Purpose: Breast cancer (BC) is a predominant malignancy globally, surpassing lung cancer in terms of diagnostic frequency, with an escalating incidence rate in recent decades.Recent studies have investigated the role of protein kinase C zeta (PRKCZ) in diverse cellular processes in cancer biology. In this study, we evaluated the association between PRKCZ and deleterious outcomes in BC and elucidated the mechanisms underlying its expression in breast carcinoma. Methods: The correlation between PRKCZ and survival rates of patients with BC was investigated using The Cancer Genome Atlas database. The methylation status of the PRKCZ promoter was analyzed using the UALCAN database. Furthermore, we investigated the mechanisms underlying PRKCZ inactivation in BC by treatment with transferase inhibitors, methylation-specific polymerase chain reaction (PCR) analysis, western blotting, and luciferase reporter gene assays. The degree of methylation and expression levels of PRKCZ, as regulated by DNA methyltransferase 1 (DNMT1), were quantified using quantitative PCR and western blotting. Results: Our analysis revealed that decreased expression of PRKCZ in BC was significantly correlated with poor clinical prognosis. Furthermore, we observed that hypermethylation of the PRKCZ promoter contributed to its reduced expression in BC. Notably, DNMT1 has been identified as a critical regulator of PRKCZ methylation. Conclusion Our findings elucidate the tumor-suppressive function of PRKCZ and provide insights into the molecular mechanisms underlying its downregulation in BC.

Purpose: Breast cancer (BC) is a predominant malignancy globally, surpassing lung cancer in terms of diagnostic frequency, with an escalating incidence rate in recent decades.Recent studies have investigated the role of protein kinase C zeta (PRKCZ) in diverse cellular processes in cancer biology. In this study, we evaluated the association between PRKCZ and deleterious outcomes in BC and elucidated the mechanisms underlying its expression in breast carcinoma. Methods: The correlation between PRKCZ and survival rates of patients with BC was investigated using The Cancer Genome Atlas database. The methylation status of the PRKCZ promoter was analyzed using the UALCAN database. Furthermore, we investigated the mechanisms underlying PRKCZ inactivation in BC by treatment with transferase inhibitors, methylation-specific polymerase chain reaction (PCR) analysis, western blotting, and luciferase reporter gene assays. The degree of methylation and expression levels of PRKCZ, as regulated by DNA methyltransferase 1 (DNMT1), were quantified using quantitative PCR and western blotting. Results: Our analysis revealed that decreased expression of PRKCZ in BC was significantly correlated with poor clinical prognosis. Furthermore, we observed that hypermethylation of the PRKCZ promoter contributed to its reduced expression in BC. Notably, DNMT1 has been identified as a critical regulator of PRKCZ methylation. Conclusion Our findings elucidate the tumor-suppressive function of PRKCZ and provide insights into the molecular mechanisms underlying its downregulation in BC.

Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95％CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.

Objective To investigate the differences of language abilities between children with developmental delay(DD)and those with autism spectrum disorder(ASD)aged 3-6 years,and to provide references for clinical differential diagnosis and subsequent rehabilitation therapy.Methods In this study,61 cases of DD children and 61 cases of ASD chil-dren were selected.The language ability of children was assessed using the"Children's Language Ability Assessment Stand-ards and Methods",which evaluated grammar,comprehension,expression and communication abilities.Results Children with DD showed better comprehension and social skills but weaker grammar and expressive abilities.Children with ASD generally had lower levels in all language areas.There was no significant difference in the average language ability or expres-sive ability the two groups(P＞0.05),but the language comprehension ability and communication ability of the ASD group were significantly lower than those of the DD group(P＜0.05).The grammar ability of the ASD group was higher than that of the DD group(P＜0.05).Conclusion The levels of different language areas of children with DD and ASD children are significantly different.Language ability tests can assist in the differential diagnosis of DD and ASD children,and provide reference for language rehabilitation training.

Objective To identify potential biomarkers for proliferative diabetic retinopathy(PDR)using proteomics and transcriptomics data.Methods In this study,the proteomics dataset(PXD046630)and two transcriptomics datasets(GSE60436 and GSE102485)were derived from the aqueous humor samples and fibrovascular membranes of PDR patients,respectively.Differentially expressed genes(DEGs)were identified via R software,specifically the limma and edgeR pack-ages.The shared DEGs between PXD046630 and GSE60436 were analyzed via protein-protein interaction(PPI),Gene On-tology(GO)enrichment,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses.The key DEGs were validated in GSE102485 via receiver operating characteristic(ROC)curve analysis.A quantitative polymerase chain reaction(qPCR)assay was used to confirm the mRNA of these candidate biomarkers in human retinal microvascular endothelial cells(HRMECs)cultured in high glucose and low oxygen conditions.Results A total of 59 shared DEGs and 26 hub genes were identified from the PXD046630 and GSE60436 datasets.KEGG analysis revealed that six pathways,inclu-ding extracellular matrix-receptor interaction,proteoglycans in cancer,and complement and coagulation cascades,were enriched in 12 key DEGs.Fibronectin 1(FN1),tissue inhibitor of metalloproteinase 3(TIMP3),complement factor H(CFH),decorin(DCN),and lipoprotein receptor-related protein-2(LRP2)were identified as potential biomarkers on the basis of their AUC values being greater than 0.900(CI≥95％).The mRNA expression levels of FN1,CFH,and LRP2 were significantly increased in HRMECs cultured in high glucose and low oxygen conditions.Conclusion FN1,CFH,and LRP2 are potential biomarkers for PDR,and further studies are needed to explore their roles and therapeutic potential in PDR.

Objective:The association between air pollutants and the risk of sudden cardiac death (SCD) remains controversial. This study aimed to investigate the relationship between five air pollutants—PM 2.5, PM 2.5–10, PM 10, NO 2, and NO?—and the risk of SCD. Methods:We analyzed data from 460 862 participants in the UK Biobank cohort, all enrolled between 2006 and 2010, with no baseline SCD. Follow-up continued until the study endpoint. Annual average concentrations of the five pollutants were assessed. Associations between pollutants and SCD were evaluated using Cox proportional hazards models, followed by Mendelian randomization (MR) to assess causality.Results:Over a mean follow-up of 12.4 years, 2 662 SCD cases were recorded. After adjusting for confounders, no significant associations were found between air pollutants and SCD risk: PM 2.5 ( HR 1.03, 95% CI 0.99–1.07, P = 0.14), PM 2.5–10 ( HR 1.04, 95% CI 1.00–1.08, P = 0.08), PM 10 ( HR 1.01, 95% CI 0.99–1.03, P = 0.26), NO? ( HR 1.00, 95% CI 0.99–1.00, P = 0.26), and NO x ( HR 1.00, 95% CI 1.00–1.01, P = 0.19). MR analysis further supported the absence of causal relationships: PM 2.5 ( β = -0.149, P = 0.90), PM 2.5–10 ( β = 0.387, P = 0.62), PM 10 ( β = -0.994, P = 0.62), NO? ( β = –0.005, P = 0.99), and NO 2 ( β = –0.827, P = 0.25). Conclusions:This study found no evidence linking PM 2.5, PM 2.5–10, PM 10, NO?, or NO 2 to an increased risk of SCD. Mendelian randomization confirmed the lack of causal associations between these pollutants and SCD.

Objective To evaluate the association between self-reported neighborhood walkability environments and mortality in China.Methods The Prospective Urban Rural Epidemiology study in China(PURE-China)recruited 47 931 participants aged 35-70 from 12 provinces in China between 2005 and 2009.Neighborhood environmental indicators were collected using the Neighborhood Environment Walkability Scale(NEWS)questionnaire,with higher scores indicating better walkable environments.The primary outcomes were all-cause mortality and cardiovascular mortality,using Cox fragile model to evaluate the association between community walkability and outcomes,as well as exploring mediating pathways.Results Of 35 490 participants included in this study,60%were female,with a mean(SD)age of 51.5(9.6)years.The median follow-up was 11.7 years.This study found an association between higher community walkability score and reduced risk of all-cause mortality,with the total score(HR=0.85;95%CI,0.80-0.89),land-use mix(HR=0.84;95%CI,0.79-0.88),and crime safety(HR=0.84;95%CI,0.80-0.89)showing the most significant associations.NEWS can affect long-term adverse outcomes through lifestyle.Conclusions In the Chinese population,favorable community walkability is associated with lower all-cause mortality risk,which may support policymakers to take actions to mitigate the adverse effects of poor community en-vironments on health.

Purpose: Breast cancer (BC) is a predominant malignancy globally, surpassing lung cancer in terms of diagnostic frequency, with an escalating incidence rate in recent decades.Recent studies have investigated the role of protein kinase C zeta (PRKCZ) in diverse cellular processes in cancer biology. In this study, we evaluated the association between PRKCZ and deleterious outcomes in BC and elucidated the mechanisms underlying its expression in breast carcinoma. Methods: The correlation between PRKCZ and survival rates of patients with BC was investigated using The Cancer Genome Atlas database. The methylation status of the PRKCZ promoter was analyzed using the UALCAN database. Furthermore, we investigated the mechanisms underlying PRKCZ inactivation in BC by treatment with transferase inhibitors, methylation-specific polymerase chain reaction (PCR) analysis, western blotting, and luciferase reporter gene assays. The degree of methylation and expression levels of PRKCZ, as regulated by DNA methyltransferase 1 (DNMT1), were quantified using quantitative PCR and western blotting. Results: Our analysis revealed that decreased expression of PRKCZ in BC was significantly correlated with poor clinical prognosis. Furthermore, we observed that hypermethylation of the PRKCZ promoter contributed to its reduced expression in BC. Notably, DNMT1 has been identified as a critical regulator of PRKCZ methylation. Conclusion Our findings elucidate the tumor-suppressive function of PRKCZ and provide insights into the molecular mechanisms underlying its downregulation in BC.

OBJECTIVES: To evaluate the early clinical efficacy and safety of trans-catheter aortic valve replacement (TAVR) for patients with severe pure native aortic regurgitation (PNAR) who are not suitable for conventional surgical aortic valve replace-ment. METHODS: A retrospective analysis was conducted on 48 patients with PNAR who underwent TAVR at the Department of Cardiac Surgery, the First Affiliated Hospital of Sun Yat-sen University between March 2019 and February 2025. These included 25 cases with transfemoral approach (TF-TAVR group) and 23 cases with transapical approach (TA-TAVR group). Efficacy and safety were assessed by analyzing baseline characteristics, all-cause mortality, and procedure-related complications. RESULTS: Compared with the TA-TAVR group, the TF-TAVR group exhibited significantly smaller aortic annulus circumference and diameter, left ventricular outflow tract circumference and diameter, diameters of the left, right, and non-coronary sinuses, and sinotubular junction (STJ) diameter, along with a shorter distance from the STJ to the aortic annular plane ring plane, a smaller annulus angle (all P<0.05). Additionally, the TF-TAVR group showed a deeper prosthesis implantation depth relative to the aortic annular plane (P<0.01). The overall technical success rate was 91.67%, and the device success rate was 83.33%. Post-TAVR, both groups demonstrated significant improvement in left ventricular end-diastolic diameter (both P<0.05), while only the TA-TAVR group showed significant reduction in left ventricular end-systolic diameter (P<0.05). For primary outcomes, in-hospital mortality occurred in 2 patients (4.17%). No additional deaths were reported at 60 or 90 d after surgery. During 90-180 d after surgery, one patient in the TF-TAVR group died of sudden cardiac death, and one in the TA-TAVR group died of gastroin-testinal bleeding. During 180 d-1 year after surgery, one patient in the TF-TAVR group died of low cardiac output syndrome. No statistically significant differences were observed in 1-year Kaplan-Meier survival curves between the two groups (P>0.05). No conduction block events occurred in TA-TAVR group during hospitalization or 1-year follow-up, while high-grade atrioventricular block, left bundle branch block, permanent pacemaker implantation occurred in TF-TAVR group during hospitalization (12.00%, 4.00%, and 12.00%, respectively). CONCLUSIONS TAVR demonstrates high feasibility and acceptable safety for severe PNAR patients who are not suitable for conventional SAVR. Both TF-TAVR and TA-TAVR show comparable early postoperative efficacy and safety profiles.
Humans ; Transcatheter Aortic Valve Replacement/adverse effects* ; Aortic Valve Insufficiency/surgery* ; Retrospective Studies ; Male ; Female ; Aged ; Treatment Outcome ; Aortic Valve/surgery* ; Aged, 80 and over ; Heart Valve Prosthesis

Objective:To explore the capability of deep learning image reconstruction (DLIR) compared to adaptive statistical iterative reconstruction (ASiR-V) in improving the image quality and myocardial edge sharpness of dynamic stress myocardial CT perfusion imaging (CTP).Methods:Thirty subjects who underwent dynamic stress myocardial CTP at Guangdong Provincial People′s Hospital from September 2023 to February 2024 were recruited. Image data of all enrolled patients were reconstructed using ASiR-V 50%, ASiR-V 80%, medium-intensity DLIR(DLIR-M), and high-intensity DLIR(DLIR-H), respectively. Regions of interest were selected in the left ventricular cavity, interventricular septum, and left ventricular lateral wall for measurement of CT values and standard deviations (SD), and calculation of signal to noise ratio (SNR) and contrast to noise ratio (CNR). Matlab was utilized to obtain the differences (d) and slopes (s) of CT value changes at four left ventricular myocardial edges for objective edge sharpness evaluation. Two radiologists subjectively scored the images for noise, natural appearance, and edge sharpness. In case of disagreement between the two radiologists, a third senior radiologist′s score was decisive. Left ventricular myocardial blood flow (MBF) of ASiR-V and DLIR images with lower SD, higher SNR and CNR were calculated, respectively. When the normal distribution was satisfied, the independent sample t test was used for comparison between two groups, and the random block design ANOVA was used for comparison between multiple groups. And analysis was conducted using Friedman test for non-normally distributed data, and Bonferroni correction for pairwise comparisons. Results:There were statistically significant differences in SD, SNR, and CNR among the four images in the interventricular septum and left ventricular lateral wall (all P<0.05), with ASiR-V 80% and DLIR-H demonstrating the lowest SD, highest SNR and CNR, and the subjective image noise score. Statistically significant differences were observed in d and s for the four left ventricular myocardial edges (all P<0.05), with DLIR-M and DLIR-H exhibiting the best objective edge sharpness [5 (5, 5)], and ASiR-V 80% the worst [3.5 (3, 4)]. In the subjective scores for natural appearance, DLIR-M and DLIR-H received the highest scores [5 (5, 5)], while ASiR-V 80% received the lowest scores [3 (3, 4)], with statistically significant differences (all P<0.05). There was no statistically significant difference in MBF values calculated from ASiR-V 80% and DLIR-H images (all P>0.05). Conclusions:The SD value, SNR and CNR of dynamic stress myocardial CTP images reconstructed by DLIR-H are equivalent to ASiR-V 80%, and using DLIR-H can improve the edge sharpness of left ventricular myocardium without affecting the calculation of MBF.