Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

ObjectiveTo investigate the efficacy and mechanism of saffron floral bio-residues（SFB） in the treatment of hyperuricemia（HUA） combined with gouty arthritis（GA） in a compound compatibility setting. MethodScreening candidate control Chinese medicines for compound and SFB based on network target distance calculation and data analysis. After adaptive feeding of 80 SD rats for 7 days， 10 rats were randomly selected as the blank group， while the remaining 70 rats were intraperitoneally injected with 3% potassium oxonate and orally administered with 1% adenine for 14 consecutive days. On the 13^th day， rats were injected with 2.5% sodium urate solution into the right ankle joint cavity to induce swelling of the joint capsule on the opposite side， inducing a HUA combined with GA model. At the same time， the modeling rats were randomly divided into 7 groups， including the model group， benzbromarone group（positive drug， 0.02 g·kg^-1）， Tongfengshu tablets group（9 g·kg^-1）， Tongfengshu granules group（9 g·kg^-1）， SFB granules group（3.6 g·kg^-1）， Plantaginis Semen granules group（3.6 g·kg^-1）， and new formula group（SFB replacing Plantaginis Semen in Tongfengshu granules， 9 g·kg^-1）， with 10 rats in each group. Each treatment group was orally administered with the corresponding drugs according to body weight， while the control and model groups were given equal volume of distilled water by gavage once a day for 14 consecutive days. After 14 days of synchronous administration and modeling， changes in gait， ankle joint swelling and mechanical pain threshold in rats were observed， and serum uric acid， creatinine， urea nitrogen and xanthine oxidase（XOD） were measured. Enzyme-linked immunosorbent assay（ELSIA） was used to detect the levels of tumor necrosis factor（TNF）-α， interleukin（IL）-1β and IL-6 in rat serum， hematoxylin-eosin（HE） staining was used to observe the pathological changes in the liver， kidney and ankle joints of rats， Western blot was used to detect the expression levels of uric acid transporter 1（URAT1）， glucose transporter 9 （GLUT9）， organic anion transporter 1（OAT1）， adenosine triphosphate（ATP） binding cassette transporter G2（ABCG2）， and liver XOD proteins. ResultThrough network pharmacology analysis， Plantaginis Semen was selected as a candidate control herb， and Tongfengshu tablets was used as a compound compatibility environment to explore the efficacy of SFB in reducing blood uric acid levels and treating GA. Animal experiments showed that compared with the blank group， the gait score and joint swelling degree of the model group were significantly increased， and the mechanical pain threshold was significantly decreased（P<0.01）. Compared with the model group， the gait score， joint swelling degree and mechanical pain threshold of rats in each medication group were improved to varying degrees. Biochemical indicators showed that compared with the blank group， the serum uric acid， creatinine， urea nitrogen and XOD levels of the model group were significantly increased（P<0.01）. Compared with the model group， the serum uric acid and XOD levels of rats in each treatment group were significantly decreased（P<0.01）. ELISA results showed that compared with the blank group， the levels of serum TNF-α， IL-1β and IL-6 in the model group were significantly increased（P<0.01）. Compared with the model group， the levels of TNF-α， IL-1β and IL-6 in the benzbromarone group， Tongfengshu tablets group， Tongfengshu granules group and new formula group were significantly reduced（P<0.05，P<0.01）. Western blot results showed that compared with the blank group， the expression levels of URAT1 and GLUT9 proteins in renal tissue and OXD protein in liver tissue of the model group were significantly increased， while the expression levels of renal OAT1 and ABCG2 were significantly decreased（P<0.01）. Compared with the model group， the expression levels of renal URAT1 and GLUT9 in the SFB granules group， Tongfengshu granules group and new formula group were significantly decreased， while the expression levels of renal OAT1 and ABCG2 were significantly increased， and the expression of XOD protein in liver tissue was significantly decreased（P<0.05， P<0.01）. Pathological analysis showed that focal infiltration of neutrophils， cell necrosis and nuclear fragmentation were observed in the liver tissue of the model group， sodium urate deposition crystals and tubular dilation appeared in renal tissue， synovial hyperplasia and inflammatory cell infiltration appeared in ankle joint. Compared with the model group， the abnormal degrees of liver， kidney and ankle joint tissue of rats in each treatment group were alleviated. ConclusionThe new formula of SFB replacing Plantaginis Semen has the same effect in the treatment of HUA combined with GA. This study proposes a new strategy to investigate the efficacy of new resources of Chinese medicine in a compound compatibility environment， which can provide a new demonstration for the research and development of new resources of Chinese medicine.

Lipid homeostasis is considered to be related to intestinal metabolic balance, while its role in the pathogenesis and treatment of ulcerative colitis (UC) remains largely unexplored. The present study aimed to identify the target lipids related to the occurrence, development and treatment of UC by comparing the lipidomics of UC patients, mice and colonic organoids with the corresponding healthy controls. Here, multi-dimensional lipidomics based on LC-QTOF/MS, LC-MS/MS and iMScope systems were constructed and used to decipher the alteration of lipidomic profiles. The results indicated that UC patients and mice were often accompanied by dysregulation of lipid homeostasis, in which triglycerides and phosphatidylcholines were significantly reduced. Notably, phosphatidylcholine 34:1 (PC34:1) was characterized by high abundance and closely correlation with UC disease. Our results also revealed that down-regulation of PC synthase PCYT1α and Pemt caused by UC modeling was the main factor leading to the reduction of PC34:1, and exogenous PC34:1 could greatly enhance the fumarate level via inhibiting the transformation of glutamate to N-acetylglutamate, thus exerting an anti-UC effect. Collectively, our study not only supplies common technologies and strategies for exploring lipid metabolism in mammals, but also provides opportunities for the discovery of therapeutic agents and biomarkers of UC.

Avermectins can affect biological processes of multiple tumor, including tumor cell proliferation and metastasis, cell cycle arrest, induction of apoptosis and autophagy, regulation of tumor microenvironment and tumor stem cells. Avermectins can be administered alone or combined with chemotherapeutic drugs to reverse multidrug resistance. To further explore the anti-tumor mechanism of avermectins will provide reliable experimental and theoretical guidance for future clinical application.

To study the effect of oral lienal polypeptide on cough and inflammation in mice, in order to expand the clinical application of immune modulator lienal polypeptide and provide a new strategy for relieving cough and inflammation. METHODS: The cough model of mice was induced by concentrated ammonia. The cough frequency and tolerance latency of mice within 6 minutes were recorded every day. The histopathological changes of spleen and lung were evaluated by HE staining and spleen index. TNF-α, IL-1β and IL-6 levels in spleen and lung of mice was detected by ELISA. RESULTS: Oral administration of spleen polypeptide could prolong the tolerance latency of mice to concentrated ammonia to a certain extent and significantly reduce the cough frequency of mice. HE staining showed that oral spleen polypeptide could significantly reduce the alveolar surface area and improve lung expansion in mice. The results of ELISA showed that oral spleen polypeptide decreased the levels of some proinflammatory factors in spleen and lung. CONCLUSION: Lienal polypeptide can alleviate cough and emphysema like symptoms induced by ammonia, improve immune ability and inflammation in mice.

Objective:To investigate the clinical value of radiomics based on computed tomography (CT) examination in preoperative differential diagnosis of pancreatic serous cystadenoma (SCA) and mucinous cystadenoma (MCA).Methods:The retrospective case-control study was conducted. The clinicopathological and imaging data of 154 patients with pancreatic cystic neoplasms who were admitted to the First Affiliated Hospital, Zhejiang University School of Medicine from January 2012 to December 2019 were collected. There were 24 males and 130 females, aged (50±13)years. Of the 154 patients, 99 cases were diagnosed as SCA and 55 cases were diagnosed as MCA. All the 154 patients underwent plain and enhanced CT scan of pancreas before operation. The clinical characteristics, radiology features and radiomics features of all patients were collected to construct the clinical characteristics model, radiology model, radiomics model and fused model. The receiver operating characteristic (ROC) curve of each model was drawn, and those constructed models were evaluated by area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value and negative predictive value. Based on the optimal model, the nomogram was constructed. Observation indicators: (1) establishment and validation of clinical characteristics model; (2) establishment and validation of radiology model; (3) establishment and validation of radiomics model; (4) establishment and validation of fused model; (5) nomogram of fused model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Results:(1) Establishment and validation of clinical characteristics model: 3 clinical characteristics, including age, symptoms and preoperative serum CA19-9, were selected using multinomial logistic linear regression analysis to construct the clinical characteristics model. Result of the multinomial logistic linear regression analysis was expressed by formula ①: clinical characteristics model score=0.635-0.007×age+0.054×clinical symptoms+0.108×preoperative serum CA19-9. The ROC curve for the test dataset of clinical characteristics model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of clinical characteristics model were 0.611(95% confidence interval as 0.488?0.734, P<0.05), 56.6%, 66.7%, 56.3%, 41.5%, 78.4% for the training dataset and 0.771(95% confidence interval as 0.624?0.919, P<0.05), 77.8%, 63.1%, 88.5%, 80.1%, 76.7% for the test dataset, respectively. (2) Establishment and validation of radiology model: 5 radiology characteristics, including tumor location, the number of tumors, tumor diameter of cross section, lobulated tumor and polycystic tumor (more than 6), were selected using multinomial logistic linear regression analysis to construct the radiology model. Result of the multinomial logistic linear regression analysis was expressed by formula ②: radiology model score=?0.034+0.300×tumor location+0.202×the number of tumors+0.014×tumor diameter of cross section?0.251×lobulated tumor?0.170×polycystic tumor (more than 6). The ROC curve for the test dataset of radiology model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of radiology model were 0.862(95% confidence interval as 0.791?0.932, P<0.05), 78.8%, 81.8%, 77.5%, 62.8%, 90.2% for the training dataset and 0.853(95% confidence interval as 0.713?0.994), P<0.05), 88.9%, 89.4%, 88.5%, 85.0%, 92.0% for the test dataset, respectively. (3) Establishment and validation of radiomics model: 4 categories of a total 1 067 radiomics features were extracted from 154 patients with pancreatic cystic neoplasms, including 7 first-order histogram features, 53 texture features, 848 wavelet features and 159 local binary pattern features. A total of 896 stable radiomics features were retained to construct the model, based on the condition of intraclass correlation coefficient >0.9. After selected by variance threshold and correlation coefficient threshold, 350 radiomics features were retained. Fifty synthetic radiomics features were constructed based on the original features in order to obtain potential radiomics features, and the total number of radiomics features was 400. After analyzed by the five-fold recursive feature elimination, 22 radiomics features were screened out, including 13 wavelet features, 7 synthetic radiomics features and 2 local binary pattern features. The support vector machine algorithm was used to construct the radiomics model. The penalty coefficient 'C' and parameter 'γ' of the radiomics model were 35.938 and 0.077, respectively. The kernel function of the radiomics model was 'radial basis function kernel'. The ROC curve of radiomics model using 5-fold cross validation was drawn. The average AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of the radiomics model were 0.870 ( P<0.05), 83.1%, 81.8%, 83.8%, 73.8% and 89.2%, respectively. (4) Establishment and validation of fused model: the fused model was constructed after selecting the tumor location and lobulated tumor of radiology characteristics and radiomics score. Result of the multinomial logistic linear regression analysis was expressed by formula ③: fused model socre=?0.154+0.218×tumor location?0.223×lobulated tumor+0.621×radiomics score. The ROC curve for the test dataset of fused model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of fused model were 0.893(95% confidence interval as 0.828?0.958, P<0.05), 83.7%, 81.8%, 84.5%, 71.1%, 90.9% for the training dataset and 0.966(95% confidence interval as 0.921?0.999, P<0.05), 91.1%, 84.2%, 96.2%, 94.1%, 89.3% for the test dataset, respectively. (5) Nomogram of fused model: the nomogram of fused model was illustrated with the Youden index of 0.416. Conclusion:The prediction model based on the radiomics signature and radiological features extracted from preoperative CT examination can make the differential diagnosis of pancreatic SCA from MCA.

Objective:To investigate the reasons of anastomotic leakage following learning curve by laparoscopic anterior resection of rectal cancer.Methods:From December,2011 to March,2015,the clinical information of 179 patients in our hospital who underwent dixon of rectal cancer were collected.The patients were divided into a laparoscopic learning group,a laparotomy group and a laparoscopic group,The reasons of anastomotic leakage for each group were comparatively analyzed.Repeated cutting of anastomotic stoma was compared between the laparoscopic learning group and the laparoscopic group.The male,age,obesity,nutrition complications and the position of anastomotic stoma were compared among the 3 groups.Results:The rate of anastomotic leakage in the laparoscopic learning group was significantly higher than that in the laparotomy group and the laparoscopic group (P＜0.05).Repeated cutting was a significant risk factor in the laparoscopic learning group (P＜0.05),but not in the laparoscopic group.Except obesity,the four factors were significant risk factors in the laparoscopic learning group (P＜0.05).All of the five factors were not the significant risk factors in the laparotomy group and the laparoscopic group (P＞0.05).Conclusion:The operation technical shortcoming is the major factor in the learning of the laparoscopic anterior resection of rectal cancer.In order to reduce the rate of anastomotic leakage in the learning curve period,the selection of patients following the laparoscopic anterior resection of rectal cancer should avoid the following factors:male,older age,the low position of the tumor and the nutrition complications.

Objective To evaluate early diagnosis by gastroscopy for the causes of gastroduodenal perforation after successful non-surgical treatment.Method Gastroduodenal perforation patients suspected of benign ulcer in origin on hospital admission undergoing successful non-surgical treatment were examined by gastroscopy within days after the closure.Results Among 284 patients undergoing gastroscopy,277 cases (97.5％) were diagnosed as gastroduodenal ulcer,3 cases (1.1％) as gastric carcinoma,1 case (0.4％) of duodenal diverticulum.There were not major complications developing after gastroscopy.Conclusion Early gastroscopy performed after closure by non-surgical treatment in gastroduodenal perforation patients is safe,helping make definite diagnosis for the cause of perforation.

OBJECTIVETo establish the quality standard for carbonizing drug characteristic of ginger carbon.

METHODGingers and different carbonized gingers were compared by the absorption of pigment, tannin content, pH, mouth's coagulation time and bleeding time.

RESULTThe study resulted in the recommended carbonizing standard that the absorption capacity shall not be less than 7.50 mg x g(-1) for methylene blue, the tannin content shall not be less than 2.103 mg x g(-1), the pH shall be (5.50 +/- 0.10), and coagulation time and bleeding time shall be the shorter the better.

CONCLUSIONThe established assessment standard for carbonizing drug characteristic of ginger carbon is reasonable, easily operated and feasible.

Absorption ; Animals ; Blood Coagulation ; drug effects ; Carbon ; chemistry ; Drugs, Chinese Herbal ; chemistry ; pharmacology ; Female ; Ginger ; chemistry ; Hydrogen-Ion Concentration ; Mice ; Quality Control ; Tannins ; analysis

To investigate the inhibitory effects of Ginsenoside Rb1 (GRb1) on apoptosis caused by Herpes Simplex Virus-1 (HSV-1) in Human Glioma Cells (U251),U251 cells were infected by HSV-1 at a multiplicity of infection of 5 and GRb1,GRb1+HSV-1,HSV-1 and control groups.MTT and cell apoptosis assays were used to detect the inhibitory effects of GRbl on the apoptosis of U251 cells that caused by HSV-1 infection for various concentrations of drug and virus treatments by MTT assay.We found that in the 400 μg/mL GRbl and 400 μg/mL GRbl+HSV-1 groups,MTT values were higher than control group at all times (P＜0.05).Moreover,the apoptosis rate in the 400 μg/mL GRb1+HSV-1 group was lower than the HSV-1 group (P＜0.05).These results confirmed that,at appropriate concentrations,GRb 1 could inhibit nerve cell apoptosis in HSV-1 infections.