Artificial intelligence （AI） is gradually being applied in the field of decision-making support for the daily care of the older adults with disabilities. However， due to their limited cognitive functions， information asymmetry with medical staff and technical parties， and a certain degree of emotional deprivation， the older adults with disabilities are in a structurally vulnerable position. Against this background， several ethical dilemmas arise when AI technology intervenes in care decision-making. First， the informed consent process is difficult to genuinely implement. Second， algorithms based on average models tend to ignore individual differences， leading to “de-personalization” of services. Third， over-reliance on technology may further weaken humanistic care， thereby undermining the individual dignity of the older adults with disabilities. Fourth， in the care decision-making involving the joint participation of the older adults with disabilities， caregivers， medical teams， and AI systems， the boundaries of responsibility among all parties remain unclear， making it difficult to assign accountability when adverse outcomes occur. Drawing on the theories of vulnerability ethics， interactive ethics， and care ethics， this paper proposes a “vulnerability-interaction-care” path and put forward three-tiered countermeasures. The first was baseline safeguards， preventing the exploitation of the vulnerability of the older adults with disabilities and their caregivers， and requiring further safeguards for their dignity. The second was process protection， enhancing transparency and accountability within the human-machine collaboration framework， as well as establishing a multi-party consultation mechanism. The third was capacity empowerment， improving the subjectivity of the older adults with disabilities through age-appropriate interaction， structured expression of intentions， and caregiver participation.

ObjectiveTo evaluate the clinical efficacy and safety of Tengshen Granules in the treatment of grade 1 hypertension with the syndrome of severe liver heat and hyperactive Yang combined with mild kidney Yin deficiency. MethodsA total of 120 patients with grade 1 hypertension presenting with severe liver heat and hyperactive Yang combined with mild kidney Yin deficiency were enrolled in a randomized， double-blind， placebo-controlled， parallel-group clinical trial. Patients were randomly assigned to the observation group （Tengshen granules） and the control group （placebo）， with 60 cases in each group. On the basis of lifestyle intervention， treatment was administered for 8 weeks followed by a 2-month follow-up. During the study period， traditional Chinese medicine （TCM） syndrome scores， blood pressure， antihypertensive efficacy， blood pressure control rate， and other indicators were recorded and analyzed， and safety was evaluated. ResultsA total of 114 patients completed the trial， including 57 in the control group and 57 in the observation group. Compared with baseline， TCM syndrome scores， systolic blood pressure， and diastolic blood pressure in the observation group were significantly reduced after treatment （P<0.01）. Compared with the control group after treatment， systolic blood pressure in the observation group was lower from week 4 of medication （P<0.05）， and this difference persisted until 2 months after drug discontinuation. For diastolic blood pressure， the observation group was superior to the control group at week 8 （P<0.01）， with no statistically significant differences at other time points. Regarding syndrome improvement， the TCM syndrome scores for severe liver heat and hyperactive Yang combined with mild kidney Yin deficiency showed significant improvement at weeks 6 and 8 of treatment， with the observation group superior to the control group （P<0.05）. During the 1-month follow-up after drug discontinuation， the syndrome scores in the observation group remained lower than those in the control group （P<0.01）. The total effective rate of antihypertensive efficacy in the observation group was higher than that in the control group （χ²=11.389， P<0.05）. In addition， the level of urinary microalbumin in the observation group was lower after treatment than before treatment （P<0.05）. ConclusionTengshen granules demonstrate significant clinical efficacy and good safety in the treatment of grade 1 hypertension with severe liver heat and hyperactive Yang combined with mild kidney Yin deficiency. They can effectively reduce blood pressure and improve related TCM syndrome manifestations.

ObjectiveTo evaluate the clinical efficacy and safety of Tengshen Granules in the treatment of grade 1 hypertension with the syndrome of severe liver heat and hyperactive Yang combined with mild kidney Yin deficiency. MethodsA total of 120 patients with grade 1 hypertension presenting with severe liver heat and hyperactive Yang combined with mild kidney Yin deficiency were enrolled in a randomized， double-blind， placebo-controlled， parallel-group clinical trial. Patients were randomly assigned to the observation group （Tengshen granules） and the control group （placebo）， with 60 cases in each group. On the basis of lifestyle intervention， treatment was administered for 8 weeks followed by a 2-month follow-up. During the study period， traditional Chinese medicine （TCM） syndrome scores， blood pressure， antihypertensive efficacy， blood pressure control rate， and other indicators were recorded and analyzed， and safety was evaluated. ResultsA total of 114 patients completed the trial， including 57 in the control group and 57 in the observation group. Compared with baseline， TCM syndrome scores， systolic blood pressure， and diastolic blood pressure in the observation group were significantly reduced after treatment （P<0.01）. Compared with the control group after treatment， systolic blood pressure in the observation group was lower from week 4 of medication （P<0.05）， and this difference persisted until 2 months after drug discontinuation. For diastolic blood pressure， the observation group was superior to the control group at week 8 （P<0.01）， with no statistically significant differences at other time points. Regarding syndrome improvement， the TCM syndrome scores for severe liver heat and hyperactive Yang combined with mild kidney Yin deficiency showed significant improvement at weeks 6 and 8 of treatment， with the observation group superior to the control group （P<0.05）. During the 1-month follow-up after drug discontinuation， the syndrome scores in the observation group remained lower than those in the control group （P<0.01）. The total effective rate of antihypertensive efficacy in the observation group was higher than that in the control group （χ²=11.389， P<0.05）. In addition， the level of urinary microalbumin in the observation group was lower after treatment than before treatment （P<0.05）. ConclusionTengshen granules demonstrate significant clinical efficacy and good safety in the treatment of grade 1 hypertension with severe liver heat and hyperactive Yang combined with mild kidney Yin deficiency. They can effectively reduce blood pressure and improve related TCM syndrome manifestations.

From the perspective of biopolitics， brain organoids represent an emerging technological field for life governance， embodying the governmentality logic of biopower and posing challenges to traditional ethical systems and bodily categories. Under the effect of the Foucauldian medical gaze and disciplinary mechanisms， brain organoid technology may objectify life processes and give rise to new forms of subjectivation， with risk governance standing as one of the core logics behind the ethical regulation of brain organoids. This paper further compared existing regulatory paths in China， the United States， and Europe to reveal the underlying disparities in political cultures and power distribution structures. On this basis， it is proposed to introduce institutional proposals into ethical regulation， such as the formulation of ethical regulation， the implementation of ethical review， and the setting of identifiable risks， to balance the governance tension between innovative exploration and disciplinary mechanisms.

Systemic chronic inflammation associated with advancing age is closely linked to the onset and progression of multiple age-related diseases. This persistent inflammatory state, commonly termed inflammaging, reflects complex interactions between accumulated cellular damage and dysregulated immune responses. Inflammasomes are multiprotein complexes of the innate immune system that respond to cellular stress and damage and amplify inflammatory signaling. Their sustained or recurrent activation may contribute to the establishment and maintenance of inflammaging. This review focuses on the NLRP3 inflammasome and summarizes its activation mechanisms, regulatory pathways, and pathological significance within the aging microenvironment. Particular attention is given to neurodegenerative diseases, osteoarthritis, atherosclerosis, and type 2 diabetes, emphasizing shared activation mechanisms and tissue-specific effects. Although initiating stimuli differ among these conditions, several molecular events can contribute to NLRP3 inflammasome activation. Priming mediated by nuclear factor‑κB (NF‑κB) promotes the expression of NLRP3 and pro-interleukin-1β, whereas lysosomal damage, mitochondrial dysfunction, reactive oxygen species accumulation, mitochondrial DNA release, and potassium efflux can participate in activation pathways. These events are interconnected rather than obligatory sequential steps in every setting. Inflammasome assembly promotes caspase-1 activation, which facilitates interleukin-1β and interleukin-18 maturation and gasdermin D cleavage, potentially leading to pyroptosis. The relative contributions of these processes depend on cell type, tissue context, and disease stage. Within aging tissues, persistent damage signals and impaired cellular homeostasis may favor repeated inflammasome activation, establishing a cycle of inflammatory amplification and further tissue injury. However, the pathological consequences vary across organs. In neurodegenerative diseases, inflammasome signaling is associated with neuroinflammation and neuronal vulnerability; in osteoarthritis, it may contribute to joint inflammation and cartilage degeneration. In atherosclerosis, it is implicated in vascular inflammation and plaque progression, whereas in type 2 diabetes, it is linked to metabolic inflammation and impaired glucose homeostasis. These distinctions underscore the importance of interpreting shared molecular mechanisms within specific tissue environments. The review further discusses the therapeutic potential of targeting inflammasomes to mitigate inflammaging and associated disease processes. Strategies include inhibiting NLRP3 activation, modulating upstream stress and priming pathways, and limiting downstream inflammatory signaling or pyroptotic cell death. By interrupting shared mechanisms of inflammatory amplification, these approaches may offer opportunities for coordinated intervention across multiple age-related disorders. Nevertheless, mechanistic overlap does not imply uniform therapeutic responses, and benefits observed in experimental models should not be equated with established clinical efficacy or evidence of delayed human aging.Successful clinical translation will require careful consideration of disease stage, tissue specificity, treatment timing, and the consequences of prolonged interference with innate immune defenses. Long-term safety is particularly important for older populations and preventive applications. The limited availability of validated biomarkers of inflammasome activity also complicates patient stratification, assessment of target engagement, and monitoring of therapeutic responses. Future research should clarify causal relationships, identify contexts in which inflammasome inhibition is most beneficial, and establish reliable translational endpoints. Overall, inflammasomes represent an important link between aging-associated damage and chronic inflammatory amplification, supporting their investigation as shared targets for early intervention in multiple age-related diseases, while highlighting the need for disease-specific evaluation and rigorous assessment of benefits and risks.

Objective: To analyze the serological characteristics of anti-Mur antibodies and investigate the distribution frequency of the Mur antigen among voluntary blood donors in Shiyan, thereby providing a basis for guiding clinical transfusion and establishing a Mur blood type database. Methods: ABO blood grouping of donors and patients was performed using an automated blood typing analyzer and the gel card method, respectively. Unexpected antibody screening and identification were performed using the saline, tube anti-human globulin, and polybrene methods. The specificity of anti-Mur antibodies was confirmed using Fisher's exact probability test. Plasma treated with 2-mercaptoethanol was used to distinguish IgM and IgG antibodies. IgM and IgG anti-Mur titers were determined by the saline tube method and the anti-human globulin tube method, respectively, at 4℃, room temperature, and 37℃. A total of 1 659 donor red blood cell samples were initially screened for the Mur antigen phenotype using three samples of human-derived anti-Mur plasma by the micro-tube method. Donors who tested positive for Mur antigen were further tested by the direct antiglobulin test (DAT); those with negative results were confirmed for Mur antigen by the gel card and polybrene methods. Results: Three blood samples were identified to contain mixed IgG and IgM anti-Mur antibodies. The titers of both IgM and IgG anti-Mur antibodies were highest at 4℃, intermediate at room temperature, and lowest at 37℃. The positive frequency of the Mur antigen among voluntary blood donors in Shiyan was 1.99% (33/1 659). Conclusion: anti-Mur antibodies were detected in both blood donors and patients in our region. The Mur antigen shows a certain distribution frequency among voluntary blood donors in Shiyan. Screening for the Mur blood type and establishing a corresponding database could enhance transfusion safety.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Objective To construct a cloud-based platform for healthcare-associated infection(HAI)management based on multi-source data fusion and data visualization,and evaluate its application effectiveness.Methods A ter-tiary first-class cancer hospital was selected as the research object.Aligned with graded hospital accreditation stan-dards and based on grid-based management and responsibility zone mode,a platform was constructed in 2023 with low-code technology,multi-source data fusion,and visualization function.The self-comparison method was adopted to compare occurrence of HAI before and after the operation of the platform.A questionnaire survey was adopted to assess the experience and workload reduction feelings of full-time and part-time infection surveillance and control profe-ssionals using the platform.Results 81.56％of the surveyed respondents believed that the platform could re-duce the workload of infection surveillance and control.Compared with before the trial operation,the hospital achieved an annual reduction of 11 200 yuan in paper costs,with associated labor savings of approximately 4 482.5 hours.The incidence of HAI cases in the whole hospital decreased from 0.67％to 0.45％.The pathogen detection rate before therapeutic use of antimicrobial agents increased from 51.26％to 71.54％.Differences were both statis-tically significant(both P＜0.05).The detection number and proportion of carbapenem-resistant Pseudomonas aeruginosa(CRPA)and extended-spectrum β-lactamase-producing Klebsiella pneumoniae(ESBL-KP)in HAI cases decreased(54.55％vs 36.47％and 51.14％vs 32.50％,respectively,both P＜0.05).Conclusion The construc-tion and application of smart HAI management cloud-based platform can reduce cost,improve management quality,and provide a theoretical basis and technical paradigm for the construction of smart HAI management system.

Aim To elucidate whether Astragaloside Ⅳcould ameliorate pathological myocardial hypertrophy and fibrosis via the EGR1-SIRT1-PPARα-SCAD signa-ling pathway in TAC mice.Methods After randomi-zing mice into groups,the Sham+AS-Ⅳ group and TAC+AS-Ⅳ group were intragastrically administered 20 mg·kg-1AS-Ⅳ once daily,whereas the Sham+NS group and TAC+NS group were given equivalent saline.Six weeks post-surgery,an evaluation of cardiac function was conducted,heart weight index was compu-ted,morphological alterations in heart were noted,vari-ations in collagen and myocardial hypertrophy indexes were analyzed,ATP content,free fatty acid content,hydroxyproline content,SCAD expression,and enzyme activity were measured,and an initial investigation into the protein expression of EGR1-SIRT1-PPARα-SCAD in myocardial tissues was undertaken.Results After AS-Ⅳ intervention,the heart weight index of TAC mice decreased(P＜0.01),LVAWd,LVAWs,LVPWd and LVPWs values decreased(P＜0.01,P＜0.05),EF％and FS％values increased(all P＜0.01),myocardial hypertrophy markers and collagen area decreased,FFA content,HYP content and collagen expression de-creased(all P＜0.01),SCAD enzyme activity and ex-pression increased(P＜0.01,P＜0.05),and ATP content increased(P＜0.01).The expression of EGR1 protein decreased,and the expression of SIRT1 and PPARα protein increased(all P＜0.01).Conclu-sions AS-Ⅳ may improve fatty acid oxidation via the EGR1-SIRT1-PPARα-SCAD signaling pathway,thereby ameliorating pathological myocardial hypertrophy and fibrosis in TAC model mice.

Objective This study explores the clinical correlation between different low-density lipoprotein cholesterol(LDL-C)levels and prognosis,providing evidence-based guidance for the development of personalized lipid-lowering goals.Methods Patients who underwent elective percutaneous coronary intervention(PCI)treatment at Beijing Anzhen Hospital from January 2020 to June 2023 and received lipid-lowering therapy with the addition of Evolocumab were selected.Based on the results of blood lipid rechecks 3 to 6 months after surgery,the patients were divided into five groups:low-density lipoprotein＜0.5 mmol/L,0.5 to＜1.0 mmol/L,1.0 to＜1.4 mmol/L,1.4 to＜1.8 mmol/L,and above 1.8 mmol/L.All patients were followed up for more than one year,and clinical conditions and major adverse cardiovascular events(MACE)were recorded.Results A total of 1 106 patients undergoing PCI were enrolled;after propensity score matching and exclusion of patients lost to follow up,550 remained(110 per group).During 12 months of follow-up,58 patients(10.5％)experienced a MACE,with incidence rising step-wise across LDL-C categories.In multivariable Cox models adjusted for age,sex,diabetes,hypertension,baseline LDL-C,follow-up LDL-C,estimated glomerular filtration rate(eGFR),and left ventricular ejection fraction,the hazard ratios[HR(95％CI)]for MACE,relative to the＜0.5 mmol/L group,were 1.810(0.507-6.454,P=0.361),3.036(0.945-9.749,P=0.062),5.228(1.737-15.735,P=0.003),7.708(2.633-22.565,P＜0.001)for LDL-C levels of 0.5 to＜1.0,1.0 to＜1.4,1.4 to＜1.8 and≥ 1.8 mmol/L,respectively.A restricted cubic spline model demonstrated a significant non-linear positive association between LDL-C and MACE(P-overall≤0.001;P-non-linear=0.008).Stratified analyses by age,sex,hypertension and diabetes showed consistent HR with no significant interactions(all P＞0.05).There were no statistically significant differences among the groups in the incidence of bleeding events,elevated creatinine levels,or abnormal liver function(all P＞0.05).Conclusions In patients using PCSK9 after PCI,there is a significant positive correlation between LDL-C levels and the risk of MACE,and no correlation was observed between different LDL-C levels and the risk of adverse events such as bleeding.