BackgroundEmotional disorders in adolescents have emerged as a prominent issue in recent years. Current mainstream clinical assessment approaches for such conditions predominantly rely on interviews and rating scales， which are limited by inherent drawbacks such as high subjectivity and recall bias. Accordingly， there exists an urgent clinical need for the development of objective， quantifiable auxiliary diagnostic tools.In previous studies， frontal electroencephalography （EEG） has demonstrated significant value in assessing depressive and anxiety. However， the lack of standardized quantitative metrics and intuitive visual analytical approaches has severely restricted clinical interpretability of EEG data and diminished patient engagement. To address these key limitations， the present study proposes an innovative analytical framework that converts frontal EEG signals into quantifiable visual metrics to enhance clinical comprehension and acceptance. ObjectiveTo explore the value of frontal EEG in assessing anxiety， depression， and sleep quality in adolescents with emotional disorders， with the aim of providing objective auxiliary tools for clinical diagnosis and assessment of adolescents with emotional disorders. MethodsThis cross-sectional study recruited 105 adolescents aged 12-18 years who visited the outpatient department of a specialized mental hospital in Beijing from April 2023 to April 2024. All participants met the diagnostic criteria for mood （affective） disorders or anxiety disorders in the International Classification of Diseases， tenth edition （ICD-10）. Frontal EEG signals were collected within a big data analytics-driven framework and further processed by EEG system to generate six quantitative cerebral function indices， namely brain load， tension and excitement， emotional stress， sleepiness index， cerebral vitality， and cerebral fatigue. In addition， validated standardized scales， including the Self-rating Anxiety Scale （SAS）， the Self-rating Depression Scale （SDS）， and the Pittsburgh Sleep Quality Index （PSQI）， were administered for anxiety， depressive symptoms， and sleep quality， respectively. ResultsIn adolescent patients with emotional disorders， the SAS score exhibited significant positive correlations with brain load （r_s=0.328， P<0.01）， emotional stress （r_s=0.341， P<0.01）， and cerebral fatigue （r_s=0.286， P<0.01）. The SDS score was positively correlated with brain load （r_s=0.275， P<0.01）， emotional stress （r_s=0.241， P<0.05）， and cerebral fatigue （r_s=0.311， P<0.01）， while showing a significant negative correlation with cerebral vitality （r_s=-0.212， P<0.05）. Additionally， the PSQI total score demonstrated positive correlations with brain load （r_s=0.340， P<0.01）， emotional stress （r_s=0.322， P<0.01）， and cerebral fatigue （r_s=0.229， P<0.05）. ConclusionFrontal EEG-derived indices， including brain load， emotional stress， cerebral fatigue and cerebral vitality， may serve as objective markers for reflecting anxiety， depression， and sleep quality in adolescents with emotional disorders. ［Funded by Beijing High level Innovation and Entrepreneurship Talent Support Program （number， 202504841041）； Horizontal Joint Project］

Objective·To investigate the regulatory effects and underlying mechanisms of mouse mandibular osteoblasts on B cell differentiation and development.Methods·Single-cell suspensions from mouse mandibular bone were prepared using an optimized enzymatic digestion method and induced to differentiate into osteoblasts in vitro.Osteogenic potential was validated by real-time quantitative PCR(RT-qPCR),alkaline phosphatase(ALP)staining,and alizarin red S(ARS)staining.The spatial localization relationship between osteoblasts and B cells in mandibular tissues was examined via immunofluorescence staining.High-purity hematopoietic progenitor cells were isolated using fluorescence-activated cell sorting.A Transwell co-culture system was established to assess the regulatory effects of different osteoblast concentrations(5×104,2.5×105,and 5×105 cells/well)on B cell differentiation(5×104 cells/well).Flow cytometry and RT-qPCR were employed to evaluate B cell viability and differentiation.Additionally,RT-qPCR was used to analyze the expression of osteoblast-secreted factors associated with B cell development during osteogenic differentiation.Results·Mandibular osteoblasts exhibited robust osteogenic potential,as confirmed by ALP/ARS staining and high expression of osteogenic markers(Runx2,Osx,Ocn,and Alp)via RT-qPCR.Immunofluorescence revealed close spatial proximity between osteoblasts and B cells in mandibular tissues.In the co-culture system,osteoblasts promoted B cell differentiation in a concentration-dependent manner.RT-qPCR and immunofluorescence demonstrated that osteoblasts significantly upregulated key genes involved in B cell development(Ebf1,Rag1,Il7r,and Pax5;all P<0.001).Furthermore,osteoblast-derived factors(Il7,Baff,and Flt3l)were markedly elevated during osteogenic differentiation(all P<0.05).Conclusion·Mandibular osteoblasts enhance B cell differentiation and development in a concentration-dependent manner,likely through secreting growth factors that upregulate critical B cell differentiation genes.

Objective To compare the segmenting efficacy of automatic segmentation models for advanced gastric cancer(AGC)on CT virtual monoenergetic images(VMI),non-linear blending images(NLBI)and mixed-energy images(MEI)based on 3D-nnU-Net.Methods Totally 216 cases of AGC were retrospectively enrolled,among them 185 cases were used to construct,train and validate models and divided into training set(n=154)and test set(n=31)at the ratio of 5∶1,while the other 31 cases were used as validation set to evaluate the generalization of the models.The 70 keV energy level VMI(VMI70 keV),NLBI and MEI were reconstructed with whole-abdominal dual-energy mode venous CT,and automatic segmentation models of AGC,including VMI70 keV,NLBI and MEI models were constructed using 3D-nnU-Net,respectively.Taken manually segmented results as golden standards,the efficacy of each model for segmenting all lesions and T2 stage lesions in test set and validation set were evaluated using Dice similarity coefficient(DSC),intersection over union(IoU)and average symmetric surface distance(ASSD).Results For all lesions in test and validation sets,DSC of 3 models were all＞0.80.DSC and IoU of VMI70 keV and NLBI models were both higher,while their ASSD was lower than those of MEI model(all P＜0.05).For T2 stage AGC in both test set and validation set(each n=5),DSC of MEI model was lower than that of VMI70 keV and NLBI models(both P＜0.05),while IoU of MEI model was lower than that of VMI70 keV model(P＜0.05),and its ASSD was higher than that of NLBI model(P＜0.05).Conclusion All 3D-nnU-Net-based VMI70 keV,NLBI and MEI models could effectively segment AGC on dual-energy CT images,and the segmentation efficacy of the former two were better.

Objective To elucidate the anti-aging effect of β-sitosterol(BS),an important component in the fruits of Alpinia oxyphylla Miq.,in C.elegans and its regulatory effect on ETS-5 gene to modulate ferroptosis.Methods C.elegans treated with 10 μg/mL BS were monitored for survival time and changes in body length,motility,and reproductive function.The effect of ETS-5 gene knockdown on survival time of C.elegans was observed,and the changes in fat accumulation and lipid redox homeostasis in the transfected C.elegans were assessed using Oil Red O staining and by detecting MDA levels and the GSH/GSSG ratio.The mRNA expression levels of ferroptosis-related genes(FTN-1,GPX-1 and AAT-9)were detected using qPCR.The effects of BS treatment and ETS-5 knockdown on AAT-9 enzyme activity in C.elegans were examined.The effect of BS on nuclear localization of FEV(the human homolog of ETS-5)was validated in cultured human umbilical venous endothelial cells(HUVECs).Results Both BS treatment and ETS-5 knockdown significantly prolonged the lifespan,promoted lipid accumulation and reduced lipid peroxidation in C.elegans.ETS-5 knockdown resulted in upregulated expressions of the ferroptosis repressors GPX-1,AAT-9 and FTN-1 and increased the GSH/GSSG ratio in C.elegans.Conclusion BS inhibits ferroptosis in C.elegans by suppressing the expression of ETS-5 transcription factor and hence the activity of AAT-9 enzyme,a key gene for ferroptosis,which in turn prolongs the lifespan of C.elegans.

OBJECTIVES: To elucidate the anti-aging effect of β-sitosterol (BS), an important component in the fruits of Alpinia oxyphylla Miq., in C. elegans and its regulatory effect on ETS-5 gene to modulate ferroptosis. METHODS: C. elegans treated with 10 µg/mL BS were monitored for survival time and changes in body length, motility, and reproductive function. The effect of ETS-5 gene knockdown on survival time of C. elegans was observed, and the changes in fat accumulation and lipid redox homeostasis in the transfected C. elegans were assessed using Oil Red O staining and by detecting MDA levels and the GSH/GSSG ratio. The mRNA expression levels of ferroptosis-related genes (FTN-1, GPX-1 and AAT-9) were detected using qPCR. The effects of BS treatment and ETS-5 knockdown on AAT-9 enzyme activity in C. elegans were examined. The effect of BS on nuclear localization of FEV (the human homolog of ETS-5) was validated in cultured human umbilical venous endothelial cells (HUVECs). RESULTS: Both BS treatment and ETS-5 knockdown significantly prolonged the lifespan, promoted lipid accumulation and reduced lipid peroxidation in C. elegans. ETS-5 knockdown resulted in upregulated expressions of the ferroptosis repressors GPX-1, AAT-9 and FTN-1 and increased the GSH/GSSG ratio in C. elegans. CONCLUSIONS BS inhibits ferroptosis in C. elegans by suppressing the expression of ETS-5 transcription factor and hence the activity of AAT-9 enzyme, a key gene for ferroptosis, which in turn prolongs the lifespan of C. elegans.
Animals ; Caenorhabditis elegans/physiology* ; Ferroptosis/drug effects* ; Alpinia/chemistry* ; Sitosterols/pharmacology* ; Longevity/drug effects* ; Fruit/chemistry* ; Humans

Objective To compare the segmenting efficacy of automatic segmentation models for advanced gastric cancer(AGC)on CT virtual monoenergetic images(VMI),non-linear blending images(NLBI)and mixed-energy images(MEI)based on 3D-nnU-Net.Methods Totally 216 cases of AGC were retrospectively enrolled,among them 185 cases were used to construct,train and validate models and divided into training set(n=154)and test set(n=31)at the ratio of 5∶1,while the other 31 cases were used as validation set to evaluate the generalization of the models.The 70 keV energy level VMI(VMI70 keV),NLBI and MEI were reconstructed with whole-abdominal dual-energy mode venous CT,and automatic segmentation models of AGC,including VMI70 keV,NLBI and MEI models were constructed using 3D-nnU-Net,respectively.Taken manually segmented results as golden standards,the efficacy of each model for segmenting all lesions and T2 stage lesions in test set and validation set were evaluated using Dice similarity coefficient(DSC),intersection over union(IoU)and average symmetric surface distance(ASSD).Results For all lesions in test and validation sets,DSC of 3 models were all＞0.80.DSC and IoU of VMI70 keV and NLBI models were both higher,while their ASSD was lower than those of MEI model(all P＜0.05).For T2 stage AGC in both test set and validation set(each n=5),DSC of MEI model was lower than that of VMI70 keV and NLBI models(both P＜0.05),while IoU of MEI model was lower than that of VMI70 keV model(P＜0.05),and its ASSD was higher than that of NLBI model(P＜0.05).Conclusion All 3D-nnU-Net-based VMI70 keV,NLBI and MEI models could effectively segment AGC on dual-energy CT images,and the segmentation efficacy of the former two were better.

Objective·To investigate the regulatory effects and underlying mechanisms of mouse mandibular osteoblasts on B cell differentiation and development.Methods·Single-cell suspensions from mouse mandibular bone were prepared using an optimized enzymatic digestion method and induced to differentiate into osteoblasts in vitro.Osteogenic potential was validated by real-time quantitative PCR(RT-qPCR),alkaline phosphatase(ALP)staining,and alizarin red S(ARS)staining.The spatial localization relationship between osteoblasts and B cells in mandibular tissues was examined via immunofluorescence staining.High-purity hematopoietic progenitor cells were isolated using fluorescence-activated cell sorting.A Transwell co-culture system was established to assess the regulatory effects of different osteoblast concentrations(5×104,2.5×105,and 5×105 cells/well)on B cell differentiation(5×104 cells/well).Flow cytometry and RT-qPCR were employed to evaluate B cell viability and differentiation.Additionally,RT-qPCR was used to analyze the expression of osteoblast-secreted factors associated with B cell development during osteogenic differentiation.Results·Mandibular osteoblasts exhibited robust osteogenic potential,as confirmed by ALP/ARS staining and high expression of osteogenic markers(Runx2,Osx,Ocn,and Alp)via RT-qPCR.Immunofluorescence revealed close spatial proximity between osteoblasts and B cells in mandibular tissues.In the co-culture system,osteoblasts promoted B cell differentiation in a concentration-dependent manner.RT-qPCR and immunofluorescence demonstrated that osteoblasts significantly upregulated key genes involved in B cell development(Ebf1,Rag1,Il7r,and Pax5;all P<0.001).Furthermore,osteoblast-derived factors(Il7,Baff,and Flt3l)were markedly elevated during osteogenic differentiation(all P<0.05).Conclusion·Mandibular osteoblasts enhance B cell differentiation and development in a concentration-dependent manner,likely through secreting growth factors that upregulate critical B cell differentiation genes.

Objective: To understand the prevalence of HIV testing and related factors among young students who had sex in Guangdong Province, in order to provide evidence for relevant education programs and HIV testing promotion in young students. Methods: From September to December 2022, a convenient sampling method was used to select 48 749 young students from 16 universities and mechanic colleges in 6 cities including Guangzhou, Shantou, Maoming, Huizhou, Dongguan, and Zhongshan in Guangdong Province for online questionnaire survey. A total of 2 971 students who ever had sexual experiences were screened out, and the HIV testing situation and related factors were investigated by using the questionnaire designed by AIDS Prevention and Education Project for College Students of China STD and AIDS Prevention Association.The influencing factors of HIV testing were analyzed using Chi square test and multiple Logistic regression model. Results: Among students who had sexual experiences, 11.92% (354/2 971) were tested for HIV. The results of multivariate Logistic regression analysis showed that among young sexual students, using psychoactive substances during sexual activity in the last 1 year ( OR =7.70), having first sex with the same sex ( OR =3.87), having commercial sex ( OR =2.37), having heard of PEP ( OR =2.20), having a high level of self assessed understanding of HIV testing ( OR =1.73), inconsistent use of condoms ( OR =1.56), being aware of HIV infection ( OR =1.53), being aware of HIV knowledge ( OR =1.51) were more likely to test for HIV, and females ( OR =0.39) were less likely to test for HIV ( P < 0.05). Conclusions The proportion of HIV testing is low among sexually active young students in Guangdong Province. Targeted interventions should be tailored to promote HIV testing coverage.

Objective:To investigate the value of CT radiomic model based on analysis of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer in differentiating stage T1-2 from stage T3-4 gastric cancer.Methods:This study was a case-control study. Totally 465 patients with gastric cancer treated in Affiliated People′s Hospital of Jiangsu University from December 2011 to December 2019 were retrospectively collected. According to postoperative pathology, they were divided into 2 groups, one with 150 cases of T1-2 tumors and another with 315 cases of T3-4 tumors. The cases were divided into a training set (326 cases) and a test set (139 cases) by stratified sampling method at 7∶3. There were 104 cases of T1-2 stage and 222 cases of T3-4 stage in the training set, 46 cases of T1-2 stage and 93 cases of T3-4 stage in the test set. The axial CT images in the venous phase during one week before surgery were selected to delineate the region of interest (ROI) at the primary lesion and the extramural gastric adipose tissue adjacent to the cancer areas. The radiomic features of the ROIs were extracted by Pyradiomics software. The least absolute shrinkage and selection operator was used to screen features related to T stage to establish the radiomic models of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer. Independent sample t test or χ2 test were used to compare the differences in clinical features between T1-2 and T3-4 patients in the training set, and the features with statistical significance were combined to establish a clinical model. Two radiomic signatures and clinical features were combined to construct a clinical-radiomics model and generate a nomogram. The area under the receiver operating characteristic curve (AUC) was used to evaluate the efficacy of each model in differentiating stage T1-2 from stage T3-4 gastric cancer. The calibration curve was used to evaluate the consistency between the T stage predicted by the nomogram and the actual T stage of gastric cancer. And the decision curve analysis was used to evaluate the clinical net benefit of treatment guided by the nomogram and by the clinical model. Results:There were significant differences in CT-T stage and CT-N stage between T1-2 and T3-4 patients in the training set ( χ2=10.59, 15.92, P=0.014, 0.001) and the clinical model was established. After screening and dimensionality reduction, the 5 features from primary gastric cancer and the 6 features from the adipose tissue outside the gastric wall beside cancer established the radiomic models respectively. In the training set and the test set, the AUC values of the primary gastric cancer radiomic model were 0.864 (95% CI 0.820-0.908) and 0.836 (95% CI 0.762-0.910), and the adipose tissue outside the gastric wall beside cancer radiomic model were 0.782 (95% CI 0.731-0.833) and 0.784 (95% CI 0.702-0.866). The AUC values of the clinical model were 0.761 (95% CI 0.705-0.817) and 0.758 (95% CI 0.671-0.845), and the nomogram were 0.876 (95% CI 0.835-0.917) and 0.851 (95% CI 0.781-0.921). The calibration curve reflected that there was a high consistency between the T stage predicted by the nomogram and the actual T stage in the training set ( χ2=1.70, P=0.989). And the decision curve showed that at the risk threshold 0.01-0.74, a higher clinical net benefit could be obtained by using a nomogram to guide treatment. Conclusions:The CT radiomics features of primary gastric cancer lesions and the adipose tissue outside the gastric wall beside cancer can effectively distinguish T1-2 from T3-4 gastric cancer, and the combination of CT radiomic features and clinical features can further improve the prediction accuracy.