Objective To analyze the clinical manifestations of patients over 60 years old with acute respiratory infection in Pudong New Area of Shanghai and the risk factors of positive detection of novel coronavirus, and to provide reference for improving prevention and control strategies and measures. Methods General conditions, clinical features, basic complications and respiratory samples of inpatients over 60 years old with acute respiratory infection from eight hospitals in Pudong New Area of Shanghai from January to October 2023 were collected, and SARS-CoV-2 detection was carried out. Chi-square test and binary logistics regression were used for data analysis. Results A total of 604 patients over 60 years old were collected, including 356 (58.945) males with a median age of 77 (IQR:70-85) years. Of the 604 cases, 264 were detected positive for SARS-CoV-2, with a positive detection rate of 43.71%. The results of univariate analysis showed that there were significant differences in the detection rates of SARS-CoV-2 among different age groups (χ²=10.60, P=0.01) and different months (χ²=87.15, P=0.00), and among those with cough (χ²=5.28, P=0.02), sputum (χ²=4.19, P=0.04), sore throat (χ²=3.93, P=0.04), and hypertension (χ²=7.63, P=0.01). In the binary logistics regression analysis, month (P=0.00, OR=2.93, 95% CI=1.49-5.78) and age (P=0.00, OR=2.60, 95% CI=1.55-4.37) were independent risk factors for positive detection of SARS-CoV-2. Conclusion The majority of hospitalized cases of acute respiratory infection over 60 years old are male, and the risk factors for positive detection of novel coronavirus are age 80~89 years old and time between May and June.

Objective: To investigate factors influencing perioperative blood transfusion in patients with scarred uterus during pregnancy undergoing cesarean section, construct and validate a transfusion risk prediction model, and provide evidence for preoperative assessment and blood management. Methods: Clinical data of 405 patients undergoing cesarean section for scarred uterus during pregnancy at the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to December 2024 were retrospectively collected. The dataset was randomly divided into a training set (n=284) and a validation set (n=121) at a 7∶3 ratio. Within the training set, Firth-penalized logistic regression was employed for multivariate analysis to identify independent factors influencing perioperative blood transfusion and construct a predictive model. Model performance was evaluated in the validation set. Results: Multivariate Firth regression analysis showed that severe placenta previa (OR=75.566, 95%CI: 8.603-9979.174) and placenta accreta (OR=4.591, 95%CI: 1.120-19.416) were independent risk factors for perioperative blood transfusion, while preoperative red blood cell count (OR=0.189, 95%CI: 0.083-0.405) and fibrinogen levels (OR=0.588, 95%CI: 0.395-0.855) were protective factors. The predictive model constructed based on these four variables demonstrated good discriminatory performance, with areas under the receiver operating characteristic curves of 0.803 (95%CI: 0.740-0.867) and 0.753 (95%CI: 0.644-0.862) in the training and validation sets, respectively. Conclusion: For patients with scarred uterus during pregnancy undergoing cesarean section, severe placenta previa and placenta accreta significantly increase the risk of transfusion, while higher preoperative red blood cell count and fibrinogen levels exert a protective effect. The predictive model established in this study facilitates the identification of patients requiring transfusion, thereby enabling preoperative blood preparation and optimized blood management.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

Objective To assess the effectiveness of the Gasdermin D C-terminal fragment(GSDMD-CT)as a novel plasma biomarker for the clinical diagnosis of sepsis.Methods Between July 2021 and November 2024,245 patients from Tangshan Gongren Hospital were enrolled in this study.In accordance with the diagnostic criteria for sepsis and the systemic inflammatory response syndrome(SIRS),patient samples were classified into the sepsis group and the SIRS group.Meanwhile,healthy individuals were selected as the healthy control(HC)group.Sepsis patients were further categorized into the Gram-positive bacterial group,the Gram-negative bacterial group,and the fungal group based on the type of pathogen infection.The levels of GSDMD-CT,C-reactive protein(CRP),and procalcitonin(PCT)were measured in all subjects.Nonparametric tests were employed to compare the differences in various indices among different groups.The diagnostic value of GSDMD-CT in sepsis was evalu-ated by constructing the receiver operating characteristic(ROC)curve.Spearman's correlation analysis was used to examine the relationships among GSDMD-CT,CRP,and PCT.Results The plasma GSDMD-CT levels in the sepsis group 23.02(16.71,33.01)pg/mL and in the SIRS group 16.52(11.26,22.22)pg/mL were significantly higher than those in the healthy control group 7.02(4.42,11.43)pg/mL(U=-10.175,-7.890,P<0.001).Moreover,the plasma GSDMD-CT levels in the sepsis group were significantly higher than those in the SIRS group(U=-2.941,P<0.05).In the Gram-positive bacterial group,the Gram-negative bacterial group,and the fungal group,the GSDMD-CT levels were 23.01(17.16,27.51)pg/mL,23.41(16.78,35.50)pg/mL,and 16.29(14.53,56.27)pg/mL,respectively.When compared with the healthy control group,the GSDMD-CT levels in these three groups were all significantly higher(P<0.05).However,there were no significant differences in GSDMD-CT levels among these three groups(P>0.05).The area under the curve(AUC)of plasma GSDMD-CT for diagnosing sepsis was 0.881(95%confidence interval:0.833～0.929),with a Youden index(YI)of 0.695,a sensitivity of 85.0%,and a specificity of 84.5%.Spearman correlation analysis indicated a weak correlation between GSDMD-CT and C-reactive protein(CRP)(r=0.32,P<0.001)and a positive correlation between GSDMD-CT and procalci-tonin(PCT)(r=0.65,P<0.001).Conclusion GSDMD-CT exhibits significant clinical value in the diagnosis of sepsis and holds great potential as a biomarker in the diagnostic process of sepsis.

Aim To explore the role of zinc transporter 6(SLC30A6)on the proliferation,migration and inva-sion capabilities of hepatocellular carcinoma(HCC)cell line Huh7,and to identify potential traditional Chi-nese medicine(TCM)small-molecule inhibitors targe-ting SLC30A6 from the China Natural Products Data-base(CNPD)using virtual screening techniques.Methods The expression levels,clinical characteris-ticsand prognostic value of SLC30A6 in HCC were pre-dicted based on TCGA and ICGC datasets.SLC30A6 was knocked down in Huh7 cells using lentiviral trans-fection.The effects on cell proliferation,migration,and invasion were assessed using CCK-8,EdU,wound heal-ing,and Transwell assays.The regulation of HCC cancer stem cell markers(CD44,CD133,CD90)by SLC30A6 was also examined.Based on the CNPD,a docking-based virtual screening strategy was employed,including high-throughput virtual screening,standard precision virtual screening,and high-precision virtual screening,to identify the potential drug candidates with high specificity and favorable drug-likeness.Results SLC30A6 expression was upregulated in HCC tissues.Higher SLC30A6 levels were associated with advanced pathological stages,histological grades,alpha-fetopro-tein(AFP)levels,vascular invasion,and poor progno-sis in HCC patients.SLC30A6 knockdown significantly inhibited the proliferation,migration,and invasion of Huh7 cells and reduced the levels of HCC cancer stem cell markers.Virtual screening identified six potential TCM small-molecule inhibitors.Conclusions SLC30A6 can regulate the proliferation,migrationand invasion of HCC cells.SLC30A6 may serve as a poten-tial prognostic biomarker and therapeutic target for HCC.

The cultivation of innovation ability is not only the essential requirement of graduate education,but also the strate-gic demand of the development of the communist party and our country,and is of great significance to the realization of the Chinese dream of the great rejuvenation of the Chinese nation.Curriculum ideology and politics should run through the whole process of post-graduate innovation ability training.However,the curriculum ideology and politics and postgraduate innovation ability training lack deep integration.It's important for postgraduates'growth and scientific research innovation that the curriculum ideology and politics covers the whole process of scientific research activities.Therefore,this paper focuses on the design and specific implementation schemes of the curriculum ideology and politics on the postgraduate innovative ability training at the respiratory disease research team in the department of medical immunology.It makes a basis for optimizing postgraduate curriculum ideology and politics teaching in the future,which also provides ideas for cultivating innovative talents with both morality and ability in medical specialty.

Objective:To evaluate physicochemical and immune efficacy of filamentous hemagglutinin(FHA)and pertactin(PRN)before and after detoxification treatment in acellular pertussis vaccine.Methods:Thermal stability of FHA and PRN was analyzed by differential scanning fluorescence(DSF)to evaluate melting temperature(Tm)changes of antigen before and after detoxi-fication treatment.Immune efficacy of vaccine containing single FHA or PRN component and acellular pertussis vaccine with pertussis toxin(PT)was assessed by modified intracerebral challenge assay(MICA)and pertussis serological potency test(PSPT).ELISpot and flow cytometry were utilized to evaluate cytokines secretion and immune cells level in spleens obtained from immunized mice.Results:Under detoxification treatment Tm of FHA changed from a single value 57℃to both 58℃and 81℃,but Tm of PRN were both 84℃.Detoxification treatment had no obvious effects on immune efficacy and IL-4/IFN-γ secretion in spleens from mice.In addi-tion,there was no significant difference in splenic immune cells such as CD4+T,CD8+T and CD44+CD62L+memory cells.Conclu-sion:Detoxification treatment of FHA and PRN have no effect on immune efficacy of acellular pertussis vaccine,except for impact on Tm of FHA.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To analyze the effects of irbesartan(IBN)regulating the stromal cell-derived factor-1(SDF-1)/CXC chemokine receptor 4(CXCR4)pathway on proliferation,migration,and radiosensitivity of lung cancer cells.Methods Human lung cancer A549 cells were randomly divided into the A549 group(without treatment),radiation group(4 Gy X-ray radiation),IBN group(1 μmol/L IBN treatment for 24 hours),IBN+radiation group(1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation),pcDNA3.1 group(transfected with pcDNA3.1+1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation),and SDF-1 group(transfected with pcDNA3.1 SDF-1+1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation).The cell viability,colony formation,apoptosis,and migration of each group were observed.The leakage rate of lactate dehydrogenase(LDH)and Ang Ⅱ levels in cells were detected.Immunofluorescence method was applied to analyze the number of γH2AX focal points of cells in each group.Western blot was applied to detect the expression of proliferation and apoptosis related proteins and SDF-1/CXCR4 pathway related proteins.Results Both radiation and IBN treatment inhibited the proliferation and migration of A549 cells,promoted cell apoptosis,upregulated the number of γH2AX focal points and LDH leakage rate,upregulated the expression of Caspase-3,Bax,and Caspase-7,and downregulated the level of Ang Ⅱand expression of SDF-1,CXCR4,Bcl-2 and PCNA(P<0.05).The combined treatment of radiation and IBN further enhanced the changes of the above indicators(P<0.05).And SDF-1 treat-ment effectively reversed the effects of radiation and IBN treatment on the changes of the above indicators(P<0.05).Conclusion IBN can limit proliferation and migration of lung cancer cells,and increase radiosensitivity by inhibiting the SDF-1/CXCR4 pathway.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.