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.

This study was aimed at comparing performance differences among three metagenomic sequencing platforms,MGISEQ-2000,Illumina NextSeq 2000,and Ion GeneStudio S5 Plus,to optimize the sequencing process for trace samples.The three sequencing platforms were used to perform high-throughput sequencing on DNA standards and simulated samples.Through analysis of the quality of raw data and microbial detection capabilities,systematic differences among platforms were compared.The sequencing results were optimized for trace samples by incorporation of exogenous nucleic acids during the li-brary preparation process.In terms of data output per batch and base quality,MGISEQ-2000 surpassed the other two plat-forms.Illumina NextSeq 2000 had the lowest proportion of duplicate reads,whereas Ion GeneStudio S5 Plus had the highest proportion,and significant differences were observed across platforms(P＜0.001).In sequencing uniformity,MGISEQ-2000 and Illumina NextSeq 2000 were superior to Ion GeneStudio S5 Plus.MGISEQ-2000 provided a substantial advantage in microbial detection capability(P＜0.001),but the advantage diminished with decreasing bacterial fluid concentration.Ion GeneStudio S5 Plus had the shortest duration for single-batch sequencing.Moreo-ver,for trace samples with DNA content ≤0.05 ng,the experi-mental group(with added exogenous nucleic acids)achieved a higher number of reads than the control group(without exogenous nucleic acids),with a 11.09±8.03 fold increase.In conclu-sion,the different sequencing platforms each had advantages and disadvantages,thus allowing researchers to choose the appro-priate platform according to specific needs.Furthermore,the addition of exogenous nucleic acids improved the microorganism detection efficiency,and provided better support for subsequent diagnosis and evaluation of results.

Objective:To analyze the clinical phenotype and gene mutation of a genetic coagulation factor Ⅻ(FⅫ)deficiency pedigree and explore the molecular pathogenesis.Methods:The activated partial thromboplastin time(APTT)and FⅫ activity(FⅫ:C)were detected by clotting method.The FⅫ antigen(FⅫ:Ag)was tested with ELISA.All exons and flanks of F12 gene were determined by Sanger sequencing.ClustalX-2.1-win,PROVEAN and Swiss-Pdb Viewer software were used to analyze the conservatism of amino acids at the mutant site,forecast whether the mutant amino acids were harmful and confirm the influence of the mutation on protein structure.Results:The APTT of the proband prolonged to 71.3 s.The FⅫ:C and FⅫ;Ag were decreased to 5％and 6％,respectively.There were two heterozygous missense mutations c.580G＞T and c.1681G＞A detected in exon 7 and exon 14 of F12 gene,resultingin p.Gly175Cys and p.Gly542Ser,severally.Proband's father carried the p.Gly175Cys heterozygous mutation,while mother,brother and daughter had the p.Gly542Ser heterozygous mutation.Software analysis showed that both Gly175 and Gly542 were conserved,the two mutations were harmful and when mutations had occurred,the corresponding sites affected the protein local structure.Conclusion:The p.Gly175Cys and p.Gly542Ser compound heterozygous mutations are the molecular pathogenesis of the hereditary coagulation FⅫ deficiency pedigree.The p.Gly175Cys mutation has been detected for the first time in the world.

Objective:To explore the therapeutic efficacy and prognostic factors of induction therapy for secondary central nervous system lymphoma(SCNSL).Methods:Clinical data of patients diagnosed with SCNSL from 2010 to 2021 at Guangdong Provincial People's Hospital were retrospectively collected.A retrospective cohort study was performed on all and grouped patients to analyze the efficacy and survival.Multivariate logistic regression analysis was used to explore the adverse prognostic factors.Results:Thirty-seven diffuse large B-cell lymphoma patients with secondary central involvement were included in the research.Their 2-year overall survival(OS)rate was 46.01％and median survival time was 18.1 months.The 2-year OS rates of HD-MTX group and TMZ group were 34.3％and 61％,median survival time were 8.7 and 38.3 months,and median progression-free survival time were 8.1 and 47 months,respectively.Multivariate logistic regression analysis showed that age,sex,IPI,Ann Arbor stage were correlated with patient survival time.The median survival time of patients with CD79B,KMT2D,CXCR4.ERBB2,TBL1XR1,BTG2,MYC,MYD88,and PIM1 mutations was 8.2 months,which was lower than the overall level.Conclusion:HD-MTX combined with TMZ as the first-line strategy may improve patient prognosis,and early application of gene sequencing is beneficial for evaluating prognosis.

Objective:To analyze the factors influencing sarcopenia in older patients with chronic diseases, both in community settings and hospitals, and to develop a risk prediction model for sarcopenia.Methods:We recruited a total of 403 older adults with chronic diseases, consisting of 251 individuals from a community in Nanjing, Jiangsu Province, and 152 hospitalized patients from the Department of Geriatrics at Jiangsu Province Hospital.Assessments were conducted using a general information questionnaire, serum sample collection, the mini nutritional assessment-short form(MNA-SF), the mini-mental state examination(MMSE), and the geriatric depression scale(GDS).Binary Logistic regression analysis was employed to identify influencing factors and to construct a risk prediction model for sarcopenia, which was illustrated using a nomogram.The model's discrimination was evaluated using the receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results:The prevalence of sarcopenia among community-dwelling older adults with chronic conditions was found to be 4.0%(10/251).In contrast, the prevalence in hospitalized older adults with chronic conditions was significantly higher at 36.2%(55/152).Binary Logistic regression analysis identified several independent risk factors for sarcopenia, including hospitalization( OR=14.391、95% CI: 6.284-32.955、 P<0.001), male gender( OR=3.321、95% CI: 1.587-6.950、 P=0.001), lower low-density lipoprotein cholesterol(LDL-C)levels( OR=2.542、95% CI: 1.160-5.572、 P=0.020), cognitive impairment( OR=2.654、95% CI: 1.269-5.550、 P=0.010), and the use of four or more types of medication( OR=2.328、95% CI: 1.952-5.689、 P=0.044).Based on these risk factors, a nomogram was developed as a predictive model for assessing sarcopenia risk.The AUC for this prediction model was 0.860(95% CI: 0.815-0.912), indicating a sensitivity of 0.831 and a specificity of 0.760. Conclusions:The incidence of sarcopenia is notably high among older patients with chronic diseases.A risk prediction model that incorporates factors such as hospitalization history, gender, LDL-C levels, cognitive function, and types of medication demonstrates significant potential for predicting sarcopenia.This model serves as a valuable foundation for the early screening and intervention of sarcopenia.

Objective To develop a portable,modular and multifunctional surgical instrument kit with intelligent recognition for disaster relief.Methods The surgical instrument kit had three variations for thorax and abdomen,limbs and cranium and brain,which was composed of a lip,partitions and drawers.A traceability code was pasted on each surgical instrument kit,and each instrument in the kit was equipped with a RF chip.Results The surgical instrument kit made the average time for operating table preparation and instrument arrangement and that for instrument counting both shortened effectively,and thus the efficiency of medical staffs were enhanced greatly.Conclusion The surgical instrument kit gains advantages in rational configuration and easy operation,and can be used for surgical operation in disaster conditions.[Chinese Medical Equipment Journal,2024,45(2):113-117]

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To analyze the antimicrobial susceptibility,molecular types,serotypes,virulence factors and resistance mechanisms of Streptococcus agalactiae(S.agalactiae)isolated from pregnant women with ad-vanced maternal age in Tangshan City,and provide basic data for the treatment,prevention and control of S.aga-lactiae infection.Methods 42 strains of S.agalactiae isolated from pregnant women with advanced maternal age in North China University of Science and Technology Affiliated Hospital as well as Tangshan Maternal and Child Health Hospital were collected.Detection of antimicrobial susceptibility and whole genome sequencing of 13 antimi-crobial agents were performed.Results The percentage of tetracycline,erythromycin,levofloxacin,and chloram-phenicol concurrently resistant strains was 7.1％,35.7％of the strains presented multidrug resistance to erythro-mycin,clindamycin,and levofloxacin.The carriage rates of resistance genes ermB and tetM were 66.7％and 47.6％,respectively.29 strains(69.0％)exhibited mutations in both gyrA and parC fluoroquinolone resistance determi-nants.42 strains of S.agalactiae belonged to 4 serotypes,namely ⅠB(35.7％),Ⅲ(33.3％),Ⅴ(26.2％),andⅠA(4.8％);and 11 sequence types(STs),with the highest proportion being ST10(35.7％)and ST19(31.0％);as well as 6 clonal complexes(CCs),among which CC19(42.9％)and CC12(35.7％)had the highest proportion.All S.agalactiae carried virulence factor-encoding genes of cfb,cylE,and pavA.Conclusion The molecular types and serotypes of S.agalactiae carried by pregnant women with advanced maternal age in Tangshan City pre-sent polymorphism,with obvious multidrug resistance,and carry multiple types of drug resistance genes and viru-lence genes.

In addition to providing energy for cells, mitochondria also participate in calcium homeostasis, cell information transfer, cell apoptosis, cell growth and differentiation. Therefore, maintaining mitochondrial homeostasis is very crucial for the body to carry out normal life activities. Ubiquitination, a post-translational modification of proteins, is involved in various physiological and pathological processes of cells by regulating mitochondrial homeostasis. However, the mechanism by which ubiquitination regulates mitochondrial homeostasis has not been summarized, especially the effect of Parkin protein on cardiovascular diseases. In this paper, the specific mechanism of mitochondrial homeostasis regulated by ubiquitination of Parkin protein is discussed, and the influence of mitochondrial homeostasis imbalance on cardiovascular diseases is reviewed, with a view to providing potential therapeutic strategies for the clinical treatment of cardiovascular diseases.

Objective To investigate the potential mechanism of ibandronate sodium(IB)in alleviating inflammatory damage in diabetic osteoporosis rats by activating the nuclear transcription factor erythro 2-associated factor 2(Nrf2)/heme oxygenase-1(HO-1)signaling pathway.Methods Intraperitoneal injection of streptozotocin at several low doess was used to induce rat model of diabetes mellitus,then bilateral oophorectomy were used to establish type 2 diabetic osteoporosis(T2DOP)rat model.T2DOP model rats were divided into model group,control group,combined group and experimental-L,-M,-H groups,with 8 rats in each group;another 8 diabetic rats were selected as blank group.Model group was treated with normal saline.Control group was given the same volume of solvent.Experimental-L,-M,-H groups were given 2,10 and 50 mg·kg-1 IB.Combined group was treated with 50 mg·kg-1 IB and 50 mg·kg-1 ML385.Seven groups were administered intraperitoneally once a day for 12 weeks.After 12 weeks of treatment,the bone morphologic parameters were detected by calxanthoprotein double labeling method,the expression levels of Nrf2 and HO-1 pathway protein were detected by Western blot.Results The bone morphologic parameters of experimental-M,-H groups,combined group,control group,model group and blank group were 1.74±0.32,2.94±0.58,0.98±0.32,1.01±0.24,0.98±0.42 and 2.92±0.42;the relative expression levels of Nrf2 protein were 0.99±0.09,1.47±0.12,0.51±0.06,0.52±0.06,0.52±0.05 and 1.48±0.12;the relative expression levels of HO-1 protein were 1.02±0.11,1.33±0.14,0.61±0.05,0.59±0.06,0.62±0.06 and 1.29±0.13,respectively.The above indexes in the control group were statistically different with those in the experimental-M,-H groups(all P＜0.05).Conclusion IB repairs bone microstructure and alleviates inflammation in diabetic osteoporosis rats by activating the Nrf2/HO-1 signaling pathway.