Background: High-mobility group box protein 1 (HMGB1) is a chromatin-binding protein involved in arthritis, ischemia, sepsis, atherosclerosis, neurodegenerative disorders, meningitis, and cancer. HMGB1 exhibits dual roles in cancer, acting as either a tumor suppressor or oncoprotein depending on context. Objective: This research aimed to elucidate HMGB1’s functional significance in cutaneous squamous cell carcinoma (cSCC). Methods: We overexpressed HMGB1 in cSCC cell lines using recombinant adenovirus and examined its effects on cell proliferation, colony formation, and cell migration. Results: Immunohistochemical analysis revealed elevated HMGB1 expression levels in cSCC tissue relative to normal epidermis. To assess the influence of HMGB1, we employed recombinant adenoviruses expressing HMGB1 to transduce SCC cell lines (SCC12 and SCC13). Enhanced HMGB1 expression significantly promoted cellular proliferation and colony formation capacity.Notably, HMGB1 overexpression elevated the levels of proliferation regulators, including P63, SOX2, CDK4 and CDK6. Furthermore, HMGB1 overexpression substantially enhanced tumor invasiveness, accompanied by upregulation of epithelial-mesenchymal transition (EMT) biomarkers. Mechanistically, overexpression of HMGB1 enhanced transforming growth factor-β signaling by increasing phosphorylation of SMAD2/3, the key mediators of EMT. Conclusion These data imply that HMGB1 acts as a tumor-promoting factor in cSCC.

Objective To introduce the calculation of the DISO index in multi-dimensional data ranking for disease surveillance, and evaluate its applicability. Methods Using the data from the quality supervision and inspection of infectious disease reporting in Jingzhou City in a certain year as an example, the DISO index was used to rank 16 investigated medical institutions and compared with the TOPSIS method. The consistency between the two evaluation results was analyzed using Spearman correlation. Then, The DISO index from different medical institutions was used to evaluate the ranking of 8 counties (cities, districts). The evaluation indicators for the supervision and inspection included six items: report rate, timely report rate, completeness of report card filling, accuracy of report card filling, consistency rate with network information report, and completeness of valid ID number filling. Results Among the 16 medical institutions, 8 institutions had all six evaluation indicators at 100%. Using the two methods to rank the 16 medical institutions, the two methods showed that the 8 medical institutions with all six evaluation indicators at 100% were ranked first. There was a strong correlation between the rankings of the 16 medical institutions using the two methods (r_s=0.992, P=0.000). The three counties (cities, districts) with all six evaluation indicators at 100% were all ranked first, while country G was ranked seventh and country E was ranked eighth. Conclusion The results of the DISO index and the TOPSIS method were similar in one-dimensional ranking. DISO can be used for multi-dimensional ranking of disease surveillance data and deserves to be promoted and applied.

Objective:To analyze the results of national external quality assessment (EQA) for transfusion compatibility test in 2023, and provide reference for quality management of clinical transfusion compatibility testing.Methods:The EQA of clinical transfusion compatibility testing by NCCL was performed 3 times in 2023 among included laboratories. The panel consisting of 22 samples was distributed to 4 186 laboratories across 31 provinces (Including 2 961 tertiary hospital laboratories, 1 085 secondary hospital laboratories, 23 primary hospital laboratories, 106 blood station laboratories and 11 independent clinical laboratories). Each panel contains 11 red blood cell and 11 plasma samples per 1.5 ml/tube. Each participant laboratory of the EQA program was required to carry out the detection and return results in expected time. Statistical analysis and evaluation on the reported results were conducted by NCCL from the aspects of regional distribution, laboratory grading, testing methodology, reagent and testing system usage.Results:The qualification rates of EQA for five items including ABO positive typing, ABO reverse typing, RhD blood type, antibody screening, and cross matching were 96.68%, 95.10%, 96.46%, 95.32%, and 91.04%, respectively. The EQA qualification rate of tertiary hospital laboratories was 87.77% (2 599/2 961), which was significantly higher than the 77.79% (844/1 085) of secondary hospital laboratories. There were significant differences in the qualification rate of participating laboratories among different regions. The utilization rates of micro column agglutination method in ABO positive typing, ABO reverse typing, RhD blood type, antibody screening, and cross matching were 80.81% (10 080/12 474), 75.06% (9 337/12 440), 81.38% (10 118/12 433), 89.59% (11 104/12 394) and 76.25% (9 495/12 453), respectively. The qualification rate of micro column agglutination method was significantly higher than that of saline slide method in ABO positive typing detection ( P<0.05). The qualification rate of micro column agglutination method was significantly higher than that of the polyamine method and anti-human globulin test tube method in antibody screening ( P<0.05). There were statistically significant differences in qualification rate of 7 reagents in ABO reverse typing, antibody screening and cross matching ( P<0.05). There was no statistically significant difference in the qualification rate between the two detection systems for other reagents, except for the ABO reverse typing where the qualification rate of reagent 1 in a single system was higher than that in a mixed system ( P<0.05). Conclusion:The testing capabilities of clinical laboratories in different regions and different type varied significantly in China. Micro column agglutination method was the most popular selection in transfusion compatibility testing. The regents used in these laboratories showed good performance. However, the detection efficiency of some reagents still need to be improved. EQA could be used to evaluate, monitor, and improve the quality of testing.

Objective To investigate the relationship of TyG index and IC.Methods A cross-sectional study was conducted with 1000 older adults living in Wanshou Road Community from May to December 2023.Finally 820 participants were enrolled,and based on the TyG index,they were divided into lower TyG index group(≤7.349,404 cases)and higher TyG index group(＞7.349,416 cases).After PSM,there were only 522 participants subjected,including 261 individuals in the lower TyG index group 1 (≤7.349)and 416 ones in the higher TyG index group 2(＞7.349).Univariate and multivariate logistic regression analyses were used to assess the correlation between IC and the TyG index as both continuous and categorical variables.PSM was employed to eliminate the confounding effects of covariates to identify the relationship between TyG index and IC in different categories.Results Before PSM,the neutrophil count,WBC count,and Hcy,FPG,TC,TG and HbA1c levels were significantly lower,and lymphocyte count,monocyte count,and AST level were obviously higher in the low TyG index group than the high TyG index group(P＜0.05,P＜0.01).After PSM,the low TyG index group still had notably lower FPG,TG and HbA1c than the high TyG index group(P＜0.05,P＜0.01).ROC curve analysis revealed that the cutoff value of TyG index was 7.349.Taking 7.349 as the cutoff value and TyG index as the cate-gorical variable,multivariate logistic regression analysis displayed that TyG index was correlated with IC[OR=3.921,95％CI:2.800-5.491,P=0.001(Model 1);OR=2.744,95％CI:1.739-4.329,P=0.001(Model 2);OR=2.744,95％CI:1.805-4.171,P=0.001(Model 3);OR=2.722,95％CI:1.530-4.843,P=0.001(after PSM)],indicating that TyG index remains an independent risk factor for IC.Conclusion IC is still correlated with TyG index in community-dwelling elderly individuals under different baseline conditions after adjusting for relevant laboratory indicators.As an indicator generated from routine blood test,TyG index has advantages in terms of cost and time.With further validation,TyG may provide a direction for studying IC prediction.

Objective Based on multi-objective optimization,a design method for Voronoi bionic porous scaffolds tailored to different degrees of bone defects was proposed.Methods First,the effects of design parameters on mechanical and biological properties of the scaffolds were investigated.The response surface models were then established respectively for the design parameters and performance indicators(specific surface area,elastic modulus,yield strength,and permeability).Using a cubic scaffold with side length of 15 mm as an example(assuming a corresponding bone defect of the same dimension),multi-objective optimization of the scaffold was finally conducted using the non-dominated genetic algorithm-Ⅱ algorithm,while considering the elastic modulus and permeability ranges of bone tissues as performance constraints.Results The degree of anisotropy in Voronoi scaffolds was influenced by the number of seed points,while the size and scaling factors of the scaffolds exclusively impacted the rod diameter and rod length.Using the design method of this study,the optimal scaffold with specific defect size satisfying mechanical and biological properties was designed.The optimal scaffold meeting different strength requirements was designed by adjusting the yield strength to change the utopia point.Conclusions A design method for Voronoi bionic porous scaffolds based on multi-objective optimization is proposed.This method can be applied to bone defects at varying degrees and provides a new idea for the personalized design of bone tissue engineering scaffolds.

Fetal ultrasound standard plane detection was introduced in terms of its importance and problems encountered.The deep learning techniques applied in fetal standard plane detection were reviewed,including transfer learning,modified basic network,hybrid network and multi-task network.The problems encountered by the deep learning techniques during the application were analyzed,and the future research directions were envisioned.[Chinese Medical Equipment Journal,2025,46(5):91-101]

Fetal ultrasound standard plane detection was introduced in terms of its importance and problems encountered.The deep learning techniques applied in fetal standard plane detection were reviewed,including transfer learning,modified basic network,hybrid network and multi-task network.The problems encountered by the deep learning techniques during the application were analyzed,and the future research directions were envisioned.[Chinese Medical Equipment Journal,2025,46(5):91-101]

Objective To explore the correlation between triglyceride glucose(TyG)index and per-cutaneous coronary intervention(PCI)following drug treatment in elderly patients with unstable angina pectoris(UAP).Methods A total of 221 elderly UAP patients admitted to the Hyperbaric Oxygen Department of the First Medical Center of Chinese PLA General Hospital from March 2016 to March 2024 were enrolled,and based on the tertiles of the TyG index,they were divided into low,medium and high TyG index groups(the index:≤8.48,8.49-8.92,＞8.92;with 74,74 and 73 cases,respectively).Clinical data of all patients were collected,and whether undergoing PCI after discharge was defined as the endpoint event.The follow-up ended on May 10,2024.The clini-cal data were compared in the three groups.Kaplan-Meier survival curves were plotted to compare the survival rates among the groups,and Cox proportional hazards regression model was em-ployed to analyze the influencing factors for occurrence of endpoint event.Results There were significant differences in the three groups in terms of TyG index,BMI,diabetes,FPG,TC,TG,LDL-C,HDL-C,HbA1c,NT-proBNP,and incidence of endpoint event(P＜0.05,P＜0.01).Univa-riate Cox proportional hazards regression analysis showed that the TyG index,diabetes,and HbA1c were risk factors for endpoint events in elderly patients with UAP(HR=2.523,95％CI:1.593-3.996;HR=2.543,95％CI:1.263-5.118;HR=1.434,95％CI:1.159-1.774).Further multivariate Cox proportional hazards regression analysis showed that,after adjusting for diabetes and HbA1c,the TyG index was an independent risk factor for PCI after discharge in UAP patients(HR=2.023,95％CI:1.209-3.384).Conclusion In elderly UAP patients receiving drug treat-ment,a high TyG index is positively correlated with undergoing PCI after discharge,and the index is an independent risk factor for PCI in them.

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.

Objective:To develop a nomogram model utilizing serological indicators for predicting in-hospital major adverse cardiovascular events(MACE)in elderly patients diagnosed with acute coronary syndrome(ACS).Methods:This study involved a retrospective analysis of clinical data from 1, 818 elderly patients with ACS who were treated at the First Medical Center of the General Hospital of the People's Liberation Army from January 2022 to May 2024.The patients were randomly assigned to a training set(1, 272 cases)and a validation set(546 cases)in a 7: 3 ratio.Following a comparison of the two groups, the training set was further categorized into non-MACE and MACE groups based on the occurrence of endpoint events.Univariate analysis, Lasso regression, and multivariate logistic regression analyses were sequentially employed to identify factors influencing in-hospital MACE and to construct the nomogram model.The performance of the model was assessed using receiver operating characteristic(ROC)curves, calibration curves, and decision curves.Results:Among the 1, 818 ACS patients, the mean age was 67 years(interquartile range: 61.0 to 73.0), with 70.4% being male.Almost all indicators(except platelet count)exhibited no statistically significant differences between the training and validation sets(all P>0.05).However, statistically significant differences(all P<0.05)were observed in age, body mass index, neutrophil count, lymphocyte count, monocyte count, white blood cell count, hemoglobin, red blood cell distribution width, mean platelet volume, C-reactive protein(CRP), fibrinogen, D-dimer, albumin, direct bilirubin, troponin T(TnT), fasting blood glucose(FBG), estimated glomerular filtration rate(eGFR), uric acid, N-terminal pro-B-type natriuretic peptide(NT-proBNP), glycated hemoglobin(HbA1c), and high-density lipoprotein cholesterol(HDL-C)between the non-MACE and MACE groups in the training set.Ultimately, seven variables—neutrophil count, hemoglobin, red blood cell distribution width, CRP, TnT, FBG, and NT-proBNP—were selected to construct the nomogram model.The model demonstrated high discrimination in both the training and validation sets, with an area under the curve of 0.86(95% CI: 0.82-0.90)for the training set and 0.85(95% CI: 0.81-0.90)for the validation set.Furthermore, the calibration curves for both cohorts indicated a close agreement between predicted and actual risk estimates, suggesting improved model calibration.Decision curve analysis indicated that the predictive model has notable clinical utility. Conclusions:The constructed nomogram enhances the accuracy of predicting in-hospital MACE in elderly patients with ACS, thereby offering a valuable reference for clinical practice.