ObjectiveTo integrate network pharmacology prediction with multi-level experimental verification methods， and to explore in depth the therapeutic efficacy and potential mechanism of luteolin in treating gout. MethodsDatabases were used to obtain potential pharmacodynamic targets of luteolin. Protein-protein interaction （PPI） network construction and network pharmacology analysis techniques were used to screen key core targets of luteolin in gout treatment. Further biological function enrichment analysis and signaling pathway analysis were performed on these targets. Molecular docking simulation was used to calculate the binding energy between luteolin and potential core targets， clarifying the strength of their interactions. In the in vivo experiment for hyperuricemia， 48 mice were randomly divided into a blank group， a model group， an allopurinol group （5 mg·kg^-1）， and low-dose （10 mg·kg^-1）， medium-dose （30 mg·kg^-1）， and high-dose （90 mg·kg^-1） luteolin groups. For the first three days， the blank and model groups were gavaged with an equal volume of normal saline， while the allopurinol group and luteolin groups were gavaged with corresponding drugs. From day 4 onwards， modeling was performed by intraperitoneal injection at 12：00 daily （normal saline for the blank group， and oxonic acid potassium-hypoxanthine mixture for other groups， with 300 mg·kg^-1 for each group）. Gavage intervention was administered at 18：00 daily （normal saline for the blank/model groups， and corresponding drugs for the treatment groups） until day 7. After sampling， levels of serum uric acid （UA）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） were measured. Levels of xanthine oxidase （XO） in the liver and kidney， ATP-binding cassette transporter G2 （ABCG2） and malondialdehyde （MDA） in the kidney， and superoxide dismutase （SOD） in the liver were determined. Renal HE staining was also performed. In the pharmacodynamic study of gouty arthritis， 36 rats were randomly divided into a blank group， a model group， a colchicine group （0.315 mg·kg^-1）， and low-dose （7 mg·kg^-1）， medium-dose （21 mg·kg^-1）， and high-dose （63 mg·kg^-1） luteolin groups. The model was established by vertically injecting 100 µL of 25 g·L^-1 monosodium urate suspension into the posterior lateral aspect of the right ankle joint （the blank group was injected with an equal volume of normal saline）， with repeated injections every two days for reinforcement. From day 2 after modeling， daily gavage administration was performed （normal saline for the blank/model groups， and corresponding drugs for the treatment groups） for a total of 16 days. During the experiment， ankle swelling and pain threshold were measured regularly. After sampling， levels of serum tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） were determined. Ankle joints were subjected to HE， Masson， and safranin O-fast green staining， and HE staining was also performed on ankle synovial tissue and various organs. Western blot was used to determine the expression levels of key proteins in gout-related signaling pathways. ResultsNetwork pharmacology analysis predicted that luteolin may regulate over 20 core targets， such as XO， ABCG2， nuclear factor erythroid 2-related factor 2 （Nrf2）， and SOD， through acting on signaling pathways including NF-κB， phosphoinositide 3-kinase/protein kinase B （PI3K/Akt）， and ABC transporters， thereby affecting uric acid metabolism and inflammatory responses. In the hyperuricemia model， compared with the blank group， the model group showed significantly increased serum UA level， liver and kidney XO activity， renal ABCG2 expression， and liver SOD activity （P<0.01）. Compared with the model group， the high-dose luteolin group significantly reduced serum UA level （P<0.01）， inhibited liver and kidney XO activity （P<0.01）， and significantly increased renal ABCG2 expression and liver SOD activity （P<0.01）， effectively alleviating renal oxidative stress damage and improving renal histopathological status. In the gouty arthritis model， compared with the blank group， the model group showed significant ankle swelling， decreased pain threshold， and significantly increased levels of IL-6， IL-1β， and TNF-α in serum and synovial tissue （P<0.01）. The high-dose luteolin group significantly reduced ankle swelling， prolonged hot plate pain threshold， effectively decreased the levels of the above inflammatory factors in serum and synovial tissue （P<0.01）， and significantly improved ankle pathological damage， showing good analgesic and anti-inflammatory effects. Western blot results further confirmed that luteolin significantly upregulated Nrf2 protein expression and downregulated XO and nucleotide-binding oligomerization domain （NOD）-like receptor protein 3 （NLRP3） expression in animals. ConclusionLuteolin can improve symptoms of hyperuricemia and gouty arthritis， and its potential mechanism may be related to inhibiting XO activity， increasing ABCG2 and SOD levels， and regulating Nrf2-mediated oxidative stress-related pathways.

Objective: To explore new therapeutic strategies for periodontitis, this study prepared extracellular vesicles (EVs) derived from human umbilical cord mesenchymal stem cells (hUC-MSCs) loaded with saikosaponin D (SSD) and evaluated their efficacy in a mouse model of periodontitis. Methods: This study was approved by the Medical Ethics Committee and the Laboratory Animal Ethics Committee of the unit. hUC-MSCs at logarithmic growth phase were seeded into 96 well plates and then treated with various concentrations of SSD for 24 hours. The CCK-8 assay was used to determine the SSD concentration that preserves hUC-MSC viability. Flow cytometry (FCM) assessed SSD-induced apoptosis in hUC-MSCs and determined drug loading and loading efficiency. Nanoparticle tracking analysis (NTA) and transmission electron microscopy (TEM) characterized the morphology and size of hUC-MSCs-EVs and hUC-MSCs-SSD-EVs. C57BL/6J mice were divided into five groups with six mice per group: control group, periodontitis model group (PD), PD+SSD group (2 mg/kg), PD+hUC-MSCs-EVs group (10 μg/μL) and PD+hUC-MSCs-SSD-EVs group (10 μg/μL). Administration was performed 3 times a week for 4 consecutive weeks. Micro-CT and hematoxylin-eosin (HE) staining evaluated alveolar bone resorption in periodontal tissues of a mouse model of periodontitis. RT-qPCR measured inflammatory cytokine expression in periodontal tissues of a mouse model of periodontitis. Immunofluorescence analyzed macrophage M1/M2 polarization and runt-related transcription factor 2 (RUNX2) protein expression in periodontal tissues of a mouse model of periodontitis. Results: The CCK-8 assay showed that 10 μmol/L SSD had little effect on hUC-MSCs viability (P>0.05). FCM confirmed the successful loading of SSD into EVs with a loading efficiency of 11.40%. TEM and NTA revealed that hUC-MSCs-SSD-EVs presented round or oval membranous structures with diameters ranging from 200 to 300 nm. Micro CT and HE staining showed that, compared with the PD group, the distance from cementoenamel junction to alveolar bone crest (CEJ-ABC) was markedly shortened (P<0.01）.The alveolar bone of periodontitis‑model bone volume fraction (BV/TV) and trabecular number (Tb.N) were significantly elevated in the PD+hUC-MSCs-SSD-EVs group (P<0.01). RT-qPCR and IF results showed that hUC-MSCs-SSD-EVs in periodontal tissues markedly downregulated the expression of pro-inflammatory cytokines including interleukin-1β, interleukin-6, tumor necrosis factor-α, interleukin-12 and interleukin-22 (P<0.01), upregulated the expression of the anti-inflammatory factor interleukin-10 (P<0.01), promoted the polarization of macrophages from the M1 phenotype to the M2 phenotype, and elevated the protein expression level of RUNX2 (P<0.01). Conclusion hUC-MSC-SSD-EVs effectively alleviated inflammatory responses in a mouse model of maxillary periodontitis and reduced alveolar bone loss, providing a new idea for the treatment of periodontitis.

Gastric cancer,which has high incidence and mortality rates worldwide,faces numerous challenges in its diagnosis and treatment.In recent years,the combination of multi-omics technology and artificial intelligence(AI)algorithms has brought new hope for the diagnosis and treatment of this malignant disease.Multi-omics technology encompasses the fields of genomics,transcriptomics,proteomics,meta-bolomics,and radiomics,and can comprehensively reveal the biological characteristics of gastric cancer.AI algorithms,particularly machine-and deep-learning methods,possess powerful data integration,feature extraction,and pattern recognition capabilities,enabling the extrac-tion of the most valuable information from vast and complex multi-omics data.Such technology can aid in the early screening,precise dia-gnosis,personalized treatment,and prognostic assessment of gastric cancer.In this article,research progress on AI-based multi-omics tech-nology for the diagnosis and treatment of gastric canceris reviewed,and current applications of such technology at different diagnostic and therapeutic stages,the challenges faced,and future development directions are discussed,with the aim of providing new ideas and meth-ods for the diagnosis and treatment of this malignant disease.

Calcitonin-negative medullary thyroid carcinoma(CNMTC)is a rare subtype of medullary thyroid carcinoma,characterized by normal serum calcitonin levels,which often leads to misdiagnosis or missed diagnosis.The pathogenesis of CNMTC remains unclear and may involve impaired secretion mechanisms or assay-related false negatives.Diagnostic approaches include ultrasound-guided fine needle aspiration cytology,serum CEA and ProGRP measurements,and RET gene testing.Surgical resection remains the mainstay of treatment,while neoadjuvant therapy may be considered in selected cases.This review summarizes recent advances in the understanding,diagnosis,treatment,and prognosis of CNMTC,aiming to provide clinical guidance for better management of this challenging condition.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.

Objective To predict the potential suitability distribution of Vitex negundo in China;To analyze the key environmental factors influencing its suitability distribution.Methods Based on the geographic distribution data of Vitex negundo from 196 sites across China and 55 environmental variables,the Maximum Entropy(MaxEnt)model and ArcGIS 10.2 were employed to predict the potential distribution of suitable habitats for Vitex negundo in China.Results The constructed MaxEnt prediction model demonstrated high reliability.The primary environmental factors influencing the suitable distribution of Vitex negundo included the average temperature from June to October,precipitation in April and November,the mean temperature of the warmest season,soil type,and vegetation type.The predicted suitable habitats for Vitex negundo would be widely distributed,primarily concentrated in Jiangxi,central and southern Anhui,northwestern Zhejiang,eastern and northeastern Hunan,as well as eastern and southeastern Hubei.Conclusion The predicted potential distribution of Vitex negundo in China can provide a valuable reference for the conservation and sustainable utilization of this medicinal resource.

Gastric cancer,which has high incidence and mortality rates worldwide,faces numerous challenges in its diagnosis and treatment.In recent years,the combination of multi-omics technology and artificial intelligence(AI)algorithms has brought new hope for the diagnosis and treatment of this malignant disease.Multi-omics technology encompasses the fields of genomics,transcriptomics,proteomics,meta-bolomics,and radiomics,and can comprehensively reveal the biological characteristics of gastric cancer.AI algorithms,particularly machine-and deep-learning methods,possess powerful data integration,feature extraction,and pattern recognition capabilities,enabling the extrac-tion of the most valuable information from vast and complex multi-omics data.Such technology can aid in the early screening,precise dia-gnosis,personalized treatment,and prognostic assessment of gastric cancer.In this article,research progress on AI-based multi-omics tech-nology for the diagnosis and treatment of gastric canceris reviewed,and current applications of such technology at different diagnostic and therapeutic stages,the challenges faced,and future development directions are discussed,with the aim of providing new ideas and meth-ods for the diagnosis and treatment of this malignant disease.

Objective To analyze the status of 2 649 suspected pertussis patients in Xi'an and the changes in laboratory diagnostic indi-cators.Methods 2 649 patients with suspected pertussis who visited the Second Affiliated Hospital of Xi'an Jiaotong University from June 2023 to May 2025 were collected as the research subjects.Nasopharyngeal swabs were collected from the patients,and pertussis nucleic acid was detected by polymerase chain reaction(PCR)-fluorescence probe method.Laboratory diagnostic indicators were an-alyzed.Results Among the 2 649 samples tested,250 were positive for pertussis nucleic acid,with a positive detection rate of 9.44%.The detection rate in male patients was 9.37%(127/1 356),and in female patients was 9.51%(123/1 293),with difference no was statis-tically significant between the two groups(χ2=0.019,P=0.894).There was a statistically significant difference in the positive detection rate among different age groups(χ2=46.473,P<0.05),with the highest positive detection rate in the 7～19 age group(14.98%).The prevalence of pertussis showed a seasonal characteristic with a peak from April to September.21.2%(53/250)of the positive patients were mixed infections.In the 1～14 age group,the white blood cell count(WBC),lymphocyte percentage(LYMP%),and lymphocyte count(LYMP#)in the pertussis infection group were higher than those in the Mycoplasma pneumoniae(MP)infection group(t=10.179,5.819,8.614)and the Respiratory syncytial virus(RSV)infection group(t=16.570,2.618,7.185),and the differences were statistically significant(all P<0.01),respectively.In the＞14 age group,the LYMP%and LYMP#in the pertussis infection group were higher than those in the MP infection group(t=3.275,2.319)and the RSV infection group(t=2.401,4.617),and the differences were statistically significant(all P<0.05),respectively.Conclusion The pertussis infection status in Xi'an area from 2023 to 2025 shows significant char-acteristics in terms of age,season and laboratory test results.It is necessary to further improve the pertussis surveillance system in this area,optimize the clinical diagnosis and treatment process and strengthen the vaccination work of pertussis vaccine.

Objective To analyze the disease burden of chronic kidney diseases (CKD) attributed to high body mass index (BMI) in China from 1992 to 2021 and predict the disease burden for the next decade, and to provide evidence for the prevention and treatment of CKD. Methods Using the Global Burden of Disease (GBD) database and the Joinpoint model, the average annual percentage rate change (AAPC) of the mortality rate and disability-adjusted life year (DALY) rate was calculated to describe and analyze the CKD disease burden attributed to high BMI in China from 1992 to 2021. The ARIMA model was employed to predict and analyze the change trend of the CKD disease burden. Results From 1992 to 2021, the mortality rate and DALY rate attributed to high BMI-induced chronic kidney disease showed an upward trend. Compared to 1992, the attributed number of deaths increased by 324.38%, and DALYs increased by 268.56%; the mortality rate increased by 64.00%, and the DALY rate grew by 51.62%. From 1992 to 2021, the mortality rate and DALY rate for males were lower than those for females, but the growth rate for males exceeded that of females. From 1992 to 2021, the mortality rate and DALY rate of chronic kidney disease attributed to high BMI in China increased with age. The average annual change rate of chronic kidney disease attributed to high BMI in China from 1992 to 2021 (mortality rate: 1.40 per 100,000 (95% CI: 1.04–1.76), DALY rate: 1.43 per 100 000 (95% CI: 1.17–1.70)) was higher than thHuaiyin Normal University, Huai'anher social demographic index (SDI) regions. The ARIMA model predicted that the age-standardized mortality rate increased from 2.91 per 100 000 in 2022 to 3.05 per 100 000 in 2026, and the age-standardized DALY rate increased from 69.65 per 100 000 in 2022 to 73.58 per 100 000 in 2026. Conclusion Chronic kidney disease attributed to high BMI in China is on the rise, and it will continue to grow in the future. The focus of CKD prevention and control should be on males and the elderly, while active measures should be taken to reduce the occurrence and progression of chronic kidney disease.

Cholangiocarcinoma has an extremely poor prognosis, and the efficacy of existing treatment methods is limited. In the highly desmoplastic tumor microenvironment of cholangiocarcinoma, cancer-associated fibroblasts (CAFs) are the core regulators. Their significant heterogeneity and complex intercellular crosstalk network are not only key factors driving cholangiocarcinoma progression and drug resistance, but also highly promising therapeutic targets. This review focuses on the characteristics of CAFs in cholangiocarcinoma and the key crosstalk mechanisms between CAFs and tumor cells as well as immune cells, and summarizes the research progress and limitations of current therapeutic strategies targeting CAFs.