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.

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 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.

Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

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.

ObjectiveTo investigate the change of interleukin （IL）-18 and Th1， Th2 of CD3⁺CD8^- T helper lymphocytes in pediatric liver transplantation with cytomegalovirus （CMV） infection. MethodsA total of 40 pediatric patients who underwent pediatric liver transplantation were collected. Patients were divided into the CMV group （n=20） and the non-infected group （n=20） according to whether CMV infection occurred. The plasma IL-18 levels were determined by enzyme-linked immunosorbent assay （ELISA）. The expression percentage of IFN-γ and IL-10 of CD3⁺CD8^- T lymphocytes （Th1 and Th2） in peripheral blood were determined with flow cytometry. ResultsThe expression level of plasma IL-18 significantly increased in the CMV group compared with that in non-infected group （P<0.01）. The expression percentage of Th1 in peripheral blood significantly decreased in the CMV group compared with that in non-infected group （P<0.01）. No significant difference was found in the expression percentage of Th2 between CMV group and non-infected group. IL-18 levels were negatively correlated with the Th1 （P<0.05）. ConclusionThe elevated IL-18 levels along with polarized Th 1 subsets’ imbalance involves in the pathogenesis of CMV infection in pediatric liver transplantation.

Sepsis is a systemic inflammatory response syndrome caused by the invasion of pathogenic microorganisms such as bacteria. In addition to the manifestations of systemic inflammatory response syndrome and primary infection lesions， critical cases often have manifestations of organ hypoperfusion. The morbidity and mortality of sepsis have remained high in recent years， which seriously affect the quality of life of the patients. The pathogenesis of sepsis is complicated， in which uncontrollable inflammation is a key mechanism. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway plays a key role in mediating inflammation in sepsis. The available therapies of sepsis mainly include resuscitation， anti-infection， vasoactive drugs， intensive insulin therapy， and organ support， which show limited effects of reducing the mortality. Therefore， finding new therapeutic drugs is a key problem to be solved in the clinical treatment of sepsis. In recent years， studies have shown that traditional Chinese medicine （TCM） can regulate the PI3K/Akt pathway via multiple pathways， multiple effects， and multiple targets to inhibit inflammation and curb the occurrence and development of sepsis， which has gradually become a hot spot in the prevention and treatment of sepsis. Moreover， studies have suggested that TCM has unique advantages in the treatment of sepsis. TCM can regulate the PI3K/Akt signaling pathway to inhibit inflammation， reduce oxidative stress， and control apoptosis in the prevention and treatment of sepsis. Despite the research progress， a systematic review remains to be performed regarding the TCM treatment of sepsis by regulating the PI3K/Akt signaling pathway. After reviewing relevant papers published in recent years， this study systematically summarizes the relationship between PI3K/Akt pathway and sepsis and the role of TCM in the treatment of sepsis， aiming to provide new ideas for the potential treatment of sepsis and the development of new drugs.

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.

ObjectiveBased on the conjoint analysis of transcriptome and metabolome， the key genes in the phenylpropanoid biosynthesis pathway of Lonicera macranthoides were explored， which provided a basis for further exploring the synthesis and regulation mechanism of phenylpropanoid compounds in "Xianglei" L. macranthoides. MethodsThe stem， leaves， and three flowering flowers of "Xianglei" L. macranthoides were selected as experimental materials to construct transcriptome and metabolome. The transcriptome and metabolomics were conjointly analyzed by the Kyoto Encyclopedia of Genes and Genomes （KEGG） database and weighted correlation network analysis （WGCNA）， and the key genes in the phenylpropanoid biosynthesis pathway of L. macranthoides were explored. ResultsIn this study， 77 differential phenylpropanoids and 315 differential genes were found. Through the joint analysis of transcription and metabolism， nine key differential metabolites and four key genes related to them were finally discovered. Among them， cinnamic acid， 5-O-caffeoylshikimic acid，sinapyl alcohol， and chlorogenic acid were higher in flowers， and the content of the iconic effective component， namely chlorogenic acid，decreased sharply during the withering period. Caffeic acid，ferulic acid， 5-hydroxyconiferaldehyde，p-coumaryl alcohol， and syringin were higher in leaves. These four key genes belong to the cinnamic alcohol dehydrogenase （CAD） family， 4-coumaric acid： Coenzyme A （4CL） family， hydroxycinnamyl transferase （HCT） family， and L-phenylalanine ammonlyase （PAL） family genes. ConclusionAmong the four key genes excavated from L. macranthoides， TRINITY_DN42767_c0_g6 is related to the synthesis of p-coumaryl alcohol and sinapyl alcohol. TRINITY_DN43525_c4_g1 uses caffeic acid，ferulic acid，and cinnamic acid as substrates to catalyze the next reaction. TRINITY_DN47958_c3_g4 correlates with the synthesis of 3-p-coumaroyl quinic acid and caffeoyl-CoA， and TRINITY_DN52595_c1_g2 correlates with cinnamic acid synthesis. These findings provide a basis for further exploring the synthesis and regulation mechanism of phenylpropanoids in "Xianglei" L. macranthoides.