The research and development of innovative drug have progressed remarkably, but the long development circle and high failure rate have become the bottleneck. Drug repurposing, discovering new indications of approved drugs, is a strategy to overcome these obstacles. By exploring new indications for approved drugs, rapid progress has been made in basic research and clinical translation in recent years. Rich resources of drugs, proven security, efficient development workflow and reduced cost are core advantages of this strategy, making the strategy a crucial direction of optimizing the pipeline of drug research and development. This review systematically summarizes drug repurposing cases that have received clinical approval over the past five years, and proposes core strategies for drug repurposing, including approaches based on targets, pathways, drug similarity, post-treatment phenotypes, and clinical side effects, aiming to provide some strategic guidance for drug repurposing efforts.

Objective To predict the potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into O. hupensis surveillance and control in Yunnan Province. Methods The O. hupensis snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into O. hupensis snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population). Variables were screened with Pearson correlation test and variance inflation factor (VIF) test. The RF and MaxEnt models and the ensemble model were created using the biomod2 package of the software R 4.2.1, and the potential distribution of O. hupensis snails after 2016 was predicted in Yunnan Province. The predictive effects of models were evaluated through cross-validation and independent tests, and the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS) and Kappa statistics were used for model evaluation. In addition, the importance of environmental variables was analyzed, the contribution of environmental variables output by the models with AUC values of > 0.950 and TSS values of > 0.850 were selected for normalization processing, and the importance percentage of environmental variables was obtained to analyze the importance of environmental variables. Results Data of 148 O. hupensis snail distribution sites and 15 environmental variables were included in training sets of RF and MaxEnt models, and both RF and MaxEnt models had high predictive performance, with both mean AUC values of > 0.900 and all mean TSS values and Kappa values of > 0.800, and significant differences in the AUC (t = 19.862, P < 0.05), TSS (t = 10.140, P < 0.05) and Kappa values (t = 10.237, P < 0.05) between two models. The AUC, TSS and Kappa values of the ensemble model were 0.996, 0.954 and 0.920, respectively. Independent data verification showed that the AUC, TSS and Kappa values of the RF model and the ensemble model were all 1, which still showed high performance in unknown data modeling, and the MaxEnt model showed poor performance, with TSS and Kappa values of 0 for 24%(24/100) of the modeling results. The modeling results of 79 RF models, 38 MaxEnt models and their ensemble models with AUC values of > 0.950 and TSS values of > 0.850 were included in the evaluation of importance of environmental variables. The importance of annual sunshine duration (SSD) was 32.989%, 37.847% and 46.315% in the RF model, the MaxEnt model and their ensemble model, while the importance of annual mean relative humidity (RHU) was 30.947%, 15.921% and 28.121%, respectively. Important environment variables were concentrated in modeling results of the RF model, dispersed in modeling results of the MaxEnt model, and most concentrated in modeling results of the ensemble model. The potential distribution of O. hupensis snails after 2016 was predicted to be relatively concentrated in Yunnan Province by the RF model and relatively large by the MaxEnt model, and the distribution of O. hupensis snails predicted by the ensemble model was mostly the joint distribution of O. hupensis snails predicted by RF and MaxEnt models. Conclusions Both RF and MaxEnt models are effective to predict the potential distribution of O. hupensis snails in Yunnan Province, which facilitates targeted O. hupensis snail control.

Schistosomiasis was once hyper-endemic in Yunnan Province. Following concerted efforts for over 70 years, remarkable achievements have been made for schistosomiasis control in the province. In 2004, the Mid- and Long-term Plan for Schistosomiasis Prevention and Control in Yunnan Province was initiated in Yunnan Province, and the target for transmission control of schistosomiasis was achieved in the province in 2009. Following the subsequent implementation of the Outline for Key Projects in Integrated Schistosomiasis Control Program (2009—2015) and the 13th Five - year Plan for Schistosomiasis Control in Yunnan Province, no acute schistosomiasis had been identified in Yunnan Province for successive 12 years, and no local Schistosoma japonicum infections had been detected in humans, animals or Oncomelania hupensis snails for successive 6 years in the province by the end of 2020. The transmission of schistosomiasis was interrupted in Yunnan Province in 2020. This review summarizes the history of schistosomiasis, changes in schistosomiasis prevalence and progress of schistosomiasis control in Yunnan Province, and proposes the future priorities for schistosomiasis control in the province.

Objective:To explore the mechanism of Jianpi Qingchang Decoction in the treatment of UC by integrating network pharmacology, bioinformatics, molecular docking and experimental verification.Methods:The effective components and targets of Jianpi Qingchang Decoction were obtained from TCMSP database, and UC data sets GSE16879, GSE48958 and GSE75214 were obtained from GEO database, and differentially expressed genes were screened; intersection targets were obtained through Venn diagram, and GO function and KEGG pathway enrichment analysis was performed. An intersection target PPI network was constructed using STRING database and topology analysis was performed; hub genes were screened through lasso regression and the expression consistency of core targets in the dataset was verified through logistic regression. A UC mouse model was established and hub genes were validated.Results:A total of 213 drug targets of Jianpi Qingchang Decoction were obtained, and 499 common intersection targets of GSE16879, GSE48958 and GSE75214 were obtained by differential gene expression analysis. Thirty intersection targets of Jianpi Qingchang Decoction and UC were obtained, mainly acting on IL-17 signaling pathway, TNF signaling pathway, AGE-RAGE signaling pathway in diabetic complications, etc. PPI network topology analysis obtained 7 common intersection targets, including PTGS2, IL-1B, IL-6, MMP9, CXCL8, CCL2 and MMP2. IL-6 and MMP2 were selected as hub genes by lasso regression. Logistics regression analysis showed that IL-6 and MMP2 were risk factors for the disease. Compared with the model group, the expressions of IL-6 and MMP2 mRNA and protein in the colon tissue of the TCM group decreased ( P<0.05), and the morphology of colon tissue was improved compared with the model group. Conclusion:IL-6 and MMP2 are risk factors for UC, the therapeutic effect of Jianpi Qingchang Decoction is to mediate Il-17 signal pathway, TNF signal pathway and AGE-RAGE signal pathway in diabetic complications through the targets of IL-6, and MMP2, thereby treating UC.

Objective:To analyze the clinical epidemiological characteristics and the prognostic risk factors of patients with hemorrhagic fever with renal syndrome (HFRS).Methods:A total of 2 245 HFRS patients who were admitted to the Second Affiliated Hospital of Air Force Medical University from September 2008 to December 2021 were enrolled. Clinical epidemiological data (including gender, age, onset season, onset region, case fatality rate, et al) of HFRS patients were analyzed. The clinical epidemiological characteristics of patients with HFRS in the 2008 to 2012, 2013 to 2017, and 2018 to 2021 groups were compared. Statistical comparisons were performed using chi-square test. The Bonferroni adjusted P-value method was used for pairwise comparisons between groups, and logistic regression analysis was used to screen and evaluate the risk factors associated with the prognosis of HFRS patients. Results:The age of 2 245 HFRS patients was (42.3±15.9) years old. Most of them were male (79.24%(1 779/2 245)), and the main incidence area was Xi′an City (69.53%(1 561/2 245)). There were 132 deaths with an overall case fatality rate of 5.88%. There were 1 088 patients (48.46%) from 2008 to 2012, 647 patients (28.82%) from 2013 to 2017, and 510 patients (22.72%) from 2018 to 2021, with a mortality rate of 7.17%(78/1 088), 5.10%(33/647) and 4.12%(21/510), respectively. From 2008 to 2021, both the number of HFRS cases and the case fatality rate had shown a fluctuating downward trend. There were significant differences in case fatality rate, age distribution, onset season, and onset region among patients in the different year groups ( χ2=6.84, 49.22, 83.47 and 19.29, respectively, all P<0.05). The results of pairwise comparisons showed that the proportion of patients aged >60 years in the 2018 to 2021 group (23.33%(119/510)) was higher than those in the 2008 to 2012 group (12.13%(132/1 088)) and the 2013 to 2017 group (12.36%(80/647)), and the differences were statistically significant (both P<0.05). The proportions of patients at large peak (October to December) were 62.35%(318/510) in the 2018 to 2021 group and 56.26%(364/647) in the 2013 to 2017 group, which were both lower than that in the 2008 to 2012 group (75.18%(818/1 088)), and the differences were both statistically significant (both P<0.05). The case fatality rate of patients aged >60 years was 9.67%(32/331), which was higher than those of patients aged <30 years (2.86%(16/559)) and patients aged 30 to 60 years (6.20%(84/1 355)), with statistically significant differences (both P<0.05). Univariate analysis showed that age 30 to 60 years, age >60 years, smoking, complicated with hypertension, hypotensive shock and hypoxemia were significantly correlated with the prognosis of HFRS patients (odds ratio ( OR)=2.243, 3.632, 1.484, 3.532, 79.422 and 143.955, respectively, all P<0.05). The results of multivariate logistic regression analysis indicated that complicated with hypertension ( OR=2.467, P=0.004), hypotensive shock ( OR=11.658, P=0.001), and hypoxemia ( OR=67.767, P<0.001) were the independent risk factors affecting the prognosis of HFRS patients. Conclusions:The prevalence of HFRS has shown new changing characteristics from 2008 to 2021. The numbers of HFRS patients and the case fatality rates show a downward trend, and the proportion of HFRS patients aged >60 years increases. Complicated with hypertension, hypotensive shock and development with hypoxemia are the independent risk factors for the prognosis of HFRS.

Objective:To investigate the dynamic changes of routine laboratory parameters during the course of hemorrhagic fever with renal syndrome (HFRS) and estimate the predictive value for the severity of the disease.Methods:A retrospective cohort study was conducted, which enrolled 394 HFRS patients admitted to the Second Affiliated Hospital of Air Force Medical University (374 cases) and the Second Affiliated Hospital of Xi′an Jiaotong University (20 cases) from January 2019 to January 2022. The patients were divided into mild (mild and moderate) and severe (severe and critical) groups.The basic information, personal history, past history, treatment, complications and other clinical data of patients were collected and the results of the laboratory examinations in the morning at day 1, 2, 3, 4, 5, 7, 10, 15, 20 and 25 of hospitalization and before discharge were recorded. The dynamic changes of the patients′ routine laboratory indicators and the dynamic predictive values of each indicator for severe condition were analyzed. Mann-Whitney U test and chi-square test were used for comparison, and receiver operator characteristic (ROC) curve was used for predictive value evaluation. Results:The age of 212 patients in the mild group was 38(27, 61) years, and that of 182 patients in the severe group was 49(32, 64) years, the difference was statistically significant ( Z=-2.24, P=0.025). The incidences of acute pancreatitis, acute respiratory distress syndrome, multiple organ dysfunction syndrome, the utilization rates of blood purification and mechanical ventilation in the severe group were 6.0%(11/182), 12.6%(23/182), 19.8%(36/182), 89.6%(163/182) and 22.5%(41/182), respectively, and those in the mild group were 0(0/212), 0(0/212), 0(0/212), 15.6%(33/212) and 0.5%(1/212) respectively, and the differences were all statistically significant ( χ2=13.18, 28.45, 46.15, 214.48 and 50.02, respectively, all P<0.05). The levels of white blood cell count, lymphocyte count, monocyte count and neutrophil count were all increased rapidly after onset and peaked at days 4 to 6 of illness, with the counts of 14.2(9.7, 20.7)×10 9/L, 4.2(2.3, 6.2)×10 9/L, 1.5 (0.8, 3.3)×10 9/L and 8.3(4.3, 11.4)×10 9/L, respectively. Aspartate aminotransferase peaked (102(66, 178) U/L) within three days after onset and then decreased rapidly, returned to normal level by day 12. Blood urea nitrogen and creatinine both increased steadily after onset, peaked at day 9 to 10, with the levels of 13.2(7.7, 19.1) mmol/L and 255.4(122.9, 400.9) μmol/L, respectively. Prothrombin time, activated partial thromboplastin time, fibrinogen degradation products and D-dimer levels at day 3 after onset were 12.7(12.0, 13.2) s, 38.7(33.5, 51.9) s, 12.6(6.9, 32.0) mg/L and 4.9(2.2, 13.7) mg/L, respectively.Platelet count at day 4, neutrophil count at day 5, creatinine at day 11 and blood urea nitrogen at day 14 after onset had decent predictive values for estimating severity, of which the area under curve (AUC) values were 0.801(95% confidence interval (95% CI) 0.727 to 0.875), 0.824(95% CI 0.770 to 0.878), 0.862(95% CI 0.805 to 0.919) and 0.810(95% CI 0.722 to 0.897), respectively. Conclusions:Routine blood count, liver function and coagulation are important reference indicators for early warning of severe disease of HFRS, while with the progress of the disease, renal function indicators are effective in differentiating the severity of the disease. The platelet count at day 4, neutrophil count at day 5, creatinine at day 11 and blood urea nitrogen at day 14 after onset have predictive values for severe HFRS.

Zhuye Shigaotang， first recorded in ZHANG Zhongjing's Synopsis of the Golden Chamber （《金匮要略》）， is a commonly used prescription for treating heat syndrome in modern times. However， physicians of the past dynasties have different opinions on the mechanism of Zhuye Shigaotang in disease treatment. Based on HUANG Yuanyu's theory of Qi circulation， this paper holds that the root cause of the diseases treated by Zhuye Shigaotang is the deficiency of spleen and stomach in the middle energizer and the dysfunction of ascending and descending. The failure of Yin ascending leads to the failure of Yang transformation， and the failure of Yang descending causes the failure of Yin generation. As a result， heat and fire become predominant in the heart， lung， and stomach， which causes Qi counterflow and fluid consumption. Based on this pathogenesis， Zhuye Shigaotang is mainly composed of pungent， warm， sweet， and cold herbs. The combination of these herbs can protect the spleen and stomach and recover the Qi movement in the middle energizer， thereby clearing heat and fire， descending Qi， and promoting the generation of Qi and fluid. In clinical practice， this prescription can be applied to treating the syndromes of deficiency in spleen and stomach， dysfunction of middle energizer in transportation， dysfunction of ascending and descending， excessive heat and fire， and Qi counterflow and fluid consumption. The interpretation of Zhuye Shigaotang from the theory of Qi circulation can provide a new idea for differentiating syndromes， seeking causes， and developing prescriptions， which broadens the scope of clinical application of this prescription and provides a reference for interpreting ZHANG Zhongjing's method of compatibility.

Objective:To investigate the mechanism of curcumin in the treatment of diabetic retinopathy (DR) by network pharmacology and molecular docking.Methods:The compounds targets of curcumin were predicted by SEA and SwissTargetPrediction databases, and the DR target genes were obtained by CTD database.The different genes were mapped and matched by Venny database to screen their intersections.The intersecting genes were submitted to GeneMANIA database to construct a protein-protein interaction network.WebGestalt database was used to conduct enrichment analysis and AutoDock Vina was used to perform molecular docking of the core targets.Results:A total of 52 targets of curcumin, 1 599 targets of DR and 48 intersecting targets were detected.The core targets were serine/threonine-protein kinase 1 (AKT1), tumor necrosis factor-α (TNF-α), epidermal growth factor receptor (EGFR), signal transduction and activator of transcription 3 (STAT3) and heat shock protein 90 alpha family class A member 1 (HSP90AA1). Enrichment analysis suggested that these targets were mainly associated with signaling pathways, including the EGFR tyrosine kinase inhibitor resistance signaling pathway, hypoxia-inducible factor-1 (HIF-1) signaling pathway, interleukin (IL)-17 signaling pathway and advanced glycosylation end product-the receptor of advanced glycosylation end product (AGE-RAGE) signaling pathway.Conclusions:Curcumin may play an important role in the treatment of DR by regulating multiple signaling pathways to inhibit the inflammatory response and combat oxidative stress.

Glycyrrizae Radix et Rhizoma has high medicinal value and is widely used in compatibility. It is used most frequently in the compatibility of Chinese medicine prescriptions，and is known as ''Guolao''（national medicine） and "master of all medicines". The characteristic active ingredients are mainly liquitin，glycyrrizic acid，glycyrrizin，and licochalcone. In different compatibilities，based on traditional and modern pharmacological theories，the corresponding effect of Glycyrrizae Radix et Rhizoma are brought into play through different mechanisms. Based on the traditional pharmacology of Glycyrrizae Radix et Rhizoma for tonifying spleen，replenishing Qi，clearing heat，removing toxin，dispelling phlegm，relieving cough and pain，and harmonizing various medicines，this paper used herbal authentication to analyze its compatibility application and mechanism. It was found that Glycyrrizae Radix et Rhizoma played corresponding effect in compatibilities through "tonification"，"harmonization"，and "regulation". For example，Glycyrrizae Radix et Rhizoma was combined with tonics including Ginseng Radix et Rhizoma and Atractylodis Macrocephalae Rhizoma to tonify the five Zang-organs through its strong tonifying effect，combined with Paeoniae Radix Alba and Aconiti Lateralis Radix Praeparata to relieve emergencies and pains through harmonizing medicine power and properties，and combined with Rhei Radix et Rhizoma and Natrii Sulfas to reduce medicine intensity through regulating medicine properties and body characteristics. The application law and mechanism of the modern pharmacological compatibility of Glycyrrizae Radix et Rhizoma were analyzed by data mining and network pharmacology. It was found that the modern clinical formula was often compatible with Glycyrrizae Radix et Rhizoma for anti-inflammation，cardiovascular and cerebrovascular protection，anti-virus，and anti-tumor，Ephedrae Herba and Scutellariae Radix for anti-inflammation，Bambusae Caulis in Taenias，Salviae Miltiorrhizae Radix et Rhizoma，and Aurantii Fructus Immaturus for cardiovascular and cerebrovascular protection，and Ophiopogonis Radix and Chuanxiong Rhizoma for nerves protection. Meanwhile，the important targets of the characteristic ingredients were protein kinase B1 （Akt1），interleukin-6 （IL-6），tumor necrosis factor （TNF），and epidermal growth factor receptor （EGFR）. The important characteristic pathways such as tyrosine kinase inhibitor resistance pathway and cyclic guanosine monophosphate （cGMP）/protein kinase G （PKG） signal pathway played the role of cardiovascular and cerebrovascular protection，and proteoglycan pathway in cancer played a neuroprotective role. This study is expected to provide references for the rational compatibility and application of Glycyrrizae Radix et Rhizoma，as well as the compatibility application of Chinese medicine prescriptions.

OBJECTIVE To establish the fingerprints of Kangfuyan capsules and carry out chemical pattern recognition analysis，and simultaneously determine the contents of five components so as to promote the quality standard of the drug. METHODS High performance liquid chromatography （HPLC）fingerprints of 11 batches of Kangfuyan capsules （S1-S11）were established by Similarity Evaluation System of TCM Chromatographic Fingerprint （2012 edition）；identification and attribution analysis of chromatographic peaks were carried out by comparison with the chromatograms of the reference substance and the decoction pieces of single ingredient. SPSS 26.0 and SIMCA 14.1 software were used for cluster analysis and principal component analysis. HPLC method was used to determine the contents of matrine ，phellodendrine chloride ，rutin，forsythoside A and berberine hydrochloride. RESULTS There were 29 common peaks in the fingerprints for 11 batches of samples ，and the similarity was higher than 0.99. A total of 5 chromatographic peaks were identified ，which are matrine （peak 3），phellodendron chloride （peak 14），rutin （peak 20），forsythiaside A （peak 22） and berberine hydrochloride （peak 28）. The results of cluster analysis and principal component analysis showed that S 1-S9 were clustered into one category ，and S 10 and S 11 were clustered into another category. The contents of above 5 components were 29.320 5-60.144 3，0.621 6-1.076 6，1.025 9-2.830 5，2.899 3-6.212 7 and 4.425 1-8.581 6 mg/g， respectively. CONCLUSIONS The established fingerprint and content determination method are stable and reliable ，and can provide reference for the quality control of the preparation in combination with chemical pattern recognition analysis.