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 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.

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 investigate the clinical efficacy of integrating pharmacists into family health teams （FHTs） for long-term medication therapeutical management （MTM） in stroke patients， and empirically evaluate the service model. METHODS A pharmacist team， jointly established by clinical and community pharmacists from the Affiliated Suzhou Hospital of Nanjing Medical University （hereinafter referred to as “our hospital”）， developed a pharmacist-supported MTM model integrated into FHTs. Using a prospective randomized controlled design， 170 stroke patients discharged from our hospital （July 2022-December 2023） and enrolled in FHTs at Suzhou Runda Community Hospital were randomly divided into trial group （88 cases） and control group （82 cases） according to random number table. The control group received routine FHTs care （without pharmacist involvement in the team collaboration）， while the trial group xhz8405@126.com received 12-month MTM services supported by pharmacists via an information platform. These services specifically included innovative interventions such as personalized medication regimen optimization based on the MTM framework， dynamic medication adherence management， medication safety monitoring， a home medication assessment system， and distinctive service offerings. Outcomes of the 2 grousp were compared before and after intervention， involving medication adherence （adherence rate， adherence score）， compliance rates for stroke recurrence risk factors [blood pressure， low-density lipoprotein cholesterol （LDL-C）]， and incidence of adverse drug reactions （ADR）. RESULTS After 12 months， the trial group exhibited significantly higher medication adherence rates， improved adherence scores， higher compliance rates for blood pressure and LDL-C targets compared to the control group （P＜0.05）. The incidence of ADR in the trial group （4.55%） was significantly lower than that in the control group （8.11%）， though the difference was not statistically significant （P＞ 0.05）. CONCLUSIONS Pharmacist involvement in FHTs to deliver MTM services significantly enhances medication adherence and optimizes risk factor for stroke recurrence， offering practical evidence for advancing pharmaceutical care in chronic disease management under the family doctor system.

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.

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.

BACKGROUND: At present, biopsy is essential for the diagnosis of prostate cancer (PCa) before radical prostatectomy (RP). However, with the development of prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) and multiparametric magnetic resonance imaging (mpMRI), it might be feasible to avoid biopsy before RP. Herein, we aimed to explore the feasibility of avoiding biopsy before RP in patients highly suspected of having PCa after assessment of PSMA PET/CT and mpMRI. METHODS: Between December 2017 and April 2022, 56 patients with maximum standardized uptake value (SUVmax) of ≥4 and Prostate Imaging Reporting and Data System (PI-RADS) ≥4 lesions who received RP without preoperative biopsy were enrolled from two tertiary hospitals. The consistency between clinical and pathological diagnoses was evaluated. Preoperative characteristics were compared among patients with different pathological types, T stages, International Society of Urological Pathology (ISUP) grades, and European Association of Urology (EAU) risk groups. RESULTS: Fifty-five (98%) patients were confirmed with PCa by pathology, including 49 (89%) with clinically significant prostate cancer (csPCa, defined as ISUP grade ≥2 malignancy). One patient was diagnosed with high-grade prostatic intraepithelial neoplasia (HGPIN). CsPCa patients, compared with clinically insignificant prostate cancer (cisPCa) and HGPIN patients, were associated with a higher level of prostate-specific antigen (22.9 ng/mL vs . 10.0 ng/mL, P = 0.032), a lower median prostate volume (32.2 mL vs . 65.0 mL, P = 0.001), and a higher median SUVmax (13.3 vs . 5.6, P <0.001). CONCLUSIONS It might be feasible to avoid biopsy before RP for patients with a high probability of PCa based on PSMA PET/CT and mpMRI. However, the diagnostic efficacy of csPCa with PI-RADS ≥4 and SUVmax of ≥4 is inadequate for performing a procedure such as RP. Further prospective multicenter studies with larger sample sizes are necessary to confirm our perspectives and establish predictive models with PSMA PET/CT and mpMRI.
Humans ; Male ; Prostatectomy/methods* ; Prostatic Neoplasms/diagnosis* ; Middle Aged ; Aged ; Positron Emission Tomography Computed Tomography/methods* ; Biopsy ; Multiparametric Magnetic Resonance Imaging ; Prostate-Specific Antigen/metabolism*