Objective:To comprehensively understand the disease burden of liver cirrhosis and other chronic liver diseases caused by alcohol use in China from 1990 to 2019, as well as to predict the trends in disease burden from 2020 to 2030.Methods:The analysis utilized data from the Global Burden of Disease study in 2019 (GBD2019). Key indicators such as incidence rate, mortality rate, disability-adjusted life years (DALY), years of life lost due to premature mortality, and years lived with disability were selected to describe the disease burden of alcohol-related liver cirrhosis and other chronic liver diseases in China from 1990 to 2019. The estimated annual percentage change (EAPC) was used to depict the temporal trends in disease burden. Furthermore, a Bayesian age-period-cohort (BAPC) model was constructed using R software to predict the age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) of alcohol-related liver cirrhosis and other chronic liver diseases in China from 2020 to 2030.Results:From 1990 to 2019, the incidence of alcohol-related liver cirrhosis and other chronic liver diseases in China showed an upward trend, with an EAPC of 0.31% (95% CI: 0.10%-0.52%). However, the DALY declined, with an EAPC of -2.81% (95% CI: -2.92% - -2.70%). The ASMR showed a downward trend, with an EAPC of -2.55% (95% CI: -2.66% - -2.45%). The highest incidence of cirrhosis of liver caused by alcohol and other chronic liver diseases was reported in the age group of 35-49 years, while the ASMR increased gradually with age, with a significant rise after the age of 30. The age-standardized DALY rate peaked between the ages of 55 and 64. The disease burden indicators for males were consistently higher than those for females during the same period. According to the predictions of the BAPC model, from 2020 to 2030, the ASIR for cirrhosis of liver caused by alcohol and other chronic liver diseases in the entire population of China was projected to increase from 3.45/100 000 in 2020 to 3.78/100 000 in 2030, a growth of 9.57%. Conversely, the ASMR was expected to decrease from 1.45/100 000 in 2020 to 1.24/100 000 in 2030, a reduction of 14.48%. Conclusions:The disease burden of cirrhosis of liver caused by alcohol and other chronic liver diseases remained serious in China, especially in men and the middle-aged to elderly population. There is a pressing need to prioritize attention and resources towards these groups. Despite the projected decrease in ASMR, the ASIR continued to rise and is expected to persist in its upward trend until 2030.

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.

The interaction of gut microbiota and its metabolites with the host not only plays an important role in maintaining gut homeostasis and host health, but also is a key link in responding to pathogen infections. A thorough understanding of the changes in gut microbiota and its metabolites during infection, as well as their role and mechanism in host defense against infection, is helpful to guide anti-infection treatment. This review focuses on the role of gut microbiota and their metabolites in host defense against bacterial, fungal, and viral infections, and reveals that they can exert anti-infection effects through resistance mechanisms (inducing antimicrobial substances, training immunity, inhibiting pathogen respiration, directly neutralizing pathogens, immune regulation) and tolerance mechanisms (altering energy metabolism patterns of microbiota, cell proliferation and tissue damage repair, maintaining physiological signal transduction in extraintestinal organs, inflammation regulation, maintaining the integrity of the intestinal barrier), and also summarizes measures to regulate gut microbiota against pathogen infections, in order to provide more ideas for novel anti-infection prevention and treatment strategies targeting gut microbiota and its metabolites.

Objective This paper aims to investigate the application of intraoral scanning and cone beam computed tomography(CBCT)registration implant robot in dental implant surgery.Methods The data of 40 cases with dental de-fect of robot-assisted implantation from November 2023 to May 2024 were retrospectively analyzed.Before the opera-tion,the intraoral scan data and CBCT data of the posi-tioning markers were automatically fused with the initial CBCT images,and the registration error was calculated.The average registration error of positioning markers was determined during the operation,and the implantation ac-curacy was analyzed after the operation.Results The intraoral scan data and CBCT data of 40 patients with dental defect wearing positioning markers were successfully registered with the initial CBCT image,and the registration errors were(0.157±0.026)mm and(0.154±0.033)mm,respectively.Statistical analysis showed no statistical significance between them.The registration errors of the marker was(0.037 3±0.003 6)mm.A total of 55 implants were performed,and the total deviations of the implant point and the apical point were(0.78±0.41)and(0.89±0.28)mm,respectively.The transverse deviations of the implant point and the apical point were(0.44±0.36)and(0.58±0.25)mm,respectively.The depth deviations of the implant point and the apical point were(0.51±0.32)and(0.54±0.36)mm,respectively.The devia-tion of the implant angle was 1.24°±0.67°.Conclusion The fusion technology based on intraoral scanning and CBCT registration can meet the accuracy requirements of preoperative registration of oral implant robots.The technology in-creases the choice of registration methods before robot-assisted dental implant surgery and reduces the multiple radiation exposuresof the patient.

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.

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.

Objective:To investigate the enrollment scale and distribution of Master's Degree in Pediatrics programs in China, and to provide a reference for promoting pediatric education and disciplinary development.Methods:Data on colleges and universities authorized to award Master's Degree in Pediatrics in 2023 were collected, sorted, and analyzed for the number, structure, distribution, and enrollment scale and direction of these institutions using descriptive statistics.Results:Among the 117 clinical medicine academic master's degree programs in China, 72 enroll pediatric academic master's degree candidates, with an enrollment of 260 students. Among the 120 master's degree programs in clinical medicine, 104 enroll professional master's degree candidates, enrolling 1 195 students. Enrollment is mainly concentrated in East China, "non-double first-class" colleges and universities, medical colleges and universities with subject level B, and enrollment is carried out in the direction of secondary disciplines.Conclusions:The number of colleges and universities authorized to award Master's Degree in Pediatrics was small, and the distribution of these colleges and universities was unbalanced. The enrollment scale was small and the orientation of Professional Master's Degree was not reasonable. Some colleges and universities were authorized to award Master's Degree in Pediatrics, but did not enroll any students. It is suggested to increase the number of colleges and universities authorized to award Master's Degree in Pediatrics and strengthen the staffing of pediatric departments. The aim is to expand the enrollment scale of candidates for Master's Degree in Pediatrics, improving the differential training of candidates for Academic Master's Degree and Professional Master's Degree, and attach importance to the construction of pediatrics.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective To explore the correlation between colorectal cancer tissue Janus kinase 2(JAK2)gene mutations and T cytokine 3(TCF3)protein expression with clinical pathological characteristics and prognosis,and to provide laboratory reference indicators for early evaluation of the illness severity and prognosis of colorectal cancer.Methods A retrospective analysis was conducted on the data of 50 colorectal cancer patients who were admitted from January 2016 to April 2021 and retained colon cancer and adjacent tissue wax blocks.Basic information,clinical and pathological features such as TNM staging,lymph node metastasis,and 3-year survival prognosis of the patients were collected.The wax blocks of colon cancer and adjacent tissues of patients were detected,in which Taqman fluorescence probe method was applied to detect the distribution of JAK2 gene at the rs2230724 locus AA,AG,and GG genotypes in colon cancer tissues,and immunohistochemistry method was applied to detect the positive expression rate of TCF3 protein in colon cancer and adjacent tissues.The basic information,JAK2 rs2230724 gene mutation,and TCF3 protein expression of patients with different clinical and pathological characteristics were compared,and the influencing factors of clinical and pathological characteristics of colon cancer was analyzed by logistic regression model.Kaplan Meier survival curve was applied to compare the survival prognosis of patients with JAK2 gene mutations and TCF3 protein expression in colorectal cancer tissue,and Cox regression model was applied to analyze the risk factors affecting the prognosis of colorectal cancer patients.Results The positive expression rate of TCF3 protein in colon cancer tissues was higher than that in adjacent tissues(P＜0.05).The age,BMI,proportion of GG genotype at rs2230724 locus of JAK2 gene and positive expression rate of TCF3 protein in TNM stage Ⅲ colon cancer patients were higher than those in TNM stage Ⅰ-Ⅱ patients(P＜0.05);The age,BMI,smoking rate,proportion of GG type at the rs2230724 locus of JAK2 gene in colon cancer tissue,and positive expression rate of TCF3 protein in patients with lymph node metastasis were higher than those without lymph node metastasis(P＜0.05);The results of the logistic regression model analysis showed that the influencing factors of clinical pathological features such as TNM staging and lymph node metastasis in colon cancer were age,mutation of JAK2 gene rs2230724 site in colon cancer tissue,and positive expression rate of TCF3 protein(P＜0.05).The Kaplan Meier survival curve analysis showed that patients with JAK2 gene rs2230724 GG genotype and TCF3 protein positivity in colon cancer tissue had higher cumulative all-cause mortality rates(P＜0.05).The results of univariate and multivariate Cox regression model analysis showed that independent risk factors affecting the prognosis of colorectal cancer patients include JAK2 gene rs2230724 site GG type,TCF3 protein positive expression,TNM stage Ⅲ,lymph node metastasis,and age.Conclusion The proportion of JAK2 gene rs2230724 GG type and TCF3 protein expression in colorectal cancer tissues are related to their clinical pathological characteristics and prognosis,and can be used as reference indicators for evaluating clinical pathological characteristics and predicting prognosis of colorectal cancer.

Objective To investigate the clinical efficacy of Guiyuan Shujin Mixture in the treatment of patients with lumbar disc herniation(LDH)and to explore its possible therapeutic mechanism.Methods Sixty-eight patients with LDH of qi stagnation and blood stasis syndrome were randomly divided into trial group and control group,with 34 cases in each group.The control group was treated with Celecoxib Tablets and Mecobalamin Tablets orally,and the trial group was treated with Guiyuan Shujin Mixture on the basis of treatment for the control group.The course of treatment lasted for 4 weeks.Before and after treatment,the two groups were observed in the changes of the Visual Analogue Scale(VAS)score of low back pain and lower limb pain,Oswestry Disability Index(ODI)score,modified Japanese Orthopedic Association(JOA)score,serum levels of inflammatory factors of tumor necrosis factor α(TNF-α),interleukin 6(IL-6)and interleukin 1β(IL-1β),and serum nuclear factor-κB p65(NF-κB p65)level.After treatment,the clinical efficacy and safety of the two groups were evaluated.Results(1)During the trial,one case fell off in the trial group and 3 cases fell off in the control group.Eventually,33 cases in the trial group and 31 cases in the control group were included for the efficacy statistics.(2)After 4 weeks of treatment,the total effective rate of the trial group was 96.97%(32/33),and that of the control group was 87.10%(27/31).The intergroup comparison(tested by rank sum test)showed that the curative effect of the trial group was significantly superior to that of the control group(P＜0.05).(3)After treatment,the VAS score and ODI score of low back pain and lower limb pain in the two groups were lower than those before treatment(P＜0.05 or P＜0.01),and the modified JOA score was higher than that before treatment(P＜0.01).The decrease of VAS score and ODI score of low back pain and lower limb pain and the increase of modified JOA score in the trial group were significantly superior to those in the control group(P＜0.05 or P＜0.01).(4)After treatment,the serum levels of inflammation-related indicators of TNF-α,IL-6,IL-1β and NF-κB p65 in the two groups were lower than those before treatment(P＜0.01),and the decrease in the trial group was significantly superior to that in the control group(P＜0.01).(5)During the treatment,the incidence of adverse events in the trial group was 2.94%(1/34)and that in the control group was 8.82%(3/34),and the difference between the two groups was not significant(P＞0.05).Conclusion Guiyuan Shujin Mixture exerts certain effect in the treatment of LDH patients with qi stagnation and blood stasis syndrome.It can effectively relieve the pain symptoms of patients,improve the lumbar function of patients,and reduce the expression levels of serum inflammatory factors and NF-κB p65.The mechanism may be related with the decrease of the level of inflammatory factors and with the inhibition of the activation of NF-κB signaling pathway.