Objective To investigate the feasibility of the spatiotemporal filtering model in analysis of reported schistosomiasis cases, so as to provide insights into analysis of complicated data pertaining to schistosomiasis control. Methods Demographic and epidemiological data of reported schistosomiasis cases in Anhui Province from 1997 to 2010 were collected from Anhui Provincial Center for Disease Control and Prevention, and the annual prevalence of Schistosoma japonicum human infections was calculated. The meteorological data were captured from meteorological stations in counties (cities, districts) of Anhui Province where schistosomiasis cases were reported from 1997 to 2010 at the National Meteorological Information Center, including monthly average air temperature and precipitation. Meteorological data were interpolated using the inverse-distance weighting method, and the annual average air temperature and annual precipitation were calculated in each county (city, district). The centroid of the county (city, district) where schistosomiasis cases were reported was extracted using the software ArcGIS 10.0, and the Euclidean distance from each centroid to the Yangtze River was calculated as the distance between that county (city, district) and the Yangtze River. The global Moran’s I of the prevalence of S. japonicum human infections in Anhui Province for each year from 1997 to 2010 were calculated to analyze the spatial autocorrelation. A spatial weight matrix was constructed using Rook adjacency, and a first-order temporal weight matrix was built to quantify the relationship between disease changes over time. Subsequently, a spatiotemporal structure matrix was constructed. A negative binomial model was built based on the spatiotemporal structure matrix and data pertaining to reported schistosomiasis cases, and a linear model was created between the residual of the model and candidate set feature vectors to determine the optimal subset composition of the spatiotemporal filter through stepwise regression. Then, a spatio-temporal filtering model was constructed using the negative binomial model. Negative binomial models, Bayesian spatial models, and Bayesian spatiotemporal models were constructed and compared with the spatiotemporal filtering model to validate the performance of the spatiotemporal filtering model, and cross-validation was conducted for each model. The goodness of fit was evaluated using the deviance information criterion (DIC) and Watanabe-Akaike information criterion (WAIC), and the effectiveness of model validation was assessed using mean squared error (MSE), while the accuracy of assessment results was assessed using coefficients and their 95% confidence intervals (CI), and the computational efficiency was assessed based on the running time of the model. The four feature vectors with the largest Moran’s I values were selected to identify regions with autocorrelation through their schematic diagrams to investigate the differences in spatiotemporal patterns of specific regions. Results Of all models created, the spatiotemporal filtering model exhibited the highest goodness of fit (DIC = 3 240.70, WAIC = 3 257.80), the best model validation effectiveness (MSE = 42 617.52), and the runtime was 3.18 s, exhibiting the optimal performance. Across all modeling results, the distance from the Yangtze River showed a negative correlation with the number of reported schistosomiasis cases (coefficient values = −4.93 to −3.78, none of the 95% CIs included 0), and annual average air temperature or average precipitation posed no significant effects on numbers of reported schistosomiasis cases (both of the 95% CIs included 0). Schematic diagrams of feature vectors showed that the transmission of schistosomiasis might be associated with water systems in Anhui Province, and localized clustering patterns were primarily concentrated in the northern and western parts of schistosomiasis-endemic areas in the province. Conclusion The spatiotemporal filtering model is an effective spatiotemporal analysis characterized by simple modeling, user-friendly operation, accurate results and good flexibility, which may serve as an efficient alternative to conventional complex spatiotemporal models for data analysis in schistosomiasis researches.

ObjectiveTo explore the effect of Tanreqing injection combined with Ceftazide on the clinical efficacy， lung function， and laboratory inflammatory index of patients suffering from phlegm heat obstructing lung syndrome in acute exacerbation of chronic obstructive pulmonary disease （AECOPD）. MethodFrom June 2021 to June 2023， 76 patients diagnosed with phlegm heat obstructing lung syndrome in AECOPD were enrolled in the respiratory and critical medical department of Jieshou Hospital of Traditional Chinese Medicine. They were randomly divided into a control group and an observation group with 38 cases each. The control group used Ceftazidime intravenous drip and other conventional oxygen inhalation and antispasmodic treatment measures of western medicine. The observation group received Tanreqing injection intravenous drip based on the treatment of the control group， with a course of 10 days. The changes of laboratory indicators such as hs-CRP， calcitonin （PCT）， and interleukin-6 （IL-6） before and after treatment were analyzed， and the improvement of forced expiratory volume in the first second （FEV₁）， forced vital capacity （FVC）， one second rate （FEV₁/FVC）， assessment and improvement of the British Medical Research Society’s dyspnea index （mMRC）， self-evaluation test of chronic obstructive pulmonary disease patients （CAT）， and traditional Chinese medicine syndrome score was compared. In addition， the total effective rate between the two groups after treatment was compared. ResultAfter treatment， the hs-CRP， PCT， IL-6， FEV₁， FVC， FEV₁/FVC， mMRC， CAT scores， and traditional Chinese medicine syndrome evaluation of both groups improved （P<0.01）. After treatment， compared with the control group， the observation group showed more significant improvements in hs-CRP， PCT， IL-6， FEV₁， FVC， FEV₁/FVC， mMRC， CAT scores， and traditional Chinese medicine syndrome evaluation， and the difference was statistically significant （P<0.05，P<0.01）. The total clinical effective rate of the control group was 86.84% （33/38）， while that of the observation group was 94.74% （36/38）. The therapeutic effect of the observation group was better than that of the control group （χ²=8.471， P<0.05）. ConclusionTanreqing injection combined with Ceftazidime has obvious efficacy in the treatment of phlegm heat obstructing lung syndrome in AECOPD， which is better than the treatment of Ceftazidime antibiotics alone. It can reduce the risk of acute exacerbation， alleviate clinical symptoms， and delay the decline of lung function.

Background and objective Lung adenocarcinoma(LUAD)is a highly morbid and fatal cancer.De-spite advancements in modern medical treatment,the 5-year survival rate of patients remains suboptimal.Our previous study revealed that zinc finger SWIM-type containing 1(ZSWIM1),a novel protein,promotes the proliferation,migration,and inva-sion of LUAD cells.The aim of this study is to investigate the impact ofE3 ubiquitin ligase tripartite motif protein 21(TRIM21)on ZSWIM1-mediated cell proliferation and migration.Methods The interaction and co-localization between TRIM21 and ZSWIM1 were verified using co-immunoprecipitation(Co-IP)and immunofluorescence(IF).The effects of TRIM21 and ZSWIM1 on the proliferation and migration of LUAD cells were assessed through MTT and Transwell assays,respectively.Western blot(WB)analysis was conducted to evaluate the impact of TRIM21 and ZSWIM1 on the expression of epithelial-mesenchymal transition(EMT)markers in LUAD cells.The influence of TRIM21 on the ubiquitination of ZSWIM1 was exam-ined using Co-IP combined with WB.Results TRIM21 was found to interact and co-localize with ZSWIM1.Overexpression of TRIM21 inhibited the proliferation and migration of LUAD cells.Overexpression of TRIM21 reduced the promoting effect of ZSWIM1 on the proliferation,migration,and invasion of lung adenocarcinoma cells,and reversed the impact of ZSWIM1 on the expression of E-cadherin and Vimentin.Conversely,knockdown of TRIM21 further enhanced the promoting effect of ZSWIM1 on the proliferation and migration of LUAD cells.Mechanistically,we observed that overexpression of TRIM21 significantly en-hanced the ubiquitination level of ZSWIM1,leading to a decrease in ZSWIM1 protein expression.Conclusion TRIM21 binds to and promotes the ubiquitination of ZSWIM1,resulting in reduced protein expression of ZSWIM1,which leads to the inhibition of ZSWIM1-mediated promotion of proliferation,migration,and invasion in LUAD cells.

In recent years,radiation therapy has become a cornerstone in the treatment of head and neck tumors,significantly improving patient survival rates.However,the issue of radiation-induced carotid artery stenosis has garnered increasing attention.Characterized by multiple,long-segment,and unstable lesions,radiation-induced carotid stenosis presents unique challenges that traditional therapeutic approaches struggle to address.This review systematically summarized the pathological features and underlying mechanisms of radiation-induced carotid stenosis,with a focus on the roles of endothelial cells,smooth muscle cells,and vasa vasorum damage.Future research directions and preventive strategies are also discussed.

Cognitive dysfunction refers to dysfunction of individual perception,memory,understanding,learning,creation and other dysfunctions caused by abnormal brain function and structure.Based on the fact that the spleen can't regulate transportation and transformation,govern blood and send up essential substance,combined with the microbiota-gut-brain axis,this article discussed the etiology and pathogenesis of intestinal flora imbalance affecting cognitive dysfunction in TCM.It was proposed that the spleen in TCM and intestinal flora are connected in physiology and pathology:the spleen regulates spirit and governs cognition,when the spleen fails to function normally that it can't dominate transportation and transformation,govern blood and send up essential substance will cause that the brain spirit can not be nourished;intestinal flora is closely related to the spleen in TCM,and affects brain function through the nervous system,endocrine,immune and metabolic mechanisms.This article can provide explore new ideas for the clinical research and treatment of cognitive dysfunction of traditional Chinese and Western medicine.

In recent years, artificial intelligence-related technologies have been deeply combined with many medical fields, and the intersection of medicine and engineering has become a hot topic. There are problems with heavy data and difficulty making decisions in orthopedic disease diagnosis and treatment. Machine learning is an important method of artificial intelligence. Since it can automatically analyze and predict medical big data, it is widely used in the field of orthopedics. It also assists physicians in completing disease diagnosis and treatment efficiently. In this review paper, the application and progress of machine learning in preoperative, intraoperative, and postoperative diagnosis and treatment in orthopedics are reviewed, providing new ways for exploring more rational diagnosis and treatment strategies.

Objective:To explore the expression and predictive value of serum CD36 level in cardio-vascular risk in patients with rheumatoid arthritis (RA) and to provide a new theoretical basis for clinical iden-tification and prediction of patients at moderate and high cardiovascular risk in RA patients.Methods:Eighty-four RA patients hospitalized to the Department of Rheumatology and Immunology of the second hospital of Lanzhou University in Gansu Province were selected as the study subjects, and 34 healthy people were selected as the controls. All RA patients were divided into low cardiovascular risk groups and medium and high cardiovascular risk groups according to prediction for ASCVD risk in China (China-PAR) cardiovascular risk assessment. At the same time, they were tested for serological indicators at admission. Statistical Product and Service Solutions (SPSS)) 26.0 software was used for the statistical data analysis. T-test and nonparametric test were used for comparison of the measurement data. The Chi-square test and Fisher's exact test were used for the comparison of classified data. Variables with P<0.05 in univariate analysis were included into the Logistic regression model. Results:Compared with the healthy control group, the number of patients with medium and high cardiovascular risk in RA[8 cases (23.5)% and 38 cases (45.2)%, χ2=4.80, P=0.029] was significantly higher and was negatively correlated with serum CD36 ( r=-0.27, P<0.05). Logistic regression analysis showed that age [ OR(95% CI)=1.654(1.157, 2.365), P=0.006] and diastolic blood pressure [ OR(95% CI)=1.225(1.040, 1.442) , P=0.015] were independent risk factors for medium and high cardiovascular risk in RA patients, and serum CD36 level [ OR(95% CI)=0.569(0.352, 0.922) , P=0.022] was the protective factor of medium and high cardiovascular risk in RA patients according to the results of Logistic regression analysis. The area under the receiver operating characteristic (ROC) area under the curve (AUC) was 0.691, the cut-off value was 4.27 pg/ml, and the sensitivity and specificity were 89.7% and 41.0% respectively. Conclusion:The serum CD36 level decreases with the increase of cardiovascular risk in RA patients. A higher serum CD36 level is a protective factor of cardiovascular risk in RA patients, and CD36 has a certain predictive value for cardiovascular risk in RA patients and is a potential predictor.

Objective:To analyze the possible mechanism of Zuojin Pills on gastroesophageal reflux disease based on network pharmacology. Methods:By searching for the active constituent and protein targets of Zuojin Pills in TCMSP database,the protein names were converted into gene names in Uniprot database. Cytoscape 3.7.1 was used to draw the active constituent-target-medicine network diagram of Zuojin Pills and analyze the topological parameters. Then find the target of gastroesophageal reflux disease through OMIM,GeneCards,DRUGBANK database, find the intersection target of medicine and disease, perform PPI network analysis on the intersection target in STRING 11.0, and use the Metascape database to enrich the intersection target for further analysis. Cytoscape 3.7.1 was used to draw a network diagram of the active constituent- target-pathway of the medicine and to conduct a topology parameter analysis. Results:The main active constituent of Zuojin Pills in the treatment of gastroesophageal reflux disease are quercetin, Evodiamine, R-tetrahydroberberine, 1-methyl-2-nonyl-4-quinolone, berberine, etc. Targets include PTGS2, NOS3, MAPK1, EGFR, TNF, IL6, ERBB2, VEGFA, EGF, IL1B, etc., and these processes are mainly completed through inflammatory response, cancer, cell proliferation and apoptosis, cell connection, etc. Conclusions:The treatment of gastroesophageal reflux disease with Zuojin Pills is a complex process with multiple constituent, multiple targets, and multiple pathways. It is hoped that it which could provide reference for the future research on its mechanism of action.

Artificial Intelligence (AI) is an interdisciplinary subject developed on the basis of computer technology, cybernetics, mathematics, philosophy and brain science. The purpose of AI is to study new ways to extend the intelligence of human brain in various fields. In recent years, the rapid development of AI technology has brought innovation to medical science and health care. During the pandemic of coronavirus disease 2019 (COVID-19) AI has been widely used in epidemiological investigation and outbreak prediction, clinical diagnosis and treatment, hospital management, research and development of new drugs and vaccines. The application of AI has reduced the clinical workload and the consumption of medical resources, greatly assisted the battle against COVID-19.This article introduces the progresses on the applications of AI technology to provide information for its further application in the fighting against COVID-19.

Although mesenchymal stem cell-derived exosomes (MSC-exos) have been shown to have therapeutic effects in experimental periodontitis, their drawbacks, such as low yield and limited efficacy, have hampered their clinical application. These drawbacks can be largely reduced by replacing the traditional 2D culture system with a 3D system. However, the potential function of MSC-exos produced by 3D culture (3D-exos) in periodontitis remains elusive. This study showed that compared with MSC-exos generated via 2D culture (2D-exos), 3D-exos showed enhanced anti-inflammatory effects in a ligature-induced model of periodontitis by restoring the reactive T helper 17 (Th17) cell/Treg balance in inflamed periodontal tissues. Mechanistically, 3D-exos exhibited greater enrichment of miR-1246, which can suppress the expression of Nfat5, a key factor that mediates Th17 cell polarization in a sequence-dependent manner. Furthermore, we found that recovery of the Th17 cell/Treg balance in the inflamed periodontium by the local injection of 3D-exos attenuated experimental colitis. Our study not only showed that by restoring the Th17 cell/Treg balance through the miR-1246/Nfat5 axis, the 3D culture system improved the function of MSC-exos in the treatment of periodontitis, but also it provided a basis for treating inflammatory bowel disease (IBD) by restoring immune responses in the inflamed periodontium.
Colitis ; Exosomes ; Humans ; Periodontitis/therapy* ; Periodontium ; T-Lymphocytes, Regulatory ; Th17 Cells