1.Network analysis of maltreatment experiences and peer relationships with school bullying among middle school students
XIE Linlin, TANG Yaqing, TAN Ziyue, LI Xiujuan, LI Liping
Chinese Journal of School Health 2025;46(11):1635-1639
Objective:
To apply network analysis for exploring the relationship of maltreatment experiences and peer relationships with school bullying among middle school students, so as to provide empirical evidences for the development of targeted intervention programs.
Methods:
From March to April 2024, a total of 2 119 middle school students aged 12-18 in Shantou City were selected through stratified cluster random sampling. Self administered questionnaire was used to collect data on bullying experiences, maltreatment, and peer relationships. The Glasso network model was employed to estimate network structure.
Results:
The strongest edge in the network of maltreatment experiences, peer relationships and school bullying was the connecting line connecting peer acceptance and peer terrorized low self esteem (edge weight=0.59) among middle school students. The network faked fraudulent victimization was the most central node in the whole network (strength=7.98). The bridge symptoms of the network were sexual abuse, property bullying of others, relational bullying victimization, and verbal bullying of others, with the strongest bridge node being sexual abuse (bridge strength=1.07). In the accuracy estimation of centrality indices, closeness centrality demonstrated the highest accuracy, followed by strength and betweenness, with coefficient of stability of 0.60, 0.44 and 0.21, respectively. The stability of the network was good.
Conclusion
Peer acceptance has the strongest correlation with peer fear and inferiority, and is closely related to emotional abuse and emotional neglect.
2.Progress in autophagy effect on the progression of SLE pathogenesis by regulating the immune system.
Tianzhen MA ; Honghui TANG ; Xuan CHEN ; Yuqing GUO ; Liping ZHANG ; Baiqing LI ; Jin XI ; Yuanyuan WANG
Chinese Journal of Cellular and Molecular Immunology 2025;41(7):649-654
Autophagy is a fundamental biological metabolic process involved in immune defense, material metabolism, and homeostasis and closely linked to immune regulation. Systemic lupus erythematosus (SLE) is a widespread connective tissue disorder primarily resulting from immune system imbalance. Due to the immune system's failure to recognize its own substances, it generates autoantibodies that can affect various tissues and organs, leading to diverse clinical manifestations. The pathogenesis and treatment of SLE are currently under extensive investigation. In normal metabolic processes, autophagy engages in both innate and adaptive immunity, regulates the immune response, and is crucial for maintaining normal immune function and the body's internal homeostasis. Research has indicated that SLE patients exhibit immune dysfunction and altered autophagy levels. Modulating autophagy expression can influence immune system functionality and alleviate SLE symptoms. Additionally, autophagy aids in the innate immune response and adaptive immunity by clearing metabolites and regulating the life cycle of immune cells. Studies suggest that drugs targeting autophagy can positively influence the progression of SLE. This article reviews advancements in research regarding the impact of autophagy on the pathogenesis of SLE through the regulation of immune system functions.
Lupus Erythematosus, Systemic/pathology*
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Autophagy/immunology*
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Humans
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Animals
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Immunity, Innate
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Adaptive Immunity
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Disease Progression
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Immune System/immunology*
3.Erratum: Author correction to "Generation of αGal-enhanced bifunctional tumor vaccine" Acta Pharm Sin B 12 (2022) 3177-3186.
Jian HE ; Yu HUO ; Zhikun ZHANG ; Yiqun LUO ; Xiuli LIU ; Qiaoying CHEN ; Pan WU ; Wei SHI ; Tao WU ; Chao TANG ; Huixue WANG ; Lan LI ; Xiyu LIU ; Yong HUANG ; Yongxiang ZHAO ; Lu GAN ; Bing WANG ; Liping ZHONG
Acta Pharmaceutica Sinica B 2025;15(2):1207-1207
[This corrects the article DOI: 10.1016/j.apsb.2022.03.002.].
4.A Method for Detecting Depression in Adolescence Based on an Affective Brain-Computer Interface and Resting-State Electroencephalogram Signals.
Zijing GUAN ; Xiaofei ZHANG ; Weichen HUANG ; Kendi LI ; Di CHEN ; Weiming LI ; Jiaqi SUN ; Lei CHEN ; Yimiao MAO ; Huijun SUN ; Xiongzi TANG ; Liping CAO ; Yuanqing LI
Neuroscience Bulletin 2025;41(3):434-448
Depression is increasingly prevalent among adolescents and can profoundly impact their lives. However, the early detection of depression is often hindered by the time-consuming diagnostic process and the absence of objective biomarkers. In this study, we propose a novel approach for depression detection based on an affective brain-computer interface (aBCI) and the resting-state electroencephalogram (EEG). By fusing EEG features associated with both emotional and resting states, our method captures comprehensive depression-related information. The final depression detection model, derived through decision fusion with multiple independent models, further enhances detection efficacy. Our experiments involved 40 adolescents with depression and 40 matched controls. The proposed model achieved an accuracy of 86.54% on cross-validation and 88.20% on the independent test set, demonstrating the efficiency of multimodal fusion. In addition, further analysis revealed distinct brain activity patterns between the two groups across different modalities. These findings hold promise for new directions in depression detection and intervention.
Humans
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Male
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Female
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Adolescent
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Case-Control Studies
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Depression/diagnosis*
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Early Diagnosis
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Rest
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Electroencephalography/methods*
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Brain-Computer Interfaces
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Models, Psychological
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Reproducibility of Results
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Affect/physiology*
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Photic Stimulation/methods*
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Video Recording
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Brain/physiopathology*
5.Epidemiological characteristics and genotype trends of rotavirus diarrhea in China from 2009 to 2020
Bicheng TANG ; Junling SUN ; Feng GAO ; Liping WANG ; Yaming ZHENG ; Zhongjie LI
Chinese Journal of Epidemiology 2024;45(4):506-512
Objective:To investigate the epidemiological characteristics and genotype trends of rotavirus infection among the population with diarrhea in China, from 2009 to 2020 and provide evidence for strategic surveillance and prevention.Methods:Surveillance data on diarrhea syndrome from 252 sentinel hospitals across 28 provinces (municipalities, autonomous regions) were obtained from the information management system of the Infectious Disease Surveillance Technology Platform of the National Science and Technology Major Project. Descriptive epidemiological methods were employed to analyze the distribution of rotavirus diarrhea cases in different climatic zones, populations, and times from 2009 to 2020, as well as the genotyping characteristics and changing trends of group A rotavirus diarrhea cases.Results:From 2009 to 2020, a total of 114 606 diarrhea cases were tested for rotavirus, and the positive rate was 19.1% (21 872/114 606); group A rotavirus was dominant (98.2%, 21 471/21 872). The positive rate of rotavirus was the highest in 2009 (36.9%, 2 436/6 604) and 2010 (30.6%, 5 130/16 790), fluctuated between 14.0% to 18.0% from 2011 to 2017, raised slightly in 2018 (20.3%, 2 211/10 900), and declined continuously in the following two years (15.5%, 2 262/14 611 and 9.5%, 470/4 963). The positive rate of males (20.2%, 13 660/67 471) was significantly higher than that of females (17.4%, 8 212/47 135). Children under five had the highest positive rate (28.4%, 18 261/64 300), more than four times that of adults. The positive rate peaked from December to February in the mediate temperate zone, warm temperate zone, and subtropical zone, while there were two peaks from November to January and May to June in the frigid zone of the plateau. The dominant genotype of group A rotavirus gradually changed from G3P[8] and G1P[8] to G9P[8] during 2009-2020.Conclusions:The overall rotavirus infection rate in China was on a downward trend. Meanwhile, significant variations of positive rates were observed in seasonal epidemics and different age groups from 2009 to 2020. Rotavirus diarrhea in children was still a prominent concern. Vaccination of rotavirus vaccine should be promoted, and the epidemiological characteristics and genotypes of rotavirus diarrhea should be continuously monitored.
6.Accuracy of digital guided implant surgery:expert consensus on nonsurgical factors and their treatments
Shulan XU ; Ping LI ; Shuo YANG ; Shaobing LI ; Haibin LU ; Andi ZHU ; Lishu HUANG ; Jinming WANG ; Shitong XU ; Liping WANG ; Chunbo TANG ; Yanmin ZHOU ; Lei ZHOU
Journal of Prevention and Treatment for Stomatological Diseases 2024;32(5):321-329
The standardized workflow of computer-aided static guided implant surgery includes preoperative exami-nation,data acquisition,guide design,guide fabrication and surgery.Errors may occur at each step,leading to irrevers-ible cumulative effects and thus impacting the accuracy of implant placement.However,clinicians tend to focus on fac-tors causing errors in surgical operations,ignoring the possibility of irreversible errors in nonstandard guided surgery.Based on the clinical practice of domestic experts and research progress at home and abroad,this paper summarizes the sources of errors in guided implant surgery from the perspectives of preoperative inspection,data collection,guide de-signing and manufacturing and describes strategies to resolve errors so as to gain expert consensus.Consensus recom-mendation:1.Preoperative considerations:the appropriate implant guide type should be selected according to the pa-tient's oral condition before surgery,and a retaining screw-assisted support guide should be selected if necessary.2.Da-ta acquisition should be standardized as much as possible,including beam CT and extraoral scanning.CBCT performed with the patient's head fixed and with a small field of view is recommended.For patients with metal prostheses inside the mouth,a registration marker guide should be used,and the ambient temperature and light of the external oral scan-ner should be reasonably controlled.3.Optimization of computer-aided design:it is recommended to select a handle-guided planting system and a closed metal sleeve and to register images by overlapping markers.Properly designing the retaining screws,extending the support structure of the guide plate and increasing the length of the guide section are methods to feasibly reduce the incidence of surgical errors.4.Improving computer-aided production:it is also crucial to set the best printing parameters according to different printing technologies and to choose the most appropriate postpro-cessing procedures.
7.Efficacy observation of clinical medication guided by genetic testing of antipsychotic drugs in patients with schizophrenia
Haiyan WANG ; Jianfeng CAO ; Liping FU ; Liangcheng XIANG ; Tao TIAN ; Jixiang WANG ; Ming SHI ; Xiaojun LI ; Chunguang TANG
Sichuan Mental Health 2024;37(5):420-426
Background Results of genetic testing for antipsychotic drugs can guide the rational use of drugs in clinical practice and help improve the clinical symptoms of patients with schizophrenia.However,there is currently limited evidence in China regarding the impact of genetic testing results on medication adherence,social function and drug side effects of antipsychotic drug treatment.Objective To explore the improvement of clinical symptoms,medication adherence and social function in patients with schizophrenia under the guidance of antipsychotic drug gene testing results and examine the safety of drug treatment,so as to provide references for ifor precise treatment of schizophrenia patients.Methods Patients with acute schizophrenia who received hospitalization at Dazhou Minkang Hospital from July 2019 to August 2021 as well as met the diagnostic criteria of the International Classification of Diseases,tenth edition(ICD-10)were selected as research subjects(n=144).Based on random number table,subjects were divided into study group and control group,with 72 cases in each group.Control group received drug treatment based on the doctor's clinical experience,while study group received drug treatment based on the results of gene testing for antipsychotic drug.Both treatments lasted for 12 weeks.At baseline as well as 2,4,8 and 12 weeks after treatment,Positive and Negative Syndrome Scale(PANSS),8-item Morisky Medication Adherence Scale(MMAS-8),Social Functional Rating Scale(SFRS)and Treatment Emergent Symptom Scale(TESS)were adopted for assessment.Result Time effect and group effect of the reducing rate of PANSS,MMAS-8 and SFRS scores in the groups were statistically significant(Ftime=95.251,6.650,14.101,Fgroup=38.055,58.175,128.221,P<0.01).The interaction effect of the reduction rates of MMAS-8 scores in two groups was statistically significant(Finteraction=5.837,P<0.01).The group effect and interaction effect of the severity scores of drug side effects and patient pain scores in two groups were statistically significant(Fgroup=7.553,81.533,Finteraction=8.693,9.322,P<0.01).Conclusion In terms of improving clinical symptom relief,medication adherence,social function and drug side effects,medication for patients with schizophrenia guided by genetic testing of antipsychotic drugs may be more effective than that relying on medication based on clinical experience.
8.CAR-T Therapy for T-lineage Leukemia:Progress,Dilemmas,and Way Forward
Yajing HAN ; Liping ZHAO ; Kaiting TANG ; Qing NIU ; Jing PAN ; Xiaoming FENG
Cancer Research on Prevention and Treatment 2024;51(8):648-654
Tumor immunotherapy occupies a pivotal position in the field of hematological malignancies.Chimeric antigen receptor(CAR)T-cell therapy has established a new therapeutic pattern for hematological immunotherapy and achieved satisfactory clinical results in the treatment of B-lineage hematological malignancies.However,CAR T-cell therapy has some limitations in the treatment of T-cell acute lymphoblastic leukemia because of the presence of CAR T-cell fratricide,tumor cell contamination,T-cell aplasia,and other clinically relevant problems.Therefore,the current major challenge is overcoming the existing bottlenecks to optimize CAR-T therapy and improve its efficacy against T-ALL while improving the prognosis of patients.
9.Microbiomes combined with metabolomics reveals the changes of microbial and metabolic profile of articular cavity effusion in rheumatoid arthritis, urarthritis and osteoarthritis patients
Hanzhi Yi ; Wukai Ma ; Minhui Wang ; Chunxia Huang ; Guangzhao Gu ; Dan Zhu ; Hufan Li ; Can Liu ; Fang Tang ; Xueming Yao ; Liping Sun ; Nan Wang ; Changming Chen
Acta Universitatis Medicinalis Anhui 2024;59(12):2237-2245
Objective:
To investigate the changes of microorganisms and metabolites in joint effusion of patients with Rheumatoid arthritis(RA), Osteoarthritis(OA) and Urarthritis(UA). To provide new ideas for the study of the effect of microbiota on the pathogenesis of arthritis.
Methods:
Joint effusion samples were collected from 20 patients with RA, 20 patients with OA, and 20 patients with UA. 16S rRNA gene sequencing and untargeted ultra-high performance Liquid chromatography-mass spectrometry(LC-MS) were used to explore the differences in microorganisms and metabolites among the three groups. Pearson correlation analysis was used to detect the correlation between effusion microbiota and metabolites.
Results:
There were differences in microbial diversity and microbiota composition among the three groups. Combined with VIP>1 from OPLS-DA andP<0.05 from two-tailed Students t-test, 45 differential metabolites(Between RA and OA groups), 38 differential metabolites(Between UA and OA groups) and 16 differential metabolites(Between RA and UA groups), were identified. GO analysis and KEGG pathway analysis showed that the differential metabolic pathways among the three groups were mainly concentrated in citric acid cycle(TCA cycle), nucleotide metabolism, amino acid metabolism and glycolysis pathway. Correlation analysis of joint effusion microbiota and metabolites suggested that bacteria enriched in the three groups of joint effusion, such asPrevotella,Clostridium ruminosus,Prevotellaceae_UCG-001, were related to many key metabolites such as lysozyme, uric acid, glucose, and L-glutamine.
Conclusion
This study shows that there are a variety of bacterial flora in joint cavity effusion of RA, OA, and UA patients, and the differential metabolites produced by them are involved in the pathogenesis of the three types of arthritis by affecting a variety of metabolic pathways.
10.The factors affecting the prognosis of complex intracranial aneurysms treated with pipeline flow-direction device and the construction of a nomogram prediction model
Ziyin ZHANG ; Dong QIU ; Ping ZHENG ; Yang AN ; Tao ZHANG ; Xuesong TANG ; Zhixing YAN ; Suwen LI ; Liping YIN ; Yongji JIANG ; Ligang HU ; Jingfeng TANG
Journal of Interventional Radiology 2024;33(9):944-949
Objective To investigate the factors influencing the prognosis of complex intracranial aneurysms treated with pipeline flow-directed device(PED)and to develop a nomogram prediction model.Methods The clinical data of a total of 98 patients with complex intracranial aneurysm,who were admitted to the Anyue County People's Hospital or the Second Affiliated Hospital of Guilin Medical College of China from January 2021 to April 2023 to receive PED treatment,were retrospectively analyzed.The influencing factors that might affect the prognosis of patients with complex intracranial aneurysm were collected.According to the modified Rankin Scale(mRS)score,the patients were divided into good prognosis group(being defined as mRS ≤2 points)and poor prognosis group(being defined as mRS>2 points).The clinical data were compared between the two groups,and a nomogram model was established and validated.Results In the 98 patients,poor prognosis was seen in 10(10.20%).The differences in age,history of hypertension,history of diabetes mellitus,clopidogrel resistance,Fisher classification,repeated aneurysm rupture,aneurysm location,aneurysm size,aneurysm neck,multiple lesions,and Hunt-Hess grade on admission between good prognosis group and poor prognosis group were statistically significant(all P<0.05).Multivariate analysis revealed that history of hypertension,clopidogrel resistance,repeated aneurysm rupture,aneurysm location,multiple lesions,and Hunt-Hess grade were the independent factors influencing the prognosis of patients with complex intracranial aneurysm after receiving PED treatment.The AUC of the nomogram model in predicting the prognosis of PED for complex intracranial aneurysms was 0.849(95%CI=0.758-0.939).The predicted curves of the model group and validation group were basically fitted to the standard curves.The results of the decision curve analysis showed that the net benefit to patients was greater than 0 when the probability threshold of the nomogram model for predicting a poor prognosis of PED for complex intracranial aneurysms was 0.10-0.90.Conclusion The factors causing poor prognosis of PED for complex intracranial aneurysms mainly include history of hypertension,clopidogrel resistance,repeated aneurysm rupture,etc.The nomogram model established in this study can predict the risk of poor prognosis in patients with complicated intracranial aneurysm after receiving PED treatment.


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