ObjectiveTo explore the relationship between negative life events and depression severity in adolescent patients with depressive disorder， as well as the chain mediating role of insomnia symptoms and quality of life. Methods374 outpatient patients and hospitalized patients with adolescent depressive disorders were enrolled. The Adolescent Life Event Scale （ASLEC）， the Insomnia Severity Index （ISI）， the World Health Organization Quality of Life Questionnaire Short Form （WHOQOL-BREF）， and the Center for Epidemiology Depression Scale （CES-D） were used to evaluate the negative life event situation， insomnia symptoms， quality of life level and depression severity of the subjects， respectively. In addition， the PROCESS 4.0 macroprogram was used to analyze the chain mediating effect of insomnia symptoms and quality of life between negative life events and depression severity in patients with adolescent depressive disorder. ResultsThe results of correlation analysis showed that there was a significant correlation between negative life events and insomnia symptoms， quality of life， and depression severity （all P<0.05）. In addition， the results of chain mediation showed that negative life events had a significant direct effect on depression severity， with an effect size of 0.12 （P<0.001）. Insomnia symptoms and quality of life played a mediating role in the relationship between negative life events and depression severity in patients with adolescent depressive disorders， with indirect effect sizes of 0.062 （95%CI： 0.040-0.087） and 0.091 （95%CI： 0.059-0.123）， respectively. It could also play a chain mediation role， and the effect size was 0.039 （95%CI： 0.024-0.057）. ConclusionNegative life events experienced by patients with adolescent depressive disorder not only directly affect the severity of depressive symptoms， but may also indirectly exacerbate depression through insomnia symptoms and quality of life.

Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

ObjectiveThis paper aims to investigate the mechanism by which Erchentang improves body weight in obese mice by regulating the AMP‑activated protein kinase （AMPK）/peroxisome proliferator‑activated receptor γ coactivator‑1α （PGC‑1α） signaling pathway and inducing browning of inguinal white adipose tissue （iWAT）. MethodsObese mouse models were established by feeding a high‑fat diet. After successful modeling， mice were randomly divided into a model group and low‑， medium‑， and high‑dose Erchentang groups （7.5， 15， 30 g·kg^-1）， with six mice in each group. Another six normal mice were set as the normal group. Mice in the treatment groups were administered with corresponding doses of the drug by gavage， while those in the normal and model groups were administered with an equal volume of pure water by gavage for four consecutive weeks. Obesity was evaluated by body weight and Lee's index. The levels of low‑density lipoprotein cholesterol （LDL‑C） and high‑density lipoprotein cholesterol （HDL‑C） in serum were detected by biochemical assays. The leptin content in serum was measured by enzyme‑linked immunosorbent assay （ELISA）. Hematoxylin and eosin （HE） staining was used to observe the pathological morphology of the liver and iWAT. Immunofluorescence staining was applied to detect the protein expression levels of glucose transporter 4 （GLUT4） in the liver and iWAT. Molecular docking was performed to simulate the binding affinity between the key components of Erchentang （nobiletin， diosmetin， naringenin） and the key pathway proteins AMPK and PGC‑1α. Western blot was used to detect the protein expression levels of uncoupling protein‑1 （UCP‑1）， AMPK， phosphorylated AMP-activated protein kinase （p‑AMPK）， and PGC‑1α in iWAT. ResultsCompared with those in the normal group， the mice in the model group showed significantly increased body weight and Lee's index， elevated levels of HDL‑C， LDL‑C， and leptin in serum， enlarged adipocytes in iWAT， down‑regulated protein expression levels of GLUT4 in iWAT and liver， and decreased protein expression levels of UCP‑1 and PGC‑1α in iWAT（P<0.05， P<0.01）， the expression level of p-AMPK / AMPK protein was up-regulated， but the difference was not statistically significant. Compared with those in the model group， the mice in the Erchentang groups with different doses exhibited significantly reduced body weight and Lee's index， decreased levels of HDL‑C， LDL‑C， and leptin in serum， smaller adipocytes in iWAT， up‑regulated GLUT4 protein expression levels in iWAT and liver， and increased protein expression levels of UCP‑1， p‑AMPK/AMPK， and PGC‑1α in iWAT （P<0.05， P<0.01）. Molecular docking results show that nobiletin， diosmetin， and naringenin have strong binding energies with both AMPK and PGC‑1α. ConclusionErchentang may improve body weight in obese mice by regulating the AMPK/PGC‑1α signaling pathway and inducing iWAT browning.

ObjectiveTo investigate the effects of Erchentang （ECD） on the body weight of the mouse model of simple obesity induced by a high-fat diet （HFD） and decipher the underlying mechanisms. MethodsFirstly， single-cell transcriptomics （Sc-RNAseq） was employed to analyze the transcriptional changes in the ileum tissue of mice in the normal group and model group. Then， a mouse model of simple obesity was established with a high-fat diet. The successfully modeled mice were randomly allocated into the following four groups （n=8）： model， low-dose （7.5 g·kg^-1） ECD， medium-dose （15 g·kg^-1） ECD， and high-dose （30 g·kg^-1） ECD. Additionally， 8 mice of the same age were selected as the normal group. The body weight was measured at fixed time points during the 4-week gavage period. The overall efficacy of ECD in alleviating obesity was evaluated through glucose tolerance testing， behavioral analysis， hematoxylin-eosin （HE） staining， and biochemical testing. Protein docking was employed to predict the degree of binding between corresponding proteins. Molecular docking was employed to predict the binding degree between key components of ECD and target proteins. Real-time PCR was employed to determine the mRNA levels of tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， interleukin-1β （IL-1β）， CD68， CD206， zonula occludens-1 （ZO-1）， and Claudin-5 in the ileum. Immunofluorescence staining was used to observe the expression and distribution of Claudin-5 and ZO-1. ResultsThe Sc-RNAseq results indicated that the differentially expressed genes of immune cells in the model group in comparison with the normal group were primarily enriched in biological functions related to lipid metabolism and inflammatory metabolism. Additionally， these genes were associated with the janus kinases（JAK）/signal transducers and activators of transcription （STAT） signaling pathway， an inflammation-related pathway. Compared with the normal group， the model group showed increases in body weight （P<0.01） and blood glucose level （P<0.01）， a decrease in limb strength （P<0.01）， an increase in liver weight （P<0.05）， and elevated serum alanine amino-transferase （ALT） and aspartate transferase （AST） levels （P<0.05， P<0.01）. Additionally， the model group exhibited increased hepatic fat vacuoles， notably enlarged adipocytes in the epididymal and inguinal white adipose tissue， and increased inflammation. Compared with the model group， ECD groups showed reduced body weights （P<0.01） and blood glucose levels （P<0.01）， increased limb strength （P<0.05， P<0.01）， decreased liver weights （P<0.05， P<0.01）， and declined serum ALT and AST levels （P<0.05， P<0.01）. Additionally， ECD reduced hepatic fat vacuoles and the adipocyte volume in the epididymal and inguinal white adipose tissue， and alleviated inflammation. Potential interactions existed between CD68 and ZO-1/Claudin-5， as well as between CD206 and ZO-1/Claudin-5. The key components of ECD， nobiletin， diosmetin， and naringenin， all demonstrated strong binding affinity with the target proteins ZO-1 and Claudin-5. Compared with the normal group， the model group exhibited up-regulated mRNA levels of the pro-inflammatory cytokines TNF-α， iNOS， IL-1β， and CD68 （P<0.05， P<0.01） and down-regulated mRNA levels of the anti-inflammatory cytokine CD206 （P<0.01） and the tight junction proteins Claudin-5 and ZO-1 （P<0.05， P<0.01）. In comparison with the model group， the ECD groups showed down-regulated mRNA levels of TNF-α， iNOS， IL-1β， and CD68 （P<0.05， P<0.01） and up-regulated mRNA levels of CD206， Claudin-5， and ZO-1 （P<0.05， P<0.01）. Compared with the normal group， the model group exhibited down-regulated expression of tight junction proteins Claudin-5 and ZO-1 （P<0.01）. Compared with the model group， ECD groups showed up-regulated expression of Claudin-5 and ZO-1 （P<0.05， P<0.01）. ConclusionECD can significantly ameliorate HFD-induced obesity and excessive body weight gain in mice by improving the inflammatory microenvironment in the ileum and further restoring the integrity of the impaired ileal barrier.

BACKGROUND:Various proteins,signaling pathways,and inflammatory mediators are involved in the pathophysiological process of osteoarthritis.The development of small molecule drugs targeting these proteins,signaling pathways,and inflammatory mediators can effectively delay the progression of osteoarthritis and ameliorate its clinical manifestations. OBJECTIVE:To review the research progress of small molecule drugs in the treatment of osteoarthritis based on the pathogenesis of osteoarthritis. METHODS:PubMed,CNKI,and WanFang databases were searched with English search terms"osteoarthritis,arthritis,osteoarthrosis,degenerative,arthritides,deformans,small molecule drugs,small molecule inhibitors,small molecule agents"and Chinese search terms"osteoarthritis,small molecule drugs,small molecule inhibitors."A total of 68 articles were included for review according to the inclusion and exclusion criteria. RESULTS AND CONCLUSION:(1)Currently,studies concerning the pathogenesis of osteoarthritis remain unclear.The occurrence and development of osteoarthritis are strongly associated with proteins,cytokines,and signal transduction pathways,so its therapeutic mechanism is relatively complex.Currently,targeting proteins,cytokines,and signal transduction pathways related to osteoarthritis with small molecule drugs has become a major research focus.(2)Small molecule drugs frequently possess visible intracellular or extracellular targets and efficacy,containing enhancing cartilage repair,resisting joint degradation,attenuating inflammation,and relieving pain.Other anti-osteoarthritis small molecule drugs have shown promise in promoting stem cell chondrogenic differentiation and cartilage matrix reconstruction.(3)At present,small molecule drugs targeting the pathophysiological process of osteoarthritis to delay the progression of osteoarthritis are still in the experimental stage,but most of these small molecule drugs have shown the expected results in the experimental process,and there are no relevant studies to illustrate the efficacy of small molecule drugs in the treatment of osteoarthritis.(4)Small molecule drugs for the treatment of osteoarthritis have reached the expected experimental results in the basic experimental stage.Numerous studies have exhibited that small molecule drugs can target the suppression of specific proteins,cytokines,and signal transduction pathways that cause osteoarthritis,so as to treat osteoarthritis.Nevertheless,its safety and effectiveness still need to be identified by further basic and clinical studies.This process needs to be investigated and studied by more scholars.(5)At present,many scholars in and outside China have made contributions to the treatment of osteoarthritis.Compared with traditional treatment methods,small molecule drugs reveal better efficacy and safety in the basic experimental stage,and it is expected to become an emerging method for the treatment of osteoarthritis in the future to rid patients of pain.

Objective To establish a rat model of venous thrombosis in a plateau hypobaric hypoxic environment and to investigate the effect of this environment on venous thrombosis.Methods A total of 144 healthy male SD rats were assigned randomly to four groups(n=36 rats per group):a plains sham operation(A)group,plains operation(B)group,plateau altitude 6000 m+sham operation(C)group,and plateau altitude 6000 m+surgery(D)group.Rats in A and B groups were maintained in a plains normoxic environment,while rats in C and D groups C and D were subjected to a plateau environment.Rats in the surgical groups underwent quantitative constriction to incompletely obstruct the inferior vena cava blood flow.Each group was further divided into subgroups based on time:1,3,5,7,14,and 21 d(n=6 rats per group).Regular vascular ultrasound monitoring was conducted,and blood samples were taken for whole blood viscosity testing and the assessment of inflammatory indicators,including endothelin-1(ET-1),interleukin-6(IL-6)and tissue factor(TF).Coagulation function was evaluated through the activated partial thromboplastin time(APTT),prothrombin time(PT),thrombin time(TT),fibrinogen(FIB)and D-dimer.After the observation period,the experimental animals were sacrificed and the limbs were removed.Thrombus samples were stained with hematoxylin/eosin(HE),and the thrombus wet mass was measured.Results The thrombosis incidence was significantly higher in the plateau D group than in B group,accompanied by a marked increase in blood viscosity and hematocrit(P＜0.01).Additionally,levels of ET-1,IL-6,and TF were significantly elevated(P＜0.05),indicating a coagulation disorder.Conclusions A plateau hypoxic environment model can be successfully simulated by quantitative coarctation of the inferior vena cava,combined with a specialized environmental chamber.The findings of this study suggest that a plateau hypoxic environment promotes venous thrombosis.

Objective Under the guidance of Zhuang medicine theory,this study aims to investigate the medicinal and compatibility rules of authentic medicinal pearls.Method This article focuses on the fourth national survey of traditional Chinese medicine resources—general survey of marine traditional Chinese medicine resources in Guangxi,led by Professor Lin Jiang's team from Guangxi University of Traditional Chinese Medicine and Guangxi Famous Traditional Chinese Medicine.The survey collected original prescriptions containing pearls,as well as data recorded in Zhuang medicine monographs containing pearls.The study integrated the efficacy,indications,pharmacology,and clinical research of pearl Zhuang medicine.Under the guidance of Zhuang medicine prescription compatibility theory,Zhuang medicine disease classification,and Zhuang medicine classification theory,this study explores the compatibility rules based on the data and functions of Zhuang medicine pearl formula.Result Zhuang medicine pearls taste sweet and salty,with a cold nature;It has the effects of activating the Qiao wu(brain),regulating Long lu(blood circulatory system)and Huo lu(nervous system),clearing heat and toxins,calming the mind,calming palpitations,relieving cough,promoting muscle growth,nourishing yin fluids,and Clearing eye mistiness;Indications:Nian nao nuo(Insomnia),Hen feng(Infantile Convulsions),Long lei(Epilepsy),Fright Palpitations,A rou tian(Diabetes),Huo yan ma(Sore throat),Bei ding(Deep-Rooted Boil),Bei nong(Sores and Ulcers),Redness and visual obstruction due to corneal opacity,Re Nong(Otitis media),Kou chuang(Oral ulcers),Da ning(Swelling and pain of eye).Based on the analysis of data on the formula of Zhuang medicine pearls,it was found that the topical use of Zhuang medicine pearls is concentrated in diseases of the ENT(Ear,Nose,and Throat),Ophthalmology,and diseases of the skin and subcutaneous tissue.When combined with drugs such as regulating Long lu,clearing heat toxin,and eliminating dampness-toxin,it is used to treat diseases such as Redness and visual obstruction due to corneal opacity,Oral ulcers,and Skin ulcers;For internal use,it is often combined with medicines that regulating Long lu,replenishing qi and blood,eliminating dampness-toxin,and nourishing the heart-mind,used in hypertension and palpitations.When paired with the medicines of clearing heat toxin,replenishing qi and blood,regulating Qiaowu,it is used to treat insomnia and epilepsy.Based on the analysis of pearl function,it is used in combination with airway and detoxifying drugs to treat airway diseases;Combination therapy with regulating Long lu and Qiao wu(brain)medicine for the treatment of Long lu disease;Combination treatment of gynecological diseases with regulating Long lu and Huo lu medicine and Bu xu medicine;Combination therapy with heat-clearing,detoxifying,and swelling-reducing medicines or astringents,for the treatment of persistent non-healing sores and ulcers;Used in combination with antipyretic drugs and yin tonifying drugs to treat ophthalmic diseases.Conclusion Zhuang medicine pearl has a wide range of therapeutic effects,and its efficacy can be enhanced by compatibility with different Zhuang medicines.Future research can combine modern compatibility methods of traditional Chinese medicine to optimize the compatibility scheme of pearls,study the specialized disease and prescription of Zhuang medicine pearls,combine Zhuang medicine with Western medicine to form prescriptions,and combine the pharmacological effects of pearls to form prescriptions.In depth exploration of the pharmacological substance basis and mechanism of action of pearl prescriptions can be conducted to develop new Zhuang medicine preparations for pearls.

To assess the cross-contamination risk and genetic evolution ofStaphylococcus aureus(S.aureus)at various stages in a swine slaughterhouse,and to provide a reference for risk evalua-tion and control measures of S.aureus contamination during swine slaughtering,we conducted whole-genome sequencing on 31 isolates of S.aureus collected and preserved from the slaughter-house.Bioinformatics analyses were performed to investigate the genomic characteristics and genet-ic relationships of these isolates.Results revealed cross-contamination across different slaughter-house stages,predominantly with ST398-t1451 strains.Additionally,highly virulent ST9-t899 strains and ST398-t11 strains with numerous resistance genes were detected at various stages.The strains predominantly carried virulence genes such as hlgA,hlgB,and hlgC,with varying num-bers of resistance genes.Notably,two strains carried the optrA gene and three strains carried the cfr gene;the presence of the optrA gene is relatively rare among S.aureus.These genes confer re-sistance to novel synthetic antibiotics such as oxazolidinones and florfenicol and have the potential for horizontal gene transfer,increasing the risk of dissemination both within and beyond the slaughterhouse.Importantly,the study also detected a LA-MRSA-ST9 strain in water samples from the slaughterhouse,which could potentially infect humans.This strain exhibits zoonotic char-acteristics,highlighting the need for stricter protective measures for slaughterhouse workers to mitigate occupational exposure and infection risks.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.