1.Influencing factors and network analysis of aggressive behavior among Chinese college students based on propensity score matching
ZENG Rui, ZHAO Mengxiao, HU Mengmeng, LIU Xin, CHANG Hongjuan
Chinese Journal of School Health 2025;46(3):358-363
Objective:
To explore the influencing factors and network structure of aggressive behaviors among college students based on propensity score matching (PSM), so as to provide precise targeted interventions for the prevention and improvement of aggressive behaviors among college students.
Methods:
A total of 2 652 college students were selected by convenient sampling method from three colleges in Wuhan, Hubei Province in June 2023. Questionnaire surveys were carried out by using the Buss-Warren Aggression Questionnaire (BWAQ), Ruminative Responses Scale (RRS), Cognitive Emotion Regulation Questionnaire-Chinese Version (CERQ-C), Family APGAR Index (APGAR) ,Brief Fear of Negative Evaluation Scale (BFNES).By bias score matching (PSM) for 1∶1 matching, univariate and multivariate Logistic regression analysis, and network analysis were conducted on the college students.
Results:
College students with higher levels of ruminant thinking,non adaptive emotional regulation and fear of negative appraisal were more likely to have highly aggressive behaviors( OR =1.14,1.18,1.06),and those with higher adaptive emotional regulation and family care index were more likely to have highly aggressive behaviors ( OR =0.88,0.82)( P < 0.01 ). Network structure was significantly different between the two groups ( M =0.27, P <0.05). The core affective factors of college students with high levels of aggressive behavior were brooding reflective pondering and symptom rumination( EI =3.50, 3.49, 3.48 ),low aggressive behavior college students core affective factors were adaptive emotion regulation growth and non adaptive emotion regulation( EI =4.37, 4.12, 4.08).
Conclusion
Factors affecting Chinese college students aggressive behaviors are of different characteristics on different behaviour types, and targeted interventions should be adopted to reduce aggressive behaviors of college students.
2.Anteromedial cortical support reduction in treatment of trochanteric femur fractures: a ten-year reappraisal.
Sunjun HU ; Shouchao DU ; Shimin CHANG ; Wei MAO ; Zhenhai WANG ; Kewei TIAN ; Tao LIU ; Yunfeng RUI
Chinese Journal of Reparative and Reconstructive Surgery 2025;39(12):1501-1509
OBJECTIVE:
This review summarized the first 10-year progresses and controversies in the concept of anteromedial cortical support reduction, to provide references for further study and clinical applications.
METHODS:
Relevant domestic and foreign literature on cortical support reduction was extensively reviewed to summarize the definition of positive, neutral, and negative support, anteromedial cortices at the inferior corner, intraoperative technical tips for fracture reduction, radiographic assessment at different periods, comparison between positive versus neutral and medial versus anterior support, and the clinical efficacy of Chang reduction quality criteria (CRQC) and postoperative stability score.
RESULTS:
Anteromedial cortical support reduction was only focused on the cortex of anteromedial inferior corner, with no concern the status of lateral wall or lesser trochanter. Anteromedial cortex was seldom involved by fracture comminution, it was thicker, denser, and stronger, and was the key for mechanical buttress of the head-neck fragment to share compression load. Positive, neutral, and negative support were also called "extramedullary, anatomic, and intramedullary reduction", respectively. There was hardly seen parallel cortical apposition, but characterized by some kinds of head-neck rotation, for example 10°-15° flexed rotation for positive cortical contact and support. Due to intraoperative compression and postoperative impaction, the status of cortical support may be changed at different time of radiographic examination. The positive medial cortex support was more reliable with less reduction loss than its neutral counterpart, and the anterior cortex contact was more predictive than the medial cortex for final results. As incorporation the bearing of cortex apposition and using a 4-point score, CRQC demonstrated more efficacy and was gradually accepted and applied in the evaluation of trochanteric fracture reduction quality. Postoperative stability score (8 points) provided a assessment tool for early weight-bearing in safety to prevent mechanical failure.
CONCLUSION
Anteromedial cortical support reduction is a key point for stability reconstruction in the treatment of trochanteric femur fractures. Evidence has definitely shown that non-negative (positive and neutral) is superior to negative (loss of cortical support). There is a tendency that positive cortex support is superior to neutral, but high quality study with large sample size is needed for a clear conclusion.
Humans
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Femur/diagnostic imaging*
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Fracture Fixation, Internal/methods*
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Hip Fractures/diagnostic imaging*
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Treatment Outcome
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Fracture Fixation, Intramedullary/methods*
3.Early prediction and warning of MODS following major trauma via identification of cytokine storm: A prospective cohort study.
Panpan CHANG ; Rui LI ; Jiahe WEN ; Guanjun LIU ; Feifei JIN ; Yongpei YU ; Yongzheng LI ; Guang ZHANG ; Tianbing WANG
Chinese Journal of Traumatology 2025;28(6):391-398
PURPOSE:
Early mortality in major trauma has decreased, but MODS remains a leading cause of poor outcomes, driven by trauma-induced cytokine storms that exacerbate injuries and organ damage.
METHODS:
This prospective cohort study included 79 major trauma patients (ISS >15) treated in the National Center for Trauma Medicine, Peking University People's Hospital, from September 1, 2021, to July 31, 2023. Patients (1) with ISS >15 (according to AIS 2015), (2) aged 15-80 years, (3) admitted within 6 h of injury, (4) having no prior treatment before admission, were included. Exclusion criteria were (1) GCS score <9 or AIS score ≥3 for TBI, (2) confirmed infection, infectious disease, or high infection risk, (3) pregnancy, (4) severe primary diseases affecting survival, (5) recent use of immunosuppressive or cytotoxic drugs within the past 6 months, (6) psychiatric patients, (7) participation in other clinical trials within the past 30 days, (8) patients with incomplete data or missing blood samples. Admission serum inflammatory cytokines and pathophysiological data were analyzed to develop machine learning models predicting MODS within 7 days. LR, DR, RF, SVM, NB, and XGBoost were evaluated based on the area under the AUROC. The SHAP method was used to interpret results.
RESULTS:
This study enrolled 79 patients with major trauma, and the median (Q1, Q3) age was 51 (35, 59) years (52 males, 65.8%). The inflammatory cytokine data were collected for all participants. Among these patients, 35 (44.3%) developed MODS, and 44 (55.7%) did not. Additionally, 2 patients (2.5%) from the MODS group succumbed. The logistic regression model showed strong performance in predicting MODS. Ten key cytokines, IL-18, Eotaxin, MCP-4, IP-10, CXCL12, MIP-3α, MCP-1, IL-1RA, Cystatin C, and MRP8/14 were identified as critical to the trauma-induced cytokine storm and MODS development. Early elevation of these cytokines achieved high predictive accuracy, with an AUROC of 0.887 (95% CI 0.813-0.976).
CONCLUSION
Trauma-induced cytokine storms are strongly associated with MODS. Early identification of inflammatory cytokine changes enables better prediction and timely interventions to improve outcomes.
Humans
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Prospective Studies
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Middle Aged
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Male
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Female
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Adult
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Aged
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Cytokine Release Syndrome/etiology*
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Adolescent
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Young Adult
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Aged, 80 and over
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Wounds and Injuries/complications*
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Cytokines/blood*
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Multiple Organ Failure/diagnosis*
;
Machine Learning
4.Prognostic value of quantitative flow ratio measured immediately after percutaneous coronary intervention for chronic total occlusion.
Zheng QIAO ; Zhang-Yu LIN ; Qian-Qian LIU ; Rui ZHANG ; Chang-Dong GUAN ; Sheng YUAN ; Tong-Qiang ZOU ; Xiao-Hui BIAN ; Li-Hua XIE ; Cheng-Gang ZHU ; Hao-Yu WANG ; Guo-Feng GAO ; Ke-Fei DOU
Journal of Geriatric Cardiology 2025;22(4):433-442
BACKGROUND:
The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined.
METHODS:
All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI.
RESULTS:
Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70).
CONCLUSIONS
Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.
5.Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support.
Dengying YAN ; Qiguang ZHENG ; Kai CHANG ; Rui HUA ; Yiming LIU ; Jingyan XUE ; Zixin SHU ; Yunhui HU ; Pengcheng YANG ; Yu WEI ; Jidong LANG ; Haibin YU ; Xiaodong LI ; Runshun ZHANG ; Wenjia WANG ; Baoyan LIU ; Xuezhong ZHOU
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1310-1328
Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods*
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Artificial Intelligence
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Humans
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Precision Medicine
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Decision Support Systems, Clinical
6.Small-molecule probes based on natural products: Elucidation of drug-target mechanisms in stroke.
Xingyue JIN ; Suyi LIU ; Shujing CHEN ; Rui HAN ; Xingyi SUN ; Mingyan WEI ; Yanxu CHANG ; Lin LI ; Han ZHANG
Journal of Pharmaceutical Analysis 2025;15(11):101290-101290
Natural products (NPs) are an important source of new drugs for the treatment of stroke. Identifying cellular targets for bioactive molecules is a major challenge and critical issue in the development of new drugs for stroke. Small-molecule probes play a unique role in target discovery. However, drawbacks to these probes include non-specificity, unstable activity, and difficulty in synthesis. Small-molecule probes based on NPs at least partially compensate for these shortcomings. NPs feature rich chemical and structural diversity, biocompatibility, and unique biological activities. These features could be exploited to provide new ideas and tools for target discovery. Small-molecule probes based on NPs provide a precise and direct search for interacting protein targets of NPs-active small molecules. This review explores the properties of small-molecule probes based on NPs and their applications in mechanistic studies of stroke and other diseases. We hope that this review will bring new perspectives to the mechanistic study of NPs-active small molecules and accelerate the translation of these ingredients into drug candidates for the treatment of stroke.
7.Molecular mechanisms and therapeutic strategies of endoplasmic reticulum stress-mediated hepatic ischemia-reperfusion injury
Chang LIU ; Rui TAO ; Qihui HU ; Jing LUO ; Cong CHEN
Journal of Chongqing Medical University 2025;50(7):951-956
Hepatic ischemia-reperfusion injury(IRI)is a pathological phenomenon that commonly occurs during liver surgery and transplantation.It leads to serious tissue damage and affects liver function.The mechanisms behind IRI are complex,involving oxida-tive stress,inflammatory responses,and calcium homeostasis disorder.Recently,scientists have paid more attention to the role of endo-plasmic reticulum stress(ERS)in IRI.ERS activates three classical signaling pathways,PERK,IRE1,and ATF6,through the unfolded protein response(UPR),aiming to preliminarily restore endoplasmic reticulum homeostasis and protect cells.However,if the stress re-sponse is excessive or persistent,ERS can activate apoptosis signaling pathways,such as CHOP and Bax/Bak,worsening cell injury.Additionally,ERS is closely related to other cellular stress responses,such as autophagy and oxidative stress,which jointly affect the survival and death of hepatocytes.Regulation of ERS,especially interventions targeting the three UPR pathways,is considered as a po-tential therapeutic pathway for alleviating hepatic IRI.Pharmacological interventions,such as 4-phenylbutyric acid and taurocholic acid,and gene therapies,such as knocking out PERK or IRE1,have shown positive effects in protecting liver function while inhibiting ERS.This paper reviews the mechanism of action of ERS in hepatic IRI,focuses on the specific roles of the three UPR pathways and their potential as therapeutic targets,and explores the future of re-lated therapeutic strategies.
8.Value of serum miR-590-3p and XCL1 levels in the diagnosis of patients with acute leukemia complicated by infection
Chang LIU ; Yuyang LIU ; Rui CHENG
International Journal of Laboratory Medicine 2025;46(18):2250-2254
Objective To study the changes in serum levels of microRNA(miR)-590-3p and lymphocyte chemotactic factor(XCL1)in patients with acute leukemia complicated by infection,and to analyze the diag-nostic value of serum miR-590-3p and XCL1 levels for acute leukemia complicated by infection.Methods A total of 96 patients with acute leukemia admitted to the hospital from January 2022 to April 2024 were select-ed as the leukemia group.They were separated into an infected group(n=54)and a non infected group(n=42)based on whether infection occurred.Another 90 healthy volunteers who underwent physical examinations during the same period were included as the control group.Enzyme-linked immunosorbent assay was applied to detect serum levels of XCL1.Quantitative real-time PCR was applied to detect serum levels of miR-590-3p.General clinical data was collected and analyzed.Multivariate Logistic regression was applied to analyze the in-fluencing factors for infection in patients with acute leukemia.Receiver operating characteristic(ROC)curve was plotted to analyze the diagnostic value of miR-590-3p and XCL1 for acute leukemia complicated by infec-tion.Pearson method was applied to analyze the correlation between miR-590-3p,XCL1 with C-reactive pro-tein(CRP)and procalcitonin(PCT).Results Compared with the control group,the serum level of XCL1 in the leukemia group was greatly increased(P<0.05),relative expression level of miR-590-3p was significantly reduced(P<0.05).Compared with the non infected group,the serum levels of XCL1,CRP,and PCT in the infected group were significantly increased(P<0.05),relative expression level of miR-590-3p was significant-ly reduced(P<0.05).Serum CRP,PCT,and XCL1 were all risk factors for infection in patients with acute leukemia(P<0.05),and miR-590-3p was a protect factor for infection in patients with acute leukemia(P<0.05).The area under the curve(AUC)of serum miR-590-3p,XCL1,CRP,PCT and miR-590-3p+XCL1 in diagnosing the infection in acute leukemia patients were 0.825,0.851,0.795,0.778 and 0.927,respectively.The AUC of miR-590-3p+XCL1 diagnosis was better than that of XCL1(Z=2.791,P=0.005),CRP(Z=2.491,P=0.013),PCT(Z=2.729,P=0.006),miR-590-3p(Z=2.274,P=0.023)diagnosed alone.XCL1 was positively correlated with CRP and PCT(P<0.001),and miR-590-3p was negatively positively correlated with XCL1,CRP and PCT(P<0.001).Conclusion In patients with acute leukemia complicated by infection,serum level of XCL1 increases,relative expression level of miR-590-3p decreases and the combination of the two has certain diagnostic value for patients with acute leukemia complicated by infection.
9.Correlation between gallbladder stones and small intestinal bacterial overgrowth
Rui XIAN ; Qian LIU ; Xiao-Na LIU ; Chang-Hao DONG ; Guang-Xiang WANG ; Chao LI ; Li-Hong CUI
Medical Journal of Chinese People's Liberation Army 2025;50(1):28-34
Objective To explore the correlation between gallbladder stones and small intestinal bacterial overgrowth(SIBO).Methods A retrospective analysis was conducted on the clinical data of 393 patients who attended the Department of Gastroenterology of the Sixth Medical Center of Chinese PLA General Hospital from January 2021 to September 2023.They were divided into gallbladder stones group(n=190)and control group(n=203)based on the presence of gallbladder stones.Their general clinical data,laboratory test results,and abdominal symptoms were compared.Multivariate logistic regression was used to analyze the risk factors for gallbladder stones.Additionally,the total population was divided into SIBO-positive group(n=239)and SIBO-negative group(n=154),and their clinical characteristics were analyzed by logistic regression to explore the risk factors for SIBO.Results Univariate analysis revealed that gallbladder stones group had a higher rate of age,body mass index(BMI),fasting plasma glucose(FPG),glutaminase levels,prevalence of hypertension,diabetes,coronary heart disease,non-alcoholic fatty liver disease,gallbladder polyps,and SIBO,as well as a higher prevalence of CH4-positive and H2-positive in SIBO group than control group(P<0.05).In terms of abdominal symptoms,the incidence of bad breath(48.4%vs.35.5%),dyspepsia(38.4%vs.28.6%),abdominal pain(30.5%vs.14.8%),bloating(42.1%vs.28.6%),diarrhea(20.5%vs.7.4%),and more exhaustion(46.8%vs.34.5%)were significantly higher in gallbladder stones group than those in control group(P<0.05).Multivariate logistic regression analysis showed that independent positive determinants for incident gallbladder stones were age,BMI,FPG,total bilirubin(TBIL),coronary heart disease,gallbladder polyps,and SIBO.Univariate analysis revealed that age,prevalence of gallbladder stones,proportion of single stones,triglycerides(TG),total cholesterol(TC),and low-density lipoprotein cholesterol(LDL-C)were significantly higher in SIBO-positive group than those in SIBO-negative group(P<0.05).Multivariate logistic regression analysis showed that the risk factors for SIBO were age,coronary heart disease,and gallbladder stones,while the protective factor for SIBO was high-density lipoprotein cholesterol(HDL-C).Conclusion There is a significant correlation between gallbladder stones and small SIBO;interventions on related factors of gallbladder stones and small SIBO may help reduce their incidence.
10.CURRENT DISTRIBUTION OF AEDES AEGYPTI IN LEIZHOU PENINSULA,ZHANJIANG CITY,GUANGDONG PROVINCE
Rui-Peng LU ; Jin-Hua DUAN ; Yu-Wen ZHONG ; Hui DENG ; Jun WU ; Li-Ping LIU ; Wei-Xiong YIN ; Feng XING ; Hui HUANG ; Chang-Jie FU ; Zong-Jing CHEN ; Ming-Ji CHENG ; Sheng-Jun HU ; Ya-Ting CHEN ; Wen-Ting GUO ; Li-Feng LIN
Acta Parasitologica et Medica Entomologica Sinica 2025;32(1):16-21
Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.


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