ObjectiveWe reviewed the existing experimental studies about renal injury-inducing Chinese medicine and systematically analyzed the toxicity mechanisms， toxic components， toxicity attenuation measures， and modern evaluation methods of renal injury-inducing Chinese medicine. The results are expected to provide new ideas for the modern research on kidney injury-inducing Chinese medicine， offer new breakthrough points for the toxicity attenuation of Chinese medicine by compatibility and processing， and give insights into the future research of Chinese medicine toxicology on the basis of ensuring the safety and scientific application of Chinese medicine. MethodsThe animal， cell， and clinical studies of kidney injury-inducing Chinese medicine were retrieved from CNKI， Wanfang Data， VIP， PubMed， and Web of Science. The names and toxic components of renal injury-inducing Chinese medicine， renal injury sites， toxicity mechanisms， toxicity attenuation measures， and related evaluation methods were summarized. ResultsThe toxicity mechanisms of kidney injury-inducing Chinese medicine mainly involved oxidative stress， endoplasmic reticulum stress， inflammatory cell infiltration， and organic anion transporters. Processing and compatibility were the main toxicity attenuation measures. The evaluation methods encompassed animal experiments， cell models， network pharmacology， metabolomics， toxicology genomics， and fluorescent probe technology. ConclusionAt present， the toxicological verification of kidney injury-inducing Chinese medicine starts from toxic components and combines various experimental methods， which is more comprehensive and systematic than the previous studies based on only animal experiments. According to the classical theories of traditional Chinese medicine， the toxicity of kidney injury-inducing Chinese medicine is mainly attenuated by decocting in water， steaming， and frying. With the progress of science and technology， new processing methods for toxicity attenuation are emerging， and structural transformation， fermentation， and microwave methods are the key research directions of toxicity attenuation of Chinese medicine in recent years.

ObjectiveWe reviewed the existing experimental studies about renal injury-inducing Chinese medicine and systematically analyzed the toxicity mechanisms， toxic components， toxicity attenuation measures， and modern evaluation methods of renal injury-inducing Chinese medicine. The results are expected to provide new ideas for the modern research on kidney injury-inducing Chinese medicine， offer new breakthrough points for the toxicity attenuation of Chinese medicine by compatibility and processing， and give insights into the future research of Chinese medicine toxicology on the basis of ensuring the safety and scientific application of Chinese medicine. MethodsThe animal， cell， and clinical studies of kidney injury-inducing Chinese medicine were retrieved from CNKI， Wanfang Data， VIP， PubMed， and Web of Science. The names and toxic components of renal injury-inducing Chinese medicine， renal injury sites， toxicity mechanisms， toxicity attenuation measures， and related evaluation methods were summarized. ResultsThe toxicity mechanisms of kidney injury-inducing Chinese medicine mainly involved oxidative stress， endoplasmic reticulum stress， inflammatory cell infiltration， and organic anion transporters. Processing and compatibility were the main toxicity attenuation measures. The evaluation methods encompassed animal experiments， cell models， network pharmacology， metabolomics， toxicology genomics， and fluorescent probe technology. ConclusionAt present， the toxicological verification of kidney injury-inducing Chinese medicine starts from toxic components and combines various experimental methods， which is more comprehensive and systematic than the previous studies based on only animal experiments. According to the classical theories of traditional Chinese medicine， the toxicity of kidney injury-inducing Chinese medicine is mainly attenuated by decocting in water， steaming， and frying. With the progress of science and technology， new processing methods for toxicity attenuation are emerging， and structural transformation， fermentation， and microwave methods are the key research directions of toxicity attenuation of Chinese medicine in recent years.

We conducted a randomized, open-label, parallel-controlled, multicenter trial on the use of Shuanghuanglian (SHL), a traditional Chinese patent medicine, in treating cases of COVID-19. A total of 176 patients received SHL by three doses (56 in low dose, 61 in middle dose, and 59 in high dose) in addition to standard care. The control group was composed of 59 patients who received standard therapy alone. Treatment with SHL was not associated with a difference from standard care in the time to disease recovery. Patients with 14-day SHL treatment had significantly higher rate in negative conversion of SARS-CoV-2 in nucleic acid swab tests than the patients from the control group (93.4% vs. 73.9%, P = 0.006). Analysis of chest computed tomography images showed that treatment with high-dose SHL significantly promoted absorption of inflammatory focus of pneumonia, which was evaluated by density reduction of inflammatory focus from baseline, at day 7 (mean difference (95% CI), -46.39 (-86.83 to -5.94) HU; P = 0.025) and day 14 (mean difference (95% CI), -74.21 (-133.35 to -15.08) HU; P = 0.014). No serious adverse events occurred in the SHL groups. This study illustrated that SHL in combination with standard care was safe and partially effective for the treatment of COVID-19.
COVID-19 ; Humans ; Medicine, Chinese Traditional ; Research ; SARS-CoV-2 ; Treatment Outcome

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.

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.

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.