Objective: To evaluate the risk of donation-related adverse reactions, donation behavior, and contributions to the blood supply among donors aged 56-65 years following extension of the upper age limit for voluntary blood donation, and to provide real-world evidence for optimizing blood donation age policies in China. Methods: A multicenter retrospective cohort was established using blood donation databases from Hainan, Shenzhen, and Jiangxi. A total of 1 180 767 donors contributing 2 020 407 whole-blood and apheresis donations were included. Donations were classified by donor age at each donation into the 18-55-year and 56-65-year groups. Generalized estimating equation (GEE) models were used to compare the risks of overall, local, and systemic donation-related adverse reactions between the two age groups. Restricted cubic spline analysis was used to assess the continuous association between donor age and the risk of overall adverse reactions. Poisson GEE models were used to compare annual donation frequency, and donation participation and contributions to the blood supply among donors aged 56-65 years were evaluated. The study was approved by the Ethics Committee of the Institute of Blood Transfusion, Chinese Academy of Medical Sciences (No.2025012) and registered with the Chinese Clinical Trial Registry (ChiCTR2500114960). Results: A total of 1 960 711 donations were included in the 18-55-year group and 59 696 in the 56-65-year group. The overall donation-related adverse reaction rates were 3.890‰and 0.704‰, respectively. Multivariable GEE analysis showed that, compared with donors aged 18-55 years, those aged 56-65 years had lower risks of overall adverse reactions (adjusted OR=0.294, 95%CI: 0.217-0.398, P<0.001) and systemic adverse reactions (adjusted OR=0.163, 95%CI: 0.101-0.263, P<0.001), whereas no statistically significant difference was observed in the risk of local adverse reactions (adjusted OR=1.337, 95%CI: 0.487-3.670, P=0.573). Donor age was nonlinearly associated with the risk of overall adverse reactions (P overall<0.001, P nonlinear<0.001), with the risk generally decreasing with increasing age between 18 and 65 years. The mean annual donation frequency was higher among donors aged 56-65 years than among those aged 18-55 years (1.63 vs 1.24 donations per year; adjusted IRR=1.34, 95%CI: 1.30-1.39, P<0.001). During the study period, donors aged 56-65 years contributed 2.95% of all donations; their whole-blood donations and whole-blood collection volume accounted for 2.36% and 2.37% of the corresponding totals, respectively. Conclusion: Under current health screening and standardized donor management, donors aged 56-65 years did not show an increased risk of short-term donation-related adverse reactions and demonstrated a higher annual donation frequency, together with a measurable contribution to the blood supply. These findings support appropriately extending the upper age limit for voluntary blood donation under strict health screening to broaden the donor pool and supplement the blood supply.

Non-steroidal anti-inflammatory drugs(NSAIDs),commonly utilized analgesics,are extensively employed for managing pain associated with musculoskeletal disorders or injuries.Recent clinical studies have demonstrated a heightened risk of bone stress injuries(BSI)in soldiers and athletes,particularly during high-intensity training,due to NSAID usage.Furthermore,the impact of NSAIDs on fracture healing is well-documented;however,the precise mechanism by which their use during training contributes to an increased incidence of stress bone injuries remains unclear.This article aims to summarize potential mechanisms through an extensive review of domestic and international literature in order to standardize the utilization and clinical management of NSAIDs,optimize pain management strategies,and prevent stress bone injuries or fractures in specific populations such as soldiers and elite athletes.

To explore the variation laws of volatile oil during the extraction process of Artemisiae Argyi Folium and its impact on the quality of the medicinal solution, as well as to achieve precise control of the extraction process, this study employed headspace solid phase microextraction gas chromatography-mass spectrometry(HS-SPME-GC-MS) in combination with multiple light scattering techniques to conduct a comprehensive analysis, identification, and characterization of the changes in volatile components and the physical properties of the medicinal solution during the extraction process. A total of 82 volatile compounds were identified using the HS-SPME-GC-MS technique, including 21 alcohols, 15 alkenes, 14 ketones, 9 acids, 6 aldehydes, 5 phenols, 3 esters, and 9 other types of compounds. At different extraction time points(15, 30, 45, and 60 min), 71, 72, 64, and 44 compounds were identified in the medicinal solution, respectively. It was observed that the content of volatile components gradually decreased with the extension of extraction time. Through multivariate statistical analysis, four compounds with significant differences during different extraction time intervals were identified, namely 1,8-cineole, terpinen-4-ol, 3-octanone, and camphor. RESULTS:: from multiple light scattering techniques indicated that at 15 minutes of extraction, the transmittance of the medicinal solution was the lowest(25%), the particle size was the largest(0.325-0.350 nm), and the stability index(turbiscan stability index, TSI) was the highest(0-2.5). With the extension of extraction time, the light transmittance of the medicinal solution improved, stability was enhanced, and the particle size decreased. These laws of physicochemical property changes provide important basis for the control of Artemisiae Argyi Folium extraction process. In addition, the changes in the bioactivity of Artemisiae Argyi Folium extracts during the extraction process were investigated through mouse writhing tests and antimicrobial assays. The results indicated that the analgesic and antimicrobial effects of the medicinal solution were strongest at the 15-minute extracting point. In summary, the findings of this study demonstrate that the content of volatile oil in Artemisiae Argyi Folium extracts gradually decreases with the extension of extraction time, and the variation in volatile oil content directly influences the physicochemical properties and pharmacological efficacy of the medicinal solution. This discovery provides important scientific reference for the optimization of Artemisiae Argyi Folium extraction processes and the development and application of process analytical technologies.
Oils, Volatile/pharmacology* ; Artemisia/chemistry* ; Gas Chromatography-Mass Spectrometry ; Drugs, Chinese Herbal/pharmacology* ; Chlorogenic Acid/pharmacology* ; Solid Phase Microextraction ; Quality Control

The development status of the key technologies of first-aid robotics was introduced in autonomous system,embo-died intelligence,digital twins,large artificial intelligence model and autonomous unmanned medical treatment.The present situation in first-aid robotics equipment was reviewed for first-aid diagnosis,treatment,assistance and transportation.The development trends of the key technology and equipment of first-aid robotics were analyzed.It was pointed out the involve-ment of big model-based embodied intelligence technology and digital twins technology in first aid might provide new pers-pectives for the application and advancement of specialized first-aid robotics.[Chinese Medical Equipment Journal,2025,46(3):96-114]

Objective:To analyze the epidemiological characteristics of tick-borne encephalitis (TBE) in Heilongjiang province, to provide a scientific basis for the prevention and control of TBE.Methods:The epidemiological characteristics of TBE were systematically analyzed by the data of TBE cases reported in Disease Surveillance Information Reporting System.Results:A total of 1 127 TBE cases were reported from 2006 to 2020. The average age was 45.8 year, and the case fatality rate was 1.2%. Most TBE cases occurred from April to August, with a peak in June.Conclusions:This research elucidated the epidemiological characteristics of TBE in Heilongjiang province, and provides important basic data for the disease prevention and control.

The development status of the key technologies of first-aid robotics was introduced in autonomous system,embo-died intelligence,digital twins,large artificial intelligence model and autonomous unmanned medical treatment.The present situation in first-aid robotics equipment was reviewed for first-aid diagnosis,treatment,assistance and transportation.The development trends of the key technology and equipment of first-aid robotics were analyzed.It was pointed out the involve-ment of big model-based embodied intelligence technology and digital twins technology in first aid might provide new pers-pectives for the application and advancement of specialized first-aid robotics.[Chinese Medical Equipment Journal,2025,46(3):96-114]

Objective:To establish a quantitative analysis of multi-components by single marker(QAMS)for the determination of 6 alkaloid components,which is benzoylmesaconine,benzoyl-hypaconine,benzoylaconine,mesaconitine,hypaconitine,and aconitine in Zhachong Shisanwei Pills,and prove the scientificity and feasibility of the method in the quality analysis.Methods:The chromatographic separation was performed on an Agilent Eclipse Plus C18(250 mm×4.6 mm,5 μm)with gradient elution using 0.1 mol·L-1 ammonium acetate(0.5 mL of gla-cial acetic acid per 1 000 mL)(A)-acetonitrile:tetrahydrofuran(25∶15)(B),as the mobile phase(0-50 min,18%B-28%B),the detection wavelength was switched from 235 nm,the column temperature was kept at 40℃and the flow rate was 1.0 mL·min-1.The relative correction factors(fs/i)were established with the other 5 compo-nents to be measured using benzoylaconine as the internal reference,which were used to calculate the mass fraction of each component.At the same time,the mass fractions of the 6 effective constituents in Zhachong Shisanwei Pills were calculated by the external standard method(ESM).By comparing the content results of ESMand QAMS,the accura-cy of QAMS method were evaluated.Results:The relative correction factors(fs/i)of benzoylmesaconine,benzoylhyp-aconine,mesaconitine,hypaconitine,and aconitine in Mongolian medicine Zhachong Shisanwei Pills were reproduci-ble with good reproducibility,which were 0.680 4,0.450 6,0.850 8,0.676 1 and 0.757 0,the result obtained by QAMS approximated those obtained by external standard method(ESM).Conclusion:The method is simple,stable and reproducible,and can be used for the quality control of 6 alkaloid components in Zhachong Shisanwei Pills.

Objective To investigate the effects of light-at-night exposure on anxiety and depression behaviors in mice and to explore the underlying neural mechanisms.Methods Six-week-old male C57BL/6J mice were randomly assigned to a control(Ctrl)group and a light-at-night exposure(LAN)group.Mice in the LAN group were exposed to 460 nm blue light for 1 h daily during the zeitgeber time(ZT)13-14 while the Ctrl group mice were maintained under a 12-h light/12-h dark cycle.Behavioral tests were conducted at different time points following LAN exposure to evaluate anxiety and depression behaviors in the mice.Immunofluorescence staining was used to observe the effect of LAN on c-fos expressions in the medial prefrontal cortex(mPFC),basal ateral amygdala(BLA),paraventricular nucleus(PVN)and paraventricular thalamus(PVT).ELISA was performed to measure changes in serum corticosterone,adrenocorticotropic hormone(ACTH)and corticotropin-releasing hormone(CRH)levels.Golgi staining was applied to measurethe dendritic spine density and morphology from mPFC and CA1.Western blotting analysis was conducted to detect expression levels of brain-derived neurotrophic factors(BDNFs),phosphorylated tropomyosin receptor kinase B(p-TrkB)/TrkB,postsynaptic density protein 95(PSD95)and synaptophysin(SYP)in the mPFC.Results Mice exhibited anxiety-like behaviors after 14 days of LAN exposure,with depression-like behaviors emerging after 28 days.LAN exposure of 28 days led to a significant increase in the number of c-fos-positive neurons in the mPFC,BLA,PVN and PVT(P＜0.05),resulted in elevated serum corticosterone levels(P＜0.01)and reduced protein expression levels of BDNF and SYP(P＜0.05).Furthermore,there was a marked decrease in synapse numbers and synaptic density in the mPFC(P＜0.01).Conclusion Prolonged exposure to blue light at night enhances neuronal activity in the mPFC and BLA and suppresses the BDNF/TrkB signaling pathway by activating the hypothalamic-pituitary-adrenal axis(HPA),thus leading to synaptic structural and functional damage and inducing anxiety and depression behaviors in mice.

Atherosclerosis (AS) is a prevalent clinical vascular condition and serves as a pivotal pathological foundation for cardiovascular diseases. Understanding the pathogenesis of AS has significant clinical and societal implications, aiding in the development of targeted drugs. Neutrophils, the most abundant leukocytes in circulation, assume a central role during inflammatory responses and closely interact with AS, which is a chronic inflammatory vascular disease. Neutrophil extracellular traps (NETs) are substantial reticular formations discharged by neutrophils that serve as an immune defense mechanism. These structures play a crucial role in inducing dysfunction of the vascular barrier following endothelial cell injury. Components released by NETs pose a threat to the integrity of vascular endothelium, which is essential as it acts as the primary barrier to maintain vascular wall integrity. Endothelial damage constitutes the initial stage in the onset of AS. Recent investigations have explored the intricate involvement of NETs in AS progression. The underlying structures of NETs and their active ingredients, including histone, myeloperoxidase (MPO), cathepsin G, neutrophil elastase (NE), matrix metalloproteinases (MMPs), antimicrobial peptide LL-37, alpha-defensin 1-3, and high mobility group protein B1 have diverse and complex effects on AS through various mechanisms. This review aims to comprehensively examine the interplay between NETs and AS while providing insights into their mechanistic underpinnings of NETs in this condition. By shedding light on this intricate relationship, this exploration paves the way for future investigations into NETs while guiding clinical translation efforts and charting new paths for therapeutic interventions.
Extracellular Traps/physiology* ; Humans ; Atherosclerosis/immunology* ; Neutrophils/physiology* ; Leukocyte Elastase/metabolism* ; Peroxidase/physiology* ; Matrix Metalloproteinases/physiology* ; Cathepsin G/metabolism* ; Cathelicidins ; HMGB1 Protein/physiology* ; Histones ; Animals ; Endothelium, Vascular

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.