ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

The connection between tendons and bones is called the tendon bone connection. With the continuous improvement of national sports awareness, excessive exercises and the related intensity are prone to damage the tendon bone connection. Tendon bone healing is a complex repair and healing process involving multiple factors, and good tendon bone healing is a prerequisite for its physiological function. The complexity of tendon bone structure also poses great challenges to the repair of tendon bone injuries. In recent years, researches have found that stem cells, growth factors, macrophages, and other factors are closely related to the healing process of tendon bone injuries, among which macrophages play an important role in the healing process. The authors reviewed relevant research literature in recent years and summarized the role of macrophages in tendon bone healing, in order to provide new ideas and directions for treatment strategies to promote tendon bone healing.
Humans ; Macrophages/metabolism* ; Wound Healing ; Animals ; Tendons/physiology* ; Bone and Bones/injuries* ; Tendon Injuries

OBJECTIVES: To investigate the molecular epidemiology of children with phenylketonuria (PKU) in Gansu, China, providing foundational data for intervention strategies. METHODS: A retrospective analysis was conducted on 1 159 PKU families who attended Gansu Provincial Maternity and Child Care Hospital from January 2012 to December 2024. Sanger sequencing, multiplex ligation-dependent probe amplification, whole exome sequencing, and deep intronic variant analysis were used to analyze the PAH gene. RESULTS: For the 1 159 children with PKU, 2 295 variants were identified in 2 318 alleles, resulting in a detection rate of 99.01%. The detection rates were 100% (914/914) in 457 classic PKU families, 99.45% (907/912) in 456 mild PKU families, and 96.34% (474/492) in 246 mild hyperphenylalaninemia families. The 2 295 variants detected comprised 208 distinct mutation types, among which c.728G>A (14.95%, 343/2 295) had the highest frequency, followed by c.611A>G (4.88%, 112/2 295) and c.721C>T (4.79%, 110/2 295). The cumulative frequency of the top 23 hotspot variants reached 70.28% (1 613/2 295), and most variant alleles were detected in exon 7 (29.19%, 670/2 295). CONCLUSIONS Deep intronic variant analysis of the PAH gene can improve the genetic diagnostic rate of PKU. The development of targeted detection kits for PAH hotspot variants may enable precision screening programs and enhance preventive strategies for PKU.
Humans ; Phenylketonurias/epidemiology* ; Female ; Male ; Retrospective Studies ; Phenylalanine Hydroxylase/genetics* ; Mutation ; Child, Preschool ; China/epidemiology* ; Child ; Infant

OBJECTIVE: To explore and verify the effect and potential mechanism of Brucea javanica Seed Oil Emulsion Injection (YDZI) and Shengmai Injection (SMI) on peripheral microcirculation dysfunction in treatment of gastric cancer (GC). METHODS: The potential mechanisms of YDZI and SMI were explored through network pharmacology and verified by cellular and clinical experiments. Human microvascular endothelial cells (HMECs) were cultured for quantitative real-time polymerase chain reaction, Western blot analysis, and human umbilical vein endothelial cells (HUVECs) were cultured for tube formation assay. Twenty healthy volunteers and 97 patients with GC were enrolled. Patients were divided into surgical resection, surgical resection with chemotherapy, and surgical resection with chemotherapy combining YDZI and SMI groups. Forearm skin blood perfusion was measured and recorded by laser speckle contrast imaging coupled with post-occlusive reactive hyperemia. Cutaneous vascular conductance and microvascular reactivity parameters were calculated and compared across the groups. RESULTS: After network pharmacology analysis, 4 ingredients, 82 active compounds, and 92 related genes in YDZI and SMI were screened out. β-Sitosterol, an active ingredient and intersection compound of YDZI and SMI, upregulated the expression of vascular endothelial growth factor A (VEGFA) and prostaglandin-endoperoxide synthase 2 (PTGS2, P<0.01), downregulated the expression of caspase 9 (CASP9) and estrogen receptor 1 (ESR1, P<0.01) in HMECs under oxaliplatin stimulation, and promoted tube formation through VEGFA. Chemotherapy significantly impaired the microvascular reactivity in GC patients, whereas YDZI and SMI ameliorated this injury (P<0.05 or P<0.01). CONCLUSIONS YDZI and SMI ameliorated peripheral microvascular reactivity in GC patients. β-Sitosterol may improve peripheral microcirculation by regulating VEGFA, PTGS2, ESR1, and CASP9.
Humans ; Microcirculation/drug effects* ; Drugs, Chinese Herbal/administration & dosage* ; Stomach Neoplasms/physiopathology* ; Emulsions ; Male ; Plant Oils/administration & dosage* ; Brucea/chemistry* ; Middle Aged ; Female ; Drug Combinations ; Human Umbilical Vein Endothelial Cells/metabolism* ; Seeds/chemistry* ; Injections ; Vascular Endothelial Growth Factor A/metabolism* ; Aged ; Network Pharmacology

As a new generation of time-of-flight mass spectrometry,multiple-reflection time-of-flight mass spectrometry(MR-TOF-MS)has been increasingly applied in the fields such as nuclear physics,chemistry,and biology due to its ultra-high resolution and rapid analysis capabilities.However,the analytical performance of MR-TOF-MS largely depends on the ion bunch state entering the mass analyzer.In this study,a rectangular ion trap(RIT)was developed,designed and processed using printed circuit board technology,as an ion accumulating and focusing device for MR-TOF mass analyzer.Compared to traditional ion traps composed of two sets of planar electrodes,this RIT had higher voltage utilization efficiency,resulting in more efficient ion collection and focusing.The ions were cooled to a sufficiently small bunch for precise mass measurement with MR-TOF-MS mass spectrometry in only 1 ms of cooling time in the RIT,then orthogonally ejected to the MR-TOF mass spectrometer for mass analysis.Experimental results indicated that the working cycle,ion flux,and ion focusing state of the RIT fully met the requirements of the MR-TOF mass analyzer.When coupled with the MR-TOF mass analyzer,the RIT enabled MR-TOF-MS to achieve a mass resolution of 1.5×105.

Objective To study the bioequivalence of test and reference olmesartan tablet in Chinese healthy subjects after single dose under fasting and fed conditions.Methods A single-center,random,open,single-dose,two-preparations,double-period,crossover study was adopted.A total of 48 healthy adult male and female subjects(24 cases of fasting test and 24 cases of fed test)were included in the random crossover administration.Single oral dose 20 mg of test and reference were taken under fasting and postprandial conditions,respectively.Plasma concentration of olmesartan in plasma were determined by liquid chromatography tandem mass spectrometry.The main pharmacokinetic parameters were calculated by Phoenix WinNonlin 8.0 software.Results The main pharmacokinetic parameters of the test and reference preparations of olmesartan tablets in the fasting group were as follows:Cmax were(653.06±133.53)and(617.37±151.16)ng·mL-1,AUC0-t were(4 201.18±1 035.21)and(4 087.38±889.99)ng·mL-1·h,AUC0-∞ were(4 254.30±1 058.90)and(4 135.69±905.29)ng·mL-1·h.The main pharmacokinetic parameters of the test and reference preparations of olmesartan tablets in the postprandial group were as follows:Cmax were(574.78±177.05)and(579.98±107.74)ng·mL-1,AUC0-t were(3 288.37±866.06)and(3 181.51±801.06)ng·mL-1·h,AUC0-∞ were(3 326.11±874.26)and(3 242.01±823.09)ng·mL-1·h.Under fasting and postprandial conditions,the 90％confidence intervals of the main pharmacokinetic parameters of the test and reference preparations are both 80.00％-125.00％.Conclusion Under fasting and postprandial conditions,a single oral dose of test and reference preparations olmesartan tablets in Chinese healthy adult volunteers showed bioequivalence.

Objective To establish an ultra high performance liquid chromatography-tandem mass spectrometry method for the determination of lacidipine in plasma of beagle dogs was established.Methods It was pretreated by protein precipitation method and the internal standard was nimodipine.Chromatographic column:ACQUITYUPLC? BEH C8(2.1 mm x50.0 mm,1.7 μm),mobile phase:100％water containing 5 mmol·L-1 ammonium acetate-100％acetonitrile,flow rate:0.7 mL·min-1,column temperature:40 ℃,automatic injector temperature:4 ℃,injection volume:20 μL.Electrospray ionization source,positive ion mode,multi-reaction monitoring.The specificity,residual effect,standard curve and quantitative lower limit,precision and recovery,matrix effect and stability of the method were investigated.Results Lacidipine has a good linear relationship in the range of 0.10-50.0 ng·mL-1,r=0.996 6,the lower limit of quantification was 0.10 ng·mL-1.The specificity was good.The intra-and inter-relative standard deviation was less than 12％.The extraction recovery was higher than 80％,and the stability was good.Conclusion The method has the advantages of high sensitivity,simple operation and short analysis time,and was suitable for the pharmacokinetic study of lacidipine in Beagle dog plasma.

Abstract The harm of head injury in skateboarding is more serious. The common injury cause is fall, collision, high speed impact. The primary types of injury include skull fracture, subdural hemorrhage, brain laceration contusion and concussion. Older children and adolescents, males, longboard, inappropriate sports venue are important risk factors for severe traumatic brain injury. Designing special skateboard parks and wearing protective equipment (helmets) can effectively reduce the incidence and severity of head injuries. The occurrence of injury can be reduced by adopting both legislation and education measures.

Objective To develop a GIS-based 3D playback system for the flight human-plane data to realize the fusion of pilots'airborne flight data and physiological data.Methods The 3D playback system was developed with the Browser/Server(B/S)architecture,micro-server model,Java language and Spring Cloud technology framework,which was composed of three functional modules for flight process reproduction,physiological situational awareness and critical event calibration analysis.Results The system developed achieved time synchronization and data fusion of airborne flight data and physiological data with a time synchronization frequency of 1 Hz and a refresh rate of not less than 120 frames/s.Conclusion The system developed with high safety,stability,reliability and accuracy facilitates pilot in-flight physiological monitoring and fusion and simultaneous display of airborne flight data and physiological data,which can be used as an important platform for decision-making support in flight training.[Chinese Medical Equipment Journal,2024,45(10):14-19]

Objective To explore the application effect of multi-disciplinary team(MDT)model in hospital antimi-crobial management.Methods Relevant data on antimicrobial use in hospitalized patients in a hospital from January 2021 to December 2022 were analyzed retrospectively,January-December 2021 adopted conventional management mode and was as the control group,January-December 2022 adopted MDT management model and was as the inter-vention group.Antimicrobial therapy relevant indicators between two groups of patients were compared.Results After adopting the MDT management model,pathogen detection rate before the therapeutic antimicrobial use in the intervention group(73.62％)was higher than that in the control group(70.56％),difference was statistically sig-nificant(P＜0.001).Pathogen detection rate related to healthcare-associated infection diagnosis was 87.98％in the control group and 88.89％in the intervention group,with no statistically significant difference between two groups(P＞0.05).Pathogen detection rate before combined use of key antimicrobial agents in the intervention group(93.94％)was higher than that in the control group(92.00％),difference was statistically significant(P＜0.05).Antimicro-bial use rate in hospitalized patients and use rate of prophylactic antimicrobial agents in class Ⅰ incision surgery de-creased from 38.03％and 21.03％to 32.78％and 10.30％,respectively,with statistically significant differences(both P＜0.05).The amount and intensity of antimicrobial use in hospitalized patients in the intervention group de-creased.The implementation rate of bundled prevention and control measures for multidrug-resistant organism(MDRO)after intervention was significantly higher than that of the control group,with statistically significant differences(all P＜0.05).MDRO detection rate decreased from 34.70％to 32.37％,difference was statistically significant(P=0.027).there was no significant change in the MDRO case infection rate.Conclusion The MDT model can effectively improve the standardized management of antimicrobial agents,promote the rational use of anti-microbial agents in clinical practice,and prevent bacterial resistance.