Disrupted bone morphogenetic protein type 2 receptor (BMPR2) signaling in endothelial cells drives pulmonary arterial hypertension (PAH). However, targeted recovery of this signaling pathway by lipid nanoparticles (LNPs) has not been explored as a therapy. Here, we employed Design of Experiments to optimize the delivery efficiency of LNPs targeting pulmonary endothelial cells developed by our laboratory, resulting in a remarkable 35-fold increase in a simplified three-component formulation without helper lipids. Administration of BMPR2 mRNA LNPs effectively reversed established PAH in two experimental rat models (monocrotaline or SU5416-hypoxia) by reversing pulmonary vascular remodeling. Specifically, BMPR2 mRNA LNPs replenished the expression of BMPR2 protein and subsequently activated downstream pathways, as confirmed by elevated levels of p-SMAD1/5/9 and ID1 proteins. The relief of pulmonary arterial occlusion was demonstrated by thinned pulmonary arterial media and decreased proportion of full muscularized vessels. Alleviation of right ventricular hypertrophy was indicated by declined Fulton index, the cross-sectional area of right ventricular cardiomyocytes as well as collagen deposition. Effective recovery of right ventricular function was evidenced by increased pulmonary artery flow acceleration time/pulmonary artery flow ejection time ratio. These findings underscore the potential of restoring BMPR2 signaling through pulmonary endothelial cell-specific LNPs for treating PAH.

OBJECTIVES: To analyze the differential expression and biological functions of circRNAs in the anterior lens capsules of high myopic patients with cataract and their pathogenic roles in the development of this condition. METHODS: Anterior lens capsule specimens were collected intraoperatively from 36 patients with age-related cataract (ARC) and 36 high myopic patients with cataract. Among these, 18 specimens from each group were selected for whole transcriptome sequencing and biological analysis, and the remaining 36 specimens were used for validation of circPDGFRA, circFOXJ3, hsa_circ_0004767, hsa_circ_0007528, ciCRIM1, circMAN1A2, circSLC5A3, and circPTK2 expressions using RT-qPCR. hsa_circ_0007528 was selected for cell experiments to examine its effects on proliferation, migration, and apoptosis of lens epithelial cells (LECs). RESULTS: A total of 16 192 circRNAs were detected in the specimens from both groups, among which 62 circRNAs were differentially expressed (29 upregulated and 33 downregulated). GO and KEGG analyses revealed that the differentially expressed circRNAs were primarily localized in the cytoplasm, nucleoplasm, and endoplasmic reticulum, and were involved in signaling pathways associated with Gap junction and the PI3K-Akt, NF-κB, Jak-STAT, HIF-1, and MAPK signaling pathways. The ceRNA network predicted multiple target genes. RT-qPCR validation results were consistent with the sequencing data. In the LECs, upregulation of hsa_circ_0007528 significantly inhibited cell proliferation and migration and obviously promoted cell apoptosis. CONCLUSIONS The expression profile of circRNAs in the anterior lens capsule of high myopic patients with cataract differs from that of ARC patients. Upregulation of hsa_circ_0007528 inhibits LEC proliferation and migration and promotes cell apoptosis.
Humans ; Cataract/complications* ; RNA, Circular ; Myopia/genetics* ; Apoptosis ; Cell Proliferation ; Epithelial Cells ; Cell Movement ; Anterior Capsule of the Lens/metabolism* ; Male ; Female

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Medical fiber endoscope is one kind of medical device that utilizes fiber technique to realize visual detection for internal organs or cavities.In clinical applications,medical fiber endoscope not only need to complete fiber optic imaging but also need possess the functions of delivering water and air,and operating device.Therefore,its routine management and maintenance for fault is more and more payed attention by the staffs of using medical fiber endoscope in department.The system of delivering water and air is a key structure for some of medical fiber endoscopes,which has higher maintenance matters and frequency of maintaining fault.Based on the above reasons,this research analyzed the working principle of medical fiber endoscopes,and summarized the ideas and methods of repairing common faults through focused on the structural composition of delivering system of water and air of medical fiber endoscopes,so as to improve the management level for this type of medical device.

Objective:To assess the presence of chemotherapy-induced abnormal myocardial perfusion using SPECT myocardial perfusion imaging (MPI) in patients with malignant hematologic diseases before hematopoietic stem cell transplantation (HSCT), and to explore its predictive value for mid-to-long-term mortality risk after transplantation.Methods:From March 2016 to August 2022, 139 patients with malignant hematologic diseases (80 males, 59 females; age (45.7±13.0) years) who underwent resting MPI to assess the presence of chemotherapy-induced abnormal myocardial perfusion before HSCT at the First People′s Hospital of Changzhou were prospectively included. Baseline-data were collected and patients were followed up for mid-to-long-term (≥100d) adverse outcomes after transplantation. Overall survival (OS) of each patient was recorded. The χ2 test and independent-sample t test were used for data analysis. Cox regression analysis was utilized to identify independent risk factors affecting OS. Kaplan-Meier method and log-rank test were used for survival analysis. Results:The median follow-up time of 139 patients was 41.6(19.5, 65.6) months, with all-cause mortality of 28.8%(40/139), and the cardiovascular mortality was 42.5%(17/40). The prior cardiotoxic therapies rate (anthracycline dose ≥250mg/m 2) was higher in the death group compared to that in the survival group (15.0% (6/40) vs 5.1% (5/99); χ2=3.87, P=0.049). Pre-transplant abnormal myocardial perfusion rate was also higher in the death group compared to that in the survival group (55.0%(22/40) vs 22.2%(22/99); χ2=15.19, P<0.001). But pre-transplant left ventricular ejection fraction (LVEF) was lower in the death group compared to that in the survival group ((60.4±5.2)% vs (62.9±3.9)%; t=-3.07, P=0.003). Cox multivariate regression analysis showed that the abnormal myocardial perfusion indicated by MPI before transplantation was an independent risk factor affecting OS after HSCT in patients with malignant hematologic diseases (hazard rate ( HR)=2.70, 95% CI: 1.33-5.46, P=0.006). Kaplan-Meier analysis showed the 1-, 2-, 5-year OS rates of patients with the abnormal myocardial perfusion and the normal myocardial perfusion were 73.5%, 69.1%, 49.2% and 94.6%, 89.9%, 81.6%, respectively, with significant difference ( χ2=17.01, P<0.001). Conclusions:Patients with abnormal myocardial perfusion detected by MPI before HSCT for malignant hematologic diseases have a poorer prognosis, characterized by lower post-transplantation OS rates. The utilization of MPI for assessing abnormal myocardial perfusion before transplantation in patients with malignant hematologic diseases can aid in predicting the mid-to-long-term mortality risk after transplantation.

Objective:To explore the incidence of Crohn's disease-like pouch (CDP) after ileal pouch-anal anastomosis (IPAA) and analyze the clinical characteristics and risk factors in ulcerative colitis (UC) patients.Methods:A retrospective cohort study was conducted. One hundred and eighty-two UC patients undergoing IPAA at Jinling Hospital affiliated to Nanjing University from November 2003 to November 2024 were enrolled. Patients were categorized into CDP and non-CDP groups. Clinical features and prognosis were compared, and multivariate Cox regression was performed to identify risk factors for CDP.Results:A total of 182 UC patients were included, with a median follow-up time of 45.00 (30.00, 75.25) months. The patients were divided into two groups based on the diagnosis of CDP, with 23 patients (12.64%) in the CDP group and 159 patients (87.30%) in the non-CDP group. Compared to the non-CDP group, patients in the CDP group had a lower body mass index (BMI) ( Z=-2.87, P=0.004), and were more likely to develop early postoperative pouchitis (χ 2=4.50, P=0.034). The median time from ileostomy closure to the development of CDP was 12 .00 (6.00, 28.00) months. Cox regression analysis showed that a preoperative BMI<18.5 kg/m 2 ( HR=2.84, 95% CI: 1.24~6.49, P=0.013) and early postoperative pouchitis ( HR=3.11, 95% CI: 1.22~7.93, P=0.018) were associated with an increased risk of CDP. Conclusions:Preoperative low BMI and pouchitis occurring within 3 months postoperatively are significant risk factors for CDP. Close monitoring and early intervention are recommended for high-risk patients.

Objective:To explore the time variations of the influence of the ultra-high dose rate irradiation (FLASH irradiation, FLASH-IR) and conventional dose rate irradiation (CONV-IR) of electron beams under different doses on the energy metabolism of triple-negative breast cancer cells MDA-MB-231.Methods:The basal metabolism of the MDA-MB-231 cells and normal breast epithelial cells MCF-10A was compared using a Seahorse XF Pro Metabolic Analyzer. Based on an irradiation platform with a thermionic cathode electron accelerator (6 MeV), the MDA-MB-231 cells were exposed to FLASH-IR (106 Gy/s) and CONV-IR (0.1 Gy/s) at 2 and 14 Gy, respectively. Meanwhile, a sham irradiation group was established under identical culture conditions. The mitochondrial metabolism and glycolytic metabolism of the cells at 4, 24, and 48 h post-irradiation were analyzed.Results:Compared to the MCF-10A cells, the MDA-MB-231 cells exhibited a greater reliance on glycolytic metabolism. Compared to those of the sham irradiation group, MDA-MB-231 cells in the 2 Gy CONV-IR group showed up-regulated ATP-linked respiration at 4, 24, and 48 h post-irradiation ( t = 2.69-3.70, P < 0.05). Their glycolytic level and glycolytic capacity were up-regulated only at 4 h post-irradiation and were down-regulated at 48 h ( t = 2.79, -4.44, P < 0.05). In contrast, there was no statistically significant difference in these indicators between the FLASH-IR and CONV-IR groups ( P > 0.05). However, the proton leak of the MDA-MB-231 cells in the FLASH-IR group was relatively down-regulated at 4 h post-irradiation and was significantly up-regulated at 24 h and 48 h post-irradiation compared with the CONV-IR group ( t = -2.45, 3.19, 6.51, P < 0.05). At 14 Gy, the MDA-MB-231 cells in the CONV-IR group showed progressively increased mitochondrial and glycolytic metabolism across all time points ( t = 2.48-12.14, P < 0.05). Notably, compared with the CONV-IR group, the MDA-MB-231 cells in the FLASH-IR group exhibited more significantly up-regulated basal respiration, ATP-linked respiration, and non-mitochondrial oxygen consumption ( t = 2.56-6.51, P < 0.05), as well as a higher glycolytic capacity at 24 h post-irradiation ( t = 2.86, P < 0.05). Conclusions:Low-dose (2 Gy) FLASH-IR induces relatively up-regulated proton leak in breast cancer cells MDA-MB-231 at 24 h post-irradiation. In contrast, under high-dose (14 Gy) FLASH-IR, the MDA-MB-231 cells show more pronounced mitochondrial metabolic stress and a higher demand for energy metabolism.

Objective:To investigate the association between serum ferritin levels, erythrocyte parameters, and the risk of developing type 2 diabetes mellitus.Methods:A total of 11 408 subjects aged 40 to 70 years who underwent physical examinations at a hospital in Qingdao from 2014 to 2015 were enrolled in the study. Data were collected through questionnaires, physical examinations, and assessments of blood biochemical indices, serum ferritin, and related erythrocyte parameters. A multivariate logistic regression model was employed to analyze the relationship of serum ferritin and red cell parameters with type 2 diabetes mellitus, while a linear regression model was utilized to examine the association between serum ferritin, red cell parameters and fasting blood glucose levels.Results:The median ( Q1, Q3) age of the subjects was 51 (45, 58) years, with 55.3% (6 305) being male. The prevalence of type 2 diabetes in women was 5.9% (300/5 103), which was lower than that in men [13.0% (817/6 305)] ( P<0.001).After adjusting for age, sex, body mass index (BMI), smoking status, alcohol consumption, and family history of diabetes, serum ferritin levels were found to be positively associated with both type 2 diabetes and fasting blood glucose levels, with OR (95% CI) and β(95% CI) values of 1.70 (1.37, 2.11) and 0.002 (0.002, 0.003), respectively. Additionally, hemoglobin, red blood cell count, and hematocrit were positively correlated with type 2 diabetes and fasting blood glucose, with OR (95% CI) values of 1.72 (1.32, 2.24), 1.91 (1.51, 2.41), and 1.52 (1.17, 1.97), and β (95% CI) values of 0.008 (0.006, 0.011), 0.365 (0.286, 0.445), and 2.543 (1.564, 3.521), respectively. Conversely, mean erythrocyte volume was negatively associated with type 2 diabetes and fasting blood glucose, with OR (95% CI) and β (95% CI) values of 0.54 (0.45, 0.66) and -0.017 (-0.023, -0.011), respectively (all P values<0.001). Conclusion:The findings indicate that serum ferritin and related erythrocyte parameters are significantly correlated with the risk of type 2 diabetes mellitus and fasting blood glucose levels.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.