1.Adolescent Smoking Addiction Diagnosis Based on TI-GNN
Xu-Wen WANG ; Da-Hua YU ; Ting XUE ; Xiao-Jiao LI ; Zhen-Zhen MAI ; Fang DONG ; Yu-Xin MA ; Juan WANG ; Kai YUAN
Progress in Biochemistry and Biophysics 2025;52(9):2393-2405
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.
2.Effect of Herbal Cake-Separated Moxibustion on the Expression of PI3K/AKT/mTOR in Atherosclerotic Rabbits
Han PENG ; Hong-Fen YI ; Xin-Yu CHEN ; Qian LI ; Meng-Xia XIAO ; Hong-Hua LIU ; Mai-Lan LIU
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(7):1839-1844
Objective To investigate the anti-atherosclerotic mechanism of herbal cake-separated moxibustion.Methods Twenty-four New Zealand purebred male rabbits were randomly divided into normal group,model group,herbal cake-separated moxibustion group and Atorvastatin group,with 6 rabbits in each group.Except for the normal group,the rabbits in the other groups were fed with high-fat diet mixed with Propylthiouracil(PTU)method to construct an atherosclerosis model.At the same period of modeling,corresponding intervention was given.After 12 weeks,the levels of serum total cholesterol(TC),triglyceride(TG)and low density lipoprotein cholesterol(LDL-C)were detected.The pathological changes of rabbit aortic tissue were observed by hematoxylin-eosin(HE)staining.The levels of serum tumor necrosis factor α(TNF-α),interleukin 6(IL-6)and interleukin 10(IL-10)were detected by enzyme-linked immunosorbent assay(ELISA).The contents of phosphatidylinositol 3-kinase(PI3K),phosphorylated protein kinase B(p-AKT)and phosphorylated mammalian target of rapamycin(p-mTOR)in myocardial tissue were detected by Western Blot.Results Compared with the normal group,the serum levels of TC,TG and LDL-C in the model group were significantly increased(P<0.001),the aortic vascular endothelial structure was significantly damaged,the serum levels of TNF-α and IL-6 were increased(P<0.001),the serum level of IL-10 was decreased(P<0.01),and the protein expression levels of PI3K,p-AKT and p-mTOR in myocardial tissue were significantly decreased(P<0.05 or P<0.01).Compared with the model group,the above indexes in the herbal cake-separated moxibustion group and the Atorvastatin group were significantly improved(P<0.05 or P<0.01 or P<0.001).Compared with the Atorvastatin group,the contents of TG and LDL-C in the herbal cake-separated moxibustion group were increased(P<0.01),and other indicators did not change significantly(P>0.05).Conclusion The mechanism of anti-atherosclerosis of herbal cake-separated moxibustion may be related to the activation of PI3K/AKT/mTOR signaling pathway and the regulation of the expressions of inflammatory mediators TNF-α,IL-6 and IL-10.
3.Thalassemia Genotypes and HbA2 levels of Children in Wuzhou,Guangxi
Song-Xiao WEI ; Feng-Yuan LI ; Ying-Ying MAI ; Jian-Zhi LIANG
Journal of Experimental Hematology 2024;32(3):831-835
Objective:To analyze thalassemia genotypes and distribution of children in Wuzhou Guangxi,and evaluate the diagnostic value of HbA2 in children's thalassemia screening,so as to provide scientific evidence for the prevention and control strategies of thalassemia.Methods:Four hundred and fifty-eight children suspected with thalassemia in Wuzhou were enrolled from March 2017 to June 2022.The level of HbA2 was detected using Bio-Rad VARIANT Ⅱ Hb analysis system.The deletion of α-thalassemia was measured with gap-PCR assay,and the point mutation of α-and β-thalassemia was tested with DNA reverse dot blot hybridization assay.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of HbA2 for children's thalassemia.Results:A total of 304 thalassemia carriers were detected in 458 children,accounting for 66.38%.One hundred and seventy-five cases were defined to be α-thalassemia,with the main type of--SEA/αα(54.86%).Thirty-six cases were defined to be intermediate α-thalassemia,with the main type of-α3.7/--SEA(9.72%).In 108 cases with β-thalassemia,βCD41-42/βN was the main type,accounting for 49.07%,followed by βIVS-Ⅱ-654/βN(14.81%).Seven cases were moderate/severe β-thalassemia(predominantly β-28/β-28 and βCD41-42/βCD17)Twenty-one genotypes of α-and β-thalassemia were found in the children.There was significant difference of HbA2 level between the children with different types of thalassemia and healthy controls(all P<0.001).ROC curve analysis showed that the sensitivities of HbA2 for α-thalassemia,β-thalassemia and αβ-thalassemia were 74.3%,82.4%and 85.7%,with the optimal cut-off values of 2.60%,3.60%and 3.70%,respectively,the specificities were 64.3%,96.1%and 96.8%,and the area under the curve were 0.690,0.887 and 0.916,respectively.Conclusion:The thalassemia genotypes of children in Wuzhou are diverse.It is necessary to further strengthen the prevention and control measure of thalassemia to reduce birth defects and improve birth quality.
4.Research progress of NLRP3 inflammasome inhibitors
Chen-Guang LI ; Feng-Yi MAI ; Jing-Rong LIANG ; Wen-Tao YANG ; Jie GUO ; Jun-Xiang SHU ; Li-Zu XIAO
Chinese Pharmacological Bulletin 2024;40(10):1801-1808
NLRP3 can recruit proteins such as ASC and pro-caspase1 to form NLRP3 inflammasomes after being stimulated by pathogen and danger signals in vivo,and then induce pyropto-sis and promote the inflammatory reactions to maintain the home-ostasis.However,the overactivation of NLRP3 inflammasomes is closely related to many inflammatory and autoimmune diseases in humans.Targeted inhibition of NLRP3 inflammasomes can sig-nificantly inhibit inflammation and alleviate the relative symp-toms.Therefore,it is an important research direction for treating diseases of NLRP3 inflammasome that searching for effective in-hibitors targeting NLRP3 inflammasome activation and achieving clinical transformation.This review summarizes the latest re-search progress based on the sources of NLRP3 inflammasome inhibitors.
5.Epidemiological and Clinical Characteristics of Non-neonatal Tetanus Patients in Guangxi, China: An 11-year Retrospective Study (2011-2021).
Yi Wen KANG ; Guo Feng MAI ; Xiao Ling ZHU ; Shang Qin DENG ; Shi Xiong YANG ; Hong Li TENG ; Zong Xiang YUAN ; Chu Ye MO ; Jian Yan LIN ; Li YE ; Hua Min TANG
Biomedical and Environmental Sciences 2023;36(9):880-885
6.Blinatumomab as bridging therapy in two children with B-cell acute lymphoblastic leukemia complicated by invasive fungal disease.
Xiao-Fei LIU ; Xue TANG ; Lu-Lu WANG ; Ying WANG ; Shi-Lin LIU ; Gui-Chi ZHOU ; Tong-Hui LI ; Hui-Rong MAI
Chinese Journal of Contemporary Pediatrics 2023;25(12):1282-1286
This article reports two cases of children with B-cell acute lymphoblastic leukemia (B-ALL) complicated by invasive fungal disease (IFD) who received bridging treatment using blinatumomab. Case 1 was a 4-month-old female infant who experienced recurrent high fever and limb weakness during chemotherapy. Blood culture was negative, and next-generation sequencing (NGS) of peripheral blood, bronchoalveolar lavage fluid, and cerebrospinal fluid were all negative. Chest CT and cranial MRI revealed obvious infection foci. Case 2 was a 2-year-old male patient who experienced recurrent high fever with multiple inflammatory masses during chemotherapy. Candida tropicalis was detected in peripheral blood and abscess fluid using NGS, while blood culture and imaging examinations showed no obvious abnormalities. After antifungal and blinatumomab therapy, both cases showed significant improvement in symptoms, signs, and imaging, and B-ALL remained in continuous remission. The report indicates that bridging treatment with blinatumomab in children with B-ALL complicated by IFD can rebuild the immune system and control the underlying disease in the presence of immunosuppression and severe fungal infection.
Child, Preschool
;
Female
;
Humans
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Infant
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Male
;
Antibodies, Bispecific/therapeutic use*
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Invasive Fungal Infections/drug therapy*
;
Precursor B-Cell Lymphoblastic Leukemia-Lymphoma/drug therapy*
;
Remission Induction
7. Research progress of Gasdermin D
Chen-Guang LI ; Jing-Rong LIANG ; Li-Zu XIAO ; Zhi-Guo ZHANG ; Chen-Guang LI ; Jing-Rong LIANG ; Li-Zu XIAO ; Feng-Yi MAI
Chinese Pharmacological Bulletin 2023;39(5):817-822
Pyroptosis is a novel process of programmed inflammatory necrosis, which is closely related to microbial infections and autoimmune diseases. In recent years it has been proved that Gasdermin D is an executive protein of pyroptosis. Cleaved Gasdermin D leads to the formation of pores in cell membrane to induce pyroptosis, and the release of inflammatory factors such as IL-1β and IL-18 aggravates the occurrence of inflammatory responses. With the deepening of Gasdermin D research, it is gradually clear its protein structure and activation sites, which has other activation pathways apart from inducing inflammasome activation. Activation of Gasdermin D does not necessarily mean cell death, even if it could induce the formation of pores in cell membrane and regulation of inflammatory cytokine secretion. These findings offer insight into Gasdermin D function and change our understanding of pyroptosis and programmed necrosis. The recent progress of Gasdermin D is highlighted in this review.
8.Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup.
Xiao-Qing LIU ; Run-Shun ZHANG ; Xue-Zhong ZHOU ; Hong ZHOU ; Yu-Yao HE ; Shu HAN ; Jing ZHANG ; Zi-Xin SHU ; Xue-Bin ZHANG ; Jing-Hui JI ; Quan ZHONG ; Li-Li ZHANG ; Zi-Jun MOU ; Li-Yun HE ; Lun-Zhong ZHANG ; Jie YANG ; Yan-Jie HU ; Zheng-Guang CHEN ; Xiao-Zhen LI ; Yan TAN ; Zhan-Feng YAN ; Ke-Gang CAO ; Wei MENG ; He ZHAO ; Wei ZHANG ; Li-Qun ZHONG
Chinese journal of integrative medicine 2023;29(5):441-447
OBJECTIVE:
To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients.
METHODS:
By extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally, subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup.
RESULTS:
Seven main subgroups of patients with specific symptom characteristics were identified, including M3, M2, M1, M5, M0, M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms, while M3 was associated with autonomic disorders, and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3, M2, M1, M0, M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes, which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern, respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind, pathogenic phlegm, and deficiency pathogens.
CONCLUSIONS
There were 7 main symptom similarity-based subgroups in ischemic stroke patients, and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.
Humans
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Syndrome
;
Ischemic Stroke
;
Medicine, Chinese Traditional
;
Liver
;
Phenotype
9.Scoping review of progress in cohort studies of autism spectrum disorder.
Yun Xiao WU ; Zhi Xia LI ; Xiao Zhen LYU ; Mai WANG ; Tian Yu HUANG ; Jian Hong CHENG ; Ruo gu MENG
Chinese Journal of Epidemiology 2023;44(5):837-844
Objective: To understand the status of autism spectrum disorder (ASD) cohort studies and explore the feasibility of constructing ASD disease-specific cohorts based on real-world data (RWD). Methods: ASD cohort studies published by December 2022 were collected by literature retrieval from major Chinese and English databases. And the characteristics of the cohort were summarized. Results: A total of 1 702 ASD cohort studies were included, and only 60 (3.53%) were from China. A total of 163 ASD-related cohorts were screened, of which 55.83% were birth cohorts, 28.22% were ASD-specific cohorts, and 4.91% were ASD high-risk cohorts. Most cohorts used RWD such as hospital registries or conducted community-based field surveys to obtain participant information and identified patients with ASD by scales or clinical diagnoses. The contents of the studies included ASD incidence and prognostic risk factors, ASD comorbidity patterns and the impact of ASD on self-health and their offspring's health. Conclusions: ASD cohort studies in developed countries have been in the advanced stage, while the Chinese studies are still in their infancy. RWD provides the data basis for ASD-specific cohort construction and offers new opportunities for research, but work such as case validation is still needed to ensure the scientific nature of cohort construction.
Humans
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Autism Spectrum Disorder
;
Cohort Studies
;
Databases, Factual
10.Automated Classification of Inherited Retinal Diseases in Optical Coherence Tomography Images Using Few-shot Learning.
Qi ZHAO ; Si Wei MAI ; Qian LI ; Guan Chong HUANG ; Ming Chen GAO ; Wen Li YANG ; Ge WANG ; Ya MA ; Lei LI ; Xiao Yan PENG
Biomedical and Environmental Sciences 2023;36(5):431-440
OBJECTIVE:
To develop a few-shot learning (FSL) approach for classifying optical coherence tomography (OCT) images in patients with inherited retinal disorders (IRDs).
METHODS:
In this study, an FSL model based on a student-teacher learning framework was designed to classify images. 2,317 images from 189 participants were included. Of these, 1,126 images revealed IRDs, 533 were normal samples, and 658 were control samples.
RESULTS:
The FSL model achieved a total accuracy of 0.974-0.983, total sensitivity of 0.934-0.957, total specificity of 0.984-0.990, and total F1 score of 0.935-0.957, which were superior to the total accuracy of the baseline model of 0.943-0.954, total sensitivity of 0.866-0.886, total specificity of 0.962-0.971, and total F1 score of 0.859-0.885. The performance of most subclassifications also exhibited advantages. Moreover, the FSL model had a higher area under curves (AUC) of the receiver operating characteristic (ROC) curves in most subclassifications.
CONCLUSION
This study demonstrates the effective use of the FSL model for the classification of OCT images from patients with IRDs, normal, and control participants with a smaller volume of data. The general principle and similar network architectures can also be applied to other retinal diseases with a low prevalence.
Humans
;
Tomography, Optical Coherence
;
Deep Learning
;
Retinal Diseases/diagnostic imaging*
;
Retina/diagnostic imaging*
;
ROC Curve

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