ObjectiveTo investigate the effects of exogenous nitric oxide （NO） on the accumulation and quality formation mechanism of flavonoids in Scutellariae Radix. MethodsFresh roots of Scutellaria baicalensis were treated with sodium nitroprusside （SNP） solutions at concentrations of 0.0， 7.5， and 20 mmol·L^-1， respectively. Kits and supporting reaction systems were used to determine the following indicators of samples in each group， including （1） reactive oxygen species： changes in the content of nitric oxide （NO）， superoxide anion （O2-·）， and hydrogen peroxide （H₂O₂）， （2） lipid oxidation products： changes in the content of malondialdehyde （MDA）， （3） antioxidant enzymes： changes in the activity of superoxide dismutase （SOD）， catalase （CAT）， and peroxidase （POD）， and （4） metabolic key enzymes and metabolic intermediates： Changes in the activity of phenylalanine ammonia-lyase （PAL） and the content of 1，3-diphosphoglycerate （1，3-DPG）. High-performance liquid chromatography （HPLC） was used to determine the changes in the content of secondary metabolites in flavonoids such as baicalin， wogonoside， baicalein， and wogonin in each group. ResultsCompared with that on day 0， during the treatment with 20 mmol·L^-1 SNP solution， the content of NO， O2-·， H₂O₂， and MDA in fresh roots of Scutellaria baicalensis increased significantly （P<0.01）， by 138.7%， 75.7%， 292.9%， and 140.3% respectively. The activity of SOD， CAT， and POD increased by 100.7%， 41.4%， and 70.4% respectively （P<0.01）， and that of PAL increased by 111.1% （P<0.01）. The content of the secondary metabolites baicalin and wogonoside remained basically unchanged， while that of baicalein and wogonin increased by 401.3% and 457.9% respectively （P<0.01）. The content of 1，3-DPG increased by 165.0% （P<0.01）. In the 7.5 mmol·L^-1 SNP solution treatment group， the stress degree was relatively mild. Compared with that on day 0， the content of NO， O2-·， H₂O₂， and MDA increased by 76.2%， 57.7%， 221.4%， and 99.7% respectively （P<0.01）. The activity of antioxidant enzymes SOD， CAT， and POD increased by 79.5%， 55.6%， and 51.9% respectively （P<0.01）， and that of PAL increased by 69.0% （P<0.01）. The content of baicalein and wogonin increased by 204.7% and 272.2% respectively （P<0.01）， and that of 1，3-DPG increased by 128.0% （P<0.01）. The 20 mmol·L^-1 SNP group showed better performance than the 7.5 mmol·L^-1 SNP group. ConclusionSNP can simulate the physiological state of Scutellaria baicalensis under stress conditions， activate the antioxidant protection mechanism， promote the biosynthesis of flavonoids in Scutellariae Radix， and significantly improve the quality of medicinal materials in Scutellariae Radix.

ObjectiveTo investigate the effects of Sanjie Quban prescription （SJQB）-containing serum on the proliferation， apoptosis， migration， and invasion of human keloid fibroblasts （KFs） and to elucidate its underlying mechanism， with a focus on the aryl hydrocarbon receptor （AhR）/cytochrome P450 family 1 subfamily A member 1 （CYP1A1） signaling pathway. MethodsPrimary human KFs were cultured in vitro and assigned to the following groups： control （KFs+blank serum）， asiaticoside （KFs+asiaticoside-containing serum）， SJQB （KFs+SJQB-containing serum）， AhR agonist （KFs+β-naphthoflavone）， AhR inhibitor （KFs+CH223191）， and AhR inhibitor+SJQB （KFs+CH223191+SJQB-containing serum）. The optimal intervention concentrations were determined through the cell counting kit-8 （CCK-8） assay. Cell proliferation， apoptosis， migration， and invasion were evaluated by the EdU assay， flow cytometry， wound healing assay， and Transwell assay， respectively. The expression of transforming growth factor-β₁ （TGF-β₁） and α-smooth muscle actin （α-SMA） was visualized by immunofluorescence. The mRNA and protein levels of AhR， CYP1A1， TGF-β₁， and α-SMA were measured by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. ResultsCompared with the control group， the SJQB， asiaticoside， and AhR agonist groups demonstrated inhibited cell proliferation， migration， and invasion， along with an increased apoptosis rate （P<0.01）. The AhR inhibitor group showed enhanced proliferation， migration， and invasion together with a reduced apoptosis rate in comparison with the AhR agonist group （P<0.01）. The AhR inhibitor+SJQB group exhibited increased proliferation， migration， and invasion as well as decreased apoptosis compared with the SJQB group （P<0.05， P<0.01）. At the molecular level， compared with the control group， the SJQB， asiaticoside， and AhR agonist groups presented upregulated protein and mRNA levels of AhR and CYP1A1 （P<0.05， P<0.01）， while the SJQB and AhR agonist groups showed downregulated TGF-β₁ and α-SMA expression at both protein and mRNA levels （P<0.05， P<0.01）， and the asiaticoside group displayed decreased protein level of TGF-β₁ and mRNA level of α-SMA （P<0.05， P<0.01）. Compared with both the AhR agonist and control groups， the AhR inhibitor group exhibited decreased AhR and CYP1A1 expression but increased TGF-β₁ and α-SMA expression at protein and mRNA levels （P<0.01）. In comparison with the SJQB group， the AhR inhibitor+SJQB group demonstrated reduced AhR and CYP1A1 expression （P<0.01） and elevated TGF-β₁ and α-SMA expression （P<0.05， P<0.01） at both protein and mRNA levels. ConclusionSJQB may activate the AhR/CYP1A1 signaling pathway to downregulate TGF-β₁ and α-SMA expression， thereby suppressing the proliferation， migration， and invasion and inducing the apoptosis of KFs.

ObjectiveTo quantitatively analyze and evaluate the content of China's assistive technology industry policies. MethodsBased on the three-dimensional framework of policy "objectives-instruments-intensity", this study examined 101 national-level assistive technology industry policies issued between 2011 and 2024. Policy text analysis was conducted to assess the matching and coordination among policy objectives, policy instruments and policy intensity. Furthermore, the policy modeling consistency (PMC) index model was applied to establish an evaluation system consisting of nine primary indicators and 35 secondary indicators, and six key policies were quantitatively evaluated. ResultsThe policy objectives mainly focused on optimizing the industrial development structure, also emphasized supportive environments for industrial development and the enhancement of innovation capacity. Policy instruments were dominated by supply-oriented and environment-oriented instruments, supplemented by demand-oriented instruments, aiming to strengthen technological foundations and competitiveness, promote standardized development, and facilitate industrial development and upgrading. Regarding the matching between policy objectives and instruments, multiple instruments were adopted to support different objectives, with different priorities. In terms of the matching between policy objectives and policy intensity, policies mainly emphasized improving the accessibility of assistive technology products and meeting the rehabilitation needs of different populations. Regarding the matching between policy instruments and policy intensity, supply-oriented instruments were more frequently adopted and showed higher policy intensity, indicating strong governmental efforts to optimize production factor allocation and enhance the capacity of market entities. The average PMC index score was 6.45, indicating relatively high policy quality, strong internal consistency, stable policy orientation, and clear objectives. The PMC scores for policy evaluation and policy instrument dimensions were relatively high, while some policies showed relatively narrow objectives. ConclusionChina's assistive technology industry policies demonstrate relatively high quality. Future policy development should further strengthen industrial innovation capacity, optimize the structure of policy instruments, and improve the alignment between policy objectives and instruments.

Objective To investigate the efficacy and safety of EGFR-TKIs monotherapy and its combination therapy in the first-line treatment of advanced non-small cell lung cancer （NSCLC） patients with EGFR mutations. Methods Databases such as PubMed, Embase, Cochrane Library, and ClinicalTrials.gov were systematically searched to collect eligible phase Ⅱ/Ⅲ randomized controlled trials （RCTs）, with the time range from the establishment of the databases to June 2023. Two researchers independently screened the literature, extracted data, and assessed the risk of bias in the studies. Outcome data, including overall survival （OS）, progression-free survival （PFS）, objective response rate （ORR）, grade 3 or higher adverse events （≥3 AEs）, and serious adverse events （SAEs）, were collected. A network meta-analysis was performed using R software （version 4.2.1） under the Bayesian theoretical framework. Subgroup analyses of survival outcomes （OS, PFS） were conducted based on different clinical and pathophysiological characteristics of the patients. Results A total of twenty-eight phase Ⅱ/Ⅲ RCTs were included in the study, involving a total of 7 460 patients and 18 first-line treatment regimens. The results showed that in terms of efficacy, gefitinib + pemetrexed-containing chemotherapy performed best in OS and ORR, while osimertinib + bevacizumab performed best in PFS. In terms of safety, furmonertinib had the lowest incidence of ≥3 grade AEs, and osimertinib had the lowest incidence of SAEs. Subgroup analysis results indicated that the efficacy and safety of various treatment regimens differed among patients with different clinical and pathological characteristics. Conclusion Monotherapy with third-generation EGFR-TKIs, represented by osimertinib, serves as the preferred therapeutic option considering both efficacy and safety profiles. While some combination therapies could enhance survival benefits, need to be vigilant about increased toxicity. Clinical decision-making should be tailored based on patients’ mutation subtypes, comorbidities, and tolerance.

Objective:To investigate the alterations of individual metabolic brain network properties in patients with mild cognitive impairment (MCI) and their correlations with cognitive function.Methods:One hundred and five participants from Alzheimer's Disease Neuroimaging Initiative (ADNI) database enrolled from March 2012 to February 2016 were chosen, including 61 MCI patients and 44 normal controls (NC). Cognitive assessments, including mini-mental state examination (MMSE), auditory verbal learning test (AVLT), trail making test (TMT), and semantic verbal fluency (SVF) score, were performed in both groups; differences of above scores and clinical data between the participants from the two groups were compared. T1-weighted imaging and fluorodeoxyglucose positron emission tomography (FDG-PET) images were collected in both groups; individual metabolic brain networks were constructed based on differences in effect sizes between brain regions and network properties were calculated. Spatial correlation analysis was used to compare the correlations of metabolic brain networks at the individual and group levels. General linear model was employed to compare the differences in network properties between the two groups. Partial correlation analysis was used to examine the correlations of differential network properties with cognitive function in MCI patients. A support vector machine (SVM) classification model was constructed based on individual metabolic brain network properties, and receiver operating characteristic (ROC) curve was used to explore the diagnostic value of this SVM classification model in MCI.Results:(1) Compared with the NC group, the MCI group had significantly lower MMSE and AVLT-immediate recall scores, and longer TMT-A completion time ( P<0.05). (2) Spatial correlation analysis revealed a positive correlation between individual metabolic brain networks and group-level metabolic brain networks in patients of the MCI group ( r=0.825, P<0.001). No significant differences in global network properties were noted between the two groups ( P>0.05). Compared with the NC group, the MCI group significantly decreased degree centrality in the left A8vl, right A39c, and right V5/MT+ regions, increased degree centrality in the left anterior cuneus, decreased nodal efficiency in the left A8vl, right V5/MT+, and right caudal hippocampus regions, increased nodal shortest path length and nodal clustering coefficient in the left A8vl region ( P<0.05). (3) The degree centrality at the A8vl of ventral part of the left middle frontal gyrus and nodal efficiency in right caudal hippocampus region were positively correlated with AVLT-immediate recall scores ( r=0.331, P=0.010; r=0.282, P=0.030), nodal efficiency in the left A8vl region was negatively correlated with TMT-A completion time ( r=-0.470, P<0.001), and nodal efficiency in the left A8vl region was positively correlated with SVF score ( r=0.263, P=0.044). (4) Area under the curve of SVM classification model in diagnosing MCI was 0.880 (95% CI: 0.813-0.945, P<0.001), with an accuracy rate of 0.790. Conclusions:Patients with MCI have alterations in individual metabolic brain network properties, among which the degree centrality and nodal efficiency of some nodes are closely related to cognitive function changes. Models constructed based on individual metabolic brain network properties can help to effectively diagnose MCI.

The aging trend is intensifying currently,but there is still a lack of standardized diagnosis and treat-ment schemes for severe infections in elderly people.This paper focuses on the recommendations for immune-related clinical diagnosis and treatment routes as well as the idea of risk stratified diagnosis and treatment for elderly peo-ple,aiming to effectively prevent infectious diseases in elderly people and perform stratified management through systematic and scientific means of immune function monitoring and regulation,so as to enhance the standardized level of diagnosis and treatment as well as clinical treatment effect of infection in elderly people.

Objective Based on the Ancient and Modern Medical Case Cloud Platform V2.3.7,analyze the medication pattern and mechanism of action of Chinese medicines commonly used in famous medical cases for the treatment of Alzheimer's disease(AD).Methods The core Chinese medicines for AD were screened according to the inclusion and exclusion criteria by searching the famous Chinese medicine cases in the platform,then established the disease-core Chinese medicines-active ingredients-common targets network.The protein-protein interaction network(PPI)was established through the common targets.Gene oncology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed by David platform.Molecular docking and dynamics simulations were employed to evaluate the binding affinity and stability between key targets and active ingredients.Results Data mining was performed on all the famous medical cases from the time of database construction to October 2023,and the results were summarized as follows.The high-frequency regulating Qi medications and tonifying Qi medications were Citri Reticulatae Pericarpium and Aurantii Fructus Immaturus;Panax ginseng,Ziziphi Jujubae Fructus,Codonopsis pilosula,Astragali Radix,Atractylodis Macrocephalae Rhizoma,Dioscoreae Rhizoma,and Glycyrrhizae Radix et Rhizoma.The core herbs contained 778 active ingredients and 377 targets;1986 disease targets;79 common targets were obtained after intersection with AD targets,and 7 core targets were identified through PPI network topology analysis,including TNF,AKT1,TP53,PPARG,etc.GO and KEGG pathway enrichment analyses confirmed that the targets of the active ingredients of the core herbs involved 138 pathways,and the core herbs could regulate chemical carcinogenesis-receptor activation、serotonergic synapse、chemical carcinogenesis-reactive oxygen species pathways to treat AD.Molecular docking and molecular dynamics simulation results showed good binding ability and stability between the key targets and the core components.Conclusion Through data mining to analyze the core herbs for the treatment of AD,the present investigation showing the pharmacological mechanism of 12-O-Nicotinoylisolineolone and Odoratin in the treatment of Alzheimer's disease at the molecular level,lay a certain theoretical foundation of 12-O-Nicotinoylisolineolone and Odoratin in the future.

Objective To explore the biological characteristics associated with different subtypes and the response to immunotherapy by integrating multiomics analysis and artificial neural networks(ANN)to delineate the precise molecular subtypes of adrenocortical carcinoma(ACC)and establish a prognostic prediction model,in order to provide reference for the accurate prognosis assessment and individualized treatment of ACC.Methods The multiomics data of 44 Chinese ACC patients admitted to the Department of Urology,West China Hospital of Sichuan University during Jan.1,2012 and Dec.31,2022 were integrated,including genomic,transcriptomic and clinical features.Ten different clustering algorithms were employed for consensus clustering to identify robust molecular subtypes.The results were then incorporated into an ANN model to construct an ANN-driven prognostic index(ANPI)for patient stratification and survival prediction.Results Three distinct molecular subtypes(cancer subtypes,CS1-3)with significantly different prognoses were identified,among which CS1 exhibited the poorest survival outcomes.A set of 20 core genes was selected to form the basis of the ANPI model.ANPI effectively stratified patients into high-and low-risk groups:patients in the low-ANPI group had significantly better overall survival and exhibited"hot tumor"immune phenotypes,suggesting greater benefits from immunotherapy.In contrast,high-ANPI patients had worse prognoses and displayed"cold tumor"characteristics with weaker immunotherapy responses.Conclusion Our integrative multiomics analysis illustrated the molecular landscape of ACC in the Chinese population and uncovered the key immune-related features linked to clinical outcomes.The ANPI model demonstrated strong performance in prognostic prediction and immunotherapy response assessment,offering a valuable tool for precision oncology and clinical decision-making.

Objective:To investigate the effect of ERMAP on imiquimod(IMQ)-induced psoriasis-like skin inflammation in mice and its related mechanism.Methods:The experimental mice were divided into 3 groups:Sham group,WT group and ERMAP-/-group,with 9 mice in each group.The Sham group was smeared with Vaseline,and the WT group and ERMAP-/-group were smeared with IMQ to induce psoriatic dermatitis.The severity of IMQ-induced psoriasis lesions in mice were evaluated according to the psoria-sis area and severity index(PASI)and the HE staining pathology score.The expressions of F4/80 and Ki67 in mouse skin lesions were observed by immunofluorescence staining.The relative expressions of IL-1β,IL-6,IFN-γ and iNOS in skin lesions were detected by qRT-PCR.Flow cytometry was used to detect the proliferation and activation of T cells and the proportion of macrophages in spleen.Results:In the IMQ-induced mouse model of psoriasis-like dermatitis,the skin lesions of ERMAP gene knock out mice showed more severe squamous accumulation and skin bulge,more inflammatory cells aggregation and cytokine production,and the proportion of immune cells in the spleen of mice increased compared with the WT group,and the proportion of M1 macrophages increased.Conclu-sion:ERMAP deficiency aggravates IMQ-induced psoriasis-like skin inflammation in mice by enhancing immune response.

Objective To explore whether miR-146b can participate in the brain injury process of diabetic rats with cerebral infarction(DM-CI)by regulating the extracellular regulatory protein kinase(ERK1/2)-activated protein-1(AP-1)signaling pathway.Methods 80 SD rats were randomly divided into sham operation group,DM-CI group,low miR-146b expression group and ERK1/2 inhibition group,with 20 rats in each group.The National Institutes of Health Stroke Scale(NIHSS)score measures brain function in rats.The mRNA levels of miR-146b,ERK1/2 and AP-1 in rat brain tissue were detected by RT-qPCR.Western blotting detected ERK1/2,AP-1 protein levels in rat brain tissue.TTC staining was used to detect cerebral infarction volume in rats.H&E staining was used to detect brain histopathological changes.Random blood glucose levels were detected by glucose meter in rats.Results Compared with sham operation group,mRNA expression levels of miR-146b,ERK1/2 and AP-1 in brain tissue of rats in DM-CI group were significantly increased,with statistically differences(t=10.86,15.62,9.87,all P<0.05).ERK1/2 and AP-1 protein levels increased,with statistically differences(t=11.18,23.81,P<0.05).NIHSS score increased and random blood glucose level increased(t=44.49,30.02,all P<0.05),and increased cerebral infarction volume(t=51.05,P<0.05),the structure of brain tissue was disorganized and loose,and edema can be seen in the pericellular space.Compared with the DM-CI group,the mRNA expression levels of miR-146b,ERK1/2 and AP-1 in the brain tissue of rats with low expression of miR-146b were decreased,with statistically differences(t=38.00,20.03,24.25,all P<0.05).the protein expression of EPK1/2 and AP-1 decreased,and the differences were statistically significant(t=12.30,26.70,all P＜0.05).NIHSS score and random blood glucose level were decreased,with statistically differences(t=38.11,33.77,all P<0.05),cerebral infarction volume decreased(t=16.70,P<0.05),the degree of brain tissue in jury and edema was improved,and the expression levels of ERK1/2 and AP-1 protein and mRNA in brain tissue of rats inhibited by ERK1/2 were decreased,with statistically differences(t=13.61～38.00,all P<0.05),the NIHSS score of rats was decreased,and the random blood glucose level was decreased,with statistically differences(t=16.48,26.61,all P<0.05).Conclusion MiR-146b may be involved in brain functional and structural damage in DM-CI rats by regulating ERK1/2-AP-1 signaling pathway.