Objective To survey the free influenza vaccination status and willingness among the elderly in Deqing County,Zhejiang Province,and analyze the influencing factors.Methods Based on population data and the electronic medical system of Deqing County,the influenza vaccine coverage from 2018 to 2022 after the implementation of the free influenza vaccination policy was calculated.A proportional stratified random sampling method was used to select elderly individuals aged 60 and above from six streets/towns in Deqing County.A questionnaire survey was conducted to assess influenza vaccination behaviors from 2020 to 2022 and vaccination willingness for the 2023 influenza season.The chi-square test and logistic regression were used to analyze potential factors associated with vaccination behavior and subsequent willingness among the elderly.Results An average of influenza vaccines for the elderly per year were 56.2 thousand,with influenza vaccination coverage rate of 46.16%in average over the five years.Among 729 subjects,the vaccination rate increased from 69.3%in 2020 to 75.3%in 2022,and 81.9%of them were willing to receive influenza vaccines in the next flu season.Logistic regression analysis revealed that individuals with agricultural household registration(OR=3.05,95%CI:1.82-8.99),lower education levels(OR=2.82,95%CI:1.15-6.93),awareness of the free vaccine policy(OR=4.65,95%CI:1.82-11.91),and belief in vaccine efficacy(OR=6.61,95%CI:3.20-13.61)had higher vaccination rates.Factors associated with a more positive vaccination willingness included an annual household income of<150 thousand CNY(OR=1.65,95%CI:1.04-2.60),awareness of the free vaccine policy(OR=3.07,95%CI:1.84-5.12),perceived vaccine efficacy(OR=4.39,95%CI:2.77-6.96),and perceived vaccine safety(OR=1.57,95%CI:1.01-2.43).The main reasons for non-vaccination were concerned about the side effects of the vaccine(37.9%),thoughts that they were in good health and did not need to be vaccinated(30.3%),and influenza vaccines were ineffective(21.2%).The main reasons for vaccination were to protect themselves(89.1%),vaccination was free(65.5%)and to protect their families(60.6%).Conclusion The elderly in Deqing County had a relatively high influenza vaccination rate and follow-up vaccination willingness rate,but there still existed a gap to reach at target rate recommended by WHO.The local government should strengthen health education related to influenza vaccine knowledge,and publicize free vaccination policy to improve the vaccination rate and willingness in next season.

Objective:Observation of the therapeutic effect of Yugu Ju detergent combined with fusidic acid cream on the repair of wounds infected with Staphylococcus aureus,as well as its impact on serum inflammatory markers TNF-α,IL-6,IL-1β,oxidative stress markers MDA,ROS,SOD and Nrf2 levels.Methods:96 patients with skin defects and SA U infection caused by trauma admitted to the hospital from June 2021 to December 2023 were randomly divided into a control group and an observation group.Both groups were treated with debridement,while the control group was treated with external application of fusidic acid cream.The treatment group received external washing with Yugu Ju detergent in addition to the control group.One course of treatment lasted for 7 days,with three consecutive courses of treatment.Observe the wound healing rate,bacterial clearance rate,and changes in TNF-α,IL-6,IL-1β,SOD,MDA,ROS,and Nrf2 before and after treatment to evaluate clinical efficacy and safety.Results:The total clinical effective rate of the observation group after treatment was 93.75％(45/48),while that of the control group was 75％(36/48).The observation group was significantly better than the control group(P＜0.05);The wound healing rate and bacterial clearance rate of the observation group at each time point after treatment were higher than those of the control group(P＜0.05);After treatment,the Nrf2 and SOD values in the observation group were higher than those in the control group,while the TNF-α,IL-6,IL-1β,MDA,and ROS values were lower than those in the control group(P＜0.05).No adverse reactions occurred during the treatment of both groups.Conclusion:The combination of Yugu Ju detergent and Fusidic acid cream can inhibit SA U and promote the healing of infectious wounds,which may be related to the activation of Nrf2 expression to inhibit oxidative stress and inflammatory response.It is safe and effective,and worthy of promotion and application.

Aim To investigate the role and mecha-nism of allopurinol(ALLO)in restoring the abnormal metabolism of kynurenine(Kyn)mediated by trypto-phan-2,3-dioxygenase 2(TDO2)to ameliorate ulcera-tive colitis(UC)in mice,and to provide experimental basis for the treatment of UC by ALLO.Methods A dextran sodium sulfate(DSS)-induced mouse UC mod-el was established,and the mice were randomly divided into the control group,the model group,the ALLO low,medium and high-dose groups(10,20,and 40 mg·kg-1),and the positive-significant salazosulfapyridine(SASP)(200 mg·kg-1)group.The body mass and disease activity index(DAI)scores of mice were re-corded;HE staining was performed to observe the de-gree of pathological damage in colon tissue;Western blot was performed to detect TDO2 protein expression in colon tissue;flow cytometry was performed to detect changes in the proportion of macrophages in spleen and mesenteric lymph nodes;ELISA was employed to de-tect the levels of TNF-α,IL-1β and IL-6 pro-inflamma-tory cytokines in the supernatant of colon tissue homog-enate;high performance liquid chromatography(HPLC)was used to detect the levels of tryptophan(Trp)and Kyn in the supernatant of colon tissue ho-mogenate.Results Compared with the model group,ALLO administration significantly ameliorated colonic histopathological injury in UC mice,decreased the pro-portion of macrophages in spleen and mesenteric lymph nodes,down-regulated the levels of TNF-α,IL-1 β,and IL-6 pro-inflammatory factors in serum of homogenate of colonic tissues,and inhibited the activity(Kyn/Trp ratio)and expression of TDO2 in colonic tissues.Con-clusion ALLO improves disease manifestations in mice with ulcerative colitis,which may be related to its restoration of abnormal Kyn metabolism.

This article retrospectively analyzed the clinical data of three recipients who developed acute antibody mediated rejection (AMR) after receiving different courses of immunotherapy prior to liver transplantation for hepatocellular carcinoma. It focused on their diagnostic and therapeutic processes, including the immunosuppressive induction regimen [rabbit anti-human thymocyte globulin (rATG) + methylprednisolone] , postoperative liver function changes, diagnostic methods for acute AMR (such as allograft liver biopsy, panel reactive antibody testing, and donor-specific antibody testing) , and the combination treatment strategies used (rATG, rituximab, intravenous immunoglobulin, and plasma exchange). The aim of this article is to summarize the clinical characteristics, diagnosis, and treatment experiences of acute AMR occurring after liver transplantation in patients with liver cancer who had received immunotherapy, explore the potential risks involved, and provide a reference for clinicians in managing such cases.

Severe fever with thrombocytopenia syndrome(SFTS)is an acute infectious disease caused by the Dabie Banda-virus(DBV),with a high mortality rate.The annually reported number of cases is steadily increasing.DBV is transmitted pri-marily by tick bites,and its epidemic range is gradually expanding with the spread of its vector,thus posing a serious threat to human health.No licensed preventive vaccine is currently available.The World Health Organization has listed SFTS as an infec-tious disease requiring further investigation of vaccines and treatments with high priority.This article reviews current research progress in SFTS vaccines,to provide a reference for the development of DBV vaccines.

Objective:To establish daily quality assurance workflow based on self-developed phantom to ensure MR-linac performance such as beam accuracy, MR image guidance accuracy, and the clinical treatment workflow to enhance the efficiency of daily quality assurance (QA).Methods:The self-developed phantom was made by 3D printer and used in conjunction with Daily QA-MR detector array. After CT-sim scanning, a treatment plan was designed and transmitted to the accelerator, tests were performed such as image guidance accuracy, beam output and beam quality, the differences in daily QA results between the self-developed phantom and standard phantom recommended by the manufacturer were analyzed by using paired t-test. Results:A total of 24 sets results were collected, the image guide accuracy in the X, Y and Z directions between standard and self-made phantom were (0.1±0.4), (-0.14±0.16), (0.07±0.05) mm and (0±0.02), (-0.02±0.02), (0.02±0.01) mm, respectively, and the differences were statistically significant ( P<0.001, =0.001 and <0.001). Daily QA-MR detector array beam measurement results including output, symmetry, beam quality and field size were -0.11%±0.20%, -0.10%±0.19%, -0.01%±0.08%, (0.4±0.1) mm and (0.2±0.1) mm, respectively. The new process saved 25% (approximately 9 min) of the time compared to the standard process. Conclusions:The new daily QA process for MR-linac is performed based on self-developed phantom and Daily QA-MR detector array. The accuracy and sensitivity meet the requirements and can improve the QA efficiency.

With the completion of the "Human Genome Project" and the smooth progress of the "Herbal Genome Project", the research wave of RNAomics is gradually advancing, opening the research gateway for the modernization of traditional Chinese medicine (TCM) and initiating the post-genome era of medicinal plant RNA research. Therefore, this article proposes for the first time the concept of HerbRNomes, which involves constructing databases of medicinal plant, medicinal fungus, and medicinal animal RNA at different stages, from different origins, and in different organs. This research aims to explore the role of HerbRNA in self-genetic information transmission, functional regulation, as well as cross-species regulation functional mechanisms and key technologies. It also investigates application scenarios, providing a theoretical basis and research ideas for the resistance of TCM or medicinal plants to adversity and stress, molecular assistant breeding, and the development of small nucleic acid drugs. This article reviews recent research progress in elucidating the molecular mechanisms of the transmission and expression of genetic information, self-regulation and cross-species regulation of herbs at the RNA level, along with key technologies. It proposes a development strategy for small nucleic acid drugs based on HerbRNomes, providing theoretical support and guidance for the modernization of TCM based on HerbRNomes research.

ObjectiveTo observe the clinical effectiveness and safety of Xiaozhong Zhitong Mixture （消肿止痛合剂） combined with antibiotic bone cement in the treatment of diabetic foot ulcer （DFU） with damp-heat obstructing syndrome. MethodsA total of 72 DFU patients with damp-heat obstructing syndrome were randomly assigned to treatment group （36 cases） and the control group （36 cases）. Both groups received standard treatment and topical antibiotic bone cement for ulcer wounds， while the treatment group received oral Xiaozhong Zhitong Mixture （50 ml per time， three times daily） in additionally. Both groups underwent daily wound dressing changes for 21 consecutive days. Ulcer healing rate， serum levels of tumor necrosis factor-alpha （TNF-α）， interleukin-1 beta （IL-1β）， malondialdehyde （MDA）， superoxide dismutase （SOD）， C-reactive protein （CRP）， and white blood cell （WBC） count were observed before and after treatment， and visual analog scale （VAS） scores for wound pain， traditional Chinese medicine （TCM） syndrome scores， and the DFU Healing Scale （DMIST scale） were also compared. Liver and kidney function were evaluated before and after treatment， and adverse events such as allergic reactions， worsening ulcer pain were recorded. ResultsTotally 35 patients in the treatment group and 33 in the control group were included in the final analysis. The ulcer healing rate in the treatment group was （87.93±9.34）%， significantly higher than （81.82±12.02）% in the control group （P = 0.035）. Compared to pre-treatment levels， both groups showed significant reductions in serum CRP， WBC， MDA， IL-1β， and TNF-α levels， with an increase in SOD level （P＜0.05）. TCM syndrome scores， VAS， and DMIST scores also significantly decreased in both groups （P＜0.05）， with greater improvements in the treatment group （P＜0.05）. No significant adverse reactions were observed in either group during treatment. ConclusionXiaozhong Zhitong Mixture combined with antibiotic bone cement has significant advantages in promoting DFU healing， reducing inflammatory response， and alleviating oxidative stress in DFU patients with damp-heat obstructing syndrome， with good safety for DFU patients with damp-heat obstructing syndrome.

AIM: To investigate the correlation of serum Silent mating-type information regulation 2 homolog 1(SIRT1)and Vasostatin-2 content with pathological changes in diabetic retinopathy(DR)patients.METHODS: A total of 104 DR patients(104 eyes)admitted to our hospital from April 2021 to April 2024 were included as the DR group. According to different disease stages, they were assigned into a non-proliferative DR(NPDR)group of 44 cases(44 eyes)and a proliferative DR(PDR)group of 60 cases(60 eyes). Meantime, 104 patients(104 eyes)with simple diabetes were treated as non-DR group. ELISA was applied to detect the levels of SIRT1 and Vasostatin-2 in serum. The diagnostic value of serum SIRT1 and Vasostatin 2 in DR was analyzed by ROC curve. Multivariate Logistic regression was applied to analyze the factors that affected the occurrence of DR. Pearson correlation was applied to analyze the relationship between the levels of SIRT1 and Vasostatin-2 in the serum of DR patients and angiogenesis indicators(VEGF, Ang-2).RESULTS: Compared with the non-DR group, the levels of SIRT1 and Vasostatin-2 in the serum of the DR group were significantly decreased(P<0.05). Compared with the NPDR group, the levels of SIRT1 and Vasostatin-2 in the serum of the PDR group were significantly decreased(P<0.05). Compared with the non-DR group, the levels of VEGF and Ang-2 in the serum of the DR group were obviously higher(P<0.05). Compared with the single detection of serum SIRT1 and Vasostatin-2 levels, combined detection significantly increased the AUC in the diagnosis of DR(Z=4.180, 5.128, all P<0.05). Multivariate Logistic regression analysis showed that HOMA-IR(OR=3.455), fasting blood glucose(OR=1.467), SIRT1(OR=0.836), Vasostatin-2(OR=0.767), VEGF(OR=2.564), and Ang-2(OR=1.834)levels were the influencing factors on the occurrence of DR(all P<0.05). Pearson correlation analysis showed that the levels of SIRT1 and Vasostatin-2 in the serum of DR patients were negatively correlated with VEGF and Ang-2(rSIRT1 vs VEGF=-0.395, rSIRT1 vs Ang-2=-0.474, rVasostatin-2 vs VEGF=-0.323, rVasostatin-2 vs Ang-2=-0.583, all P<0.001).CONCLUSION: The abnormal decrease of serum SIRT1 and Vasostatin 2 levels in DR patients is closely related to the stage of DR lesions and angiogenesis.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.