With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective To analyze the predictive value of different obesity indicators on acute cerebral infarction in patients with transient ischemic attack (TIA). Methods A total of 310 patients with TIA admitted to Tangdu Hospital of Air Force Medical University from March 2022 to September 2025 were selected and classified into non-event group (276 cases) and cerebral infarction group (34 cases) based on acute cerebral infarction within 90 days. The basic data and obesity-related indicators [body mass index (BMI), waist-to-hip ratio, body adiposity index (BAI), conicity index (C-index) and a body shape index (ABSI were compared. Multivariate logistic regression analysis was utilized to screen the independent influencing factors. Receiver operating characteristic (ROC) curve was drawn to analyze the predictive efficiency. Results The age, proportions of concurrent hypertension and concurrent diabetes mellitus, ABCD2 score, waist-to-hip ratio, ABSI, C-index, BMI and BAI in the cerebral infarction group were older or higher than those in the non-event group, and the symptoms duration was longer (P<0.05). The above indicators were all related factors for acute cerebral infarction in patients with TIA within 90 days (P<0.05), and ABSI and ABCD² score were independent influencing factors (P<0.05). The prediction model was manifested as Logit (P)=− 4.205 + 0.482 × ABCD² score + 1.120 × ABSI × 100. ABSI and ABCD2 score had predictive value on the occurrence of acute cerebral infarction (P<0.05), and the predictive efficiency of combined model was higher than that of single indicator (P<0.05). Conclusion Among different obesity indicators, ABSI has the highest value on predicting recent acute cerebral infarction in TIA. The prediction model based on ABSI and ABCD2 score exhibits the best predictive efficiency.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Objective To explore the molecular mechanism by which SOS Ras/Rac guanine nucleotide exchange factor 1-intronic transcript 1(SOS1-IT1)affects enhancer of zeste homolog 2(EZH2)protein expression in endometrial cancer cells Ishikawa and RL95-2.Methods Lentiviral transfection of short hairpin RNA(shRNA)and overexpression plasmid were used in Ishikawa and RL95-2 cell lines to knock down and overexpress SOS1-IT1.The mechanism of EZH2 expression regulation was studied using Real-time PCR,Western blotting,and chromatin immunoprecipitation.Results The expression of SOS1-IT1 and EZH2 genes was positively correlated in endometrial cancer tissues.Knocking down SOS1-IT1 significantly reduces the expression of EZH2,inhibited the proliferation and migration of Ishikawa and RL95-2 cells,and could reduced the acetylation of histone H3 at position 27(H3K27)and the enrichment of CREB binding protein(CBP)in the EZH2 gene promoter region.Overexpression of SOS1-IT1 could increased the expression of EZH2 and enhance the acetylation of H3K27 and the enrichment of CBP.CBP could bind to SOS1-IT1 RNA,and this binding ability was weakened when CBP was knocked down.Conclusion SOS1-IT1 can promote the expression level of EZH2 in endometrial cancer cells Ishikawa and RL95-2 by regulating the acetylation modification level of the EZH2 gene promoter region,thereby affecting the proliferation and migration ability of endometrial cancer cells.

Objective To explore the home rehabilitation experience of individuals with fully magnetically levitated left ventricular assist device,and to provide a basis for developing scientific nursing intervention plans and follow-up strategies for clinical practice.Methods Using phenomenological research methods,a semi-structured interview was conducted on 13 patients with fully maglev left ventricular assist device implantation in a tertiary A comprehensive hospital in Wuhan from September to October 2022.Colaizzi's 7-step analysis method was used to analyze the data and extract themes.Results A total of 3 themes and 9 subthemes were extracted,including complex emotions in home rehabilitation(challenges for new characters,anxieties and concerns,regaining new life and full of confidence),difficulties in home self-management(lack of professional knowledge,insufficient exercise,difficulty in managing pump cable bag wounds,weak ability to recognize and respond to external controller alarms),and needs for home rehabilitation(need for continuity of care,desire for more social support).Conclusion Complex emotional experiences and many difficulties and needs exist in the home rehabilitation process of patients after implantation of full magnetic levitation left ventricular assist device.Healthcare professionals should actively pay attention to the postoperative psychological changes of patients,strengthen pre-discharge training to improve patients'self-management ability,and actively build a multi-party Internet home rehabilitation management platform to improve the rehabilitation quality of patients.

Objective:To assess the feasibility and efficacy of transperineal laser ablation(TPLA)with single laser fiber in treating benign prostatic obstruction(BPO).Methods:From April 2021 to March 2024,a total of 13 BPO patients were selected from Beijing Friendship Hospital.TPLA was performed using a single laser fiber,which was guided by transrectal biplane ultrasound.The single laser fiber was used to undergo TPLA under the guidance of trans-rectal dual-plane ultrasound.The intraoperative time,ablation time,energy consumption,indwelling time of catheter,and complications were observed.The postoperative 6 months was chosen as the cut-off point of follow-up,and the pre and postoperative changes of international prostate symptom score(IPSS),quality of life index(QoL),prostate volume(PV),residual urine volume(RUV)and the maximum urine flow rate(Qmax)were compared.Results:All 13 patients successfully underwent TPLA with single laser fiber.The average operation time was(55.1±18.3)min,and the average ablation time was(16.3±1.7)min,and average energy consumption was(3951.6±459.7)J,and the median value of indwelling time of catheter was 7(7,10)days.The number of postoperative complication was 2 cases,and both them belonged to Clavien-Dindo grade II complication.At the postoperative 6th month,the IPSS,QoL,PV,Qmax and RUV of all patients were improved,all of which were better than preoperative these indicators,and the differences were significant(t=12.102,-3.228,-3.181,-2.581,-2.936,P<0.05).Conclusion:The application of single laser fiber in conducting TPLA operation is feasibility at technical aspect,and it can achieve the therapeutic goals of improving patients'symptoms and enhancing their quality of life.Although its operational time is slightly longer than that of using multiple fibers simultaneously,it can effectively reduce the cost of expenditure for consumables.

Objective To investigate the relationship between serum glucagon-like peptide-1(GLP-1),monocyte chemoattractant protein-1(MCP-1),insulin-like growth factor binding protein-3(IGFBP-3)and glycolipid metabolism,bone metabolism and microvascular complications(MC)in children with type 1 diabe-tes mellitus(T1DM).Methods A total of 211 children with T1DM(T1DM group)admitted to Handan Cen-tral Hospital,Xingtai Traditional Chinese Medicine Hospital,Baoding First Central Hospital and Handan Ma-ternal and Child Health Hospital from January 2021 to February 2023 were selected,patients were divided into MC group(63 cases)and non-MC group(148 cases)according to whether MC was complicated within 1 year,and 108 healthy children who underwent physical examination during the same period were selected as control group.The levels of serum GLP-1,MCP-1,IGFBP-3 and glucose and lipid metabolism indexes[fasting plasma glucose(FPG),fasting insulin(FINS),glycosylated hemoglobin(HbA1c),homeostasis model assessment of insulin resistance(HOMA-IR),total cholesterol(TC),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)]and bone metabolism indexes[bone specific alkaline phosphatase(BALP),osteocalcin(OST),type I collagen cross-linked C-terminal peptide(CTX)]were detec-ted.The correlation between serum GLP-1,MCP-1,IGFBP-3 and glucose and lipid metabolism,bone metabo-lism in children with T1DM were analyzed by Pearson and Spearman correlation coefficient.Taking MC in children with T1DM as the dependent variable,the influencing factors were determined by multivariate uncon-ditional Logistic regression model,and the predictive value of serum GLP-1,MCP-1 and IGFBP-3 for MC were analyzed by receiver operating characteristic curve.Results The levels of serum GLP-1,FINS,HDL-C,BALP,OST and CTX in the T1DM group were lower than those in the control group,while the levels of MCP-1,IGFBP-3,FPG,HbA1c,HOMA-IR,TG and LDL-C in the T1DM group were higher than those in the control group,the differences were statistically significant(P<0.05).Serum GLP-1 in children with T1DM was negatively correlated with FPG,HbA1c,HOMA-IR,TG and LDL-C,and positively correlated with FINS,HDL-C,BALP,OST and CTX(P<0.05).MCP-1 and IGFBP-3 were positively correlated with FPG,HbA1c,HOMA-IR,TG and LDL-C,and negatively correlated with FINS,HDL-C,BALP,OST and CTX(P<0.05).Follow-up for 1 year,the incidence of MC in 211 children with T1DM was 29.86%(63/211).Elevated HbA1c,HOMA-IR,LDL-C,MCP-1 and IGFBP-3 were independent risk factors for MC in children with T1DM,and elevated GLP-1 was an independent protective factor(P<0.05).The area under the curve of ser-um GLP-1,MCP-1 and IGFBP-3 combined to predict MC in children with T1DM was 0.919,which was grea-ter than 0.781,0.788 and 0.794 predicted by serum GLP-1,MCP-1 and IGFBP-3 alone(P<0.05).Conclu-sion The decrease of serum GLP-1 level and the increase of MCP-1 and IGFBP-3 levels are related to glyco-lipid metabolism,bone metabolism disorder and MC in children with T1DM,the combined application of ser-um GLP-1,MCP-1 and IGFBP-3 has a good predictive value for MC in children with T1DM.

Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

BACKGROUND:Human periodontal ligament stem cells are potential functional cells for periodontal tissue engineering.However,long-term in vitro culture may lead to reduced stemness and replicative senescence of periodontal ligament stem cells,which may impair the therapeutic effect of human periodontal ligament stem cells. OBJECTIVE:To investigate the effect of oxymatrine on the stemness maintenance and osteogenic differentiation of periodontal ligament stem cells in vitro,and to explore the potential mechanism. METHODS:Periodontal ligament stem cells were isolated from human periodontal ligament tissues by tissue explant enzyme digestion and cultured.The surface markers of mesenchymal cells were identified by flow cytometry.Periodontal ligament stem cells were incubated with 0,2.5,5,and 10 μg/mL oxymatrine.The effect of oxymatrine on the proliferation activity of periodontal ligament stem cells was detected by CCK8 assay.The appropriate drug concentration for subsequent experiments was screened.Western blot assay was used to detect the expression of stem cell non-specific proteins SOX2 and OCT4 in periodontal ligament stem cells.qRT-PCR and western blot assay were used to detect the expression levels of related osteogenic genes and proteins in periodontal ligament stem cells. RESULTS AND CONCLUSION:(1)The results of CCK8 assay showed that 2.5 μg/mL oxymatrine significantly enhanced the proliferative activity of periodontal stem cells,and the subsequent experiment selected 2.5 μg/mL oxymatrine to intervene.(2)Compared with the blank control group,the protein expression level of SOX2,a stem marker of periodontal ligament stem cells in the oxymatrine group did not change significantly(P>0.05),and the expression of OCT4 was significantly up-regulated(P<0.05).(3)Compared with the osteogenic induction group,the osteogenic genes ALP,RUNX2 mRNA expression and their osteogenic associated protein ALP protein expression of periodontal ligament stem cells were significantly down-regulated in the oxymatrine+osteogenic induction group(P<0.05).(4)The oxymatrine up-regulated the expression of stemness markers of periodontal ligament stem cells and inhibited the bone differentiation of periodontal ligament stem cells,and the results of high-throughput sequencing showed that it may be associated with WNT2,WNT16,COMP,and BMP6.

ObjectiveTo explore the target of Erzhiwan in reducing myocardial injury in ovariectomized mice through non-targeted myocardial metabolomics combined with experimental verification. MethodsOvariectomized mouse model was selected， 40 female C57BL/6 mice were randomly divided into sham operation group， model group， estrogen group（estradiol valerate， 1.3×10^-4 g·kg^-1）， Erzhiwan low and high dose groups（3.12， 9.36 g·kg^-1）， with 8 mice in each group. Each administration group was given the corresponding dose of Erzhiwan by gavage， and the sham operation group and model group were given equal volume of distilled water by gavage for 12 weeks. Echocardiography was used to detect cardiac function， hematoxylin-eosin（HE） staining was used to observe myocardial morphological changes， and enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of estrogen， N-terminal pro-brain natriuretic peptide（NT-proBNP）， hypersensitive troponin T（hs-TnT）， total cholesterol（TC）， triglyceride（TG）， low density lipoprotein cholesterol（LDL-C）， high density lipoprotein cholesterol（HDL-C）， interleukin（IL）-1β， IL-18 and tumor necrosis factor-α（TNF-α）. The non-targeted metabolomics of mouse myocardium were analyzed by ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS）， and the differential metabolites and corresponding metabolic pathways were obtained. The mRNA expression levels of phosphatidylinositol 3-kinase（PI3K） and protein kinase B（Akt） in mouse myocardial tissues were detected by real-time fluorescence quantitative polymerase chain reaction（Real-time PCR）， and the protein expression levels of PI3K， Akt， phosphorylated（p）-Akt were detected by Western blot. ResultsCompared with the sham operation group， the model group showed abnormal cardiac function， increased myocardial fiber space， cardiomyocyte atrophy， sarcoplasmic aggregation， and occasional dissolution or rupture of muscle fiber， the level of estrogen in the serum was decreased， the levels of NT-proBNP， hs-TnT， IL-1β， IL-18， TNF-α， TG， TC and LDL-C were increased， and the level of HDL-C was decreased（P<0.01）. Compared with the model group， Erzhiwan could increase the level of estrogen， improve the abnormal cardiac function， reduce the pathological injury of myocardial tissue， decrease the levels of myocardial injury markers（NT-proBNP， hs-TnT） and inflammatory factors（IL-1β， IL-18， TNF-α）， decrease the levels of TG， TC， LDL-C， and increased the level of HDL-C（P<0.01）. The results of non-targeted myocardial metabolomics showed that 31 of the 162 differential metabolites between the model group and sham operation group were significantly adjusted after administration of Erzhiwan， which were mainly glycerol phospholipid metabolites. Pathway enrichment results showed that Erzhiwan mainly affected glycerophospholipid metabolic pathway， PI3K-Akt pathway， cyclic guanosine monophosphate（cGMP）-protein kinase G（PKG） pathway and other metabolic pathways. Compared with the sham operation group， the levels of phosphatidylcholine（PC， 11 types） and phosphatidylethanolamine（PE， 5 types） in mouse myocardial tissue of the model group were increased（P<0.05， P<0.01）， and the mRNA and protein expressions of PI3K and p-Akt were decreased（P<0.05， P<0.01）. Compared with the model group， the levels of PC（11 types） and PE（5 types） were decreased（P<0.05， P<0.01） in myocardial tissue of Erzhiwan group， the mRNA and protein expressions of PI3K and p-Akt were elevated（P<0.01）. ConclusionErzhiwan can alleviate the pathological injury of myocardium in ovariectomized mice， improve the abnormal cardiac function， improve lipid metabolism disorder， and reduce the levels of myocardial injury markers and inflammatory factors， which involves a number of signaling and metabolic pathways in the heart， among which glycerophospholipid metabolism pathway and PI3K/Akt pathway may have key roles.