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.

Bisphenols (BPs) are extensively used in food packaging, personal care products, and plastics, making them prevalent in both living and working environments, which has raised significant concern. As endocrine-disrupting chemicals, BPs exert toxic effects on the female reproductive system by binding to estrogen receptors, thereby activating or inhibiting the expression of genes related to reproductive functions, which disrupts the normal function of the endocrine system. This paper reviewed the effects of bisphenol A (BPA), bisphenol S (BPS), and bisphenol F (BPF) on female reproductive function, focusing on three key aspects: the effects on the female reproductive organs, the occurrence of associated reproductive disorders, and the mechanisms of toxicity. Specifically, this review highlighted the effects on ovarian function, uterine morphology and function, and fallopian tube function, as well as their correlation with polycystic ovary syndrome, endometriosis, miscarriage, and eclampsia. Additionally, the toxic mechanisms of BPs exposure were summarized, providing a scientific basis for future research on the impact of BPs on the female reproductive system, as well as for the assessment of potential health risks and the development of preventive measures.

Objective: Data on syncopal donation-related vasovagal reaction (DRVR) collected from 74 blood centers between 2020 and 2023 was statistically analyzed to provide a reference for developing preventive strategies against syncopal DRVR. Methods: Data on blood donation adverse reactions and basic information of donors from 2020 to 2023 were collected through the information management system at monitoring sentinel sites. Statistical analysis was performed on the following aspects of syncopal DRVR: characteristics of donors who experienced syncope, reported incidence, triggers, duration, presence and occurrence time of syncope-related trauma, clinical management including outpatient and inpatient treatment, and severity grading. Results: From 2020 to 2023, 45 966 donation-related adverse reactions were recorded. Of these, 1 665 (3.72%) cases were syncopal DRVR. The incidence of syncopal DRVR decreased with age, being the highest in the 18-22 age group. Incidence was significantly higher in female donors than male donors, in first-time donors than repeat donors, and in university and individual donors than group donors (all P<0.05). There was no statistically significant difference among different blood donation locations (P>0.05). The top three triggers were tension, fatigue, and needle phobia or fear of blood. Among syncopal DRVR cases, 60.36% occurred during blood collection, 87.63% lasted for less than 60 seconds, and 5.05% were accompanied by trauma. Notably, 57.14% of these traumas occurred after donor had left the blood collection site. Syncope severity was graded based on required treatment: grade 1 (fully recovered without treatment, 95.50%); grade 2 (recovered after outpatient treatment, 4.02%); and grade 3 (recovered after inpatient treatment, 0.48%). Conclusion: By analyzing the data of syncopal DRVR cases, it is possible to provide a reference for formulating blood donor safety policies.

INTRODUCTION: Achieving low-density lipoprotein cholesterol (LDL-C) levels is key to preventing atherosclerotic cardiovascular events. However, many high-risk cardiovascular patients still experience poor LDL-C goal attainment and receive suboptimal lipid-lowering therapy (LLT) prescriptions. Herein, we evaluated LLT prescription patterns, LDL-C goal attainment and cardiovascular mortality among this population group in Singapore. METHODS: This prospective observational cohort study included 555 patients with ischaemic heart disease (IHD) admitted to the hospital in 2020. The LLT prescriptions, corresponding LDL-C levels and cardiovascular outcomes were assessed over a 24-month period. RESULTS: Most participants were male (82.3%), with 48.5% identified as Chinese. High-intensity statin prescriptions increased from 45.4% at hospital admission to 87.1% at discharge and remained stable at approximately 80% at 6, 12, and 24 months post-discharge. Combination LLT prescriptions increased from 12.3% at discharge to 33.8% by 24 months. Ezetimibe was the most commonly prescribed second-line LLT (40.8%), followed by inclisiran (1.09%) and anti-proprotein convertase subtilisin/kexin type 9 monoclonal antibody therapies (0.87%). Over 24 months, LDL-C goal attainment rates were 22.1% for LDL-C < 1.4 mmol/L and 47.2% for LDL-C < 1.8 mmol/L. Multivariable Cox proportional hazards regression indicated that achieving LDL-C < 1.8 mmol/L goal was associated with a reduction in all-cause mortality at 24 months (hazard ratio 0.53, 95% confidence interval 0.30-0.94, P = 0.030). CONCLUSION Treatment gaps in lipid management persist in 80% of the study population, indicating that statin monotherapy alone is insufficient to achieve LDL-C goals. Greater efforts to improve LDL-C goal attainment rates in high-risk cardiovascular patients are imperative.
Humans ; Male ; Cholesterol, LDL/blood* ; Female ; Myocardial Ischemia/drug therapy* ; Middle Aged ; Prospective Studies ; Aged ; Singapore/epidemiology* ; Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use* ; Ezetimibe/therapeutic use* ; Anticholesteremic Agents/therapeutic use* ; Treatment Outcome

As a representative prescription of stagnated blood syndrome,Didang Decoction has the effect of breaking blood,removing blood stasis and purging heat.According to the pathogenesis characteristics of"blood stasis and heat accumulation",Didang Decoction has been widely used in the treatment of diabetes and its complications,cerebrovascular diseases,gynecology and andrology and other diseases.This article summarized the effects of factors such as drug compatibility,processing methods and decocting time on the chemical components of Didang Decoction,and concluded its pharmacological effects from the aspects of improving insulin resistance,antioxidation,regulating cell death,anti-inflammatory,anti-tumor,anti fibrosis,anticoagulation,reducing toxicity of Gelsemium elegans,regulating blood lipid metabolism,and improving microcirculation,providing references for the research and clinical application of Didang Decoction.

microRNA(miRNA),as a short non-coding RNA molecule,regulates bone-immune signal and stress response through transcription,translation as well as the combination of shear process,exerting the effect of promoting angiogenesis and repairing damage bone;type H vessels play a role in the cou-pling of angiogenesis and osteogenesis in the formation of new bone and promoting bone regeneration at the defect site.In re-cent years,miRNA regulates hypoxia inducible factor 1α(HIF-1 α)/vascular endothelial growth factor(VEGF),Notch,plate-let-derived growth factor-BB(PDGF-BB),Wnt/glycogen syn-thase kinase-3 β(GSK3 β)to affect the migration,recruitment,proliferation and differentiation of endothelial cells(ECs)and osteoblast(OB),promote the coupling of H-type vessels and os-teoblasts to improve bone homeostasis,and then prevent and treat bone metabolic diseases.This article explains the role of miRNA in regulating H-type vascular osteogenic coupling to provide tar-gets and pathways for improving bone homeostasis.In addition,the active ingredients of traditional Chinese medicine affect the differential expression of miRNA to promote H-type angiogenesis and provide strategies for clinical prevention and treatment of bone metabolic diseases.

AIM To study the chemical constituents from the water fraction of rhizoma of Smilax trinervula Miq.and their biological activities.METHODS Polyamide,silica gel,Sephadex LH-20,ODS and semi-preparative HPLC were used for isolation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antitumor activities were determined by MTT mothod,and the inhibitory activities on α-glucosidase were determined by PNPG method.RESULTS Eleven compounds were isolated and identified as tyrosine(1),uridine(2),2-(2',3',4'-trihydroxybutyl)-6-(2",3",4"-trihydroxybutyl)-pyrazine(3),2-(1',2',3',4'-tetrahydroxybutyl)-6-(2",3",4"-trihydroxybutyl)-pyrazine(4),2-(1',2',3',4'-tetrahydroxybutyl)-5-(2",3",4"-trihydroxybutyl)-pyrazine(5),uracil(6),2-(1',2',3',4'-tetrahydroxybutyl)-5-(1",2",3",4"-tetrahydroxybutyl)-pyrazine(7),dioscin(8),shikimic acid(9),pyrazine(10),3,4-dihydroxyphenyethyl alcohol 8-O-β-D-glycopyranoside(11).The IC50 values of compounds 8 to human breast cancer cell MCF-7 was(2.36±0.26)μg/mL,and the IC50 values of compounds 3-5 and 7 to α-glucosidase were(1.54±0.15)-(10.53±0.38)μg/mL.CONCLUSION Compounds 1-7,10 are isolated from Smilax genus for the first time,and compound 9,11 are first isolated from this plant.Compound 8 has anti-tumor activity,and compounds 3-5,7 have α-glucosidase inhibitory activities.

Abnormal lipid metabolism and renal ectopic lipid accumulation have been associated with the occurrence and development of kidney diseases,particularly in diabetic nephropathy.However,the drugs commonly used in clinic to treat hypercholesterolemia,such as statins,ezetimibe and proprotein convertase subtilisin/Kexin type 9(PCSK9)inhibitors,can effectively reduce the blood lipid level,but fail to delay the progress of kidney disease.In recent years,an increasing number of research studies have focused on the impact of free fat acids(FFA)metabolism on kidney function.The profiles and metabolism of fatty acids are altered in chronic kidney disease(CKD),and deregulated fatty acid metabolism contributes to further kidney damage.Furthermore,the role of FFA transporter in the progression of kidney diseases is gradually recognized.Therefore,this review summarizes the recent preclinical researches of fatty acid transporter fatty acid transport protein 2(FATP2)expressed in proximal renal tubular epithelial cells.

Objective Using network pharmacology research methods and animal pharmacology experiments,explore the mechanism of antidepressant effects of traditional Chinese medicine Citron and Bergamot.Methods Using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform(TCMSP),ETCM,Symmap,Swiss Target Prediction,and Uniprot data platforms,screen the active ingredients and corresponding gene targets of Citron and Bergamot.Obtain depression gene targets using OMIM,TTD,and Cenecards data platforms.Using Venny 2.1 online software,draw Venn diagrams of the intersection of active ingredients and gene targets.Draw network diagrams between drugs,active ingredients,targets,and diseases using Cytoscape 3.7.2 software.Construct a protein-protein interaction(PPI)network diagram using the STRING data platform for intersecting genes.Using the Metascape data platform,perform gene ontology(GO)function and Kyoto Encyclopedia of Genesand and Genomes(KEGG)pathway enrichment analysis.A rat depression model was established using chronic unpredictable mild stress(CUMS)combined with solitary care,and animal experiments were conducted to verify the BDNF/TrkB/CREB signaling pathway obtained from network pharmacology research.Results The research results of network pharmacology methods show that there are 57 antidepressant active ingredients in Citron,65 antidepressant active ingredients in Bergamot,and important active ingredients include Acetic acid,3,4,7-trimethoxycoumarin and Citric acid,etc.Through the data platform,2717 depression targets and 430 intersection targets were identified.Through PPI network analysis,key gene targets for antidepressant effects in Citron and Bergamot were identified,including TP53,Protein kinase B1,CREB-binding protein,Brain derived neurotrophic factor,etc.Through KEGG analysis,it was found that important signaling pathways include pathways in cancer,PI3K-Akt signaling pathway,Neurotrophin signaling pathway,etc.By observing the neurotrophic factor BDNF/TrkB/CREB signaling pathway in depressed rats,the results showed that the medium dose groups of Citron and Bergamot could significantly increase serum BDNF content(P<0.05),and each treatment group could improve the damage of hippocampal neurons in rats.The high and medium dose groups of Citron and Bergamot significantly increased the expression of BDNF protein in the hippocampal CA1 region(P<0.05,P<0.01).Except for the low-dose group,which showed no difference in TrkB mRNA gene expression,all other treatment groups significantly increased the mRNA gene expression levels of hippocampal BDNF,TrkB and CREB(P<0.01).The medium dose group of Citron and Bergamot increased the expression of BDNF protein in the hippocampus(P<0.01),while the medium and low dose groups significantly increased the relative expression of TrkB protein in the hippocampus(P<0.05).The medium dose group showed an increasing trend in the relative expression of CREB protein.Conclusion Traditional Chinese medicine Citron and Bergamot have therapeutic effects on depression models in rats,and the mechanism of action may be related to the BDNF/TrkB/CREB signaling pathway.

Rumination is a core cognitive symptom of post-traumatic stress disorder(PTSD),which significantly exacerbates difficulties in emotional regulation and impedes symptom recovery.Its occurrence is closely associated with gray matter structural impairments and abnormal white matter connectivity in the prefrontal-limbic system,including the hippocampus,amygdala,and prefrontal cortex.Functional neuroimaging studies indicate that the neural basis of rumination involves hyperactivation of the default mode network and the salience network,coupled with reduced functionality of the executive control network.Neurochemical research suggests that metabolic imbalances in the glutamate/γ-aminobutyric acid system may further contribute to the maintenance and reinforcement of rumination.Systematically elucidating the neural mechanisms of rumination in PTSD patients based on multimodal neuroimaging evidence will facilitate a deeper understanding of its neuropathological mechanisms and help expand future research directions.