Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Important forensic diagnostic indicators of sudden death in coronary atherosclerotic heart dis-ease,such as acute or chronic myocardial ischemic changes,sometimes make it difficult to locate the ischemic site due to the short death process,the lack of tissue reaction time.In some cases,the de-ceased died of sudden death on the first-episode,resulting in difficulty for medical examiners to make an accurate diagnosis.However,clinical studies on coronary instability plaque revealed the key role of coronary spasm and thrombosis caused by their lesions in sudden coronary death process.This paper mainly summarizes the pathological characteristics of unstable coronary plaque based on clinical medi-cal research,including plaque rupture,plaque erosion and calcified nodules,as well as the influencing factors leading to plaque instability,and briefly describes the research progress and technique of the atherosclerotic plaques,in order to improve the study on the mechanism of sudden coronary death and improve the accuracy of the forensic diagnosis of sudden coronary death by diagnosing different patho-logic states of coronary atherosclerotic plaques.

Objective Data mining method was used to analyze the Chinese herbal prescriptions for oral use in treating venomous snake bites collected from the major domestic literature databases and the surgery volume of Zhong Hua Yi Fang(Chinese Medical Prescriptions),so as to explore their potential prescription and medication rules,and to provide references for the treatment of venomous snake bites in the primary hospitals.Methods The Chinese herbal prescriptions for oral use in treating venomous snake bites were retrieved from the CNKI,VIP and Wanfang databases,and the ancient formulas for treating venomous snake bites were screened in the surgery volume of Zhong Hua Yi Fang(Chinese Medical Prescriptions).Excel software was used to extract the relevant information of the formulas,and R language was used to analyze the medication frequency,properties,flavors and meridian tropism of the herbs as well as their association rules and clustering analysis.Results A total of 187 prescriptions for oral use in treating venomous snake bite were obtained,involving 284 Chinese herbal medicines.The top 15 Chinese herbal medicines in decreasing sequence of medication frequency were Lobeliae Chinensis Herba,Rhei Radix et Rhizoma,Angelicae Dahuricae Radix,Glycyrrhizae Radix et Rhizoma,Paridis Rhizoma,Rehmanniae Radix,Coptidis Rhizoma,Scutellariae Radix,Lonicerae Japonicae Flos,Paeoniae Radix Rubra,Moutan Cortex,Hedyotis Diffusae Herba,Imperatae Rhizoma,Plantaginis Herba,and Scutellariae Barbatae Herba.The flavor of herbs in the prescription for the treatment of venomous snakebite was usually bitter,pungent and sweet,and their property was relatively cold.Most of the herbs had the meridian tropism of the liver meridian and lung meridian.The core prescription mainly composed of Rhei Radix et Rhizoma,Lobeliae Chinensis Herba,and Paridis Rhizoma was obtained after association rule analysis and cluster analysis.Conclusion The herbs for the treatment of venomous snake bites often have the actions of clearing heat and removing toxins,and the prescription is usually composed of Rhei Radix et Rhizoma,Lobeliae Chinensis Herba,Paridis Rhizoma together with the compatibility of medicines for clearing heat and cooling blood,extinguishing wind and arresting convulsion,clearing heat and promoting urination.

Objective To evaluate the clinical efficacy of Chevron minimally-invasive osteotomy and internal fixation with ISO intramedullary plate plus traditional Chinese medicine(TCM)bone-setting manipulations for the treatment of moderate hallux valgus.Methods A retrospective study was conducted.A total of 49 patients(62 feet)with moderate hallux valgus were treated with Chevron minimally-invasive osteotomy and internal fixation with ISO intramedullary plate,and were given TCM bone-setting manipulations before the operation,during the operation,and after the operation.The efficacy was evaluated by using the Visual Analogue Scale(VAS)score and the American Orthopedic Foot and Ankle Society(AOFAS)forefoot score after the operation.Before the operation and 12 months after the operation,the hallux valgus angle(HVA),intermetatarsal angle(IMA)between the first and second metatarsal bone,and the distal metatarsal articular angle(DMAA)showed by X-ray imaging in the weight-bearing position of the foot were recorded.Results(1)All of the 49 patients were followed up for 12 to 24 months,with a mean of(20.6±3.1)months.(2)The X-ray imaging assessment showed that 12 months after the operation,the mean HVA,IMA and DMAA values of the 49 patients(62 feet)were significantly lower than those before the operation,and the differences were all statistically significant(P＜0.01).(3)Twelve months after the operation,the pain VAS score of 49 patients was(3.14±1.21)points,which was significantly lower than the preoperative score points(7.26±2.52),and the difference was statistically significant(P＜0.01).(4)The assessment of joint function showed that 12 months after the operation,the scores of various AOFAS items of pain,function and hallux alignment as well as the overall AOFAS scores of 49 patients were significantly higher than those before the operation,and the differences were statistically significant(P＜0.01).(5)For the 62 feet in 49 patients,the excellent efficacy was achieved in 53 feet,good efficacy was achieved in 7 feet,and fair efficacy was achieved in 2 feet,with the fine rate of 96.77%(60/62).Conclusion For the treatment of moderate hallux valgus,the application of Chevron minimally-invasive osteotomy and internal fixation with ISO intramedullary plate plus TCM bone-setting manipulations is effective on promoting the reset of hallux-metatarsophalangeal joint,restoring the balance of the joint,and maintaining the equilibrium state of the joint through postoperative rehabilitation guidance.The combined therapy exerts certain efficacy,reduces the recurrence rate,and eventually achieves the early rehabilitation after the operation.

Objective To investigate the effect of Anlotinib on proliferation and apoptosis in non-small cell lung cancer(NSCLC)cells and its molecular mechanism.Methods Non-small cell lung cancer cell lines A549 and H1299 were incubated with Anlotinib,miR-16-5p agonist and/or PD-1 overexpression vector respectively.CCK-8 assay and EDU assay were applied to detect the proliferation.Flow cytometry was performed to detect the cell apop-tosis.The relative expression of miR-16-5 p in A549 and H1299 was detected by real-time quantitative polymerase chain reaction(RT-qPCR).The relative protein expression of PD-1 in A549 and H1299 was detected by Western blot assay.The interaction between miR-16-5p and PD-1 was determined by dual luciferase reporter assay.Finally,A549 cell xenograft model was established to assess the effect of Anlotinib on tumor growth in vivo.Results Anlotinib significantly increased miR-16-5p expression and decreased PD-1 expression in A549 cells and H1299 cells,inhibited cell proliferation and promoted apoptosis in a dose-dependent manner(P＜0.05).The highly-expressed miR-16-5p inhibited proliferation and promoted cell apoptosis(P＜0.05).Also,miR-16-5p targeted at PD-1 and negatively regulated PD-1 expression.Knockdown of PD-1 inhibited proliferation and pro-moted cell apoptosis(P＜0.05).PD-1 over-expression reversed the Anlotinib-mediated pro-proliferation and anti-apoptosis of miR-16-5p in A549 cells and H1299 cells(P＜0.05).Anlotinib significantly reduced tumor growth in vivo(P＜0.05).Conclusions Anlotinib may inhibit cell proliferation,anti-apoptosis,and reduce tumor growth for NSCLC,which is involved in miR-16-5p/PD-1 axis.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Objective Genotypes(G)1,3,and 5 of the Japanese encephalitis virus(JEV)have been isolated in China,but the dominant genotype circulating in Chinese coastal areas remains unknown.We searched for G5 JEV-infected cases and attempted to elucidate which JEV genotype was most closely related to human Japanese encephalitis(JE)in the coastal provinces of China. Methods In this study,we collected serum specimens from patients with JE in three coastal provinces of China(Guangdong,Zhejiang,and Shandong)from 2018 to 2020 and conducted JEV cross-neutralization tests against G1,G3,and G5. Results Acute serum specimens from clinically reported JE cases were obtained for laboratory confirmation from hospitals in Shandong(92 patients),Zhejiang(192 patients),and Guangdong(77 patients),China,from 2018 to 2020.Seventy of the 361 serum specimens were laboratory-confirmed to be infected with JEV.Two cases were confirmed to be infected with G1 JEV,32 with G3 JEV,and two with G5 JEV. Conclusion G3 was the primary infection genotype among JE cases with a definite infection genotype,and the infection caused by G5 JEV was confirmed serologically in China.

Objective:To investigate the clinical features and genetic variant of a child with West syndrome due to a variant of NEXMIF gene. Methods:A child who was admitted to Department of Pediatrics, the First Medical Center of Chinese PLA General Hospital in March 2021 was selected as the study subject. Clinical data of the patient was collected. The child and his parents were subjected to whole exome sequencing. Candidate variant was verified by Sanger sequencing and pathogenicity analysis.Results:The child, a 4-month-old boy, had presented with spastic seizures with no obvious cause. Abnormal EEG, severe hypsarrhythmia, and multiple spastic seizures were discovered. Cranial MRI revealed widening of the extracerebral space at the top of the frontal lobe. Physical examination revealed that he could not hold his head up, and could not respond to sounds or follow objects with eyes. He also has microcephaly, with height < 1 s. The child was diagnosed with West syndrome at a local hospital, and given prednisone orally for 3 months, with seizures under control. Topiramate tablets were taken orally for maintenance treatment, and he has been seizure-free for 7 months. DNA sequencing revealed that he has harbored a de novo nonsense variant of c. 982_c.983delTT (p.L328Dfs*23) in the NEXMIF gene. Conclusion:For children with West syndrome with severe developmental delay or even regression as the first symptoms, uncontrollable seizures and abnormal facial appearance, mutations in the NEXMIF gene should be suspected, and genetic testing can facilitate early diagnosis and treatment.