Atopic dermatitis （AD） is a common pruritic and chronic inflammatory dermatosis in clinical practice and is one of the diseases responding specifically to traditional Chinese medicine （TCM）. With the launch of biological agents and small molecule drugs and the development and implementation of guidelines of diagnosis and treatment， clinical pathways of treatment of moderate to severe AD， and consensus on the whole-process management of AD， the clinical efficacy of moderate to severe AD has been significantly improved. However， there are still many unmet clinical needs that require more effective methods to meet. In response to the Opinions of the CPC Central Committee and the State Council on Facilitating the Inheritance， Innovation， and Development of Traditional Chinese Medicine and the spirit of the National Conference on TCM， the China Association of Chinese Medicine organized more than 20 experts in TCM dermatology， Western medicine dermatology， interdisciplinary fields， and industries to discuss the difficulties and advantages of TCM in the treatment of AD. TCM treatment for AD can not only improve rash and relieve itching but also solve many concomitant syndromes. The abundant external treatment methods of TCM have advantages for different special populations and rash characteristics. The concept of treating disease before its onset in TCM is in line with the chronic disease management mode of prevention and treatment of atopic march and prevention of recurrence. In addition， TCM therapy can reduce the use of topical glucocorticoids and has good safety. Regarding the comorbidity of AD， equal emphasis on TCM and Western medicine and multidisciplinary joint treatment should be advocated to achieve maximum benefit for patients. The exchange of TCM and Western medicine has clarified the positioning and advantages of TCM intervention in AD， providing guidance for clinical and scientific research.

Magnetic fields are safe and used in noninvasive physical therapies. Numerous studies have confirmed that magnetic fields have good osteogenic effects and certain value for clinical application in accelerating orthodontic tooth movement, promoting bone-implant integration, promoting fracture healing and improving the effects of distraction osteogenesis. Magnetic fields are expected to become applied as effective auxiliary methods for treating oral diseases. To support the clinical application of magnetic fields, this article reviews the applications of magnetic fields in the oral cavity, the biological effects on bone cells and the molecular mechanisms through which magnetic fields regulate bone metabolism. The biological effects of magnetic fields on bone cells include promoting osteogenesis by osteoblasts and mesenchymal stem cells and inhibiting bone resorption by osteoclasts. At the molecular level, bone cells sense and respond to magnetic stimulation, and through various mechanisms, such as displacement currents, Lorentz forces, and free radical pair effects, stimuli are transformed into biologically recognizable electrical signals that activate complex downstream signaling pathways, such as the P2 purinergic receptor signaling pathway, adenosine receptor signaling pathway, transforming growth factor-β receptor signaling pathway, mammalian target of rapamycin (mTOR) pathway, and Notch pathway. In addition, magnetic parameters, which are the factors affecting the osteogenic effects of magnetic fields, are discussed. However, the mechanisms of the osteogenic effects of magnetic fields are unclear, and further studies of these mechanisms could provide effective strategies for bone regeneration and periodontal tissue regeneration. In addition, considering the target of magnetic field therapies, combination with other drugs could lead to new strategies for the treatment of oral diseases.

OBJECTIVE To investigate the ameliorative effects and mechanism of Sanwei ganlu on hepatic fibrosis in rats. METHODS The rats were randomly divided into normal group， model group， silibinin group （positive control， 50 mg/kg）， and Sanwei ganlu low-dose， medium-dose， and high-dose groups （80， 250， 800 mg/kg）. Except for normal group， hepatic fibrosis rat models were established by intraperitoneal injection of CCl4 in the other groups of rats. Starting from the 6th week of modeling administration， they were given normal saline or corresponding drugs intragastrically at the same time. At the end of the ninth-week experiment， liver and spleen indexes of rats were calculated； the pathological structure and fibrosis changes of liver tissue were observed by HE， Masson and Sirus Red staining. The contents of alanine transaminase （ALT）， aspartate transaminase （AST）， procollagen type Ⅲ （PC Ⅲ）， collagen type Ⅳ （COL-Ⅳ）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α） and IL-1β in serum， and hyaluronic acid （HA） and laminin （LN） in liver tissue were all detected. RESULTS Compared with the model group， the liver injury and collagen fiber deposition of rats were improved to different extents in Sanwei ganlu groups and silibinin group； the contents of ALT， AST， PC Ⅲ， COL-Ⅳ， IL-6， TNF-α and IL-1β in serum as well as the contents of HA and LN in liver tissue significantly decreased （P＜0.05 or P＜0.01）. CONCLUSIONS Sanwei ganlu can alleviate the progression of hepatic fibrosis in rats， possibly by inhibiting the synthesis of collagen fiber， reducing transaminase content， down-regulating the levels of HA， LN， PC Ⅲ and COL-Ⅳ， and reducing the inflammatory response.

BACKGROUND:Currently,electrospun nanofibers,which are biomimetic materials of natural extracellular matrix and contain a three-dimensional network of interconnected pores,have been successfully used as scaffolds for various tissue regeneration,but are still faced with the challenge of extending the biomaterials into three-dimensional structures to reproduce the physiological,chemical as well as mechanical properties of the tissue microenvironment. OBJECTIVE:To summarize the process and principles of electrostatic spinning and to explore the applications of the resulting electrospun nanofibers in tissue regeneration of skin,blood vessels,nerves,bone,cartilage and tendons/ligaments. METHODS:With"electrospinning,electrospun nanofibers,electrospun nanofiber scaffolds,tissue regeneration"as the Chinese and English search terms,Google Academic Database,PubMed,and CNKI were searched,and finally 88 articles were included for review. RESULTS AND CONCLUSION:(1)The electrospun nanofibers are a natural fibrous extracellular matrix mimetic material and contain a three-dimensional network of interconnected pores that have been successfully used as scaffolds for a variety of tissue regeneration applications.(2)Several papers have described the great potential of electrospun nanofiber scaffolds applied to the regeneration of skin,blood vessels,nerves,bones,cartilage and tendons/ligaments,providing a solid theoretical basis for its final application in clinical disease treatment,or for its transformation into practical products to enter the market.(3)However,the current research results are mostly based on cell experimental research results in vitro,and whether it can be finally applied to human body still needs clinical verification.(4)At present,many kinds of electrospun products for various clinical needs have been commercialized in and outside China,indicating that the research field of electrospun nanofiber scaffolds for soft and hard tissue regeneration has great research value and application potential.

Objective A serum proteomic approach was used to explore the targets of action of Peitu Qingxin Granules(composed of Rhizoma Atractylodis Macrocephalae,Forsythiae Fructus,Imperatae Rhizoma,Pseudostellariae Radix,etc.)in the treatment of atopic dermatitis.Methods Five patients with atopic dermatitis were selected and treated with Peitu Qingxin Granules for 12 weeks,and five healthy volunteers were used as controls.The clinical core evaluation indexes of atopic dermatitis patients after treatment,including Eczema Area and Severity Index/Scoring Atopic Dermatitis(EASI/SCORAD),Pruritus Score,Patient-Oriented Eczema Measure(POEM),and quality of life index,were assessed.Serum samples were examined using data-independent acquisition-mass spectrometry(DIA-MS)technology,and serum differential proteins between atopic dermatitis patients and healthy people,as well as serum differential proteins in atopic dermatitis patients before and after treatment with Peitu Qingxin Granules were screened according to P＜0.05 and Fold Change>1.2.GO function enrichment analysis and KEGG pathway enrichment analysis were performed on the differential proteins.Results(1)Compared with the pre-treatment period,the clinical core evaluation indexes of patients with atopic dermatitis,including the EASI/SCORAD,Pruritus Score,POEM,and quality-of-life index,were significantly improved after treatment,and the differences were all statistically significant(P＜0.05,P＜0.01).(2)A total of 28 differential proteins were analyzed in the healthy control group and atopic dermatitis group,of which 12 proteins expressions were increased and 16 proteins were decreased,including ALAD(δ-aminolevulinic acid dehydrogenase),LTA4H(leukotriene A-4 hydrolase),CA1(carbonic anhydrase 1),F11(coagulation factor XI),and LCP1(lymphocyte cytoplasmic protein 1),etc..The main signaling pathways involved are PI3K-AKT signaling pathway,lipids and atherosclerosis,ECM-receptor interaction,platelet activation,NF-κB signaling pathway,and neutrophil extracellular trap formation.(3)A total of 12 different proteins were analyzed in atopic dermatitis patients before and after treatment with Peitu Qingxin Granules,of which 8 proteins were increased and 4 proteins were decreased,including ALAD,FGA(fibrinogen α-chain),IGHV3-64D,and IGHV3-38.They were mainly involved in signaling pathways such as lipids and atherosclerosis,complement pathway,Staphylococcus aureus infection,NF-κB signaling pathway,fluid shear stress and atherosclerosis.(4)The expressions of three protein targets including ALAD,FGA and IGHV3-64D,were significantly down-regulated in patients with atopic dermatitis and significantly up-regulated after treatment with Peitu Qingxin Granules.Conclusion The differentially expressed proteins ALAD,FGA and IGHV3-64D may be the action targets of Peitu Qingxin Granules in the treatment of atopic dermatitis,which lays the foundation for further experimental validation.

Objective:To understand the current status, hotspots and trends of hospice care education for nursing staff at home and abroad, so as to provide the reference for follow-up research.Methods:Literatures related to hospice care education for nursing staff were retrieved from China National Knowledge Infrastructure and Web of Science database from January 1, 2000 to October 8, 2023. EndNote21 was used for bibliometric analysis. CiteSpace6.2.R2 software was used to draw and interpret the knowledge map of keywords.Results:A total of 445 and 3 637 articles were included in China National Knowledge Infrastructure and Web of Science database. The number of publications was on the rise. A total of 11 clusters and 12 emerging keywords were obtained from China National Knowledge Infrastructure database. A total of 11 clusters and 25 emerging keywords were obtained from Web of Science database.Conclusions:The construction of standardized and homogeneous curriculum system and feedback evaluation system of hospice care education has been a research hotspot at home and abroad in recent years. For nurses with multi-level education, the use of multidisciplinary, multi-center, in-depth intervention research and evidence-based research to explore the hospice care education model in line with China′s national conditions is the development trend in the future.

Objective To discuss the nursing cooperation method in CT-guided pulmonary nodule localization using indocyanine green combined with methylene blue.Methods A total of 81 patients,who needed to receive pulmonary nodule localization before thoracoscopic resection,were enrolled in this study.The nursing cooperation measures,including the preparation and injection of indocyanine green combined with methylene blue,breathing mode coordination,position management,precise localization coordination,and psychological care,were analyzed.Results Successful nodule localization was accomplished in all patients.No statistically significant difference in the incidence of adverse events existed between the patients with different clinical characteristics(P＞0.05).The gender,age,lesion site,nodule size,nodule-pleura distance,posture during puncturing and needle path route were not the factors influencing the occurrence of adverse reactions in patients receiving CT-guided pulmonary nodule localization using indocyanine green combined with methylene blue.Conclusion In performing CT-guided pulmonary nodule localization using indocyanine green combined with methylene blue,the nursing cooperation method carries generality and stability,which is suitable for patients with different clinical characteristics.

Objective To explore the comparative study of constructing prediction models for muscle invasive of bladder cancer based on different machine learning algorithms combined with MRI radiomic.Methods A total of 187 bladder cancer patients who underwent MRI examination and were confirmed by pathology were retrospectively selected.Patients were randomly divided into a training set and a test set in a 7∶3 ratio.The patients were divided into muscle invasive bladder cancer(MIBC)group and non-muscle invasive bladder cancer(NMIBC)group according to the surgical pathology results.Tumor volume of interest(VOI)was outlined on the images of T2 WI,diffusion weighted imaging(DWI),and apparent diffusion coefficient(ADC),and the radiomic features were extracted by A.K software,and dimensionality reduction was performed using the maximum relevance minimum redundancy(mRMR)algorithm combined with least absolute shrinkage and selection operator(LASSO).Six machine learning algorithms,including K-nearest neighbor(KNN),decision tree(DT),support vector machine(SVM),logistic regression(LR),random forest(RF),and explainable boosting machine(EBM)were used to construct the radiomic model and calculate the corresponding area under the curve(AUC),accuracy,sensitivity,and specificity,respectively.Results Six machine learning algorithms,including KNN,DT,SVM,LR,RF,and EBM were used to construct the radiomic model,and the AUC values for predicting MIBC in the training set were 0.863,0.838,0.853,0.866,0.977,0.997,and in the test set were 0.748,0.833,0.860,0.868,0.870,0.900.Among them,the MRI radiomic model constructed based on EBM had the highest predictive efficacy for MIBC,with AUC values,accuracy,sensitivity and specificity of 0.997,0.977,0.957 and 0.981 in the training set,and 0.900,0.877,0.800,and 0.894 in the test set,respectively.Conclusion Multiple machine learning algorithms combined with MRI radiomic to construct models have good predictive efficacy for MIBC,and the model constructed based on EBM shows the highest predictive value.

Objective:To propose a differential privacy fuzzy C-means clustering algorithm based on Gaussian kernel function(DPFCM_GF)to optimize the data privacy and security issues brought about by data analysis and mining of medical data in the context of big data,and to provide a theoretical basis for data privacy protection.Methods:In order to solve the problem of reducing the accuracy of the algorithm by randomly initializing the fuzzy C-mean membership matrix,the maximum distance method was used to determine the initial center point,the Gaussian value of the clustering center point was used to calculate the privacy budget allocation ratio,and the Laplace noise was added to complete the differential privacy protection and the DPFCM_GF was constructed.The effectiveness of DPFCM_GF was verified by collecting and collating the heart disease,breast cancer,thyroid disease and diabetes public data sets from the machine learning repository of the University of California,Irvine,and the gastric cancer and lung cancer datasets of The Second People's Hospital Huai'an were collected to verify the usability of the DPFCM_GF,and the analysis results were compared with the fuzzy C-means clustering algorithm(FCM)and the differentially private fuzzy C-means clustering algorithm(DPFCM).Results:For public datasets of heart disease,breast cancer,thyroid disease and diabetes,the optimal clustering effects of DPFCM_GF and DPFCM were equivalent to those of FCM;compared with DPFCM,the iteration time of DPFCM_GF was faster,the convergence speed was significant,the difference was statistically significant(t=4.01,4.71,4.01,12.38,P<0.05).For lung cancer and gastric cancer dataset,with the increase of privacy budget ε,the correct recognition rate of DPFCM_GF gradually converged to 91.9%and 93.9%,and the AUC values converged to 0.79 and 0.81,respectively,and when the privacy function ε was 0.1,0.5,1 and 2(ε<3),the DPFCM_GF clustering effect was significantly better than that of DPFCM,and the clustering effect was better and the difference was statistically significant(x2=12.25,87.12,68.58,7.76,P<0.05;x2=4.74,43.51,42.47,4.89,P<0.05).Conclusion:The DPFCM_GF is an effective method for protecting the privacy of medical data,and can also perform data analysis and mining tasks,which has certain research significance and prospects.

Objective To analyze the research hotspots and trend of Raphani Semen from 2000 to 2023;To provide reference and direction for the follow-up research.Methods The literature related to Raphani Semen was retrieved from CNKI,VIP,Wanfang Data and CBM from January 1,2000 to July 20,2023.NoteExpress 3.7 software was used to organize the bibliothems,and CiteSpace 6.2.R2 software was used to visualize the authors,research institutions and keywords.Results After screening,a total of 1 023 articles were included,and the annual publication volume showed a trend of first fluctuating and then slowly decreasing.The source journals were 421,and the journal with the most articles was Shaanxi Journal of Traditional Chinese Medicine(75 articles).It involved 682 authors,the core authors included Zhou Honglei,Lü Wenhai,Zhu Liqiao,etc.Core research institutions included Shandong University of Traditional Chinese Medicine,Beijing University of Chinese Medicine,Affiliated Hospital of Shandong University of Traditional Chinese Medicine,etc.High-frequency keywords included"constipation","data mining","clinical observation"and so on.Conclusion The current research hotspots in Raphani Semen are disease treatment,chemical composition,compatibility of prescriptions,related prescriptions and so on.The key research trend in this field is to summarize the clinical medication law by data mining technology and the treatment of spleen and stomach diseases.