ObjectiveTo investigate the mechanism by which Shenqi Yiliu prescription reverses cisplatin resistance in ovarian cancer cells by regulating the phosphatidylinositol-3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway-mediated glycolysis. MethodsThe human ovarian cancer A2780 cell line was intervened with progressively increasing doses of cisplatin （1 g·L^-1） to establish the cisplatin-resistant cell line A2780cisR， and the cell sensitivity to cisplatin was examined by the cell counting kit-8 （CCK-8） assay. High， medium， and low （39.9， 19.95， 9.98 g·kg^-1） doses of Shenqi Yiliu prescription-containing sera were used to treat A2780cisR cells for 48 h. Glucose consumption and lactate production were measured by the cuvette assay. Enzyme-linked immunosorbent assay （ELISA） was employed to determine the activities of glucose transporter （GLUT）， phosphofructokinase （PFK）， and pyruvate kinase （PK）. Terminal deoxynucleotidyl transferase dUTP nick end labeling （TUNEL） staining was used to detect apoptosis. Western blot was employed to quantify the protein levels of phosphorylated （p）-PI3K， p-Akt， p-mTOR， hexokinase 2 （HK2）， pyruvate kinase M2 （PKM2）， B-cell lymphoblastoma-2 （Bcl-2）， Bcl-2-associated X-protein （Bax）， and B-lymphoblastoma-2 gene-related promoter （Bad）. Real-time PCR was conducted to determine the mRNA levels of HK2， PKM2， Bax， Bcl-2， and Bad. ResultsThe median inhibitory concentration （IC₅₀） of cisplatin on A2780cisR cells was nearly 3 times that on A2780P cells. Compared with A2780P cells， A2780cisR cells showed increased glucose consumption， lactate production， GLUT， PFK， and PK activities， and mRNA and protein levels of p-PI3K， Akt， p-mTOR， HK2， PKM2， Bax （P<0.05）， and decreased apoptosis rate and Bcl-2 expression （P<0.05）. Compared with A2780cisR cells， medium- and high-dose Shenqi Yiliu prescription reduced the glucose consumption， lactate production， GLUT， PFK， and PK activities， and mRNA and protein levels of p-PI3K， Akt， p-mTOR， HK2， PKM2， Bax， and Bad （P<0.05）， while increasing the apoptosis rate and Bcl-2 expression （P<0.05）. ConclusionShenqi Yiliu prescription can inhibit glycolysis mediated by the PI3K/Akt/mTOR pathway to promote apoptosis， thereby reversing cisplatin resistance in ovarian cancer cells.

ObjectiveTo investigate the effect of Zishen Huoxue Formula （ZSXHF） on molecular-targeted therapy-associated proteinuria in patients with primary liver cancer （PLC）， to assess the efficacy of ZSXHF in the treatment of molecular-targeted therapy-associated proteinuria， and to provide a basis for clinical medication. MethodsA retrospective cohort study was conducted among the PLC patients with molecular-targeted therapy-associated proteinuria who were diagnosed and treated in The Department of Hepatology of Chinese PLA General Hospital， from January 1， 2022 to July 1， 2025. With ZSXHF treatment as the exposure factor， the patients with a cumulative treatment duration of ≥9 weeks were enrolled as traditional Chinese medicine （TCM） group， while those without TCM treatment were enrolled as control group. Propensity score matching was performed for the two groups at a ratio of 1∶1 based on sex， age， 24-hour urinary protein， blood urea nitrogen， and serum creatinine. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between groups. Univariate and multivariate Logistic regression analyses were used to investigate the influencing factors for promoting the improvement of targeted-therapy-associated proteinuria. ResultsA total of 137 PLC patients with targeted-therapy-associated proteinuria were enrolled， with 34 patients in the TCM group and 103 in the control group. After follow-up for 6 months， the TCM group had a significant improvement in urinary protein grade compared with the control group （χ²=9.261， P=0.016）. There were 25 patients in each group after propensity score matching， and after follow-up for 6 months， there were significant differences between the two groups in urinary protein grade （χ²=15.689， P<0.001） and 24-hour urinary protein （Z=-3.075， P=0.002）. After cumulative treatment with ZSXHF for ≥9 weeks， the TCM group had a significantly greater change in 24-hour urinary protein from baseline compared with the control group （t=-2.514， P=0.016）， while there were no significant differences in the changes in liver and renal function after ZSXHF intervention between the two groups （all P>0.05）. The multivariate Logistic regression analysis showed that ZSXHF treatment （odds ratio=2.901， 95% confidence interval： 1.135 — 7.417， P=0.026） was an independent influencing factor for improvement in molecular-targeted therapy-associated proteinuria. ConclusionZSHXF can effectively alleviate molecular-targeted therapy-associated proteinuria in PLC patients with a favorable safety profile， which provides a new reference for TCM prevention and treatment of molecular-targeted therapy-associated adverse reactions in PLC patients.

OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

Objective To predict the molecular mechanism of Shenqi Yiliu Prescription for the treatment of ovarian cancer based on network pharmacology and molecular docking technology;To conduct experimental validation.Methods The active components and targets of Shenqi Yiliu Prescription were retrieved and screened through TCMSP database,and ovarian cancer disease targets were searched through GeneCards database.A protein-protein interaction network between drugs and disease was established using the STRING database,and GO and KEGG pathway enrichment analysis was performed.Molecular docking between key active components and core targets was conducted.Ovarian cancer A2780 cells were intervened with Shenqi Yiliu Prescription low-,medium-and high-dosages containing serum.ELISA was used to detect TNF-α and IL-17 contents in cell supernatant;TUNEL staining was used to detect cell apoptosis;Western blot was used to detect the protein expressions of p-PI3K,p-AKT,phosphorylated T218(MDM2),and tumor protein P53(P53);real-time fluorescence quantitative PCR was used to detect the mRNA expressions of PI3K,AKT,MDM2 and P53.Results Network pharmacology analysis showed that quercetin,β-sitosterol and kaempferol were the active components of Shenqi Yiliu Prescription to treat ovarian cancer,and TP53,AKT1 and TNF were the core targets.The molecular docking results showed that the key active components could bind well to the core targets.KEGG enrichment analysis showed that the PI3K/AKT signaling pathway may be the core pathway for Shenqi Yiliu Prescription to intervene in ovarian cancer.The cell experiment results showed that compared with the control group,the contents of TNF-α and IL-17 in cell supernatant decreased(P<0.05),the apoptosis rate increased(P<0.05),the expressions of p-PI3K,p-AKT,MDM2 protein and PI3K,AKT,MDM2 mRNA decreased(P<0.05),and the expressions of P53 protein and mRNA decreased(P<0.05)in each Shenqi Yiliu Prescription group.Moreover,the intervention effect of Shenqi Yiliu Prescription was dose-dependent.Conclusion Shenqi Yiliu Prescription can effectively inhibit the proliferation and promote apoptosis of ovarian cancer cells,and its possible mechanism maybe related to inhibition of the activation of AKT-MDM2-P53 signaling pathway and the reduction of IL-17 and TNF-α contents.

Background and purpose:Modified radical mastectomy is an important approach for treating breast cancer,but the risk of postoperative incision infection rate is relatively high,which can seriously affect the treatment outcome and prognosis of these patients.This study aimed to investigate the etiological characteristics,related risk factors and changes of serum inflammatory factors such as procalcitonin(PCT),C reactive protein(CRP),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)in patients undergoing modified radical mastectomy.Methods:The clinical data of breast cancer patients admitted to the Third People's Hospital of Zhengzhou from February 2019 to February 2022 were analyzed retrospectively.The pathogenic bacteria distribution and related risk factors of postoperative incision infection and the changes of serum inflammatory factors such as PCT,CRP,TNF-α and IL-6 were explored.This study has been approved by the Medical Ethics Committee of the Third People's Hospital of Zhengzhou(No.:2025-04-014-K01)and acquired the informed consent.The Strengthening the Reporting of Observational Studies in Epidemiology(STROBE)checklist was followed for this case control study.Results:A total of 128 patients were enrolled in this study.All patients underwent modified radical mastectomy were divided into infected group(n=22)and non-infected group(n=106)according to whether incision infection occurred after surgery.The incision infection rate after modified radical mastectomy was 17.19%(22/128).Twenty-six strains of pathogenic bacteria were isolated and cultured from 22 patients with postoperative incision infection.Among these,16 strains were Gram-positive,accounting for 61.54%(16/26),mainly staphylococcus aureus and enterococcus faecalis.There were 10 Gram-negative strains,accounting for 38.46%(10/26),mainly escherichia coli and pseudomonas aeruginosa.The influencing factors of incision infection after modified radical mastectomy included preoperative neoadjuvant chemotherapy,intraoperative blood loss≥300 mL,postoperative drainage volume≥800 mL,drainage time≥7 d,albumin＜35 g/L,and white blood cell count＜4×109/L(P＜0.05).Multivariate logistic regression analysis showed that preoperative neoadjuvant chemotherapy,blood loss≥300 mL,postoperative drainage volume≥800 mL,duration of drainage time≥7 d,albumin＜35 g/L and white blood cell count＜4×109/L were the independent influencing factors of incision infection after modified radical mastectomy(P＜0.05).The peripheral blood levels of PCT,CRP,TNF-α and IL-6 in both groups increased compared with those before surgery,and those in the infected group were higher than those in the non-infected group(P＜0.05).Conclusion:staphylococcus aureus and escherichia coli were the main pathogens after modified radical breast mastectomy.Preoperative neoadjuvant chemotherapy,blood loss≥300 mL,postoperative drainage volume≥800 mL,drainage time≥7 d,albumin＜35 g/L and white blood cell count＜4×109/L were the independent influencing factors.The levels of serum PCT,CRP,TNF-α and IL-6 could be used as effective indicators to predict postoperative incision infection.

Objective:To compare the consistency and efficacy of ultrasound and CT in the preoperative diagnosis of cervical lymph node metastasis in patients with thyroid cancer, and to explore the clinical value of the combined application of multimodal imaging.Methods:The 119 thyroid cancer patients underwent surgical treatment from January to September 2023 in Zhongshan Hospital Affiliated to Dalian University were retrospectively analyzed. All patients underwent ultrasound and CT examinations before operation. The results of postoperative histopathology examination were taken as the gold standard, the efficacy of ultrasound and CT in preoperative diagnosis of cervical lymph node metastasis was compared.Results:A total of 1 721 cervical lymph nodes were detected in 119 patients with thyroid cancer, among which 1 378 lymph nodes were benign, and 343 lymph nodes were malignant, the rate of malignant lymph nodes was 19.93% (343/1 721). Among them, the proportion of malignant lymph nodes in area Ⅵ was the highest, 22.58% (245/1 085), followed by area Ⅲ, 21.26% (37/174). The sensitivity of CT in diagnosing cervical lymph node metastasis in patients with thyroid cancer was significantly higher than that of ultrasound diagnosis: 58.46% (38/65) vs. 38.46% (25/65), the specificity was significantly lower than that of ultrasound diagnosis: 85.19% (46/54) vs. 96.30% (52/54), and there were statistical differences ( P<0.01 and <0.05); there was no statistical difference in accuracy between CT and ultrasound ( P>0.05). Conclusions:In the preoperative diagnosis of cervical lymph node metastasis in patients with thyroid cancer by ultrasound and CT, ultrasound examination has no radiation risk, while CT examination has a higher diagnostic efficiency.

Objective To construct a nomogram model for prolonged length of stay in patients with acute cerebral infarction(ACI)based on total cerebral small vessel disease(CSVD)burden scores,and validate its effectiveness.Methods A total of 462 ACI patients admitted to the Department of Neurology of South Taihu Hospital Affiliated To Huzhou College from January 2021 to December 2023 were selected as the study subjects.According to the ratio of 7:3,patients were divided into training group of 323 cases and validation group of 139 cases.Lasso-Logistic regression was used to analyze the risk factors for prolonged length of stay in ACI patients,construct a nomogram model and validate the model using validation data.Receiver operating characteristic(ROC)curve were used to evaluate the predictive performance of the model.Results Based on the training group data,Lasso regression screened four non-zero coefficient indicators,including baseline National Institutes of Health stroke scale(NIHSS)score,age-adjusted Charlson comorbidity index(aCCI)score,neutrophil to lymphocyte ratio(NLR)and total CSVD burden score.Multivariate Logistic regression analysis showed that baseline NIHSS score,aCCI score,NLR and total CSVD burden score were independent risk factors for prolonged length of stay in ACI patients(P＜0.05).Based on the above four indicators,a nomogram model was constructed.The results showed that the ROC curve area of the model predicted prolonged length of stay between training group and validation group were 0.812(95％CI:0.756-0.868)and 0.820(95％CI:0.730-0.909).Conclusion The nomogram model for prolonged length of stay in ACI patients based on total CSVD burden score has good predictive performance and can be used as a screening tool for evaluating the prolonged length of stay in ACI patients.

Objective To explore the diagnostic value of amide proton transfer weighted imaging(APTWI)in conjunction with prostate-specific antigen density(PSAD)for detecting clinically significant prostate cancer(csPCa)within prostate imaging reporting and data system(PI-RADS)v2.13-5 grade lesions.Methods A retrospective analysis was conducted on the clinical and imaging data of 88 patients diagnosed with PI-RADS 3-5 grade prostate lesions.There were 59 patients with prostate cancer(PCa)and 29 with benign prostate lesion(BPL).The PCa group was divided into csPCa group(44 cases)and clinically insignificant prostate cancer(ciPCa)group(15 cases)according to Gleason score(GS).Spearman rank correlation analysis was used to analyze the correlation between APTWI-related parameters and GS in PCa.Comparative analyses were conducted to identify statistical discrepancies in APTWI and prostate-specific antigen(PSA)-related parameters across various groups.Subsequently,both solitary and combined diagnostic models were developed,and the receiver operating characteristic(ROC)curve were utilized to evaluate the diagnostic efficacy.Results APTmax and APTmean were moderately positively correlated with GS(r=0.683,r=0.705,respectively),and APTmin was weakly positively correlated with GS(r=0.547).APTWI and PSA-related parameters were significantly higher in the PCa group than in the BPL group,and APTmin had the highest efficacy in diagnosing PCa[area under the curve(AUC)=0.855].APTWI and PSA-related parameters differed among the BPL,ciPCa and csPCa groups(P＜0.05).Among the groups,statistically significant differences were observed in each parameter of APTWI and PSA-related indices between the BPL group and the csPCa group,as well as between the ciPCa group and the csPCa group(P＜0.05).In contrast,only APTmin and PSAD exhibited significant differ-ences between the BPL group and the ciPCa group(P＜0.05).The results of the combined diagnosis showed that APTmin+PSAD had the highest diagnostic efficacy for diagnosing PCa(AUC=0.899),and APTmean+PSAD had the highest diagnostic efficacy for diagnosing csPCa(AUC=0.838).Conclusion In PI-RADS 3-5 grade prostate lesions,APTWI and PSA-related parameters are statisti-cally different in the BPL,ciPCa,and csPCa groups.Notably,the combination of APTmean and PSAD exhibit the highest diagnostic efficacy for csPCa.

Objective To predict the molecular mechanism of Shenqi Yiliu Prescription for the treatment of ovarian cancer based on network pharmacology and molecular docking technology;To conduct experimental validation.Methods The active components and targets of Shenqi Yiliu Prescription were retrieved and screened through TCMSP database,and ovarian cancer disease targets were searched through GeneCards database.A protein-protein interaction network between drugs and disease was established using the STRING database,and GO and KEGG pathway enrichment analysis was performed.Molecular docking between key active components and core targets was conducted.Ovarian cancer A2780 cells were intervened with Shenqi Yiliu Prescription low-,medium-and high-dosages containing serum.ELISA was used to detect TNF-α and IL-17 contents in cell supernatant;TUNEL staining was used to detect cell apoptosis;Western blot was used to detect the protein expressions of p-PI3K,p-AKT,phosphorylated T218(MDM2),and tumor protein P53(P53);real-time fluorescence quantitative PCR was used to detect the mRNA expressions of PI3K,AKT,MDM2 and P53.Results Network pharmacology analysis showed that quercetin,β-sitosterol and kaempferol were the active components of Shenqi Yiliu Prescription to treat ovarian cancer,and TP53,AKT1 and TNF were the core targets.The molecular docking results showed that the key active components could bind well to the core targets.KEGG enrichment analysis showed that the PI3K/AKT signaling pathway may be the core pathway for Shenqi Yiliu Prescription to intervene in ovarian cancer.The cell experiment results showed that compared with the control group,the contents of TNF-α and IL-17 in cell supernatant decreased(P<0.05),the apoptosis rate increased(P<0.05),the expressions of p-PI3K,p-AKT,MDM2 protein and PI3K,AKT,MDM2 mRNA decreased(P<0.05),and the expressions of P53 protein and mRNA decreased(P<0.05)in each Shenqi Yiliu Prescription group.Moreover,the intervention effect of Shenqi Yiliu Prescription was dose-dependent.Conclusion Shenqi Yiliu Prescription can effectively inhibit the proliferation and promote apoptosis of ovarian cancer cells,and its possible mechanism maybe related to inhibition of the activation of AKT-MDM2-P53 signaling pathway and the reduction of IL-17 and TNF-α contents.