Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

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.

Objective:To explore the structural characteristics of the medical service price network in the Yangtze River Delta,and provide a new management perspective for the collaborative governance of medical service prices in the Yangtze River Delta.Methods:Taking the related medical security bureaus of some core cities in the Yangtze River Delta as samples,based on the social network analysis method,the structural characteristics of price linkage network are analyzed from the perspectives of network density and correlation,individual centrality and block model analysis.Results:Firstly,the price network is not tight and has poor stability;secondly,the price network is unbalanced,with the Municipal Medical Insurance Bureau playing different roles;thirdly,the price network has obvious spatial aggregation and spatial spillover.Conclusion:The overall situation of the medical service price linkage network is not optimistic,and the network advantages should be fully integrated to promote the coordinated development of medical service prices in the Yangtze River Delta Region.

Objective To analyze the clinical manifestations of delayed serological transfusion reactions(DSTR)after platelet transfusion in tumor patients,and to explore the transfusion strategy.Methods Clinical data and laboratory test re-sults of patients with positive antibody screening were analyzed after platelet transfusion in our hospital from January 1,2015 to June 30,2023,and the incidence rate,clinical characteristics and transfusion strategy of patients with DSTR were ana-lyzed.Results A total of 2 553 patients with 6 057 platelet transfusions were reviewed.Eight patients developed DSTR and received a total of 21 therapeutic amounts of platelets,and 5 patients were subsequently transfused with red blood cells.Rh system antibodies were detected in 7 cases(4 anti-E,1 anti-c/E,1 anti-C and 1 anti-c)and Kell system antibodies in 1 case.Conclusion Tumor patients may also develop DSTR after platelet transfusion.It is necessary to pay close attention to the antibody situation and perform matched transfusion when transfusing blood again.

The objective of this study was to analyze the effects on cell viability, apoptosis, and cell cycle of non-small cell lung cancer (NSCLC) A549 cells after intervention with Agrimonia pilosa (AP) and investigate Agrimonia pilosa anti-tumor activity in vitro. Meanwhile, liquid chromatography mass spectrometry (LC-MS) metabolomics technology was used to analyze the changes of cellular metabolites and metabolic pathways. The results of this study will provide a theoretical and experimental basis for investigating the mechanism of the effect of Agrimonia pilosa on non-small cell lung cancer A549 cells. The results showed that the cell nucleus of A549 cells crumpled and apoptosis occurred with the increase of drug concentration. The survival rate of the cells decreased, and the inhibition rate reached 21.5% and 91.74% under the low and high dose conditions, respectively. Lactate dehydrogenase (LDH) content increased (P < 0.05). Metabolomics results showed significant differences in metabolism between groups, thirty-three distinct metabolites including LysoPC(24:0/0:0), LysoPC(17:0/0:0) and PC(O-40:5) were deduced. The pathway enrichment showed that the Agrimonia pilosa plays an anti-tumor role mainly by regulating the metabolism of glycerophosphate and purine in A549 cells, in which the effect on glycerophosphate metabolism pathway was most significant. The results of combined pharmacodynamics suggested that Agrimonia pilosa might induce apoptosis and inhibit the growth of A549 cells by regulating LysoPC(24:0/0:0), LysoPC(17:0/0:0) and PC(O-40:5) metabolites in A549 cells.

Sirtuins(SIRTs),a group of NAD+dependent deacetylases,have attracted considerable attention in the field of neuro-degenerative diseases,especially Parkinson's disease(PD).They have critical impacts on cell survival and death through modulation of various biological processes,such as intracellular metabolism,stress response and DNA repair.In the pathogenesis of PD,Sirtuins play a crucial role and associated with pathophysiological processes such as mitochondrial function,oxidative stress,and neuronal apoptosis.Activa-tion of Sirtuins alleviates dyskinesia and neuronal damage in animal models of PD and also regulates the aggre-gation and clearance of α-synuclein,a pathological feature of the disease.Therefore,the modulation of Sirtuins is a potential strategy for treating PD.

mRNA vaccine technology has made significant progress in recent years, especially with the large-scale application driven by the COVID-19 pandemic. Moderna and Pfizer/BioNTech vaccines have become central tools in the global fight against the virus, demonstrating the potential of the mRNA platform for rapid design, production, and strong immune responses. These vaccines showcase the unique advantages of rapid response and effective protection. At the same time, mRNA technology still faces challenges, such as stability and targeted delivery. Future research will focus on improving the stability and safety of mRNA vaccine and expanding its application to more infectious diseases and cancer treatments. This article reviews platforms of mRNA vaccine, vaccine design, development of delivery system, and the application of mRNA vaccines, in order to enhance the understanding of professionals and accelerate the layout of this technology in vaccine research and application in China.

mRNA vaccine technology has made significant progress in recent years, especially with the large-scale application driven by the COVID-19 pandemic. Moderna and Pfizer/BioNTech vaccines have become central tools in the global fight against the virus, demonstrating the potential of the mRNA platform for rapid design, production, and strong immune responses. These vaccines showcase the unique advantages of rapid response and effective protection. At the same time, mRNA technology still faces challenges, such as stability and targeted delivery. Future research will focus on improving the stability and safety of mRNA vaccine and expanding its application to more infectious diseases and cancer treatments. This article reviews platforms of mRNA vaccine, vaccine design, development of delivery system, and the application of mRNA vaccines, in order to enhance the understanding of professionals and accelerate the layout of this technology in vaccine research and application in China.

Objective To understand the pathogen detection of hospitalized patients before antimicrobial therapy in a hospital through implementation of comprehensive intervention measures,and provide reference basis for the de-velopment of targeted measures.Methods Hospitalized patients who received therapeutic antimicrobial agents in this hospital were selected as the research subjects.Patients who were hospitalized from January to May 2022 were selected as the pre-intervention group,comprehensive intervention measures were taken from June to October 2022,and those who were hospitalized from November 2022 to March 2023 were selected as the post-intervention group.The pathogen detection rate before antimicrobial therapy,sterile specimen detection rate,antimicrobial use rate,de-tection rate of key multidrug-resistant organisms of patients before and after the intervention were analyzed.Results Compared to before intervention,the proportion of pathogen detection rate before antimicrobial therapy(62.09％vs 74.04％),detection rate of healthcare-associated infection diagnosis-related pathogens(62.82％vs 92.73％),and sterile specimen detection rate(35.17％vs 41.06％)of hospitalized patients after intervention all increased signifi-cantly,with statistically significant differences(all P＜0.05).After intervention,pathogen detection rate before the combination use of key antimicrobial agents was not statistically different from before intervention(93.33％vs 90.48％,P＞0.05),while antimicrobial use rate was lower than before intervention(39.93％vs 44.95％,P＜0.05).There was no statistically significant difference in the detection rate of key multidrug-resistant organisms be-fore and after intervention(all P＞0.05).Conclusion Adopting scientific and rational intervention measures can improve the pathogen detection rate,provide a reference basis for the rational use of antimicrobial agents.There was no significant improvement in the pathogen detection rate before the combination use of key antimicrobial agents and the detection rate of key multidrug-resistant organisms,indicating that relevant measures still need to be further optimized.

Objective To explore the quantitative evaluation of integrity risk prevention and control in public hospitals,provide reference for improving the quality and efficiency of integrity risk prevention and control.Methods Self-designed"Inspection Standards for Integrity Risk Prevention and Control of Power Matters in Public Hospitals"was used to score and rate the power matters provided by each functional department/clinical department of West China Hospital of Sichuan University from three aspects:the clarity of power operation process,the accuracy of finding integrity risk points,the effectiveness of prevention and control measures.Results A total of 236 power matters of the hospital were inspected for integrity risk prevention and control,and according to the inspection criteria,57 items were rated as first grade,103 items were rated as second grade,and 76 items were rated as third grade,accounting for 24.15％,43.64％and 32.20％,respectively.The score for the special work of integrity risk prevention and control was 5.82±1.92 points,of which the process dimension score was 2.11±0.75 points,the risk points dimension score was 1.89±0.92 points,the prevention and control dimension score is 1.89± 0.79 points,which reflects the problems of unclear workflow,inaccurate finding of individual risk points,and unspecified prevention and control measures in some units.Conclusion Hospitals should focus on the concreteness,accuracy,salience and quantification in the long-term construction of integrity risk prevention and control from the aspects of thought,behavior,effectiveness and evaluation.