Objective To investigate the potential beneficial predictors for endovascular treatment(EVT)in case of acute anterior circulation large vessel occlusion with large-core infarction.Methods We made a retrospective inclusion of 92 patients with anterior circulation large vessel occlusion and core infarct volume ranging from 50 to 100 mL,who underwent EVT at Zhangzhou Municipal Hospital of Fujian Province from March 2018 to February 2021.All the patients were confirmed as anterior circulation large infarction and large infarct volume using computed tomography(CT),computed tomography angiography(CTA),and computed tomography perfusion(CTP)before EVT.All clinical and imaging data were collected to observe the postoperative recurrence rate,incidence of symptomatic intracranial hemorrhage(sICH),and functional prognosis 90 days.Then the patients were divided into favorable outcomes group(mRS≤3)and unfavorable outcomes group(mRS＞3)based on Rankin scores 90 days post-stroke.Univariate and multivariate Logistic analysis were conducted to analyze factors influencing the patients'prognosis.By combining the results of multivariate analysis,we constructed receiver operating characteristic(ROC)curves and identified the cut-off value to evaluate the predictive value of age for post-vascular treatment prognosis.Results Among the included patients,the postoperative revascularization rate(mTIICI≥2b)was 95％(88 cases),the rate of favorable outcomes at 90 days postoperatively(mRS≤3)was 32.61％(30 cases),the incidence of sICH was 13％,and the mortality rate was 31.5％.Compared with the unfavorable outcomes group,the favorable outcomes group had a younger age and a higher proportion of males.Multivariate analysis indicated that older age was an independent risk factor for adverse outcomes following endovascular treatment(OR=4.97,95％CI:1.78-13.90,P=0.002).The ROC curve indicated that the area under the curve was maximized at the age of 72.5 years(AUC=0.763,95％CI:0.661-0.864,P＜0.001).Its sensitivity and specificity was 0.565 and 0.833,respectively.Conclusion Age is an independent predictor of the prognosis of acute procirculatory large core stroke.Patients with large core infarction older than 72.5 years may not benefit from endovascular therapy,which needs to be confirmed by a multicenter large sample prospective randomized controlled trial.

ObjectiveTo understand the prevalence of tobacco use among residents aged 15 years old and above in Jiading District of Shanghai, and to provide a scientific basis for formulating effective regional tobacco control policies. MethodsThe Probability Proportional to Size (PPS) sampling method was employed to select one neighborhood committee (village) from each of Jiading District’s 11 subdistricts as survey monitoring sites. From the household registry of each selected neighborhood committee (village), 50 residential households were randomly sampled, resulting in a total of 550 households surveyed. Within each selected household, one permanent resident aged 15 years old or above was randomly chosen to complete the questionnaire. The content covered general information, exposure to secondhand smoke, awareness of tobacco related health hazards, etc. Statistical analyses were performed using SPSS 27.0 software. ResultsA total of 550 questionnaires were distributed, with 549 valid responses collected, and the effective response rate was 99.82%. The survey findings revealed that in 2023, the current smoking rate among individuals aged 15 years old and above in Jiading District of Shanghai was 18.76%, with males accounting for 38.93% and females accounting for 2.62%. Male gender was identified as a relative factor for smoking (OR=34.108, 95%CI: 14.440‒80.722), whereas higher education attainment emerged as a protective factor against smoking (OR=0.388, 95%CI: 0.184‒0.820). Among non-smokers aged 15 years old and above in Jiading District, the secondhand smoke exposure rate was 46.86%, with statistically significant differences observed across different age groups and occupations (P<0.001). Restaurants exhibited the highest secondhand smoke exposure rate of 42.14%, followed by households bearing (36.79%). The overall awareness rate among individuals aged 15 years old and above in Jiading District regarding four smoking-related diseases, namely stroke, heart disease, lung cancer, and impotence, was 48.45%, while the awareness rate for three secondhand smoke-induced diseases, namely adult heart disease, pediatric pulmonary disease, and adult lung cancer, was 64.29%. ConclusionThere is still room for reduction in the prevalence of tobacco use among individuals aged 15 yeas old and above in Jiading District. The exposure to secondhand smoke is severe, and residents have low awareness of the harm of tobacco. Tobacco control law enforcement should be strengthened, smoke-free-home health education should be included in tobacco control efforts, and targeted health education should be carried out.

Objective:To explore the efficacy and safety of negative-pressure wound therapy (NPWT) in treating infected wounds in orthopedic trauma patients.Methods:China National Knowledge Infrastructure, China Biomedical Literature Database, Wanfang Data Knowledge Service Platform, PubMed, Web of Science, Cochrane Library, and CINAHL were searched for randomized controlled trials (RCT) and cohort studies examining the impact of NPWT on wound healing in orthopedic trauma infections. The retrieval time was from the establishment of the databases to October 2024. RevMan 5.4 software was used for Meta-analysis. The patients were divided into two groups according to different treatment methods: the intervention group, treated with NPWT, and the control group, treated with conventional treatment. The observed indicators included clinical efficacy, wound healing quality, length of hospital stay, wound healing time, incidence of complications, secondary surgery rate, and duration of antibiotic use. Publication bias analysis was performed on the observed indicators through Begg and Egger tests.Results:A total of 13 studies were included, comprising 11 RCT and 2 cohort studies, involving a total of 3 538 patients, with 1 762 in the intervention group and 1 776 in the control group. The meta-analysis results indicated that the intervention group had better clinical efficacy ( OR=7.08, 95% CI 5.31, 9.45, P<0.01), higher wound healing quality ( MD=4.15, 95% CI 3.99, 4.32, P<0.01), shorter length of hospital stay ( MD=-13.38, 95% CI -14.39, -12.38, P<0.01), shorter wound healing time ( MD=-8.11, 95% CI -10.22, -6.00, P<0.01), lower incidence of complications, lower secondary surgery rate ( OR=0.22, 95% CI 0.09, 0.57, P<0.01), and shorter duration of antibiotic use ( MD=-7.61, 95% CI -8.06, -7.16, P<0.01) when compared with the control group. No significant publication bias was observed in the aforementioned indicators ( P>0.05). Conclusion:Compared with the conventional treatment, NPWT can enhance the clinical efficacy and wound healing quality of infected wounds in orthopedic trauma patients, shorten length of hospital stay and wound healing time, reduce the incidence of complications and secondary surgery rates, and shorten the duration of antibiotic use.

Objective:To explore the effectiveness of immersive virtual reality (VR)-guided core stability-assisted training in improving the balance of ischemic stroke survivors.Methods:Sixty-six hemiplegic ischemic stroke survivors were randomly divided into a conventional rehabilitation training group (CON) of 32 and an immersive VR-guided core stability-assisted training group (VR-TOT) of 34. In addition to basic internal medical treatment, the CON group underwent conventional rehabilitation therapy, while the VR-TOT group received VR-guided core stability-assisted training. Before and after 4 weeks of the treatments, the subjects′ balance was evaluated using the Fugl-Meyer balance scale. A three-dimensional force platform was used to collect the sway amplitude, sway speed, peripheral area and total trajectory length of the center of pressure COP of the bilateral plantar in the left-right and anterior-posterior directions while the subjects stood with the eyes open and closed.Results:After the treatments, the average Fugl-Meyer balance scores of both groups had improved significantly. In the eyes-open condition, after the treatment, there was a significant decrease in the average COP sway amplitude in the anteroposterior direction on the hemiplegic side among the CON group, as well as in both the mediolateral and anteroposterior directions on both sides in the VR-TOT group. The sway velocity in the anteroposterior direction on the hemiplegic side had decreased significantly in both groups, and the sway velocity in both the mediolateral and anteroposterior directions on the non-hemiplegic side had also decreased significantly. In the CON group the peripheral area on the non-hemiplegic side had decreased and the total trajectory length had shortened significantly. In the VR-TOT group there were significant decreases in the peripheral area on both sides and in the total trajectory length on both sides. Comparing the two groups after treatment, the peripheral area on the hemiplegic side in the VR-TOT group was significantly smaller. In the eyes-closed condition, the sway amplitude of the COP on the hemiplegic side in the anteroposterior direction and on the non-hemiplegic side in both the mediolateral and anteroposterior directions had decreased significantly in the VR-TOT group after the treatment. The average sway velocity had decreased significantly in the anteroposterior direction on the non-hemiplegic side in the CON group. In the VR-TOT group this was observed in the anteroposterior direction on the hemiplegic side and in both the mediolateral and anteroposterior directions on the healthy side. In the CON group the average peripheral area of the COP on the hemiplegic side had decreased, and the total trajectory length had shortened, both significantly. In the VR-TOT group, the peripheral area on the non-hemiplegic side had decreased significantly as well.Conclusions:Core stability-assisted training based on immersive virtual reality can effectively improve the balance of ischemic stroke survivors. It shows promise for clinical application.

Objective: To explore the feasibility of constructing a lung cancer early-warning risk model based on facial image features, providing novel insights into the early screening of lung cancer. Methods: This study included patients with pulmonary nodules diagnosed at the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from November 1, 2019 to December 31, 2024, as well as patients with lung cancer diagnosed in the Oncology Departments of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine and Longhua Hospital during the same period. The facial image information of patients with pulmonary nodules and lung cancer was collected using the TFDA-1 tongue and facial diagnosis instrument, and the facial diagnosis features were extracted from it by deep learning technology. Statistical analysis was conducted on the objective facial diagnosis characteristics of the two groups of participants to explore the differences in their facial image characteristics, and the least absolute shrinkage and selection operator (LASSO) regression was used to screen the characteristic variables. Based on the screened feature variables, four machine learning methods: random forest, logistic regression, support vector machine (SVM), and gradient boosting decision tree (GBDT) were used to establish lung cancer classification models independently. Meanwhile, the model performance was evaluated by indicators such as sensitivity, specificity, F1 score, precision, accuracy, the area under the receiver operating characteristic (ROC) curve (AUC), and the area under the precision-recall curve (AP). Results: A total of 1 275 patients with pulmonary nodules and 1 623 patients with lung cancer were included in this study. After propensity score matching (PSM) to adjust for gender and age, 535 patients were finally included in the pulmonary nodule group and the lung cancer group, respectively. There were significant differences in multiple color space metrics (such as R, G, B, V, L, a, b, Cr, H, Y, and Cb) and texture metrics [such as gray-levcl co-occurrence matrix (GLCM)-contrast (CON) and GLCM-inverse different moment (IDM)] between the two groups of individuals with pulmonary nodules and lung cancer (P < 0.05). To construct a classification model, LASSO regression was used to select 63 key features from the initial 136 facial features. Based on this feature set, the SVM model demonstrated the best performance after 10-fold stratified cross-validation. The model achieved an average AUC of 0.8729 and average accuracy of 0.799 0 on the internal test set. Further validation on an independent test set confirmed the model’s robust performance (AUC = 0.823 3, accuracy = 0.729 0), indicating its good generalization ability. Feature importance analysis demonstrated that color space indicators and the whole/lip Cr components (including color-B-0, wholecolor-Cr, and lipcolor-Cr) were the core factors in the model’s classification decisions, while texture indicators [GLCM-angular second moment (ASM)_2, GLCM-IDM_1, GLCM-CON_1, GLCM-entropy (ENT)_2] played an important auxiliary role. Conclusion The facial image features of patients with lung cancer and pulmonary nodules show significant differences in color and texture characteristics in multiple areas. The various models constructed based on facial image features all demonstrate good performance, indicating that facial image features can serve as potential biomarkers for lung cancer risk prediction, providing a non-invasive and feasible new approach for early lung cancer screening.

As a common ophthalmic disease, pterygium exhibits a considerably high incidence in global area, particularly in regions with harsh natural environment. While it is unlikely to cause blindness, pterygium frequently disrupts the normal homeostasis of the tear film, leading to discomfort such as dry eyes and foreign body sensation, thereby significantly impairing patients' quality of life. Furthermore, the high surgical intervention rate for pterygium consumes substantial medical resources. Therefore, investigating the underlying mechanisms of pterygium development is essential for its prevention and control. Extensive research has demonstrated the correlation between solar radiation and pterygium occurrence, confirming that ultraviolet rays within solar radiation contribute to the onset and progression of pterygium through multiple pathways, including direct DNA damage to ocular surface cells, oxidative stress-induced injury, involvement in inflammatory regulation, and extracellular matrix remodeling. This paper reviews both domestic and international epidemiological trends of pterygium, as well as the multifaceted mechanisms by which solar radiation influences pterygium development. The aim is to enhance understanding of the relationship between solar exposure and pterygium occurrence, while emphasizing and guiding public awareness of solar radiation protection in clinical practice.

AIM:This study aims to investigate the regulatory effects of caffeic acid phenethyl ester(CAPE)on metabotropic glutamate receptor 5(mGluR5)and tyrosine kinase Fyn,and to explore its role in alleviating neuroinflam-mation and pathological features of Alzheimer disease(AD).METHODS:In vitro,the murine neuroblastoma N2a cell line was treated with amyloid β-protein 42 oligomers(Aβ42Os;10 nmol/L to 10 μmol/L)for 24 h.Cell viability was as-sessed by MTT assay.Western blot analyzed mGluR5 expression and Fyn phosphorylation(Tyr416).Pharmacological modulators(CHPG/MPEP)were used to evaluate mGluR5-mediated inflammatory cytokine regulation(qPCR)and Fyn ac-tivation.In vivo,wild-type(WT)and 5×FAD mice(WT,WT+CAPE,5×FAD and 5×FAD+CAPE)were analyzed for AD-related proteins,neuroinflammation(ELISA),glial activation(GFAP/Iba-1 immunofluorescence),and β-amyloid deposi-tion(thioflavin S).RESULTS:(1)Treatment with 1 μmol/L Aβ42Os increased mGluR5 expression(P<0.01)and Fyn phosphorylation(P<0.01)without affecting N2a cell viability.Intracerebral Aβ42Os injection similarly up-regulated hip-pocampal mGluR5 and Fyn(P<0.01).(2)MPEP reduced mGluR5 expression(P<0.01)and Fyn phosphorylation(P<0.01),while suppressing tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)mRNA levels(P<0.01).(3)CAPE decreased mGluR5-Fyn activation in N2a cells,neurons,and 5×FAD mice(P<0.01).(4)CAPE-treated 5×FAD mice exhibited reduced neuroinflammation markers(GFAP,Iba-1,TNF-α,IL-1β,and IL-6),Aβ plaques,and p-APP levels(P<0.01).CONCLUSION:Treatment with CAPE inhibits Aβ42Os-induced mGluR5-Fyn signaling activation,thereby attenuating neuroinflammation and the pathology associated with AD.

[This corrects the article DOI: 10.1016/j.apsb.2021.07.004.].

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

The oxytocin receptor (OXTR) has garnered increasing attention for its role in regulating both mature behaviors and brain development. It has been established that OXTR mediates a range of effects that are region-specific or period-specific. However, the current studies of OXTR expression patterns in mice only provide limited help due to limitations in resolution. Therefore, our objective was to generate a comprehensive, high-resolution spatiotemporal expression map of Oxtr mRNA across the entire developing mouse brain. We applied RNAscope in situ hybridization to investigate the spatiotemporal expression pattern of Oxtr in the brains of male mice at six distinct postnatal developmental stages (P7, P14, P21, P28, P42, P56). We provide detailed descriptions of Oxtr expression patterns in key brain regions, including the cortex, basal forebrain, hippocampus, and amygdaloid complex, with a focus on the precise localization of Oxtr⁺ cells and the variance of expression between different neurons. Furthermore, we identified some neuronal populations with high Oxtr expression levels that have been little studied, including glutamatergic neurons in the ventral dentate gyrus, Vgat⁺Oxtr⁺ cells in the basal forebrain, and GABAergic neurons in layers 4/5 of the cortex. Our study provides a novel perspective for understanding the distribution of Oxtr and encourages further investigations into its functions.
Animals ; Receptors, Oxytocin/metabolism* ; Male ; Brain/growth & development* ; Mice ; Mice, Inbred C57BL ; Neurons/metabolism* ; Single-Cell Analysis ; Gene Expression Regulation, Developmental ; RNA, Messenger/metabolism* ; Animals, Newborn