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Model informed precision dosing (MIPD) is a new concept to guide precision dosing for individual patient by modeling and simulation based on the available information about the individual patient, medications and the disease. Compared to the empirical dosing, MIPD could improve the efficacy, safety, economics and adherence of the pharmacotherapy according to the individual's pathophysiology, genotyping and disease progression. This consensus report provides a brief account of the concept, methodology and implementation of MIPD as well as clinical decision supporting systems for MIPD. The status and future advancing of MIPD was also discussed to facilitate the appropriate application and development of MIPD in China.
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The clinical trial of OBCA (OCALIVA) in the treatment of primary biliary cirrhosis (PBC) shows its efficacy. As it is difficult to conduct sufficient clinical studies in moderate and severe hepatic impairment population, the applicant and the FDA theorem have different opinions based on the same model, such as population PK, exposure-response and physiologically-based PK (PBPK). The applicant considers that the increase in the exposure of drug in liver tissue is limited, and there is no need for dose adjustment, that is, 5 mg, once a day. FDA believes that the influencing factors of the PBPK model have not been fully taken into account and the validation of the PBPK is not robust with a wide variability, and there is also a risk of high blood drug exposure in patients. It is recommended to significantly reduce the dose, that is, 5 mg, once a week, no more than 10 mg, per week at least 3 days interval, and accordingly written into the medication instructions. After approval many patients with hepatic impairment did not take medicine according to the instructions, therefore overdosed, resulting in death. The results fully prove that the original considerations and decisions of FDA have been verified, and the experience and lessons of this example once again suggest that modeling and simulation need bold assumptions and careful verification.
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Alzheimer's disease (AD) is a degenerative neurological disease with unclear pathogenesis. The disease progress/trajectory of AD patients can be adequately described by establishing quantitative pharmacological disease progression model. Integrating biomarker information into the model can provide more insight to understand the potential pathological mechanisms and facilitate the optimization of future trial design. Several empirical and semi-mechanism disease progression models have been published. This mini-review is expected to offer some references for the further AD clinical research and new drug development.
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AIM: Belimumab is a fully humanized IgGl-X monoclonal antibody, which can specifically bind to soluble B cell stimulating factor (BLyS) preventing BLyS from binding to B cells to promote B cell apoptosis. It is the first drug approved by the FDA for the treatment of systemic lupus erythematosus (SLE). Based on data from global clinical literature of the drug, this study evaluated the effect of belimumab in the treatment of SLE through modeling analysis, quantitatively expressed its pharmacodynamic characteristics, and explored its potential influencing factors to establish the efficacy of belimumab in the treatment of SLE, which could provide a reference for the development of drugs for the treatment of SLE. METHODS: Literature retrieval was conducted in Pubmed database. The clinical studies of belimumab in the treatment of SLE were included. Data, including the demography and baseline characteristics, dosage, administration methods, efficacy and safety of belimumab, was extracted to establish an analysis sets. Then a pharmacodynamic model was developed to evaluate the pharmacodynamic characteristics of the drug. The robustness of the model was evaluated via a variety of model evaluation methods. RESULTS: A total of 5 articles containing efficacy data were included in this analysis, involving 11 dosage groups (3 493 subjects). The results of covariate screening showed that race (Asian population or non-Asian population), age, course of disease, positive anti-dsDNA had no significant effect on the therapeutic effect of belimumab in SLE and there were no factors that had significant influence on model parameters. Model evaluation showed that the model established in this study can better describe the dose-effect relationship of belimumab in the treatment of SLE. The final model indicated that the response rate of the efficacy index SRI was close to the peak (approximately 99% of the peak level) at the 52nd week. The SRI response rates of placebo, belimumab 1 mg/kg intravenous injection, 10 mg/kg intravenous injection, and 200 mg subcutaneous injection were 46.1%, 52.9%, 57.9%, and 60.9%, respectively. After deducting the placebo effect, the SRI response rates (drug pure effect) of belimumab 1 mg/kg intravenously, 10 mg/kg intravenously, and 200 mg subcutaneously at 52 weeks were 6.8%, 11.8%, and 14.8%, respectively. CONCLUSION: The efficacy (SRI response rate) of belimumab in the treatment of SLE patients was close to its peak in the 52nd week. The SRI response rates of belimumab 1 mg/kg intravenously, 10 mg/kg intravenously, and 200 mg subcutaneously in the 52nd week were 52.9%, 57.9%, and 60.9%, respectively.
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AIM: To study the ways of calculating area under the plasma concentration-time curve (AUC) in non-compartment model pharmacokinetics by comparing the accuracy & precision of every method. METHODS: Three methods were used to calculate the area under 0-T curve (AUC
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With the increasing cost of drug development and clinical trials, it is of great value to make full use of all kinds of data to improve the efficiency of drug development and to provide valid information for medication guidelines. Model-based meta-analysis (MBMA) combines mathematical models with meta-analysis to integrate information from multiple sources (preclinical and clinical data, etc.) and multiple dimensions (targets/mechanisms, pharmacokinetics/pharmacodynamics, diseases/indications, populations, regimens, biomarkers/efficacy/safety, etc.), which not only provides decision-making for all key points of drug development, but also provides effective information for rational drug use and cost-effectiveness analysis. The classical meta-analysis requires high homogeneity of the data, while MBMA can combine and analyze the heterogeneous data of different doses, different time courses, and different populations through modeling, so as to quantify the dose-effect relationship, time-effect relationship, and the relevant impact factors, and thus the efficacy or safety features at the level of dose, time and covariable that have not been involved in previous studies. Although the modeling and simulation methods of MBMA are similar to population pharmacokinetics/pharmacodynamics (Pop PK/PD), compared with Pop PK/PD, the advantage of MBMA is that it can make full use of literature data, which not only improves the strength of evidence, but also can answer the questions that have not been proved or can not be answered by a single study. At present, MBMA has become one of the important methods in the strategy of model-informed drug development (MIDD). This paper will focus on the application value, data analysis plan, data acquisition and processing, data analysis and reporting of MBMA, in order to provide reference for the application of MBMA in drug development and clinical practice.
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Validation is a documented process that provides a high degree of assurance. The computer system does exactly and consistently what it is designed to do in a controlled manner throughout the life. The validation process begins with the system proposal/requirements definition, and continues application and maintenance until system retirement and retention of the e-records based on regulatory rules. The objective to do so is to clearly specify that each application of information technology fulfills its purpose. The computer system validation (CSV) is essential in clinical studies according to the GCP standard, meeting product's pre-determined attributes of the specifications, quality, safety and traceability. This paper describes how to perform the validation process and determine relevant stakeholders within an organization in the light of validation SOPs. Although a specific accountability in the implementation of the validation process might be outsourced, the ultimate responsibility of the CSV remains on the shoulder of the business process owner-sponsor. In order to show that the compliance of the system validation has been properly attained, it is essential to set up comprehensive validation procedures and maintain adequate documentations as well as training records. Quality of the system validation should be controlled using both QC and QA means.
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Due to a great amount of data in clinical trials, the data cleansing needs to adopt a variety of measures, including the latest developed visual check approach. According to the different types of clinical data and the different stages in the course of clinical data management, this study reviews 8 types of visual graphics that show the relevance and trend among the data. The series of graphics can rapidly detect abnormal data, monitor clinical research in real-time, make the data management process much easier and improve the clinical trial efficiency and data quality.
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Electronic case report forms (eCRFs) instead of the traditional paper case report forms (pCRFs) are increasingly used by investigators and sponsors of clinical research. We include a total of 14 phase III studies (8 pCRF, 6 eCRF) to compare paper and electronic data documentation both quantitatively and qualitatively in clinical studies. The result suggests that adaptions of electronic data capture (EDC) in clinical trials have the advantages in optimization of data capture process, improvement of data quality and earlier clinical decision compared to paper-based methods. Furthermore, the successful implementation of EDC requires accouplements with corresponding data management processes and reallocation of resources.
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With the wide application of electronic data management (EDC), the data management is shifting to a new mode. In order to recognize the advantages of EDC, we choose 20 representative registered clinical trials, which involve 5 404 subjects and 321 sites. We found that EDC has many beneficial impacts on the course of clinical trial data management, including the process of data collection, data cleaning, data quality control and clinical trial decision-making. The result also provides a reference for the adoption of EDC in clinical trials.
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Objective To evaluate the safety and efficacy of a domestic recombinant human tumor necrosis factor receptor type Ⅱ- IgG Fc fusion protein (rhTNFR-Fc)for the treatment of moderate to severe psoriasis vulgaris. Methods A multicenter, randomized, double blind, parallel-group, positive drug-controlled clinical trial was conducted. According to random numbers generated by a hierarchical segmentation method using the SAS 9.2 software, patients with moderate to severe psoriasis vulgaris were randomly divided into two groups to be injected with two kinds of domestic rhTNFR-Fc under the trade names of Anbainuo(test group)and Yisaipu(control group)respectively at a dose of 25 mg twice a week for 12 consecutive weeks. The primary endpoint was the proportion of patients achieving a 50%, 75% and 90% reduction in psoriasis area and severity index(PASI50, PASI75 and PASI90)at week 2, 6 and 12 after initiation of the treatment. Adverse reactions were also recorded. Statistical analysis was carried out by using the chi-square test, Fisher′s exact test, two-sample t-test, and noninferiority trials with the software SAS 9.2. Results A total of 180 patients were enrolled in this study from 5 centers, and 174 completed this trial, of whom, 88 were assigned to the test group and 86 to the control group. Analysis of the full analysis set (FAS)revealed no significant differences in PASI50(75.6%(68/90)vs. 82.2%(74/90), P > 0.05)or PASI75(51.1%(46/90)vs. 50.0%(45/90), P > 0.05) between the test group and control group, but a significant increase in PASI90 in the test group compared with the control group (30.0% (27/90)vs.16.7% (15/90), χ2 = 4.472, P 0.05), most of which were mild, and subsided spontaneously or after appropriate treatment. Conclusion The domestic rhTNFR-Fc (trade name:Anbainuo)25 mg twice a week for 12 weeks is effective and safe for the treatment of moderate to severe psoriasis——————————vulgaris.
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This study was to determine the correlation between endothelial function and neuro-endocrine-immune (NEI) network through observing the changes of NEI network under the different endothelial dysfunction models. Three endothelial dysfunction models were established in male Wistar rats after exposure to homocysteine (Hcy), high fat diet (HFD) and Hcy+HFD. The results showed that there was endothelial dysfunction in all three models with varying degrees. However, the expression of NEI network was totally different. Interestingly, treatment with simvastatin was able to improve vascular endothelial function and restored the imbalance of the NEI network, observed in the Hcy+HFD group. The results indicated that NEI network may have a strong association with endothelial function, and this relationship can be used to distinguish different risk factors and evaluate drug effects.
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Animals , Humans , Male , Rats , Diet, High-Fat , Endocrine System , Homocysteine , Immune System , Nervous System , Rats, Wistar , Risk Factors , SimvastatinABSTRACT
Comparative pharmacokinetic (PK) analysis is often carried out throughout the entire period of drug development, the common approach for the assessment of pharmacokinetics between different treatments requires that the individual PK parameters, which employs estimation of 90% confidence intervals for the ratio of average parameters, such as AUC and Cmax, these 90% confidence intervals then need to be compared with the pre-specified equivalent interval, and last we determine whether the two treatments are equivalent. Unfortunately in many clinical circumstances, some or even all of the individuals can only be sparsely sampled, making the individual evaluation difficult by the conventional non-compartmental analysis. In such cases, nonlinear mixed effect model (NONMEM) could be applied to analyze the sparse data. In this article, we simulated a sparsely sampling design trial based on the dense sampling data from a truly comparative PK study. The sparse data were analyzed with NONMEM method, and the original dense data were analyzed with non-compartment analysis. Although the trial design and analysis methods are different, the 90% confidence intervals for the ratio of PK parameters based on 1000 Bootstrap are very similar, indicated that the analysis based on NONMEM is a reliable method to treat with the sparse data in the comparative pharmacokinetic study.
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This study aims to save cost of sampling for estimating the area under the amlodipine plasma concentration versus time curve in 24 hours (AUC(0-24 h)). Limited sampling strategy (LSS) models was developed and validated by mutiple regression model within 4 or fewer amlodipine concentration values. Absolute prediction error (APE), root of mean square error (RMSE) and visual predict check were used as criterion. The results of Jackknife validation showed that fifteen (9.4%) of the 160 LSS based on regression analysis were not within an APE of 15% by using one concentration-time point. 156 (97.5%), 159 (99.4%) and 160 (100%) of the 160 LSS model were capable of predicting within an APE 15% by using 2, 3, 4 points, separately. Limited sampling strategies have been developed and validated for estimating AUC(0-24 h) of amlodipine. The present study indicated that the implemention of both 5 mg and 10 mg dosage could enable accurate predictions of AUC(0-24 h) by the same LSS model. This study shows that 12, 4, 24, 2 h after administration are key sampling time points. The combination of (12, 4), (12, 4, 24) or (12, 4, 24, 2 h) might be chosen as sampling hours for predicting AUC(0-24 h) in practical application according to requirement.
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The paper aimed to find the optimal combination and evaluation of the interactions of antitumor effect of the curcumin (Cur) and adriamycin (ADM) in vitro. According to the factorial design and data characteristics, the parameter method combined with the response surface approach were used to analyze the pharmacodynamic interactions of in vitro antitumor effects of the combination of Cur and ADM at different dosages. The results showed that the dose-effect relationship of the combination with the ratio of ADM-Cur 1:3 showed significant differences in comparison with either used alone. The dose-effect curve was shift left in combination. The combination of adriamycin (ADM, 0.693-2.132 micromol L(-1)) and curcumin (Cur, 2.047-6.304 micromol L(-1)) with a fixed ratio (1:3) showed a synergism. With increasing doses of the combination, there is an additive effect. Computer simulation showed a trend of decreasing difference between the observed and expected effects with the dose increasing in Cur from 6.304 to 16.0 micromol L(-1) and ADM from 2.132 to 5.3 micromol L(-1). The response surface analysis showed the optimal combination to be Cur 18.50 micromol L(-1) and ADM 3.89 micromol L(-1) with a ratio of 5:1. This study suggests that the parameter method combined with the response surface analysis provides richer and more reasonable information, and is helpful for quantitative design of drug combination therapy and to describe the nature and degree of drug interaction.
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To study the anti-inflammatory effects of the combinations of active components of Painong powder, a compound traditional Chinese herbal medicine, and the quantitative analysis of their interactions.
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Qualitative data are often converted to quantitative data by ranking in pharmacodynamical statistics. Some common questions were listed and discussed with examples in this paper, including ranking method and the selection of statistical method.
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Aim To set up a novel animal model of intra-abdominal adhesion and to determine whether the tissue plasminogen activator activity (PAA) in exudate can be taken as an indicator to judge the formation of the adhesion. Methods Rats were randomly divided into 2 groups. Each animal in both groups was opened the abdominal cavity via midline laparotomy without any disinfectant measures. 2-cm section from the cecal end was clamped and ligated, 1-cm cecum of the section was cut, and another 1-cm end from the ligated site was kept. After the content in the end was extruded, the cecum was put back without using any antibacterial agent. Before the skin closure, an effective combination AMD (allantoin, metronidazole and dexamethasone in combination), was given (ip) according to 1.5 ml per 100 g body weight (60.6 mg·kg-1). The control group was injected (ip) the same volume of normal saline. After 6 h, the exudate was extracted from drainage-tube, with the rats varying posture, and after 1 kw, the rats were killed for examining the intra-abdominal adhesion. The values of PAA of exudate in both groups were analyzed by the relative operating characteristic curve (ROC). Results In the control group, all 20 rats formed the adhesions, the amount of exudate=(1.25±0.09) ml, the number of WBC(×103)=(23.1±6.6) mm3 and PAA=(0.9±0.4) IU·ml-1 in the exudate of abdominal cavity. In AMD group, however, there was not the adhesion formations (0/20), the amount of exuade was (0.52±0.04) ml (P<0.01), the number of WBC (×103) (10.6±4.2) mm3 (P<0.01), and PAA (23.1±6.6) IU·ml-1(P<0.01) in exuade.ROC analysis indicated that if PAA >1.24 IU·ml-1 in the exuade, the adhesion was difficult to form, and vice versa. Conclusion This animal model can be taken as an effective tool to evaluate the human adhesion related to multi-links on the pathogenesis, and the PAA in exudate an indicator to judge intra-abdominal adhesion formation.
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In clinical and experimental therapeutics, the quantitative analysis of drug interaction will supply a tool for optimizing and evaluating a combination in the study of compound drug, the design of combination drug therapy, and the evaluation of traditional medicine formulae. This paper listed the systematic methods of the quantitative analysis, including the weighted modification method for optimizing constituents, doses and ratio in combination, the parameter method and the reflection method for dynamic analysis of drug interaction, and a comprehensive method for multiple response indexes. The software CoDrug about these methods also was introduced.
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AIM: To investigate the therapeutic effect of tea polyphenols (TP) on cationic bovine serum albumin (C BSA) glomerulonephritis. METHODS: C BSA glomerulonephritic model was induced in rabbits. TP in three different doses (30, 100 and 300 mg?kg -1 ) was administered (ig) once daily for 14 days. RESULTS: TP not only significantly reduced the urinary protein excretion, decreased blood urea nitrogen (BUN) and plasma creatinine (Cr) levels, but also significantly relieved gloermular lesions in the rabbits treated and there was a significant dose dependent relationship between high dosage (300 mg?kg -1 ) and low dosage ( 30 mg?kg -1 ). CONCLUSION: TP can reduce proteinuria, suppress the development of glomerular impairments, and ameliorate the kidney function of rabbits with C BSA glomerulonephritis.