Farrerol is a dihydroflavone compound extracted from the dried leaves of Rhododendron dauricum belonging to the Ericaceae family. This article systematically reviews relevant research on farrerol both domestically and internationally， summarizes its pharmacological activities and mechanisms of action， and finds that it exerts cardiovascular and cerebrovascular protective effects by maintaining the homeostasis of vascular endothelial function and inhibiting vascular intimal hyperplasia； exerts renal protective effects by activating the nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway to reduce renal damage； exerts liver protective effects by inhibiting the phosphatidylinositol 3-kinase/protein kinase B signaling pathway， activating the Nrf2 signaling pathway， improving insulin resistance， and reducing lipid deposition in the liver； exerts neuroprotective effects by activating the Nrf2/Keap1 signaling pathway， inhibiting the Toll-like receptor 4 and cyclic GMP-AMP synthase/stimulator of interferon genes signaling pathways to reduce neuroinflammatory damage； exerts bone protective effects by promoting tendon formation and inhibiting osteoclast differentiation； exerts antitumor effects by inducing tumor cell apoptosis and weakening tumor cell invasion and metastasis； and exerts antibacterial effects by downregulating α -toxin expression， interfering with β -lactamase/penicillin-binding protein 2a （PBP2a）， and inhibiting PBP2a oligomerization. Currently， research on the pharmacological effects of farrerol is still mainly focused on animal and cell experiments. Further mechanistic studies and clinical trials are needed to provide theoretical basis for its new drug development and clinical application.

Farrerol is a dihydroflavone compound extracted from the dried leaves of Rhododendron dauricum belonging to the Ericaceae family. This article systematically reviews relevant research on farrerol both domestically and internationally， summarizes its pharmacological activities and mechanisms of action， and finds that it exerts cardiovascular and cerebrovascular protective effects by maintaining the homeostasis of vascular endothelial function and inhibiting vascular intimal hyperplasia； exerts renal protective effects by activating the nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway to reduce renal damage； exerts liver protective effects by inhibiting the phosphatidylinositol 3-kinase/protein kinase B signaling pathway， activating the Nrf2 signaling pathway， improving insulin resistance， and reducing lipid deposition in the liver； exerts neuroprotective effects by activating the Nrf2/Keap1 signaling pathway， inhibiting the Toll-like receptor 4 and cyclic GMP-AMP synthase/stimulator of interferon genes signaling pathways to reduce neuroinflammatory damage； exerts bone protective effects by promoting tendon formation and inhibiting osteoclast differentiation； exerts antitumor effects by inducing tumor cell apoptosis and weakening tumor cell invasion and metastasis； and exerts antibacterial effects by downregulating α -toxin expression， interfering with β -lactamase/penicillin-binding protein 2a （PBP2a）， and inhibiting PBP2a oligomerization. Currently， research on the pharmacological effects of farrerol is still mainly focused on animal and cell experiments. Further mechanistic studies and clinical trials are needed to provide theoretical basis for its new drug development and clinical application.

Objective:To investigate the clinical features and prognosis of neuro-Beh?et′s syndrome (NBS) in children.Method:The clinical, brain magnetic resonance imaging and laboratory data of 5 children with NBS diagnosed in the Department of Pediatrics, General Hospital of Ningxia Medical University and Department of Rheumatology and Immunology, Children′s Hospital Affiliated to Capital Institute of Pediatrics from April 2014 to April 2024 were analyzed retrospectively. The follow-up method was retrospective outpatient or inpatient visit to evaluate the treatment effect of NBS.Result:Among the 5 NBS cases, 2 were male and 3 were female. The age of admission ranged from 8 to 17 years, the time from onset to diagnosis was 2 days to 4 years. Two patients had dizziness, headache and convulsions during the treatment of NBS, 1 patient had disturbance of consciousness, 1 patient gradually developed aphasia, limb movement disorder, dysphagia and muscle weakness after 4 years of Behcet's syndrome, and 1 patient had no clinical symptoms. C-reactive protein and erythrocyte sedimentation rate were increased in 4 cases, and cerebrospinal fluid white blood cells and immunoglobulin G were increased in 1 case. Brain magnetic resonance imaging of 4 children showed multiple lesions, including bilateral frontal lobe, occipital lobe, parietal lobe, periventricular and corpus callosum lesions. Brain magnetic resonance imaging showed multiple demyelinating diseases in 1 case, and cervical and thoracic magnetic resonance imaging showed slender cervical and thoracic spinal cord. All patients were treated with corticosteroids combined with immunosuppressants or biological agents. The children were followed up for 6 months to 4 years, and 4 cases had good treatment results, and 1 case finally gave up treatment.Conclusions:The clinical manifestations of NBS are not specific, and brain magnetic resonance imaging shows that the lesion location and morphology are not specific. NBS children treated with corticosteroids combined with immunosuppressive agents or biological agents have a good prognosis.

Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

Objective To investigate the differences in oral and gut microbiota composition among children aged 3-5 years with varying body mass index(BMI)levels in Urumqi,and to provide a scientific basis for early microbiological warning and intervention strategies for childhood obesity.Methods A total of 40 children aged 3-5 years were enrolled.Based on their BMI percentiles,the participants were divided into 4 groups,including the underweight,normal weight,overweight,and obesity groups(n=10 per group).A total of 80 saliva and fecal samples were collected.Microbial community structures were analyzed using 16S rRNA gene sequencing,followed by bioinformatics and statistical analyses.Results Oral microbiota richness,as measured by Chao1 and observed-species indices,differed significantly among the four groups(P=0.004 7 and P=0.005 4,respectively),whereas no significant difference in gut microbiota diversity was observed(P>0.05).Beta diversity analysis revealed a distinct separation in oral microbiota between the normal-weight weight and other groups.At the genus level,obese children exhibited increased abundance in oral Leptotrichia,underweight children showed enrichment of gut Bacteroides,and overweight children showed increased abundance in gut Faecalibacterium and Blautia.Linear discriminant analysis effect size(LEfSe)analysis identified multiple biomarkers,including Prevotellaceae in the oral microbiota of normal-weight children,Catonella in the oral microbiota of obese children,and Clostridiales,Lachnospiraceae,and Hungatella in the gut microbiota of underweight children.Metabolic pathways related to lipopolysaccharide synthesis and amino acid metabolism were significantly upregulated in the microbiota of overweight and obese children.Conclusion Significant differences are observed in the oral and gut microbiota composition among children aged 3-5 years of different BMI levels in Urumqi.Oral microbiota show greater sensitivity to BMI changes.Specific genera,such as Catonella,Leptotrichia,and Prevotellaceae,may be involved in the development of obesity.The microbiota metabolic pathways in children with high BMI are characterized by the core features of inflammation activation and lipid metabolism dysregulation.

Objective To explore the risk factors for 28-day mortality of sepsis-associated acute kidney injury(SA-AKI)patients and to develop a nomogram risk prediction model.Methods A retrospective cohort study was conducted,involving 184 patients with SA-AKI admitted to the intensive care unit(ICU)of the 940th Hospital of Joint Logistic Support Force of PLA between January 2017 and December 2022.Patients were categorized into survival(n=135)and non-survival(n=49)groups based on 28-day mortality.Clinical data were collected,and statistically significant risk factors were preliminarily screened.Multivariate stepwise logistic regression analysis was performed to identify independent risk factors for 28-day mortality of SA-AKI patients.A nomogram predictive model was constructed using these factors,and internally validated with the Bootstrap method.The receiver operating characteristic curve(ROC curve)was drawn,and the area under the ROC curve(AUC)was calculated to verify the predictive value and accuracy of the model.Results The 28-day mortality rate among 184 SA-AKI patients was 26.6％(49/184).Multivariate stepwise logistic regression analysis identified multiple organ dysfunction syndrome(MODS)(OR=16.393,95％CI 4.317-62.254,P＜0.001),high acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(OR=1.097,95％CI 1.036-1.161,P=0.002),low oxygenation index(OR=0.992,95％CI 0.986-0.998,P=0.015),low neutrophil count(OR=0.912,95％CI 0.860-0.968,P=0.002)and low fibrinogen concentration(OR=0.733,95％CI 0.549-0.978,P=0.034)as independent risk factors.The prediction model equation was P=1/1+e-logit(P),logit(P)=-1.626+2.797×MODS+0.092×AP ACHE Ⅱ+(-0.311)×fibrinogen+(-0.092)×neutrophil count+(-0.008)×oxygenation index.Internal validation with 1000 Bootstrap resamples showed high consistency between predicted and actual values.ROC analysis showed an AUC of 0.911(95％CI 0.868-0.955,P＜0.05)for the model,with 93.9％sensitivity and 78.5％specificity at a cut-off of 0.194.The Hosmer-Lemeshow test confirmed good calibration(P=0.62),and decision-making curve analysis demonstrated clinical utility within the high-risk threshold range(0.1-0.9).Conclusions MODS,high APACHE Ⅱ score,low oxygenation index,low neutrophil count,and low fibrinogen concentration are independent risk factors for 28-day mortality in SA-AKI patients.The developed nomogram risk prediction model may provide important guidance for predicting 28-day mortality in SA-AKI patients.

Objective To screen metabolic core genes in colon cancer based on machine learning algorithms and analyze their functional mechanisms.Methods Data were obtained from The Cancer Genome Atlas(TCGA)database and the Gene Expression Omnibus(GEO)database.The TCGA co-hort included 375 tumor samples and 32 adjacent normal tissue samples,while the GSE39582 cohort comprised 419 tumor samples.Univariate Cox regression analysis combined with random forest,sup-port vector machine recursive feature elimination(SVM-RFE),and least absolute shrinkage and selec-tion operator(LASSO)regression algorithms were employed to screen for metabolic core genes.Re-ceiver operating characteristic(ROC)curves were plotted,and the area under the curve(AUC)was used to evaluate the predictive efficacy of the core genes.Real-time fluorescent quantitative polymerase chain reaction(qRT-PCR)and immunohistochemistry(IHC)methods were adopted to detect the ex-pression of the core genes.The core genes were knocked down to explore their roles in colon cancer.Results Three core genes,namely CPT2,SCP2 and NR3C2,were screened based on machine learning algorithms.According to the comparison results of the AUCs of the ROC curves,NR3C2 exhibited the best predictive efficacy.qRT-PCR detection results showed that NR3C2 mRNA was lowly ex-pressed in colon cancer cell lines;IHC detection results revealed that NR3C2 was lowly expressed in colon cancer tissues.Knocking down NR3C2 significantly promoted the proliferation and migration of colon cancer cells.Conclusion NR3C2 is identified as a core metabolic inhibitory gene in colon cancer by cross-applying three machine learning algorithms,which may provide a new strategy for metabolic targeted therapy.

ObjectiveEndothelial cell dysfunction being the core link. This study explores the molecular mechanism of Danshen Tongluo formula in treating coronary artery disease-dominated panvascular disease with endothelial cell changes as the core through animal experiments and single-cell transcriptome sequencing. MethodsA rat model of coronary artery disease-dominated panvascular disease was established by ligating the left anterior coronary artery. Rats were randomized into a blank group， a model group， and a Danshen Tongluo formula （28 mg·kg^-1·d^-1） group. The efficacy was evaluated by examining the cardiac ultrasound， determination of the plasma level of N-terminal pro-brain natriuretic peptide， and pathological staining. After single-cell sequencing， SingleR package， public datasets， and related literature were used for annotation of the cells. Cell chat was used for intercellular communication and ligand-receptor analysis， and scmetabolism was used for metabolic analysis of endothelial cells. ResultsAnimal experiments showed that Danshen Tongluo formula reduced the N-terminal pro-brain natriuretic peptide （ NT-proBNP ） level （P<0.05）， ameliorated myocardial cell damage and fibrosis， and increase left ventricular ejection fractions （LVEF） in the rat model of heart failure after myocardial infarction（P<0.05）. Single-cell sequencing results showed that Danshen Tongluo formula increased the proportion of arterial endothelial cells， venous endothelial cells， and capillary-arterial endothelial cells， while reducing the proportion of capillary-venous endothelial cells. In addition， this formula increased the interaction intensity of endothelial cells with cardiomyocytes and M1 macrophages and reduced the interaction intensity of endothelial cells with fibroblasts and T cells. Danshen Tongluo formula upregulated CXCL12-CXCR4 signaling in endothelium-B cells and Ptprm-Ptprm signaling in endothelial endothelial cells， while downregulating Mif-（CD74⁺CXCR44） signaling in endothelium-M1 macrophages and Mif-（CD74⁺CD44） signaling in endothelium-M2 macrophages. It reduced the citric acid cycle， oxidative phosphorylation， and glycolysis and increased the glycolysis/oxidative phosphorylation ratio in endothelial cells. GO and KEGG enrichment analysis showed that arterial endothelial cells， venous endothelial cells， and venous capillary endothelial cells can all regulate oxidative phosphorylation， cell adhesion molecules， and tyrosine metabolism. Lymphatic endothelial cells regulate immunity and vascular constriction to participate in the metabolism of various amino acids and fatty acids. ConclusionDanshen Tongluo Formula can ameliorate coronary artery disease-dominated panvascular disease by changing the composition of endothelial cells and regulating the communication between myocardial endothelial cells and non-endothelial cells.

AIM: To evaluate the efficacy of 0.05% cyclosporine eye drops in promoting ocular surface recovery following pterygium excision combined with autologous corneal limbal stem cell transplantation.METHODS:This study is a prospective randomized controlled trial, selecting 104 cases(104 eyes)of primary pterygium with monocular onset admitted to Baoding First Central Hospital from September 2023 to September 2024 as the initial sample. The patients were divided into an experimental group and a control group using a random number table method, with 52 eyes in each group. Both groups underwent pterygium excision and autologous corneal limbal stem cell transplantation performed by the same surgeon. The control group received tobramycin dexamethasone eye drops combined with 0.3% sodium hyaluronate eye drops, while the experimental group was additionally treated with 0.05% cyclosporine eye drops. The corneal epithelial repair status, ocular surface function [corneal fluorescein staining(FL)score, Schirmer I test(SIt), break-up time of tear film(BUT)] at preoperative and postoperative time points(1 and 3 mo), and dry eye symptoms [ocular surface disease index(OSDI), standard patient evaluation of eye dryness(SPEED)scores]. Additionally, the recurrence rate and postoperative complications were recorded.RESULTS: During the follow-up period, there was 1 case of loss to follow-up in both the experimental group and the control group, with lost to follow-up rate of 1.9%. Finally, 51 cases in each group completed all followed-up. No statistically significant difference was observed in preoperative general characteristics of patients between the two groups(P>0.05), and there was no statistically significant difference in corneal epithelial repair time or suture removal time(all P>0.05). At 1 mo postoperatively, the SIt and BUT decreased in both groups compared to preoperative levels, with the experimental group showing higher values than the control group(all P<0.05). FL scores increased compared to preoperative levels but were lower in the experimental group(all P<0.05). By 3 mo, the SIt, BUT and FL score of the control group were not statistically different from preoperative levels(all P>0.05), whereas the experimental group showed increased SIt and BUT, which were higher than the control group, and reduced FL scores, and decreased FL scores, which was lower than the control group(all P<0.05). At 3 mo postoperatively, both groups showed increased SIt and BUT compared to 1-month values, with the experimental group outperforming the control group(all P<0.05). FL scores decreased in both groups compared to 1-month values, with the experimental group maintaining lower scores(P<0.05). At 1 mo postoperatively, OSDI and SPEED scores were higher than preoperative levels, with the experimental group higher than the control group(all P<0.05); at 3 mo postoperatively, the scores returned to preoperative level(all P>0.05), and the OSDI and SPEED scores of the control group increased and higher than those of the experiment group(all P<0.05); at 3 mo postoperatively, the OSDI and SPEED scores decreased when compared with 1-month preoperative level, and the experiment group was lower than the control group(all P<0.05). There was no difference in the total incidence of postoperative complications between the two groups(P>0.05). According to the statistics of 6 mo follow-up after operation, there was no recurrence in the experimental group, and the recurrence rate was 11.8% in the control group(P<0.05).CONCLUSION: Adjunctive use of 0.05% cyclosporine eye drops after pterygium excision with limbal stem cell transplantation enhances ocular surface recovery, reduces dry eye symptoms, and lowers recurrence rates without compromising corneal epithelial healing or safety.