Objective: To explore the developmental trajectories of depression in children and adolescents and their association with family types, and to analyze the role of being an only child in the context, so as to provide a basis for early identification of mental health issues in children and adolescents. Methods: The study was a secondary analysis based on the existing database of the Jiangsu Provincial Student Common Diseases and Health Influencing Factors Monitoring and Intervention Project. A total of 11 502 students who had completed at least two measurements using the Chinese version of the Center for Epidemiologic Studies Depression Scale (CES-D) between 2022 and 2024, and had complete information on family type, gender, and age, were selected as the study subjects. Latent class trajectory modeling was used to identify depression developmental trajectories. Multinomial Logistic regression was applied to analyze the association between family type and depression developmental trajectories, and the interaction effect of family type and being an only child was tested. Results: Three types of depression developmental trajectories were identified among children and adolescents: low stable type (91.3%, 10 504 students), moderate rising type (4.3%, 500 students), and high declining type (4.3%, 498 students). Significant differences were observed among the different trajectory groups in terms of gender, age, parental education level, family type, baseline CES-D score, and baseline school type ( χ 2/H=17.48, 139.97, 19.72 , 30.77, 1 081.35, 220.81, all P <0.05). Multinomial Logistic regression analysis showed that, using the low stable type as the reference trajectory group and the nuclear family as the reference family type, after adjusting for confounding factors such as gender, age, and parental education level, single parent families ( OR=1.87, 95%CI= 1.16-3.03) and grandparent headed families ( OR=1.83, 95%CI =1.04-3.21) were significantly associated with the high declining type trajectory (both P <0.05). No significant association was found between family type and the moderate rising type trajectory (all P >0.05). The interaction effect between family type and being an only child was not statistically significant ( LRT=7.71, df=8, P =0.46). Conclusions Depressive symptoms in children and adolescents show heterogeneous developmental patterns during school age. Children and adolescents from single parent and intergenerational families are more likely to follow the high decreasing trajectory.

Objective To investigate the relationship between the intraluminal characteristics of the occlusion segment and the degree of the primary collateral circulation(Circle of Willis)opening in patients with acute internal carotid artery occlusion(ICAO)and the occurrence of different subtypes of ipsilateral intracranial watershed infarction(WSI).Methods A total of 63 patients with unilateral acute ICAO accompanied by ipsilateral intracranial WSI were retrospectively included and divided into the internal watershed infarction(IWSI)group and the cortical watershed infarction(CWSI)group.The intraluminal characteristics of the occlusion segment and the degree of the Circle of Willis opening were analyzed using vessel wall magnetic resonance imaging(VW-MRI).Multivariate binary logistic regression analysis was employed to identify independent predictive indicators for the occurrence of CWSI.Results There was no significantly statistical difference in the occlusion range between the two groups.The range of intraluminal high signal involvement,the ratio of intraluminal relative highest signal,the incidence of high signal at the end of occlusion,and the degree of the Circle of Willis opening in the CWSI group were higher than those in the IWSI group(P<0.001).The range of intraluminal high signal involvement,high signal at the end of occlusion,and the degree of the Circle of Willis opening were identified as independent predictive factors for CWSI.Conclusion VW-MRI analysis of the intraluminal characteristics of the occlusion segment and the degree of the Circle of Willis opening can help to elucidate the mechanisms underlying the occurrence of IWSI/CWSI and can provide assistance in formulating etiology-based treatment strategies for clinical practice.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

This study was aimed at investigating the effects of demethylase fat mass and obesity-associated protein(FTO)and methyltransferase methyltransferase like protein 3(METTL3),key molecules in N6-methyladenosine(m6A)modification,on the replication and proliferation of Japanese encephalitis virus(JEV).Recombinant lentiviruses were generated by packaging the FTO and green fluorescent protein into lentiviral vectors.Neuro2a cells,a mouse neuroblastoma cell line,were infected with the lentivirus,and stable FTO-expressing cell lines were obtained through puromycin selection.Successful overexpression of FTO was confirmed through fluorescence microscopy,real-time quantitative PCR,and western blot analysis.When Neuro2a cells overexpressing FTO were infected with JEV,the overexpression of FTO decreased JEV replication in the cells,and increased the expression of interferon(IFN)and related molecules.Additionally,treatment of JEV-infected Neuro2a cells with the METTL3-specific inhibitor STM2457 resulted in a dose-dependent decrease in JEV replication and viral protein expression.These findings suggested that lowering m6A methylation levels inhibits JEV replication,thus shedding light on the regulatory role of methylation modification in JEV replication.

Objective To explore the mechanism of action of tanthine in the treatment of allergic rhinitis(AR)complicated with asthma in rats by regulating microRNA-27a-3p(miR-27a-3p)targeting thymic stromal lymphopoietin(TSLP).Methods The AR-asthma rat model was established using ovalbumin(OVA)sensitization and nasal drip attack method.Fifty rats were divided into control group(equal volume 0.9％NaCl),model group(AR-asthma model+equal volume 0.9％NaCl),experimental group(AR-asthma model+100 mg·kg-1 xanthortin)and miR-27a-3p inhibitor group(caudal vein injection of 0.5 nmol·μL-1 miR-27a-3p inhibitor 10 μL on the basis of the experimental group),si-TSLP group(0.5 nmol·μL-1 si-TSLP 10 μL intravenously injected on the basis of miR-27a-3p inhibitor group),10 rats in each group.Serum immunoglobulin E(IgE),interleukin-2(IL-2),IL-13 and tumor necrosis factor-α(TNF-α)levels of rats were detected by enzyme-linked immunosorbent assay.The level of superoxide dismutase(SOD)was detected by xanthoxine oxidase method.The level of malonaldehyde(MDA)was detected by thiobarbituric acid method(TBA).Results The levels of IgE in control group,model group,experimental group,miR-27a-3p inhibitor group and si-TSLP group were(18.33±3.53),(89.95±17.62),(55.70±10.08),(78.43±15.30)and(47.87±9.44)ng·mL-1,respectively;IL-2 levels were(8.01±1.36),(19.61±3.94),(14.12±2.51),(17.33±3.18)and(11.89±2.03)pg·mL-1,respectively;IL-13 levels were(6.79±1.33),(34.15±7.02),(24.70±5.13),(35.97±7.24)and(20.53±4.26)pg·mL-1,respectively;TNF-α levels were(94.08±19.07),(312.47±58.61),(209.78±41.49),(296.42±55.99)and(187.45±37.28)pg·mL-1,respectively;SOD levels were(29.14±5.04),(13.25±2.63),(24.19±4.89),(17.28±3.16)and(33.94±5.87)U·mg prot-1,respectively;MDA levels were(2.26±0.51),(4.43±0.72),(3.17±0.58),(3.94±0.69)and(2.62±0.45)nmol·m gprot-1,respectively.The above indicators were compared between control group and model group,model group and experimental group,experimental group and miR-27a-3p inhibitor group,miR-27a-3p inhibitor group and si-TSLP group.The differences were statistically significant(all P＜0.05).Conclusion Xanthine can improve oxidative stress and reduce inflammation of AR complicated with asthma in rats,and its mechanism may be related to the regulation of miR-27 a-3p targeting TSLP.

Objective:To evaluate the clinical efficacy of Tianma Xionglin Zhixuan Tablets in treating hypertension patients with liver yang hyperactivity or comorbid phlegm-stasis syndrome and explore its therapeutic mechanisms through plasma metabolomics.Methods:Thirty-six hypertension patients(4 dropouts)diagnosed with liver yang hyperactivity or phlegm-stasis syndrome were enrolled as the treatment group from June 2022 to September 2023 at the First Affiliated Hospital of Hunan University of Chinese Medicine,while 30 healthy volunteers with balanced constitutions were recruited as the blank group.Plasma samples were collected from patients pre-and post-treatment and from healthy volunteers.Clinical outcomes,including syndrome scores,office blood pressure(BP),and 24-hour ambulatory BP,were recorded.Plasma metabolomic profiling was performed using liquid chromatography-mass spectrometry(LC-MS).Results:Compared with baseline,Tianma Xionglin Zhixuan Tablets significantly reduced traditional Chinese medicine syndrome scores(P＜0.01),office systolic/diastolic BP(P＜0.01),and 24-hour ambulatory BP parameters(24-hour mean BP,daytime/nighttime mean BP;all P＜0.01).Metabolomic analysis identified 45 differential metabolites between the blank group and pretreatment patients,and 64 metabolites altered post-treatment(VIP＞1,P＜0.05).Enrichment analysis of 16 overlapping endogenous metabolites revealed that Tianma Xionglin Zhixuan Tablets primarily modulated arachidonic acid metabolism and sphingolipid metabolism pathways.Conclusion:Tianma Xionglin Zhixuan Tablets demonstrates significant clinical efficacy in hypertension patients with liver yang hyperactivity or phlegm-stasis syndrome,potentially mediated through regulation of arachidonic acid and sphingolipid metabolism.

Objective:To investigate the optimal processing technology for Sophorae Fructus Carbonisata(char-coal-processed immature fruit of Sophora japonica)by integrating thermal analysis,response surface methodology(RSM),and intelligent sensory technology.Methods:The thermal analysis technology was used to simulate the processing process of traditional Chinese medicine(TCM),the pyrolysis characteristics of Sophorae Fructus powder were studied,and the processing process was discussed by intelligent sensory analysis to determine the temperature range.Using the contents of genistein,kaempferol,and quercetin as comprehensive evaluation indices,the RSM was applied to optimize the processing technology for Sophorae Fructus Carbonisata.Results:The optimal process-ing technology for Sophorae Fructus Carbonisata was identified as:Stir-frying temperature was 290 ℃,Stir-frying time was 14 min.Conclusion:The integrated approach of thermal analysis-RSM and intelligent sensory technology has successfully established an accurate predictive model for active components in Sophorae Fructus.The optimized processing technology not only enhances the reproducibility of charcoal processing but also lays a foundation for the formulation of national quality standards for this TCM.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.