Objective To explore the relationship between levels of retinol binding protein (RBP) and lipoprotein (a) [Lp(a)], and obesity and the occurrence risk of cardiovascular disease in population with prehypertension (PH). Methods A total of 301 patients with PH who were admitted to the First Affiliated Hospital of Anhui University of Science and Technology for physical examination from July 2021 to July 2024 were selected as the study subjects. The levels of serum RBP and Lp(a) were determined, and the waist circumference (WC) and body mass index (BMI) were measured to evaluate the obesity of patients. All patients were followed up. According to whether cardiovascular disease occurred during the follow-up period, they were classified into a study group (with cardiovascular disease) and a control group (without cardiovascular disease). The effects of serum RBP and Lp(a) levels, WC and BMI on the risk of cardiovascular disease were analyzed. Results The follow-up results showed that 53 out of 301 cases developed cardiovascular disease. The levels of RBP, Lp(a), WC, and BMI in the study group were higher than those in the control group (P<0.05). Receiver operating characteristic curve revealed that the areas under the curves of RBP, Lp(a), WC, and BMI for predicting the cardiovascular disease were 0.823, 0.741, 0.768, and 0.841, respectively. Serum RBP, Lp(a), WC, and BMI were influencing factors of the occurrence of cardiovascular disease (P<0.05). Conclusion RBP, Lp(a), WC, and BMI are the influencing factors for the occurrence of cardiovascular disease in patients with prehypertension. These four indicators have certain predictive value on the occurrence of cardiovascular disease.

Objective: To explore the impact of different blood donation scenarios on population characteristics and blood donation behaviors, and to provide a basis for precise blood donation recruitment. Methods: Eligible voluntary blood donors with complete records from four scenarios in Xi'an: medical institutions, cultural tourism SITES, commercial superstores, and blood centers. After a preliminary analysis of overall donor characteristics across the four scenarios, three core subgroups were defined based on scenarios and donor population differences: the medical subgroup (aged 30-39 years), the blood center subgroup (aged 30-39 years), and the cultural tourism and commercial superstore subgroup (aged 18-29 years). Baseline characteristics, blood donation behaviors, and blood test results were compared among the subgroups. Results: The blood donors in all four scenarios were mainly male, but the proportion of female donors in the medical scenario was the highest (26.4%, 8 878/33 634). In terms of age distribution, the cultural tourism and commercial superstore scenarios were dominated by donors aged 18-29, while the blood center and medical scenarios were dominated by those aged 30-39, with the highest proportion of donors over 40 in the medical scenario. The occupational and educational composition of blood donors in the blood center scenario spanned a wide range, exhibiting a clear bipolar distribution. Significant differences were observed in baseline characteristics, blood donation behaviors, and blood test results among the three core subgroups (P<0.001). The medical subgroup was mainly composed of enterprise/industrial workers and married individuals, with high proportions of first-time blood donors, and the highest unqualified rate of infectious indicators (2.0%, 274/13 509). The cultural tourism and commercial superstore subgroup was mainly unmarried and students, featured high proportions of large-volume donations and evening donations, and had a relatively high unqualified rate for ALT (0.4%, 130/31 443). The blood center subgroup had a complex population structure, a high proportion of repeat blood donors (45.3%, 6449/14 225), and moderate results in all test indicators. Conclusion: There is an inherent correlation between the attributes of blood donation scenarios, population characteristics, and blood donation behaviors. The differences among the three core subgroups provide a clear basis for precise scenario operation. By constructing transformation channels between different scenarios and optimizing scenario-specific strategies, the structure of blood donors can be improved, thereby supporting the sustainable development of voluntary blood donation.

Objective To construct and compare logistic regression and decision tree models for predicting systemic inflammatory response syndrome (SIRS) in patients with type B aortic dissection (TBAD) after interventional surgery. Methods A retrospective analysis was conducted on clinical data of TBAD patients at Peking University Shenzhen Hospital from 2020 to 2024. The patients were divided into a SIRS group and a non SIRS group based on whether SIRS occurred within 24 hours after surgery. Multivariate logistic regression was used to analyze the influencing factors of SIRS occurrence in TBAD intervention patients, and a decision tree model was constructed using SPSS Modeler to compare the predictive performance of the two models. Results A total of 742 patients with TBAD were included, including 579 males and 163 females, aged 27-97 (58.85±10.79) years. Within 24 hours after intervention, a total of 506 patients developed SIRS, with an incidence rate of 68.19%. Logistic regression analysis showed that the extensive involvement of the dissection, the surgical time≥2 hours, PET coated stents implanted, serum creatinine, white blood cell count, C-reactive protein, monocyte (MONO), neutrophil count levels elevated, estimated glomerular filtration rate and decreased albumin levels were independent risk factors for SIRS (P<0.05). The decision tree model selected a total of 10 explanatory variables and 6 layers with 37 nodes, among which MONO was the most important predictor. The area under the decision tree model curve was 0.829 [95%CI (0.800, 0.856)], which was better than the logistic regression model's 0.690 [95%CI (0.655, 0.723)], and the difference was statistically significant (P<0.001). Conclusion The incidence of SIRS after TBAD intervention is high, and the decision tree model has better predictive performance than logistic regression. It can identify high-risk patients with higher accuracy and provide a practical tool for early clinical intervention.

Objective: : Baculovirus inhibitory of apoptosis repeat-containing 5 (BIRC5) is critically implicated in various types of tumors. However, the specific mechanisms by which it operates in glioma are yet to be fully understood. Methods: : The data sourced from The Cancer Genome Atlas and Gene Expression Omnibus were merged and analyzed using the R software to investigate the relationship between BIRC5 expression and prognosis and diagnosis outcomes. This exploration was conducted utilizing various biological information repositories. The correlation between BIRC5 and immunity was obtained based on TIMER and TISIDB databases. Results: : Gliomas displayed a markedly elevated level of BIRC5 expression compared to adjacent tissues. Patients with glioma who exhibit elevated levels of BIRC5 experience poorer prognoses and shorter survival times. Subgroup classification further revealed that heightened expression of BIRC5 led to diminished overall survival. Analysis of logistic regression and COX indicated that expression of BIRC5 serves as a risk factor in glioma development. Functional enrichment pathways showed that the 72 hub genes related to BIRC5 were mainly closely related to nuclear division, spindle, tubulin binding, and cell cycle in glioma patients. BBIRC5 methylation suggested that BIRC5 might influence the immune response regulation and the tumor microenvironment within gliomas. BIRC5 is associated with many chemicals. Additionally, studies conducted using cell experiments and pathological sections have consistently shown that BIRC5 expression is higher in tumor cells compared to normal cells and tissues. Conclusion : BIRC5 holds promise as a valuable tool in the diagnosis, prognosis, and management of gliomas.

Objective: : Baculovirus inhibitory of apoptosis repeat-containing 5 (BIRC5) is critically implicated in various types of tumors. However, the specific mechanisms by which it operates in glioma are yet to be fully understood. Methods: : The data sourced from The Cancer Genome Atlas and Gene Expression Omnibus were merged and analyzed using the R software to investigate the relationship between BIRC5 expression and prognosis and diagnosis outcomes. This exploration was conducted utilizing various biological information repositories. The correlation between BIRC5 and immunity was obtained based on TIMER and TISIDB databases. Results: : Gliomas displayed a markedly elevated level of BIRC5 expression compared to adjacent tissues. Patients with glioma who exhibit elevated levels of BIRC5 experience poorer prognoses and shorter survival times. Subgroup classification further revealed that heightened expression of BIRC5 led to diminished overall survival. Analysis of logistic regression and COX indicated that expression of BIRC5 serves as a risk factor in glioma development. Functional enrichment pathways showed that the 72 hub genes related to BIRC5 were mainly closely related to nuclear division, spindle, tubulin binding, and cell cycle in glioma patients. BBIRC5 methylation suggested that BIRC5 might influence the immune response regulation and the tumor microenvironment within gliomas. BIRC5 is associated with many chemicals. Additionally, studies conducted using cell experiments and pathological sections have consistently shown that BIRC5 expression is higher in tumor cells compared to normal cells and tissues. Conclusion : BIRC5 holds promise as a valuable tool in the diagnosis, prognosis, and management of gliomas.

Objective: : Baculovirus inhibitory of apoptosis repeat-containing 5 (BIRC5) is critically implicated in various types of tumors. However, the specific mechanisms by which it operates in glioma are yet to be fully understood. Methods: : The data sourced from The Cancer Genome Atlas and Gene Expression Omnibus were merged and analyzed using the R software to investigate the relationship between BIRC5 expression and prognosis and diagnosis outcomes. This exploration was conducted utilizing various biological information repositories. The correlation between BIRC5 and immunity was obtained based on TIMER and TISIDB databases. Results: : Gliomas displayed a markedly elevated level of BIRC5 expression compared to adjacent tissues. Patients with glioma who exhibit elevated levels of BIRC5 experience poorer prognoses and shorter survival times. Subgroup classification further revealed that heightened expression of BIRC5 led to diminished overall survival. Analysis of logistic regression and COX indicated that expression of BIRC5 serves as a risk factor in glioma development. Functional enrichment pathways showed that the 72 hub genes related to BIRC5 were mainly closely related to nuclear division, spindle, tubulin binding, and cell cycle in glioma patients. BBIRC5 methylation suggested that BIRC5 might influence the immune response regulation and the tumor microenvironment within gliomas. BIRC5 is associated with many chemicals. Additionally, studies conducted using cell experiments and pathological sections have consistently shown that BIRC5 expression is higher in tumor cells compared to normal cells and tissues. Conclusion : BIRC5 holds promise as a valuable tool in the diagnosis, prognosis, and management of gliomas.

Objective: : Baculovirus inhibitory of apoptosis repeat-containing 5 (BIRC5) is critically implicated in various types of tumors. However, the specific mechanisms by which it operates in glioma are yet to be fully understood. Methods: : The data sourced from The Cancer Genome Atlas and Gene Expression Omnibus were merged and analyzed using the R software to investigate the relationship between BIRC5 expression and prognosis and diagnosis outcomes. This exploration was conducted utilizing various biological information repositories. The correlation between BIRC5 and immunity was obtained based on TIMER and TISIDB databases. Results: : Gliomas displayed a markedly elevated level of BIRC5 expression compared to adjacent tissues. Patients with glioma who exhibit elevated levels of BIRC5 experience poorer prognoses and shorter survival times. Subgroup classification further revealed that heightened expression of BIRC5 led to diminished overall survival. Analysis of logistic regression and COX indicated that expression of BIRC5 serves as a risk factor in glioma development. Functional enrichment pathways showed that the 72 hub genes related to BIRC5 were mainly closely related to nuclear division, spindle, tubulin binding, and cell cycle in glioma patients. BBIRC5 methylation suggested that BIRC5 might influence the immune response regulation and the tumor microenvironment within gliomas. BIRC5 is associated with many chemicals. Additionally, studies conducted using cell experiments and pathological sections have consistently shown that BIRC5 expression is higher in tumor cells compared to normal cells and tissues. Conclusion : BIRC5 holds promise as a valuable tool in the diagnosis, prognosis, and management of gliomas.

Objective:To implement an overview of systematic reviews on the effects of brain-computer interface training on upper limb functional rehabilitation in stroke patients.Methods:The systematic review/Meta-analysis of the effect of brain-computer interface training on upper limb functional rehabilitation in stroke patients was electronically retrieved in PubMed, Web of Science, Cochrane Library, Embase, CINAHL, Embase, Joanna Briggs Institute Evidence-Based Health Care Center Database, China National Knowledge Infrastructure, Wanfang Data, VIP and China Biology Medicine disc. The search period was from database establishment to November 2024. Two researchers independently performed literature screening and data extraction and evaluated the quality of methodology, reporting, and evidence.Results:A total of 14 systematic reviews/Meta-analyses were included. The results showed that brain-computer interface training helped to improve upper limb motor function, muscle strength and activities of daily living in stroke patients, but the rehabilitative effect on muscle spasm needed to be further confirmed.Conclusions:Brain-computer interface training helps to improve upper limb motor function, muscle strength and activities of daily living in stroke patients. However, the methodological quality and reporting quality of the current studies are poor, and there is still a need for high-quality studies with rigorous design and standardized process to provide reference for clinical practice.

Objective:To develop a scale for assessing science popularization competency in traditional Chinese medicine (TCM) and to evaluate its reliability and validity.Methods:Based on Lasswell's "5W" communication theory, the scale was constructed through literature review, expert consultation, and a pilot survey. Using convenient sampling, 450 TCM-related professionals were selected from two ClassⅢ Grade ATCM hospitals and their affiliated medical alliance community health institutions in Hunan Province. A total of 450 questionnaires were distributed and 446 valid responses were collected (valid response rate: 99.11%). Of these, 222 questionnaires were used for item analysis, reliability testing, and exploratory factor analysis (EFA) ; the remaining 224 were used for confirmatory factor analysis (CFA) .Results:The final TCM Science Popularization Competency Scale comprised 26 items under 6 dimensions: namely popular science cognition; science content creation ability; communication ability; professional values and personality traits; quality of science communication products; evaluation and feedback of communication effectiveness. EFA extracted six common factors, explaining 86.85% of total variance, with all item factor loadings > 0.500. The overall Cronbach's α coefficient for the scale was 0.972, with subscale values all > 0.800. Split-half reliability was 0.948. CFA showed good model fit across indices, indicating high reliability and validity.Conclusions:The TCM Science Popularization Competency Scale demonstrates good psychometric properties and can be used to assess the science popularization competency of TCM professionals. It offers a scientific tool to support the dissemination of TCM knowledge and contribute to the goals of the Healthy China initiative.

Myasthenia gravis(MG)is an autoimmune disease characterized primarily by skeletal muscle weakness and,in severe cases,respiratory involvement.Western medical treatment predominantly relies on immunosuppressants,but long-term administration often leads to notable side effects.In contrast,traditional Chinese medicine(TCM)offers the advantage of multi-target interventions.However,the pathogenesis of MG has not been fully elucidated,and the establishment of animal models that accurately reflect the clinical characteristics of both Chinese and Western medicine is essential for mechanism research and new drug development.This paper systematically reviews the etiology and pathogenesis,diagnostic criteria,and progress of animal model research for MG from both Chinese and Western medicine perspectives.In Western medicine,the pathogenesis of MG is closely related to genetic susceptibility,environmental factors,and autoantibody-mediated postsynaptic membrane damage.In TCM,MG is classified under the category of"flaccidity syndrome",attributed to congenital deficiencies and acquired malnourishment.Western diagnostic criteria involve a combination of clinical symptoms,fatigue testing,serum antibody assays,and electrophysiological evaluation.In contrast,TCM diagnosis emphasizes the integration of primary and secondary symptoms with tongue and pulse pattern differentiation.Currently available animal models mainly include experimental autoimmune myasthenia gravis(EAMG)and passive transfer myasthenia gravis(PTMG).The Toredo acetylcholine receptor(AChR)induced EAMG model aligns well with Western diagnostic criteria,but poorly matches secondary symptoms in TCM.The synthetic AChR peptide model is widely used,but shows low conformity with TCM syndromes.Models induced by muscle-specific tyrosine kinase(MuSK),low-density lipoprotein receptor-related protein 4(LRP4),and transgenic models demonstrate high innovation but exhibit low clinical conformity.Evaluation of these models requires integration of behavioral,electrophysiological,and immunological indicators.However,a systematic framework for modelling TCM syndromes is still lacking.Future research should integrate TCM-based etiological modelling methods with the Western pathological mechanisms to construct disease-syndrome combination models.Additionally,it is crucial to establish a TCM syndrome evaluation system based on"validation by prescription",as well as to improve the scientific rigor and practicality of animal models by the incorporation of emerging technologies.This review provides a theoretical foundation for optimizing MG animal model design,advancing the research on the combination of Chinese and Western medicine,and supporting efficacy assessment and mechanism exploration of Chinese herbal prescriptions.