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.

Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.

Objective: To explore the potential category patterns of risk prevention and control behaviors of HIV infection among young students who have sex with men (MSM) and their impact on HIV infection and late detection, aiming to optimize intervention strategies. Methods: From September 2017 to December 2024, a total of 1 637 MSM young students in Tianjin were recruited through both online and offline channels. Latent class analysis was applied to classify 11 HIV risk prevention and control behaviors [condom use during the most recent anal sex in the past 6 months, consistent condom use, use of water based lubricants, abstinence from recreational drugs, regular on site professional testing, fixed sexual partners, partner testing, awareness of partner s HIV testing results, testing before sexual activity, nucleic acid testing, and use of pre exposure prophylaxis (PrEP) or post exposure prophylaxis (PEP)]. Multivariate Logistic regression analyzed associations between demographic characteristics/intervention services factors and latent classes. Differences in HIV infection and late detection across behavior patterns were compared. Results: HIV risk prevention and control behaviors among MSM students were classified into three latent classes:condom dependent group (38.42%), low prevention group (27.73%), and comprehensive prevention group (33.85%). Students who received condom promotion/testing services were more likely to belong to the comprehensive prevention group ( OR =5.58), while those who received peer education were less likely to the comprehensive prevention group ( OR =0.43) (both P <0.01). Among the MSM student population, the HIV infection rate was 4.83%, with 2.26% of cases detected late. The HIV infection rate (1.45%) and late detection proportion (0.82%) in the comprehensive prevention group were lower than those in the low prevention group (7.89% and 3.83%, respectively) ( χ 2=16.20, 7.31, both P <0.01). Conclusions HIV risk prevention and control behaviors among MSM young students exhibit significant heterogeneity. Comprehensive prevention strategies can effectively reduce HIV infection and late detection risks. It is necessary to optimize peer education content and improve the accessibility of diversified prevention measures such as PrEP/PEP to enhance HIV prevention and control.

Antibiotics are chemicals with bactericidal or bacteriostatic activity produced by microorganisms and artificially synthesized. Since the discovery of penicillin by Alexander Fleming in 1928, antibiotics have been widely used in clinical treatments as well as in the animal husbandry and aquaculture, leading to antibiotic residues in soil, water, food and other environments. At the same time, antibiotic resistance is increasingly serious, which necessitates the discovery of novel antibiotics. In recent years, with the development of synthetic biology, researchers have developed a variety of whole-cell biosensors that can respond to antibiotics. These whole-cell biosensors use microbial cells to convert antibiotic signals into readable signals, which can not only perform dynamic detection of antibiotics simply, quickly, sensitively and accurately but also effectively discover novel antibiotics. This review comprehensively summarizes the reported whole-cell biosensors for antibiotics, classifies them into two types (specific and general), and elaborates on the design principles and applications of the two types of antibiotic biosensors. This review will provide reference for the construction and application of other whole-cell biosensors for antibiotics.
Biosensing Techniques/methods* ; Anti-Bacterial Agents/pharmacology*

Objective To systematically review the safety and efficacy of irreversible electroporation(IRE)combined with immunotherapy in patients with unresectable pancreatic cancer.Methods This study was conducted according to the PRISMA guideline,with a PROSPERO registration unmber of CRD42024531984.Datebases including PubMed,Embase the Cochrane Library,Web of Science,CNKI,Wanfang Data,and VIP were searched for related articles on IRE combined with immunotherapy for unresectable pancreatic cancer published up to February 2024.The articles were screened and related data were extracted according to the established inclusion and exclusion criteria,and the quality of the articles was assessed.Review Manager 5.3 and Stata 17.0 software were used to perform the meta-analysis.Results Six studies were finally included,with three prospective studies,two retrospective studies,and one randomized controlled trial.There were 376 patients with unresectable pancreatic cancer in total,among whom there were 222 patients in the IRE group and 154 patients in the IRE+immunotherapy group.The meta-analysis showed that compared with IRE alone,IRE combined with immunotherapy significantly prolonged progression-free survival(hazard ratio[HR]=0.82,95%confidence interval[CI]:0.72-0.92,P=0.001)and overall survival(HR=0.86,95%CI:0.80-0.93,P=0.000 1),increased T lymphocyte count in the patients(mean difference=217.93,95%CI:192.87-242.99,P<0.000 01),and improved the immune function of patients.However,there were no significant differences between the two groups in reducing the incidence rate of adverse events(odds ratio[OR]=1.43,95%CI:0.76-2.72,P=0.27)and improving the objective remission rate of patients(OR=1.49,95%CI:0.87-2.56,P=0.15).Conclusion IRE combined with immunotherapy is safe and effective in patients with unresectable pancreatic cancer and can significantly improve overall survival and progression-free survival and enhance immune function,with little effect on objective remission rate and the incidence rate of adverse events.

Objective To construct a traditional Chinese medicine(TCM)knowledge base using knowl-edge graph based on deep learning methods,and to explore the application of joint models in intelligent question answering systems for TCM. Methods Textbooks Prescriptions of Chinese Materia Medica and Chinese Materia Medicawere applied to construct a comprehensive knowledge graph serving as the founda-tion for the intelligent question answering system.In the study,a BERT+Slot-Gated(BSG)deep learning model was applied for the identification of TCM entities and question inten-tions presented by users in their questions.Answers retrieved from the knowledge graph based on the identified entities and intentions were then returned to the user.The Flask framework and BSG model were utilized to develop the intelligent question answering sys-tem of TCM. Results A TCM knowledge map encompassing 3 149 entities and 6 891 relational triples based on the prescriptions and Chinese materia medica was drawn.In the question answer-ing test assisted by a question corpus,the F1 value for recognizing entities when answering 20 types of TCM questions was 0.996 9,and the accuracy rate for identifying intentions was 99.75%.This indicates that the system is both feasible and practical.Users can interact with the system through the WeChat Official Account platform. Conclusion The BSG model proposed in this paper achieved good results in experiments by increasing the vector dimension,indicating the effectiveness of the joint model method and providing new research ideas for the implementation of intelligent question answering sys-tems in TCM.

[Objective]People infected with Hepatitis B are often divided into hepatitis B carriers and hepatitis B patients based on whether ALT is normal or not,and ALT ≥ 2UNL is one of the indications for clinical antiviral treatment,but no sufficient evidence to justify this. In order to explore the theoretical basis,the paper investigated the effects of hepatitis B virus(HBV) on hepatic stellate cells(HSCs).[Methods]A total of 132 chronic hepatitis B patients with different viral loads and ALT levels were randomly selected as the study subjects. Of these patients,those with ALT≥2UNL were treated with antiviral therapy and followed up for 24 weeks. The effects of HBV on HSCs before and after the treatment were compared and analyzed. HSCs proliferation was detected by MTT method,HSCs cell cycle by flow cytometry,and expression of TGF-β1,Smad3,Smad7,α-SMA,collagen Ⅰ,collgen Ⅲ mRNAs and corresponding proteins by RT-PCR and Western blotting,respectively.[Results]At the normal ALT level,HBV with different viral loads had no significant effect on the proliferation,cell cycle and cell secretion of the HSCs. At the abnormal ALT level,especially when ALT ≥ 2UNL,with the increase of virus loads,HSCs proliferation accelerated;cells in the G0/G1 phase decreased significantly and cells in the S and G2/M phases increased significantly;the expression of TGF-β1,Smad3,α-SMA,collagen Ⅰ,collgen Ⅲ mRNAs and corresponding proteins increased significantly,but Smad7 mRNA and protein expression decreased significantly,the differences were statistically significant. HBV showed a significantly lower effect on HSCs after the antiviral therapy than before.[Conclusions]This paper reveals the differential effects of HBV on HSCs at different ALT levels and presents a comparative analysis of the effects before and after the antiviral therapy,which provides a theroretical basis for identifying the ALT level as an indication for HBV antiviral therapy.

Objective:To construct a double-closed-loop management model for medical equipment and explore its application value in hemodialysis machine maintenance and fault management.Methods:Based on the closed-loop management of clinical operation of medical equipment and the closed-loop management of technical support,a dual closed-loop management model of equipment was constructed.65 hemodialysis machines in clinical use in Huashan Hospital Fudan University from January 2021 to January 2023 were selected and divided into a conventional mode and double-closed-loop mode according to different management modes.The conventional mode adopted conventional equipment management methods,and the double-closed-loop mode adopted a double-closed-loop management model.The cost-effectiveness,social benefit,failure occurrence,effective management quality matters,disinfection status,average patient waiting time and satisfaction were compared between the two groups.Results:The hemodialysis machine operating profit growth rate,diagnosis and treatment cost growth rate,service life index,scientific research service growth rate,diagnosis and treatment service growth rate,startup rate and operation rate of the double-closed-loop mode were(3.95±1.04)%,(3.80±0.58)%,(1.58±0.31)%,(4.30±0.95)%,(7.91±1.58)%,(96.58±2.76)%and(89.90±5.58)%,which were higher than those of the Conventional mode,the difference was statistically significant(t=5.418,10.070,7.490,17.570,11.820,8.849,6.840,P<0.05).The technical support expenses growth rate,bacterial colony count,bacterial endotoxin content and average patient waiting time of patients in the Double-closed-loop mode were(2.60±0.33)%,(0.370±0.008)cfu/ml,(0.0063±0.0011)EU/ml and(0.76±0.13)h,which were less than those of the conventional mode,the difference was statistically significant(t=23.040,82.985,14.482,19.530,P<0.05).The incidence rate of hemodialysis machine failure in the double-closed-loop mode was 9.23%(6/65),which was lower than that in the conventional mode,the difference was statistically significant(x2=6.392,P<0.05);among the 120 items of management data collected,quality control testing,maintenance and repair,clinical operation,information data,and scrap processing effectiveness rates were 95.83%(115/120),89.17%(107/120),96.67%(116/120),95.00%(114/120),and 97.50%(117/120),respectively,which were higher than those of the conventional mode,the difference was statistically significant(x2=15.238,16.596,9.808,15.585,16.119,P<0.05).Conclusion:The application of closed-loop management model to hemodialysis machine maintenance and fault management can effectively improve equipment cost-effectiveness,social benefits,management quality and patient satisfaction,and reduce the incidence of faults.

Objective:To investigate the overall recurrence rate and the pattern of treatment failure in thoracic esophageal cancer (TEC) patients after minimally invasive esophagectomy (MIE), and to evaluate the significance of adjuvant therapy after MIE.Methods:Clinical data of TEC patients who underwent MIE with or without neoadjuvant chemotherapy in the Fourth Hospital of Hebei Medical University between 2016 and 2018 were retrospectively analyzed. The pathology-based lymph node metastasis (LNM) rate, overall recurrence rate, and pattern of treatment failure following MIE were analyzed by SPSS 26.0 statistical software. Cox regression model was used to identify the high-risk factors for recurrent disease. Propensity score matching was performed to compare the survival of patients between the postoperative radiotherapy group and non-radiotherapy group.Results:A total of 443 eligible patients were enrolled in this study, and the pathology-based LNM rate in all groups was 42.0%. The overall recurrence rate was 34.8%. Regional lymphatic metastasis was the most frequent pattern of recurrence (24.2%), followed by distant metastasis (19.4%). Multivariate Cox regression analysis identified pT 3-4 stage and pN + stage as the independent risk factors for recurrence. At the same time, the total number of lymph nodes dissected ≥12 and the number of lymph nodes dissected ≥7 in the neck clavicle and upper mediastinum could reduce the risk of tumor recurrence. The 1-, 3-, and 5-year disease-free survival (DFS) rates in the postoperative radiotherapy group and non-radiotherapy group were 83.5%, 66.8%, 60.7%, and 79.2%, 61.6%, 57.2%, respectively ( χ2=0.13, P=0.715). The 1-, 3-, and 5-year overall survival (OS) rates in two groups were 92.0%, 72.0%, 67.5% and 84.0%, 68.0%, 55.4% , respectively ( χ2=0.43, P=0.513). Conclusions:Regional lymphatic and distant metastases are the main patterns of recurrence for TEC patients after MIE with or without neoadjuvant chemotherapy. pT 3-4 stage, pN + stage, insufficient total number of lymph node dissection and insufficient number of lymph nodes in neck supraclavicular and upper mediastinal dissection are high-risk factors for postoperative recurrence. The survival rate in the postoperative radiotherapy group tends to be higher than that in the non-radiotherapy group. Adjuvant therapy, including postoperative radiotherapy, may remain necessary.

Objective:To assess the long-term outcome of sequential radical surgery after immune combined with targeted therapy for patients with initially unresectable hepatocellular carcinoma (HCC).Methods:Clinical data of 100 patients with initially unresectable HCC undergoing sequential radical surgery after immune combined with targeted therapy at the Faculty of Hepato-Pancreato-Biliary Surgery of Chinese PLA General Hospital from December 2018 to August 2023 were prospectively collected, including 87 males and 13 females, with a median age of 55 (24-73) years. The pre-treatment tumor staging was determined using the China liver cancer staging (CNLC). The efficacy of immune combined with targeted therapy was accessed using the modified response evaluation criteria in solid tumor (mRECIST). The cycles of immune combined with targeted therapy were analyzed. The tumor residual of resected tissue was analyzed through a standard pathological protocol. The prognosis was analyzed using the Kaplan-Meier method.Results:Upon initial diagnosis, there were 46 cases (46.0%) staged CNLC-Ⅲa and 40 (40.0%) staged CNLC-Ⅲb. There were also 14 cases (14.0%) staged CNLC-Ⅰb, Ⅱa, and Ⅱb who underwent immune combined with targeted therapy due to rupture of tumor or insufficient liver remnant. All patients received a median of 5 (3-28) cycles of immune combined with targeted therapy and underwent radical surgery after successful conversion. According to mRECIST, 14 (14.0%) were determined as complete remission, 63 (63.0%) as partial remission, 18 (18.0%) as stable disease, and 5 (5.0%) as disease progression. Of 24 (24.0%) were defined as pathologically complete remission by postoperative pathology. Furthermore, pathological tumor residue was less than 10% in 61 (61.0%) cases and less than 50% in 82 (82.0%) cases. The 1, 3, and 5 year-overall survival rates of patients were 98.0%, 83.1%, and 74.5%, respectively. The 1, 2 and 3 year-recurrence-free survival rates were 67.5%, 54.8%, and 49.6%, respectively.Conclusion:Sequential radical surgery after immune combined with targeted therapy benefits the long-term survival of patients with initially unresectable HCC.