Helicobacter pylori （H. pylori） infection is not only associated with gastrointestinal diseases， but also potentially links with neuropsychiatric disorders revealed by recent studies. Through a systematic review of the existing literature， this review summarizes epidemiological evidence for the association between H. pylori infection and diseases such as Parkinson′s disease （PD）， Alzheimer′s disease （AD）， multiple sclerosis （MS）， migraine， depression， and anxiety disorders， and further explores potential mechanisms by which it affects central nervous system function， including neural pathways mediated by the enteric nervous system and the vagus nerve， immune pathways mediated by inflammatory cytokines， and endocrine pathways mediated by gut microbial metabolites. Additionally， the current challenges facing H. pylori eradication therapy and the prospects for emerging adjuvant strategies such as probiotics and fecal microbiota transplantation are discussed. Finally， future research directions are outlined， emphasizing the need for prospective cohort studies based on standardized diagnostic methods and further investigation using animal models to elucidate the pathophysiological mechanisms， with the aim of providing new perspectives for the prevention， treatment， and early intervention of related neuropsychiatric disorders.

ObjectiveTo explore the effects of "dryness pathogen" on a bronchial asthma rat model from the perspective of the prostaglandin D₂ （PGD₂）/eosinophil （EOS） axis. MethodsForty SD rats were randomly divided into five groups， blank group， asthma group， mild dryness asthma group， moderate dryness asthma group， and severe dryness asthma group， with 8 rats in each group. The asthma model was induced in the asthma group using ovalbumin （OVA）， while the asthma-dryness syndrome groups were modeled using a climate chamber combined with OVA to establish animal models of bronchial asthma with Northwest dryness syndrome. During modeling， general behavioral performance of the rats in each group was observed and recorded， and body weight， water intake， and asthma symptom scores were compared. On day 21 of the modeling， small animal respiratory system testing was used to measure respiratory rate and intermittent respiratory contraction index. Pathological changes in rat lung tissues were observed using HE staining. Giemsa staining was used to observe eosinophil （EOS） infiltration in lung tissues and calculate EOS counts. ELISA was used to detect serum levels of prostaglandin D₂ （PGD₂）， interleukin-5 （IL-5）， and interleukin-4 （IL-4）. Western Blot was used to detect eosinophil peroxidase （EPX） and prostaglandin D₂ receptor （CRTH2） protein levels in rat lung tissues. ResultsCompared to the blank group， the average water intake of rats in all asthma-dryness groups increased （P＜0.01）. The body weight of rats decreased in the moderate and severe asthma-dryness groups on day 14， and in all modelling groups on day 21 （P＜0.05 or P＜0.01）. Across all model groups， the asthma symptom score， respiratory rate， intermittent respiratory contraction index， EOS count in lung tissue， serum levels of PGD₂， IL-5， and IL-4， as well as the relative protein expression levels of EPX and CRTH2 in lung tissue all significantly increased （P＜0.01）. Compared to the asthma group， the water intake of rats in the mild， moderate， and severe asthma-dryness groups increased （P＜0.01）. On day 21 of the experiment， the body weight of rats in the moderate and severe asthma-dryness groups decreased （P＜0.05）， and the respiratory rate of rats in all asthma-dryness groups increased， as well as the serum levels of PGD₂， IL-5， and IL-4， and the relative protein expression levels of EPX and CRTH2 in lung tissues （P＜0.05 or P＜0.01）. Furthermore， in the moderate and severe asthma-dryness groups， the asthma symptom scores and intermittent respiratory contraction indices were elevated， and the EOS counts in lung tissue increased （P＜0.05 or P＜0.01）. Compared to the mild asthma-dryness group， serum levels of PGD₂， IL-5， and IL-4 in the severe asthma-dryness group increased， as well as the relative protein expression levels of EPX and CRTH2 in lung tissue （P＜0.05 or P＜0.01）. Pathological observation showed that rats in all asthma-dryness syndrome groups exhibited increased inflammatory infiltration in the lung tissue， alveolar wall thickening， luminal narrowing， pulmonary interstitial congestion， and aggravated viscous secretions. These pathological manifestations worsened as the degree of dryness increased. ConclusionThe "dryness pathogenic factor" can exacerbate bronchial asthma symptoms and lung tissue pathological damage through the PGD₂/EOS axis， and the damage progressively worsens with the increasing severity of the dryness pathogen.

Perforin 2(MPEG 1)is a member of the MACPF(membrane attack complex/PRF membrane attack complex/perforin)superfamily,which is mainly secreted by cytotoxic T lymphocytes,natural killer cells and mac-rophages Through the formation of active pores on the target cell membrane,perforin 2 participates in altering the permeability-pressure of the target cell,or collaborates with granzymes to induce the apoptosis of target cells.Re-cently,with the development of molecular biology,MPEG 1 has been increasingly studied,and the unique gene se-quence and cell types of perforin 2 have specific functions and adaptive evolution in different immune cells,which may determine its performance and therapeutic potential in different disease states.

The in-depth research of artificial intelligence in the medical field has greatly improved the workflow and diagnostic ability of diagnostic radiology.This article focuses on artificial intelligence technology in the field of interventional medicine,and enumerates its potential application scenarios,including improving image analysis capabilities to assist diagnosis and predict treatment response.It also describes the challenges that need to be overcome for practical application.Finally,with the continuous development of artificial intelligence in interventional medicine,artificial intelligence will further optimize the channels of interventional medicine and bring revolutionary changes to the clinical practice of interventional medicine.

Mitochondria play a crucial role as organelles,managing several physiological processes such as redox balance,cell metabolism,and energy synthesis.Initially,the assumption was that mitochondria primarily resided in the host cells and could exclusively transmit from oocytes to offspring by a mechanism known as vertical inheritance of mitochondria.Recent scholarly works,however,suggest that certain cell types transmit their mitochondria to other developmental cell types via a mechanism referred to as inter-cellular or horizontal mitochondrial transfer.This review details the process of which mitochondria are transferred across cells and explains the impact of mitochondrial transfer between cells on the efficacy and functionality of cancer cells in various cancer forms.Specifically,we review the role of mitochondria transfer in regulating cellular metabolism restoration,excess reactive oxygen species(ROS)generation,proliferation,invasion,metastasis,mitophagy activation,mitochondrial DNA(mtDNA)inheritance,im-mune system modulation and therapeutic resistance in cancer.Additionally,we highlight the possibility of using intercellular mitochondria transfer as a therapeutic approach to treat cancer and enhance the efficacy of cancer treatments.

Objective:To investigate the clinical manifestations, treatment, and outcomes of Barth syndrome (BTHS).Methods:A retrospective analysis was conducted on 21 pediatric patients diagnosed with BTHS between January 2010 and December 2023 at Beijing Children′s Hospital, Beijing Anzhen Hospital, and Beijing JingDu Children′s Hospital. Clinical data including gender, age at onset, initial symptoms, clinical manifestations, personal history, family genetic history, and laboratory tests (neutrophil count, echocardiography, electrocardiogram and genetic testing) were reviewed.Results:All the 21 patients were male, with the age of onset at 4.1 (1.1, 9.3) months. Main clinical manifestations included heart failure (18 cases), neutropenia (16 cases), respiratory symptoms (15 cases), 3-methylpentenediuria (7 cases),develop retardation (8 cases), gastrointestinal symptoms (7 cases), fatigue and anorexia (6 cases), and recurrent infection (2 cases). Electrocardiogram abnormalities included ST changes (18 cases), flattened T wave and low voltage of limb leads (2 cases), and abnormal Q waves in lead Ⅰ and avL (1 case). Echocardiographic features showed increased trabeculation, interventricular septum and left ventricular wall thickening, and left ventricular enlargement with reduced ejection fraction. Genetic testing identified TAZ gene variations in all 21 patients: 11 missense mutations, 2 nonsense mutations, 2 frameshift mutations, 2 whole code mutations, 2 exon deletions, 1 splicing mutation, and 1 synonymous mutation. Fifteen mutations were maternally inherited, 2 were de novo, and 4 lacked verified variant origin.In terms of treatment, all 18 patients with heart failure received routine heart failure treatment, of whom 11 patients also received intravenous immunoglobulin and corticosteroids. After the follow-up of 91.0 (75.5, 109.5) months, 15 of the 18 patients showed restoration of cardiac function after 4.5 (3.0, 9.8) months of treatment, with one case of significant improvement, while 2 cases suddenly died.Conclusions:BTHS predominantly affects males with early onset, mainly characterized by abnormal cardiac structure and function, along with clinical features including fatigue, delayed growth and development, and neutropenia. Early diagnosis and intervention, including heart failure treatment, intravenous immunoglobulin, and corticosteroids, can lead to significant improvement in cardiac function, though sudden death remains a risk.

Objective:To develop a deep learning-based segmentation model for anterior segment ultrasound biomicroscopy (UBM) images to automatically segment the anterior segment tissues of patients with primary angle-closure glaucoma (PACG).Methods:A single-center retrospective case series was conducted.A small-scale dataset comprised 468 UBM images of the anterior chamber angle closure from 156 patients with PACG who underwent the UBM examination at Tianjin Medical University Eye Hospital between July 12, 2022, and February 20, 2023.The UBM images were randomly split into a training dataset of 228 images and a testing dataset of 152 images using a random seed method in a ratio of 6∶4.The models were trained using the PSPNet model with MobileNet V2 and ResNet50 as backbones, the DeepLab v3+ model with MobileNet V2 and Xception as backbones, and the SegFormer model with MiT-B0 and MiT-B2 as backbones.The testing dataset was used for result prediction and to achieve segmentation of four regions: the cornea and sclera, iris, ciliary body, and anterior lens surface.To evaluate the performance of the models in segmenting the anterior segment structures, multiple metrics were assessed, including the mean intersection over union (mIoU), Dice coefficient, precision, recall, false negative rate, and specificity.A comparative analysis of the test results across the different models was subsequently performed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2023KY-05).Results:The two models with the best segmentation performance were PSPNet and DeepLab v3+ .The PSPNet model with ResNet50 as the backbone achieved the mIoU of 85.11%, Dice coefficient of 91.38%, precision of 91.83%, recall of 90.94%, false negative rate of 9.06%, and specificity of 98.89%.The DeepLab v3+ model with MobileNet V2 as the backbone achieved an mIoU of 85.84%, Dice coefficient of 92.01%, precision of 92.67%, recall of 91.36%, false negative rate of 8.64%, and specificity of 98.90%.Among the five key metrics, mIoU, Dice coefficient, recall, false negative rate, and specificity, DeepLab v3+ exhibited the best segmentation performance.In addition, the DeepLab v3+ model with Xception as the backbone had the highest precision among all models, reaching 92.77%.Conclusions:The deep learning-based DeepLab v3+ model achieves precise segmentation of anterior segment tissue structures in PACG anterior segment UBM image segmentation, providing auxiliary support for clinical diagnosis.

Objective:To investigate the application value of gastric suspension method in supra-pancreatic lymph node dissection of laparoscopic radical gastrectomy of gastric cancer.Method:The retrospective cohort study was conducted. The clinicopathological data of 84 patients who under-went laparoscopic radical gastrectomy of gastric cancer at Zhejiang Cancer Hospital from August 2023 to July 2024 were collected. There were 61 males and 23 females, aged (64±11)years. Of the 84 patients, 42 patients undergoing supra-pancreatic lymph node dissection during laparoscopic radical gastrectomy of gastric cancer with traditional method for surgical field exposure were divided into the control group, and 42 patients undergoing supra-pancreatic lymph node dissection during laparoscopic radical gastrectomy of gastric cancer with gastric suspension method for surgical field exposure were divided into the suspension group. Observation indicators: (1) surgical conditions; (2) postoperative conditions. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Results:(1) Surgical condi-tions. The time for supra-pancreatic lymph node dissection of the control group was (78±14)minutes. Number of grasping operations was 116±34, number of bleeding sites caused by grasping operations was 7.8±2.7, and operation time was (3.9±0.8)hours. The above indicators of the suspension group were (59±12)minutes, 68±19, 2.1±1.5, and (3.3±0.7)hours, respectively. There were significant diffe-rences in the above indicators between the two groups ( t=5.42, 8.10, 8.31, 3.14, P<0.05). (2) Post-operative conditions. The tumor diameter was 2.5(2.0,3.5)cm for patients of the control group, versus 3.0(2.4, 4.4)cm for patients of the suspension group, showing a significant difference between the two groups ( Z=-1.98, P<0.05). Conclusion:Compared with the traditional non-suspension method, the gastric suspension method in laparoscopic radical gastrectomy of gastric cancer for supra-pancreatic lymph node dissection is associated with shorter operation time and less trauma.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

Objective To explore the efficacy and safety of 0.02％atropine eye drops for the treatment of nearwork-induced transient myopia(NITM)in adolescents.Methods A total of 131 adolescents with NITM were randomly divided into experimental(receiving 0.02％atropine eye drops)and control(receiving placebo)groups.Changes in the initial NITM values before medication and at 14 and 30 days after medication were observed.Alterations in intraocular pressure and accommodation amplitude were monitored,and the occurrence of complications,such as photophobia and near vision impairment,were recorded.Results The baseline NITM did not differ significantly between the two groups.On day 14 and day 30,the NITM values in the experimental group were significantly reduced compared to the baseline,with differences of 0.31 D±0.20 D and 0.30 D±0.16 D,which were significantly greater than those in the control group(0.21 D±0.98 D and 0.20 D±0.18 D,P＜0.001).The efficacy rate of NITM treatment in the experimental group was 84.4％,which was sig-nificantly higher than that in the control group(29.9％).After 30 days of treatment,no severe systemic or ocular adverse reactions were observed in the experimental group.Mild photophobia was the main adverse reaction.Conclusion 0.02％atropine eye drops can effec-tively reduce the initial NITM value in adolescents within a month of its use,with no severe complications and good tolerance.A clinical trial of atropine eye drops at different concentrations to reduce NITM over a longer period is warranted.