Progress in biomimetic membrane systems has enabled the extensive application of cell membranes in constructing nano-drug delivery systems. These biological membranes endowed the delivery systems with advantages, including superior biocompatibility, precision targeting capabilities, and long circulation. Platelet membranes, owing to their distinctive biological properties, have emerged as exceptional natural materials for nano-drug delivery systems and have continuously promoted the development of the delivery systems in the field of disease treatment. This review comprehensively summarizes the biological characteristics and molecular basis of platelet-associated membranes, various coated systems and methods, and systematically summarizes the research progress of platelet-related membrane delivery systems in the treatment of tumors, inflammatory diseases, cardiovascular and cerebrovascular diseases, and thrombotic diseases. It also analyzes the application challenges in the biomedical field and looks forward to the future development direction.

ObjectiveThe malaria parasites remodel the host erythrocyte structure by exporting parasite proteins that interact with the membrane skeleton proteins of red blood cells (RBCs), facilitating their intracellular survival and pathogenicity. Skeleton-binding protein 1 (SBP1) is a conserved exported protein across Plasmodium species. In Plasmodium falciparum, SBP1 has been reported to interact with erythrocyte membrane skeleton proteins 4.1R and spectrin, while its contribution to erythrocyte remodeling and parasite virulence in Plasmodium berghei (Pb) remains unclear. This study aims to determine whether PbSBP1 associates with the host cytoskeletal protein 4.1R and to investigate its role in the remodeling of host RBCs and the pathogenicity of Plasmodium berghei. MethodsIn Plasmodium berghei, the relationship between PbSBP1 and the erythrocyte cytoskeletal protein 4.1R was examined using co-immunoprecipitation. A Pbsbp1 gene knockout mutant of Plasmodium berghei (Pbsbp1∆) was generated based on the principle of double crossover homologous recombination. The deformability of erythrocytes infected with Pbsbp1∆ parasites was assessed using microfluidic methods. Microchannels with an array of cylindrical pillars were used to detect modifications in infected RBC deformability. The infected RBCs were squashed between the rows and recovered between the columns and the transit velocity (μm/s) of infected RBCs travelling through the microchannel was recorded. The component of the erythrocyte membrane skeleton junctional complex, tropomodulin (TMOD), was fluorescently labeled, and the cytoskeletal network of infected erythrocytes was imaged using super-resolution stochastic optical reconstruction microscopy (STORM) to analyze ultrastructural changes in the cytoskeleton of wild-type (WT) and Pbsbp1∆-infected erythrocytes. Actin-based junctional complexes were displayed as individual clusters by the labeled TMOD in the STORM images, and the cluster densities and distances between adjacent clusters of infected RBCs were calculated. Additionally, rodent malaria models (BALB/c mice) and experimental cerebral malaria models (C57BL/6 mice) were employed to monitor the growth of Pbsbp1∆ and WT parasites during the intraerythrocytic stage and their capacity to induce cerebral malaria in mice. ResultsPbSBP1 may participate in the remodeling of infected erythrocytes through direct or indirect interaction with the erythrocyte cytoskeletal protein 4.1R. Microfluidic assays revealed that the deformability of erythrocytes infected with Pbsbp1∆ parasites was significantly enhanced compared to those infected with WT parasites. STORM imaging further demonstrated that the ultrastructure of the erythrocyte cytoskeleton in Pbsbp1∆-infected cells was altered relative to that in WT-infected erythrocytes. The distances between nearest neighbors of clusters had a tendency to increase while the cluster densities were decreased in Pbsbp1∆-infected RBCs compared to WT-infected RBCs. Subsequent phenotypic analysis indicated that the growth rate of Pbsbp1∆ parasites during the intraerythrocytic stage was significantly slower than that of WT parasites, and their ability to induce cerebral malaria in mice was also attenuated. These findings suggest that PbSBP1 is involved in the remodeling of the erythrocyte membrane skeleton, likely through its direct or indirect interaction with protein 4.1R, thereby regulating the deformability of infected erythrocytes and influencing the pathogenicity of the blood-stage parasites. ConclusionThis study establishes a role for PbSBP1 in host erythrocyte remodeling and parasite virulence, providing new research strategies for the prevention and treatment of malaria.

ObjectivePost-ischemic acute inflammation and the subsequent persistent dysregulation of the immune microenvironment represent major pathological drivers that aggravate neuronal injury and severely restrict functional recovery following ischemic stroke. Although current reperfusion therapies partially restore blood flow, they fail to effectively modulate the secondary inflammatory cascade and oxidative stress, which remain critical barriers to neurological restoration. To address this challenge, this study aimed to engineer and systematically evaluate a biomimetic nanosystem composed of transforming growth factor-β1 (TGF-β1)-loaded platelet membrane-camouflaged lipid nanoparticles (PLP). This nanosystem was designed to achieve dual lesion-targeted delivery and immune microenvironment remodeling. By verifying its spatiotemporal accumulation, anti-inflammatory activity, and neuroprotective efficacy, we sought to establish an integrated therapeutic strategy that simultaneously enables lesion targeting, immune regulation, and functional recovery after ischemic injury. MethodsThe physicochemical properties of PLP, including hydrodynamic particle size, zeta potential, structural stability, and morphology, were characterized using dynamic light scattering, zeta potential analysis, and transmission electron microscopy. The preservation of platelet membrane-derived adhesion and immunoregulatory proteins was confirmed by SDS-PAGE through comparative analysis of protein band profiles between PLP and native platelet membranes. The in vitro biological activities of PLP were evaluated using two complementary cellular models. LPS-induced M1-polarized RAW264.7 macrophages were employed to assess inflammatory modulation, while oxygen glucose deprivation/reperfusion (OGD/R)-induced BV2 microglial cells and SH-SY5Y neuronal cells were utilized to investigate neuroinflammatory regulation and neuronal protection. For in vivo validation, a transient middle cerebral artery occlusion (tMCAO) mouse model was established to mimic ischemia-reperfusion injury. The spatiotemporal biodistribution and lesion-targeting capability of the PLP were monitored through live fluorescence imaging. Therapeutic efficacy was comprehensively evaluated by triphenyltetrazolium chloride (TTC) staining, glial fibrillary acidic protein (GFAP) immunofluorescence analysis, body weight monitoring, and neurological severity score (NSS) assessment. ResultsPLP nanoparticles displayed a uniform spherical morphology, nanoscale particle size distribution, and stable negative surface charge, indicating favorable colloidal stability and circulation potential. SDS-PAGE results confirmed the effective retention of key platelet membrane proteins associated with endothelial adhesion, immune evasion, and inflammatory regulation, demonstrating the successful biomimetic construction. Optimal therapeutic concentrations were determined in OGD/R-induced BV2 cells, where PLP exhibited excellent cytocompatibility and anti-inflammatory activity.In vitro experiments demonstrated that PLP significantly inhibited the polarization of RAW264.7 macrophages toward the pro-inflammatory M1 phenotype and markedly reduced neuronal apoptosis under ischemia-reperfusion conditions. In vivo fluorescence imaging revealed that PLP rapidly accumulated in the ischemic brain hemisphere and maintained prolonged retention for up to 7 d, suggesting enhanced lesion-specific targeting and sustained drug release. Compared with control group, PLP treatment significantly reduced cerebral infarct volume, attenuated reactive astrogliosis, improved weight recovery, and accelerated neurological functional restoration, as reflected by significantly improved NSS scores. ConclusionThis study establishes a multifunctional biomimetic nanoplatform that integrates platelet membrane-mediated active targeting with the anti-inflammatory, antioxidative, and neuroprotective properties of TGF-β1. The PLP system enables rapid lesion homing and long-term retention while synergistically regulating the post-stroke inflammatory microenvironment by suppressing pro-inflammatory immune activation, reducing neuronal apoptosis, and limiting excessive astrocyte reactivity. Importantly, this study proposes a conceptually therapeutic paradigm that combines targeted delivery with immune microenvironment remodeling to achieve comprehensive neurovascular protection. These findings provide strong experimental evidence supporting the translational potential of biomimetic nanotherapeutics as next-generation precision interventions for ischemic stroke.

Drug-target interaction (DTI) is fundamental to novel drug research and development (R &D), playing a critical role in elucidating drug mechanisms of action and improving the cost-effectiveness of drug discovery. Although China has seen rapid accumulation of drug-target resources in recent years, the industry still faces challenges such as a shortage of original targets and excessively high target concentration. The rapid advancement of artificial intelligence (AI) has provided an efficient technological pathway for DTI prediction, establishing it as a core tool for accelerating drug discovery. This paper systematically reviews the fundamental data support framework for DTI prediction tasks, elaborating in detail on three core data types— drug characterization, target characterization, and drug-target associations-as well as the classification and application boundaries of mainstream benchmark datasets tailored to different tasks within the field. On this basis, it comprehensively surveys the technological evolution of AI-driven DTI prediction, summarizing the core paradigms and technical advances of traditional machine learning and deep learning methods in a single-modality setting, alongside cutting-edge multimodal approaches that integrate two modalities (cross-subject/within-subject fusion) and three or more modalities for multidimensional information integration. Finally, this paper analyzes the current major challenges in data quality, model generalizability and interpretability, and real-world deployment, while also discussing future trends in standardized dataset construction, generative AI, and large-scale biomedical foundation models, aiming to provide a reference for both research and industrial applications in the AI-driven DTI prediction field.

ObjectiveThis study aimed to investigate the mechanism by which Luoshi Neiyi prescription treats endometriosis （EMs） through regulating ferroptosis， and to screen key metabolites and analyze their association with ferroptosis. MethodsClinical samples of normal endometrium from patients without EMs and eutopic and ectopic endometrium from EMs patients （10 cases each） were collected and divided into control group， eutopic group， and EMs group. Hematoxylin-eosin （HE） staining was performed to observe ectopic lesions of EMs. Immunohistochemistry was used to detect the expression of solute carrier family 7 member 11 （SLC7A11） and glutathione peroxidase 4 （GPX4）. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the levels of malondialdehyde （MDA）， ferrous ion （Fe²⁺）， GPX4 and glutathione （GSH） in endometrial tissues， as well as serum levels of Fe²⁺， GPX4 and GSH. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of SLC7A11， GPX4， transferrin receptor （TFR） and ferritin heavy chain 1 （FTH1）. In the in vitro experiment， primary stromal cells were isolated from ectopic lesions of EMs patients. Cell counting kit-8 （CCK-8） was used to determine the optimal concentration of drug-containing serum for intervention. The level of reactive oxygen species （ROS） was measured， and Real-time PCR was applied to detect ferroptosis-related indicators. In the animal experiments， an EM rat model was established， and the rats were randomly assigned to the sham operation group， EMs group， low-dose Luoshi Neiyi Formula group （7.87 g·kg^-1）， high-dose Luoshi Neiyi prescription group （15.74 g·kg^-1）， and danazol group （42 mg·kg^-1）. Untargeted metabolomics detection and pathway enrichment analysis were conducted on serum samples from patients and rats. Spearman correlation analysis was performed to assess the relationship between differential metabolites and ferroptosis indicators. The correlations between differential metabolites in patient endometrium and serum and key ferroptosis indicators （GPX4， Fe²⁺， MDA， GSH） as well as ferroptosis-related mRNAs （GPX4， SLC7A11， FTH1） were analyzed， and correlation heatmaps were generated accordingly. ResultsCompared with normal eutopic endometrium， ectopic lesions in EMs patients showed glandular disorganization and stromal fibrosis. In ectopic endometrium， the contents of MDA， ROS， and Fe²⁺ decreased， while GPX4 level increased， and the mRNA expression of SLC7A11 and GPX4 was upregulated （P<0.05， P<0.01）. In serum， the levels of GPX4 and Fe²⁺ were elevated， whereas the GSH level declined， suggesting abnormalities in ferroptosis-related pathways in ectopic lesions （P<0.05， P<0.01）. After intervention with Luoshi Neiyi prescription-containing serum， the intracellular ROS level in ectopic endometrial stromal cells was elevated， the mRNA expression of SLC7A11 and GPX4 was downregulated， and TFR mRNA expression was upregulated （P<0.05， P<0.01）. Metabolomics analysis revealed 1104 and 198 differential metabolites in EMs patients and EMs rats， respectively， compared with their corresponding control groups， and both low-dose and high-dose Luoshi Neiyi prescription were found to regulate this metabolic disturbance， with the core regulatory pathways mainly involving arginine and proline metabolism. Correlation analysis showed that the glycerophospholipids including PI（16∶0/17∶0） and PI［18∶2（9Z，12Z）］ were negatively correlated with GPX4 and positively correlated with MDA， while 17α-hydroxyprogesterone was positively correlated with GPX4， SLC7A11， and FTH1 q<0.05）. ConclusionLuoshi Neiyi prescription may systematically ameliorate disease-associated metabolic dysregulation via modulation of the serum arginine and proline metabolism pathway， and may regulate ferroptosis in ectopic lesions through a mechanism potentially linked to the serum glycerophospholipid and steroid metabolism pathways. Collectively， these findings provide experimental evidence for the clinical application of Luoshi Neiyi prescription.

ObjectiveThis study aimed to investigate the mechanism by which Luoshi Neiyi prescription treats endometriosis （EMs） through regulating ferroptosis， and to screen key metabolites and analyze their association with ferroptosis. MethodsClinical samples of normal endometrium from patients without EMs and eutopic and ectopic endometrium from EMs patients （10 cases each） were collected and divided into control group， eutopic group， and EMs group. Hematoxylin-eosin （HE） staining was performed to observe ectopic lesions of EMs. Immunohistochemistry was used to detect the expression of solute carrier family 7 member 11 （SLC7A11） and glutathione peroxidase 4 （GPX4）. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the levels of malondialdehyde （MDA）， ferrous ion （Fe²⁺）， GPX4 and glutathione （GSH） in endometrial tissues， as well as serum levels of Fe²⁺， GPX4 and GSH. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of SLC7A11， GPX4， transferrin receptor （TFR） and ferritin heavy chain 1 （FTH1）. In the in vitro experiment， primary stromal cells were isolated from ectopic lesions of EMs patients. Cell counting kit-8 （CCK-8） was used to determine the optimal concentration of drug-containing serum for intervention. The level of reactive oxygen species （ROS） was measured， and Real-time PCR was applied to detect ferroptosis-related indicators. In the animal experiments， an EM rat model was established， and the rats were randomly assigned to the sham operation group， EMs group， low-dose Luoshi Neiyi Formula group （7.87 g·kg^-1）， high-dose Luoshi Neiyi prescription group （15.74 g·kg^-1）， and danazol group （42 mg·kg^-1）. Untargeted metabolomics detection and pathway enrichment analysis were conducted on serum samples from patients and rats. Spearman correlation analysis was performed to assess the relationship between differential metabolites and ferroptosis indicators. The correlations between differential metabolites in patient endometrium and serum and key ferroptosis indicators （GPX4， Fe²⁺， MDA， GSH） as well as ferroptosis-related mRNAs （GPX4， SLC7A11， FTH1） were analyzed， and correlation heatmaps were generated accordingly. ResultsCompared with normal eutopic endometrium， ectopic lesions in EMs patients showed glandular disorganization and stromal fibrosis. In ectopic endometrium， the contents of MDA， ROS， and Fe²⁺ decreased， while GPX4 level increased， and the mRNA expression of SLC7A11 and GPX4 was upregulated （P<0.05， P<0.01）. In serum， the levels of GPX4 and Fe²⁺ were elevated， whereas the GSH level declined， suggesting abnormalities in ferroptosis-related pathways in ectopic lesions （P<0.05， P<0.01）. After intervention with Luoshi Neiyi prescription-containing serum， the intracellular ROS level in ectopic endometrial stromal cells was elevated， the mRNA expression of SLC7A11 and GPX4 was downregulated， and TFR mRNA expression was upregulated （P<0.05， P<0.01）. Metabolomics analysis revealed 1104 and 198 differential metabolites in EMs patients and EMs rats， respectively， compared with their corresponding control groups， and both low-dose and high-dose Luoshi Neiyi prescription were found to regulate this metabolic disturbance， with the core regulatory pathways mainly involving arginine and proline metabolism. Correlation analysis showed that the glycerophospholipids including PI（16∶0/17∶0） and PI［18∶2（9Z，12Z）］ were negatively correlated with GPX4 and positively correlated with MDA， while 17α-hydroxyprogesterone was positively correlated with GPX4， SLC7A11， and FTH1 q<0.05）. ConclusionLuoshi Neiyi prescription may systematically ameliorate disease-associated metabolic dysregulation via modulation of the serum arginine and proline metabolism pathway， and may regulate ferroptosis in ectopic lesions through a mechanism potentially linked to the serum glycerophospholipid and steroid metabolism pathways. Collectively， these findings provide experimental evidence for the clinical application of Luoshi Neiyi prescription.

ObjectiveTo explore the effect of Buzhong Yiqitang on exercise-induced fatigue and its potential mechanism. MethodsSixty male SPF-grade C57BL/6J mice were randomized into blank， model， low-， medium-， high-dose （4.1， 8.2， 16.4 g·kg^-1， respectively） Buzhong Yiqitang， and vitamin C （0.04 g·kg^-1） groups. The blank and model groups were administrated with normal saline. Each group was administrated with corresponding agents by gavage at a dose of 0.2 mL once a day. Except the blank group， other groups underwent a 6-weeks exhaustive swimming test under negative gravity. At the end of the experiment， blood was collected， and the thymus， spleen， liver， and kidney weights were measured. Serum levels of lactic acid （LD）， blood urea nitrogen （BUN）， creatine kinase （CK）， and malondialdehyde （MDA） were assessed by kits to evaluate fatigue. Hematoxylin-eosin staining was performed to observe pathological changes in the skeletal muscle. Electron microscopy was used to examine the skeletal muscle cell ultrastructure， with a focus on mitochondrial morphological changes. The adenosine triphosphate （ATP） content and activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ in skeletal muscle were determined by kits. The expression levels of key genes and proteins in the PTEN-induced putative kinase 1 （PINK1）-mediated mitochondrial homeostasis pathways in the skeletal muscle were evaluated via Real-time PCR and Western blot， respectively. ResultsCompared with the blank group， the model group showed reductions in weight gain rate （P<0.01） and thymus index （P<0.01）， rises in serum levels of LD， BUN， MDA， and CK （P<0.01）， disarrangement of skeletal muscle， broken muscle fibers， inflammatory cell infiltration in muscle fiber gaps， abnormal morphological changes （increased vacuolated mitochondria and disappearance of cristae） of mitochondria in skeletal muscle cells， and decreased mitochondria. In addition， the skeletal muscle in the model group showed reduced content of ATP， weakened activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ （P<0.05）， up-regulated mRNA levels of PINK1， E3 ubiquitin-protein ligase （Parkin）， hairy/enhancer-of-split related with YRPW motif 1 （HEY1）， dynamin-related protein 1 （Drp1）， sequestosome 1 （p62）， and hypoxia-inducible factor 1 alpha （HIF-1α） （P<0.05）， and down-regulated protein level of microtubule-associated protein 1-light chain 3B （LC3B） （P<0.01）. Compared with the model group， Buzhong Yiqitang prolonged the swimming exhaustion time （P<0.01）， increased the weight gain rate （P<0.01） and thymus index （P<0.01）， lowered the serum levels of LD， BUN， MDA， and CK （P<0.05， P<0.01）. The skeletal muscle in the Buzhong Yiqitang groups showed neat arrangement， reduced inflammatory cells， intact mitochondria with dense cristae， and increased mitochondria. In addition， the skeletal muscle in the Buzhong Yiqitang groups showcased increased ATP content， enhanced activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ （P<0.05， P<0.01）， up-regulated protein levels of PINK1， Parkin， HEY1， LC3B， and Drp1 and mRNA level of HIF-1α （P<0.05， P<0.01）， and down-regulated expression level of p62 （P<0.05， P<0.01）. ConclusionBuzhong Yiqitang can prevent and treat exercise-induced fatigue by regulating the mitochondrial homeostasis of skeletal muscle via the HIF-1α/PINK1/Parkin and HIF-1α/HEY1/PINK1 signaling pathways.

ObjectiveTo explore the effect of Buzhong Yiqitang on exercise-induced fatigue and its potential mechanism. MethodsSixty male SPF-grade C57BL/6J mice were randomized into blank， model， low-， medium-， high-dose （4.1， 8.2， 16.4 g·kg^-1， respectively） Buzhong Yiqitang， and vitamin C （0.04 g·kg^-1） groups. The blank and model groups were administrated with normal saline. Each group was administrated with corresponding agents by gavage at a dose of 0.2 mL once a day. Except the blank group， other groups underwent a 6-weeks exhaustive swimming test under negative gravity. At the end of the experiment， blood was collected， and the thymus， spleen， liver， and kidney weights were measured. Serum levels of lactic acid （LD）， blood urea nitrogen （BUN）， creatine kinase （CK）， and malondialdehyde （MDA） were assessed by kits to evaluate fatigue. Hematoxylin-eosin staining was performed to observe pathological changes in the skeletal muscle. Electron microscopy was used to examine the skeletal muscle cell ultrastructure， with a focus on mitochondrial morphological changes. The adenosine triphosphate （ATP） content and activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ in skeletal muscle were determined by kits. The expression levels of key genes and proteins in the PTEN-induced putative kinase 1 （PINK1）-mediated mitochondrial homeostasis pathways in the skeletal muscle were evaluated via Real-time PCR and Western blot， respectively. ResultsCompared with the blank group， the model group showed reductions in weight gain rate （P<0.01） and thymus index （P<0.01）， rises in serum levels of LD， BUN， MDA， and CK （P<0.01）， disarrangement of skeletal muscle， broken muscle fibers， inflammatory cell infiltration in muscle fiber gaps， abnormal morphological changes （increased vacuolated mitochondria and disappearance of cristae） of mitochondria in skeletal muscle cells， and decreased mitochondria. In addition， the skeletal muscle in the model group showed reduced content of ATP， weakened activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ （P<0.05）， up-regulated mRNA levels of PINK1， E3 ubiquitin-protein ligase （Parkin）， hairy/enhancer-of-split related with YRPW motif 1 （HEY1）， dynamin-related protein 1 （Drp1）， sequestosome 1 （p62）， and hypoxia-inducible factor 1 alpha （HIF-1α） （P<0.05）， and down-regulated protein level of microtubule-associated protein 1-light chain 3B （LC3B） （P<0.01）. Compared with the model group， Buzhong Yiqitang prolonged the swimming exhaustion time （P<0.01）， increased the weight gain rate （P<0.01） and thymus index （P<0.01）， lowered the serum levels of LD， BUN， MDA， and CK （P<0.05， P<0.01）. The skeletal muscle in the Buzhong Yiqitang groups showed neat arrangement， reduced inflammatory cells， intact mitochondria with dense cristae， and increased mitochondria. In addition， the skeletal muscle in the Buzhong Yiqitang groups showcased increased ATP content， enhanced activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ （P<0.05， P<0.01）， up-regulated protein levels of PINK1， Parkin， HEY1， LC3B， and Drp1 and mRNA level of HIF-1α （P<0.05， P<0.01）， and down-regulated expression level of p62 （P<0.05， P<0.01）. ConclusionBuzhong Yiqitang can prevent and treat exercise-induced fatigue by regulating the mitochondrial homeostasis of skeletal muscle via the HIF-1α/PINK1/Parkin and HIF-1α/HEY1/PINK1 signaling pathways.

Objective To analyze the relationships of familial affective expression with anxiety and depression in adolescents,and to explore the related factors influencing familial affective expres-sion among adolescents.Methods This cross-sectional study employed a multi-stage stratified clus-ter random sampling method to select 2,216 middle school students in Hefei from January 2 to 15,2024,for an online questionnaire survey.The Adolescent Affective Expression Scale,the Screen for Child Anxiety Related Emotional Disorders(SCARED),and the Depression Self-Rating Scale for Children(DSRSC)were used to assess the level of familial affective expression and the status of anxi-ety and depression among adolescents.The familial affective expression of adolescents with different demographic characteristics was compared;the Pearson correlation analysis was used to explore the correlations of familial affective expression with anxiety and depression;the multiple linear regression analysis was conducted to identify the influencing factors of familial affective expression among adoles-cents.Results A total of 2,216 questionnaires were distributed,and 2,017 valid questionnaires were returned,yielding a response rate of 91.02％.The total score on the Adolescent Affective Expression Scale was(24.91±7.98),with a detection rate of 17.06％for high familial affective expression.The correlation analysis revealed positive correlations of the total score on the Adolescent Affective Expression Scale with the scores on the SCARED and DSRSC(P＜0.05).The results of multiple linear regression analysis indicated that male(B=-2.321,95％CI,-2.587 to-2.106),living in an urban environment(B=-1.196,95％CI,-1.636 to 0.154),having a harmonious parent-child relationship without frequent arguments(B=-2.348,95％CI,-2.631 to-1.759),expe-riencing marital conflict(B=3.615,95％CI,3.015 to 4.123),adopting negative coping strate-gies(B=0.107,95％CI,0.033 to 0.196),and having lower psychological flexibility(B=0.212,95％CI,0.115 to 0.289)were influencing factors of familial affective expression among ad-olescents(P＜0.05).Conclusion Familial affective expression is associated with anxiety and de-pression in adolescents.Gender,living environment,parent-child relationship,marital relationship,coping styles,and psychological flexibility may have certain impacts on familial affective expression among adolescents.

[Purpose]To analyze the trends of brain tumor incidence and age of onset in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]The incidence data of brain tumors from 2009 to 2019 were obtained from 16 national cancer registration areas of Jiangsu Province.The crude incidence rate,age-standardized incidence rate by Chinese standard popula-tion(ASIRC),average age of onset,standardized age-specific incidence rate,and annual average percentage change(AAPC)by sexes and regions were calculated.[Results]The incidence rate of brain tumor in Jiangsu Province from 2009 to 2019 showed an increasing trend(AAPC=4.12％,95％CI:3.31％～4.95％),and the increase in female(AAPC=5.79％,95％CI:4.44％～7.15％)was higher than that in male(AAPC=2.31％,95％CI:1.66％～2.97％);and the increase in urban areas(AAPC=4.84％,95％CI:3.52％～6.18％)was higher than that in rural areas(AAPC=3.04％,95％CI:2.12％～3.98％).The ASIRC also showed an increasing trend(AAPC=2.14％,95％CI:1.27％～3.02％).Birth cohort analysis showed that within the same age group,the incidence rate of brain tumors increased with increasing birth years.The average age of onset for crude incidence showed a delaying trend of 0.43 years old per year(t=7.09,P＜0.001);that for ASIRC was 0.20 years old per year(t=3.33,P=0.009).The proportion of patients in the age group of 60 years old and above increased from 35.79％in 2009 to 44.18％in 2019.[Conclusion]The incidence of brain tumor in cancer registration areas of Jiangsu Province showed an increasing trend from 2009 to 2019 with a delaying trend of average age of onset.