Correlation between serum insulin-like growth factor 1, thyroid stimulating hormone, degree of insulin resistance and thyroid nodule imaging reporting and data system in patients with type 2 diabetes mellitus / 中国医师进修杂志

Objective:To investigate the correlation between serum insulin-like growth factor 1 (IGF-1), thyroid stimulating hormone (TSH), degree of insulin resistance and thyroid nodule imaging reporting and data system (TI-RADS) grading in patients with type 2 diabetes mellitus (T2DM).Methods:The clinical data of 120 patients with T2DM from February 2020 to November 2021 in Kunshan Hospital of Integrated Traditional Chinese and Western Medicine were retrospectively analyzed. Among them, 56 patients had no thyroid nodules (non-thyroid nodule group), all patients were TI-RADS grade 1; 64 patients had thyroid nodules (thyroid nodule group), including 7 cases of TI-RADS grade 2, 12 cases of TI-RADS grade 3, 20 cases of TI-RADS grade 4, and 25 cases of TI-RADS grade 5. The levels of IGF-1 and TSH were measured by automated biochemical analyzer, the homeostatic model assessment insulin resistance index (HOMA-IR) was calculated. Spearman method was used for correlation analysis; multivariate Logistic regression was used to analyze the independent risk factors of TI-RADS grading in patients with T2DM combined with thyroid nodules; the receiver operating characteristic (ROC) curve was drawn to analyze the efficacy of IGF-1, TSH and HOMA-IR in predicting TI-RADS grading in patients with T2DM combined with thyroid nodules.Results:The IGF-1, TSH and HOMA-IR in thyroid nodule group were significantly higher than those in non-thyroid nodule group: (185.35 ± 45.08) ng/L vs. (168.36 ± 30.25) ng/L, (2.98 ± 0.85) mU/L vs. (2.69 ± 0.35) mU/L and 3.25 ± 0.75 vs. 2.95 ± 0.44, and there were statistical differences ( P<0.05 or <0.01). In patients with T2DM combined with thyroid nodules, with the increase of TI-RADS classification, the IGF-1, TSH and HOMA-IR gradually increased, and there were statistical differences ( P<0.05). Spearman correlation analysis result showed that the levels of IGF-1, TSH and HOMA-IR were positive correlation with TI-RADS grading ( r = 0.918, 0.906 and 0.920; P<0.05). Multivariate Logistic regression analysis result showed that the IGF-1, TSH and HOMA-IR were independent risk factors for TI-RADS grading in patients with T2DM combined with thyroid nodule ( OR = 1.684, 1.044 and 1.851; 95% CI 0.674 to 6.665, 0.032 to 0.055 and 1.212 to 2.298; P<0.01 or <0.05). ROC curve analysis result show that the area under the curve of IGF-1, TSH and HOMA-IR for predicting the TI-RADS grading patients with T2DM combined with thyroid nodule were 0.946, 0.983 and 0.975, with all sensitivity of 100.00%, and specificity of 82.14%, 91.07% and 89.29%. Conclusions:There is a correlation between IGF-1, TSH, HOMA-IR and TI-RADS grading in patients with T2DM combined with thyroid nodule, which has some guiding value for clinical monitoring of thyroid nodule changes.

Interpretation of pharmacokinetic-based criteria for supporting alternative dosing regimens of programmed cell death receptor-1 (PD-1) or programmed cell death-ligand 1 (PD-L1) blocking antibodies for treatment of patients with cancer guidance for industry / 中国临床药理学与治疗学

In recent years, modeling and simulation technology based on pharmacometrics has received increasing attention in the development of innovation drugs. In August of 2021, FDA issued a guidance named Pharmacokinetic-Based Criteria for Supporting Alternative Dosing Regimens of Programmed Cell Death Receptor-1 (PD-1) or Programmed Cell Death-Ligand 1 (PD-L1) Blocking Antibodies for Treatment of Patients with Cancer Guidance for Industry, claiming the necessity of using population PK-based simulation method for the optimization of dosing regimens, and the corresponding implementation standards. This article first summarized the existing therapeutic regimens of PD-1/PD-L1 blocking antibodies in clinic as well as the main content of the guidance, and then cited some actual examples where population PK-based simulation method did contribute to the approval of the alternative dosing regimens. Besides, some critical considerations for the dosing regimen optimization of PD-1/PD-L1 blocking antibodies were also analyzed. In our view, this guidance would have positive impacts on the development of PD-1/PD-L1 blocking antibodies in the future. We hope that this article may provide some references for the colleagues in China.

Model informed precision dosing: China expert consensus report / 中国临床药理学与治疗学

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.

General considerations of model-based meta-analysis / 中国临床药理学与治疗学

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.

Current applications of dexamethasone for cancer treatment / 药学学报

Dexamethasone is a synthetic glucocorticoid that is widely used in clinical due to its multiple pharmacological effects. Recently, dexamethasone is increasingly utilized in anti-cancer therapy. It is frequently used to prevent side effects of chemotherapy such as nausea, vomiting and pain, as well as to increase the anti-tumor activity of the cancer chemotherapeutic agents as a chemosensitizer and to inhibit tumor growth as an anti-cancer agent in some certain cancers. Dexamethasone produces the effects in anti-inflammation, anti-angiogenesis, control of estrogen activity and so on, by binding to glucocorticoid receptor to regulate gene expression of some important bio-signal molecules. Those signal pathways could interfere with the transcription of various factors which can regulate proliferation, invasion and metastasis of tumors.

A model-based meta-analysis to compare urate-lowering response rate of febuxostat and allopurinol in gout patient / 药学学报

This study aims to compare the urate-lowering response rate of febuxostat and allopurinol in gout patient using a model-based meta-analysis. The literature search identified 22 clinical trials of gout with a total of 43 unique treatment arms that met our inclusion criteria, and a total of 6 365 gout patients were included in the study. The response rates of allopuriol and febuxostat were characterized by Tmax model and Emax model respectively, and the effect of baseline serum uric acid (sUA) and patient type on the drug effect was tested. The results showed that allopurinol can reach an average maximum response rate of 50.8% while febuxostat can reach a 100% response rate within a very short time, and the ED50 was 34.3 mg. Covariate analysis revealed that baseline sUA has a negative effect on response rate of allopurinol, and a positive effect on the predicted ED50 of febuxostat. For patients who had shown inadequate response to prior allopurinol treatment, the average response rate was about half that of the allopurinol responder patients.

Population pharmacokinetics of vancomycin and prediction of pharmacodynamics in the Chinese people / 药学学报

Population pharmacokinetics of vancomycin (VAN) in the Chinese patients was described by using nonlinear mixed-effects modeling (NONMEM). 619 VAN serum concentrations data from 260 patients including 177 males and 83 females were collected separately from two centers. A one-compartment model was used to describe this sparse data. No significant difference was observed between two center datasets by introducing SID covariate. The final model was as CL= (θ (base0+ θ(max) x(1 -e(-θ(Age)(Age/72) and V = θ x θ (Age)(Age/72). The creatinine clearance (CL(Cr)) and Age were identified as the most significant covariate in the final model. Typical values of clearance (CL) and volume of distribution (V) in the final model were 2.91 L x h(-1) and 54.76 L, respectively. Internal model validation by Bootstrap and NPDE were performed to evaluate the robustness and prediction of the final model. The median and 95% confidence intervals for the final model parameters were based on 1000 Bootstraps. External model evaluation was conducted using an independent dataset that consisted of 34 patients to predict model performance. Pharmacodynamic assessment for VAN by AUC (0-24 h) to MIC ratios of over 400 was considered to be the best to predict treatment outcomes for patients. AUC (0-24 h) was calculated by clearance based on the above population model. The results indicate that the conventional dosing regimen probably being suboptimal concentrations in aged patients. The approach via population pharmacokinetic of VAN combined with the relationship of MIC, Age, CL(Cr) and AUC(0-24 h)/MIC can predict the rational dose for attaining efficacy.

The therapeutic drug monitoring network server of tacrolimus for Chinese renal transplant patients / 药学学报

This study is to develop a therapeutic drug monitoring (TDM) network server of tacrolimus for Chinese renal transplant patients, which can facilitate doctor to manage patients' information and provide three levels of predictions. Database management system MySQL was employed to build and manage the database of patients and doctors' information, and hypertext mark-up language (HTML) and Java server pages (JSP) technology were employed to construct network server for database management. Based on the population pharmacokinetic model of tacrolimus for Chinese renal transplant patients, above program languages were used to construct the population prediction and subpopulation prediction modules. Based on Bayesian principle and maximization of the posterior probability function, an objective function was established, and minimized by an optimization algorithm to estimate patient's individual pharmacokinetic parameters. It is proved that the network server has the basic functions for database management and three levels of prediction to aid doctor to optimize the regimen of tacrolimus for Chinese renal transplant patients.

Comparison study of model evaluation methods: normalized prediction distribution errors vs. visual predictive check / 药学学报

The objective of this study is to compare the normalized prediction distribution errors (NPDE) and the visual predictive check (VPC) on model evaluation under different study designs. In this study, simulation method was utilized to investigate the capability of NPDE and VPC to evaluate the models. Data from the false models were generated by biased parameter typical value or inaccurate parameter inter-individual variability after single or multiple doses with the same sampling time or multiple doses with varied sampling time, respectively. The results showed that there was no clear statistic test for VPC and it was difficult to make sense of VPC under the multiple doses with varied sampling time. However, there were corresponding statistic tests for NPDE and the factor of study design did not affect NPDE significantly. It suggested that the clinical data and model which VPC was not fit for could be evaluated by NPDE.

Application of pharmacometrics in drug development and therapeutic drug monitoring / 中国药科大学学报

Pharmacometrics,developed from the conventional pharmacokinetics,is the science of applying mathe-matical and statistical methods to characterize,understand,and predict a drug's pharmacokinetic,phannacodyna-mic,and biomarker-outcome behaviors.Pharmacometrics has been widely valued for its utility of modeling and simulation in drug research and development,therapeutic drug monitoring and individualized therapy.This paper reviewed the advances of pharmacometrics employed in new drug research and development and therapeutic drug monitoring both at home and abroad.

Application of Fourier amplitude sensitivity test in Chinese healthy volunteer population pharmacokinetic model of tacrolimus / 药学学报

In this study, we evaluated the influence of different variance from each of the parameters on the output of tacrolimus population pharmacokinetic (PopPK) model in Chinese healthy volunteers, using Fourier amplitude sensitivity test (FAST). Besides, we estimated the index of sensitivity within whole course of blood sampling, designed different sampling times, and evaluated the quality of parameters' and the efficiency of prediction. It was observed that besides CL1/F, the index of sensitivity for all of the other four parameters (V1/F, V2/F, CL2/F and k(a)) in tacrolimus PopPK model showed relatively high level and changed fast with the time passing. With the increase of the variance of k(a), its indices of sensitivity increased obviously, associated with significant decrease in sensitivity index for the other parameters, and obvious change in peak time as well. According to the simulation of NONMEM and the comparison among different fitting results, we found that the sampling time points designed according to FAST surpassed the other time points. It suggests that FAST can access the sensitivities of model parameters effectively, and assist the design of clinical sampling times and the construction of PopPK model.

Hypoglycaemic effect of insulin by buccal delivery in normal rats / 中国药理学通报

AIM To investigate the hypoglycemic effect of buccally delivered insulin solution (INS SOL) in normal rats. METHODS The hypoglycemic response was examined after buccal delivery of INS SOL co administered with various absorption enhancers. The pharmacological bioavailability (PA) was used to evaluate the absorption enhancement of INS SOL from the buccal cavity under various conditions compared with subcutaneous injection. RESULTS In the absence of enhancers, the PA was low(6 8%) after buccal delivery of INS SOL. However, the concomitant administration of sodium lauryl phosphate, sodium deoxycholate, Brij78 as well as lecithin appeared to be more effective in increasing the hypoglycemic effects of insulin. INS SOL (5 ??kg -1 ) containing 5% Brij 78 had the highest PA of 33%. CONCLUSION The use of proper absorption enhancers is useful for improving the buccal absorption of insulin.