ObjectiveTo evaluate the effects and safety of the optimized new Shengmai Powder （优化新生脉散方） on exercise tolerance in patients with chronic heart failure （CHF） of qi deficiency， blood stasis， and fluid retention syndrome. MethodsA randomized， double-blind， placebo-controlled trial was conducted. A total of 78 CHF patients with qi deficiency， blood stasis， and fluid retention syndrome were recruited and randomly assigned to a treatment group （39 cases） and a control group （39 cases）. On the basis of conventional western medical therapy， patients in the treatment group additionally received the optimized new Shengmai Powder granules， while the control group was given an oral placebo of optimized new Shengmai Powder granules. Patients in both groups took 30.6 g each time， twice a day， mixed with water for administration， with a total treatment course of 4 weeks. The primary outcomes were 6-minute walk distance （6MWD） and peak oxygen uptake （Peak VO₂） measured by cardiopulmonary exercise testing. Secondary outcomes included New York Heart Association （NYHA） functional classification， B-type natriuretic peptide （BNP） levels， cardiac function indexes including left ventricular ejection fraction （LVEF）， left ventri-cular end-systolic diameter （LVESD） and left ventricular end-diastolic diameter （LVEDD）， Minnesota Living with Heart Failure Questionnaire （MLHFQ） scores， and scores of four diagnostic information of traditional Chinese medicine （TCM）. All indicators were assessed once before and after treatment respectively. Safety indicators were evaluated， and adverse events during the trial were recorded. ResultsAll patients in both groups were included in the full ana-lysis set （FAS） and safety set （SS）. Compared with baseline， the 6MWD and Peak VO₂ of cardiopulmonary exercise test in the treatment group significantly increased after treatment， while the MLHFQ scores， serum BNP levels and scores of TCM four diagnostic information significantly decreased， and the NYHA cardiac function grade significantly improved （P＜0.01）. After treatment， the 6MWD and Peak VO₂ of cardiopulmonary exercise test， as well as their changes from baseline in the treatment group were higher than those in the control group； the MLHFQ scores， serum BNP levels and scores of TCM four diagnostic information in the treatment group were lower than those in the control group； and the improvement of NYHA cardiac function grade in the treatment group was superior to that in the control group （P＜0.01）. There was no statistically significant differences in all indicators after treatment in the control group （P＞0.05）. The incidence of adverse events was 5.1% （2/39） in the treatment group and 2.6% （1/39） in the control group， with no statistically significant difference between groups （P＞0.05）. ConclusionOn the basis of conventional western medicine treatment， the addition of the optimized new Shengmai Powder can further improve exercise tolerance， cardiac function and quality of life in patients with CHF of qi deficiency， blood stasis and fluid retention syndrome， and show good safety.

Objective To investigate the chemical constituents of Epimedium multiflorum T. S. Ying. Methods The ethanol extract of E. multiflorum was separated and purified by silica gel column chromatography, preparative thin-layer chromatography, and semi-preparative reversed-phase high-performance liquid chromatography. The structures of the compounds were identified by nuclear magnetic resonance spectroscopy and comparison with literature data. Results Ten compounds were isolated and purified, which structures were identified as baohuoside Ⅱ（1），2′′-O-rhamnosyl-icariside Ⅱ（2）, icariin（3）, epimedoside A（4）, ikarisoside B（5）, epimedin C（6）, baohuoside Ⅴ（7）, epimedin A（8）, epimedin B（9）, and ikarisoside C（10）. Conclusion All the isolated flavonoid compounds were obtained from E. multiflorum for the first time.

ObjectiveTo evaluate the clinical efficacy of Shenqi Yangxin decoction in the treatment of ischemic cardiomyopathy （ICM） with Qi and Yin deficiency and blood stasis syndrome and its effect on serum hydrogen sulfide （H₂S） and calcium ion （Ca²⁺）. MethodsA total of 64 ICM patients with Qi and Yin deficiency and blood stasis syndrome who met the inclusion criteria were randomly divided into a control group （n=32） and a treatment group （n=32）. All patients received conventional Western medicine treatment. The treatment group was additionally given Shenqi Yangxin decoction. The TCM syndrome score， Minnesota Living with Heart Failure Questionnaire （MLHFQ） score， left ventricular ejection fraction （LVEF）， N-terminal pro-B-type natriuretic peptide （NT-proBNP）， 6-minute walk test （6MWT）， New York Heart Association （NYHA） cardiac function classification， and serum H₂S and Ca²⁺ levels were compared between the two groups pre- and post-treatment. ResultsTwo cases dropped out from each group during the study. Finally， 30 patients in each group were included in the analysis. There were no significant differences in age， gender， course of coronary heart disease， underlying diseases， and laboratory tests between the two groups. Compared with baseline， the TCM syndrome score， MLHFQ score， and NT-proBNP in both treatment group and control group decreased significantly （P<0.01）， LVEF， 6MWT， and H₂S increased significantly （P<0.01）， and serum Ca²⁺ increased （P<0.05）. Compared with the control group after treatment， the MLHFQ score and NT-proBNP in the treatment group decreased （P<0.05）， the TCM syndrome score decreased significantly （P<0.01）， LVEF， 6MWT， and serum Ca²⁺ increased （P<0.05）， and H₂S increased significantly （P<0.01）. The improvement degree of the NYHA cardiac function classification in the treatment group was higher than that in the control group， but there was no significant difference. ConclusionShenqi Yangxin decoction is effective in treating ICM patients with Qi and Yin deficiency and blood stasis， which could significantly improve cardiac function and quality of life， and its therapeutic effect may be related to the regulation of serum H₂S and Ca²⁺ levels.

Chimeric antigen receptor (CAR) T-cell therapy for B-cell hematologic malignancies has achieved breakthrough success; however, its efficacy for acute myeloid leukemia (AML) is constrained by the lack of highly specific tumor antigens and the expression of shared targets on normal hematopoietic stem/progenitor cells, increasing the risk of on-target myelosuppression and cytokine release syndrome (CRS). By contrast, CAR-NK cell therapy, an emerging strategy that leverages the innate antitumor activity of natural killer cells, is associated with low rates of CRS and graft-versus-host disease. Early clinical studies also indicate its favorable safety profile with preliminary antileukemic activity. This review summarizes recent advances in CAR-NK therapy for AML and discusses future directions and potential avenues for clinical translation.

Background Frailty serves as a significant precursor to falls, disability, and mortality. Epidemiological evidence examining the impact of working hours on frailty remains scarce. Objective To explore the prevalence of frailty and the relationship between frailty and working hours among full-time middle-aged and older workers in China. Methods Data were derived from the 2020 China Health and Retirement Longitudinal Study (CHARLS). The study included full-time workers aged 45 years and above with a weekly working duration exceeding 35 h. Frailty was assessed using the Frailty Index (FI). First, the dose-response relationship between working hours and FI was explored using a generalized additive model (GAM). Second, univariate analyses were performed using t-tests, χ² tests, and the Jonckheere–Terpstra trend test. Restricted cubic splines (RCS) were introduced for modeling. Based on ordinal logistic regression models, covariates were adjusted sequentially to examine whether differences in frailty prevalence existed across different weekly working hour categories. Finally, subgroup analyses were performed. Results Among the 5504 included participants, the mean age was (56.41±7.30) years, with 2304 being female (41.86%). A total of 807 participants (14.66%) were identified as frail, and 2 686 participants (48.80%) were pre-frail. After standardization for gender and age according to the seventh national census data, the standardized prevalence of frailty and prefrailty were 18.89% and 47.25%, respectively. Significant higher proportions of frail individuals were found among those in non-managerial (73.73%), agricultural (64.06%), and non-employed (65.68%) occupations. Long working hours were prevalent: 2596 (47.17%) workers worked 41–60 h per week, 1649 (29.96%) worked >60 h per week, and only 1259 (22.87%) worked 35–40 h per week. GAM analysis showed a non-linear relationship between weekly working hours and FI. Restricted cubic spline analysis showed a statistically significant association between weekly working hours and frailty status (P=0.022). Logistic regression analysis revealed that individuals working more than 60 h per week had a 23% higher odds of frailty compared to those working 41–60 h (OR=1.23, 95%CI: 1.09, 1.38, P<0.01), while those working 35–40 h per week showed a 15% higher odds of frailty (OR=1.15, 95%CI: 1.01, 1.31, P=0.034). The subgroup analysis revealed that the positive association between working more than 60 h per week and frailty remained generally consistent across sex, age, urban/rural residence, occupational attributes, industry, or employment type, although the association did not reach statistical significance among non-rural residents and individuals aged 60 years and older. Conclusion The prevalence of frailty among full-time middle-aged and older labor force in China is relatively high, and the odds of frailty increases significantly among those who work more than 60 h per week. It is recommended to implement frailty prevention and management strategies targeting long-working-hour workers and to prioritize the impact of working duration on frailty.

Radar-based non-contact health monitoring technology (RBNHMT) has emerged as a transformative paradigm in continuous health sensing, enabling non-invasive and continuous monitoring of physiological parameters and behavioral patterns by transmitting electromagnetic waves, analyzing the reflected signals, and detecting subtle bodily movements—ranging from millimeter-scale chest wall displacements due to respiration to micro-scale vibrations associated with cardiac activity—ultimately transforming them into quantifiable health data. Distinguished by its non-contact operation, inherent privacy preservation, and adaptability to diverse scenarios, RBNHMT exhibits stronger resistance to environmental interference than conventional contact-based monitoring, and has solidified its position as a prominent and dynamic research focus in the field of non-contact health monitoring. Currently, significant and multifaceted progress has been made across several key areas. In human activity recognition (HAR), systems leveraging micro-Doppler signatures or point cloud sequences achieve high-precision detection of gait, gestures, and fall events, with state-of-the-art deep learning-based models achieving accuracy rates exceeding 99% in controlled experimental settings. For vital sign and sleep monitoring, it not only tracks respiratory and heart rates continuously but also extracts clinically relevant metrics such as heart rate variability (HRV) for autonomic nervous system assessment and estimates blood pressure through indirect methods like pulse transit time analysis, while maintaining robustness in dynamic settings through advanced motion compensation algorithms. In sleep monitoring, it further enables sleep posture classification and apnea event detection. In emotion and stress recognition, it provides a non-intrusive approach for psychological assessment by analyzing autonomic-response physiological signal patterns or behavioral features. Furthermore, its applications in auxiliary medical diagnosis have expanded to promising interdisciplinary areas such as non-contact heart sound auscultation, radar-based screening for obstructive sleep apnea (OSA), and emerging research into breast cancer detection using microwave and millimeter-wave imaging techniques. However, several challenges impede its practical deployment. Signal quality is significantly compromised by multipath interference in complex indoor environments and clutter from static objects, and by motion artifacts in dynamic scenarios where gross body movements obscure the subtle physiological signals. Algorithmically, separating signals from multiple targets in close proximity and calibrating for substantial individual physiological differences, such as body habitus, baseline vital signs, remain difficult and limit generalizability. Hardware design also faces the challenge of balancing power consumption, cost, integration, and performance, often requiring trade-offs that constrain miniaturization, battery life, or measurement sensitivity. Future advancement, therefore, requires collaborative and targeted innovation across multiple dimensions. Algorithmically, developing adaptive signal processing models based on emerging paradigms such as few-shot learning (for user-specific calibration with minimal data) and reinforcement learning (for dynamic noise suppression) is essential. At the hardware level, highly integrated radar SoCs with embedded processing capabilities and advanced packaging technologies are crucial for achieving the dual goals of device miniaturization and cost reduction without sacrificing performance. At the system level, fusing radar data with complementary modalities such as infrared and acoustic sensing can create a synergistic, multi-modal framework that significantly enhances perceptual robustness and reliability in complex, real-world environments. This review provides a comprehensive synthesis that systematically summarizes the relevant theoretical foundations and application progress, and offers an in-depth analysis of the current technical bottlenecks. It aims to provide a clear development path and a foundational academic reference for the in-depth integration and practical application of RBNHMT in critical scenarios including rehabilitation engineering, smart elderly care, in-vehicle health monitoring, and beyond, thereby offering innovative technical support for the vision of universal, proactive, and personalized health management.

ObjectiveTo investigate the association of liver fibrosis scores and inflammation markers with gallstones in patients with metabolic dysfunction-associated fatty liver disease （MAFLD）， as well as the mediating role of liver fibrosis scores in the relationship between inflammation markers and gallstones. MethodsA total of 14 567 patients who received physical examination and were diagnosed with MAFLD in Subei People’s Hospital from January 2014 to June 2023 were enrolled in this study， and according to the results of abdominal color Doppler ultrasound， they were divided into gallstone group with 1 724 patients and non-gallstone group with 12 843 patients. Related clinical data were collected from all patients， including demographic data， medical history， family history， physical examination， Color Doppler ultrasound， and biochemical parameters. The biomarkers associated with metabolic disorders and insulin resistance included triglyceride-glucose index （TyG）， TyG-body mass index （BMI） index， atherogenic index of plasma （AIP）， and non-high-density lipoprotein cholesterol-to-high-density lipoprotein cholesterol ratio （NHHR）； the biomarkers associated with inflammation and nutritional status included neutrophil-to-lymphocyte ratio （NLR）， neutrophil percentage-to-albumin ratio （NPAR）， and monocyte-to-lymphocyte ratio （MLR）； the biomarkers for assessing liver fibrosis degree and liver function included albumin-bilirubin （ALBI） score， NAFLD fibrosis score （NFS）， fibrosis-4 （FIB-4） index， and aspartate aminotransferase-to-platelet ratio index （APRI）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， while the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Multivariate Logistic regression analysis， restricted cubic spline analysis， and mediating effect analysis were used to assess the association of liver fibrosis markers and inflammation markers with the risk of gallstones. ResultsThe prevalence rate of gallstones was 11.8% among the MAFLD patients. There were significant differences between the gallstone group and the non-gallstone group in sex， age， smoking history， diabetes， hypertension， lymphocytes， platelets， glucose， albumin， serum uric acid， alanine aminotransferase， aspartate aminotransferase， red blood cell， NLR， NPAR， MLR， NFS， FIB-4 index， and ALBI score （all P<0.05）. The multivariate Logistic regression analysis showed that NLR （odds ratio ［OR］=1.091， 95% confidence interval ［CI］： 1.028　—　1.160， P<0.05）， NPAR （OR=1.073， 95%CI： 1.042　—　1.105， P<0.05）， MLR （OR=1.142， 95%CI： 1.057　—　1.232， P<0.05）， NFS （OR=1.239， 95%CI： 1.190　—　1.291， P<0.05）， and FIB-4 index （OR=1.326， 95%CI： 1.241　—　1.417， P<0.05） were influencing factors for the prevalence rate of gallstones. The restricted cubic spline analysis showed a significant non-linear association between NFS/FIB-4 index and the risk of gallstone （non-linear P<0.05）. The mediating effect analysis further showed that the association of NLR， MLR， and NPAR with gallstones was partially mediated by NFS or FIB-4 index， with a mediating effect accounting for 36.79%、28.09%、29.67% and 18.31%、17.70、11.57%， respectively. ConclusionNFS and FIB-4 index have a non-linear association with the prevalence rate of gallstones in MAFLD patients， and they also mediate the association of NLR， NPAR， and MLR with the risk of gallstone.

Objective: To understand the hydration status and related factors of rural boarding primary school students, so as to provide a scientific basis for drinking water health intervention for primary school students. Methods: In November 2023, a convenience sampling approach was employed to conduct a hydration status survey among 144 boarding students in grades 5 and 6 of a rural primary school in Guangxi. The Duplicate meal method and weighing method were utilized to measure the food derived water intake over three consecutive days. Urine osmolarity of students was measured on site for three days, and a simple physical examination was also carried out. A self administered questionnaire was used to investigate students drinking water literacy, daily water intake, and physical activity levels. Meanwhile, a drinking water literacy survey was conducted among 21 substitute teachers and 144 parents of the boarding students in grades 5 and 6. Logistic regression was used to identify factors associated with students hydration status. Results: The median daily total water intake of students was 2 043.55 mL, and 54.86% of the students did not reach the recommended Adequate Intake (AI). The median food derived water intake was 1 149.24 mL, accounting for 53.94% of the total water intake. Univariate analysis revealed that the daily drinking frequency, daily water intake, and food derived water intake of students were related factors of hydration status ( β =-1.60, -1.01, -0.00, all P <0.05). Multivariate Logistic regression analysis showed that primary school students with a daily drinking frequency of ≥7 times were more likely to maintain an adequate hydration status ( OR =0.28, 95% CI =0.09-0.93, P ＜0.05). Conclusions The water intake from food is the main source of water in the body for boarding primary school students in a certain rural school in Guangxi. Primary school students should increase their water intake frequency appropriately to maintain an adequate hydration status.

Atherosclerosis （AS） is a vascular disease primarily affecting large and medium-sized arteries. It serves as the pathological basis for many cardiovascular and cerebrovascular diseases and is associated with a relatively high incidence of complications and mortality worldwide. Traditional Chinese medicine （TCM） plays an important role in the prevention and treatment of AS， demonstrating unique therapeutic advantages through multiple targets and pathways. Ligusticum chuanxiong， a commonly used Chinese medicine in clinical practice， contains key active components against AS， including ligustrazine， senkyunolide， ligustilide， quercetin， ferulic acid， vanillic acid， chlorogenic acid， gallic acid， protocatechuic acid， caffeic acid， chrysophanol， and β-sitosterol. Recent literature indicates that these active components can regulate AS through multiple mechanisms， including improving endothelial cell dysfunction， alleviating lipid metabolism disorders， inhibiting macrophage foam cell formation， suppressing the invasion， proliferation， and migration of smooth muscle cells， inhibiting apoptosis， exerting anticoagulant effects and inhibiting platelet activation， protecting mitochondrial function， and modulating intestinal flora and its metabolites， demonstrating significant pharmacological activity and clinical potential. Clinically， L. chuanxiong is often combined with Salvia miltiorrhiza， Paeonia lactiflora， Angelica sinensis， and borneol to form compound formulations， enhancing therapeutic effects and achieving synergistic anti-AS activity. Compound treatment with L. chuanxiong primarily focuses on promoting blood circulation and shows significant efficacy for different AS syndrome types. This article provides an in-depth review of the active components， drug pairs， and compound preparations of L. chuanxiong in the prevention and treatment of AS， aiming to lay a foundation for subsequent theoretical research and clinical applications in managing AS and its related complications.

Acute myeloid leukemia (AML) is characterized by marked biological heterogeneity, and molecular classification is essential for therapeutic decision-making and prognostic stratification. With the advancement of precision oncology, genotype-directed targeted therapy has emerged as a critical element in the management of AML. Although KMT2A rearrangements and NPM1 mutations arise from distinct molecular events, both converge on aberrant activation of the HOX/MEIS1 transcriptional program, thereby sustaining the self-renewal of leukemic stem/progenitor cells and impairing myeloid differentiation to promote leukemogenesis and disease progression. Menin, encoded by the tumor suppressor gene MEN1, functions as a nuclear scaffold protein and serves as an essential mediator for the assembly of KMT2A fusion-driven transcriptional complexes, recruitment of cooperative cofactors, and stabilization of oncogenic transcriptional networks. The disruption of the Menin-KMT2A interaction represents a mechanistically grounded therapeutic strategy. In recent years, multiple Menin inhibitors have progressed to clinical development and exhibited clinically significant activity in AML subsets with KMT2A rearrangements or NPM1 mutations. This review summarizes current progress in the research and clinical application of Menin inhibitors in AML, focusing on pharmacological mechanisms, efficacy and safety profiles derived from clinical studies, and emerging resistance mechanisms, including recurrent MEN1 hotspot mutations and epigenetic/transcriptional reprogramming. We further discuss rational combination approaches and directions for the development of next-generation agents, aiming to enhance clinical practice and guide future research.