BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P＜0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P＜0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P＜0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.

BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P＜0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P＜0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P＜0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.

Objective To evaluate the performance of lightweight Chinese large language models (LLMs) in answering specialized lung cancer questions, and to explore the impact of retrieval-augmented generation (RAG) on model performance. Methods Eleven lightweight Chinese LLMs with parameter sizes ranging from 7B to 32B were included. A lung cancer-specific evaluation dataset consisting of 200 questions [100 A1-type (basic knowledge) and 100 A2-type (clinical case) questions], constructed based on clinical guidelines and thoracic surgery textbooks, was used for assessment. Model performance was evaluated under two conditions (with and without RAG). Accuracy was used to assess model performance, and response latency was recorded to reflect inference efficiency. An accuracy–latency scatter plot was constructed for descriptive analysis of overall model performance. Results All models successfully completed the evaluation. With the introduction of RAG, the overall average accuracy improved from 61.68% to 76.36%. Smaller models demonstrated the most significant improvement (e.g., the accuracy of DeepSeek-7B increased from 32.50% to 60.00%, P<0.001). The average response latency increased from 12.58 s to 13.80 s. The Qwen3 series showed the best overall performance, and Qwen3-32B achieved the highest accuracy under both conditions (76.50% and 84.00%, respectively). After RAG integration, performance differences among model families were markedly reduced. Based on the accuracy-latency trade-off, Qwen3-32B achieved the best balance between accuracy and response latency under the baseline condition, whereas Qwen3-14B demonstrated superior overall performance in terms of accuracy, latency, and computational cost after RAG integration. Conclusion The integration of RAG technology improves the ability of lightweight Chinese LLMs to answer specialized lung cancer questions. Under the dual practical constraints of limited computational resources and medical data security requirements, the "lightweight model+RAG" technical framework may represent a promising deployment solution.

Objective To explore the short-term prognosis and risk factors for in-hospital mortality in patients with fulminant myocarditis induced refractory cardiogenic shock(FM-RCS)receiving veno-arterial extracorporeal membrane oxygenation(VA-ECMO)treatment,and to construct an early prognosis prediction model using relevant indicators.Methods A total of 61 FM-RCS patients treatment by VA-ECMO in the department of intensive care unit of the Second Affiliated Hospital of Zhengzhou University from January 2017 to February 2024,excluding 15 cases with age less than 18 years and 3 cases with ECMO treatment duration less than 24 hours,a total of 43 patients were finally included.Participants were stratified into survival(n=19)and mortality(n=24)groups according to discharge outcomes.Demographic data,chronic disease history,early laboratory indicators,left ventricular function indicators,and basic reference values of hemodynamics were systematically compared between the two groups.Variable selection was performed using LASSO regression,followed by multivariate COX regression analysis to screen independent risk factors for in-hospital mortality in ECMO-treatment FM-RCS patients.A nomogram prediction model was subsequently developed using R software and validated through calibration curves,concordance index(C-index),and receiver operator characteristic curve(ROC curve)analysis.Results The overall survival rate of the 43 enrolled patients was 44.2%,with 19 cases in the survival group and 24 cases in the mortality group.In early laboratory indicators,the survival group exhibited significantly lower levels of initial lactic acid(Lac),24-hour Lac(Lac 24 h),24-hour MB isoenzyme of creatine kinase(CK-MB 24 h),24-hour cardiac troponin T(cTnT 24 h),24-hour total bilirubin(TBil 24 h),24-hour serum creatinine(SCr 24 h),and lactate albumin ratio(LAR)compared to the mortality group[initial Lac(mmol/L):2.7(1.3,7.6)vs.9.2(5.9,14.0),Lac 24 h(mmol/L):2.4(2.0,3.6)vs.5.4(3.3,9.2),CK-MB 24 h(U/L):58.0(28.0,115.0)vs.167.7(68.5,280.3),cTnT 24 h(μg/L):0.53(0.37,2.41)vs.3.92(3.10,8.86),TBil 24h(μmol/L):18.3(9.9,37.8)vs.40.2(24.6,67.0),SCr 24 h(μmol/L):90.63±42.49 vs.177.76±70.76,LAR:0.09(0.04,0.23)vs.0.31(0.20,0.38),all P<0.05],serum albumin(Alb)levels were significantly higher in the survival group[g/L:36.0(31.9,39.2)vs.31.7(26.4,34.4),P<0.05].The mortality group had a higher incidence of malignant arrhythmias[66.7%(16/24)vs.31.6%(6/19),P<0.05].The LASSO regression model identified four non-zero coefficient variables-Lac 24 h,CK-MB 24 h,cTnT 24 h,and SCr 24 h-which were included in the subsequent multivariate COX regression analysis.The results demonstrated that Lac 24 h[hazard ratio(HR)and 95%confidence interval(95%CI)was 1.186(1.074-1.310),P<0.001]and cTnT 24 h(HR=1.230,95%CIwas 1.078-1.404,P=0.002)were independent risk factors for in-hospital mortality in VA-ECMO treatment FM-RCS patients.A predictive model constructed using these two indicators showed a C-index of 0.812,area under the curve(AUC)=0.941,with 91.7%sensitivity and 94.7%specificity.Furthermore,compared to the survival group,the mortality group exhibited significantly higher incidences of acute kidney injury[91.7%(22/24)vs.36.8%(7/19)]and hypoxic-ischemic encephalopathy[62.5%(15/24)vs.10.5%(2/19),both P<0.05].The mortality group also required greater transfusion volumes[mL:3 800(1 420,8 515)vs.1 200(400,3 020),P<0.05],but had shorter total hospitalization durations[days:7(3,13)vs.23(20,44),P<0.05].Conclusion For FM-RCS patients receiving VA-ECMO treatment,Lac 24 h and cTnT 24 h after ECMO initiation are independent predictors of in-hospital mortality.Clinicians should be vigilant about poor prognosis in FM-RCS patients with high Lac 24 h hours(>2.5 mmol/L)and cTnT 24 hours(>3.01 μg/L)after ECMO treatment.

OBJECTIVE To investigate the distribution and drug resistance of multidrug-resistant bacteria in the neonatal intensive care unit of a three-A children's hospital in Henan Province,and to provide reference for ational drug use in clinical practice.METHODS Clinical specimens from hospitalized newborns in neonatal intensive care unit from a three-A children's hospital from Jan.1,2019 to Dec.31,2023 were subjected to etiological exam-ination and drug sensitivity test,and to analyze the distribution and drug resistance of multidrug-resistant bacteri-a in hospitalized newborns.RESULTS During the 5-year period,1139 strains of multidrug-resistant bacteria were i-solated,including 229 gram-positive bacteria(20.11％)and 910 gram-negative bacteria(79.89％).There were 92 strains of methicillin-resistant Staphylococcus aureus(MRSA)(accounting for 8.08％),57 strains(accounting for 5.00％)of methicillin-resistant coagulase-negative Staphylococcus epidermidis and 28 strains(accounting for 2.46％)of methicillin-resistant coagulase-negative human Staphylococcus.370 strains(accounting for 32.48)of carbapenem-resistant Klebsiella pneumoniae(CRKP),268 strains(accounting for 23.53％)of extenspectrum β-lactamase-producing Escherichia coli and 85 strains(accounting for 7.46％)of K.pneumoniae,there were 767 sputum specimens(67.34％),160 blood specimens from peripheral intravenous puncture and central venous cath-eterization(PICC)(14.05％),63 bronchoalveolar lavage fluid specimens(5.53％),29 secretion specimens(eye and wound secretions)(2.54％),and 120 other specimens(10.54％).K.pneumoniae and E.coli producing su-per-broad spectrum β-lactamase,CRKP and MRSA were the main drug-resistant bacteria.CONCLUSION The sit-uation of drug resistance in neonatal intensive care unit is serious,therefore monitoring bacterial resistance should be strengthened according to the clinical laboratory results,and antibiotics should be applied rationally.

Objective:To assess the physical activity levels(PA)and patterns among older adults in rural areas, as well as to evaluate the association between PA levels and the conditions of sarcopenia and frailty.Methods:A cross-sectional survey was conducted involving 690 rural individuals aged 60 and above.Data on socio-demographic characteristics were collected, while Appendicular Skeletal Muscle Mass Index(ASMI)and grip strength were measured.The Physical Activity Scale for the Elderly(PASE)was employed to evaluate PA levels.Based on their PASE scores, participants were categorized into three groups: low PA level, medium PA level, and high PA level.Sarcopenia was defined according to the 2019 criteria established by the Asian Working Group for Sarcopenia(AWGS), and frailty status was assessed using the Frail Scale.Results:Among the study sample, 38.0% exhibited a low level of physical activity, 46.2% had a medium level, and 15.8% engaged in high levels of activity.As age increased, the level of physical activity among older adults significantly declined.Most of the physical activity reported by participants was attributed to household chores and farming-related activities.Participation in structured exercise among older adults was notably low, with only 1.3% engaging in muscle-strengthening exercises on a weekly basis.The majority(53.9%)reported walking as their preferred form of weekly exercise.After adjusting for confounding factors, the prevalence of sarcopenia was found to be 0.40(95% CI: 0.26-0.62)times lower in the medium physical activity group, and 0.56(95% CI: 0.31-1.01)times lower in the high physical activity group, compared to those with a low physical activity level.Similarly, regarding frailty as a negative outcome, the prevalence was 0.66(95% CI: 0.51-0.84)times lower in the medium physical activity group and 0.46(95% CI: 0.30-0.73)times lower in the high physical activity group, relative to the low physical activity group.When using PASE scores as a continuous variable, the results remained consistent. Conclusions:The physical activity levels of rural older adults are inadequate, and participation in multicomponent exercise programs is notably low.A lower level of physical activity is significantly associated with a higher prevalence of sarcopenia and frailty.Our findings indicate that it is essential to implement physical activity education and interventions to enhance exercise health literacy and to prevent sarcopenia and frailty among rural older adults.

Objective:To analyze the molecular characteristics of the virus in a local outbreak of dengue fever in Jiangsu province in 2023, and to provide a basis for the prevention and control of the outbreak.Methods:Serum samples were collected from suspected dengue patients in the acute phase of the outbreak for virus detection and serotyping by real-time fluorescence quantitative RT-PCR (RT-qPCR). Positive specimens were amplified with full-length genomic fragments and subjected to second-generation sequencing and related evolutionary analyses.Results:Four confirmed cases of dengue were found in Changzhou city, Jiangsu province, from October 18 to 21, 2023, with epidemiological association between the cases, which was recognized as a dengue outbreak. The serum RT-qPCR result of the four cases were all dengue type 1, and the whole genome sequences of three of the cases were obtained. The evolutionary tree of the E gene and the whole genome showed that the three sequences were located in the 3rd branch of the 1-I genotype, which is similar to the genotype 1-I. The genome-wide sequences of the E gene and the genome-wide evolution tree showed that the three sequences were located in the 3rd branch of the 1-I genotype, which is similar to the genome-wide genotype 1-Ⅰ. The E gene and the genome-wide evolutionary tree showed that all three sequences were located on branch 3 of genotype 1-Ⅰ, with high sequence similarity to the dengue virus epidemic strains in Guangdong and Yunnan provinces in 2023. Amino acid variant site analysis showed that there were 16 branch-specific amino acid site changes in the sequences of the three cases, among which the structural proteins, C protein and prM protein, had one variant site each, E protein had two, and the non-structural proteins had the largest number of NS5 variant sites (9).Conclusions:The local outbreak in Jiangsu was caused by dengue fever type 1 virus, with high nucleotide sequence similarity to strains from other regions of China, and amino acid site alterations.

Aging is characterized by a gradual deterioration of the physiological integrity of cells,tissues,and or-gans,resulting in a decrease in the body's physiological functions and an acceleration of the onset of age-related diseases,ultimately leading to death.The aging of the liver,which is a critical metabolic organ,is closely linked to various chronic liver diseases,such as hepatitis,liver fibrosis,and cirrhosis,and it ex-acerbates their prognosis and is a primary risk factor for their development at all stages.Therefore,a comprehensive understanding of the causes,mechanisms,and potential therapeutic targets associated with liver aging holds significant clinical importance for delaying or potentially reversing liver aging and for treating chronic liver diseases.Stem cells,which are potential anti-aging agents,present a promising and effective alternative for managing liver aging.In this review,we systematically assess the driving factors,characteristics,and underlying mechanisms of liver aging.We then discuss the current status of the use of stem cells to mitigate liver senescence and address related liver diseases.The review reveals that a stem cell-based approach represents a promising therapeutic strategy for combating liver aging and associated diseases.

Objective To investigate the relationship between the protective mechanism of dexmedetomidine(Dex)against myocardial ischemia-reperfusion(I/R)injury and cuproptosis.Methods The Langendorff models were con-structed using SD rats(I/R group),which were divided into 4 groups according to different interventions during reperfusion as:sham group,I/R group,Dex group and Dex+ES-Cu group.The left ventricular peak pressure(LVSP)of the rats in the above four groups were continuously monitored in the immediate pre-ischemic period(T0),30 min of reperfusion(T1),60 min reperfusion(T2),90 min reperfusion(T3),2 h of reperfusion(T4).Left ventricular end-diastolic pressure(LVEDP),heart rate(HR),maximum rate of rise of left ventricular pressure(+dp/dtmax)and maximum rate of drop.Subsequently,the extent of myocardial infarction was shown by 1%triphenyltetrazoliumchloride(TTC)staining,and the degree of myocardial fibrosis was assessed by Sirius red staining;Myocardial enzyme profiles,oxidative stress and inflammation indexes were detected by ELISA;Copper ions were detected by copper ion detection kit in myocardial tissues;ATF3,SPI1 and FDX1 protein level expres-sion was detected by Western blot.Results Compared with the sham-operated group,the extent of myocardial in-farction and fibrosis increased in the I/R group(P＜0.05),the level of serum MDA,IL-6,IL-1β,and TNF-α was elevated(P＜0.05),and the activity of SOD and GSH-Px decreased(P＜0.05).The Dex group significantly alleviated the above changes in the I/R group,and compared with the Dex group,in the Dex+ES-Cu group myocardi-al tissue copper ion content at the end of perfusion was increased(P＜0.05).Both ATF3 and SPI1 protein were in-creased and FDX1 protein was decreased(P＜0.05).Conclusions Dex can regulate copper metabolism and improve myocardial ischemia-reperfusion injury(MI/RI)resulted from oxidative stress and inflammation in rat model.

Objective To investigate the protective effects of paeonol(PAE)on autophagy in human neuroblastoma cells(SH-SY5Y)induced by overexpression of α-synuclein(α-Syn),and to explore its related mechanism.Methods SH-SY5Y cells served as control group,while those induced with A53T-α-Syn mutation were used as model group.Additional groups included PAE(150 μg/ml)group,3-MA(1 mmol/L)group,and PAE(150 μg/ml)+3-MA(1 mmol/L)group.Cell viability was assessed using CCK-8 method,cell morphology was observed under an optical microscope,and protein expressions of α-Syn,LC3-Ⅱ,p62,Beclin-1,phosphorylated c-Jun N-terminal kinase(p-JNK),and p-Bcl-2 were determined by Western blotting.Results Compared with control group,model control exhibited decreased cell survival(P＜0.01),increased α-Syn expression(P＜0.001),reduced expression of autophagy-related proteins LC3-Ⅱ and Beclin-1(P＜0.01,P＜0.05),elevated autophagy substrate protein p62(P＜0.05),and decreased expression of autophagy pathway-related proteins p-JNK and Bcl-2(P＜0.05,P＜0.01).Compared with model group,PAE group showed increased cell survival(P＜0.01),decreased α-Syn and p62 protein expression(P＜0.01,P＜0.05),and increased expression of LC3-Ⅱ,Beclin-1,p-JNK and Bcl-2(P＜0.05).Compared with PAE group,3-MA+PAE group demonstrated increased α-Syn expression(P＜0.05).Conclusions PAE could attenuate the injury of SH-SY5Y cells induced by A53T-α-Syn and eliminate over-expressed α-Syn by activating autophagy pathway,which may be associated with the upregulation of JNK/Bcl-2 mediated autophagy pathway.