Compounds isolated from Epimedium include the total flavonoids of Epimedium , icariin, and its metabolites (icaritin, icariside I, and icariside II), which have similar molecular structures. Modern pharmacological research and clinical practice have proved that Epimedium and its active components have a wide range of pharmacological effects, especially in improving sexual function, hormone regulation, anti-osteoporosis, immune function regulation, anti-oxidation, and anti-tumor activity. To date, we still need a comprehensive source of knowledge about the pharmacological effects of Epimedium and its bioactive compounds on the male reproductive system. However, their actions in other tissues have been reviewed in recent years. This review critically focuses on the Epimedium , its bioactive compounds, and the biochemical and molecular mechanisms that modulate vital pathways associated with the male reproductive system. Such intrinsic knowledge will significantly further studies on the Epimedium and its bioactive compounds that protect the male reproductive system and provide some guidances for clinical treatment of related male reproductive disorders.
Male ; Epimedium/chemistry* ; Humans ; Genitalia, Male/drug effects* ; Flavonoids/therapeutic use* ; Animals

Naringin is a flavonoid compound with a wide range of biological and pharmacologi-cal activities,which can be used in treating tumor,diabetes,neurodegenerative diseases,cardiovascu-lar diseases,metabolic syndrome,etc.Among them,the application of naringin in cardiovascular diseases has attracted the attention of many re-searchers.This article mainly reviews the role of naringin in cardiovascular disease(regulating blood lipids,anti atherosclerosis,lowering blood pres-sure,inhibiting myocardial hypertrophy,anti myo-cardial infarction,protecting myocardial ischemia/reperfusion injury,reducing myocardial ischemia/reperfusion injury and improving pulmonary arteri-al hypertension),the protective effect on cardiotox-icity,and the signal pathways in cardiovascular dis-ease(PI3K-Akt-mTOR,p-eNOS/p-Akt/p-ERK,miR-126/GSK-3 β/β-Catenin),clinical trials,etc.This pa-per is expected to review the current research sta-tus of naringin in cells and animal models so as to reveal its clinical application prospects and provide reference for further research in related fields.

Naringin is a flavonoid compound with a wide range of biological and pharmacologi-cal activities,which can be used in treating tumor,diabetes,neurodegenerative diseases,cardiovascu-lar diseases,metabolic syndrome,etc.Among them,the application of naringin in cardiovascular diseases has attracted the attention of many re-searchers.This article mainly reviews the role of naringin in cardiovascular disease(regulating blood lipids,anti atherosclerosis,lowering blood pres-sure,inhibiting myocardial hypertrophy,anti myo-cardial infarction,protecting myocardial ischemia/reperfusion injury,reducing myocardial ischemia/reperfusion injury and improving pulmonary arteri-al hypertension),the protective effect on cardiotox-icity,and the signal pathways in cardiovascular dis-ease(PI3K-Akt-mTOR,p-eNOS/p-Akt/p-ERK,miR-126/GSK-3 β/β-Catenin),clinical trials,etc.This pa-per is expected to review the current research sta-tus of naringin in cells and animal models so as to reveal its clinical application prospects and provide reference for further research in related fields.

Objective To analyze the detection efficiency of p16INK4a protein combined with human papillomavirus and liquid-based cytology(LCT)in the screening of cervical precancerous lesions,and to provide a basis for cervical cancer preven-tion and treatment.Methods The results of p16INK4a staining of cervical epithelial cells,human papillomavirus testing and cer-vical cytology were analyzed in 139 inpatients at Guangzhou Women's and Children's Medical Center between January 2019 and December 2020.Of them,there were 111 patients with cervical intraepithelial neoplasia(CIN)and 28 cases of cervical inflam-matory disease.The efficacy of the three methods alone and in combination to screen for CIN lesions was compared.Results In the detection of CIN patients,the sensitivity of p16INK4a,microfluidic microarray and cervical cytology for detecting CIN and a-bove lesions was 91.89% ,94.59% and82.88% ,with specificity of 57.14% ,17.86% and46.43% ,and AUC of 0.75,0.56 and 0.65,respectively;while the sensitivity of"p16INK4a+LCT","p16INK4a+hrHPV","LCT+hrHPV"and their sen-sitivity were 96.40% ,97.30% ,94.59% and 99.10% ,their specificity was 85.71% ,92.86% ,89.29% and 92.86% ,and the AUC was 0.91,0.95,0.92 and 0.96,respectively.Conclusion The combined p16INK4a and hrHPV test helps to improve diagnostic accuracy and early detection,thus allowing for earlier intervention or treatment.This combined application allows for more accurate identification of low-grade and high-grade cervical intraepithelial neoplasia,providing more information for indi-vidualized patient management.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

The biological clock(also known as the circadian rhythm)is the fundamental reliance for all organisms on Earth to adapt and survive in the Earth's rotation environment.Circadian rhythm is the most basic regulatory mechanism of life activities,and plays a key role in maintaining normal physiological and biochemical homeostasis,disease occurrence and treatment.Recent studies have shown that the biologi-cal clock plays an important role in the development of oral tissues and in the occurrence and treatment of oral diseases.Since there is cur-rently no guiding literature on the research methods of biological clock in stomatology,researchers mainly conduct research based on pub-lished references,which has led to controversy about the research methods of biological clock in stomatology,and there are many confusions about how to rationally apply the research methods of circadia rhythms.In view of this,this expert consensus summarizes the characteristics of the biological clock and analyzes the shortcomings of the current biological clock research in stomatology,and organizes relevant experts to summarize and recommend 10 principles as a reference for the rational implementation of the biological clock in stomatology research.

Aim To analyze serum exosome sequencing data from patients with coronary heart disease(CHD)and normal subjects by using bioinformatics-related methods to construct a competitive endogenous ln-cRNA-miRNA-mRNA(ceRNA)regulatory network,to mine the predicted potential Chinese medicines,and to perform preliminary validation of the biological processes and core Chinese medicines involved in the ceRNA network.Methods We used exoRbase data-base to obtain the expression matrix of differential genes,combined with the raw letter method to con-struct the ceRNA network,and performed GO analysis and KEGG analysis on the differential mRNAs in the network,and used COREMINE database to predict the biological processes and core target genes involved in the ceRNA network,and to screen the herbal medi-cines with potential therapeutic effects;AVECs oxida-tive damage cell model was constructed in vitro,and the cytoskeleton,tube-forming function,cell prolifera-tion,LDH leakage rate,ROS level and p-AKT,AKT,p-PI3K and AKT protein expression were examined to verify the action pathways and targets of the core Chi-nese medicine Salvia miltiorrhiza for the treatment of coronary heart disease.Results Compared with nor-mal subjects,395 mRNAs,80 miRNAs,60 lncRNA differential genes,and 80 miRNAs were predicted in serum exosomes of coronary heart disease,and the constructed ceRNA sub-network,mainly consisted of 21 lncRNAs,80 miRNAs,and 82 mRNAs;AKT1,VEGFA,IL1B and other genes in the network.The abnormally expressed mRNAs were involved in biologi-cal processes such as oxidative stress and signaling pathways such as PI3 K/Akt,and Dan Shen,Chuanx-iong and Panax notoginseng were most closely related to exosome-mediated biological processes and core genes in coronary heart disease.The active ingredients of tanshinone ⅡA,the core Chinese medicine,could pro-mote vascular endothelial cell proliferation,tube for-mation,skeleton formation and repair,reduce LDH leakage rate and ROS level,and promote the expres-sion of p-AKT and p-PI3K protein.Conclusion There is a complex ceRNA regulatory network trans-duction in coronary artery disease serum exosomes,and traditional Chinese medicine can be used to treat CHD through multi-target intervention,and Dan Shen,Chuanxiong and Panax notoginseng are expected to be candidate sources of traditional Chinese medicine,a-mong which the active ingredient of Dan Shen,tanshi-none ⅡA,activates PI3 K/Akt signaling pathway to play a protective role against oxidative stress-injured cells,and treats CHD.

Objective:An artificial intelligence(AI)model based on deep learning algorithms was constructed using clinical data to evaluate the feasibility of predicting the efficacy of neoadjuvant immunotherapy combined with chemotherapy for non-small cell lung cancer(NSCLC).Methods:Clinical and pathological data of 132 patients with NSCLC who were diagnosed and treated with neoadjuvant immunotherapy combined with chemotherapy between January 2020 and January 2024 at Beijing Chest Hospital/Beijing Tuberculosis and Thoracic Tumor Research Institute were collected.Statistical analysis was conducted to identify the main factors affecting the efficacy of neoadjuvant im-munotherapy combined with chemotherapy.Variables were selected based on statistical results and relevant literature,and a variable data-set was constructed.A deep learning model was established using a multi-layer perceptron(MLP)algorithm with 5-fold cross-validation,and the performance of the model was evaluated using receiver operating characteristic curve(ROC).Results:Among the 132 patients,univari-ate analysis demonstrated statistically significant differences in sex(P=0.020),smoking history(P=0.004),carcinoembryonic antigen(CEA)(P=0.038)and programmed death-ligand 1(PD-L1)≥1%(P=0.038)between the major pathological response(MPR)and non-MPR groups.Patients in the complete pathological response(pCR)group and non-pCR groups showed statistical differences in tumor size(P=0.007)and CEA levels(P=0.010).After 5-fold cross-validation,the average area under the curve(AUC)of the MPR prediction model in the validation and test sets was 0.72 and 0.71,respectively.Conclusions:The deep learning model can effectively predict the efficacy of neoadjuvant chemoim-munotherapy in patients with NSCLC.

Objective To explore the effect of scalp acupuncture combined with repetitive transcranial magnetic stimulation(rTMS)on global cognitive function in patients with post-stroke cognitive impairment(PSCI).To explore the resting-state neuroimaging mechanism of scalp acupuncture combined with rTMS in improving cognitive function in patients with PSCI using fraction amplitude of low frequency fluctuation(fALFF).Methods PSCI patients were randomly assigned to scalp acupuncture group and scalp acupuncture combined with rTMS group(the combined group).Both groups were given conventional rehabilitative training.The scalp acupuncture group selected the affected-side anterior oblique parietotemporal line(MS6).Low frequency(1Hz)rTMS over primary motor cortex(M1)of the unaffected-side in the combined group.The duration was once a day for 20 min,6 sessions one week,in total of 12 sessions for consecutive two weeks.Comparing the total and subtests of the Montreal Cognitive Assessment Scale(MoCA)before and after treatment.At the same time,the statistical method of Difference-in-Difference(DID)was used to analyze the trend of each observational index.The fALFF was used to detect the changes of spontaneous neurological activity in local brain areas and partial correlation analysis was performed with statistical differences cognitive behavioral indicators and significant fALFF values.Results A total of 47 subjects entered the final statistical analyses,including 25 subjects in the scalp acupuncture group and 22 subjects in the combined group.Compared with scalp acupuncture group,there were no significant differences in the global cognitive function in the combined group(P=0.914＞0.05).However,the MoCA subscore-delayed memory task score was significantly improved in the combined group(P=0.035＜0.05).At the same time,the trend analysis also showed that the improvement effect in the combined group was significantly better than those in the scalp acupuncture group(DID=0.80,t=2.20,P=0.033＜0.05).After two weeks of intervention,compared with the baseline fALFF value,the increase of left precuneus,right cerebelum,left fusiform gyrus,left superior parietal gyrus in the combined group were significantly decreased than those of scalp acupuncture group.(GRF corrected,voxel P＜0.01,cluster P＜0.05).The results of partial correlation analysis showed that the fALFF difference of left fusiform gyrus was positively correlated with the difference of subscore-delayed memory in combined group(r=0.719,P＜0.05).Other correlation analyses were not statistically significant(P＞0.05).Conclusion Scalp acupuncture combined with rTMS intervention have definite efficacy in delayed memory.The underpinning neuroimaging mechanism may be related to local neurological spontaneous activity in brain regions involving in cognitive processing such as left fusiform gyrus.

Objective To explore the effect of scalp acupuncture combined with repetitive transcranial magnetic stimulation(rTMS)on global cognitive function in patients with post-stroke cognitive impairment(PSCI).To explore the resting-state neuroimaging mechanism of scalp acupuncture combined with rTMS in improving cognitive function in patients with PSCI using fraction amplitude of low frequency fluctuation(fALFF).Methods PSCI patients were randomly assigned to scalp acupuncture group and scalp acupuncture combined with rTMS group(the combined group).Both groups were given conventional rehabilitative training.The scalp acupuncture group selected the affected-side anterior oblique parietotemporal line(MS6).Low frequency(1Hz)rTMS over primary motor cortex(M1)of the unaffected-side in the combined group.The duration was once a day for 20 min,6 sessions one week,in total of 12 sessions for consecutive two weeks.Comparing the total and subtests of the Montreal Cognitive Assessment Scale(MoCA)before and after treatment.At the same time,the statistical method of Difference-in-Difference(DID)was used to analyze the trend of each observational index.The fALFF was used to detect the changes of spontaneous neurological activity in local brain areas and partial correlation analysis was performed with statistical differences cognitive behavioral indicators and significant fALFF values.Results A total of 47 subjects entered the final statistical analyses,including 25 subjects in the scalp acupuncture group and 22 subjects in the combined group.Compared with scalp acupuncture group,there were no significant differences in the global cognitive function in the combined group(P=0.914＞0.05).However,the MoCA subscore-delayed memory task score was significantly improved in the combined group(P=0.035＜0.05).At the same time,the trend analysis also showed that the improvement effect in the combined group was significantly better than those in the scalp acupuncture group(DID=0.80,t=2.20,P=0.033＜0.05).After two weeks of intervention,compared with the baseline fALFF value,the increase of left precuneus,right cerebelum,left fusiform gyrus,left superior parietal gyrus in the combined group were significantly decreased than those of scalp acupuncture group.(GRF corrected,voxel P＜0.01,cluster P＜0.05).The results of partial correlation analysis showed that the fALFF difference of left fusiform gyrus was positively correlated with the difference of subscore-delayed memory in combined group(r=0.719,P＜0.05).Other correlation analyses were not statistically significant(P＞0.05).Conclusion Scalp acupuncture combined with rTMS intervention have definite efficacy in delayed memory.The underpinning neuroimaging mechanism may be related to local neurological spontaneous activity in brain regions involving in cognitive processing such as left fusiform gyrus.