of CDX2 was established. mRNA and protein expression levels of CDX2, survivin, cyclin D1, and c-Myc were detected by western blotting and semi-quantitative reverse-transcriptase polymerase chain reaction (RT-PCR). The influence of downregulation of CDX2 on MDR was assessed by measuring IC50 of SGC7901/DDP cells to cisplatin, doxorubicin, and 5-fluorouracil, rate of doxorubicin efflux, apoptosis, and cell cycle progression detected by flow cytometry. In addition, we determined the in vivo effects of CDX2 small interfering RNA (siRNA) on tumor size, and apoptotic cells in tumor tissues were detected by deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling and hematoxylin and eosin staining. RESULTS: CDX2 siRNA led to downregulation of endogenous CDX2 mRNA (0.31 ± 0.05 vs 1.10 ± 0.51, 0.31 ± 0.05 vs 1.05 ± 0.21, P = 0.003) and protein (0.12 ± 0.08 vs 0.51 ± 0.07, 0.12 ± 0.08 vs 0.55 ± 0.16, P = 2.57 × 10 -4) expression. It significantly promoted the sensitivity of SGC7901/DDP cells to cisplatin (0.12 ± 0.05 vs 0.33 ± 0.08, 0.12 ± 0.05 vs 0.39 ± 0.15, P = 0.001), doxorubicin (0.52 ± 0.13 vs 4.11 ± 1.25, 0.52 ± 0.13 vs 4.05 ± 1.44, P = 2.81 × 10-4), and 5-fluorouracil (0.82 ± 0.13 vs 2.81 ± 0.51, 0.82 ± 0.13 vs 3.28 ± 1.03, P = 1.71 × 10-4). Flow cytometry confirmed that the percentage of apoptotic cells increased after CDX2 downregulation (32.15% ± 2.15% vs 17.63% ± 3.16%, 32.15% ± 2.15% vs 19.3% ± 2.25%, P = 1.73 × 10-6). This notion was further supported by the observation that downregulation of CDX2 blocked entry into the S-phase of the cell cycle (31.53% ± 3.78% vs 65.05% ± 7.25%, 31.53% ± 3.78% vs 62.27% ± 5.02%, P = 7.55 × 10-7). Furthermore, downregulation of CDX2 significantly increased intracellular accumulation of doxorubicin (0.21 ± 0.06 vs 0.41 ± 0.11, 0.21 ± 0.06 vs 0.40 ± 0.08, P = 0.003). In molecular studies, semiquantitative RT-PCR and western blotting revealed that CDX2 downregulation could inhibit expression of c-Myc, survivin and cyclin D1. CONCLUSION: CDX2 may be involved in regulating multiple signaling pathways in reversing MDR, suggesting that CDX2 may represent a novel target for gastric cancer therapy.

Short-term Impact of Cognition-Motivation-Emotional IntelligenceResistance Skills Program on Drug Use Prevention for School Students in Wuhan,China

Drug abuse continues to be a serious public health threat worldwide.Most drug abuse prevention research has been conducted with predominantly American or European adolescent populations.Little is known about approaches that work best to prevent the initiation of Chinese adolescent drug use.For targeting risk factors of drug initiation in Chinese adolescents,a school-based health intervention program named "Cognition-Motivation-Emotional IntelligenceResistance Skills" (CMER) was developed to enhance cognition upon drug use,to decrease motivation of drug use and to improve emotional adjusting and drug resistance skills in this study.A total of 798 students from 3 senior high schools in Wuhan,a city in central China,were assigned randomly to intervention and control groups.The intervention group received the CMER program in which knowledge,development of positive attitude and motivation towards drugs and training of peer resistance skills were basic elements.The immediate impact was compared by measuring the above mentioned elements prior to and three-month after the training session.Students from both groups were asked to complete a self-administered questionnaire.The questionnaire included demographic items,self-reported drug use behavior,cognition,attitude,and motivation associated with the initiation of drug use and resistance skills.Three months after the intervention,significant effects were found on "illegal substance use at least once" (P【0.05) between the intervention and control groups.Immediate effects of the intervention were also found on knowledge,motivation and peer resistance skills (P【0.05),but there was no clear evidence for any effects on attitude towards substance use (P】0.05).It was concluded that the CMER program,which significantly increased the knowledge of drugs and peer resistance skills,was effective in the drug abuse prevention in a sample of school students in Wuhan,China.

Fluid-Structure Interaction Analysis for Drug Transport in a Curved Stenotic Right Coronary Artery

A blockage of blood vessels resulting from thrombus or plaque deposit causes serious cardiovascular diseases. This study developed a computational model of blood flow and drug transport to investigate the effectiveness of drug delivery to the stenotic sites. A three-dimensional (3D) model of the curved stenotic right coronary artery (RCA) was reconstructed based on the clinical angiogram image. Then, blood flow and drug transport with the flexible RCA wall were simulated using the fluid structure interaction (FSI) analysis and compared with the rigid RCA wall. Results showed that the maximal total displacement and von Mises stress of the flexible RCA model are 2.14 mm and 92.06 kPa. In addition, the effective injecting time point for the best performance of drug delivery was found to be between 0 s and 0.15 s (i.e., the fluid acceleration region) for both rigid and flexible RCA models. However, there was no notable difference in the ratio of particle deposition to the stenotic areas between the rigid and flexible RCA models. This study will be significantly useful to the design of a drug delivery system for the treatment of the stenotic arteries by targeting drugs selectively to the stenotic sites.

Organs-on-a-Chip: A Future of Rational Drug-Design

Many recent advances in biomedical research are related to the combination of biology and microengineering. Microfluidic devices, such as organ-on-a-chip systems, integrate with living cells to allow for the detailed in vitro study of human physiology and pathophysiology. With the poor translation from animal models to human models, the organ-on-a-chip technology has become a promising substitute for animal testing, and their small scale enables precise control of culture conditions and high-throughput experiments, which would not be an economically sound model on a macroscopic level. These devices are becoming more and more common in research centers, clinics, and hospitals, and are contributing to more accurate studies and therapies, making them a staple technology for future drug design.

Validation of kinetic modeling of progesterone release from polymeric membranes

Mathematical modeling in drug release systems is fundamental in development and optimization of these systems, since it allows to predict drug release rates and to elucidate the physical transport mechanisms involved. In this paper we validate a novel mathematical model that describes progesterone(Prg) controlled release from poly-3-hydroxybutyric acid(PHB) membranes. A statistical analysis was conducted to compare the fitting of our model with six different models and the Akaike information criterion(AIC) was used to find the equation with best-fit. A simple relation between mass and drug released rate was found,which allows predicting the effect of Prg loads on the release behavior. Our proposed model was the one with minimum AIC value, and therefore it was the one that statistically fitted better the experimental data obtained for all the Prg loads tested. Furthermore, the initial release rate was calculated and therefore, the interface mass transfer coefficient estimated and the equilibrium distribution constant of Prg between the PHB and the release medium was also determined. The results lead us to conclude that our proposed model is the one which best fits the experimental data and can be successfully used to describe Prg drug release in PHB membranes.

Application of hepatitis B virus replication mouse model

AIM:To evaluate the value of the hepatitis B virus(HBV) replication mouse model with regard to several aspects of the study of HBV biology.METHODS:To evaluate the HBV replication mouse model in detecting the efficacy of anti-HBV agents,the interferon inducer polyinosinic-polytidylin acid(polyIC) and nucleotide analogues adefovir and entecavir were administered to mice injected with wild type pHBV4.1,and the inhibiting effect of these agents on HBV DNA replication was evaluated.To identify the model's value in a replication ability study of HBV drug-resistant mutants and a HBx-minus mutant,telbivudine resistance mutants(rtM204I,ayw subtype),adefovir resistance mutants(rtA181V + rtN236T,ayw subtype) and HBxminus mutants were injected respectively,and their corresponding HBV DNA replication intermediates in mouse liver were assessed.RESULTS:Compared with the wild type HBV replication mouse model without antiviral agent treatment,the HBV DNA replication intermediates of the polyICtreated group were decreased 1-fold;while in the entecavir-and adefovir-treated groups,the levels of HBV DNA replication intermediates were inhibited 13.6-fold and 1.4-fold,respectively.For the mouse models injected with telbivudine resistance mutant,adefovir resistance mutant and HBx-minus mutant,HBV DNA replication intermediates could still be detected,but the levels of HBV DNA replication intermediates of these mutants decreased 4.5-fold,5.6-fold and 2.9-fold respectively,compared with the mouse model with wild type HBV plasmid.CONCLUSION:The HBV replication mouse model we established was a useful and convenient tool to detect the efficacy of antiviral agents and to study the replication ability of HBV mutants in vivo.