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 assess the status of sexual behaviors, HIV/AIDS knowledge awareness, and novel synthetic drug use among school attending young students in Guangdong Province, so as to provide evidence base for formulating targeted intervention strategies. Methods: From September to December 2024, a convenience sampling method was employed to conduct an anonymous online survey among 41 119 students from 20 higher education institutions and vocational colleges in Guangdong Province. Chi square test was utilized for rate comparisons and univariate analysis, and a multivariate Logistic regression model was applied to analyze factors associated with novel synthetic drug use. Results: The self reported rate of sexual behavior was 5.2%. Among sexually active students, the rates of unprotected sexual intercourse, having temporary sexual partners, and having commercial sexual partners were 32.4%, 34.5%, and 26.3%, respectively. The awareness rate of HIV related knowledge was 75.7%. The overall use rate of novel psychoactive substances(NPS) was 1.0%, and among sexually active students it was 6.5%. Multivariate Logistic regression analysis showed that students with sexual experience ( OR =4.15) and those with HIV testing history ( OR =9.38) had higher risks of NPS use; among sexually active students, those with unprotected sexual intercourse ( OR =6.83) and those with commercial sexual partners ( OR = 4.68 ) had higher risks of NPS use (all P <0.05). Conclusions The HIV/AIDS knowledge level among surveyed students needs further improvement, and high risk sexual behaviors are cross linked with novel synthetic drug use. It is recommended to carry out integrated health education for all students and implement comprehensive targeted interventions for sexually active students.

BackgroundStressful life events are associated with subclinical depressive and anxious symptoms， which may increase the risk of subsequent depressive and anxiety disorders. However， the mechanisms linking stressful life events to subclinical emotional symptoms remain unclear. ObjectiveTo explore the clinical characteristics of individuals with subclinical depression and anxiety following stressful events， and to analyze the mechanisms by which stressful events affect subclinical depressive and anxious symptoms， so as to provide a reference for the early identification and intervention of emotional symptoms in individuals under stress. MethodsFrom December 2024 to April 2025， 80 individuals with subclinical depression and/or anxiety （study group） and 80 healthy controls were recruited via the online official accounts of Beijing Anding Hospital， Capital Medical University and Beijing Huilongguan Hospital， Capital Medical University. Participants completed the Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， the Generalized Anxiety Disorder Scale-7 item （GAD-7）， the Life Event Scale （LES）， the Self-rating Idea of Suicide Scale （SIOSS）， and the Dysfunctional Attitude Scale （DAS）. Spearman rank correlation analysis was used to examine the associations in the study group. Serial mediation analyses were conducted using model 6 of Process version 4.1， to test whether cognitive distortion and hopelessness mediated the associations of stressful life events with subclinical depressive and anxious symptoms. ResultsCompared with healthy controls， participants with subclinical depressive and anxious symptoms had higher scores on PHQ-9， GAD-7， LES， SIOSS hopelessness subscale， and DAS scores （Z/t=10.294， 9.197， 4.659， 6.918， 3.517， P<0.01）. In the study group， GAD-7 score was positively correlated with LES， DAS， and SIOSS hopelessness subscale scores （r_s=0.233， 0.465， 0.588， P<0.05）； SIOSS hopelessness subscale score was positively correlated with DAS and LES scores （r_s=0.393， 0.309， P<0.01） and cognitive distortion was positively correlated with stressful life events（r_s=0.432， P<0.01）. Stressful life events were directly associated with subclinical anxiety symptoms （β=0.040， 95% CI： 0.015–0.065， P<0.05）， and showed a significant serial indirect association with subclinical anxiety symptoms （indirect effect=0.006， 95% CI： 0.001–0.017， P<0.01）， accounting for 7.15% of the total effect. Stressful life associated with subclinical depressive symptoms （β=0.087， 95% CI： 0.060–0.115， P<0.01）， however， the indirect effect through cognitive distortion and hopelessness were not statistically significant. ConclusionAfter experiencing stressful events， individuals with subclinical depression and anxiety exhibit more pronounced cognitive distortions and hopelessness. Stressful events can both directly affect subclinical anxiety symptoms and indirectly affect them through the serial mediating effects of cognitive distortion and hopelessness. Stressful events have a direct effect on subclinical depressive symptoms， whereas the mediating effects of cognitive distortion and hopelessness are no statistically significant. ［Funded by the Training Program for the Development of High-level Public Health Technical Talents （number， Academic Leader-01-22）； www.chictr.org.cn number， ChiCTR2400093516］

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.

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.

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 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 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.