ObjectiveTo identify the active components in Maimendong decoction (MMDD) against pulmonary fibrosis (PF) and validate their molecular effects in vitro, while focusing on the role of methylophiopogonanone B in regulating fibrosis.MethodsData on MMDD components and targets were gathered from databases including BATMAN-TCM and PubMed, whereas the PF gene data were sourced from GeneCards, OMIM, and TTD. Shared targets were determined using the STRING database, and molecular docking was used to analyze the essential molecules associated with fibrosis. To simulate PF conditions, human embryonic lung fibroblasts (HPF) and A549 cells were exposed to transforming growth factor-β1 (TGF-β1). Various assays were used to determine the effects of MMDD and methylophiopogonanone B on signaling pathways, apoptosis, and epithelial–mesenchymal transition.ResultsWe identified 11 active components from MMDD extracts that targeted 511 shared proteins associated with PF, revealing 10 key targets in network analysis. Gene ontology analysis indicated that processes and pathways such as apoptosis regulation and PI3K/Akt signaling were involved. In vitro experiments revealed that MMDD downregulated the expression of α-smooth muscle actin (α-SMA), collagen type I (COL-I), and collagen type III and regulated Bcl-2/Bax signaling pathways to promote apoptosis. The flow cytometry apoptosis assay revealed that MMDD promoted the TGF-β1-induced apoptosis of myofibroblasts. The primary active ingredient in MMDD, methylophiopogonanone B, reduced α-SMA, COL-I, and PI3K/Akt/mTOR-related protein levels in TGF-β1-treated HPF cells, decreased Bcl-2 and cleaved caspase 3, and increased Bax. Moreover, methylophiopogonanone B increased E-cadherin levels and reduced α-SMA, fibronectin, N-cadherin, vimentin, and snail in TGF-β1-treated A549 cells.ConclusionMethylophiopogonanone B demonstrated the potential to treat PF by inducing myofibroblast apoptosis and inhibiting EMT. However, despite encouraging initial results, further clinical research is warranted to verify the safety and efficacy of methylophiopogonanone B in the management of PF

Atypical placental site nodules (APSN) are a rare form of trophoblastic disease in pregnancy. There is limited research on APSN, and treatment methods are controversial, with unclear prognosis. This study collected clinical and prognostic data of 5 patients diagnosed with APSN at Xiangya Hospital of Central South University from June 2008 to June 2023, aiming to provide a better understanding of the prognosis of APSN patients and offer scientific evidence for clinical treatment. The average age of the 5 APSN patients was 32.60 years, and all patients underwent dilation and curettage or hysteroscopic surgery or hysteroscopic surgery without hysterectomy. Except for one patient who was lost to follow-up after 30 days, the remaining 4 patients were followed up for 1.36 to 4.61 years. During the follow-up, gynecological ultrasound did not show abnormalities, and serum human chorionic gonadotropin (HCG) tests were negative, with no evidence of malignancy. A search of both English and Chinese databases yielded 8 articles reporting the diagnosis, treatment, and follow-up outcomes of APSN, with 37 cases cumulatively followed up. Among them, 2 (5.41%) cases developed epithelial trophoblastic tumors or placental site trophoblastic tumors during follow-up, but there is insufficient evidence to determine whether these tumors directly originated from APSN or were secondary to APSN. Currently, there is no direct evidence suggesting that APSN has the potential for malignant transformation. Patients with APSN who have completed their childbearing may consider preserving their uterus, but close follow-up is needed to further evaluate the prognosis.
Humans ; Female ; Pregnancy ; Adult ; Trophoblastic Tumor, Placental Site/pathology* ; Uterine Neoplasms/diagnosis* ; Prognosis ; Dilatation and Curettage ; Chorionic Gonadotropin/blood*

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective To provide basis for the formation of acute exacerbation of chronic obstructive pulmonary disease(AECOPD-STES),the item weight of the syndrome therapeutic evaluation scale for AECOPD-STES was determined.Methods Based on the clinical survey data of 387 AECOPD patients,the random forest method was adopted,and the Spyder integrated development environment.Anaconda navigator software was used to call the"random forest Classifier"in the sklearn package to establish the initial random forest model and calculate the item weights.Factor analysis was used to extract common factors with cumulative variance contribution>80%,and the item weight was calculated according to the cumulative variance contribution and component score coefficient of common factors.The percentage weight method was used to calculate the item weight based on the importance score of each item by 29 experts.Finally,40%,30%and 30%of the above three methods were given respectively to determine the final weight of the items.Results The random forest method showed that the weights of wind cold syndrome,cold Yin syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.014-0.170,0.076-0.194,0.017-0.183,0.010-0.183 and 0.069-0.298,respectively.Factor analysis showed that the weights of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.030-0.111,0.100-0.182,0.037-0.095,0.022-0.141 and 0.054-0.185,respectively.The percentage weight method shows that the weight ranges of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.072-0.102,0.146-0.182,0.057-0.077,0.075-0.111 and 0.115-0.185,respectively.According to the three methods,the weights of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.050-0.121,0.117-0.174,0.040-0.117,0.056-0.130 and 0.092-0.188,respectively.Conclusion This study determined the weight of each item of AECOPD-STES,providing a basis for the calculation of syndrome score.

Objective To provide basis for the formation of acute exacerbation of chronic obstructive pulmonary disease(AECOPD-STES),the item weight of the syndrome therapeutic evaluation scale for AECOPD-STES was determined.Methods Based on the clinical survey data of 387 AECOPD patients,the random forest method was adopted,and the Spyder integrated development environment.Anaconda navigator software was used to call the"random forest Classifier"in the sklearn package to establish the initial random forest model and calculate the item weights.Factor analysis was used to extract common factors with cumulative variance contribution>80%,and the item weight was calculated according to the cumulative variance contribution and component score coefficient of common factors.The percentage weight method was used to calculate the item weight based on the importance score of each item by 29 experts.Finally,40%,30%and 30%of the above three methods were given respectively to determine the final weight of the items.Results The random forest method showed that the weights of wind cold syndrome,cold Yin syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.014-0.170,0.076-0.194,0.017-0.183,0.010-0.183 and 0.069-0.298,respectively.Factor analysis showed that the weights of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.030-0.111,0.100-0.182,0.037-0.095,0.022-0.141 and 0.054-0.185,respectively.The percentage weight method shows that the weight ranges of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.072-0.102,0.146-0.182,0.057-0.077,0.075-0.111 and 0.115-0.185,respectively.According to the three methods,the weights of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.050-0.121,0.117-0.174,0.040-0.117,0.056-0.130 and 0.092-0.188,respectively.Conclusion This study determined the weight of each item of AECOPD-STES,providing a basis for the calculation of syndrome score.

As an increasing number of emerging anti-tumor drugs are approved and marketed,the imperative for clinical safety monitoring and risk information management has grown significantly.Drug-induced neuropathy associated with these drugs exhibit characteristics such as insidious onset,rapid progression,and challenging treatment,ultimately leading to treatment failures.Therefore,a comprehensive understanding of the risk of neuropathy induced by emerging anti-tumor drugs,coupled with risk surveillance and early warning,as well as management and reporting,can significantly reduce the incidence and severity of drug-related diseases.This paper provides a review of the neuropathy caused by emerging anti-tumor drugs,introduces the pharmacovigilance system and risk information management measures in clinical usage,aiming to provide a reference for guiding the rational clinical use and minimizing the incidence of drug-induced diseases.

Chronic obstructive pulmonary disease(COPD)poses a serious threat to human health and carries a heavy burden of disease.The disease burden mainly includes traditional epidemiological indicators such as morbidity,disability rate,and mortality rate,as well as economic burden evaluation indicators such as direct economic burden,indirect economic burden,and intangible economic burden,as well as social/health burden evaluation indicators such as potential years of life reduction,disability adjusted life years,and quality adjusted life years.It summarized the existing methods for evaluating the burden of COPD diseases and proposed the following suggestions:(1)enriching economic burden research methods to comprehensively and accurately evaluate direct economic burden;(2)expanding the scope of economic burden research and improve the economic burden research of COPD;(3)strengthening information management and enhance the accuracy of disease burden data;(4)exploring multidimensional indicators and establish a COPD disease burden evaluation system;(5)strengthening relevant research and highlight the health economics advantages of traditional Chinese medicine intervention in COPD.It can provide references for establishing a COPD disease burden evaluation system and policy formulation.

Objective To study the efficacy of submucosal injection of dexamethasone in analgesia and detumescence after incremen-tal bone implantation,and to analyze the related factors of pain and swelling after incremental bone implantation.Methods Patients with dentition defect requiring bone increment(GBR or internal maxillary sinus lift)were collected from the Special Clinic of the Affilia-ted Stomatology Hospital of Nanjing Medical University from January 2023 to December 2023.Pain and swelling within 72 hours after surgery were measured and recorded,as well as possible influencing factors,including gender,age,number of implants,duration of surgery,and other factors.Oral health status,pre-FAC tension and PSQ pain sensitivity were compared between the two groups at dif-ferent time.Pearson correlation and multiple linear regression analysis were performed for the possible influencing factors.Results Pa-tients receiving dexamethasone intervention had significantly lower pain levels at 12 hours and significantly lower swelling scores at 48 hours.Correlation analysis and regression analysis showed that GBR had a significant effect on postoperative pain and swelling(r=0.348,P=0.030/r=0.441,P=0.005),and the linear regression model of pain degree was also statistically significant(R2=0.126,P=0.030).Conclusion Submucosal injection of dexamethasone can significantly relieve the pain,swelling and discomfort of patients after incremental bone implantation,and improve the comfort of diagnosis and treatment.

Objective To investigate the effect of Yiqi Jiedu Recipe(YQ)on the proliferation,migration,and invasion of nasopharyngeal carcinoma cells,and to explore its mechanisms of action on proliferation,migration,and invasion through the TGF-β1/SMAD3 signaling pathway.Methods(1)The 5-8F cells were divided into four groups:solvent control group,YQ 0.5 mg·mL-1 group,YQ 1.0 mg·mL-1 group,and 5-fluorouracil 2 μg·mL-1 group.Cell proliferation was monitored using real-time cell analysis(RTCA).Wound healing experiment was conducted to assess cell migration.After 24 hours of drug intervention,transwell assay was employed to measure cell invasion.The protein expression levels of β-catenin,E-cadherin,N-cadherin,TGF-β1,and SMAD3 in the cells were evaluated using the Western Blot method.(2)The 5-8F cells were divided into five groups:solvent control group,TGF-β1 10 ng·mL-1 group,TGF-β1 10 ng·mL-1+YQ 1.0 mg·mL-1 group,YQ 1.0 mg·mL-1 group,and LY3200882 10 μmol·L-1 group.Cell proliferation was monitored using RTCA.Wound healing experiment was conducted to assess cell migration.After 24 hours of drug intervention,transwell assay was employed to measure cell invasion.The protein expression levels of β-catenin,E-cadherin,N-cadherin,TGF-β1,and SMAD3 in the cells were evaluated using Western Blot.(3)The nude mice were randomly assigned into the model group,YQ group,and 5-fluorouracil group.Subcutaneous injection of 5-8F cell suspension was performed to establish the xenograft nude mouse model of nasopharyngeal carcinoma.After the tumors reached a certain size,the 5-fluorouracil group received intraperitoneal injection of 5-Fu once every 2 days,while the other groups were orally administered corresponding drugs once a day for three consecutive weeks.Tumor volume was measured every 3 days.Western Blot was conducted to assess the protein expression levels of β-catenin,E-cadherin,and N-cadherin in the tissues of each group.Results Compared with the solvent control group,the proliferation curves of 5-8F cells in the YQ(0.5 mg·mL-1,1.0 mg·mL-1)groups showed a decrease.The migration and invasion abilities of the cells were both reduced(P＜0.05,P＜0.01).Additionally,the expression of E-cadherin protein significantly increased(P＜0.01),while the protein expression of β-catenin,N-cadherin,TGF-β1,and SMAD3 all decreased(P＜0.05,P＜0.01).Compared with the model group,the transplanted tumor volume of nasopharyngeal carcinoma in the YQ group significantly decreased(P＜0.05).Furthermore,the protein expression of β-catenin and N-cadherin in the transplanted tissues of the YQ group was significantly downregulated(P＜0.05,P＜0.01),while the expression of E-cadherin protein was significantly upregulated(P＜0.01).After the addition of the activator and inhibitor of TGF-β1 signaling pathway,compared with the YQ 1.0 mg·mL-1 group,the TGF-β1 10 ng·mL-1+YQ 1.0 mg·mL-1 group showed a significant increase in the expression of TGF-β1,SMAD3,β-catenin,and N-cadherin proteins(P＜0.05,P＜0.01)and obvious enhancement of the abilities of cell proliferation,migration,and invasion(P＜0.01).Conclusion Yiqi Jiedu Recipe can inhibit the proliferation,migration,and invasion by regulating the TGF-β1/SMAD3 signaling pathway.