Multi-arm robotic-assisted uniportal pulmonary resection is an emerging minimally invasive technique that enables anatomical pulmonary resection through a single incision using a multi-arm robotic platform. This consensus was initiated by Shanghai Pulmonary Hospital and developed through a multidisciplinary national expert panel. Using evidence-based methodology and expert survey, it provides a comprehensive overview of the clinical application of this technique, including its definition, indications and contraindications, technical considerations, and learning curve. As the first expert consensus focused on multi-arm robotic-assisted uniportal pulmonary resection, this consensus highlights the feasibility and developmental potential of the technique, which integrates existing robotic systems with uniportal minimally invasive principles. The consensus also offers theoretical and practical guidance for the standardized and safe implementation of the technique.

ObjectiveTo investigate the trends in diabetes mortality and potential years of life lost (PYLL) among residents of Huangpu District, Shanghai from 1993 to 2021, to analyze the long-term trends of diabetic patients with different characteristics and to provide a reference for scientific prevention and control of diabetes in aging urban areas. MethodsDiabetes mortality data were obtained from the Huangpu District cause of death registration records in the Shanghai death cause registration system. Indicators such as crude mortality rate, standardized mortality rate, potential years of life lost (PYLL), average years of life lost (AYLL), annual percentage change (APC), and average annual percentage change (AAPC) were used to analyze diabetes-related mortality and life loss. Statistical analyses were performed using software SPSS 21.0 and Joinpoint 5.0.2. ResultsFrom 1993 to 2021, the average annual crude mortality rate of diabetes in Huangpu District was 46.56/100 000, and the average annual standardized mortality rate was 20.44/100 000. The crude mortality rate and standardized mortality rate of diabetes for female residents were higher than those for males. The crude mortality rate showed an overall increasing trend [AAPC=2.81% (95%CI: 0.20%‒5.49%), P<0.05], while the increase in standardized mortality rate significantly slowed [AAPC=0.15% (95%CI: -2.27%‒2.63%)], P<0.05]. The mortality rate rose rapidly in the 70‒74 years age group and peaked in the 85‒ years age group (607.69/100 000). Diabetes accounted for a cumulative PYLL of22 741 person-years, with an average annual AYLL of 1.88 years and an average annual potential years of life lost rate (PYLLR) of 0.82‰. Male residents had higher PYLL, AYLL, and PYLLR than females. ConclusionDiabetes mortality rates in Huangpu District have increased year by year, resulting in significant life loss. However, the age-standardized mortality rate increase has markedly slowed. Efforts should focus on elderly diabetic patients aged ≥70 years, by leveraging platforms such as community-based chronic disease health support centers, efforts should be made to enhance diabetes screening service for middle-aged and elderly residents. Consequently, elderly diabetic patients’ awareness of diabetes and responce to related complications is improved, which would be conducive to controling the progression of complications and reducing the mortolity risk of diabetes.

Objective:To construct a full-length infectious clone of enterovirus D68（EV-D68）expressing enhanced green fluorescent protein（EGFP）by reverse genetics in order to provide an efficient tool for studying the biological characteristics and screening antiviral drugs for EV-D68.Methods:Gene synthesis and overlap PCR techniques were used to construct the full-length clone plasmid pUC57-EV-D68 of EV-D68. The full-length viral sequence was then transferred into the pCAGGS plasmid to obtain the pCAGGS-EV-D68 plasmid. The EGFP gene was amplified and inserted into the pCAGGS-EV-D68 plasmid to construct the pCAGGS-EGFP-EV-D68 plasmid. Then，the two constructed plasmids were transfected into human rhabdomyosarcoma（RD）cells to rescue recombinant viruses RV-EV-D68 and RV-EGFP-EV-D68. The rescued viruses were identified using PCR，Western blot，and immunofluorescence techniques. The antiviral effect of doxycycline was evaluated using the rescued RV-EGFP-EV-D68. Statistical analysis was performed using the two independent samples t-test. Results:The recombinant virus RV-EGFP-EV-D68 capable of expressing EGFP was successfully rescued. Even after 15 serial passages，the virus retained EGFP expression with no significant difference in viral titers compared to the parental virus，indicating its stable passage in RD cells. Besides，the rescued strains exhibited similar replication characteristics to the parental virus. While at 24 and 36 h after infection，the titers of the rescued strains were significantly lower than that of the parental strain（both P<0.05）. This study demonstrated that doxycycline significantly reduced the fluorescence intensity of RV-EGFP-EV-D68-infected RD cells（ P<0.01）. Meanwhile，a negative correlation was observed between the doxycycline concentration and the fluorescence intensity，indicating that the rescued virus could be used for antiviral drug evaluation. Conclusions:This study successfully constructs an infectious clone of EV-D68 expressing EGFP. The rescued recombinant virus RV-EGFP-EV-D68 has been verified to be applicable for the evaluation of antiviral drugs.

Objective:To analyze the association between inflammation-related dietary patterns and the risk for cognitive impairment in older adults aged ≥65 years in longevity areas in China by using reduced rank regression (RRR) analysis.Methods:This study used cross-sectional data from the 2021 Healthy Aging and Biomarkers Cohort Study, including the information about study participants' demographic characteristics, lifestyles, daily life activities, and disease histories. Dietary intake was obtained by using a simplified food frequency questionnaire. Cognitive impairment was evaluated based on the Mini-Mental State Examination Scale combined with years of education. Fasting venous blood samples were collected to detect inflammatory markers, especially high-sensitivity C-reactive protein (hs-CRP) and the platelet-to-lymphocyte ratio (PLR). RRR analysis was used to obtain inflammation-related dietary patterns using hs-CRP and PLR as response variables. Multivariate logistic regression model was used to analyze the association between dietary pattern score and the risk for cognitive impairment. Restricted cubic spline was used to explore the dose response relationship, and mediation analysis was used to quantify the mediating effects of hs-CRP and PLR.Results:Two dietary patterns were identified with RRR. The primary pattern was characterized by higher intakes of flour, red meat, and dairy products, and lower intake of fresh vegetables, explaining 6.84% of the variance in food intake and 0.50% of the variance in inflammatory markers. Compared with the T1 group, the T3 group had significantly higher risk for cognitive impairment ( OR=1.242, 95% CI: 1.034-1.491). Each one standard deviation increase in the dietary pattern score was associated with an 8.7% increase in the risk for cognitive impairment ( OR=1.087, 95% CI: 1.008-1.172), with a significant linear trend (overall-model P<0.001, non-linear P=0.295). Mediation analysis indicated that hs-CRP mediated 6.2% of the association between the dietary pattern and the risk for cognitive impairment. Conclusion:The inflammation- related dietary pattern characterized by higher consumption of flour, red meat, and dairy products and lower consumption of fresh vegetables is associated with an increased risk for cognitive impairment in older adults, and hs-CRP partially mediates this association.

Objective:To investigate the relationship between dietary behavior and sarcopenia in older adults aged ≥65 years in longevity areas of China based on latent class analysis.Methods:A total of 4 358 older adults aged ≥65 years were selected from the 2021 Healthy Aging and Biomarkers Cohort Study. The information about their demographic characteristics, lifestyles, and chronic disease histories were collected. A simplified food frequency questionnaire was used to collect information about their dietary intake in the last month. The food intake frequency and food category score were calculated, and the higher the food category score, the richer the dietary intake. Latent class analysis was used to identify the latent classes of the dietary behavior. Sarcopenia was diagnosed using the SARC-CalF. Multivariate logistic regression model was used to analyze the association of food category scores and different latent classes of the dietary behavior with the risk for sarcopenia.Results:In 4 358 older adults, 1 841 (42.24%) had sarcopenia. The frequencies of intakes of cereals and potatoes, vegetable and fruit, meat and bean products were lower in the sarcopenia group than in the non-sarcopenia group. The risk for sarcopenia decreased with the increase of food category score in older adults ( OR=0.850, 95% CI: 0.796-0.907). Latent class analysis identified 4 latent classes of the dietary behavior. Compared with those with class 1 (frequency of intake of all 5 food species was higher probability in T3 group), those with class 2 (frequency of intake of vegetables and fruits and energy-only foods were less likely to be in the T3 group) and class 3 (frequency of intake of all 5 food species was lower probability in T3 group) had significantly increased risk for sarcopenia ( OR=1.377, 95% CI: 1.131-1.676) and ( OR=1.354, 95% CI: 1.091-1.680), 37.7% and 35.4% increased risk for sarcopenia, respectively. Conclusion:Increasing dietary intake category and sufficient intake of various foods for a balanced dietary pattern can reduce the risk of sarcopenia in older adults.

Objective:To explore how the teaching of ideological and political courses in colleges and universities can effectively guide online public opinion under the background of melted media,so as to cope with the challenges posed by diversified information transmission channels and complex and changeable online public opinion,thereby promoting the formation of correct values and ideological cognition among students.Methods:A total of 1 353 students who volunteered to participate in this survey in a university that offers courses related to online public opinion guidance were selected as the survey subjects.Multiple linear regression analysis was used to analyze how universities should teach students to deal with online hot topics through relevant ideological and political courses.Results:Results of multiple linear regression analysis indicated that the teaching of ideological and political courses in colleges and universities under the background of melted media significantly enhanced students'awareness of online public opinion,and the courses played a positive role in the guidance.The improvement of media literacy facilitated the formation of students'correct values and ideological cognition,effectively responding to the challenges of diversified information dissemination.Variables including the infringement of personal privacy by online public opinion,the enhancement of civic consciousness,the impact on learning,and the distortion of reality understanding all had an impact on students'perception of the teaching effect of ideological and political courses.Conclusions:The teaching of ideological and political courses in colleges and universities plays a significant role in guiding online public opinion under the background of melted media.By enhancing students'media literacy,discernment,and emotional management ability,it effectively promotes the formation of students'correct values and ideological ideological,and provides strong support for the healthy growth of students in the complex network environment.The important role of ideological and political teaching in cultivating students'comprehensive abilities and guiding them to correctly deal with online public opinion is emphasized.

Objective To explore the predictive value of maximum standardized uptake value(SUVmax)and mean standardized uptake value(SUVmean)parameters in 18F-prostate specific membrane antigen-1007 positron emission tomography/computed tomography(18F-PSMA-1007 PET/CT)for the diagnosis and disease progression of prostate cancer(PCa).Methods Eighty patients with suspected PCa who underwent 18F-PSMA-1007 PET/CT examination in the hospital were selected and divided into the PCa group(49 cases)and the non-PCa group(31 cases)according to the biopsy pathological results.The 18F-PSMA-1007 PET/CT parameters were collected in the two groups of patients at admission,including SUVmax and SUVmean.The prostate specific antigen(PSA)and prostate cancer histological grade(GLEASON)score were also collected in patients of the PCa group at admission and 3 months after admission.The diagnostic efficiency of 18F-PSMA-1007 PET/CT parameters on PCa was analyzed by receiver operating characteristic(ROC)curve.The correlation between 18F-PSMA-1007 PET/CT parameters of patients in the PCa group at admission and PSA,GLEASON score was analyzed by Pearson method.Results The SUVmax and SUVmean in the PCa group were higher than those in the non-PCa group(P＜0.05).ROC curve analysis showed that the areas under the curves(AUCs)of SUVmax and SUVmean were 0.887 and 0.843 respectively,the sensitivities were 80.65%and 83.87%,and the specificities were 87.76%and 73.47%respectively.The PSA and GLEASON score were lower 3 months after admission than those at admission in the PCa group(P＜0.05).Pearson correlation analysis showed that the SUVmax and SUVmean of patients in the PCa group at admission were positively correlated with PSA and GLEASON score at admission and 3 months after admission(P＜0.05).Conclusion SUVmax and SUVmean parameters of 18F-PSMA-1007 PET/CT have high predictive value for the diagnosis and disease progression of PCa.

Foot torsion stiffness refers to the foot's ability to resist deformation when subjected to torsional forces,and such characteristics play a crucial role in the prevention of sports injuries and design of athletic footwear.This review systematically summarizes the biomechanical research progress of foot torsion and shoe torsion,as well as the research and application of multi-segment foot models in foot-shoe torsion.The findings indicate that foot torsional stiffness significantly impacts lower limb kinematics,kinetics,and athletic performance.Optimizing this stiffness can improve stress distribution,reduce injury risk,and enhance performance.The future researches should focus on refining measurement techniques to enhance reliability and efficiency in clinical applications,providing a scientific foundation for sports injury prevention and footwear design.

The research on the cardiovascular toxicity of air pollutants is in urgent need of collaborative innovation across multiple models. This paper systematically reviewed the advantages and limitations of four principal research models of cardiotoxicity, including epidemiological model, mammalian model, zebrafish model, and in vitro model. Epidemiological models have been used to demonstrate a significant correlation between exposure to PM_2.5 and both the incidence and mortality of cardiovascular diseases within populations; however, these models face challenges in establishing causal inferences and interpreting individual mechanisms. Mammalian models have been applied to elucidate the pathogenic mechanisms of PM_2.5 at both the systemic and organ-specific levels, yet they encounter difficulties related to interspecies differences and throughput constraints. Zebrafish models, with their transparent embryos and observable development, offer a distinctive opportunity for high-throughput screening and mechanistic investigation of PM_2.5-induced cardiac developmental toxicity. Nonetheless, their cardiac physiological structure diverges from that of mammals, limiting their capacity to accurately model chronic conditions such as coronary heart disease. In vitro models, particularly human heart organoids and chip technologies, have provided profound insights into the direct toxic mechanisms of PM_2.5, including disruptions in calcium homeostasis, cellular senescence, and electrophysiological irregularities at the cellular and molecular levels. Despite these advancements, the complexity and developmental maturity of these models present challenges to their broader application. This paper proposed that the key to overcoming the bottlenecks of single models lies in the construction of an integrated evaluation system that combines “epidemiological studies, mammalian models, zebrafish models, and in vitro models”. By focusing on three aspects, namely model integration, technological convergence, and policy support, it is intended to collaboratively address issues such as standardization of multi-model data, simulation of complex exposure scenarios and susceptible life stages, and transformation pathways. This will provide innovative methodological support for the analysis of the cardiotoxic mechanisms of air pollutants, the assessment of environmental health impacts, and the formulation of precise prevention and control strategies.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.