Objective To propose a lightweight end-to-end neural network model for automated Korotkoff sound phase recognition and subsequent blood pressure (BP) measurement, aiming to improve measurement accuracy and population adaptability. Methods We developed a streamlined architecture integrating depthwise separable convolution (DSConv), multi-head attention (MHA), and bidirectional gated recurrent unit (BiGRU). The model directly processes Korotkoff sound time-series signals to identify auscultatory phases. Systolic BP (SBP) and diastolic BP (DBP) were determined using phase Ⅰ and phaseⅤdetections, respectively. Given the clinical relevance of phase Ⅳ for specific populations (e.g., children and pregnant women, denoted as DBPⅣ), BP values from this phase were also recorded.Results The study enrolled 106 volunteers with 70 males and 36 females at mean age of (40.0±12.0) years. The model achieved 94.25% phase recognition accuracy. Measurement errors were (0.1±2.5) mm Hg (SBP), (0.9±3.4) mm Hg (DBPⅣ), and (0.8±2.6) mm Hg (DBP). Conclusion Our method enables precise phase recognition and BP measurement, demonstrating potential for developing population-adaptive blood pressure monitoring systems.

BACKGROUND:Psoralen has a strong anti-osteoporotic activity and may have a restorative effect on chemotherapy-induced osteoporosis. OBJECTIVE:To explore the restorative effect of psoralen on the osteogenic differentiation of bone marrow mesenchymal stem cells in mice inhibited by cyclophosphamide and its mechanism. METHODS:C57BL/6 mouse bone marrow mesenchymal stem cells were isolated and cultured.Effect of psoralen on viability of bone marrow mesenchymal stem cells was detected by MTT assay.Osteogenic induction combined with alkaline phosphatase staining was used to determine the optimal dose of psoralen to restore the osteogenic differentiation of bone marrow mesenchymal stem cells inhibited by cyclophosphamide.The mRNA expression levels of Runx2,alkaline phosphatase,Osteocalcin,osteoprotegerin,and Wnt/β-catenin signaling pathway-related genes Wnt1,Wnt4,Wnt10b,β-catenin,and c-MYC were measured by RT-qPCR at different time points under the intervention with psoralen.The protein expression of osteogenic specific transcription factor Runx2 and Wnt/β-catenin signaling pathway related genes Active β-catenin,DKK1,c-MYC,and Cyclin D1 was determined by western blot assay at different time points under the intervention with psoralen. RESULTS AND CONCLUSION:(1)There was no significant effect of different concentrations of psoralen on the viability of bone marrow mesenchymal stem cells.The best recovery of the inhibition of osteogenic differentiation of bone marrow mesenchymal stem cells caused by cyclophosphamide was under the intervention of psoralen at a concentration of 200 μmol/L.(2)Psoralen reversed the reduction in osteogenic differentiation marker genes Runx2,alkaline phosphatase,Osteocalcin and osteoprotegerin mRNA expression and Runx2 protein expression in bone marrow mesenchymal stem cells caused by cyclophosphamide conditioned medium.(3)Psoralen reversed the decrease in Wnt/β-catenin pathway-related genes Wnt4,β-catenin,c-MYC mRNA and Active β-catenin,c-MYC,and Cyclin D1 protein expression and the increase in DKK1 protein expression in bone marrow mesenchymal stem cells caused by cyclophosphamide conditioned medium.(4)The results showed that cyclophosphamide inhibited osteogenic differentiation of bone marrow mesenchymal stem cells in mice,and psoralen had a restorative effect on it.The best intervention effect was achieved at a concentration of 200 μmol/L psoralen,and this protective effect might be related to the activation of Wnt4/β-catenin signaling pathway by psoralen.

OBJECTIVE To evaluate the cost-effectiveness of dapagliflozin and empagliflozin in the treatment of type 2 diabetic kidney disease from the perspective of healthcare system in China. METHODS Based on the data from the two multicenter clinical trials， DECLARE-TIMI 58 and EMPA-REG OUTCOME， a Markov model was constructed according to the urinary albumin-to-creatinine ratio （UACR） of the patients with type 2 diabetic kidney disease with a cycle of 1 year， simulating until 99% of patients died. The model outputs were total costs and quality-adjusted life year （QALY）. The cost-effectiveness of the two treatment regimens was assessed by comparing their incremental cost-effectiveness ratio （ICER） and the willingness-to-pay threshold （WTP，set at three times China’s 2023 per capita gross domestic product， i.e.， 268 074 yuan/QALY）. Additionally， oneway sensitivity analysis and probabilistic sensitivity analysis were performed to test the robustness of the base analysis results. RESULTS Compared with dapagliflozin， the ICER for empagliflozin regimen was 44 334.82 yuan/QALY， which was below the WTP ， indicating its cost-effectiveness. The results of the oneway sensitivity analysis indicated that the incidence of non-fatal myocardial infarction in both groups and the utility values associated with the microalbuminuria state had the most significant impact on the outcomes， but did not change the base-case conclusion. The probabilistic sensitivity analysis indicated that the results of the base-case analysis were robust. CONCLUSIONS With a WTP of three times China’s per capita gross domestic product in 2023， empagliflozin is more cost-effective than dapagliflozin in treating type 2 diabetic kidney disease.

Aging is an inevitable, physiological process of the human body, leading to deterioration in bodily function and increased susceptibility to various diseases. Effective endogenous therapeutic strategies for anti-aging and related diseases remain limited. Exercise confers multifaceted benefits to physical health by augmenting osteogenic and myogenic processes, enhancing cardiovascular and nervous system function, and attenuating chronic inflammation. Angiogenesis and lymphangiogenesis play pivotal roles in anti-aging, tissue repair, and immune response modulation, underscoring their potential as therapeutic targets for age-related diseases. Modulating angiogenic and lymphangiogenic pathways may provide a promising strategy for mitigating vascular decline and immune system dysfunction associated with aging. Exercise-induced endogenous angiogenesis and lymphangiogenesis can exert beneficial effects on physiological function, thereby representing a potential therapeutic paradigm for combating age-related decline and diseases. This review offers a thorough summary of the present knowledge regarding angiogenesis and lymphangiogenesis induced by exercise, encompassing the underlying mechanisms and the effects in different organs. In addition, it explores the potential of physical activity as a non-pharmacological intervention for anti-aging strategies and disease management, offering novel insights into the intersection of physical activity, aging, and disease progression.
Humans ; Lymphangiogenesis/physiology* ; Aging/physiology* ; Exercise/physiology* ; Animals ; Neovascularization, Physiologic/physiology* ; Angiogenesis

Traditional Chinese medicine of Polygonum cuspidatum has been utilized in China for thousands of years. Its primary active compound, polydatin, exhibits a variety of pharmacological effects including the regulation of glucose and lipid metabolism, suppression of cough and asthma, as well as antibacterial and anti-inflammatory properties. However, conventional methods for polydatin production are inadequate to satisfy the market demand. This study aims to explore the green and efficient preparation of polydatin. With resveratrol as the substrate, we efficiently synthesized polydatin by using the triple mutant IGW (Y14I/I62G/M315W) of the glycosyltransferase UGT_BS based on a strategy of two-enzyme coupled with one-pot and realized the recycling of uridine diphosphate-glucose (UDPG). The conditions of the two-enzyme reaction were optimized. Under the conditions of 35 ℃, pH 8.0, IGW: AtSuSy1 activity ratio of 3:4, dimethyl sulfoxide (DMSO) volume fraction of 5%, uridine diphosphate (UDP) concentration of 0.10 mmol/L, and sucrose concentration of 0.6 mol/L, the conversion of 2 mmol/L resveratrol reached 80.6% within 1 h, and the proportion of polydatin was over 90%. This study achieved the recycling of UDPG via a two-enzyme coupling system and shortened the reaction time. At the same time, the fed-batch strategy was adopted, and the yield of polydatin reached 6.28 g/L after 24 h in the one-pot coupling reaction, which provided a new strategy for green and efficient preparation of polydatin.
Stilbenes/chemistry* ; Glucosides/biosynthesis* ; Resveratrol ; Fallopia japonica/chemistry* ; Glycosyltransferases/genetics*

Objective To investigate the expression of dermatopontin(DPT)in abdominal aortic aneurysm(AAA)and to explore the mechanism in promoting AAA progression.Methods Differential gene expression(DEG)and GO-KEGG pathway enrichment were used to assess DPT expression level and related pathways in AAA.AAA tissue samples were collected from patients undergoing open surgical repair at Beijing Hospital(experimental group,n=3),while control aortic tissues were collected from kidney transplant donors(n=3).Immun-ohistochemistry and immuno-fluorescence staining were performed to validate DPT protein expression differences in AAA tissues.Masson staining microscopy was used to evaluate fibrosis level.Human aortic smooth muscle cells(HASMCs)were divided into control(Ctrl)and lipopolysaccharide(LPS)-treated groups(n=3).RT-qPCR,ELISA,and immu-nocytochemistry(ICC)were used to measure DPT expression level.HASMCs were further divided into control(Ctrl)and recombinant human DPT-treated groups with 3 cases in each.RT-qPCR was performed to detect the ex-pression of interleukin-1α(IL-1α),interleukin-1β(IL-1β),collagen type Ⅰ alpha 1 chain(COL1A1),matrix metalloproteinase-2(MMP2),and matrix metalloproteinase-9(MMP9).Cell adhesion assays were conducted to ex-amine the role of integrin α3 and integrin β1 in HASMC adhesion.Results DPT was highly expressed in human AAA tissues(P＜0.01).LPS induced DPT expression and secretion in HASMCs(P＜0.05).DPT promoted IL-1α(P＜0.001)and IL-1β(P＜0.01)expression through a positive feedback mechanism while suppressed COL1A1(P＜0.001)production.DPT enhanced HASMC adhesion via the integrin α3β1 receptor(P＜0.001).Conclusions DPT promotes AAA progression by activating IL-1α/IL-1β inflammatory cytokines and inhibits COL1A1-mediated extra cellular matrix(ECM)remodeling.Integrin α3β1 is potentially involved in the regulation process.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.