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.

Vaccines are among the most effec-tive measures for preventing infectious diseases and play a crucial role in controlling the spread of these diseases.Adjuvants,serving as auxiliary com-ponents in vaccines,are indispensable in the vac-cine development process.Ideal adjuvants not only enhance the immune response,enabling the body to achieve optimal protective immunity but also play important roles in reducing the dosage of im-munogens and lowering vaccine production costs.To meet the demands of novel vaccines,many new types of adjuvants have been developed.However,there is still a lack of adjuvants that are safe,effec-tive,easy to prepare,highly pure,and suitable for a variety of vaccines in clinical settings.This article categorizes adjuvants and summarizes their mecha-nisms of action and characteristics,focusing on tra-ditional aluminum salt adjuvants and more modern lipid-based and nucleic acid-based adjuvants.The summary is based on a computer search of data-bases including PubMed,Embase,The Cochrane Li-brary,CNKI(China National Knowledge Infrastruc-ture),VIP Database,and Wanfang Database,using English search keywords such as Adjuvants,Vac-cine,Vaccine Adjuvant,aluminum salts,MF59,AS03,Toll-like receptor agonist,etc.,and corre-sponding Chinese search terms.The aim is to pro-vide references for the development and applica-tion of adjuvants.

Objective To explore potential genes associated with the pathogenesis of hypospadias using weighted Gene co-expression network analysis(WGCNA).Methods The WGCNA algorithm was used to process the hypospadias-related dataset GSE35034,and then a gene co-expression weight network was constructed to screen the modules with the highest correlation with hypospadias,and the genes in the modules were enriched and detected by gene ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG).Differential analysis was also performed to screen out differential genes.The differential genes were imported into the String database.Using Cytoscape software,the hub genes in the network were identified.The results screened by the above three methods were combined and analyzed,and the core genes in the intersection set were screened.Using the external dataset GSE121712,the core genes were verified by mRNA expression changes and subject work characterization receiver operating characteristic(ROC)curve diagnosis.Results Fifteen co-expression modules were obtained based on the WGCNA method.Ninety-three common differential genes meeting the conditions were obtained by differential analysis.Ten core genes were finally obtained by Cytoscape software analysis.Finally MEbrown module,differential genes and the 10 core genes yielded a total of 2 intersecting genes:FBXL16 and SYNDIG1.ROC curves verified that the intersecting genes were differentially expressed in patients with hypospadias versus normal subjects.Conclusion In this study,two key genes with significant correlation with hypospadias were obtained by WGCNA,which may be used for the early diagnosis and treatment of hypospadias after further study.

Objective:To investigate associations between cardiac biomarkers with stroke severity and short-term outcome in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to the Affiliated Hospital of Qingdao University from June 2018 to February 2024 whose etiological classification was large artery atherosclerosis (LAA), small vessel occlusion (SVO) or cardioembolism (CE) were included retrospectively. According to the National Institutes of Health Stroke Scale score at admission, patients were divided into mild stroke group (≤8) and moderate to severe stroke group (>8). According to the modified Rankin Scale score at discharge, patients were divided into good outcome group (≤2) and poor outcome group (>2). Multivariate logistic regression analysis was used to determine the independent correlation between cardiac biomarkers and short-term outcome. The predictive value of cardiac biomarkers for poor outcome in patients with AIS and different stroke etiology subtypes were evaluated using receiver operating characteristic (ROC) curves. Results:A total of 2 151 patients with AIS were enrolled, including 1 256 males (58.4%), aged 67.40±11.34 years. 1 079 patents were LAA type (50.2%), 679 were SVO type (31.6%), and 393 were CE type (18.3%); 1 223 were mild stroke (56.86%) and 928 (43.14%) were moderate to severe stroke; 1 357 patients (63.09%) had good short-term outcome, and 794 (36.91%) had poor short-term outcome. Multivariate logistic regression analysis showed that N-terminal pro-B type natriuretic peptide (NT-proBNP), NT-proBNP/creatine kinase (CK) isoenzyme MB (CK-MB) ratio, and CK-MB/CK ratio were independent risk factors for poor short-term outcome. ROC curve analysis shows that the CK-MB/CK ratio had a higher predictive value for short-term poor outcome in patients with AIS (the area under the curve, 0.859, 95% confidence interval 0.839-0.879). Various cardiac biomarkers had a higher predictive value for short-term outcome of CE type and LAA type, but the predictive value for short-term outcome of SVO type was lower. Conclusions:Cardiac biomarkers are associated with the severity and poor outcome of AIS. NT-proBNP/CK-MB and CK-MB/CK ratios have higher predictive value for short-term poor outcome of AIS, especially in patients with CE type.

Objective To screen items of the Clinical Aided Decision Scheme for Stroke Simultaneous Treatment of Disease,Pulse and Syndrome;To provide reference for the formulation and improvement of the scheme.Methods The Delphi method was used to distribute two rounds of questionnaires to 60 experts in cerebropathy or neurology across the country.Statistical analysis was performed on the questionnaire results of the scheme's items,including the disease names,etiology and pathogenesis,syndrome characteristics,rules and regulations,representative prescriptions,acupuncture and other therapies,and preventive care.Results Totally 42 and 50 valid questionnaires were collected.The experts reached the consensus for the importance of etiology and pathogenesis,rules and regulations,acupuncture and other therapies,and preventive care.In the section on syndrome characteristics,items with low relevance or causing ambiguity were removed.Items that were no longer used in modern times and different prescriptions with the same name were removed from the representative prescriptions.The names of syndromes,rules and regulations were unified.Conclusion The experts generally reached the consensus for the importance of the Clinical Aided Decision Scheme for Stroke Simultaneous Treatment of Disease,Pulse and Syndrome.However,there are still some limitations that require further study and discussion.

AIM:To observe the effect of acupuncture on adenosine A1 receptor(A1R)in the caudate puta-men(CPu)of complete Freund's adjuvant(CFA)rats,and to explore the potential mechanism of acupuncture in treat-ment of inflammatory pain.METHODS:Sixty-four 6～8-week-old male Wistar rats were randomly divided into saline group,model group(CFA group),CFA+manual acupuncture(MA)group,CFA+solvent dimethyl sulfoxide(DMSO)group,CFA+A1R agonist 2-chloro-N6-cyclopentyladenosine(CCPA)group,CFA+A1R antagonist 8-cyclopentyl-1,3-di-propylxanthine(DPCPX)group,CFA+MA+DMSO group and CFA+MA+DPCPX group.In MA groups,on the 2nd day af-ter modeling,the rats were needled at Zusanli points on both sides,30 min at a time,once per day,for 7 d.Pain threshold of plantar thermal radiation was used to observe the pain response of the rats.The content of cyclic adenosine monophos-phate(cAMP)in the CPu was detected by ELISA.The protein expression and phosphorylation levels of protein kinase A(PKA)and cAMP response element-binding protein(CREB)were detected by Western blot.The expression of A1R in the CPu was detected by immunofluorescence staining.RESULTS:Compared with saline group,CFA modeling signifi-cantly lowered the thermal pain threshold of the rats(P<0.01).Compared with CFA group,the thermal pain threshold of the rats in CFA+MA group and CFA+CCPA group was significantly increased(P<0.05 or P<0.01).Compared with CFA+ MA+DMSO group,the thermal pain threshold of the rats in CFA+MA+DPCPX group was decreased(P<0.05).Compared with CFA group,A1R protein relative expression level and positive cells in the CPu of the rats in CFA+MA group were in-creased(P<0.05 or P<0.01).Compared with saline group,cAMP content and p-CREB protein level in the CPu of the rats in CFA+MA group were decreased(P<0.05).Compared with CFA+DMSO group,cAMP content and p-CREB pro-tein level in CFA+MA+DMSO and CFA+CCPA groups were significantly decreased(P<0.01).Compared with CFA+MA+ DMSO group,the levels of cAMP,p-PKA and p-CREB in CFA+MA+DPCPX group were significantly increased(P<0.05 or P<0.01).CONCLUSION:Acupuncture on bilateral Zusanli can relieve inflammatory pain in CFA rats,and its mech-anism may be related to A1R/cAMP/p-CREB signaling pathway.

Objective:To evaluate the clinical radiological features combined with circulating tumor cells in the diagnosis of benign and malignant pulmonary solid nodules.Methods:Clinical data of 437 patients from Shanghai Pulmonary Hospital(SPH cohort) from January to April 2021 and 82 patients from Lanzhou University First Hospital (LZH cohort) from August 2019 to May 2022 were retrospectively included. Patients in Shanghai pulmonary hospital were randomly divided into training set and internal validation set in a ratio of 4∶1 by random number table method and patients in Lanzhou University First Hospital were as external validation set. Independent risk factors were selected by regression analysis of training set constructed a Nomogram prediction model. The performance of the Nomogram prediction model was estimated by applying receiver operating curve( ROC) analysis, tested in different nodules size and intermediate risk IPSNs and tested by calibration curve. Results:Independent risk factors selected by regression analysis for solid pulmonary nodules were age, the level of CTC, pleural Indentation, lobulation, spiculation. The Nomogram prediction mode provided an area under ROC( AUC) of 0.888, 0.833 in internal validation set and external validation set, outperforming radiological features model(0.835, P=0.007; 0.804, P=0.043) Mayo clinical model(0.781, P=0.019; 0.726, P=0.033) and CTCs(0.699, P=0.002; 0.648, P=0.012) in both two validation sets, C-index of 0.888, 0.871 and corrected C-index of 0.853, 0.842 in both two validation sets . The AUC of the prediction model with internal validation set was 0.905 and 0.871 for nodule diameter of 5-20 mm and intermediate risk probability. Conclusion:The prediction model in this study has better diagnostic value and practicability, and is more effective in clinical diagnosis of diseases.

Objective    To establish a machine learning model based on computed tomography (CT) radiomics for preoperatively predicting invasive degree of lung ground-glass nodules (GGNs). Methods    We retrospectively analyzed the clinical data of GGNs patients whose solid component less than 3 cm in the Department of Thoracic Surgery of Shanghai Pulmonary Hospital from March 2021 to July 2021 and the First Hospital of Lanzhou University from January 2019 to May 2022. The lesions were divided into pre-invasiveness and invasiveness according to postoperative pathological results, and the patients were randomly divided into a training set and a test set in a ratio of 7∶3. Radiomic features (1 317) were extracted from CT images of each patient, the max-relevance and min-redundancy (mRMR) was used to screen the top 100 features with the most relevant categories, least absolute shrinkage and selection operator (LASSO) was used to select radiomic features, and the support vector machine (SVM) classifier was used to establish the prediction model. We calculated the area under the curve (AUC), sensitivity, specificity, accuracy, negative predictive value, positive predictive value to evaluate the performance of the model, drawing calibration and decision curves of the prediction model to evaluate the accuracy and clinical benefit of the model, analyzed the performance in the training set and subgroups with different nodule diameters, and compared the prediction performance of this model with Mayo and Brock models. Two primary thoracic surgeons were required to evaluate the invasiveness of GGNs to investigate the clinical utility of the mode. Results    A total of 400 patients were divided into the training set (n=280) and the test set (n=120) according to the admission criteria. There were 267 females and 133 males with an ……

Lung cancer is a malignant tumor with the highest mortality worldwide, and its early diagnosis and evaluation have a crucial impact on the comprehensive treatment of patients. Early preoperative diagnosis of lung cancer depends on a variety of imaging and tumor marker indicators, but it cannot be accurately assessed due to its high false positive rate. Liquid biopsy biomarkers can detect circulating tumor cells and DNA in peripheral blood by non-invasive methods and are gradually becoming a powerful diagnostic tool in the field of precision medicine for tumors. This article reviews the research progress of liquid biopsy biomarkers and their combination with clinical imaging features in the early diagnosis of lung cancer.

Objective:To reveal the specific region location of brain function injury after sleep deprivation by exploring cerebral glucose metabolism and blood perfusion changes and the correlation between them in healthy volunteers of sleep deprivation.Methods:From January 2019 to December 2019, a total of 17 healthy volunteers (8 males, 9 females; age (22.5±1.7) years) from People′s Hospital of Zhengzhou University were enrolled prospectively. All patients accepted MRI three-dimensional (3D) arterial spin labeling (ASL) and 18F-FDG PET/CT scanning at 2 h after normal sleep and after sleep deprivation of 24 h. Statistical parametric mapping (SPM) software was used for image processing, and brain metabolism and perfusion differences activation graphs before and after sleep deprivation were obtained respectively. Then the common activated brain regions were obtained as ROI. The cerebral blood flow (CBF) and the SUV ratio (SUVR; the cerebellum was the reference area) were calculated. Pearson correlation analysis and paired t test were used for data analysis. Results:The cerebral metabolism and perfusion of the subjects after sleep deprivation were reduced, and the abnormal brain areas were similar. Brain areas with reduced metabolism were more than those with reduced perfusion. The brain areas with reduced metabolism and perfusion after sleep deprivation were commonly in the frontal lobe, temporal lobe, parietal lobe, etc. The CBF and SUVR value of left dorsolateral frontal gyrus after sleep deprivation were correlated ( r=0.58, P=0.014). The mean CBF value ((46.32±7.39) ml·100 g -1·min -1) and SUVR value (1.46±0.04) of whole brain after sleep deprivation were lower than those before sleep deprivation ((54.91±6.51) ml·100 g -1·min -1, 1.53±0.06; t values: -2.67, -3.72, P values: 0.012, 0.001). Conclusions:The specific region′s location of brain function injury after sleep deprivation is preliminarily revealed. 18F-FDG PET/CT was more sensitive than 3D-ASL for brain function research of sleep deprivation and left dorsolateral frontal gyrus may be a key responsible functional region in subjects of sleep deprivation.