The medicinal materials of Bawei Chenxiang Pills(BCPs) were extracted via three methods: reflux extraction by water, reflux extraction by 70% ethanol, and extraction by pure water following reflux extraction by 70% ethanol, yielding three extracts of ST, CT, and CST. The efficacy of ST(760 mg·kg~(-1)), CT(620 mg·kg~(-1)), and CST(1 040 mg·kg~(-1)) were evaluated by acute myocardial ischemia(AMI) and p-chlorophenylalanine(PCPA)-induced insomnia in mice, respectively. Western blot was further utilized to investigate their hypnosis mechanisms. The main chemical components of different extracts were identified by the UPLC-Q-Exactive-MS technique. The results showed that CT and CST significantly increased the ejection fraction(EF) and fractional shortening(FS) of myocardial infarction mice, reduced left ventricular internal dimension at end-diastole(LVIDd) and left ventricular internal dimension at end-systole(LVIDs). In contrast, ST did not exhibit significant effects on these parameters. In the insomnia model, CT significantly reduced sleep latency and prolonged sleep duration, whereas ST only prolonged sleep duration without shortening sleep latency. CST showed no significant effects on either sleep latency or sleep duration. Additionally, both CT and ST upregulated glutamic acid decarboxylase 67(GAD67) protein expression in brain tissue. A total of 15 main chemical components were identified from CT, including 2-(2-phenylethyl) chromone and 6-methoxy-2-(2-phenylethyl) chromone. Six chemical components including chebulidic acid were identified from ST. The results suggested that chromones and terpenes were potential anti-myocardial ischemia drugs of BCPs, and tannin and phenolic acids were potential hypnosis drugs. This study enriches the pharmacological and chemical research of BCPs, providing a basis and reference for their secondary development, quality standard improvement, and clinical application.
Animals ; Drugs, Chinese Herbal/isolation & purification* ; Mice ; Male ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Humans ; Myocardial Infarction/drug therapy* ; Myocardial Ischemia/drug therapy*

Objective To explore the predictive value of intratumor and peritumoral edema radiomics combined with the autoencoder algorithm for human epidermal growth factor receptor(HER-2)status in breast cancer to provide a new idea for preoperative noninvasive prediction of HER-2 status.Methods Totally 145 breast cancer patients from Yancheng Hospital Affiliated to Nanjing University Medical College(Center 1)and 52 ones from Jianhu Hospital Affiliated to Nantong University(Center 2)had their clinical and imaging data collected retrospectively,who were divided into a HER-2 positive group including 87 ones from Center 1 and 30 ones from Center 2 and a HER-2 negative group including 58 ones from Center 1 and 22 ones from Center 2.From December 2018 to October 2024 there were 78 patients with peritumoral edema from Center 1 randomly enrolled into a training set(55 patients)and a validation set(23 patients)in a ratio of 7∶3,and from November 2024 to March 2025 another 26 ones placed into a time validation set.The 52 patients with peritumoral edema from Center 2 were included into an external test set.Firstly,the Mazda software was used to delineate the regions of interest for the largest tumor layer and the peritumoral edema area.Secondly,multivariate analysis of variance(ANOVA),Kruskal-Wallis test,recursive feature elimination(RFE)and Relief algorithm were respectively employed to screen the radiomics features;finally,combined with ten-fold cross validation,the receiver operating characteristic curve was drawn,and the diagnostic efficacy of the models respectively constructed with radiomics parameters and ten types of machine learning algorithms,including auto encoder,support vector machine,linear discriminant analysis,random forest,Logistic regression,Logistic regression via Lasso,adaptive boosting,Gaussian process,native Bayes and decision tree,was evaluated for the HER-2 status in breast cancer.Results The model established by the auto encoder algorithm combined with three feature parameters including intratumor MaxNorm and Variance and peritumoral edema SumAverg behaved the best.The average AUC values of the training and validation sets were 0.808 and 0.735 resepctively,and the AUC values of the time validation and external test sets were 0.746 and 0.732 respectively.Conclusion The model developed with intratumor and peritumoral edema radiomics combined with the auto encoder algorithm can be used for preoperative noninvasive prediction of HER-2 status of breast cancer,which provides references for the preparation of individualized treatment scheme of breast cancer patients.[Chinese Medical Equipment Journal,2025,46(9):9-15]

Objective:To investigate the effects of preoperative visit in operating room based on"internet plus"on perioperative negative emotion,sleep quality and stress response of elderly patients.Methods:142 elderly patients who underwent surgery in the Yancheng No.1 People's Hospital from From February 2022 to February 2024 were selected,the patients were randomly divided into observation group(n=71,preoperative visit in operating room based on"internet plus")and control group(n=71,traditional preoper ative visit).The perioperative indicators(heart rate,systolic blood pressure,diastolic blood pressure),negative emotions[Self Rating Anxiety Scale(SAS),Self Rating Depression Scale(SDS)],sleep quality[Pittsburgh Sleep Quality Index(PSQI)score],stress response indicators[C-reactive protein(CRP),cortisol(Cor),norepinephrine(NE),epinephrine(E)]were compared between the two groups.Results:Heart rate after intervention increased,systolic blood pressure,diastolic blood pressure,SAS,SDS scores,PSQI scores,CRP,Cor,NE and E decreased,and the change range of observation group was greater than that of control group(P＜0.05).Conclusion:Preoperative visit in operating room based on"internet plus"can effectively reduce the negative emotions of elderly patients,improve the quality of sleep,and alleviate the stress reaction through early communication,rich information,convenient,efficient and personalized service.

Objective:To investigate the effects of preoperative visit in operating room based on"internet plus"on perioperative negative emotion,sleep quality and stress response of elderly patients.Methods:142 elderly patients who underwent surgery in the Yancheng No.1 People's Hospital from From February 2022 to February 2024 were selected,the patients were randomly divided into observation group(n=71,preoperative visit in operating room based on"internet plus")and control group(n=71,traditional preoper ative visit).The perioperative indicators(heart rate,systolic blood pressure,diastolic blood pressure),negative emotions[Self Rating Anxiety Scale(SAS),Self Rating Depression Scale(SDS)],sleep quality[Pittsburgh Sleep Quality Index(PSQI)score],stress response indicators[C-reactive protein(CRP),cortisol(Cor),norepinephrine(NE),epinephrine(E)]were compared between the two groups.Results:Heart rate after intervention increased,systolic blood pressure,diastolic blood pressure,SAS,SDS scores,PSQI scores,CRP,Cor,NE and E decreased,and the change range of observation group was greater than that of control group(P＜0.05).Conclusion:Preoperative visit in operating room based on"internet plus"can effectively reduce the negative emotions of elderly patients,improve the quality of sleep,and alleviate the stress reaction through early communication,rich information,convenient,efficient and personalized service.

Objective To explore the predictive value of intratumor and peritumoral edema radiomics combined with the autoencoder algorithm for human epidermal growth factor receptor(HER-2)status in breast cancer to provide a new idea for preoperative noninvasive prediction of HER-2 status.Methods Totally 145 breast cancer patients from Yancheng Hospital Affiliated to Nanjing University Medical College(Center 1)and 52 ones from Jianhu Hospital Affiliated to Nantong University(Center 2)had their clinical and imaging data collected retrospectively,who were divided into a HER-2 positive group including 87 ones from Center 1 and 30 ones from Center 2 and a HER-2 negative group including 58 ones from Center 1 and 22 ones from Center 2.From December 2018 to October 2024 there were 78 patients with peritumoral edema from Center 1 randomly enrolled into a training set(55 patients)and a validation set(23 patients)in a ratio of 7∶3,and from November 2024 to March 2025 another 26 ones placed into a time validation set.The 52 patients with peritumoral edema from Center 2 were included into an external test set.Firstly,the Mazda software was used to delineate the regions of interest for the largest tumor layer and the peritumoral edema area.Secondly,multivariate analysis of variance(ANOVA),Kruskal-Wallis test,recursive feature elimination(RFE)and Relief algorithm were respectively employed to screen the radiomics features;finally,combined with ten-fold cross validation,the receiver operating characteristic curve was drawn,and the diagnostic efficacy of the models respectively constructed with radiomics parameters and ten types of machine learning algorithms,including auto encoder,support vector machine,linear discriminant analysis,random forest,Logistic regression,Logistic regression via Lasso,adaptive boosting,Gaussian process,native Bayes and decision tree,was evaluated for the HER-2 status in breast cancer.Results The model established by the auto encoder algorithm combined with three feature parameters including intratumor MaxNorm and Variance and peritumoral edema SumAverg behaved the best.The average AUC values of the training and validation sets were 0.808 and 0.735 resepctively,and the AUC values of the time validation and external test sets were 0.746 and 0.732 respectively.Conclusion The model developed with intratumor and peritumoral edema radiomics combined with the auto encoder algorithm can be used for preoperative noninvasive prediction of HER-2 status of breast cancer,which provides references for the preparation of individualized treatment scheme of breast cancer patients.[Chinese Medical Equipment Journal,2025,46(9):9-15]

ObjectiveTranscription factor NFE2 was observed abnormal expression in myeloproliferative neoplasm (MPN) patients. However, how NFE2 is transcriptionally regulated remains ambiguous. This study aims to explore the elements and molecular mechanisms involved in the transcriptional regulation of NFE2. MethodsActive enhancers were predicted by public NGS data and conformed experimentally via dual luciferase reporter assay. After that, PRO-seq and GRO-seq data was used to detect enhancer RNAs transcribed from these enhancers. RACE was utilized to clone the full length enhancer RNA (eRNA) transcripts, and RT-qPCR was used to measure their expression in different leukemia cell lines as well as the transcript levels during induced differentiation. Finally, to investigate the molecular function of the eRNA, overexpression and knockdown of the eRNA via lentivirus system was performed in K562 cells. ResultsWe identified three enhancers regulating NFE2 transcription, which located at -3.6k, -6.2k and +6.3k from NFE2 transcription start site (TSS) respectively. At the -3.6k enhancer, we cloned an eRNA transcript and characterized that as a lncRNA which was expressed and located in the nucleus in three types of leukemia cell lines. When this lncRNA was overexpressed, expression of NFE2 was upregulated and decreases of K562 cell proliferation and migration ability were observed. While knocking down of this lncRNA, the level of NFE2 decreases correspondingly and the proliferation ability of K562 cells increases accordingly. ConclusionWe identified an enhancer lncRNA that regulates NFE2 transcription positively and suppresses K562 cell proliferation.

Objective To investigate whether Heshouwuyin can delay the aging of Leydig cells in rat testis through DNA methyltransferase 1(DNMT1).Methods Totally 40 male Wistar rats were randomly divided into 4 groups,with 10 rats in each group.Immunohistochemistry was used to detect the expression levels of DNMT1 in testis tissue of rats.Testosterone content in serum of rats in each group was detected by ELISA test.A rat Leydig cell aging model was established by free radical oxidative damage.DNMT1 was knocked down by lentivirus in Leydig cells,and the cell senescence status and the testosterone content and testosterone synthesis key enzyme 3β-hydroxysteroid dehydrogenase(3β-HSD),cytochrome P450 family member 11A1(CYP11A1)content secreted by cells were detected by β-galactosidase(β-GAL)staining,immunofluorescenct staining and ELISA.Results Compared with the young control group(YCG),the expression of P16 protein and the positive rate of β-GAL in the testis tissue of rats in the natural aging group(NAG)increased significantly,and the expression of DNMT1 and serum testosterone levels decreased(P＜0.05).However,after Heshouwuyin intervention,the expression of P16 protein and the positive rate of β-GAL in the testis of aging rats were reduced,and DNMT1 expression and the serum testosterone levels increased(P＜0.05).The same trend was observed in Leydig cells.Knockdown of DNMT1 in Leydig cells,β-GAL positivity and P16 protein expression increased significantly,and testosterone secretion and testosterone synthesis key enzymes 3β-HSD,CYP11A1 content from Leydig cells decreased significantly,compared with the normal control group(NCG)(P＜0.05).When Heshouwuyin was added,the above phenomenon was improved.Conclusion Heshouwuyin can delay the aging of rat Leydig cells through DNMT1.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

OBJECTIVE: To investigate whether the combination of chemotherapy with staged Chinese herbal medicine (CHM) therapy could enhance health-related quality of life (QoL) in non-small-cell lung cancer (NSCLC) patients and prolong the time before deterioration of lung cancer symptoms, in comparison to chemotherapy alone. METHODS: A prospective, double-blind, randomized, controlled trial was conducted from December 14, 2017 to August 28, 2020. A total of 180 patients with stage I B-IIIA NSCLC from 5 hospitals in Shanghai were randomly divided into chemotherapy combined with CHM (chemo+CHM) group (120 cases) or chemotherapy combined with placebo (chemo+placebo) group (60 cases) using stratified blocking randomization. The European Organization for Research and Treatment of Cancer (EORTC) Quality-of-Life-Core 30 Scale (QLQ-C30) was used to evaluate the patient-reported outcomes (PROs) during postoperative adjuvant chemotherapy in patients with early-stage NSCLC. Adverse events (AEs) were assessed in the safety analysis. RESULTS: Out of the total 180 patients, 173 patients (116 in the chemo+CHM group and 57 in the chemo+placebo group) were included in the PRO analyses. The initial mean QLQ-C30 Global Health Status (GHS)/QoL scores at baseline were 57.16 ± 1.64 and 57.67 ± 2.25 for the two respective groups (P>0.05). Compared with baseline, the chemo+CHM group had an improvement in EORTC QLQ-C30 GHS/QoL score at week 18 [least squares mean (LSM) change 17.83, 95% confidence interval (CI) 14.29 to 21.38]. Conversely, the chemo+placebo group had a decrease in the score (LSM change -13.67, 95% CI -22.70 to -4.63). A significant between-group difference in the LSM GHS/QoL score was observed, amounting to 31.63 points (95% CI 25.61 to 37.64, P<0.001). The similar trends were observed in physical functioning, fatigue and appetite loss. At week 18, patients in the chemo+CHM group had a higher proportion of improvement or stabilization in GHS/QoL functional and symptom scores compared to chemo+placebo group (P<0.001). The median time to deterioration was longer in the chemo+CHM group for GHS/QoL score [hazard ratio (HR)=0.33, 95% CI 0.23 to 0.48, P<0.0010], physical functioning (HR=0.43, 95% CI 0.25 to 0.75, P=0.0005), fatigue (HR=0.47, 95% CI 0.30 to 0.72, P<0.0001) and appetite loss (HR=0.65, 95% CI 0.42 to 1.00, P=0.0215). The incidence of AEs was lower in the chemo+CHM group than in the chemo+placebo group (9.83% vs. 15.79%, P=0.52). CONCLUSION The staged CHM therapy could help improve the PROs of postoperative patients with early-stage NSCLC during adjuvant chemotherapy, which is worthy of further clinical research. (Registry No. NCT03372694).
Humans ; Carcinoma, Non-Small-Cell Lung/surgery* ; Male ; Middle Aged ; Female ; Lung Neoplasms/pathology* ; Double-Blind Method ; Drugs, Chinese Herbal/therapeutic use* ; Chemotherapy, Adjuvant ; Patient Reported Outcome Measures ; Quality of Life ; Aged ; Postoperative Period ; Prospective Studies

Objective To explore the regulatory role of transient receptor potential channel 6(TRPC6)on podocyte autophagy under the influence of homocysteine(Hcy)in mouse kidney.Methods Mouse renal podocytes were divided into control group and Hcy groups(stimulated by Hcy at 40,60,80 and 100 μmol/L for 48 h).The level of TRPC6 mRNA was assessed using quantitative reverse transcription polymerase chain reaction(qRT-PCR)to identify the optimal Hcy concentration for subsequent experiments.Western blotting was employed to evaluate the expression levels of autophagy-related proteins LC3 Ⅱ and p62,as well as the expression levels of podocyte structural proteins Nephrin and Podocin.The expression levels of TRPC6 mRNA and protein in both groups were determined using qRT-PCR,Western blotting and immunofluorescence.Transfections of cells with TRPC6 overexpression or interference were set as follows:(1)control group(untreated),negative control group of TRPC6 overexpression,and TRPC6 overexpression group;(2)control group(untreated),negative control group of TRPC6 interference,and TRPC6 interference group(si-1,si-2,si-3).The expression level of TRPC6 was detected using qRT-PCR.The cells after overexpressing or interfering of TRPC6 were further set as follows:(1)control group(untreated),Hcy group(80 μmol/L Hcy added),TRPC6 overexpression control+Hcy group,TRPC6 overexpression+Hcy group;(2)control group(untreated),Hcy group,TRPC6 interference control+Hcy group,and TRPC6 interference+Hcy group.The expression levels of p62,LC3 Ⅱ,and TRPC6 proteins were detected using Western blotting.Results qRT-PCR detection results showed that compared with control group,the expression level of TRPC6 mRNA in Hcy group increased with the increase of Hcy concentration,with the highest expression level observed at 80 μmol/L Hcy.Therefore,80 μmol/L Hcy was selected as the optimal concentration for intervention.At this time,the expression level of autophagy-related protein LC3 Ⅱ increased,and the expression level of p62 decreased(P<0.05).Western blotting results showed that compared with control group,the expression levels of podocyte-related proteins Nephrin and Podocin in Hcy group were significantly decreased(P<0.05).qRT-PCR results showed that compared with control group,the expression level of TRPC6 mRNA in Hcy group was significantly increased(P<0.05).Compared with negative control group for TRPC6 overexpression,both mRNA and protein expression levels of TRPC6 in TRPC6 overexpression group were significantly higher(P<0.05).Compared with negative control group for TRPC6 interference,both mRNA and protein expression levels of TRPC6 in TRPC6 interference group were significantly decreased(P<0.05).Western blotting results showed that compared with negative control group for TRPC6 overexpression,the expression level of autophagy-related protein LC3 Ⅱ in TRPC6 overexpression+Hcy group was significantly increased,and the expression level of p62 was significantly decreased(P<0.05).Compared with TRPC6 negative control+Hcy group for TRPC6 interference+Hcy,the expression level of autophagy-related protein LC3 Ⅱ in TRPC6 interference+Hcy group was significantly decreased,and the expression level of p62 was significantly increased(P<0.05).Conclusion Hcy can induce autophagy of renal podocytes.Inhibiting the expression of TRPC6 can significantly reduce the autophagy damage to podocytes.