Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective To find potential effect of Ginkgo biloba extract on proliferation and migration of human gli-oma cell line.Methods Glioma cell line U87 was cultured and incubated with Ginkgo biloba extract at doses of 0,10,50,and 100 μg/mL,respectively.The proliferation activity of the cells in each group was detected by 5-ethynyl-2'-deoxyuridine(EDU)experiment,the migration activity of the cells in each group was examined by scratch experiment,the invasion activity of the cells in each group was detected by Transwell experiment and the expression of epithelial-mesenchymal transition(EMT)-related proteins,phosphatidylinositol-3-kinase(PI3K)/protein kinase B(AKT)signaling pathway proteins and E2F transcription factor 1(E2F1)protein in each group of the cells were detected by Western blot.Reply experiment was added with PI3K/AKT pathway activator 740 Y-P.Results Ginkgo biloba extract at concentrations of 10,50,and 100 μg/mL significantly inhibited the proliferation,migration,and invasion of U87 cells(P＜0.05).The protein level of vimentin,N-cadherin,p-PI3K,p-AKT and E2F1 was significantly decreased(P＜0.05),while the protein level of E-cadherin and ZO-1 was significantly increased(P＜0.05).After addition of 740 Y-P into the cultural system,the inhibitory effect of Ginkgo biloba extract on the proliferation and metastasis of U87 cells was inhibited and the protein level of vimentin,N-cadherin,p-PI3K,p-AKT,and E2F1 increased(P＜0.05),while the protein level of E-cadherin and ZO-1 was decreased(P＜0.05).Conclusions Ginkgo biloba extract may inhibit proliferation,migration and EMT of U87 cells,which is potentially related to the PI3K/AKT/E2F1 pathway.

Objective To investigate the efficacy of nimodipine combined with donepezil in the treatment of CSVD patients with mild cognitive impairment.Methods A total of 130 CSVD pa-tients admitted to our department from October 2020 to October 2023 were recruited and ran-domly divided into monotherapy group(nimodipine,65 cases)and combined group(nimodipine plus donepezil,65 cases).The clinical efficacy after 3 months of treatment was recorded.The blood-brain barrier function and brain function indicators[serum neuron-specific enolase(NSE),vascular endothelial growth factor(VEGF),central nervous system specific protein(S100β)]were compared between the two groups.Results The clinical efficacy was significantly higher in the combined group than the monotherapy group(92.3％vs 78.5％,P＜0.05).The cerebrospinal fluid albumin and blood-brain barrier index were obviously increased in the two groups after treatment(P＜0.05),and the two indicators were notably lower in the combined group than the monothera-py group(P＜0.01).After treatment,the level of VEGF was remarkably elevated while those of NSE and S100β were marvelously reduced in the two groups when compared with the levels be-fore treatment(P＜0.05).The combined group obtained significantly higher VEGF level but low-er NSE and S100β levels than the monotherapy group after treatment(P＜0.01).Conclusion For CSVD patients with mild cognitive impairment,the combination of nimodipine and donepezil can effectively improve the cognitive impairment,and promote the brain function recovery.

Objective To investigate the correlation between immune cells and the occurrence of cardiovascular disease(CVD)in patients with human immunodeficiency virus/acquired immunodeficiency syndrome(HIV/AIDS),and to construct a risk prediction model.Methods A total of 280 HIV/AIDS patients treated from June 2024 to August 2025 were selected as the research subjects and divided into a training set(n=200)and a test set(n=80)at a ratio of 5:2.The patients in the training set were subdivided into a CVD subgroup(n=60)and a non-CVD subgroup(n=140)according to whether they developed CVD.The baseline characteristics and immune cells of the two groups were compared,and the longitudinal trajectory changes of immune cells in the CVD subgroup and the non-CVD subgroup were analyzed.LASSO regression analysis was used to screen the independent influencing factors of CVD,multivariate Logistic regression analysis was used to screen the independent risk factors for the occurrence of CVD,and a risk prediction nomogram model was constructed.The area under the receiver operating characteristic(ROC)curve(AUC),Hosmer-Lem show test,calibration curve,and decision curve were used to compare the risk prediction nomogram model with the general cardiovascular risk assessment model,to evaluate its discrimination,goodness-of-fit,and clinical utility.Results There were significant differences in the baseline characteristics and immune cells between the two groups(P<0.05).The longitudinal trajectory plots revealed that the CD4+count,CD8+count,and CD4+/CD8+level in the CVD group exhibited substantial fluctuations,while the trajectories of these parameters in the non-CVD group remained relatively stable.After LASSO regression analysis screened out 11 non-zero coefficient variables,multivariate logistic regression analysis showed that age,hypertension,total cholesterol,smoking,high-sensitivity C-reactive protein,CD4+count at the time of HIV diagnosis,CD8+count at the time of HIV diagnosis,and globulin were all independent influencing factors for the occurrence of CVD in HIV/AIDS patients(P<0.05).The AUC of the risk prediction nomogram model was 0.960 in the training set and 0.914 in the test set,indicating good discrimination of the model.The Hosmer-Lem show test and calibration curve showed good accuracy and consistency of the model,and the decision curve showed a high net benefit value,indicating good clinical utility.Conclusion The CVD risk in HIV/AIDS patients is jointly affected by immune dysfunction and traditional metabolic factors.The risk prediction nomogram model constructed significantly improves the accuracy of risk prediction of CVD and can provide a basis for early identification of high-risk patients and the formulation of individualized intervention strategies.

OBJECTIVE To detect the common pathogens for the patients with eczematous dermatitis and analyze associations between the pathogens and the clinical stages.METHODS A total of 206 patients with eczematous der-matitis who were treated in Jinhua Central Hospital from Jan.2014 to Jan.2024 were enrolled in the study and were divided into the secondary skin lesion group with 92 cases and the non-secondary skin lesion group with 114 cases according to the characteristics of the lesions.Meanwhile,the people who received physical examination and had no history of eczematous dermatitis were chosen as the control group with 91 cases.The distribution and den-sity of the common pathogens were compared among the three groups and among the patients with different clini-cal stages(the acute stage,the subacute stage and the chronic stage)of eczematous dermatitis.The scores of skin lesion were compared among the patients.RESULTS Staphylococcus aureus,Staphylococcus epidermidis and Malassezia were dominant among the isolated pathogens;both the positive rates of pathogens and the densities of pathogens,from the high to the low,were as follows:the secondary skin lesion group＞the non-secondary skin lesion group＞the control group(P＜0.05).The isolation rate of S.aureus of the secondary skin lesion group and the non-secondary skin lesion group were higher than that of the control group(P＜0.05);the isolation rate of Malassezia of the secondary skin lesion group was higher than that of the non-secondary skin lesion group(P＜0.05).The score of skin lesion of the patients detected positive for pathogens was higher than that of the patients detected negative(P＜0.05).Among the patients detected positive for pathogens,the score of skin lesion of the a-cute stage patients was higher than that of the subacute stage patients and the chronic stage patients(P＜0.05);the isolation rates of S.aureus and Malassezia and the density of pathogens of the acute stage patients were higher than those of the chronic stage patients(P＜0.05),and the density of pathogens of the subacute stage patients was higher than that of the chronic stage patients(P＜0.05).CONCLUSIONS S.aureus,S.epidermidis and Malassezia are the common pathogens isolated from the patients with eczematous dermatitis.The positive rates and densities of pathogens are higher among the patients with secondary skin lesions,and the infections with the pathogens are associated with the severity of skin lesion and the clinical stage.

Objective To investigate the correlation between immune cells and the occurrence of cardiovascular disease(CVD)in patients with human immunodeficiency virus/acquired immunodeficiency syndrome(HIV/AIDS),and to construct a risk prediction model.Methods A total of 280 HIV/AIDS patients treated from June 2024 to August 2025 were selected as the research subjects and divided into a training set(n=200)and a test set(n=80)at a ratio of 5:2.The patients in the training set were subdivided into a CVD subgroup(n=60)and a non-CVD subgroup(n=140)according to whether they developed CVD.The baseline characteristics and immune cells of the two groups were compared,and the longitudinal trajectory changes of immune cells in the CVD subgroup and the non-CVD subgroup were analyzed.LASSO regression analysis was used to screen the independent influencing factors of CVD,multivariate Logistic regression analysis was used to screen the independent risk factors for the occurrence of CVD,and a risk prediction nomogram model was constructed.The area under the receiver operating characteristic(ROC)curve(AUC),Hosmer-Lem show test,calibration curve,and decision curve were used to compare the risk prediction nomogram model with the general cardiovascular risk assessment model,to evaluate its discrimination,goodness-of-fit,and clinical utility.Results There were significant differences in the baseline characteristics and immune cells between the two groups(P<0.05).The longitudinal trajectory plots revealed that the CD4+count,CD8+count,and CD4+/CD8+level in the CVD group exhibited substantial fluctuations,while the trajectories of these parameters in the non-CVD group remained relatively stable.After LASSO regression analysis screened out 11 non-zero coefficient variables,multivariate logistic regression analysis showed that age,hypertension,total cholesterol,smoking,high-sensitivity C-reactive protein,CD4+count at the time of HIV diagnosis,CD8+count at the time of HIV diagnosis,and globulin were all independent influencing factors for the occurrence of CVD in HIV/AIDS patients(P<0.05).The AUC of the risk prediction nomogram model was 0.960 in the training set and 0.914 in the test set,indicating good discrimination of the model.The Hosmer-Lem show test and calibration curve showed good accuracy and consistency of the model,and the decision curve showed a high net benefit value,indicating good clinical utility.Conclusion The CVD risk in HIV/AIDS patients is jointly affected by immune dysfunction and traditional metabolic factors.The risk prediction nomogram model constructed significantly improves the accuracy of risk prediction of CVD and can provide a basis for early identification of high-risk patients and the formulation of individualized intervention strategies.

OBJECTIVE To detect the common pathogens for the patients with eczematous dermatitis and analyze associations between the pathogens and the clinical stages.METHODS A total of 206 patients with eczematous der-matitis who were treated in Jinhua Central Hospital from Jan.2014 to Jan.2024 were enrolled in the study and were divided into the secondary skin lesion group with 92 cases and the non-secondary skin lesion group with 114 cases according to the characteristics of the lesions.Meanwhile,the people who received physical examination and had no history of eczematous dermatitis were chosen as the control group with 91 cases.The distribution and den-sity of the common pathogens were compared among the three groups and among the patients with different clini-cal stages(the acute stage,the subacute stage and the chronic stage)of eczematous dermatitis.The scores of skin lesion were compared among the patients.RESULTS Staphylococcus aureus,Staphylococcus epidermidis and Malassezia were dominant among the isolated pathogens;both the positive rates of pathogens and the densities of pathogens,from the high to the low,were as follows:the secondary skin lesion group＞the non-secondary skin lesion group＞the control group(P＜0.05).The isolation rate of S.aureus of the secondary skin lesion group and the non-secondary skin lesion group were higher than that of the control group(P＜0.05);the isolation rate of Malassezia of the secondary skin lesion group was higher than that of the non-secondary skin lesion group(P＜0.05).The score of skin lesion of the patients detected positive for pathogens was higher than that of the patients detected negative(P＜0.05).Among the patients detected positive for pathogens,the score of skin lesion of the a-cute stage patients was higher than that of the subacute stage patients and the chronic stage patients(P＜0.05);the isolation rates of S.aureus and Malassezia and the density of pathogens of the acute stage patients were higher than those of the chronic stage patients(P＜0.05),and the density of pathogens of the subacute stage patients was higher than that of the chronic stage patients(P＜0.05).CONCLUSIONS S.aureus,S.epidermidis and Malassezia are the common pathogens isolated from the patients with eczematous dermatitis.The positive rates and densities of pathogens are higher among the patients with secondary skin lesions,and the infections with the pathogens are associated with the severity of skin lesion and the clinical stage.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective To investigate the efficacy of nimodipine combined with donepezil in the treatment of CSVD patients with mild cognitive impairment.Methods A total of 130 CSVD pa-tients admitted to our department from October 2020 to October 2023 were recruited and ran-domly divided into monotherapy group(nimodipine,65 cases)and combined group(nimodipine plus donepezil,65 cases).The clinical efficacy after 3 months of treatment was recorded.The blood-brain barrier function and brain function indicators[serum neuron-specific enolase(NSE),vascular endothelial growth factor(VEGF),central nervous system specific protein(S100β)]were compared between the two groups.Results The clinical efficacy was significantly higher in the combined group than the monotherapy group(92.3％vs 78.5％,P＜0.05).The cerebrospinal fluid albumin and blood-brain barrier index were obviously increased in the two groups after treatment(P＜0.05),and the two indicators were notably lower in the combined group than the monothera-py group(P＜0.01).After treatment,the level of VEGF was remarkably elevated while those of NSE and S100β were marvelously reduced in the two groups when compared with the levels be-fore treatment(P＜0.05).The combined group obtained significantly higher VEGF level but low-er NSE and S100β levels than the monotherapy group after treatment(P＜0.01).Conclusion For CSVD patients with mild cognitive impairment,the combination of nimodipine and donepezil can effectively improve the cognitive impairment,and promote the brain function recovery.

BACKGROUND:Exosomes are vesicle-like structures secreted by cells into extracellular compartments in the form of cytosol,which contain a large amount of microRNAs with important intercellular communication roles.MicroRNAs in exosomes rely on exosome transport and are able to enter target cells to exert important biological regulatory effects.In common bone and joint diseases,abnormal or damaged bone metabolism releases a large number of exosomes,while some exosome-derived microRNAs also promote the progression of osteoarthritis.Therefore,exosome-derived microRNAs are closely related to the skeletal system and are important for the development as well as diagnosis and treatment of many osteoarticular diseases. OBJECTIVE:To review the research progress of exosome-derived microRNAs in bone metabolism and bone and joint diseases. METHODS:Using"exosomes,extracellular vesicle,microRNA,miRNA,bone,bone diseases,bone formation,bone regeneration,bone resorption,bone destruction"as Chinese and English search terms,articles were searched on CNKI,Metasys,and PubMed databases.Finally,86 articles were included for summarization. RESULTS AND CONCLUSION:Exosome-derived microRNAs can regulate bone metabolism by affecting bone formation and bone resorption,and are closely related to the development of bone and joint diseases such as fracture healing,osteoporosis,osteoarthritis,rheumatoid arthritis,osteonecrosis of the femoral head,and osteosarcoma.Exosome-derived microRNAs will be an effective means of diagnosis and treatment of certain bone and joint diseases in the future.However,the current research on exosome-derived microRNAs in osteoarthritic diseases is limited,and more explorations and researches are still needed to diagnose and treat osteoarthritic diseases using exosome-derived microRNAs.