Hepatolenticular degeneration, also known as Wilson's disease, is a type of autosomal recessive genetic disorder of copper metabolism. The causative gene, ATP7B, is located on the long arm of chromosome 13 and encodes a P-type ATPase that is involved in copper transport. Pathogenic mutations in the ATP7B gene sequence lead to the diminished or lost function of the ATP7B protein, resulting in pathological copper deposition in organs such as the liver, brain, kidneys, and cornea. Currently, the treatment of Wilson's disease primarily involves oral medications to promote copper excretion or reduce copper absorption so as to alleviate the state of illness. However, pharmacological treatment has objective limitations, including the need for lifelong therapy and varying degrees of adverse drug reactions in some patients. Gene therapy can fully correct the genetic defect, restore ATP7B protein function, achieve a curative effect, and improve the patient's quality of life.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Various therapeuti modailities have been engineered for lung cancer treatment, but their clinic application is severely impeded by the poor therapy efficiency and immunosuppressive microenvironment. Herein, we fabricated a library of small molecule redox-labile nanoparticles (NPs) (i.e., diPTX-2C NPs, diPTX-2S NPs, and diPTX-2Se NPs) by the self-assembly of dimer paclitaxel (PTX) prodrug, and then utilized these NPs with the traditional Chinese medicine (TCM) Qi-Yu-San-Long-Fang (Q) for effective chemoimmunotherapy on Lewis lung carcinoma (LLC)-bearing mice models. Under the high concentration of glutathione (GSH) and H₂O₂, diPTX-2Se NPs could specifically release PTX in cancer cells and exert a higher selectivity and toxicity than normal cells. In LLC tumor-bearing mice, oral administration of Q not only effectively downregulated programmed death ligand-1 (PD-L1) expression, but also remodeled the immunosuppressive tumor immune microenvironment via the increase of CD4⁺ T and CD8⁺ T cell proportion and the repolarization of M2 into M1 macrophages in tumor tissues, collectively achieving superior synergistic treatment outcomes in combination with intravenous PTX prodrug NPs. Besides, we found that the combination regimen also demonstrated excellent chemoimmunotherapeutic performances on low-dose small established tumor and high-dose large established tumor models. This study may shed light on the potent utilization of Chinese and Western-integrative strategy for efficient tumor chemoimmunotherapy.

Objective To determine the material basis of the antioxidant activity of Mori Folium by examining the spec-trum-effect relationship.Methods High-performance liquid chromatography(HPLC)was utilized to establish the fingerprints of Mori Folium.The antioxidant activity of Mori Folium was assessed using the 1,1-diphenyl-2-picrylhydrazyl(DPPH)radical scavenging assay and other related indicators.The spectrum-effect relationship of antioxidation was analyzed using gray relational analysis,bivariate correlation analysis,and partial least squares regression analysis.Molecular docking techniques were employed to predict potential interaction targets.Results HPLC fingerprints for 13 batches of Mori Folium were established,and thirteen common peaks were marked,with similarities ranging from 0.932 to 0.998.Nine common peaks were identified by comparing them to reference substances.Differences in antioxidant activity were observed among the different batches of Mori Folium.Based on the analysis of the spectrum-effect relationship,chemical components such as chlorogenic acid,cryptochlorogenic acid,rutin,and iso-chlorogenic acid B were found to contribute significantly to the antioxidant activity.These components may exert their effects by binding to several antioxidant protein targets,such as XOD,NO-1,and PPAR-α.This implies that Mori Folium might exert its an-tioxidant action via multiple components and targets.Conclusions By integrating the fingerprint and antioxidant activity of Mori Folium,the contributions of individual components to its antioxidant activity were determined.This study provides an experi-mental basis for elucidating the substances responsible for the antioxidant activity of Mori Folium and for establishing quality con-trol methods.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To determine the material basis of the antioxidant activity of Mori Folium by examining the spec-trum-effect relationship.Methods High-performance liquid chromatography(HPLC)was utilized to establish the fingerprints of Mori Folium.The antioxidant activity of Mori Folium was assessed using the 1,1-diphenyl-2-picrylhydrazyl(DPPH)radical scavenging assay and other related indicators.The spectrum-effect relationship of antioxidation was analyzed using gray relational analysis,bivariate correlation analysis,and partial least squares regression analysis.Molecular docking techniques were employed to predict potential interaction targets.Results HPLC fingerprints for 13 batches of Mori Folium were established,and thirteen common peaks were marked,with similarities ranging from 0.932 to 0.998.Nine common peaks were identified by comparing them to reference substances.Differences in antioxidant activity were observed among the different batches of Mori Folium.Based on the analysis of the spectrum-effect relationship,chemical components such as chlorogenic acid,cryptochlorogenic acid,rutin,and iso-chlorogenic acid B were found to contribute significantly to the antioxidant activity.These components may exert their effects by binding to several antioxidant protein targets,such as XOD,NO-1,and PPAR-α.This implies that Mori Folium might exert its an-tioxidant action via multiple components and targets.Conclusions By integrating the fingerprint and antioxidant activity of Mori Folium,the contributions of individual components to its antioxidant activity were determined.This study provides an experi-mental basis for elucidating the substances responsible for the antioxidant activity of Mori Folium and for establishing quality con-trol methods.

Hepatolenticular degeneration, also known as Wilson's disease, is a type of autosomal recessive genetic disorder of copper metabolism. The causative gene, ATP7B, is located on the long arm of chromosome 13 and encodes a P-type ATPase that is involved in copper transport. Pathogenic mutations in the ATP7B gene sequence lead to the diminished or lost function of the ATP7B protein, resulting in pathological copper deposition in organs such as the liver, brain, kidneys, and cornea. Currently, the treatment of Wilson's disease primarily involves oral medications to promote copper excretion or reduce copper absorption so as to alleviate the state of illness. However, pharmacological treatment has objective limitations, including the need for lifelong therapy and varying degrees of adverse drug reactions in some patients. Gene therapy can fully correct the genetic defect, restore ATP7B protein function, achieve a curative effect, and improve the patient's quality of life.

OBJECTIVE To investigate the effects and mechanism of galangin （GAL） on hepatocyte apoptosis in rats with obstructive jaundice （OJ） based on the Janus kinase 2 （JAK2）/signal transduction and activator of transcription 3 （STAT3） signaling pathway. METHODS Taking male SD rats as the object， the OJ model was established by double ligation of common bile duct， and 48 rats with successful modeling were randomly separated into OJ model group （model group）， low-dose GAL group （GAL-L group）， high-dose GAL group （GAL-H group） and high-dose GAL+JAK2 activator colivelin group （GAL-H+ colivelin group）， with 12 rats in each group； another 12 SD rats with laparotomy/abdominal closure without ligation were selected as sham operation group （sham group）. Each administration group was given relevant medicine intragastrically and/or intraperitoneally， once a day， for 7 consecutive days. After the last medication， the morphology of liver tissue in rats was observed； the serum levels of total bilirubin （TBIL）， direct bilirubin （DBIL）， alanine transaminase （ALT） and γ -glutamyltransferase （GGT）， as well as the levels of superoxide dismutase （SOD） and malondialdehyde （MDA） in mail：guoweishengjcy@126.com liver tissue were detected. The apoptotic rate of liver tissue cells， the expression levels of signaling pathway-related proteins （phosphorylated JAK2， JAK2， phosphorylated STAT3， STAT3） and apoptosis-related proteins [B cell lymphoma 2 （Bcl-2）， Bcl-2 related X protein （Bax）] were determined. RESULTS Compared with sham group， congestion of liver sinusoids， damage to liver lobules， disordered arrangement and swollen morphology of liver cells， the disappearance of nucleoli， and significant infiltration of inflammatory cells and fibrous tissue proliferation were observed in model group； the serum levels of TBIL， DBIL， ALT and GGT， the level of MDA in liver tissue， the apoptosis rate of liver cells， the protein expression of Bax， and the protein phosphorylation levels of JAK2 and STAT3 in liver tissue of model group were increased significantly （P＜0.05）； the level of SOD and the protein expression of Bcl-2 in liver tissue were decreased significantly （P＜0.05）. Compared with the model group， the pathological injuries of liver tissue were relieved in GAL-L group and GAL-H group， all quantitative indicators had significantly improved， and the effect of GAL-H group was more significant （P＜ 0.05）. Colivelin could significantly reverse the improvement effects of GAL on liver injury and related indicators of OJ rats （P＜ 0.05）. CONCLUSIONS GAL may inhibit liver cell apoptosis in OJ rats， improve liver function and alleviate oxidant stress， the mechanism of which may be associated with inhibiting JAK2/STAT3 signaling pathway.

T1 mapping is a widely-used magnetic resonance technology in recent years.By quantifying the T1 value and extracellular volume of myocardial tissue,T1 mapping can evaluate the cardiovascular diseases leading to myocardial fibrosis.The basic principle,scanning sequence and application of T1 mapping are reviewed in diseases leading to myocardial fibrosis,mainly including:myocardial infarction,hypertrophic cardiomyopathy,dilated cardiomyopathy,congenital heart disease,aortic stenosis,hypertensive heart disease,diabetic cardiomyopathy,uremic cardiomyopathy,heart failure with preserved ejection fraction,heart transplantation,etc.

This study aimed to investigate the effect and mechanisms of Ephedra Herb (EH) extract on adriamycin-induced nephrotic syndrome (NS), providing an experimental basis for the clinical treatment of NS. Hematoxylin and eosin staining, creatinine, urea nitrogen, and kidn injury molecule-1 were used to evaluate the activities of EH extract on renal function. The levels of inflammatory factors and oxidative stress were detected by kits. The levels of reactive oxygen species, immune cells, and apoptosis were measured by flow cytometry. A network pharmacological approach was used to predict the potential targets and mechanisms of EH extract in the treatment of NS. The protein levels of apoptosis-related proteins and CAMKK2, p-CAMKK2, AMPK, p-AMPK, mTOR and p-mTOR in the kidneys were detected by Western blot. The effective material basis of EH extract was screened by MTT assay. The AMPK pathway inhibitor (compound C, CC) was added to investigate the effect of the potent material basis on adriamycin-induced cell injury. EH extract significantly improved renal injury and relieve inflammation, oxidative stress, and apoptosis in rats. Network pharmacology and Western blot results showed that the effect of EH extract on NS may be associated with the CAMKK2/AMPK/mTOR signaling pathway. Moreover, methylephedrine significantly ameliorated adriamycin-induced NRK-52e cell injury. Methylephedrine also significantly improved the phosphorylation of AMPK and mTOR, which were blocked by CC. In sum, EH extract may ameliorate renal injury via the CAMKK2/AMPK/mTOR signaling pathway. Moreover, methylephedrine may be one of the material bases of EH extract.
Rats ; Animals ; Doxorubicin/adverse effects* ; Nephrotic Syndrome ; AMP-Activated Protein Kinases/metabolism* ; Signal Transduction ; TOR Serine-Threonine Kinases/metabolism* ; Apoptosis