Aim To explore the efficacy of levosimendan on hypoxia pulmonary hypertension through animal experiments, and to further explore the potential mechanism of action using network pharmacological methods and molecular docking technique. Methods The rat model of hypoxia pulmonary hypertension was constructed to detect right heart systolic pressure and right heart remodeling index. HE , Masson, and VG staining were core targets were screened out. GO and KEGG pathway enrichment analysis were performed using the DAVID database. Molecular docking of the core targets was performed with the AutoDock software. Results The results of animal experiments showed that levosimendan had obvious therapeutic effect on hypoxia pulmonary hypertension. The network pharmacology results showed that SRC, HSP90AA1, MAPK1, PIK3R1, AKT1, HRAS, MAPK14, LCK, EGFR and ESR1 used to analyze the changes of rat lung histopathology. Search the Swiss Target Prediction, DrugBank Online, BatMan, Targetnet, SEA, and PharmMapper databases were used to screen for drug targets. Disease targets were retrieved from the GeneCards, OMIM databases. The "drug-target-disease" network was constructed after identification of the two intersection targets. The protein interaction network was constructed and the were the key targets to play a therapeutic role. Molecular docking showed good docking of levosimendan with all the top five core targets with degree values. Conclusions Levosimendan may exert a therapeutic effect on hypoxia-induced pulmonary hypertension through multiple targets.

Objective To systematically evaluate the clinical effect of transcutaneous electrical acupoint stimulation(TEAS)on promoting postoperative gastrointestinal function recovery.Methods Randomized controlled trials(RCTs)related to postoperative gastrointestinal function using TEAS were re-trieved from the CNKI,WanFang,VIP,Embase,and PubMed database.RCTs on the effects of TEAS on postoperative gastrointestinal function were included.Methodological quality was evaluated using the quality evaluation tools recommended in Cochrane evaluation manual 5.1.Meta-analysis was performed using Rev-Man 5.3 and Stata 15.Results Thirty-four RCTs involving 3 593 patients were included.There were 1 781 patients in the TEAS group and 1 812 patients in the non-TEAS group.Compared with the non-TEAS group,the incidence of nausea(RR = 0.46,95%CI 0.36 to 0.59,P＜0.001)and vomiting(RR = 0.47,95%CI 0.37 to 0.59,P＜0.001)within 24 hours after surgery was significantly reduced in the TEAS group,and the postoperative recovery time of bowel sound(MD =-6.42 hours,95%CI-8.53 to-4.32 hours,P＜0.001),first exhaust time(MD =-8.72 hours,95%CI-10.64 to-6.80 hours,P＜0.001),andfirstdefecationtime(MD =-11.83hours,95%CI-14.67 to-8.98 hours,P＜0.001)were significantly shortened.Conclusion TEAS can promote postoperative gastrointestinal function recovery,significantly reducing the incidence of postoperative nausea and vomiting within 24 hours after sur-gery,and shortening the time of first anal exhaust and defecation after surgery.

Tuberous sclerosis complex(TSC)is a rare genetic disease that can lead to benign dysplasia in multiple organs such as the skin, brain, eyes, oral cavity, heart, lungs, kidneys, liver, and bones. Its main symptoms include epilepsy, intellectual disabilities, skin depigmentation, and facial angiofibromas, whilst incidence is approximately 1 in 10 000 to 1 in 6000 newborns. This case presents a middle-aged woman who initially manifested with epilepsy and nodular depigmentation. Later, she developed a lower abdominal mass, elevated creatinine, and severe anemia. Based on clinical features and whole exome sequencing, the primary diagnosis was confirmed as TSC. Laboratory and imaging examinations revealed that the lower abdominal mass originated from the uterus. CT-guided biopsy pathology and surgical pathology suggested a combination of leiomyoma and abscess. With the involvement of multiple organs and various complications beyond the main diagnosis, the diagnostic and therapeutic process for this patient highlights the importance of rigorous clinical thinking and multidisciplinary collaboration in the diagnosis and treatment of rare and challenging diseases.

Proteolysis targeting chimera (PROTAC) is a drug discovery strategy using ubiquitin proteasome system (UPS) to degrade the target protein. Unlike traditional small molecule drugs utilizing occupancy-driven pharmacology as the mode of action (MOA) to regulate protein activity, PROTACs function through forming stable target protein-PROTAC-E3 ubiquitin ligase ternary complex and use ubiquitin proteasome system to degrade the target protein. However, only a few E3 ubiquitin ligases have been used in PROTAC drug design now, and the space of target proteins that PROTAC can target needs to be further expanded. On the other hand, the complicated system of ternary crystal structures is difficult to capture and identify, computational simulation provides modeling of PROTAC-mediated ternary complex formation with effective approaches. In view of this, this review describes the recent progress of bioinformatics on expanding the landscape of E3 ubiquitin ligases and target proteins, and summarizes the methods of computation simulation in modeling PROTAC ternary complex. Finally, the trend of development about PROTAC is prospected.

Professor Lau Wanyee, a member of the Chinese Academy of Sciences and a pro-fessor at the Chinese University of Hong Kong, actively advocates conducting clinical researches through "planting fruit trees" and "growing orchards", aiming to cultivate a team of dual-skilled talents in clinical practice and research, effectively improve the scientific and technological level of clinical medicine in China, make voice heard in the international medical science field, and better serve human health. He organized a clinical research training course in scholars′ forum for Hepatobiliary Young Expert Working Group of Chinese College of Surgeons. Throughout three sessions of the training course, a distinct theme was focused on how to enhance the level of clinical research in China and make voice heard by the international scholars. A group of multi-dimensional experts were gathered, including experts from surgery, methodology, and management, as well as both renowned experts and young talents. A lively teaching model was adopted, combining guided presentations with interactive discussion and debate sessions. A clean and upright academic spirit was strongly advocated, in which international rules were adopted to conduct in-depth analysis and sharp criticism of seven proposed clinical research projects and four published papers with high international influence to find quarrel in a straw. This clinical research training course provides a new model of guidance for young physicians in conducting clinical research. As a result, all attendees felt deeply educated and benefited greatly from the training session. This training activity not only laid a solid foundation for the development of scientization, standardization, and internationali-zation of clinical research in digestive surgery in China, but also demonstrated a correct path for cultivating a group of young and middle-aged clinical medical scientists with scientific spirit.

Objective:To construct a machine-learning model for predicting the progression of pancreatic cystic lesions (PCLs) based on clinical and CT features, and to evaluate its predictive performance in internal/external testing cohorts.Methods:Baseline clinical and radiological data of 200 PCLs in 177 patients undergoing abdominal thin slice enhanced CT examination at Peking Union Medical College Hospital from July 2014 to December 2022 were retrospectively collected. PCLs were divided into progressive and non-progressive groups according to whether the signs indicated for surgery by the guidelines of the European study group on PCLs were present during three-year follow-up. 200 PCLs were randomly divided into training (150 PCLs) and internal testing cohorts (50 PCLs) at the ratio of 1∶3. 15 PCLs in 14 patients at Jinling Affiliated Hospital of Medical School of Nanjing University from October 2011 to May 2020 were enrolled as external testing cohort. The clinical and CT radiological features were recorded. Multiple feature selection methods and machine-learning models were implemented and combined to identify the optimal machine-learning model based on the 10-fold cross-validation method. Receiver operating characteristics (ROC) curve was drawn and area under curve (AUC) was calculated. The model with the highest AUC was determined as the optimal model. The optimal model's predictive performance was evaluated on testing cohort by calculating AUC, sensitivity, specificity and accuracy. Permutation importance was used to assess the importance of optimal model features. Calibration curves of the optimal model were established to evaluate the model's clinical applicability by Hosmer-Lemeshow test.Results:In training and internal testing cohorts, the progressive and non-progressive groups were significantly different on history of pancreatitis, lesions size, main pancreatic duct diameter and dilation, thick cyst wall, presence of septation and thick septation (all P value <0.05) In internal testing cohort, the two groups were significantly different on gender, lesion calcification and pancreatic atrophy (all P value <0.05). In external testing cohort, the two groups were significantly different on lesions size and pancreatic duct dilation (both P<0.05). The support vector machine (SVM) model based on five features selected by F test (lesion size, thick cyst wall, history of pancreatitis, main pancreatic duct diameter and dilation) achieved the highest AUC of 0.899 during cross-validation. SVM model for predicting the progression of PCLs demonstrated an AUC of 0.909, sensitivity of 82.4%, specificity of 72.7%, and accuracy of 76.0% in the internal testing cohort, and 0.944, 100%, 77.8%, and 86.7% in the external testing cohort. Calibration curved showed that the predicted probability by the model was comparable to the real progression of PCLs. Hosmer-Lemeshow goodness-of-fit test affirmed the model's consistency with actual PCLs progression in testing cohorts. Conclusions:The SVM model based on clinical and CT features can help doctors predict the PCLs progression within three-year follow-up, thus achieving efficient patient management and rational allocation of medical resource.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

This study using maltodextrin as raw material, 1%-5% polyvinylpyrrolidone K30 as template agent, 1%-5% ammonium bicarbonate as pore-forming agent, curcumin and ibuprofen as model drugs. Porous maltodextrin was prepared by template and pore-forming agent methods, respectively. The structure and drug delivery behavior of porous maltodextrin prepared by different technologies were comprehensively characterized. The results showed that the porous maltodextrin prepared by pore-forming agent method had larger specific surface area (6.449 4 m²·g^-1) and pore size (32.804 2 nm), which was significantly better than that by template agent method (3.670 2 m²·g^-1, 15.278 5 nm). The adsorption kinetics between porous maltodextrin prepared by pore-forming agent method and curcumin were suitable for quasi-first order adsorption kinetic model, and that between porous maltodextrin and ibuprofen were suitable for quasi-second order adsorption kinetic model. While the adsorption kinetics between porous maltodextrin prepared by template agent method and two model drugs were both suitable for the quasi-first order adsorption kinetic model. In addition, the dissolution behavior analysis showed that the porous maltodextrin prepared by the two technologies can significantly improve the dissolution behavior of insoluble drugs, and the drug release was both carried out by diffusion mechanism, which suitable for the Peppas kinetic release model, but the porous maltodextrin prepared by template agent method had a faster release rate. The change of nozzle diameter had no significant effect on the adsorption process and drug release behavior of porous maltodextrin. In conclusion, the porous maltodextrins prepared by two different technologies were both beneficial to the delivery of insoluble drugs, and the template agent method was the best for delivery of insoluble drugs. This study can provide theoretical basis for the preparation of porous particles, promote the application of porous particles in insoluble drugs, and improve the bioavailability of insoluble drugs.

The 20th National Congress report proposed the most important and core strategic path of national governance:Chinese modernization.Under the guidance of the top-level design,the healthcare security system needs to find a new paradigm of healthcare security governance under the Chinese modernization that is both in line with Chinese characteristics and the basic laws and characteristics of the world's sanitary resources.Combined with the 20th National Congress report,the medical reform tasks of"promoting the development and governance of medical services,medical insurance and pharmaceutical synergy"and"promoting the inheritance of Traditional Chinese Medicine"are required to learn from the international"disproportionate share"health resources compensation system.From the perspective of necessity and adaptability,it explore the Traditional Chinese Medicine(TCM)disproportionate share mechanism of medical insurance,in order to maximize the realization of the strategic purchasing goal of health insurance and to provide a systematic,standardized and sustainable modernized Chinese health insurance model for the continuous support of TCM medicine special diagnosis and treatment with medical insurance resources.

The 20th National Congress report proposed the most important and core strategic path of national governance:Chinese modernization.Under the guidance of the top-level design,the healthcare security system needs to find a new paradigm of healthcare security governance under the Chinese modernization that is both in line with Chinese characteristics and the basic laws and characteristics of the world's sanitary resources.Combined with the 20th National Congress report,the medical reform tasks of"promoting the development and governance of medical services,medical insurance and pharmaceutical synergy"and"promoting the inheritance of Traditional Chinese Medicine"are required to learn from the international"disproportionate share"health resources compensation system.From the perspective of necessity and adaptability,it explore the Traditional Chinese Medicine(TCM)disproportionate share mechanism of medical insurance,in order to maximize the realization of the strategic purchasing goal of health insurance and to provide a systematic,standardized and sustainable modernized Chinese health insurance model for the continuous support of TCM medicine special diagnosis and treatment with medical insurance resources.