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.

Aim To observe the effects of Compound Dihuang Granules on α-syn,VAPB and PTPIP51 in the substantia nigra of Parkinson's disease(PD)rats with Yin deficiency and wind syndrome,and to explore the possible mechanisms of their actions.Methods The 6-hydroxydopamine-induced PD model of rats was constructed.The model rats were randomly divided into the model group,madopar group,CLD group,CMD group and CHD group,while the NC group did not re-ceive any treatment and the SO group was injected with ascorbic acid,with 13 rats in each group.The neurobe-havioral changes of the rats were observed,and the ex-pressions of α-syn,VAPB and PTPIP51 in the sub-stantia nigra were detected by Western blot,RT-PCR and Immunohistochemistry;the histopathological and morphological changes of the substantia nigra tissue were observed by HE staining,the changes of mito-chondrial ultrastructure in the substantia nigra cells were observed by transmission electron microscopy,and the changes of ATP content in substantia nigra tis-sue in each group were detected by ELISA.Results Compared with the NC and SO groups,rats in the model group showed that the number of rotational cir-cles and pole-climbing time increased,the expression of α-syn increased,the expression of VAPB and PTPIP 5 1 decreased,the number of neuronal cells decreased,the neuronal cells became crumpling,and mitochondrial swelling,disappearance of the mitochon-drial cristae,a larger distance between the ER-mito-chondrial contacts were observed;the ATP content de-creased.Compared with the model group,rats in Mado-par group and CLD group,CMD group and CHD group showed that the number of rotational circles and pole-climbing time decreased,the expression of α-syn de-creased,the expression of VAPB and PTPIP51 in-creased,the degree of neuronal damage was reduced,the morphology of mitochondria was improved and the content of ATP increased,showing the change of the difference in quantitative efficacy;the relative efficacy of Madopar group and CHD group was better,and there was no statistically significant difference.Con-clusions Compound Dihuang granules attenuate the behavioral symptoms in PD rats and may play a thera-peutic role in PD by down-regulating the expression ofα-syn,up-regulating the expression of PTPIP51 and VAPB and improving mitochondrial function.

Aim To clarify the differential proteins of mammary tissues in Xihuang pills(XHP)against hy-perplasia of mammary glands(HMG)based on quanti-tative proteomics technology and validate them,and to explore the mechanism of action.Methods SD rats were randomly divided into blank group,model group and XHP group,with 10 rats in each group.Except for the blank group,estrogen and progesterone were injec-ted intramuscularly to establish a rat model of mamma-ry hyperplasia for 30 d.After XHP was administered for 14 d,the rats in each group were observed to have morphological changes in the apparent morphology of the mammary tissues,and pathological changes in the mammary tissues were stained with hematoxylin-eosin staining(HE),and the differentially expressed pro-teins(DEPs)in the groups were screened by quantita-tive proteomics technology and subjected to bioinforma-tics analysis,and Western blot to verify the key DEPs.Results Compared with the model group,the appar-ent pathological morphology of the XHP group was sig-nificantly improved,the diameter of the nipple height of the rats was significantly reduced(P＜0.01),and the degree of histopathology was significantly allevia-ted.Quantitative proteomics identified 4,299 DEPs in mammary tissue,and bioinformatics analysis of 14 DEPs with consistent changes between the XHP group and the blank group relative to the model group re-vealed that they were related to the regulation of mus-cular systemic processes,regulation of muscle contrac-tion,DNA replication,and pre-initiation of DNA repli-cation.Western blot results showed that,compared with the model group,rat mammary tissue of the XHP group showed significantly lower levels of ACLY and ALDOC protein expression levels were significantly re-duced and BIN1 protein expression levels were signifi-cantly increased(P＜0.01).Conclusions XHP may exert its anti-mammary hyperplasia effect through the regulation of BIN1,ACLY and ALDOC protein lev-els,the regulation of DNA replication,the regulation of pre-initiation of DNA replication and muscular sys-temic processes,and the regulation of muscle contrac-tion.

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.

Aim To investigate the effect of Celastrol on the expression of Ezrin in tissues and HaCaT cells of DNCB sensitisation-induced atopic dermatitis(AD)mice.Methods BALB/c mice were taken and ran-domly divided into the control,DNCB group,Celastrol 25 μg,50 μg,75 μg treatment group,and Dex group,with 8 mice in each group;HaCaT cells were induced with TNF-α and treated with 1 μmol·L-1 Celastrol and Ezrin siRNA.The thickness of the skin on the ear and back of mice was measured by a thickness gauge,and the spleen and lymph nodes of mice were taken to observe the changes.HE and toluidine blue staining were used to observe the inflammatory cells and mast cell infiltration in mice.Flow cytometry was used to detect the levels of IL-4 and TNF-α in the lymph nodes of mice,and enzyme-linked immunosorbent was used to determine the levels of IL-4,TNF-α and IgE in serum of mice,and the expression of IL-4,IL-5 and IL-13 in the supernatant of HaCaT cells.Western blot was used to detect the expression of P-Ezrin and Ezrin in skin tissues.Results Celastrol significantly inhibited the swelling of ear and back skin tissues,reduced the de-granulation of inflammatory cells and mast cells,low-ered serum IgE and serum and lymph node levels of IL-4 and TNF-α,and reduced the activation of Ezrin in mice,and the expression of IL-4,IL-5 and IL-13 in the supernatant of HaCaT cells was restored by the treat-ment with Ezrin siRNA.Conclusion Celastrol amel-iorates AD,which may be achieved by modulating Ezrin activation.

Aim To investigate the protective effect of berberine(BBR)on mice with unilateral ureteral obstr-uction(UUO)and explore its mechanism.Methods C57BL/6 mice were randomly divided into the sham group,UUO group,and BBR treatment groups(50,100 and 200 mg·kg-1),with eight mice in each group.Except the sham group,the other groups were subjected to left ureteral ligation to establish the UUO model.Af-ter modeling,the mice in the sham and UUO groups were fed normal saline,and the mice in the BBR treat-ment groups were fed(50,100,200)mg·kg-1 BBR by gavage for 14 days,respectively.Biochemical analy-zer was employed to detect the levels of serum creati-nine(Scr)and blood urea nitrogen(BUN).HE,Mas-son,TUNEL and immunohistochemical staining were used to observe the pathological changes of renal tis-sue.ELISA was employed to detect the expression of pro-inflammatory cytokines in renal tissue homogenate.Western blot was used to detect the protein levels of NF-κB p65,TGF-β1 and CTGF in mouse kidney.Re-sults Compared with the UUO group,the levels of Scr and BUN in the BBR group were significantly reduced.Renal injury and interstitial fibrosis were alleviated.The expression of pro-inflammatory cytokines decreased in kidney.The expression of NF-κB p65,TGF-β1 and CTGF decreased.All results showed some degree of dose dependence.Conclusion Berberine has a sig-nificant protective effect on unilateral ureteral obstruc-tion mice,and the mechanism may be that BBR has the potential to inhibit NF-κB p65/TGF-β1/CTGF signa-ling pathway,thus reducing renal inflammation and fi-brosis.

Objective To explore the clinical efficacies of different surgical methods for elderly patients with lumbar tuberculosis.Methods The clinical data of 289 elderly patients with lumbar tuberculosis admitted to Hebei Chest Hospital from August 2018 to August 2021 were retrospectively analyzed.According to surgical methods,the patients were divided into the posterior group(109 cases),the anterior and posterior combination group(81 cases),and the anterior group(99 cases).The time of bone graft and fusion,operation time,hospital stay,intraoperative blood loss,and complications of the three groups were collected and compared among the three groups.The spine Cobb angle was regularly determined,the correction degree was calculated;the levels of erythrocyte sedimentation rate(ESR),white blood cell count(WBC),and C-reactive protein(CRP)were collected and compared among the three groups;and the Frankel grading and visual analogue scale(VAS)scores of the three groups were compared.Results After a 2-year follow-up,there was no significant difference in the time of bone graft and fusion among the three groups(P>0.05),the anterior group had the shortest operation time,the posterior group had the shortest hospital stay,and the lowest intraoperative blood loss and incidence of complications,with statistically significant differences(P<0.05).The correction degree of the anterior and posterior combination group was better than that of the posterior group and the anterior group(P<0.05),and the Cobb angles after operation and at the last follow-up in the posterior group was better(P<0.05).The anterior and posterior combination group had better improvement effect on CRP and ESR at the last follow-up(P<0.05),the WBC level of the posterior group was lower(P<0.05).The proportions of patients in grade E of Frankel grading at the last follow-up in the three groups were higher than those after surgery(P<0.05);compared with the preoperative period,the VAS scores at the last follow-up of the three groups decreased(P<0.05),and the VAS score of the posterior group was lower(P<0.05).Conclusion The effects of anterior surgery,posterior surgery and anterior and posterior combined surgery in the treatment of elderly lumbar tuberculosis are good,and the approach method can be scientifically and reasonably formulated according to patients' physical condition to improve the clinical treatment effect.

The aim of this study was to investigate the impact of overexpressing 70-kD heat shock pro-teins(Hsp70)on glycolysis in C2C12 cells during myogenesis and adipogenesis.Using C2C12 cells as the research material,adenovirus was used to overexpress the Hsp70 gene,and changes in the expression of glycolytic genes were detected using fluorescence quantitative PCR and Western blotting techniques.The study indicated that during C2C12 cell myogenic differentiation,the expression trend of the Hsp70 gene was consistent with that of Gsk3β,Pkm,Prkag3,Pfkm,and Hk-2 genes,suggesting a relationship between Hsp70 and the glycolytic pathway during myogenic differentiation.Overexpression of Hsp70 in the later stages of myogenic differentiation significantly upregulated the expression of Gsk3β,Pkm,Prk-ag3,and Pfkm genes(P＜0.05),with no significant impact on Hk-2 gene expression(P＞0.05).Dur-ing C2C12 cell adipogenic induction,the expression trend of the Hsp70 gene was similar to that of Gsk3β,Pkm,Prkag3,Pfkm,and Hk-2 genes,indicating a relationship between Hsp70 and the glycolytic path-way during adipogenic induction.Following Hsp70 overexpression,in the later stages of adipogenic in-duction,the number of lipid droplets was significantly higher compared to the control group,with a sig-nificant upregulation of Gsk3β,Pkm,Prkag3,and Pfkm gene expression(P＜0.05),while Hk-2 gene expression was not significantly affected(P＞0.05).In conclusion,Hsp70 in C2C12 cells in myogenic and adipogenic states promoted the breakdown of glycogen into 6-phospho-glucose,thereby enhancing the glycolytic pathway,providing insights into the functional role of the Hsp70 gene in glycolysis in C2C12 cells.