ObjectiveTo investigate the protective effect of α-ketoglutarate （α-KG） on hepatic lipid deposition in offspring caused by arsenic exposure during pregnancy. Methods8-week-old institute of cancer research （ICR） mice were mated in a ratio of 2∶1 between females and males， and the detection of vaginal plugs confirmed pregnant. A total of 32 pregnant mice were randomly divided into four groups： control group， arsenic group， α-KG group， arsenic+α-KG group. On gestational day 0-16 （GD0-GD16）， the arsenic and arsenic+α-KG groups were exposed to sodium arsenite （NaAsO₂ ，15 mg/L） in drinking water everyday， and the α-KG and arsenic+α-KG groups were gavaged with α-KG （2 g/kg） everyday. On GD16， pregnant mice were euthanized to collect fetal liver， and fetal body weight and crown-rump length were measured. Gene expression differences between the control group and the arsenic group were analyzed by transcriptome. The total triglycerides （TGs） and subtypes in fetal liver were detected by liquid chromatography tandem mass spectrometry （LC-MS/MS）. Oil red O staining was used to observe the histopathological changes in the liver. Quantitative polymerase chain reaction （qPCR） was used to detect the expression level of genes related to lipid synthesis， transport， and degradation， and phosphatidylinositol 3' -kinase/ protein kinase B （PI3K/AKT） in the liver of fetus. ResultsTranscriptomics analysis showed that 2 144 genes were downregulated and 1 675 genes were upregulated in the arsenic exposed fetal liver； body weight and crown-rump length were reduced （P_TuKey<0.05）； the level of hepatic TGs was elevated in arsenic group （P_TuKey<0.05）； oil-red O staining showed a significant increase in lipid droplets in arsenic group （P_TuKey<0.01）； the expression of lipid synthesis-related genes were significantly upregulated （P_TuKey<0.05）； the expression of β-oxidation-related genes and lipid degradation-related genes were downregulated （P_TuKey<0.05）； the expression of PI3K， AKT decreased（P_TuKey<0.05）. Compared with the arsenic group， the body weight and crown-rump length of fetus increased in the arsenic+α-KG group （P_TuKey<0.05）； the level of hepatic TGs decreased in the arsenic+α-KG group （P_TuKey<0.05）； oil red O staining showed lipid droplets significantly decreased （P_TuKey<0.01）； the expression of lipid synthesis-related genes were downregulated （P_TuKey<0.05）， the expression of β-oxidation-related genes and lipid degradation-related genes were upregulated （P_TuKey<0.05）； the expression levels of PI3K and AKT increased （P_TuKey<0.05）. Conclusionα-KG alleviated hepatic lipid deposition in offspring exposed to arsenic during pregnancy through activating PI3K/AKT signaling pathway.

Objective: To explore the interaction between school bullying and insomnia in relation to depression-anxiety-stress emotions among primary and secondary school students,so as to provide a basis for preventing negative emotional states in adolescents. Methods: In October 2024, a stratified cluster sampling method was used to select 3 058 students in grade 5-6 of primary, junior and senior high school in Sheyang County of Jiangsu Province. The Delaware Bullying Victimization Scale, Insomnia Severity Index, Depression-Anxiety-Stress Scale-21, and Study Condition Questionnaire were employed to investigate school bullying, insomnia, depression-anxiety-stress emotions, and academic performance. The χ 2 test and Logistic regression were used to analyze the association between school bullying and insomnia interactions and depression-anxiety-stress emotions among primary and secondary school students, multiplicative interaction analysis was conducted, and additive interaction analysis was performed using R software. Results: The detection rates of depression-anxiety-stress emotions among primary and secondary school students were 21.6%, 28.4% and 10.8%, respectively. The detection rates of physical bullying, relationship bullying, verbal bullying and cyberbullying in school bullying were 10.6%, 14.0%, 22.3%, and 6.2%, respectively. The detection rate for insomnia was 23.1%. Results from Logistic regression analysis showed that, after adjusting for relevant factors, physical, relational, verbal, and cyberbullying and insomnia were positively correlated with the detection rates of depression ( OR = 5.72- 10.93), anxiety ( OR =6.35-12.17), and stress emotions ( OR =5.97-14.52) among primary and secondary school students (all P <0.01). The multiplicative interaction between physical, relational, verbal, and cyberbullying and insomnia was positively correlated with the detection rates of depression ( OR =8.00-18.01), anxiety ( OR =11.35-17.76), and stress emotions ( OR =7.64-9.12) in primary and secondary school students (all P <0.01). Additive interactions were observed between physical, relational, verbal, and cyberbullying and insomnia in relation to the detection rates of depression, anxiety, and stress emotions among primary and secondary school students (both RERI and AP >0 and the credible interval excluded 0, SI >1 and the credible interval excluded 1). Conclusion School bullying and insomnia are associated with depression, anxiety, and stress emotions among primary and secondary school students, and they exhibit both multiplicative and additive interactions.

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 analyze the epidemiological characteristics of hepatitis E (HE) in Huai'an City from 2015 to 2024, and construct and validate the prediction effect of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, and to provide a scientific basis for HE prevention and control. Methods Data of reported HE cases in Huai'an City from January 2015 to December 2024 were extracted from the National Disease Control and Prevention Information System. Descriptive epidemiological methods were used to analyze the temporal, regional and population distribution characteristics of HE incidence. After data preprocessing, stationarity test and randomness test, the SARIMA model was constructed. The optimal model was selected by minimizing the Akaike Information Criterion (AIC). The model performance was evaluated by adjusted R-squared (Adj R²) and root mean square error (RMSE). The monthly incidence rate of HE in Huai'an City in 2025 was predicted and compared with the actual incidence data to validate the model. Results A total of 1 713 HE cases were reported in Huai'an City from 2015 to 2024, showing a fluctuating upward trend. Huaiyin District (339 cases) and Lianshui County (334 cases) were high-incidence areas. The cases were mainly concentrated in people aged 45 and above (83.3%), males (gender ratio 2.37:1) and farmers (70.8%). The optimal model was SARIMA (1,1,1)×(2,0,1)₁₂, with residual as white noise sequence. There was no statistical difference between the actual incidence and predicted value from January to August 2025 (P>0.05). Conclusion HE incidence in Huai'an has obvious aggregation and temporal fluctuation characteristics. The SARIMA model has a good prediction effect, which can provide reference for formulating targeted prevention and control strategies.

Traditional Chinese medicine contains a variety of volatile components （VOCs） such as terpenes and aliphatics, which have significant pharmacological activities, and are commonly analyzed by gas chromatography （GC） and gas chromatography-mass spectrometry （GC-MS）. Although the separation ability is strong, the samples need to be pre-treated and the analysis time is long. In recent years, the combination of GC and ion migration spectrometry （IMS） has been widely used in the academic community. The combination of high separation ability of GC and rapid reaction ability of IMS has the advantages of no sample pretreatment, fast analysis time, low detection limit and simple operation. It is increasingly used in traditional Chinese medicine research. The working principle of GC-IMS was introduced, the application in VOCs research of traditional Chinese medicine was summarized, and the future development direction was prospected in this paper.

ObjectiveTo explore the mechanism by which modified Guishenwan alleviates inflammation in the rat model of polycystic ovary syndrome （PCOS） by regulating the mitogen-activated protein kinase （MAPK）/nuclear factor kappa B （NF-κB） pathway. MethodsAccording to the random number table method， 60 SPF female SD rats were randomized into a normal group （n=10） and a modeling group （n=50）. The normal group received routine feeding， while the modeling group was administrated with letrozole （1 mg·kg^-1·d^-1） by gavage for 21 days for the modeling of PCOS. The successfully modeled rats were randomized into model， diane-35 （0.2 g·kg^-1·d^-1）， high- （16.04 g·kg^-1·d^-1）， medium- （8.02 g·kg^-1·d^-1）， low- （4.01 g·kg^-1·d^-1） dose modified Guishenwan groups. The drug intervention groups were administrated with modified Guishenwan at corresponding doses by gavage， and the normal group and model group were given equal volumes of normal saline. All the groups were continuously treated for 28 days. After treatment， Gram staining of vaginal smears was employed to observe the estrous cycle in each group. Enzyme-linked immunosorbent assay was employed to determine the levels of follicle-stimulating hormone （FSH）， estradiol （E₂）， luteinizing hormone （LH）， testosterone （T）， and progesterone （PROG） in the plasma， as well as interleukin-1 beta （IL-1β）， tumor necrosis factor-alpha （TNF-α）， and interleukin-10 （IL-10） in the plasma and ovarian tissue. The LH/FSH ratio was calculated. The morphological changes in the ovarian tissue were observed by hematoxylin-eosin （HE） staining. Western blot was employed to determine the protein levels of extracellular-regulated protein kinase （ERK）， c-Jun N-terminal kinase （JNK）， p38 MAPK， NF-κB p65， IκBα， p-JNK， p-ERK， p-p38 MAPK， p-NF-κB p65， and p-IκBα in the ovarian tissue. Real-time quantitative polymerase chain reaction was used to determine the mRNA levels of ERK， JNK， p38 MAPK， NF-κB p65， and IκBα in the ovarian tissue. ResultsCompared with the normal group， the model group was in the estrus phase， with an increase in the number of ovarian vesicles and decreases in granulosa cells and corpus luteum formation （P<0.05）， and lowered levels of FSH and E₂ and elevated levels of LH， T， and LH/FSH in the plasma （P<0.05）. Compared with the model group， high-， medium-， and low-dose modified Guishenwan recovered the estrous cycle， increased the generation of granulosa cells and corpus luteum， reduced the number of vesicles， elevated the levels of FSH and E₂， and lowered the levels LH， T， and LH/FSH （P<0.05， P<0.01） in a dose-dependent manner. High-dose modified Guishenwan demonstrated the best therapeutic effect. Therefore， subsequent experiments for exploring the treatment mechanism were conducted in the normal group， model group， and high-dose modified Guishenwan group. The results showed that compared with the model group， high-dose modified Guishenwan lowered the levels of IL-1β， TNF-α， and IL-10 and elevated the level of IL-10 in the plasma and ovarian tissue （P<0.05， P<0.01）， down-regulated the protein levels of p-ERK， p-JNK， p-p38 MAPK， p-NF-κB p65， and p-IκBα， while up-regulating the protein level of IκBα （P<0.01）. At the same time， the mRNA levels of ERK， JNK， p38 MAPK， and NF-κB p65 in the high-dose modified Guishenwan group were down-regulated （P<0.05， P<0.01）. ConclusionModified Guishenwan can improve the ovarian function in rat model of PCOS induced by letrozole and has anti-inflammatory effects， which may be related to inhibition of the MAPK/NF-κB pathway.

Objective To optimize the process conditions and analyze the components of alkaloids from Zanthoxylum bungeanum Maxim（Z. bungeanum）using macroporous resin. Methods Combining single factor tests and orthogonal tests, the content of hydroxy-α-sanshool（HAS）and hydroxy-β-sanshool（HBS）were considered as indexes to determine the best process parameters. Ultra-performance liquid chromatography-quadrupole tandem time-of-flight mass spectrometry（UPLC-Q-TOF-MS^E）was used to identify the structures of alkaloids. Results The optimal conditions were Mitsubishi HP-20 macroporous resin, the loading solution concentration was 0.2 g crude drug/ml, the ratio of crude drug to resin volume was 1 g∶2.5 ml, the diameter/height ratio of resin column was 1∶7, the dynamic adsorption flow rate was 4 times of bed volume（BV）per hour, and the adsorption time was 1 h. Impurities were removed by using 2 BV of 20% ethanol, 5 BV of 80% ethanol was used to elution, and the content of HAS and HBS was 4.71% and 1.02%, respectively. A total of 20 alkaloids were identified from Z. bungeanum. Conclusion This method was stable and feasible, obtaining high purity and various kinds of alkaloids, which could be used for the enrichment and purification of alkaloids from Z. bungeanum.

Objective To analyze the current status and hotspots of domestic research on traditional Chinese medicine(TCM)in treating chronic refractory wounds(CRW)over the past 10 years using bibliometric and visualized analysis methods.Methods Articles about TCM therapy for CRW issued by the core periodicals in recent 10 years were retrieved from CNKI,Wanfang and VIP databases.The parameters of annual issued papers,authors,institutions and keywords of the articles were counted with the bibliometric methods.And then the statistical results were presented as visualized graphs by using VOSviewer and CiteSpace software.Results A total of 404 articles were included in the study,and 313 institutions and 1 340 scholars participated in the research on the treatment of CRW with TCM.However,there was limited collaboration between the authors and institutions.Research hotspots mainly focused on the efficacy of TCM external therapies for diabetic foot and pressure ulcers,and discussions on syndrome differentiation,treatment principles and methods about internal treatment by various medical experts.The development and application of Chinese patent medicines,exploration of TCM medication patterns,and the evidence-based medical research on TCM are future research trends in the treatment of CRW with TCM.Conclusion Research on TCM treatment of CRW has attracted significant attention in recent years,but academic barriers exist between the authors and institutions.In the future,it is necessary to promote multicenter research collaboration,strengthen the exploration of experiences in acupoint selection,and conduct higher-level research,thus to provide more compelling evidence and enhance the efficacy of TCM in treating CRW.

BACKGROUND:Mitochond rial biogenesis in skeletal muscle and its regulatory mechanisms during exercise have become focal points of research.Pathways such as AMP-activated protein kinase,peroxisome proliferator-activated receptory coactivator 1α,mitogen-activated protein kinase,calcium-regulated signaling play profound roles in exercise-induced mitochondrial biogenesis,impacting muscle metabolic optimization,enhanced athletic performance,and the prevention of metabolic diseases.However,the interactions among these pathways,their regulatory mechanisms,and their comprehensive effects on exercise-induced mitochondrial biogenesis in skeletal muscle remain unclear.OBJECTIVE:To explore the signaling pathways related to mitochondrial biogenesis in skeletal muscle,precisely analyze the induction and regulatory details of exercise within these pathways,and clearly elucidate the principles by which exercise-activated signaling pathways promote mitochondrial generation and functional enhancement.This will establish a theoretical foundation for improving muscle metabolism,enhancing exercise efficiency,and preventing metabolic diseases.METHODS:An extensive literature search was conducted using China National Knowledge Infrastructure(CNKI),WanFang,VIP,PubMed,and Web of Science.The latest publications related to mitochondrial biogenesis in skeletal muscle and its regulatory mechanisms were collected from inception to August 2024.By integrating findings from multiple signaling pathways,the regulatory mechanisms of exercise on mitochondrial biogenesis were systematically reviewed,with a focus on the interactions and synergistic mechanisms of AMP-activated protein kinase,peroxisome proliferator-activated receptor y coactivator 1α,protein kinase A,mitogen-activated protein kinase,calcium-regulated signaling pathways.RESULTS AND CONCLUSION:(1)Mitochondrial biogenesis in skeletal muscle is a complex biological process involving the coordinated regulation of multiple signaling pathways.This process aims to optimize the metabolic capacity,fatigue resistance,and overall athletic performance of skeletal muscle in response to changes in energy demand and external stress.The core mechanisms include the interactions and regulation of key factors such as AMP-activated protein kinase,peroxisome proliferator-activated receptor gamma coactivator 1α,and mitogen-activated protein kinase.(2)AMP-activated protein kinase senses the cellular energy status and activates peroxisome proliferator-activated receptor gamma coactivator 1α,thereby promoting mitochondrial biogenesis.Peroxisome proliferator-activated receptor gamma coactivator 1α,as the main regulator of mitochondrial biogenesis in skeletal muscle,can modulate the synthesis of mitochondrial proteins and DNA,enhance the antioxidant stress response,and improve mitochondrial function.(3)The mitogen-activated protein kinase signaling pathway,particularly p38 mitogen-activated protein kinase,further promotes mitochondrial generation by activating peroxisome proliferator-activated receptor gamma coactivator 1α during stress responses.(4)Additionally,calcium signaling and protein kinase A pathways play significant roles in the metabolic regulation of skeletal muscle.(5)Exercise can significantly enhance mitochondrial biogenesis capacity in skeletal muscle by activating these multiple signaling pathways,optimizing cellular metabolic efficiency,increasing muscle endurance,and improving athletic performance.(6)Future research should focus on in-depth exploration of the interaction mechanisms among AMP-activated protein kinase,peroxisome proliferator-activated receptor gamma coactivator1α,mitogen-activated protein kinases,and calcium signaling under different exercise intensities and modalities;strengthen studies across diverse age groups,genders,and health conditions;validate the universality and population-specificity of research findings;investigate the intricate mechanisms of emerging regulatory factors such as FNIP1 and PERM1 and their potential in exercise interventions;and promote the translation of exercise health research outcomes into clinical applications.

Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To improve the classification accuracy of AMD subtypes, this study proposes a keypoint-based, attention-enhanced residual network (KPA-ResNet). The proposed architecture adopts a 50-layer residual network (ResNet-50) as the backbone, preceded by a keypoint localization module based on heatmap regression to outline critical lesion regions. A two-dimensional relative self-attention mechanism is incorporated into convolutional layers to enhance the representation of key lesion areas. Furthermore, the network depth is appropriately increased and an improved residual module, ConvNeXt, is introduced to enable comprehensive extraction of high-dimensional features and enrich the detail of lesion boundary contours, ultimately achieving higher classification accuracy of AMD subtypes. Experimental results demonstrate that KPA-ResNet achieves significant improvements in overall classification accuracy compared with conventional convolutional neural networks. Specifically, for the wet AMD subtypes, the classification accuracies for inactive choroidal neovascularization (CNV) and active CNV reach 92.8% and 95.2%, respectively, representing substantial improvement over ResNet-50. These findings validate the superior performance of KPA-ResNet in AMD subtype classification tasks. This work provides a high-accuracy, generalizable network architecture for OCT-based AMD subtype classification and offers new insights into integrating attention mechanisms with convolutional neural networks in ophthalmic image analysis.
Tomography, Optical Coherence/methods* ; Humans ; Macular Degeneration/diagnostic imaging* ; Neural Networks, Computer